阅读说明：本技术 一种起重机设备的智能化管控方法及系统 (Intelligent management and control method and system for crane equipment ) 是由 奚乐 于 2021-10-24 设计创作，主要内容包括：本申请公开了一种起重机设备的智能化管控方法及系统,所述方法包括：通过获得第一起重机设备的工作环境信息和历史起重物件信息生成工作运行参数集合和电气控制状态显示参数集合；将工作运行参数集合、电气控制状态显示参数集合输入设备生产安全管控系统进行评估,生成当前设备生产安全状态；基于摄像头装置获得第一工作图像集合；进一步获得运行危险区域占比信息和当前工作失误率；生成设备生产安全预警信号,并对第一起重机设备的生产安全进行预警和智能化管控。解决了现有技术中存在人力管理起重机设备难度高、实际管控效果差的技术问题。达到了基于设备综合情况和实际工作状态智能化管控起重机设备,提高设备生产工作安全性的技术效果。(The application discloses an intelligent management and control method and system for crane equipment, wherein the method comprises the following steps: generating a working operation parameter set and an electrical control state display parameter set by obtaining working environment information and historical hoisting object information of first crane equipment; inputting the working operation parameter set and the electrical control state display parameter set into the equipment production safety control system for evaluation to generate a current equipment production safety state; obtaining a first working image set based on a camera device; further acquiring operation dangerous area proportion information and the current working error rate; and generating an equipment production safety early warning signal, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment. The technical problems that in the prior art, the difficulty of manpower management of crane equipment is high and the actual management and control effect is poor are solved. The crane equipment is intelligently controlled based on the comprehensive condition of the equipment and the actual working state, and the technical effect of improving the production and working safety of the equipment is achieved.)

1. An intelligent management and control method for crane equipment, wherein the method is applied to an intelligent management and control system, and comprises the following steps:

obtaining working environment information and historical hoisting object information of first hoisting machine equipment;

according to the working environment information and the historical hoisting object information, intelligently acquiring working operation parameters of the first crane to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set;

inputting the working operation parameter set as a first control feature and the electrical control state display parameter set as a second control feature into an equipment production safety control system for evaluation to generate a current equipment production safety state;

based on a camera device, acquiring an image of the current working state of the first crane equipment to obtain a first working image set;

acquiring operation danger area ratio information of the first crane equipment according to the first working image set;

obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information;

and generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

2. The method of claim 1, wherein the method further comprises:

acquiring equipment data information of the first crane equipment based on an internet of things information conduction technology to obtain equipment data management information;

screening and obtaining special equipment management information according to the equipment data management information, wherein each special equipment in the special equipment management information corresponds to each operation parameter in the working operation parameter set one by one;

acquiring a historical point inspection information set and a historical maintenance information set of each piece of special equipment according to the special equipment management information;

judging whether the historical maintenance information set meets a preset maintenance degree threshold value in the historical spot inspection information set;

if the historical maintenance information set does not meet the preset maintenance degree threshold value in the historical spot inspection information set, screening the historical maintenance information which does not meet the preset maintenance degree threshold value, and correspondingly generating an early warning special equipment set;

and performing targeted intelligent management and control on the early warning special equipment set according to the equipment production safety early warning signal.

3. The method of claim 2, wherein the targeted intelligent management and control of the set of early warning features further comprises:

screening and obtaining a spare part usage management information set of each special device according to the special device management information;

acquiring a used information set and a spare part quality information set of each special device within preset time according to the spare part usage management information set;

obtaining a current replacement frequency set of each special device based on the preset time and the used information set;

based on big data, obtaining a historical replacement frequency set of each special device;

comparing and training the current replacement frequency set and the historical replacement frequency set to obtain a first problem special equipment set, wherein the current replacement frequency of the first problem special equipment set is inconsistent with the historical replacement frequency;

and screening the spare part quality information set according to the first problem special equipment set to obtain a corresponding problem spare part quality set, and performing targeted management and control replacement.

4. The method of claim 3, wherein the method further comprises:

acquiring a residual inventory information set of each special device within the preset time according to the spare part usage management information set;

screening and obtaining a first batch of special equipment sets according to the current replacement frequency set, wherein the replacement frequency of the first batch of special equipment sets is the maximum batch set in the current replacement frequency set;

judging whether the first batch of special equipment sets have a first consumption characteristic or not;

if the first batch of special equipment set has the first consumption characteristic, presetting standard inventory allowance;

judging whether the residual inventory information set meets the standard inventory allowance or not;

and if the residual inventory information set does not meet the standard inventory allowance, generating a first early warning signal, early warning the residual inventory information set, and performing targeted control and complement.

5. The method of claim 1, wherein the obtaining operational hazard zone occupancy information for the first crane device further comprises:

obtaining a target working area of the first crane equipment;

performing target image segmentation and recombination on the first working image set to generate an operation safe area range and an operation dangerous area range of the first crane equipment;

and acquiring the operation dangerous area proportion information based on the target working area and the operation dangerous area range.

6. The method of claim 1, wherein said obtaining a current operating failure rate of said first crane device further comprises:

constructing an equipment production safety level evaluation system, wherein the equipment production safety level evaluation system is contained in the intelligent management and control system;

inputting the current equipment production safety state into the equipment production safety level evaluation system to obtain a current equipment production safety level as a first calculation parameter;

acquiring actual correction parameters according to the operation dangerous area proportion information;

and calculating to obtain the current working failure rate according to the first calculation parameter and the actual correction parameter.

7. The method of claim 6, wherein said building a plant production security level assessment system further comprises:

collecting historical production working parameter information of the first crane equipment based on big data;

performing longitudinal clustering analysis on the historical production working parameter information to generate production working parameter step distribution, wherein the step top end of the production working parameter step distribution is a standard working parameter, and the step bottom end is a parameter with the maximum deviation from the standard working parameter;

and sequentially matching production safety levels to all steps in the production working parameter step distribution, and constructing the equipment production safety level evaluation system.

8. An intelligent management and control system of crane equipment, wherein the system comprises:

a first obtaining unit: the first obtaining unit is used for obtaining the working environment information and the historical hoisting object information of the first hoisting machine equipment;

a first generation unit: the first generating unit is used for intelligently acquiring working operation parameters of the first crane according to the working environment information and the historical hoisting object information to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set;

a second generation unit: the second generation unit is used for inputting the working operation parameter set as a first control characteristic and the electrical control state display parameter set as a second control characteristic into the equipment production safety control system for evaluation to generate a current equipment production safety state;

a second obtaining unit: the second obtaining unit is used for carrying out image acquisition on the current working state of the first crane equipment based on the camera device to obtain a first working image set;

a third obtaining unit: the third obtaining unit is used for obtaining the operation danger area ratio information of the first crane equipment according to the first working image set;

a fourth obtaining unit: the fourth obtaining unit is used for obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information;

a first management and control unit: and the first management and control unit is used for generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

9. An intelligent management and control system for crane equipment, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

Technical Field

The application relates to the field of artificial intelligence, in particular to an intelligent management and control method and system for crane equipment.

Background

With the rapid development of industrial construction, enterprises have omission or lack of effective supervision means in the management of special equipment, so that serious accidents such as fatigue fracture of a steel wire rope, bearing blocking derailment, overload overturning and the like occur. In the production activities of heavy industry and smelting enterprises, the crane as special equipment is indispensable to use, and the management and maintenance of the enterprises are the main units for supervision, management and maintenance except for the supervision of government departments. In the production process of heavy industry and manufacturing enterprises, the hoisting equipment is not available, and the research on effectively managing the crane by using the computer technology has practical significance for the safety development of the enterprises.

In the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:

the technical problems of high difficulty and poor actual management and control effect of manpower management crane equipment in the prior art exist.

Disclosure of Invention

The application aims to provide an intelligent management and control method and system for crane equipment, and the method and system are used for solving the technical problems that in the prior art, the difficulty of manually managing the crane equipment is high, and the actual management and control effect is poor.

In view of the foregoing problems, the embodiments of the present application provide an intelligent management and control method and system for crane equipment.

In a first aspect, the present application provides an intelligent management and control method for crane equipment, where the method is implemented by an intelligent management and control system for crane equipment, where the method includes: generating a working operation parameter set and an electrical control state display parameter set by obtaining working environment information and historical hoisting object information of first crane equipment; inputting the working operation parameter set and the electrical control state display parameter set into the equipment production safety control system for evaluation to generate a current equipment production safety state; obtaining a first working image set based on a camera device; further acquiring operation dangerous area proportion information and the current working error rate; and generating an equipment production safety early warning signal, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

In another aspect, the present application further provides an intelligent management and control system for a crane apparatus, configured to execute the intelligent management and control method for a crane apparatus according to the first aspect, where the system includes: a first obtaining unit: the first obtaining unit is used for obtaining the working environment information and the historical hoisting object information of the first hoisting machine equipment; a first generation unit: the first generating unit is used for intelligently acquiring working operation parameters of the first crane according to the working environment information and the historical hoisting object information to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set; a second generation unit: the second generation unit is used for inputting the working operation parameter set as a first control characteristic and the electrical control state display parameter set as a second control characteristic into the equipment production safety control system for evaluation to generate a current equipment production safety state; a second obtaining unit: the second obtaining unit is used for carrying out image acquisition on the current working state of the first crane equipment based on the camera device to obtain a first working image set; a third obtaining unit: the third obtaining unit is used for obtaining the operation danger area ratio information of the first crane equipment according to the first working image set; a fourth obtaining unit: the fourth obtaining unit is used for obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information; a first management and control unit: and the first management and control unit is used for generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

In a third aspect, an embodiment of the present application further provides an intelligent management and control system for a crane apparatus, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

1. generating a working operation parameter set and an electrical control state display parameter set by obtaining working environment information and historical hoisting object information of first crane equipment; inputting the working operation parameter set and the electrical control state display parameter set into the equipment production safety control system for evaluation to generate a current equipment production safety state; obtaining a first working image set based on a camera device; further acquiring operation dangerous area proportion information and the current working error rate; and generating an equipment production safety early warning signal, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment. The crane equipment is intelligently controlled based on the comprehensive condition of the equipment and the actual working state, and the technical effect of improving the production and working safety of the equipment is achieved.

2. The intelligent management and control system obtains the corresponding spare parts with the largest replacement frequency of each device in the preset time through screening, and then judges whether the corresponding spare parts are consumable spare parts, if the corresponding spare parts belong to the consumable spare parts, the consumption frequency of the corresponding spare parts is obtained based on the preset time and the replacement number of the spare parts in the preset time, whether the actual inventory number of the current spare parts is the theoretical residual inventory number is further intelligently judged, if the actual inventory number of the current spare parts is not satisfied, early warning information is sent out, relevant personnel are reminded to purchase the corresponding devices in advance, corresponding inventory is supplemented, and therefore the working progress of the devices is prevented from being influenced.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

Fig. 1 is a schematic flow chart of an intelligent management and control method for crane equipment according to an embodiment of the present disclosure;

fig. 2 is a schematic flow chart illustrating the process of performing targeted intelligent management and control on the early-warning special equipment set according to the equipment production safety early-warning signal in the intelligent management and control method for crane equipment according to the embodiment of the present application;

fig. 3 is a schematic flow chart illustrating a process of obtaining proportion information of the operation dangerous area based on the target working area and the operation dangerous area range in the intelligent management and control method for the crane equipment according to the embodiment of the present application;

fig. 4 is a schematic flow chart illustrating a process of calculating and obtaining the current work failure rate according to the first calculation parameter and the actual correction parameter in the intelligent management and control method for crane equipment according to the embodiment of the present application;

fig. 5 is a schematic structural diagram of an intelligent management and control system of crane equipment according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals:

a first obtaining unit 11, a first generating unit 12, a second generating unit 13, a second obtaining unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a first managing unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.

Detailed Description

The embodiment of the application provides an intelligent management and control method and system for crane equipment, and solves the technical problems that in the prior art, the difficulty of manually managing the crane equipment is high, and the actual management and control effect is poor. The crane equipment is intelligently controlled based on the comprehensive condition of the equipment and the actual working state, and the technical effect of improving the production and working safety of the equipment is achieved.

In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.

With the rapid development of industrial construction, enterprises have omission or lack of effective supervision means in the management of special equipment, so that serious accidents such as fatigue fracture of a steel wire rope, bearing blocking derailment, overload overturning and the like occur. In the production activities of heavy industry and smelting enterprises, the crane as special equipment is indispensable to use, and the management and maintenance of the enterprises are the main units for supervision, management and maintenance except for the supervision of government departments. In the production process of heavy industry and manufacturing enterprises, the hoisting equipment is not available, and the research on effectively managing the crane by using the computer technology has practical significance for the safety development of the enterprises.

The technical problems of high difficulty and poor actual management and control effect of manpower management crane equipment in the prior art exist.

In view of the above technical problems, the technical solution provided by the present application has the following general idea:

the application provides an intelligent management and control method of crane equipment, which is applied to an intelligent management and control system of the crane equipment, wherein the method comprises the following steps: obtaining working environment information and historical hoisting object information of first hoisting machine equipment; according to the working environment information and the historical hoisting object information, intelligently acquiring working operation parameters of the first crane to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set; inputting the working operation parameter set as a first control feature and the electrical control state display parameter set as a second control feature into an equipment production safety control system for evaluation to generate a current equipment production safety state; based on a camera device, acquiring an image of the current working state of the first crane equipment to obtain a first working image set; acquiring operation danger area ratio information of the first crane equipment according to the first working image set; obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information; and generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.

Example one

Referring to fig. 1, an embodiment of the present application provides an intelligent management and control method for crane equipment, where the method is applied to an intelligent management and control system for crane equipment, and the method specifically includes the following steps:

step S100: obtaining working environment information and historical hoisting object information of first hoisting machine equipment;

particularly, the intelligent management and control method for the crane equipment is applied to an intelligent management and control system for the crane equipment, can intelligently judge the current production state of the crane equipment and further obtain corresponding work error rate information, so that safety early warning is triggered and intelligent management and control are carried out, and major safety accidents are prevented. The first crane equipment refers to any crane equipment which utilizes the intelligent management and control method of the crane equipment to perform intelligent management and control on the equipment. The working environment information refers to a working environment condition corresponding to the first crane equipment and comprises relevant working environment information such as a working area position, air temperature and humidity, air flow rate and the like; the historical hoisting object information refers to the related historical work information of the goods and the types, the weights, the quantities and the like of the objects which are hoisted since the first crane equipment is put into production for use.

Through the paths of the historical working records of the first crane equipment and the like, the basic information such as the working environment, the historical working condition and the like corresponding to the first crane equipment is obtained, the basic condition of the equipment is mastered, and meanwhile, basic data and evaluation basis are provided for the subsequent analysis of the state safety of the equipment.

Step S200: according to the working environment information and the historical hoisting object information, intelligently acquiring working operation parameters of the first crane to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set;

specifically, according to the working environment information and the historical hoisting object information, the parameter information corresponding to the working state of the first crane equipment can be intelligently acquired, and all the parameter information forms the working operation parameters of the first crane. In addition, the intelligent management and control system intelligently collects the information of the electrical control condition displayed in the working state of the first crane equipment, so that the electrical control state display parameter set can be generated. The data condition and the corresponding electrical control state condition corresponding to each parameter under the working state of the intelligent acquisition equipment are achieved through the intelligent management and control system, and the technical effect of mastering the actual parameter condition and the corresponding electrical control state of the equipment under the working state is achieved.

Step S300: inputting the working operation parameter set as a first control feature and the electrical control state display parameter set as a second control feature into an equipment production safety control system for evaluation to generate a current equipment production safety state;

specifically, the working operation parameter set of the first crane device in the working state is used as a first control feature, the electrical control state display parameter set corresponding to the first crane device in the working state is used as a second control feature, the first crane device is input to an equipment production safety control system for evaluation, the equipment production safety control system can perform overall evaluation on the safety performance of the first crane device in the current working state according to the parameter information and the corresponding electrical control state information during the equipment running, and the evaluation result is the current equipment production safety state. The technical effect of objectively, accurately and effectively evaluating the state safety of the equipment is achieved by taking the parameters in the working operation of the equipment and the corresponding electrical control state as indexes for evaluating the state safety of the equipment.

Step S400: based on a camera device, acquiring an image of the current working state of the first crane equipment to obtain a first working image set;

particularly, the camera is intelligent camera, can be automatically right the state of first crane equipment during operation carries out multi-angle, the real-time collection of many distances. All images acquired by the camera device in the working state of the first crane equipment form a corresponding first working image set. The technical effects of automatically monitoring the working condition of the equipment and automatically acquiring and storing the image information of the working state of the equipment are achieved, and an image basis is provided for the actual working state of the later-stage analysis equipment.

Step S500: acquiring operation danger area ratio information of the first crane equipment according to the first working image set;

specifically, according to the image of the equipment in the working state acquired by the camera in real time, the proportion of the dangerous area to the total area when the equipment is in work, namely the running dangerous area proportion information of the first crane equipment, can be analyzed and obtained. Through analyzing the working image of the equipment collected by the camera, the corresponding danger proportion condition can be obtained based on the image information calculation, so that the technical effects of determining the danger condition under the working state of the equipment and objectively evaluating the danger degree of the equipment are achieved.

Step S600: obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information;

specifically, the current equipment production safety state obtained by the comprehensive equipment production safety control system through evaluation and the operation dangerous area proportion information obtained through analysis based on the images collected by the camera, and the intelligent control system automatically calculates the fault probability of the first crane equipment in the working state, namely the current working fault rate of the first crane equipment. The technical effects that based on the actual working safety state information and the danger degree information of the equipment, the error rate index of the equipment in the current state is automatically evaluated, and further effective regulation and control can be carried out based on the current error rate are achieved.

Step S700: and generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment.

Specifically, according to the error rate data of the current work of the first crane equipment, the intelligent management and control system automatically sends out corresponding early warning prompts, namely, the equipment production safety early warning signals are automatically generated. Further, production safety of the first crane equipment can be pre-warned and intelligently controlled based on the equipment production safety pre-warning signal. For example, when the current working error rate of the first crane equipment is within 10%, the system sends out a corresponding three-level early warning signal; when the current working error rate of the first crane equipment is 10% -30%, the system sends out a corresponding secondary early warning signal; and when the current working error rate of the first crane equipment is more than 30%, the system sends out a corresponding primary early warning signal. Through the targeted early warning signal of the system, relevant workers can make corresponding coping preparations and coping schemes aiming at different early warning levels, so that the working state safety of the equipment is ensured.

Further, as shown in fig. 2, step S800 in this embodiment of the present application further includes:

step S810: acquiring equipment data information of the first crane equipment based on an internet of things information conduction technology to obtain equipment data management information;

step S820: screening and obtaining special equipment management information according to the equipment data management information, wherein each special equipment in the special equipment management information corresponds to each operation parameter in the working operation parameter set one by one;

step S830: acquiring a historical point inspection information set and a historical maintenance information set of each piece of special equipment according to the special equipment management information;

step S840: judging whether the historical maintenance information set meets a preset maintenance degree threshold value in the historical spot inspection information set;

step S850: if the historical maintenance information set does not meet the preset maintenance degree threshold value in the historical spot inspection information set, screening the historical maintenance information which does not meet the preset maintenance degree threshold value, and correspondingly generating an early warning special equipment set;

step S860: and performing targeted intelligent management and control on the early warning special equipment set according to the equipment production safety early warning signal.

Specifically, the internet of things information transmission technology is used for acquiring various required information of objects needing to be monitored, connected and interacted through various devices and technologies such as various information sensors, a radio frequency identification technology, a global positioning system, an infrared sensor and a laser scanner. The Internet of things information conduction technology can be used for acquiring relevant data information such as equipment production date, each accessory performance parameter, equipment use time, use duration, parameters in a use state and the like corresponding to all equipment, and forming the equipment data management information. In addition, the special equipment refers to eight types of equipment which relate to life safety and have high danger. And screening and obtaining management information related to the special equipment based on the equipment data management information, wherein each special equipment in the special equipment management information corresponds to each operation parameter in the working operation parameter set one by one.

Further according to the special equipment management information, historical inspection and maintenance information corresponding to each special equipment can be obtained, wherein the historical inspection and maintenance information comprises each inspection, maintenance time and project condition, and relevant information such as time, inspection projects and inspection results of all historical inspection equipment form the historical spot inspection information set; and forming the historical maintenance information set by the time, maintenance items, maintenance results and other related information of all historical maintenance equipment. And judging whether the maintenance condition generated in each historical check in the historical point inspection information set, namely the historical maintenance information set meets a preset maintenance degree threshold value. The preset maintenance degree threshold value is an equipment maintenance effect range comprehensively obtained by the intelligent management and control system based on relevant information such as equipment data and actual use conditions. And if the historical maintenance information set in the historical spot inspection information set does not meet the preset maintenance degree threshold value, the system immediately screens the historical maintenance information which does not meet the preset maintenance degree threshold value, and meanwhile, corresponding early warning special equipment is matched based on the historical maintenance information, namely, the early warning special equipment set is generated. And finally, based on the equipment production safety early warning signal, performing targeted intelligent management and control on the early warning special equipment set. The technical effect of carrying out targeted management and control on each special device based on historical inspection and maintenance conditions is achieved, and therefore effective management and control of the devices are achieved.

Further, step S860 in the embodiment of the present application further includes:

step S861: screening and obtaining a spare part usage management information set of each special device according to the special device management information;

step S862: acquiring a used information set and a spare part quality information set of each special device within preset time according to the spare part usage management information set;

step S863: obtaining a current replacement frequency set of each special device based on the preset time and the used information set;

step S864: based on big data, obtaining a historical replacement frequency set of each special device;

step S865: comparing and training the current replacement frequency set and the historical replacement frequency set to obtain a first problem special equipment set, wherein the current replacement frequency of the first problem special equipment set is inconsistent with the historical replacement frequency;

step S866: and screening the spare part quality information set according to the first problem special equipment set to obtain a corresponding problem spare part quality set, and performing targeted management and control replacement.

Specifically, the use number of various spare parts corresponding to the special equipment can be obtained based on the special equipment management information, and the use number of all spare parts forms a spare part use management information set of each special equipment. Then, according to the spare part usage management information set, the usage number, the usage duration and other related information of various spare parts corresponding to each special device in the preset time can be obtained, and the quality of each spare part is evaluated according to the usage duration, the inspection condition, the maintenance condition and the like of the spare part, so that the used information set and the spare part quality information set are obtained. The preset time refers to a time range set based on information such as equipment maintenance conditions and historical replacement of spare parts, for example, one month. And further calculating to obtain the replacement frequency information of various spare parts corresponding to each special device after statistics based on the preset time and the used information set, so as to form the current replacement frequency set of each special device.

And obtaining a historical replacement frequency set of each special device based on big data, and comparing the current replacement frequency set with the historical replacement frequency set to obtain the special devices with different current replacement frequencies and historical replacement frequencies to form the first problem special device set. And further comparing and screening the quality information of various spare parts in the first problem special equipment set to obtain problem spare parts with quality information lower than historical quality information, wherein all the problem spare parts form the problem spare part quality set, and finally, the management and control replacement is performed on the problem spare parts in a targeted manner.

The inspection and the maintenance of corresponding grade frequency are carried out according to the quality grade of the spare parts, the intelligent degree of the control spare parts is further improved, the technical effect of the spare parts of high-quality management equipment is achieved, and meanwhile, the labor cost is reduced.

Further, step S8610 in the embodiment of the present application further includes:

step S8611: acquiring a residual inventory information set of each special device within the preset time according to the spare part usage management information set;

step S8612: screening and obtaining a first batch of special equipment sets according to the current replacement frequency set, wherein the replacement frequency of the first batch of special equipment sets is the maximum batch set in the current replacement frequency set;

step S8613: judging whether the first batch of special equipment sets have a first consumption characteristic or not;

step S8614: if the first batch of special equipment set has the first consumption characteristic, presetting standard inventory allowance;

step S8615: judging whether the residual inventory information set meets the standard inventory allowance or not;

step S8616: and if the residual inventory information set does not meet the standard inventory allowance, generating a first early warning signal, early warning the residual inventory information set, and performing targeted control and complement.

Specifically, the use number of various spare parts corresponding to the special equipment can be obtained based on the special equipment management information, and the use number of all spare parts forms a spare part use management information set of each special equipment. According to the spare part usage management information set, the respective remaining quantities of various spare parts corresponding to the various special devices within the preset time can be obtained, and the remaining inventory information set is formed.

And calculating the replacement frequency corresponding to each spare part based on the preset time and the replacement number of each spare part in the preset time, wherein the equipment corresponding to the spare part with the highest current replacement frequency forms a first batch of special equipment set. And further judging whether the spare parts corresponding to the equipment in the first batch of special equipment set are consumable spare parts or not, namely whether the spare parts have a first consumption characteristic or not, if so, calculating the replacement number of the spare parts in the preset time based on the corresponding consumption frequency and the proper replacement frequency, and obtaining preset standard inventory allowance information of the spare parts based on the total inventory of the spare parts.

And further, judging whether the current residual inventory information set meets the standard inventory allowance, and if the residual inventory information set does not meet the standard inventory allowance, automatically generating a first early warning signal by the system for early warning the residual inventory information set and reminding related working personnel to purchase and supplement corresponding equipment spare parts.

The intelligent management and control system obtains the corresponding spare parts with the largest replacement frequency of each device in the preset time through screening, and then judges whether the corresponding spare parts are consumable spare parts, if the corresponding spare parts belong to the consumable spare parts, the consumption frequency of the corresponding spare parts is obtained based on the preset time and the replacement number of the spare parts in the preset time, whether the actual inventory number of the current spare parts is the theoretical residual inventory number is further intelligently judged, if the actual inventory number of the current spare parts is not satisfied, early warning information is sent out, relevant personnel are reminded to purchase the corresponding devices in advance, corresponding inventory is supplemented, and therefore the working progress of the devices is prevented from being influenced.

Further, as shown in fig. 3, step S500 in the embodiment of the present application further includes:

step S510: obtaining a target working area of the first crane equipment;

step S520: performing target image segmentation and recombination on the first working image set to generate an operation safe area range and an operation dangerous area range of the first crane equipment;

step S530: and acquiring the operation dangerous area proportion information based on the target working area and the operation dangerous area range.

Specifically, the area range of the first crane device during actual operation is determined, and the actual operation area range is further divided to form a plurality of small areas, so that the small areas which are relatively safe and the small areas which are relatively dangerous, that is, the operation safe area range and the operation dangerous area range, of the first crane device during actual operation can be obtained. According to the actual working area of the first crane equipment collected by the camera, comparing the divided small areas, the area of the first crane equipment running in the dangerous small area during actual working can be obtained, and the running dangerous area occupation ratio information can be obtained through calculation. The area of the crane equipment in the dangerous area during actual working is calculated based on the divided safety and dangerous area information, so that the proportion of the actual operation of the crane equipment in the dangerous area is obtained, and the quantification of the operation danger degree of the equipment is realized.

Further, as shown in fig. 4, step S600 in this embodiment of the present application further includes:

step S610: constructing an equipment production safety level evaluation system, wherein the equipment production safety level evaluation system is contained in the intelligent management and control system;

step S620: inputting the current equipment production safety state into the equipment production safety level evaluation system to obtain a current equipment production safety level as a first calculation parameter;

step S630: acquiring actual correction parameters according to the operation dangerous area proportion information;

step S640: and calculating to obtain the current working failure rate according to the first calculation parameter and the actual correction parameter.

Specifically, the equipment production safety level evaluation system is used for comprehensively evaluating the safety of the equipment based on the actual working condition of the equipment, and is included in the intelligent management and control system. Firstly, the current equipment production safety state obtained by the equipment production safety control system is input into the equipment production safety level evaluation system, the current equipment production safety level is automatically evaluated and obtained, and the evaluation result is used as a first calculation parameter. And then according to the operation dangerous area ratio information, obtaining a safety level correction coefficient based on the actual working condition of the equipment, namely the actual correction parameter. And finally, the safety degree of the equipment in the current working process can be obtained by integrating the first calculation parameter and the actual correction parameter, and the current working error rate data of the equipment can be obtained by calculation. The equipment evaluation result obtained by the equipment production safety level evaluation system is corrected based on the actual working state of the equipment, so that the accuracy of the equipment safety evaluation result is improved, and the reasonability and effectiveness of intelligent management and control of the equipment are improved.

Further, step S610 in the embodiment of the present application further includes:

step S611: collecting historical production working parameter information of the first crane equipment based on big data;

step S612: performing longitudinal clustering analysis on the historical production working parameter information to generate production working parameter step distribution, wherein the step top end of the production working parameter step distribution is a standard working parameter, and the step bottom end is a parameter with the maximum deviation from the standard working parameter;

step S613: and sequentially matching production safety levels to all steps in the production working parameter step distribution, and constructing the equipment production safety level evaluation system.

Specifically, the relevant parameter information of the first crane equipment in the historical production work can be acquired based on big data, and the longitudinal clustering analysis is further performed on the historical production work parameter information of the first crane equipment to generate corresponding production work parameter step distribution. The top end of the ladder of the production working parameter ladder distribution is standard working parameters of all indexes of the first crane equipment in theoretical analysis, and the bottom end of the ladder is actual parameter information of the first crane equipment with the maximum deviation between all the indexes and the standard working parameters in an actual working state. And matching the corresponding production safety level for each step in the production working parameter step distribution in sequence, namely, in the production working parameter step, the more the actual parameter is in the bottom end range, the lower the current production working safety level of the corresponding equipment is, and finally completing the construction of the equipment production safety level evaluation system. For example, when the actual production working parameters of the equipment are at the top end of the step distribution, the system evaluates that the corresponding production is in a first-level safety level, and at the moment, the production state of the equipment is safest and the error rate is lowest.

To sum up, the intelligent management and control method for the crane equipment provided by the embodiment of the application has the following technical effects:

1. generating a working operation parameter set and an electrical control state display parameter set by obtaining working environment information and historical hoisting object information of first crane equipment; inputting the working operation parameter set and the electrical control state display parameter set into the equipment production safety control system for evaluation to generate a current equipment production safety state; obtaining a first working image set based on a camera device; further acquiring operation dangerous area proportion information and the current working error rate; and generating an equipment production safety early warning signal, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment. The crane equipment is intelligently controlled based on the comprehensive condition of the equipment and the actual working state, and the technical effect of improving the production and working safety of the equipment is achieved.

2. The intelligent management and control system obtains the corresponding spare parts with the largest replacement frequency of each device in the preset time through screening, and then judges whether the corresponding spare parts are consumable spare parts, if the corresponding spare parts belong to the consumable spare parts, the consumption frequency of the corresponding spare parts is obtained based on the preset time and the replacement number of the spare parts in the preset time, whether the actual inventory number of the current spare parts is the theoretical residual inventory number is further intelligently judged, if the actual inventory number of the current spare parts is not satisfied, early warning information is sent out, relevant personnel are reminded to purchase the corresponding devices in advance, corresponding inventory is supplemented, and therefore the working progress of the devices is prevented from being influenced.

Example two

Based on the same inventive concept as the intelligent management and control method for crane equipment in the foregoing embodiment, the present invention further provides an intelligent management and control system for crane equipment, referring to fig. 5, where the system includes:

the first obtaining unit 11: the first obtaining unit 11 is configured to obtain working environment information and historical hoisting object information of a first hoisting machine device;

the first generation unit 12: the first generating unit 12 is configured to intelligently acquire working operation parameters of the first crane according to the working environment information and the historical hoisting object information, generate a working operation parameter set, and intelligently acquire electrical control state display information of the first crane equipment, and generate an electrical control state display parameter set;

the second generation unit 13: the second generating unit 13 is configured to input the working operation parameter set as a first control feature and the electrical control state display parameter set as a second control feature into the equipment production safety control system for evaluation, and generate a current equipment production safety state;

the second obtaining unit 14: the second obtaining unit 14 is configured to perform image acquisition on the current working state of the first crane equipment based on a camera device, so as to obtain a first working image set;

the third obtaining unit 15: the third obtaining unit 15 is configured to obtain operation danger area ratio information of the first crane device according to the first working image set;

the fourth obtaining unit 16: the fourth obtaining unit 16 is configured to obtain a current working error rate of the first crane device according to the current device production safety state and the operation dangerous area proportion information;

the first management and control unit 17: and the first management and control unit 17 is configured to generate an equipment production safety early warning signal according to the current working error rate, and perform early warning and intelligent management and control on the production safety of the first crane equipment.

Further, the system further comprises:

a fifth obtaining unit, configured to collect device data information of the first crane device based on an internet of things information conduction technology, and obtain device data management information;

a sixth obtaining unit, configured to filter and obtain special device management information according to the device data management information, where each special device in the special device management information corresponds to each operating parameter in the working operating parameter set one to one;

a seventh obtaining unit, configured to obtain, according to the special device management information, a historical point inspection information set and a historical maintenance information set of each special device;

the first judgment unit is used for judging whether the historical maintenance information set meets a preset maintenance degree threshold value in the historical spot inspection information set;

a third generating unit, configured to, if the historical repair information set does not meet the preset repair degree threshold in the historical spot inspection information set, screen the historical repair information that does not meet the preset repair degree threshold, and generate an early warning special equipment set correspondingly;

and the second control unit is used for carrying out targeted intelligent control on the early warning special equipment set according to the equipment production safety early warning signal.

Further, the system further comprises:

an eighth obtaining unit, configured to filter and obtain a spare part usage management information set of each piece of special equipment according to the special equipment management information;

a ninth obtaining unit, configured to obtain, according to the spare part usage management information set, a used information set and a spare part quality information set of each piece of special equipment within a preset time;

a tenth obtaining unit, configured to obtain, based on the preset time and the used information set, a current replacement frequency set of each piece of special equipment;

an eleventh obtaining unit, configured to obtain a historical replacement frequency set of each piece of special equipment based on big data;

a twelfth obtaining unit, configured to perform comparison training on the current replacement frequency set and the historical replacement frequency set to obtain a first problem special device set, where a current replacement frequency of the first problem special device set is inconsistent with a historical replacement frequency;

and the thirteenth obtaining unit is used for screening the spare part quality information set according to the first problem special equipment set, obtaining a corresponding problem spare part quality set, and performing targeted management and control replacement.

Further, the system further comprises:

a fourteenth obtaining unit, configured to obtain, according to the spare part usage management information set, a remaining inventory information set of each piece of special equipment within the preset time;

a fifteenth obtaining unit, configured to filter and obtain a first batch of special equipment sets according to the current replacement frequency set, where a replacement frequency of the first batch of special equipment sets is a maximum batch set in the current replacement frequency set;

the second judging unit is used for judging whether the first batch of special equipment set has a first consumption characteristic or not;

the first setting unit is used for presetting standard inventory allowance if the first batch of special equipment set has the first consumption characteristic;

a third judging unit, configured to judge whether the remaining inventory information set satisfies the standard inventory allowance;

and the fourth generating unit is used for generating a first early warning signal if the residual inventory information set does not meet the standard inventory allowance, early warning the residual inventory information set, and performing targeted management and control complement.

Further, the system further comprises:

a sixteenth obtaining unit, configured to obtain a target working area of the first crane device;

a fifth generating unit, configured to perform target image segmentation and reassembly on the first working image set, and generate an operation safe region range and an operation dangerous region range of the first crane device;

a seventeenth obtaining unit, configured to obtain the operation dangerous area proportion information based on the target working area and the operation dangerous area range.

Further, the system further comprises:

the first construction unit is used for constructing an equipment production safety level evaluation system, and the equipment production safety level evaluation system is contained in the intelligent management and control system;

the second setting unit is used for inputting the current equipment production safety state into the equipment production safety level evaluation system to obtain a current equipment production safety level as a first calculation parameter;

an eighteenth obtaining unit, configured to obtain an actual correction parameter according to the operation risk area proportion information;

a nineteenth obtaining unit, configured to calculate and obtain the current work failure rate according to the first calculation parameter and the actual correction parameter.

Further, the system further comprises:

the first acquisition unit is used for acquiring historical production working parameter information of the first crane equipment based on big data;

the sixth generation unit is used for performing longitudinal clustering analysis on the historical production working parameter information to generate production working parameter step distribution, wherein the top end of the step of the production working parameter step distribution is a standard working parameter, and the bottom end of the step is a parameter with the maximum deviation from the standard working parameter;

and the second construction unit is used for sequentially matching production safety levels to all the steps in the production working parameter step distribution and constructing the equipment production safety level evaluation system.

In the present description, each embodiment is described in a progressive manner, and the main point of each embodiment is that the embodiment is different from other embodiments, the aforementioned intelligent management and control method for crane equipment in the first embodiment of fig. 1 and the specific example are also applicable to the intelligent management and control system for crane equipment in this embodiment, and through the foregoing detailed description of the intelligent management and control method for crane equipment, a person skilled in the art can clearly know the intelligent management and control system for crane equipment in this embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.

Fig. 6 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.

Based on the inventive concept of the intelligent management and control method for the crane equipment in the foregoing embodiments, the present invention further provides an intelligent management and control system for the crane equipment, wherein a computer program is stored thereon, and when the program is executed by a processor, the steps of any one of the foregoing intelligent management and control methods for the crane equipment are implemented.

Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.

The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

The application provides an intelligent management and control method of crane equipment, which is applied to an intelligent management and control system of the crane equipment, wherein the method comprises the following steps: obtaining working environment information and historical hoisting object information of first hoisting machine equipment; according to the working environment information and the historical hoisting object information, intelligently acquiring working operation parameters of the first crane to generate a working operation parameter set, and intelligently acquiring electrical control state display information of the first crane equipment to generate an electrical control state display parameter set; inputting the working operation parameter set as a first control feature and the electrical control state display parameter set as a second control feature into an equipment production safety control system for evaluation to generate a current equipment production safety state; based on a camera device, acquiring an image of the current working state of the first crane equipment to obtain a first working image set; acquiring operation danger area ratio information of the first crane equipment according to the first working image set; obtaining the current working error rate of the first crane equipment according to the current equipment production safety state and the operation dangerous area proportion information; and generating an equipment production safety early warning signal according to the current working error rate, and carrying out early warning and intelligent management and control on the production safety of the first crane equipment. The technical problems that in the prior art, the difficulty of manpower management of crane equipment is high and the actual management and control effect is poor are solved. The crane equipment is intelligently controlled based on the comprehensive condition of the equipment and the actual working state, and the technical effect of improving the production and working safety of the equipment is achieved.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.