阅读说明：本技术 基于设备故障识别及维保数据库的设备维保系统及方法 (Equipment maintenance system and method based on equipment fault identification and maintenance database ) 是由 刘士钢 何羊煜 姜大卫 王忠实 于 2020-12-10 设计创作，主要内容包括：本发明提供一种基于设备故障识别及维保数据库的设备维保系统及方法。该方法包括如下步骤：(1)设备状态采集模块实时采集设备的运行状态,并将采集数据发送给上位机；(2)上位机对设备状态采集模块采集到的实时状态数据进行判定后存储,处理器模块分析各种故障条件和反应各种故障的典型数据图谱、各种故障出现后的维保方案,并通过存储模块存储该设备的故障识别及维保数据库；(3)上位机根据接收到的实时状态数据的变化状态,对故障进行智能识别及维保数据库的数据进行比对,就可准确判断设备的故障种类。本发明可以准确实时识别设备运行的故障前兆,实现设备的预测性维保。(The invention provides an equipment maintenance system and method based on equipment fault identification and a maintenance database. The method comprises the following steps: (1) the equipment state acquisition module acquires the running state of the equipment in real time and sends acquired data to the upper computer; (2) the upper computer judges and stores real-time state data acquired by the equipment state acquisition module, the processor module analyzes various fault conditions, typical data maps reflecting various faults and maintenance schemes after various faults occur, and the storage module stores a fault identification and maintenance database of the equipment; (3) the upper computer intelligently identifies the fault and compares the data of the maintenance database according to the change state of the received real-time state data, and the fault type of the equipment can be accurately judged. The invention can accurately identify the fault precursor of equipment operation in real time and realize predictive maintenance of the equipment.)

1. An equipment maintenance system based on equipment fault identification and a maintenance database is characterized by comprising an equipment state acquisition module, an upper computer and an alarm module, wherein the upper computer comprises a logic judgment analysis module and a data storage module; the device state acquisition module is used for acquiring the running state of the device and sending the acquired data to the logic judgment analysis module of the upper computer, the logic judgment analysis module of the upper computer is used for making judgment after being compared with the working state of the device in the data storage module, the data storage module is used for storing historical data, and the alarm module is used for giving an alarm when the logic judgment analysis module gives out fault early warning.

2. The equipment fault identification and maintenance database-based equipment maintenance system according to claim 1, wherein the equipment status acquisition module comprises a sensor and a camera.

3. The equipment fault identification and maintenance database-based equipment maintenance system according to claim 1, wherein the logic judgment analysis module comprises an analog-to-digital converter, the analog-to-digital converter is connected with an amplifying circuit, the amplifying circuit is connected with a comparing circuit, the comparing circuit is connected with a counter, and the counter is connected with a processor module and the processor module.

4. The device maintenance system based on device failure identification and maintenance database according to claim 1, wherein the data storage module comprises a flash memory storage block for flash memory storage and a memory storage block for memory storage.

5. A method for performing predictive maintenance on equipment failure by using the equipment maintenance system based on equipment failure identification and maintenance database is characterized by comprising the following steps:

(1) the equipment state acquisition module acquires the running state of the equipment in real time and sends acquired data to the upper computer;

(2) the upper computer judges and stores real-time state data acquired by the equipment state acquisition module, the processor module analyzes various fault conditions, typical data maps reflecting various faults and maintenance schemes after various faults occur, and the storage module stores a fault identification and maintenance database of the equipment;

(3) the upper computer intelligently identifies the fault and compares the data of the maintenance database according to the change state of the received real-time state data, and the fault type of the equipment can be accurately judged.

The technical field is as follows:

the invention relates to an equipment maintenance system and method based on equipment fault identification and a maintenance database, and belongs to the technical field of intelligent control.

Background art:

for a long time, equipment maintenance adopts fault maintenance and plan maintenance, which not only seriously affects production plans, but also has great maintenance investment. The online monitoring and fault diagnosis of the rotary machine also needs professionals to accurately judge the running state of the equipment, and the equipment cannot be widely and continuously applied. However, such defects as rotor imbalance, rotor misalignment, etc. have a slow parameter change process before they occur, which may lead to equipment failure or accident in the event of accumulation after long-term operation of the equipment. In the prior art, the purposes of fault diagnosis and maintenance are mainly achieved through fault monitoring, and the fault monitoring can be effective only after a fault occurs, so that greater potential safety hazards exist, and therefore a predictive maintenance system for equipment faults is urgently needed.

The invention content is as follows:

the invention aims to provide an equipment maintenance system and method based on equipment fault identification and maintenance database, which can accurately identify fault precursors of equipment operation in real time and realize predictive maintenance of the equipment by establishing a large number of equipment fault identification and maintenance databases. The intelligent management of enterprise production equipment is realized, and the cost reduction and the efficiency improvement of enterprises are realized by the intelligent management. And economic loss caused by equipment failure is effectively avoided.

The above purpose is realized by the following technical scheme:

an equipment maintenance system based on equipment fault identification and a maintenance database comprises an equipment state acquisition module, an upper computer and an alarm module, wherein the upper computer comprises a logic judgment analysis module and a data storage module; the device state acquisition module is used for acquiring the running state of the device and sending the acquired data to the logic judgment analysis module of the upper computer, the logic judgment analysis module of the upper computer is used for making judgment after being compared with the working state of the device in the data storage module, the data storage module is used for storing historical data, and the alarm module is used for giving an alarm when the logic judgment analysis module gives out fault early warning.

The equipment state acquisition module of the equipment maintenance system based on equipment fault identification and maintenance database comprises a sensor and a camera.

The device maintenance system based on the device fault identification and maintenance database is characterized in that the logic judgment analysis module comprises an analog-to-digital converter, the analog-to-digital converter is connected with an amplifying circuit, the amplifying circuit is connected with a comparison circuit, the comparison circuit is connected with a counter, the counter is connected with a processor module, and the processor module is connected with the processor module.

The device maintenance system based on the device fault identification and maintenance database comprises a data storage module and a data storage module, wherein the data storage module comprises a flash memory storage block for flash memory storage and a memory storage block for memory storage.

The method for performing predictive maintenance on equipment failure by using the equipment maintenance system based on equipment failure identification and maintenance database comprises the following steps:

(1) the equipment state acquisition module acquires the running state of the equipment in real time and sends acquired data to the upper computer;

(2) the upper computer judges and stores real-time state data acquired by the equipment state acquisition module, the processor module analyzes various fault conditions, typical data maps reflecting various faults and maintenance schemes after various faults occur, and the storage module stores a fault identification and maintenance database of the equipment;

(3) the upper computer intelligently identifies the fault and compares the data of the maintenance database according to the change state of the received real-time state data, and the fault type of the equipment can be accurately judged.

Has the advantages that:

the invention creates a fault identification and maintenance database of all equipment by utilizing the state monitoring and fault diagnosis mature technology of the rotary machine according to the possible faults of the equipment, realizes the predictive maintenance of the equipment, forms complete equipment maintenance management software by fault maintenance, plan maintenance and predictive maintenance, accurately identifies the fault precursors of equipment operation in real time and realizes the predictive maintenance of the equipment.

The specific implementation mode is as follows:

the equipment maintenance system based on equipment fault identification and maintenance database comprises an equipment state acquisition module, an upper computer and an alarm module, wherein the upper computer comprises a logic judgment analysis module and a data storage module; the device state acquisition module is used for acquiring the running state of the device and sending the acquired data to the logic judgment analysis module of the upper computer, the logic judgment analysis module of the upper computer is used for making judgment after being compared with the working state of the device in the data storage module, the data storage module is used for storing historical data, and the alarm module is used for giving an alarm when the logic judgment analysis module gives out fault early warning.

The equipment state acquisition module of the equipment maintenance system based on equipment fault identification and maintenance database comprises a sensor and a camera.

The device maintenance system based on the device fault identification and maintenance database is characterized in that the logic judgment analysis module comprises an analog-to-digital converter, the analog-to-digital converter is connected with an amplifying circuit, the amplifying circuit is connected with a comparison circuit, the comparison circuit is connected with a counter, the counter is connected with a processor module, and the processor module is connected with the processor module.

The device maintenance system based on the device fault identification and maintenance database comprises a data storage module and a data storage module, wherein the data storage module comprises a flash memory storage block for flash memory storage and a memory storage block for memory storage.

The method for performing predictive maintenance on equipment failure by using the equipment maintenance system based on equipment failure identification and maintenance database comprises the following steps:

(1) the equipment state acquisition module acquires the running state of the equipment in real time and sends acquired data to the upper computer;

(2) the upper computer judges and stores real-time state data acquired by the equipment state acquisition module, the processor module analyzes various fault conditions, typical data maps reflecting various faults and maintenance schemes after various faults occur, and the storage module stores a fault identification and maintenance database of the equipment;

(3) the upper computer intelligently identifies the fault and compares the data of the maintenance database according to the change state of the received real-time state data, and the fault type of the equipment can be accurately judged.

Failures of various devices in the present embodiment, such as failures of inner rings, outer rings, rolling elements, or cage members of rolling bearings; faults of rotor unbalance, shafting misalignment, dynamic and static friction, part loosening, medium excitation and the like of the whole system; aiming at various fault states, researching sensors and data acquisition systems for sensing various faults; according to real-time data acquired by a data acquisition system, researching the characteristics of the acquired data, analyzing various fault phenomena, judging conditions of a fault map, typical data maps reflecting various faults and maintenance schemes after various faults occur, and establishing a fault identification and maintenance database of the equipment; the intelligent fault identification method has the advantages that the change state of data is tracked in a targeted manner, faults are identified intelligently (such as rolling bearings judged by the result of Baulon analysis, rotor unbalance judged by primary harmonic of vibration signal frequency spectrum division, rotor misalignment judged by secondary harmonic of vibration signal frequency spectrum division and the like), and the accuracy of intelligent fault identification is guaranteed. Comparing the data of the real-time running state of the equipment with the data of the fault identification and maintenance database of the equipment, and accurately judging the fault type of the equipment; the equipment is maintained according to the fault identification of the equipment and the maintenance scheme of the maintenance database, so that the predictive maintenance of the equipment is realized; according to each industry and various devices, a huge device fault identification and maintenance database is established through long-term accumulation.

The foregoing embodiments are given for the purpose of illustrating the invention in a clear and therefore not limiting sense, and it will be apparent to those skilled in the art that variations and modifications of other forms may be made on the basis of the foregoing description, which is not intended to be exhaustive or exhaustive, and it is intended to claim all such variations and modifications as are within the scope of the invention.