阅读说明：本技术 基于多种监测信息的设备摩擦和润滑在线监测系统 (Equipment friction and lubrication on-line monitoring system based on multiple monitoring information ) 是由 陈�峰 武通海 张西宁 胡炼 王成 韩凤梅 陈刚 黄佰朋 王志宽 张郡 苏志忠 于 2018-08-30 设计创作，主要内容包括：本发明提供一种基于多种监测信息的设备摩擦和润滑在线监测系统,包括：数据采集终端、数据存储设备和数据处理设备。其中,数据采集终端用于采集待检测设备的油样,检测油样得到油样的监测参数,油样的监测参数包括：磨粒信息、运动粘度、污染度和水污染,数据存储设备用于存储数据采集终端检测得到的油样的监测参数,数据处理设备用于根据油样的监测参数,确定待检测设备是否发生故障。相比于现有技术中采用单一的监测参数确定待检测设备发生故障,本实施例中采用多种监测参数,从而使得监测结果更加准确,进而能够及时发现设备的故障并消除隐患。(The invention provides an equipment friction and lubrication on-line monitoring system based on various monitoring information, which comprises: the system comprises a data acquisition terminal, data storage equipment and data processing equipment. Wherein, data acquisition terminal is used for gathering the oil sample of waiting to examine equipment, detects the oil sample and obtains the monitoring parameter of oil sample, and the monitoring parameter of oil sample includes: the device comprises abrasive particle information, kinematic viscosity, pollution degree and water pollution, wherein the data storage device is used for storing monitoring parameters of an oil sample detected by the data acquisition terminal, and the data processing device is used for determining whether the device to be detected breaks down or not according to the monitoring parameters of the oil sample. Compared with the prior art in which a single monitoring parameter is adopted to determine that the equipment to be detected breaks down, the method and the device for detecting faults of the equipment to be detected adopt various monitoring parameters, so that the monitoring result is more accurate, and further the faults of the equipment can be found in time and hidden dangers are eliminated.)

1. An on-line equipment friction and lubrication monitoring system based on multiple monitoring information, comprising:

a data acquisition terminal, the data acquisition terminal comprising:

the monitoring sampling device is connected with the equipment to be detected and is used for collecting the oil sample;

the circulating power supply device is connected with the monitoring and sampling device through an oil pipeline, the oil pipeline is used for conveying the oil sample collected by the monitoring and sampling device to the circulating power supply device, and the circulating power supply device is used for adjusting the flow and/or pressure of the oil sample;

the sensor integration device is connected with the circulating power supply device and is used for detecting the oil sample conveyed by the circulating power supply device to obtain the kinematic viscosity, the pollution degree and the water pollution of the oil sample;

the abrasion friction sensors are respectively connected with the sensor integration device and used for detecting the oil sample to obtain abrasive particle information of the oil sample and sending the abrasive particle information to the sensor integration device;

the control device is connected with the circulating power supply device and the sensor integration device and is used for controlling the circulating power supply device and the sensor integration device to work;

the power supply device is used for supplying power to the circulating power supply device and the sensor integrated device;

the data storage equipment is used for storing monitoring parameters of the oil sample detected by the data acquisition terminal, and the monitoring parameters comprise kinematic viscosity, pollution degree, water pollution and abrasive particle information of the oil sample;

and the data processing equipment is used for determining whether the equipment to be detected fails or not according to the monitoring parameters of the oil sample.

2. The system of claim 1, further comprising:

and the fault processing equipment is used for outputting alarm information when the data processing equipment determines that the equipment to be detected has a fault, wherein the alarm information is used for informing the equipment to be detected of the fault.

3. The system of claim 1, wherein the data collection terminal further comprises:

the leakage acquisition device is used for acquiring leakage information of the oil sample in the data acquisition terminal;

and the accident state switching device is respectively connected with the leakage acquisition device, the power supply device and the oil delivery pipeline and is used for judging whether the oil leakage accident happens to the data acquisition terminal according to the leakage information acquired by the leakage acquisition device, and when the oil leakage accident happens to the data acquisition terminal, the power supply device and the oil delivery pipeline are disconnected.

4. The system of claim 3, wherein the leak collection apparatus comprises:

the inlet flow sensor is used for collecting the inlet flow of the oil sample;

the outlet flow sensor is used for collecting the outlet flow of the oil sample;

the calculation module is used for calculating the flow difference value of the outlet and the inlet of the oil sample according to the inlet flow and the outlet flow of the oil sample, and driving the liquid level sensor and the pressure sensor when the flow difference value is larger than a preset difference value;

the liquid level sensor is used for collecting the liquid level of the oil sample;

the pressure sensor is used for collecting the pressure of the oil sample;

the calculation module is further used for acquiring the leakage information according to the liquid level acquired by the liquid level sensor and the pressure acquired by the pressure sensor.

5. The system according to any one of claims 1-4, wherein the data processing device comprises:

the abnormal data identification module is used for identifying abnormal data in the monitoring parameters of the oil sample;

the data operation module is used for calculating parameters to be compared corresponding to the monitoring parameters according to normal data in the monitoring parameters of the oil sample, wherein the normal data are data except the abnormal data;

and the early warning judgment module is used for respectively judging whether the parameters to be compared corresponding to the monitoring parameters belong to the normal range of the pre-acquired monitoring parameters, and when the parameters to be compared corresponding to any monitoring parameter do not belong to the normal range of the monitoring parameters, determining that the equipment to be detected fails.

6. The system of claim 5, wherein the data processing device further comprises:

and the self-learning module is used for determining the normal range of the monitoring parameters when the equipment to be detected works normally according to the monitoring parameters of the oil samples collected in a plurality of detection periods.

7. The system of claim 6, wherein the normal range of the monitored parameter comprises: the upper limit and the lower limit of the monitoring parameters and the average value range of the monitoring parameters.

8. The system of claim 3, wherein the oil samples collected by the monitoring and sampling module are oil samples of a plurality of monitoring points of the device to be detected.

9. The system of claim 1, wherein the abrasive particle information comprises a concentration of abrasive particles, a morphology of abrasive particles, and a size of abrasive particles.

10. The system of claim 1, wherein the data acquisition terminal periodically acquires oil samples according to a preset sampling period;

the data processing equipment is also used for determining the variation trend of the monitoring parameters of the oil sample according to the monitoring parameters of the oil sample in a plurality of continuous sampling periods.

Technical Field

The invention relates to the field of oil monitoring, in particular to an equipment friction and lubrication online monitoring system based on various monitoring information.

Background

During the operation of mechanical equipment, friction is generated between contact parts, and the friction can cause material transfer, energy loss, part abrasion, vibration and noise generation, reduction of the working efficiency of the equipment, equipment failure and the like. Lubrication improves wear of the contact surfaces of the parts, but lubricating oil used in mechanical equipment deteriorates after a certain period of use due to the intrusion of foreign substances, self-oxidation, coagulation, hydrolysis and decomposition. The equipment wear and lubrication monitoring technology is to obtain the information of the lubrication and wear states of mechanical equipment by obtaining the performance change of the lubricating oil used by the mechanical equipment and the condition of wear particles in the oil, thereby evaluating the operation condition of the mechanical equipment and diagnosing and predicting faults.

At present, the equipment wear and lubrication monitoring technology mainly adopts an off-line monitoring technology, and the off-line monitoring technology is used for analyzing lubricating oil samples acquired off-line by using technical means such as light, electricity, magnetism and the like. The off-line monitoring technology is easy to cause secondary pollution of the oil sample in the oil sample collection process, the analysis time is long, and the analysis result is inaccurate. Therefore, the online monitoring technology is applied, and the online monitoring technology is characterized in that a detection probe of an oil analysis device is directly installed on a detected mechanical device, and indexes such as temperature, viscosity and granularity of lubricating oil are monitored in real time, so that the state of the lubricating oil is mastered at any time, faults can be found as soon as possible, and hidden dangers are eliminated.

However, in the existing online monitoring technology, the monitoring information is single, so that the monitoring result is inaccurate.

Disclosure of Invention

The invention provides an equipment friction and lubrication online monitoring system based on various monitoring information, which determines whether equipment has a fault or not through various monitoring information based on an oil sample, so that a monitoring result is more accurate.

The invention provides an equipment friction and lubrication on-line monitoring system based on various monitoring information, which comprises:

a data acquisition terminal, the data acquisition terminal comprising:

the monitoring sampling device is connected with the equipment to be detected and is used for collecting the oil sample;

the circulating power supply device is connected with the monitoring and sampling device through an oil pipeline, the oil pipeline is used for conveying the oil sample collected by the monitoring and sampling device to the circulating power supply device, and the circulating power supply device is used for adjusting the flow and/or pressure of the oil sample;

the sensor integration device is connected with the circulating power supply device and is used for detecting the oil sample conveyed by the circulating power supply device to obtain the kinematic viscosity, the pollution degree and the water pollution of the oil sample;

the abrasion friction sensors are respectively connected with the sensor integration device and used for detecting the oil sample to obtain abrasive particle information of the oil sample and sending the abrasive particle information to the sensor integration device;

the control device is connected with the circulating power supply device and the sensor integration device and is used for controlling the circulating power supply device and the sensor integration device to work;

the power supply device is used for supplying power to the circulating power supply device and the sensor integrated device;

the data storage equipment is used for storing monitoring parameters of the oil sample detected by the data acquisition terminal, and the monitoring parameters comprise kinematic viscosity, pollution degree, water pollution and abrasive particle information of the oil sample;

and the data processing equipment is used for determining whether the equipment to be detected fails or not according to the monitoring parameters of the oil sample.

Optionally, the online monitoring system further includes: and the fault processing equipment is used for outputting alarm information when the data processing equipment determines that the equipment to be detected has a fault, wherein the alarm information is used for informing the equipment to be detected of the fault.

Optionally, the data acquisition terminal further includes:

the leakage acquisition device is used for acquiring leakage information of the oil sample in the data acquisition terminal;

and the accident state switching device is respectively connected with the leakage acquisition device, the power supply device and the oil delivery pipeline and is used for judging whether the oil leakage accident happens to the data acquisition terminal according to the leakage information acquired by the leakage acquisition device, and when the oil leakage accident happens to the data acquisition terminal, the power supply device and the oil delivery pipeline are disconnected.

Optionally, the leakage collection device includes:

the inlet flow sensor is used for collecting the inlet flow of the oil sample;

the outlet flow sensor is used for collecting the outlet flow of the oil sample;

the calculation module is used for calculating the flow difference value of the outlet and the inlet of the oil sample according to the inlet flow and the outlet flow of the oil sample, and driving the liquid level sensor and the pressure sensor when the flow difference value is larger than a preset difference value;

the liquid level sensor is used for collecting the liquid level of the oil sample;

the pressure sensor is used for collecting the pressure of the oil sample;

the calculation module is further used for acquiring the leakage information according to the liquid level acquired by the liquid level sensor and the pressure acquired by the pressure sensor.

Optionally, the data processing apparatus includes:

the abnormal data identification module is used for identifying abnormal data in the monitoring parameters of the oil sample;

the data operation module is used for calculating parameters to be compared corresponding to the monitoring parameters according to normal data in the monitoring parameters of the oil sample, wherein the normal data are data except the abnormal data;

and the early warning judgment module is used for respectively judging whether the parameters to be compared corresponding to the monitoring parameters belong to the normal range of the pre-acquired monitoring parameters, and when the parameters to be compared corresponding to any monitoring parameter do not belong to the normal range of the monitoring parameters, determining that the equipment to be detected fails.

Optionally, the data processing apparatus further includes: and the self-learning module is used for determining the normal range of the monitoring parameters when the equipment to be detected works normally according to the monitoring parameters of the oil samples collected in a plurality of detection periods.

Optionally, the normal range of the monitoring parameter includes: the upper limit and the lower limit of the monitoring parameters and the average value range of the monitoring parameters.

Optionally, the oil samples collected by the monitoring sampling module are the oil samples of a plurality of monitoring points of the equipment to be detected.

Optionally, the abrasive particle information includes a concentration of abrasive particles, a morphology of the abrasive particles, and a size of the abrasive particles.

Optionally, the data acquisition terminal periodically acquires the oil sample according to a preset sampling period;

the data processing equipment is also used for determining the variation trend of the monitoring parameters of the oil sample according to the monitoring parameters of the oil sample in a plurality of continuous sampling periods.

The invention provides an equipment friction and lubrication online monitoring system based on various monitoring information, which comprises: the system comprises a data acquisition terminal, data storage equipment and data processing equipment. Wherein, data acquisition terminal is used for gathering the oil sample of waiting to examine equipment, detects the oil sample and obtains the monitoring parameter of oil sample, and the monitoring parameter of oil sample includes: the device comprises abrasive particle information, kinematic viscosity, pollution degree and water pollution, wherein the data storage device is used for storing monitoring parameters of an oil sample detected by the data acquisition terminal, and the data processing device is used for determining whether the device to be detected breaks down or not according to the monitoring parameters of the oil sample. Compared with the prior art in which a single monitoring parameter is adopted to determine that the equipment to be detected breaks down, the method and the device for detecting faults of the equipment to be detected adopt various monitoring parameters, so that the monitoring result is more accurate, and further the faults of the equipment can be found in time and hidden dangers are eliminated.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

FIG. 1 is a schematic structural diagram of an online monitoring system for friction and lubrication of equipment based on various monitoring information according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a data acquisition terminal in the on-line monitoring system shown in FIG. 1;

fig. 3 is a schematic structural diagram of a data processing device in the on-line monitoring system shown in fig. 1.

With the above figures, certain embodiments of the invention have been illustrated and described in more detail below. The drawings and the description are not intended to limit the scope of the inventive concept in any way, but rather to illustrate it by those skilled in the art with reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

Fig. 1 is a schematic structural diagram of an online monitoring system for friction and lubrication of equipment based on multiple kinds of monitoring information according to an embodiment of the present invention, as shown in fig. 1, the online monitoring system according to the embodiment includes: the system comprises a data acquisition terminal 1, a data storage device 2 and a data processing device 3.

Wherein, data acquisition terminal 1 for gather the oil sample of waiting to examine equipment, detect this oil sample and obtain the monitoring parameter of this oil sample, the monitoring parameter of this oil sample includes: abrasive grain information, kinematic viscosity, contamination level, and water contamination. And the data storage device 2 is used for storing the monitoring parameters of the oil sample detected by the data acquisition terminal 1. And the data processing equipment 3 is used for determining whether the equipment to be detected fails or not according to the monitoring parameters of the oil sample.

Friction and wear between the parts of the equipment produces abrasive particles that mix in the lubricating oil to form an oil-like pattern. The abrasive grain information includes abrasive grain concentration, abrasive grain morphology, and abrasive grain size. The concentration of the abrasive particles refers to the quantity of the abrasive particles in the oil sample, the appearance of the abrasive particles refers to the shape of the abrasive particles, and the shape of the abrasive particles can be regular or irregular. The severity of the rubbing or wear affects the abrasive grain information, e.g., the abrasive grain concentration increases when the wear is severe. And the abrasive particle information can also be different when different parts of the equipment to be detected are rubbed and abraded, so that the fault of the equipment to be detected can be determined according to the abrasive particle information.

Kinematic viscosity refers to the ratio of the dynamic viscosity of a fluid to the density ρ of the fluid at the same temperature, in units of (m ^2)/s, expressed in lower case letters v. The units used were St(s), and the progressive relationship between St(s) and (m ^2)/s is: 1(m 2)/s 10^4St 10^6 cSt. In the embodiment, the fluid is an oil sample, and the kinematic viscosity of the oil sample can be changed due to friction or abrasion of the device to be detected, so that whether the device is rubbed or abraded can be inferred according to the kinematic viscosity of the oil sample.

The degree of contamination (level of contamination) of the lubricating oil means the degree of "contamination" of the lubricating oil, and the "contamination" means the amount of mechanical impurities in the lubricating oil, that is, the amount of insoluble fine particles in the lubricating oil. The abrasion damage of mechanical impurities with different particle sizes to moving parts is different, and very large particles (also called particles) cannot enter gaps of the moving parts and do not cause great abrasion damage to the moving parts. Although the very small particles enter the gap of the moving part, the particle size of the very small particles is far smaller than the gap of the moving part, so that the very small particles do not cause great abrasion damage to the moving part, and the very small particles are just particles with the particle size slightly smaller than the gap of the moving part and cause great abrasion damage to the moving part.

The entry of water into lubricating oils can cause deterioration in the performance of the lubricating oil, for example, the action of water with metal sulfides and chlorides (from certain additives, such as antiwear additives), and certain oxides in the lubricating oil can produce acids that not only corrode components, but also increase the acid number of the lubricating oil; the water reacts with some additives (such as antioxidant) in the lubricating oil to generate harmful pollutants such as precipitate, colloid and the like, and the deterioration of the lubricating oil is accelerated. Therefore, there is a need to monitor water contamination of oil samples. The water in the lubricating oil is mainly from water vapor in the atmosphere.

Fig. 2 is a schematic structural diagram of a data acquisition terminal in the online monitoring system shown in fig. 1, and as shown in fig. 2, the data acquisition terminal 1 provided in this embodiment includes: the device comprises a monitoring sampling device 11, a circulating power supply device 12, a sensor integration device 13, a wear friction sensor 14, a control device 15 and a power supply device 16.

Wherein, monitoring sampling device 11 is connected with the equipment that awaits measuring for gather the oil appearance. The circulating power supply device 12 is connected with the monitoring and sampling device 11 through an oil pipeline 17, the oil pipeline 17 is used for conveying the oil sample collected by the monitoring and sampling device 11 to the circulating power supply device 12, and the circulating power supply device 12 is used for adjusting the flow and/or pressure of the oil sample. The sensor integration device 13 is connected with the circulating power supply device 12 and is used for detecting the oil sample conveyed by the circulating power supply device 12 to obtain the kinematic viscosity, the pollution degree and the water pollution of the oil sample. The wear friction sensors 14 are respectively connected to the sensor integration device 13, and are configured to detect the oil sample to obtain the abrasive grain information of the oil sample, and send the abrasive grain information to the sensor integration device 13. The leakage acquisition device 15 is used for detecting the sensor integrated device to obtain leakage information of the oil sample. The control device 15 is connected with the circulating power supply device 12 and the sensor integration device 13 and is used for controlling the operation of the circulating power supply device 12 and the sensor integration device 13. The power supply device 16 is used for supplying power to the circulating power supply device 12 and the sensor integration device 13.

The monitoring and sampling device 11 directly samples the oil using part of the equipment to be detected, and the power supply provided by the power supply device 17 is weak current, so that the whole monitoring process adopts weak current to obtain, and the oil sample is not subjected to any destructive detection in the whole monitoring process. The oil sample that monitoring sampling device 11 gathered is the oil sample of a plurality of monitoring points of waiting to examine equipment, through the mode that the multiple spot was gathered, has realized the comprehensive monitoring of diversified multiple spot position in the production process.

The monitoring sampling device 11 conveys the obtained oil sample to the circulating power supply device 12 through the oil conveying pipeline 17, and the circulating power supply device 12 adjusts the flow and the pressure of the oil sample according to a set rule, so that the pressure and the flow of the oil sample conveyed to the sensor integration device 13 meet the detection and analysis requirements. The sensor integration device 13 detects the oil sample to obtain the kinematic viscosity, the pollution degree and the water pollution of the oil sample, the sensor integration device 13 also conveys the oil sample to the abrasion friction sensor 14, and the abrasion friction sensor 14 is used for detecting abrasive particles in the oil sample to obtain abrasive particle information.

The control device 15 may be an embedded (RAM) control device, the control device 15 controls the adjustment of the flow rate and/or the pressure of the oil sample by the circulating power supply device 12 according to a command issued by the data transmission control end, and the command issued by the data transmission control end may include a target flow rate and pressure for the adjustment of the oil sample. The control device 15 can also control the data collected by the sensor integration device 13 according to the instruction issued by the data transmission control terminal.

Optionally, the data acquisition terminal 1 periodically acquires the oil sample according to a preset sampling period, for example, the sampling period is 15 minutes, and the data acquisition terminal 1 acquires the oil sample every 15 minutes. And then analyzing the oil sample to obtain monitoring parameters of the oil sample, wherein the monitoring parameters can be obtained by adopting the existing analysis method or detection method, and the detailed description is not repeated in the embodiment.

The data acquisition terminal 1 is usually arranged on or near the device to be tested, while the data storage device 2 can be arranged at the far end of the device to be tested, the data acquisition terminal 1 being connected and communicating with the data storage device via a data transmission control terminal. The data transmission control end sends a working instruction to the data acquisition terminal 1, the data acquisition terminal 1 is started and starts to acquire an oil sample, and monitoring parameters of the oil sample acquired by the data acquisition terminal are stored in the data storage device 2 through the data transmission control end.

Optionally, the data transmission control end includes: the network switch, the Internet Protocol (IP) control identification part of the interconnection between the terminal networks, the data acquisition terminal operation state control display part. The data acquisition terminal 1 sends the acquired monitoring parameters of the oil sample to the data storage device 2 through a network switch, and the data may pass through a plurality of switches which form a switching network. The terminal IP control identification part is used for identifying each module included in the data acquisition terminal, and the data acquisition terminal running state control display part is used for carrying out corresponding action control on the data acquisition terminal 1 and displaying the working state of the data acquisition terminal 1.

Optionally, the data storage device 2 includes: the data acquisition terminal comprises a firewall, a server and a database, wherein data sent by the data acquisition terminal 1 is stored in the database through the firewall, and the database is installed on the server. Optionally, the database may adopt an SQL server2008 enterprise version, and of course, the database may also adopt other versions or forms of databases, which is not limited in this embodiment.

The firewall is a software or hardware between the computer and the network connected with it, and all the network communication and data packets flowing in and out from the computer pass through the firewall, which is an image saying for a method of obtaining security, it is a combination of computer hardware and software, and a security gateway (security gateway) is established between Internet and Intranet, thus protecting the Intranet from the invasion of illegal users. In this embodiment, the firewall is disposed in the data storage device 2, so that the security of the monitoring parameters of the oil sample can be protected.

And the data processing equipment 3 is used for reading the monitoring parameters of the oil sample from the data storage equipment 2, analyzing the monitoring parameters of the oil sample and determining whether the equipment to be detected breaks down. In this embodiment, the monitoring parameters of the oil sample at least include at least two of the following parameters: abrasive particle information, kinematic viscosity, pollution degree and water pollution, data processing equipment 3 confirms through combining two kinds at least monitoring parameters of oil appearance whether to detect the equipment trouble for the monitoring result is more accurate, and then can in time discover the trouble of equipment and eliminate the hidden danger.

Optionally, the online monitoring system further includes a fault processing device 4, where the fault processing device 4 is configured to output alarm information when the data processing device 3 determines that the device to be detected fails, where the alarm information is used to notify that the device to be detected fails. The alert information may include one or more of an audible alert signal, a light alert signal, a voice prompt, a text prompt, and a linkage action command. The text prompt information can be displayed through the display screen of the fault processing equipment 4, and can prompt which part of the equipment to be detected has a fault, the type of the fault and the like. While displaying the text prompt, the fault handling device 4 may issue an audible or visual alarm signal to timely notify the staff to respond to the fault. The fault processing device 4 can time after sending out the sound and light alarm signal, and if the staff does not respond in a certain time, the fault processing device sends a linkage action instruction, for example, the fault processing device 4 sends a shutdown instruction to the data acquisition terminal 1, and the data acquisition terminal 1 stops according to the shutdown instruction, and cuts off the acquisition of an oil sample of the device to be detected.

Alternatively, the data processing device 3 and the fault handling device 4 may be integrated on one physical device, for example, implemented using a general-purpose computer having the functions of both the data processing device 3 and the fault handling device 4. Of course, the data processing device 3 and the fault handling device 4 may also be separate devices.

In this embodiment, the oil sample of equipment of awaiting measuring is gathered to the data acquisition terminal, detects the monitoring parameter that the oil sample obtained the oil sample, and the monitoring parameter of oil sample includes two kinds at least in the following parameter: the device comprises abrasive particle information, kinematic viscosity, pollution degree and water pollution, wherein the data storage device stores monitoring parameters of an oil sample detected by a data acquisition terminal, and the data processing device is used for determining whether the device to be detected breaks down or not according to the monitoring parameters of the oil sample. Compared with the prior art in which a single monitoring parameter is adopted to determine that the equipment to be detected breaks down, the method and the device for detecting faults of the equipment to be detected adopt various monitoring parameters, so that the monitoring result is more accurate, and further the faults of the equipment can be found in time and hidden dangers are eliminated.

On the basis of the first embodiment, in the monitoring system provided in the second embodiment of the present invention, the data acquisition terminal 1 further includes: a leakage collection device 18 and an accident status switching device 19. Wherein, reveal the gathering unit 18 and is used for gathering the information of revealing of the oil sample in the data acquisition terminal 1, the information of revealing of this oil sample can include the flow and the pressure of the oil sample, when the lubricating oil in the data acquisition terminal 1 takes place to reveal, the flow and the pressure of this oil sample can reduce suddenly, therefore, can confirm whether the oil leakage phenomenon takes place in the data acquisition terminal 1 according to the change of the flow and the pressure of the oil sample. The leakage collection device 18 can collect the flow rate and pressure of the lubricating oil in the oil delivery pipe 17, and can also collect the flow rate and pressure of the lubricating oil in the sensor integration device 13 and the wear friction sensor 14.

Illustratively, leak detection assembly 18 includes:

the inlet flow sensor is used for collecting the inlet flow of the oil sample;

the outlet flow sensor is used for collecting the outlet flow of the oil sample;

the calculation module is used for calculating the flow difference value of the outlet and the inlet of the oil sample according to the inlet flow and the outlet flow of the oil sample, and driving the liquid level sensor and the pressure sensor when the flow difference value is larger than a preset difference value;

the liquid level sensor is used for collecting the liquid level of the oil sample;

the pressure sensor is used for collecting the pressure of the oil sample;

the calculation module is further used for acquiring the leakage information according to the liquid level acquired by the liquid level sensor and the pressure acquired by the pressure sensor.

The accident state switching device 19 is respectively connected with the leakage collecting device 18, the power supply device 16 and the oil pipeline 17, and is used for judging whether an oil leakage accident occurs in the data collecting terminal 1 according to leakage information collected by the leakage collecting device 18, and disconnecting the power supply device 16 and the oil pipeline 17 when the oil leakage accident occurs in the data collecting terminal 1.

Optionally, the accident state switching device 19 may determine whether the oil leakage accident occurs in the data acquisition terminal 1 by: in one mode, the accident state switching device 19 determines whether the flow rate of the oil sample collected in the current detection period is smaller than a preset first threshold, and/or whether the pressure of the oil sample in the current detection period is smaller than a preset second threshold, where the first threshold is a flow threshold and the second threshold is a pressure threshold. And when the flow of the oil sample in the current detection period is smaller than a first threshold value and/or the pressure of the oil sample in the current detection period is smaller than a second threshold value, determining that an oil leakage accident occurs in the data acquisition terminal 1.

In another mode, the accident state switching device 19 determines whether the flow rate of the oil sample in the current detection period is smaller than the flow rate of the oil sample in the previous detection period, and/or whether the pressure of the oil sample in the current detection period is smaller than the pressure of the oil sample in the previous detection period. And when the flow of the oil sample in the current detection period is smaller than the flow of the oil sample in the previous detection period, and/or the pressure of the oil sample in the current detection period is smaller than the pressure of the oil sample in the previous detection period, determining that an oil leakage accident occurs in the data acquisition terminal 1.

The leakage information of the oil sample in the data acquisition terminal 1 is acquired through the leakage acquisition device 18, and whether the oil leakage accident happens to the data acquisition terminal 1 is judged according to the leakage information, so that the practicability and the reliability of the oil leakage detection method can be better ensured.

On the basis of the first embodiment and the second embodiment, a third embodiment of the present invention provides a data processing device, fig. 3 is a schematic structural diagram of the data processing device in the online monitoring system shown in fig. 1, and as shown in fig. 3, the data processing device 2 provided in this embodiment includes: an abnormal data identification module 21, a data operation module 22 and an early warning judgment module 23.

The abnormal data identification module 21 is configured to identify abnormal data in the monitoring parameters of the oil sample. The data operation module 22 is configured to calculate a parameter to be compared corresponding to the monitoring parameter according to normal data in the monitoring parameter of the oil sample, where the normal data is data other than the abnormal data. The early warning judgment module 23 is configured to respectively judge whether the parameter to be compared corresponding to each monitoring parameter belongs to a normal range of the pre-acquired monitoring parameter, and when the parameter to be compared corresponding to any monitoring parameter does not belong to the normal range of the monitoring parameter, determine that the device to be detected fails.

The abnormal data may be data that is significantly larger or smaller than other values, taking kinematic viscosity as an example, kinematic viscosity generally has a range, and kinematic viscosity acquired in the current detection period has a plurality of values, where a certain value is far larger than other values and exceeds the normal range of kinematic viscosity, then the abnormal data identification module 21 identifies the data as abnormal data, and deletes the abnormal data. The abnormal data identification module 21 avoids erroneous judgment identification caused by data abnormality by identifying and screening abnormal data stored in the data storage device 2.

The monitoring parameters collected by the sensor integration module 13 and the wear friction sensor 14 generally need to be calculated, and the data operation module 22 is configured to perform operation on normal data in the monitoring parameters of the oil sample to obtain parameters to be compared corresponding to the monitoring parameters, where the operation may include addition, subtraction, multiplication, and division of four arithmetic operations, square and logarithm, and the like. For example, the kinematic viscosity acquired in the current detection period is averaged to obtain the parameter to be compared of the kinematic viscosity, or the variance or standard deviation of the kinematic viscosity acquired in the current detection period is calculated, and the variance or standard deviation of the kinematic viscosity is used as the parameter to be compared of the kinematic viscosity. The operation operations for different monitoring parameters may be different, and the operation operations may be changed according to actual needs, which is not limited in this embodiment.

The early warning judgment module 23 is configured to respectively judge whether the parameter to be compared corresponding to each monitoring parameter belongs to a normal range of the pre-acquired monitoring parameter. Optionally, the normal range of the monitoring parameter includes a double critical value: the upper limit and the lower limit of the monitoring parameters and the average value range of the monitoring parameters. In one implementation, the upper limit, the lower limit, and the average value range of the monitoring parameter are set by a user, and when the monitoring parameter does not satisfy at least one of the two critical values, it is determined that the device to be detected fails.

Optionally, the data processing device 2 further comprises a self-learning module 24. The self-learning module 24 is used for determining the normal range of the monitoring parameters of the equipment to be detected during normal work according to the monitoring parameters of the oil samples collected in a plurality of detection periods.

Optionally, the data processing device 2 is further configured to determine a variation trend of the monitoring parameter of the oil sample according to the monitoring parameter of the oil sample in a plurality of continuous sampling periods. Since the oil sample has a plurality of monitoring parameters, the data processing device 2 can determine the variation trend of each monitoring parameter individually and display the variation of the monitoring parameters to the user in the form of an icon or a curve. The data processing device 2 can independently display the variation trend curves of the plurality of monitoring parameters, and can also display the variation trend curves of the plurality of monitoring parameters in one page, so that a user can compare the variation trends of the monitoring parameters conveniently.

It should be noted that in this embodiment, the abnormal data identification module 21, the data operation module 22, the early warning judgment module 23 and the self-learning module 24 may be implemented by independent hardware, or may be implemented by a processor having a data Processing function, where the processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), a general-purpose processor, or the like.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.