Device maintenance method and device, electronic device, and storage medium

Abstract

The application discloses a device maintenance method and device, electronic equipment and storage medium. The method comprises: obtaining the current value of at least one running parameter of the device and historical failure information; generating a first degradation value based on the current value of at least one running parameter, the first degradation value representing the degradation degree of the device caused by the change of at least one running parameter; generating a second degradation value based on the historical failure information, the second degradation value representing the degradation degree of the device caused by the failure state; generating a third degradation value based on the first degradation value and the second degradation value, the third degradation value representing the overall degradation degree of the device. In this way, the overall degradation degree of the device can be more accurately obtained, and the device can be maintained in time based on the third degradation value, greatly reducing the number of ineffective maintenance, improving the maintenance efficiency of the device, improving the economy of maintenance, and ensuring the stability and safety of the device operation.

Description

Technical Field

[0001] The present application relates to the field of equipment management technology, and in particular to an equipment maintenance method, device, electronic device and storage medium. Background Art

[0002] Currently, equipment maintenance primarily relies on traditional scheduled maintenance, rather than tailoring maintenance to the equipment's specific conditions. In actual production, this maintenance approach fails to extend equipment life or prevent failures. Furthermore, equipment maintenance analysis is incomplete and inaccurate, leading to an increase in unplanned overhauls and ineffective maintenance. This makes equipment maintenance uneconomical, system operations unstable, and poses risks to safe production operations. Summary of the Invention

[0003] In view of this, the embodiments of the present application provide an equipment maintenance method, apparatus, electronic device and storage medium, which can improve the economy of equipment maintenance and ensure the stability and safety of maintenance.

[0004] The technical solution of the embodiment of the present application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a device maintenance method, comprising: obtaining a current value and historical fault information of at least one operating parameter of a device;

[0006] generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value representing a degree of degradation of the device due to a change in the at least one operating parameter;

[0007] generating a second degradation value based on the historical fault information, wherein the second degradation value represents a degree of degradation of the device affected by the fault state;

[0008] A third degradation value is generated based on the first degradation value and the second degradation value, where the third degradation value represents an overall degradation degree of the device.

[0009] In the above solution, there are multiple operating parameters, and generating the first degradation value based on the current value of at least one operating parameter includes:

[0010] For each operating parameter, a degradation sub-value of each operating parameter is calculated based on the corresponding current value, normal value, limit value and first coefficient;

[0011] generating a first degradation value by performing a weighted summation of the degradation sub-values ​​of the respective operating parameters;

[0012] The first coefficient is the degree of influence of each operating parameter on equipment degradation.

[0013] In the above solution, the step of calculating the degradation sub-value of each operating parameter based on the corresponding current value, normal value, limit value, and first coefficient of each operating parameter includes:

[0014] Determining an impact value of each operating parameter based on the current value corresponding to each operating parameter, the normal value and the limit value of the equipment operating parameter, wherein the impact value is the ratio of the difference between the current value and the normal value of the operating parameter;

[0015] Based on the influence value and the first coefficient of each operating parameter, a degradation sub-value of each operating parameter is generated.

[0016] In the above solution, the weighted summation of the degradation sub-values ​​of the operating parameters to generate the first degradation value includes:

[0017] Performing a weighted summation on the degradation sub-values ​​based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of the various operating parameters on the degradation of the equipment component;

[0018] A first degradation value of the device is determined based on the sum of the degradation values ​​of the device components.

[0019] In the above solution, the equipment is a water pump equipment, and the equipment components include: an impeller, a sealing ring and a shaft, and the at least one operating parameter includes: bearing vibration amplitude, bearing temperature, motor speed, current and voltage, and water pump operation time.

[0020] In the above solution, generating the second degradation value based on the historical fault information includes:

[0021] Based on the historical fault information, determining an impact coefficient of each historical fault information on equipment degradation;

[0022] A second degradation value is generated according to each of the influence coefficients.

[0023] In the above solution, the method further includes:

[0024] Determining, based on the third degradation value and a degradation curve representing a degradation trend of the device, an interval in which the third degradation value lies;

[0025] Determining, based on the interval in which the third degradation value is located, corresponding maintenance measures and / or maintenance time within the interval;

[0026] Generating a maintenance plan for the equipment based on the maintenance measures and / or maintenance time;

[0027] The degradation curve is a curve showing how each degradation interval changes over time.

[0028] In a second aspect, an embodiment of the present application provides an equipment maintenance device, the device comprising:

[0029] An acquisition module, configured to acquire a current value of at least one operating parameter of a device and historical fault information;

[0030] a first evaluation module, configured to generate a first degradation value based on a current value of the at least one operating parameter, wherein the first degradation value represents a degree of degradation of the device due to a change in the at least one operating parameter;

[0031] a second evaluation module, configured to generate a second degradation value based on the historical fault information, wherein the second degradation value represents a degree of degradation of the device affected by the fault state;

[0032] The third evaluation module is configured to generate a third degradation value based on the first degradation value and the second degradation value, where the third degradation value represents an overall degradation degree of the device.

[0033] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory for storing a computer program that can be run on the processor, wherein:

[0034] The processor is used to execute the steps of the method described in the first aspect when running a computer program.

[0035] In a fourth aspect, an embodiment of the present application provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0036] The technical solution provided by the embodiments of the present application obtains the current value and historical fault information of at least one operating parameter of a device; generates a first degradation value based on the current value of the at least one operating parameter, the first degradation value representing the degree of degradation of the device due to changes in the at least one operating parameter; generates a second degradation value based on the historical fault information, the second degradation value representing the degree of degradation of the device due to the fault state; and generates a third degradation value based on the first and second degradation values, the third degradation value representing the overall degree of degradation of the device. By obtaining data on at least one operating parameter of the device, the degree of impact of the at least one operating parameter on the device degradation is calculated, while also considering the impact of the device's own historical fault information on the device degradation. By quantitatively assessing the degree of degradation of the device based on these two dimensions, a third degradation value reflecting the overall degree of degradation of the device can be more accurately obtained. This third degradation value can provide a scientific and reasonable quantitative basis for equipment maintenance, thereby enabling timely maintenance of the equipment, significantly reducing the number of ineffective maintenance, improving equipment maintenance efficiency, ensuring the stability and safety of equipment operation, and improving the economic efficiency of maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flowchart of an equipment maintenance method provided in one embodiment of the present application;

[0038] Figure 2 A flowchart for generating a maintenance plan in this application example;

[0039] Figure 3 This is a schematic diagram of the maintenance system architecture of an application example of this application;

[0040] Figure 4 This is a flowchart of an equipment maintenance method in an application example of this application;

[0041] Figure 5 This is a schematic diagram of the intelligent maintenance suggestion in an application example of this application;

[0042] Figure 6 A schematic diagram of the structure of the equipment maintenance device provided in an embodiment of the present application;

[0043] Figure 7 A schematic diagram of the hardware structure of the equipment maintenance device provided in an embodiment of the present application;

[0044] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The present application will be described in further detail below with reference to the accompanying drawings and embodiments.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0047] The present application provides a device maintenance method, which can be applied to electronic equipment with data processing capabilities. Figure 1 , the method mainly includes the following steps:

[0048] Step 110: Obtain the current value and historical fault information of at least one operating parameter of the device.

[0049] Here, the current value of at least one operating parameter of the device may be obtained through a sensor, which includes but is not limited to at least one of the following: a temperature sensor, a pressure sensor, a vibration sensor, a rotation speed sensor, and a multi-function electric meter.

[0050] The operating parameters of the equipment include but are not limited to at least one of the following: vibration amplitude, temperature, pressure, rotation speed, voltage value, current value and operating time of the equipment.

[0051] The equipment referred to here is equipment requiring maintenance, including but not limited to at least one of the following: water pumps, forging equipment, casting equipment, generators, and electric motors. Generally speaking, equipment maintenance is required to maximize utilization and ensure long-term, safe, and stable operation.

[0052] Here, the electronic device can also receive historical fault information of the device, which can be stored locally by the device to be maintained or remotely stored by the server. In this way, the electronic device can receive historical fault information sent by the device to be maintained or access the server to obtain historical fault information of the device to be maintained. The embodiments of the present application do not limit this.

[0053] Step 120: Generate a first degradation value based on the current value of the at least one operating parameter, wherein the first degradation value represents the degree of degradation of the device due to the change of the at least one operating parameter.

[0054] Here, the first degradation value represents the degree of device degradation due to changes in at least one operating parameter. A device operating parameter can characterize a specific aspect of the device's operating status. Generally, a device contains at least one operating parameter. The more device operating parameters acquired, the more comprehensive the device's operating status, and the more accurate the generated first degradation value.

[0055] For example, the operating time of a water pump reflects the load it is currently operating under. Generally speaking, the longer the equipment is operating and the heavier the load, the higher the water pump degradation value. Furthermore, in addition to operating time, water pump operating parameters also include vibration amplitude at the bearing and non-bearing ends of the pump, bearing temperature, motor speed, current and voltage, and operating time. By combining the changes in these operating parameters, we can fully and comprehensively reflect the operating status of the equipment and generate a more accurate degradation value.

[0056] Step 130: Generate a second degradation value based on the historical fault information, where the second degradation value represents the degree of degradation of the device affected by the fault state.

[0057] Here, the device's historical fault information can also reflect the degree of device degradation. Equipment deteriorates continuously during normal use. Each time a fault occurs, the device's performance decreases. While repairs can restore some performance, the degree of degradation continues to increase.

[0058] Here, the historical fault information of the equipment includes but is not limited to at least one of the following: rotor imbalance, cavitation, bearing damage, loose bolts, and excessive power.

[0059] Take water pumps, for example. During actual use, they can experience faults, such as rotor imbalance, bearing damage, and loose bolts. Each time a fault occurs, the performance of the pump declines. The more faults occur, the faster the performance declines, the higher the probability of degradation, and the higher the pump's degradation value. Furthermore, different types of faults can have varying degrees of impact on the pump. Bearing rotation is a critical function of a water pump, and the impact of bearing damage is significantly greater than that of an overpower fault.

[0060] Here, the device's fault type is determined based on its historical fault information. Different fault types correspond to different influence coefficients. For example, if the historical fault information is rotor imbalance, its corresponding influence coefficient is 0.6, reflecting the degree of device degradation affected by this rotor imbalance fault condition. If there is only one fault, this influence coefficient can be used directly as the second degradation value. If there are multiple faults, a second degradation value is generated based on multiple influence coefficients to represent the degree of device degradation affected by multiple fault conditions.

[0061] Step 140: Generate a third degradation value based on the first degradation value and the second degradation value, where the third degradation value represents the overall degradation degree of the device.

[0062] Here, the actual operating state of the device can be divided into a faulty state and a normal operating state. The degradation value in the normal operating state is the first degradation value, and the degradation value in the faulty state is the second degradation value. The third degradation value combines the first and second degradation values ​​to reflect the overall degradation level of the device.

[0063] For example, if the first degradation value is L 总 , the second degradation value is H 总 , L 总 and H 总 A third degradation value can be generated by weighted summation, and the third degradation value represents the overall degradation degree of the device. The weighting coefficient a of the first degradation value and the weighting coefficient b of the second degradation value can be set by experience. Therefore, the third degradation value is:

[0064] W 总 =aL 总 +bH 总

[0065] Among them, W 总 is the third degradation value, the first degradation value is L 总 , the second degradation value is H 总 , a is the weighting coefficient corresponding to the first degradation value, and b is the weighting coefficient corresponding to the second degradation value.

[0066] In this way, by acquiring data on at least one operating parameter of the equipment and calculating the degree of its impact on equipment degradation, while also considering the impact of the equipment's own historical fault information on equipment degradation, a quantitative assessment of the equipment's degradation degree based on these two dimensions can more accurately obtain a third degradation value that reflects the overall degree of equipment degradation. This third degradation value provides a scientific and reasonable quantitative basis for equipment maintenance, allowing for timely equipment maintenance, significantly reducing the number of ineffective maintenance visits, improving equipment maintenance efficiency, ensuring the stability and safety of equipment operation, and improving the economic efficiency of maintenance.

[0067] In some embodiments, there are multiple operating parameters, and generating the first degradation value based on the current value of at least one operating parameter includes:

[0068] For each operating parameter, a degradation sub-value of each operating parameter is calculated based on the corresponding current value, normal value, limit value and first coefficient;

[0069] generating a first degradation value by performing a weighted summation of the degradation sub-values ​​of the respective operating parameters;

[0070] The first coefficient is the degree of influence of each operating parameter on equipment degradation.

[0071] Here, the number of operating parameters is multiple. The normal value of the operating parameter is the value under the normal operating state of the equipment. The limit value of the operating parameter is the value when the operating parameter operates to the limit operating parameter normal operation. The first coefficient is a constant that reflects the degree of influence of each operating parameter on equipment degradation.

[0072] For example, if the number of operating parameters is i, i is an integer greater than 1, the current value corresponding to the i-th operating parameter is C i , the normal value is A i , the limit value is B i , the first coefficient is K i , the degradation sub-value is L i , the first degradation value is L 总 Based on the C corresponding to the i-th operating parameter i , A i , B i and K i Generate degradation sub-value L i , the degradation sub-value is the impact of the i-th operating parameter on the equipment degradation. 总 is the L corresponding to the i operating parameters i Perform weighted sum generation.

[0073] In some embodiments, the calculating of the degradation sub-value of each operating parameter based on the corresponding current value, normal value, limit value, and first coefficient of each operating parameter includes:

[0074] Determining an impact value of each operating parameter based on the current value corresponding to each operating parameter, the normal value and the limit value of the equipment operating parameter, wherein the impact value is the ratio of the difference between the current value and the normal value of the operating parameter;

[0075] Based on the influence value and the first coefficient of each operating parameter, a degradation sub-value of each operating parameter is generated.

[0076] From this we can see that the impact value of the i-th operating parameter is:

[0077]

[0078] Among them, E i is the impact value of the i-th operating parameter, C i is the current value of the i-th operating parameter, A i is the normal value of the i-th operating parameter, B i The limit value of the i-th operating parameter, where i is the number of operating parameters.

[0079] The i-th operating parameter degradation sub-value is:

[0080]

[0081] Among them, L i is the degradation sub-value of the i-th operating parameter, E i is the influence value of the i-th operating parameter, K i is a first coefficient, which is determined by operating parameters.

[0082] In the embodiment of the present application, the weighted summation of the degradation sub-values ​​of the respective operating parameters to generate the first degradation value includes:

[0083] Performing a weighted summation on the degradation sub-values ​​based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of the various operating parameters on the degradation of the equipment component;

[0084] A first degradation value of the device is determined based on the sum of the degradation values ​​of the device components.

[0085] From this, we can see that the degradation value of the jth equipment component is:

[0086]

[0087] Among them, D j is the degradation value of the jth device component, Li is the degradation sub-value of the i-th operating parameter, T i,j is the second coefficient, j is the number of equipment components, and i is the number of operating parameters. The second coefficient is determined by the equipment components and reflects the degree of influence of the operating parameters on the degradation of the equipment components. The same operating parameter has different degrees of influence on the degradation of different equipment components.

[0088] From this we can see that the first degradation value of the equipment is:

[0089]

[0090] Among them, L 总 is the first degradation value, which represents the degree of degradation of the equipment due to the change of at least one operating parameter, D j is the degradation value of the jth device component, and j is the number of device components.

[0091] In some embodiments, the device is a water pump device, and the device components include: an impeller, a sealing ring and a shaft, and the at least one operating parameter includes: bearing vibration amplitude, bearing temperature, motor speed, current and voltage, and water pump operation time.

[0092] In some embodiments, generating a second degradation value based on the historical fault information includes:

[0093] Based on the historical fault information, determining an impact coefficient of each historical fault information on equipment degradation;

[0094] A second degradation value is generated according to each of the influence coefficients.

[0095] For example, if the second degradation value is H 总 , the influence coefficient is the second degradation value is Z i , i is the number of historical faults. When the number of historical faults is 1, the second degradation value is:

[0096] H 总 =Z1

[0097] When there are multiple historical fault types, the second degradation value is:

[0098]

[0099] In the embodiments of this application, Figure 2 As shown, after obtaining the third degradation value, the method further includes:

[0100] Step 210: Based on the third degradation value and a degradation curve representing a degradation trend of the device, determine the interval in which the third degradation value is located.

[0101] Here, after determining the overall degradation value of the device, the degradation curve that represents the device's degradation trend can be used to determine the device's range on the degradation curve. The degradation curve is a graph that shows the changes in each degradation interval over time. The device's degradation interval is divided based on the device's degradation value. For example, the device's degradation interval can be divided into four intervals: degradation value less than 0.4, degradation value greater than or equal to 0.4 and less than 0.8, degradation value greater than or equal to 0.8 and less than 1, and degradation value greater than or equal to 1.

[0102] When managing equipment degradation trends, a degradation curve is necessary. The horizontal axis of the degradation curve represents time, and the vertical axis represents the measured degradation value of the equipment. Connecting these points to form a curve creates the equipment degradation curve. The degradation curve has degradation limits. Within these limits, normal operation is not affected. However, if the degradation exceeds these limits, a failure will occur. Each device has a different degradation curve.

[0103] Step 220: Based on the interval in which the third degradation value is located, determine the corresponding maintenance measures and / or maintenance time within the interval.

[0104] Here, after determining the interval in which the third degradation value is located, the maintenance measures within the interval may be determined based on the maintenance measures corresponding to the degradation intervals that are set in advance.

[0105] Here, after determining the interval in which the third degradation value is located, the time when the degradation limit value of the interval is reached can be predicted based on the third degradation value. This time is the next maintenance time of the equipment.

[0106] Step 230: Generate a maintenance plan for the equipment based on the maintenance measures and / or maintenance time; wherein the degradation curve is a curve showing how each degradation interval changes over time.

[0107] Based on the third degradation value and a degradation curve representing the equipment degradation trend, the interval within which the third degradation value falls is determined. Based on the interval within which the third degradation value falls, the corresponding maintenance measures and / or maintenance time are determined. Based on the maintenance measures and / or maintenance time, a maintenance plan for the equipment is generated. The degradation curve plots the time-varying changes of each degradation interval. This allows accurate prediction of equipment maintenance time based on the precise overall degradation level of the equipment, selection of appropriate maintenance measures for different degradation levels, and generation of a customized maintenance plan for the equipment. This system enables predictive and proactive maintenance based on equipment degradation, extending equipment life and preventing failures. This improves equipment management efficiency and the cost-effectiveness of maintenance.

[0108] Below, the embodiments of the present application are described in further detail with reference to application examples.

[0109] This application example is targeted at water pump equipment and is used to implement maintenance and management of the water pump equipment.

[0110] Equipment degradation occurs when equipment's original functions decrease or even disappear over time, as well as when its technical, operational, and economic performance decline. Equipment degradation includes both natural degradation and operational degradation. Natural degradation refers to equipment degradation caused by natural forces. Examples include rusting of machinery, corrosion of metals, and aging of plastic and rubber products, which are mostly caused by natural forces. Operational degradation refers to damage, corrosion, fatigue, and shedding of equipment caused by external forces such as collision, friction, and erosion from media during use.

[0111] Deterioration analysis of water pumps is largely absent in the industry. Maintenance is typically performed after a failure has occurred. Water pump maintenance relies primarily on traditional scheduled maintenance, rather than predictive and proactive maintenance tailored to equipment degradation. This leads to insufficiently focused maintenance and a high incidence of ineffective maintenance. Maintenance fails to extend equipment life or prevent failures, resulting in uneconomical maintenance and unstable system operation. Equipment maintenance is reactive, with no ability to predict or eliminate potential hazards. This increases the frequency of unplanned maintenance on water pump equipment, posing risks to safe production operations.

[0112] In some embodiments, the maintenance system architecture of the water pump equipment is as follows: Figure 3 As shown in the figure, the system architecture includes water pump equipment, sensors, business logic, and a degradation analysis and intelligent maintenance reminder device. The water pump and sensors include water pump equipment, vibration sensors, temperature sensors, pressure sensors, speed sensors, and a multi-function electricity meter. The water pump equipment includes various types of water pumps used in industrial production. The vibration sensor is a vibration sensor specifically for rotating machinery. The speed sensor monitors motor speed and water temperature. The multi-function electricity meter monitors water pump load, current, and voltage. The business logic includes degradation analysis algorithms, equipment component status analysis, maintenance strategies, intelligent reminders, and external communications. The degradation analysis and intelligent maintenance reminder device includes a processor, I / O unit, communication module, peripheral circuits, and a display.

[0113] like Figure 4 As shown in the figure, the maintenance and management methods of water pump equipment include:

[0114] Step 410: The sensor obtains the operating parameters of the system-related equipment;

[0115] Pump operating parameters include bearing vibration amplitude, bearing temperature, motor speed, current and voltage, and pump operating time. Taking vibration amplitude as an example, key features that characterize pump failures can be identified by collecting vibration signals and performing time-frequency analysis of the amplitude or signals. This analysis can also be combined with machine learning and deep learning algorithms.

[0116] Step 420: Analyze the operating status of each component of the water pump based on the water pump operating parameters, and comprehensively evaluate the degree of deterioration of the water pump equipment.

[0117] The operating status of each component of the water pump is analyzed according to the operating parameters of the water pump, and the degree of degradation of the water pump equipment is comprehensively evaluated, that is, a first degradation value is generated according to the current value of the operating parameter data obtained by the sensor. The first degradation value represents the degree of degradation of the equipment due to the change of the at least one operating parameter.

[0118] Specifically, generating a first degradation value based on a current value of at least one operating parameter includes:

[0119] For each operating parameter, a degradation sub-value of each operating parameter is calculated based on the corresponding current value, normal value, limit value and first coefficient;

[0120] generating a first degradation value by performing a weighted summation of degradation sub-values ​​of each operating parameter;

[0121] The first coefficient is the degree of influence of each operating parameter on equipment degradation.

[0122] For example, if the number of operating parameters of the water pump is i, the current value corresponding to the i-th operating parameter is C i , the normal value is A i , the limit value is B i , the first coefficient is K i , the degradation sub-value is L i , the first degradation value is L 总 Based on the C corresponding to the i-th operating parameter i , A i , B i and K i Generate degradation sub-value L i , the degradation sub-value is the impact of the i-th operating parameter on the equipment degradation. 总 is the L corresponding to the i operating parameters i Perform weighted sum generation.

[0123] The above calculation of the degradation sub-value of each operating parameter based on the corresponding current value, normal value, limit value and first coefficient of each operating parameter includes:

[0124] Determine an impact value of each operating parameter based on the current value of each operating parameter, the normal value and the limit value of the equipment operating parameter, where the impact value is the ratio of the difference between the current value and the normal value of the operating parameter;

[0125] Based on the influence value and the first coefficient of each operating parameter, a degradation sub-value of each operating parameter is generated.

[0126] When the number of operating parameters i is 1, for example, for the operating parameter of bearing temperature, the impact value of the bearing temperature of the water pump equipment is:

[0127]

[0128] Among them, E1 is the impact value of the bearing temperature, C1 is the current value of the bearing temperature, A1 is the normal value of the bearing temperature, and B1 is the limit value of the bearing temperature.

[0129] Therefore, the calculation formula for the degradation sub-value of the bearing temperature of the water pump equipment is:

[0130]

[0131] L1 is the degradation sub-value of the bearing temperature of the water pump equipment, C1 is the current value of the bearing temperature, A1 is the normal value of the bearing temperature, B1 is the limit value of the bearing temperature, K1 is the first coefficient, and the first coefficient is a constant.

[0132] It is known from experience that the first coefficient K1 of the bearing temperature can be set to 0.5.

[0133] The first degradation value is generated by weighted summing of the degradation sub-values ​​of each operating parameter, including:

[0134] Performing a weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of each operating parameter on the degradation of the equipment component;

[0135] A first degradation value of the device is determined based on the sum of degradation values ​​of the device components.

[0136] The components of the water pump include but are not limited to at least one of the following: impeller, pump body, pump shaft, bearings, sealing box and stuffing box, etc., which mainly include impeller, sealing ring and shaft.

[0137] For example, if the operating parameter of a water pump is the bearing temperature and the components of the water pump are the impeller, seal ring, and shaft, then i = 1, j = 3, and the degradation value of the impeller component is:

[0138] D1=T 1,1 ×L1

[0139] The deterioration value of the sealing ring assembly is:

[0140] D2=T 1,2 ×L1

[0141] The degradation values ​​of the shaft assembly are:

[0142] D3=T 1,3 ×L1

[0143] Among them, D1, D2 and D3 are the degradation values ​​of the impeller assembly, the seal ring assembly and the shaft assembly respectively, L1 is the degradation sub-value of the bearing temperature, T 1,1 、T 1,2 and T 1,3 is the second coefficient, which reflects the influence of bearing temperature on the degradation of impeller assembly, seal ring assembly and shaft assembly respectively.

[0144] The first degradation value is:

[0145] L 总 =D1+D2+D3

[0146] That is, the first degradation value is:

[0147] L 总 =T 1,1 ×L1+T 1,2 ×L1+T 1,3 ×L1

[0148] Among them, L 总 is the first degradation value, which represents the degradation degree of the water pump equipment due to the change of bearing temperature. L1 is the degradation value of bearing temperature, T 1,1 、T 1,2 and T 1,3 is the second coefficient, which respectively reflects the influence of bearing temperature on the degradation of impeller assembly, the influence of bearing temperature on the degradation of sealing ring assembly and the influence of bearing temperature on shaft degradation.

[0149] For example, the second coefficient can be set based on experience. The second coefficient of the water pump equipment includes a correlation coefficient and an expert coefficient.

[0150] The correlation coefficient is the correlation value of the impact of various equipment operating parameters on degradation. Generally speaking, the maximum is 1 and the minimum is 0.

[0151] The expert coefficient is the expert's evaluation value of the impact of various equipment operating parameters on degradation, with a maximum of 1 and a minimum of 0.

[0152] When there are multiple operating parameters of the water pump, i is an integer greater than 1. The impact value of the i-th water pump operating parameter is:

[0153]

[0154] Among them, E iis the influence value of the operating parameters of the i-th water pump, C i is the current value of the operating parameters of the i-th water pump, A i is the normal value of the operating parameters of the ith water pump, B i The limit value of the i-th water pump operating parameter, where i is the number of water pump operating parameters.

[0155] The degradation sub-value of the i-th pump operating parameter is:

[0156]

[0157] L i is the degradation sub-value of the operating parameter of the ith water pump, C i is the current value of the operating parameters of the i-th water pump, A i is the normal value of the operating parameters of the ith water pump, B i The limit value of the operating parameter of the i-th pump. K i is a first coefficient, which is determined by operating parameters.

[0158] For example, the value of the first coefficient is shown in Table 1 below:

[0159] Table 1

[0160] Serial number Parameter name Impact 1 Bearing vibration 0.8 2 Bearing temperature 0.5 3 Inlet and outlet pressure 0.3

[0161] The first degradation value is generated by weighted summing of the degradation sub-values ​​of each operating parameter, including:

[0162] Performing a weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of each operating parameter on the degradation of the equipment component;

[0163] A first degradation value of the device is determined based on the sum of degradation values ​​of the device components.

[0164] For example, the operating parameters of the equipment include bearing vibration and bearing temperature, and the components of the water pump equipment include: impeller, seal ring and shaft. In this case, i = 2, j = 3. It can be seen that the degradation values ​​of the equipment components are:

[0165] Degradation value of impeller assembly:

[0166] D1=T 1,1 ×L1+T 2,1 ×L2

[0167] The deterioration value of the sealing ring assembly is:

[0168] D2=T 1,2 ×L1+T 2,2 ×L2

[0169] The degradation values ​​of the shaft assembly are:

[0170] D3=T 1,3 ×L1+T 2,3 ×L2

[0171] Therefore, the first degradation value of the equipment is:

[0172] L 总 =D1+D2+D3

[0173] That is, the first degradation value is:

[0174] L 总 =T 1,1 ×L1+T 2,1 ×L2+T 1,2 ×L1+T 2,2 ×L2+T 1,3 ×L1+T 2,3 ×L2

[0175] Among them, L 总 is the first degradation value, which represents the degradation degree of the water pump equipment due to the change of bearing vibration, L1 is the degradation sub-value of bearing vibration, and L2 is the degradation sub-value of bearing temperature. 1,1 Reflects the impact of bearing vibration on impeller degradation, T 2,1 The effect of bearing temperature on impeller degradation, T 1,2 Reflects the influence of bearing vibration on the deterioration of the sealing ring, T 2,2 Reflects the effect of bearing temperature on the deterioration of the sealing ring, T 1,3 Reflects the impact of bearing vibration on shaft degradation, T 2,3 Reflects the impact of bearing temperature on shaft degradation. The second coefficient includes the correlation coefficient and the expert evaluation coefficient.

[0176] The correlation coefficient is represented by α: the correlation value of the operating parameters of the pump equipment for the impact of degradation, the maximum is 1 and the minimum is 0.

[0177] β is used to represent the expert evaluation coefficient: the expert's evaluation value of the impact of the operating parameters of the water pump equipment on degradation, with a maximum of 1 and a minimum of 0.

[0178] Exemplarily, the calculation formula of the first degradation value is:

[0179] l 总 =α1×β1×L1+α2×β2×L2+α3×β3×L1+α4×β4×L2+α5×β5×L2+α6×β6×L2

[0180] Step 430: Analyze historical faults of the equipment and determine the degree of impact of the faults on the equipment degradation trend based on different types of faults. Different faults have different impact coefficients, and the degree of degradation is comprehensively evaluated based on the impact coefficients.

[0181] Analyze historical faults of the device and determine the degree of impact of the faults on the degradation trend of the device according to different types of faults, that is, generate a second degradation value based on the historical fault information, wherein the second degradation value represents the degree of degradation of the device affected by the fault state.

[0182] For example, different types of equipment failures have different impact coefficients, which can be set through experience. The impact coefficients of equipment can be learned through machine autonomous experience.

[0183] If the second degradation value of the water pump is H 总 , the water pump influence coefficient is Z i , i is the number of historical faults of the water pump. When the number of historical faults of the water pump is 1 and the fault type is motor abnormality, the water pump impact coefficient is:

[0184] Z1=0.5

[0185] The second degradation value of the water pump is:

[0186] H 总 =0.5

[0187] The failure types and impact coefficients of water pump equipment are shown in Table 2 below:

[0188] Table 2

[0189] Serial number Fault type Influence coefficient 1 Rotor imbalance 0.6 2 Misalignment 0.5 3 Cavitation 0.4 4 Bearing damage 0.8 5 Loose bolts 0.6 6 Pin wear 0.3 7 Impeller damage 0.7 8 Too high power 0.3 9 Bearing overheating 0.4 10 Motor abnormality 0.5 11 Coupling wear 0.5 12 Imperfect foundation 0.5

[0190] When there are multiple historical fault information of the water pump equipment, which are rotor imbalance, misalignment and motor abnormality, the influence coefficient of rotor imbalance Z1 = 0.6, the influence coefficient of misalignment Z2 = 0.5, the influence coefficient of motor abnormality Z3 = 0.5, and the second degradation value is 1.6:

[0191] H 总 =0.6+0.5+0.5

[0192] Step 440: The degradation degree values ​​calculated from the above two dimensions are weighted and summed to obtain the degradation degree value of the water pump equipment.

[0193] The degradation degree values ​​calculated from the above two dimensions are weighted and summed to obtain the degradation degree value of the water pump equipment, that is, a third degradation value is generated based on the first degradation value and the second degradation value, and the third degradation value represents the overall degradation degree of the equipment.

[0194] The weight coefficients of the weighted summation here can be set based on experience. For example, the weight coefficient of the degradation value of the water pump equipment can be set to 0.8, and the weight coefficients of the degradation values ​​corresponding to different types of faults can be set to 0.2. At this time, the degradation degree values ​​of the water pump equipment in the two dimensions, that is, the third degradation value, are:

[0195] W 总 =0.8L 总 +0.2H 总

[0196] Among them, W 总 is the third degradation value, the first degradation value is L 总 , the second degradation value is H 总 , 0.8 is the weight coefficient corresponding to the first degradation value, and 0.2 is the weight coefficient corresponding to the second degradation value.

[0197] In some embodiments, when the degradation degree values ​​of the water pump equipment in two dimensions are greater than 1, the value is taken as 1.

[0198] Step 450: Predict the time when the equipment reaches the degradation limit by fitting a degradation curve over time. Use the least squares method of a linear function or quadratic polynomial to fit the curve and estimate the time required for maintenance and downtime repairs.

[0199] The curve of the degree of degradation changing over time includes the trend of each degradation interval changing over time. To fit the changing curve, the least squares method of a linear function or a quadratic function polynomial can be used for curve fitting. Determine the degradation interval corresponding to the degradation value of the water pump equipment and predict the time when the degradation limit value is reached. For example, the degradation interval of the equipment can be divided into four intervals in turn, namely, degradation value less than 0.4, degradation value greater than or equal to 0.4 and less than 0.8, degradation value greater than or equal to 0.8 and less than 1, and degradation value greater than or equal to 1. If the degradation value of the water pump equipment is 0.6, the degradation interval of the water pump equipment is determined to be greater than or equal to 0.4 and less than 0.8, and the time when the water pump equipment reaches the degradation limit value of 0.8 is predicted. This moment is also the time when the equipment needs maintenance.

[0200] In some embodiments, for example, Figure 5 As shown, intelligent maintenance suggestions for water pump equipment can be pre-set. According to the deterioration level of the water pump, the water pump equipment is reminded to take corresponding maintenance measures. Maintenance measures include:

[0201] 1) Daily maintenance: Maintenance actions within the daily standard plan, such as refueling and replacing sealing rings, are determined based on the operating time to determine the time for refueling and replacing sealing rings.

[0202] 2) Minor repair: If the deterioration degree value is greater than or equal to 0.4 and less than 0.8, perform minor repair.

[0203] 3) Overhaul: When the deterioration degree value is greater than or equal to 0.8 and less than 1, a reminder to shut down for overhaul is issued.

[0204] 4) Scrap: When the deterioration degree value is greater than or equal to 1, a scrap reminder will be issued.

[0205] In this way, by obtaining data on at least one operating parameter of the water pump equipment, the degree of influence of at least one operating parameter of the equipment on the equipment degradation is calculated, while also considering the influence of the equipment's own historical fault information on the equipment degradation. Based on the above two dimensions, a quantitative assessment of the degree of degradation of the water pump equipment can more accurately obtain the degradation value and degradation status of the equipment. Based on the precise degree of equipment degradation, the least squares method of linear functions or quadratic function polynomials is used to perform curve fitting, and the time required for maintenance and downtime repairs is estimated. A dedicated maintenance plan for the equipment is generated, which can achieve predictive maintenance and proactive maintenance based on the equipment degradation situation, extend the service life of the equipment, and prevent failures. This improves the management efficiency of the equipment and the economic efficiency of maintenance.

[0206] Based on the same inventive concept as the equipment maintenance method provided in the above embodiment, the embodiment of the present application also provides an equipment maintenance device, such as Figure 6 As shown, the equipment maintenance device includes: an acquisition module 610 , a first evaluation module 620 , a second evaluation module 630 , and a third evaluation module 640 .

[0207] The acquisition module 610 is used to obtain the current value and historical fault information of at least one operating parameter of the device;

[0208] The first evaluation module 620 is configured to generate a first degradation value based on a current value of the at least one operating parameter, wherein the first degradation value represents a degree of degradation of the device due to a change in the at least one operating parameter;

[0209] The second evaluation module 630 is configured to generate a second degradation value based on the historical fault information, where the second degradation value represents the degree of degradation of the device affected by the fault state;

[0210] The third evaluation module 640 is configured to generate a third degradation value based on the first degradation value and the second degradation value, where the third degradation value represents an overall degradation degree of the device.

[0211] In some embodiments, the first evaluation module 620 is specifically configured to:

[0212] For each operating parameter, a degradation sub-value of each operating parameter is calculated based on the corresponding current value, normal value, limit value and first coefficient;

[0213] generating a first degradation value by performing a weighted summation of degradation sub-values ​​of each operating parameter;

[0214] The first coefficient is the degree of influence of each operating parameter on equipment degradation.

[0215] In some embodiments, the first evaluation module 620 is further configured to:

[0216] Determining an impact value of each operating parameter based on a current value corresponding to each operating parameter, a normal value, and a limit value of the operating parameter of the device, wherein the impact value is a ratio of a difference between the current value and the normal value of the operating parameter;

[0217] Based on the influence value and the first coefficient of each operating parameter, a degradation sub-value of each operating parameter is generated.

[0218] In some embodiments, the first evaluation module 620 is further configured to:

[0219] Performing a weighted summation on each degradation sub-value based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of each operating parameter on the degradation of the equipment component;

[0220] A first degradation value of the device is determined based on the sum of degradation values ​​of the device components.

[0221] In some embodiments, the second evaluation module 630 is further configured to:

[0222] Based on historical fault information, determine the impact coefficient of each historical fault information on equipment degradation;

[0223] A second degradation value is generated based on each influence coefficient.

[0224] Exemplarily, the equipment maintenance device further includes a maintenance plan generating module 650,

[0225] used to determine the interval in which the third degradation value lies based on the third degradation value and a degradation curve representing a degradation trend of the device;

[0226] Determining, based on the interval in which the third degradation value is located, corresponding maintenance measures and / or maintenance time within the interval;

[0227] Generate equipment maintenance plans based on maintenance measures and / or maintenance time;

[0228] The degradation curve is a curve showing how each degradation interval changes over time.

[0229] In actual application, the acquisition module 610, first evaluation module 620, second evaluation module 630, third evaluation module 640, and maintenance plan generation module 650 of the equipment maintenance device can be implemented by a processor in the electronic device. Of course, the processor needs to run the computer program in the memory to implement its functions.

[0230] In some embodiments, the hardware structure of the equipment maintenance device is as follows: Figure 7As shown, the hardware structure of the equipment maintenance device includes: a data acquisition module, a data communication module, a data storage module, a processor module, a degradation analysis module, and a power supply module. The data acquisition module is used to collect equipment operating parameter information through sensors. The equipment information is divided into digital and analog quantities. The data storage module is used to store equipment data, such as historical fault data of the equipment. The data communication module is used to transmit and receive information, and can transmit and receive information via RS485 / RS232, Ethernet, and 2 / 3 / 4 / 5G. The processing module is used to process the equipment's operating parameter information and generate the equipment's degradation value. The degradation analysis module is used to determine the degree of equipment degradation based on the equipment's degradation value. The processing module is connected to the display screen and touch buttons. The touch buttons are used to enter relevant information about the equipment, and the display screen is used to display the equipment's maintenance measures and maintenance time.

[0231] It should be noted that the equipment maintenance device provided in the above embodiment only uses the division of the above program modules as an example to illustrate when performing maintenance. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the equipment maintenance device provided in the above embodiment and the maintenance method embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0232] Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device. Figure 8 Only an exemplary structure of the electronic device is shown, not all structures, and it can be implemented as needed. Figure 8 Partial or complete structure shown.

[0233] like Figure 8 As shown, the electronic device 800 provided in the embodiment of the present application includes: at least one processor 801, a memory 802, a user interface 803 and at least one network interface 804. The various components in the electronic device 800 are coupled together through a bus system 805. It can be understood that the bus system 805 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 805 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 8 Various buses are labeled as bus system 805.

[0234] The user interface 803 may include a display, a keyboard, a mouse, a trackball, a click wheel, keys, buttons, a touch pad or a touch screen.

[0235] The memory 802 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program used to operate on the electronic device.

[0236] The maintenance method disclosed in the embodiments of the present application can be applied to the processor 801 or implemented by the processor 801. The processor 801 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the device method can be completed by the hardware integrated logic circuit in the processor 801 or by instructions in the form of software. The above-mentioned processor 801 can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 801 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the memory 802. The processor 801 reads the information in the memory 802 and, in combination with its hardware, completes the steps of the device maintenance method provided in the embodiments of the present application.

[0237] In an exemplary embodiment, the electronic device may be implemented by one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned method.

[0238] It is understood that memory 802 can be volatile memory or non-volatile memory, or can include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); magnetic surface memory can be magnetic disk memory or tape memory. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus random access memory (DRRAM).The memories described in the embodiments of this application are intended to include, but are not limited to, these and any other suitable types of memories.

[0239] In an exemplary embodiment, the present application also provides a storage medium, namely, a computer storage medium, which may be a computer-readable storage medium, for example, including a memory 802 storing a computer program. The computer program may be executed by a processor 801 of an electronic device to complete the steps of the method described in the embodiment of the present application. The computer-readable storage medium may be a memory such as a ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface storage, optical disk, or CD-ROM.

[0240] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0241] In addition, the technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.

[0242] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for equipment maintenance, characterized in that: include: Obtaining the current value and historical fault information of at least one operating parameter of the device; generating a first degradation value based on a current value of the at least one operating parameter, the first degradation value representing a degree of degradation of the device due to a change in the at least one operating parameter; generating a second degradation value based on the historical fault information, wherein the second degradation value represents a degree of degradation of the device affected by the fault state; generating a third degradation value based on the first degradation value and the second degradation value, wherein the third degradation value represents an overall degradation degree of the device; The generating a third degradation value based on the first degradation value and the second degradation value includes: performing a weighted summation of the first degradation value and the second degradation value based on the weighting coefficient of the first degradation value and the weighting coefficient of the second degradation value to obtain a third degradation value; The method further comprises: Determining, based on the third degradation value and a degradation curve representing a degradation trend of the device, an interval in which the third degradation value lies; Determining, based on the interval in which the third degradation value is located, corresponding maintenance measures and / or maintenance time within the interval; Generating a maintenance plan for the equipment based on the maintenance measures and / or maintenance time; The degradation curve is a curve showing how each degradation interval changes over time.

2. The method according to claim 1, characterized in that There are multiple operating parameters, and generating the first degradation value based on a current value of at least one operating parameter includes: For each operating parameter, a degradation sub-value of each operating parameter is calculated based on the corresponding current value, normal value, limit value and first coefficient; generating a first degradation value by performing a weighted summation of the degradation sub-values ​​of the respective operating parameters; The first coefficient is the degree of influence of each operating parameter on equipment degradation.

3. The method according to claim 2, characterized in that The step of calculating the degradation sub-value of each operating parameter based on the corresponding current value, normal value, limit value, and first coefficient of each operating parameter includes: determining, based on the current value, normal value, and limit value corresponding to each operating parameter, an influence value of each operating parameter, the influence value being a ratio of a first difference value to a second difference value of the operating parameter, the first difference being a difference between the current value and the normal value corresponding to the operating parameter, and the second difference being a difference between the limit value and the normal value corresponding to the operating parameter; Based on the influence value and the first coefficient of each operating parameter, a degradation sub-value of each operating parameter is generated.

4. The method according to claim 2, characterized in that The weighted summation of the degradation sub-values ​​of the respective operating parameters to generate a first degradation value includes: Performing a weighted summation on the degradation sub-values ​​based on a second coefficient to obtain a degradation value of the equipment component; the second coefficient is the degree of influence of the various operating parameters on the degradation of the equipment component; A first degradation value of the device is determined based on the sum of the degradation values ​​of the device components.

5. The method according to claim 4, characterized in that The equipment is a water pump equipment, and the equipment components include: an impeller, a sealing ring and a shaft. The at least one operating parameter includes: bearing vibration amplitude, bearing temperature, motor speed, current and voltage, and water pump operation time.

6. The method according to claim 1, characterized in that Generating a second degradation value based on the historical fault information includes: Based on the historical fault information, determining an impact coefficient of each historical fault information on equipment degradation; A second degradation value is generated according to each of the influence coefficients.

7. An equipment maintenance device, characterized in that: The device comprises: An acquisition module, configured to acquire a current value of at least one operating parameter of a device and historical fault information; a first evaluation module, configured to generate a first degradation value based on a current value of the at least one operating parameter, wherein the first degradation value represents a degree of degradation of the device due to a change in the at least one operating parameter; a second evaluation module, configured to generate a second degradation value based on the historical fault information, wherein the second degradation value represents a degree of degradation of the device affected by the fault state; a third evaluation module, configured to generate a third degradation value based on the first degradation value and the second degradation value, wherein the third degradation value represents an overall degradation degree of the device; The third evaluation module is specifically used for: performing a weighted summation of the first degradation value and the second degradation value based on the weighting coefficient of the first degradation value and the weighting coefficient of the second degradation value to obtain a third degradation value; Maintenance plan generation module, used to: Determining, based on the third degradation value and a degradation curve representing a degradation trend of the device, an interval in which the third degradation value lies; Determining, based on the interval in which the third degradation value is located, corresponding maintenance measures and / or maintenance time within the interval; Generating a maintenance plan for the equipment based on the maintenance measures and / or maintenance time; The degradation curve is a curve showing how each degradation interval changes over time.

8. An electronic device, characterized in that: include: A processor and a memory for storing a computer program capable of being executed on the processor, wherein The processor is configured to execute the steps of the method according to any one of claims 1 to 6 when running a computer program.

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images