Equipment state evaluation method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to an equipment state evaluation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring operation information of equipment at different moments, and determining an abnormal operation moment; acquiring equipment information, and identifying first maintenance intervention information of the equipment according to the equipment information and the abnormal operation moment; wherein the first maintenance intervention information is maintenance intervention operation information which is not recorded in an equipment performance operation and maintenance work log; determining maintenance intervention information of the equipment based on the first maintenance intervention information and the second maintenance intervention information; wherein the second maintenance intervention information is maintenance intervention operation information recorded in an equipment performance operation and maintenance work log; based on the maintenance intervention information, a state of health of the device is determined. By adopting the method, the accuracy of equipment health state evaluation can be improved.

Description

Technical Field

[0001] This application relates to the field of equipment assessment technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for assessing equipment condition. Background Technology

[0002] In the current industrial sector, equipment health status assessment, as a key technology for predictive and health management, is of great significance for ensuring production safety, optimizing operation and maintenance strategies, and reducing total life cycle costs.

[0003] Traditional equipment health status assessment methods mainly rely on the analysis of historical operating data of equipment, and evaluate the degree of equipment degradation and remaining life by constructing health indicators or using data-driven models.

[0004] However, traditional methods treat equipment degradation as a continuous, static trajectory affected only by natural wear and tear, failing to adequately consider the dynamic impact of other key factors on equipment health. This often leads to evaluation results that significantly deviate from the actual state of the equipment, failing to accurately reflect the evolution of its health level. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve the accuracy of equipment condition assessment in response to the above-mentioned technical problems.

[0006] In a first aspect, this application provides a method for assessing the condition of equipment, the method comprising:

[0007] Obtain equipment operating information at different times to determine the moments of abnormal operation;

[0008] Obtain device information, and based on the device information and the time of the abnormal operation, identify the first maintenance intervention information of the device; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the device performance operation and maintenance log;

[0009] Based on the first maintenance intervention information and the second maintenance intervention information, the maintenance intervention information of the equipment is determined; wherein, the second maintenance intervention information is the maintenance intervention operation information recorded in the equipment performance operation and maintenance log;

[0010] Based on the maintenance intervention information, the health status of the equipment is determined.

[0011] In one embodiment, the device information includes a device performance degradation curve; the step of identifying the first maintenance intervention information of the device based on the device information and the time of the abnormal operation includes:

[0012] Obtain the anomaly information at the moment of the operational anomaly;

[0013] If the abnormal information meets the performance evaluation standard threshold, obtain the real-time performance degradation curve at the moment of the abnormal operation; based on the real-time performance degradation curve and the device performance degradation curve, determine the degradation coefficient difference;

[0014] If the degradation coefficient difference does not reach the preset difference standard, obtain the operator information, and based on the operator information, assess the probability of the operator intervening in equipment maintenance.

[0015] When the probability of the operation reaches a preset probability threshold, real-time operation information and standard operation information at the moment of the abnormal operation are obtained.

[0016] If the real-time operation information is consistent with the standard operation information, it indicates that maintenance information exists.

[0017] If the real-time operation information is inconsistent with the standard operation information, it indicates that there is intervention information.

[0018] The first maintenance intervention information of the equipment is obtained by statistically analyzing the maintenance information and intervention information at all times of abnormal operation.

[0019] In one embodiment, the operator information includes the operator's operating permissions and maintenance intervention probability; the step of assessing the operator's probability of intervening in equipment maintenance based on the operator information includes:

[0020] If the operator has maintenance intervention permissions, the target running time corresponding to the abnormal running time and the running information corresponding to the target running time are obtained; wherein, the target running time is the time before the abnormal running time.

[0021] If the operating information corresponding to the target operating time meets the standard conditions, the maintenance intervention probability will be used as the probability of the operator intervening in the operation and maintenance of the equipment.

[0022] In one embodiment, determining the health status of the device based on the maintenance intervention information includes:

[0023] Based on the maintenance intervention information, the maintenance intervention health index of the equipment is determined;

[0024] Based on the maintenance intervention information, the equipment information, and the operational information, the operational health index of the equipment is determined;

[0025] The health status of the equipment is obtained based on the maintenance intervention health index and the operational health index.

[0026] In one embodiment, the maintenance intervention information includes maintenance information and intervention information; wherein, the intervention information includes intervention type; and determining the maintenance intervention health index of the equipment based on the maintenance intervention information includes:

[0027] Based on the maintenance information of the equipment, determine the maintenance effect of the equipment;

[0028] Obtain the intervention type when the device performs the intervention operation, query the preset historical operation record database, and obtain the intervention operation record with the same intervention type;

[0029] Based on the intervention operation records, the average improvement and average degradation of the performance indicators after the intervention operation were statistically obtained.

[0030] The intervention effect is obtained by subtracting the average degradation value from the average improvement value.

[0031] Based on the maintenance effect and the intervention effect, the maintenance intervention health index of the equipment is determined.

[0032] In one embodiment, the device information further includes real-time service life; the maintenance intervention information includes maintenance information and intervention information; wherein the maintenance information includes maintenance type and maintenance frequency; determining the device's operational health index based on the maintenance intervention information, the device information, and the operational information includes:

[0033] Obtain the deferral period corresponding to the maintenance type from a preset mapping table, and determine the average deferral period of the equipment based on the maintenance frequency corresponding to the maintenance type;

[0034] Based on the intervention information, determine the intervention update period for the device;

[0035] Based on the average delay period and the intervention update period, the updated period is obtained;

[0036] The actual service life is obtained based on the difference between the real-time service life and the updated sum of service life.

[0037] Based on the operational information and the actual years of use, the operational health index of the equipment is determined.

[0038] In one embodiment, the intervention information includes the intervention type; determining the intervention update period of the device based on the intervention information includes:

[0039] In the event that a component in the device is replaced, the replacement component of the device is determined according to the type of intervention.

[0040] If the replacement part and the original part are of the same model and are compatible with other parts of the equipment to which the replacement part is installed, obtain the cost weight of the replacement part in the equipment; based on the real-time service life, obtain the remaining service life of the equipment; based on the remaining service life and the cost weight, obtain the intervention and renewal period.

[0041] When the replacement part and the original part are of the same model and are incompatible with other parts of the equipment, the wear rate of the other parts of the equipment is obtained, and the intervention and replacement period is obtained based on the wear rate.

[0042] When the replacement part and the original part are of different models, obtain the matching degree between the replacement part and other parts of the equipment to which the replacement part is located, as well as the remaining service life of the other parts; based on the matching degree and the remaining service life, obtain the intervention and renewal period;

[0043] If no components in the device are replaced, the intervention operation information is obtained from the intervention information, and the intervention update period is obtained based on the intervention operation information.

[0044] Secondly, this application also provides a device for assessing equipment condition, the device comprising:

[0045] The first acquisition module is used to acquire the device's operating information at different times and determine the time of abnormal operation.

[0046] The second acquisition module is used to acquire device information and, based on the device information and the time of the abnormal operation, identify the first maintenance intervention information of the device; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the device performance operation and maintenance log;

[0047] The first determining module is used to determine the maintenance intervention information of the equipment based on the first maintenance intervention information and the second maintenance intervention information; wherein, the second maintenance intervention information is the maintenance intervention operation information recorded in the equipment performance operation and maintenance log;

[0048] The second determining module is used to determine the health status of the equipment based on the maintenance intervention information.

[0049] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.

[0050] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0051] The aforementioned equipment status assessment method, apparatus, computer equipment, computer-readable storage medium, and computer program product first acquire equipment operating information at different times to determine the moments of operational anomalies; second, acquire equipment information and, based on the equipment information and the moments of operational anomalies, identify the first maintenance intervention information for the equipment; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the equipment performance operation and maintenance log; third, based on the first and second maintenance intervention information, determine the equipment's maintenance intervention information; wherein, the second maintenance intervention information is maintenance intervention operation information recorded in the equipment performance operation and maintenance log; finally, based on the maintenance intervention information, determine the equipment's health status. In the process of assessing equipment health status, not only is the second maintenance intervention information extracted from the operation and maintenance log used, but the first maintenance intervention information not recorded in the operation and maintenance log, identified through similarity analysis of operating information and detection of operational anomalies and equipment information, is also incorporated; the use of the unrecorded first maintenance intervention information, together with the second maintenance intervention information, quantifies the maintenance and intervention effects, thereby reducing evaluation bias. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating a device status assessment method in one embodiment;

[0054] Figure 2 This is a flowchart illustrating the process of identifying the first maintenance intervention information of a device based on device information and the time of operational abnormality in one embodiment.

[0055] Figure 3 This is a schematic diagram of the device performance degradation curve in one embodiment;

[0056] Figure 4 This is a flowchart illustrating the process of determining the health status of equipment based on maintenance intervention information in one embodiment.

[0057] Figure 5 This is a flowchart illustrating the process of determining the maintenance intervention health index of equipment based on maintenance intervention information in one embodiment.

[0058] Figure 6 This is a flowchart illustrating the process of determining the operational health index of equipment based on maintenance intervention information, equipment information, and operational information in one embodiment.

[0059] Figure 7 This is a flowchart illustrating the process of determining the intervention update life of a device based on intervention information in one embodiment.

[0060] Figure 8 This is a structural block diagram of a device condition assessment apparatus in one embodiment;

[0061] Figure 9 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0063] In one embodiment, such as Figure 1 As shown, a device status assessment method is provided. This embodiment illustrates the method applied to a terminal, but it is understood that the method can also be applied to a server, and to a system including both a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes steps S102 to S108. Wherein:

[0064] Step S102: Obtain the device's operating information at different times to determine the time of abnormal operation.

[0065] The operating information includes operating parameters such as voltage, current, vibration frequency, and the equipment's unique rotational speed.

[0066] Optionally, the terminal acquires the device's operating information at different times, such as voltage, current, vibration frequency, and rotational speed, and compares it with the operating information at adjacent times, such as the operating information at the previous time tn-1 and the current time tn. The similarity between adjacent times is obtained by comparing the Pearson correlation coefficient. This process is repeated, calculating the similarity between tn-1 and tn-2, tn-2 and tn-3, and so on. The terminal determines whether the information similarity meets a preset similarity standard; if it does, it is considered an abnormal operating time.

[0067] During equipment operation, various parameters may fluctuate slightly. However, sudden and significant fluctuations indicate potential malfunctions, maintenance, or interventions at that moment. These moments are recorded as abnormal operation times, excluding maintenance intervention times from the equipment operation and maintenance logs. It should be noted that the equipment operation and maintenance logs also contain equipment information.

[0068] Step S104: Obtain equipment information and identify the first maintenance intervention information for the equipment based on the equipment information and the time of abnormal operation.

[0069] The first maintenance intervention information refers to maintenance intervention operations not recorded in the equipment performance operation and maintenance log. Equipment information includes equipment performance degradation curves, equipment operation and maintenance logs, and the equipment's real-time service life. The real-time service life refers to the purely natural time elapsed from when the equipment was put into operation at the factory to the present moment.

[0070] Optionally, the terminal determines whether there is maintenance intervention information at the time of the abnormal operation based on equipment information such as equipment performance degradation curve and time of abnormal operation. If there is, it is the first maintenance intervention information for the equipment.

[0071] In practical applications, operators typically record most equipment maintenance and interventions in the equipment performance maintenance log. However, due to reasons such as temporary maintenance and interventions, staff forgetting to record them, or the log not being required, some maintenance interventions are not recorded. Therefore, identifying equipment maintenance interventions helps reduce biases in equipment health assessments caused by these interventions and improves the accuracy of equipment health assessments.

[0072] Step S106: Based on the first maintenance intervention information and the second maintenance intervention information, determine the maintenance intervention information for the equipment.

[0073] The second type of maintenance intervention information consists of maintenance intervention operation information recorded in the equipment performance operation and maintenance log. In practical applications, some operation and maintenance interventions are recorded, such as cleaning the equipment on a certain day or replacing equipment parts on another day. The equipment operation and maintenance log includes information such as the items performed and the time points in the equipment operation and maintenance process.

[0074] Optionally, the terminal may use the first maintenance intervention information and the second maintenance intervention information together as the maintenance intervention information for the device.

[0075] Step S108: Determine the health status of the equipment based on maintenance intervention information.

[0076] Optionally, the terminal determines the equipment's maintenance intervention health index based on maintenance intervention information, and determines the operational health index based on maintenance intervention information, operational information, and equipment information such as real-time service life. The terminal combines the maintenance intervention health index and the operational health index to evaluate the equipment's health status.

[0077] In practical applications, the health status of equipment is obtained by subtracting the maintenance intervention health index from the operational health index. The operational health index refers to the current health status of the equipment during operation. However, if the equipment has undergone maintenance intervention, its health standard should be higher. Therefore, the actual equipment health status should be calculated by subtracting the health impact of maintenance intervention. For example, if the vibration frequencies of equipment A and B are consistently high, but equipment A's vibration frequency becomes the same as equipment B's after maintenance intervention, then equipment A's health status is clearly worse because it has already undergone maintenance intervention, yet the vibration frequency remains high. Therefore, in actual evaluation, the health impact of maintenance intervention needs to be subtracted to obtain the actual health status of the equipment. Furthermore, the evaluation standards differ depending on the service life. It's impossible to expect ten-year-old equipment to have the same operational performance as new equipment. If equipment has been used for ten years but its performance still reaches 70% of its original performance, it is clearly above normal degradation. This does not mean the equipment is unhealthy; rather, it is considered very healthy. Therefore, the evaluation baselines for different devices differ due to their service life, and maintenance interventions can cause changes in the actual service life. Thus, determining the actual service life helps to obtain health status evaluation results that are more closely matched to the equipment.

[0078] In the aforementioned equipment status assessment method, firstly, operational information of the equipment at different times is acquired to determine the moments of operational anomalies. Secondly, equipment information is acquired, and based on the equipment information and the moments of operational anomalies, the first maintenance intervention information is identified. This first maintenance intervention information refers to maintenance intervention operations not recorded in the equipment performance maintenance log. Thirdly, based on the first and second maintenance intervention information, the equipment's maintenance intervention information is determined. This second maintenance intervention information refers to maintenance intervention operations recorded in the equipment performance maintenance log. Finally, based on the maintenance intervention information, the equipment's health status is determined. In the process of assessing equipment health status, not only is the second maintenance intervention information extracted from the maintenance log used, but also the first maintenance intervention information not recorded in the maintenance log, identified through operational information similarity analysis to detect operational anomalies and equipment information. Using the unrecorded first maintenance intervention information, together with the second maintenance intervention information, quantifies the maintenance and intervention effects, thereby reducing evaluation bias.

[0079] In one exemplary embodiment, such as Figure 2As shown, the equipment information includes the equipment performance degradation curve; based on the equipment information and the time of abnormal operation, the first maintenance intervention information of the equipment is identified, including the following steps S202 to S212. Wherein:

[0080] Step S202: Obtain the exception information at the moment of the runtime exception.

[0081] Abnormal information refers to information that differs significantly from normal operating information. For example, if the real-time speed differs too much from the standard speed, the real-time speed will be recorded as abnormal information.

[0082] Optionally, the terminal acquires abnormal information at the moment of abnormal operation after the data acquisition is completed, such as real-time rotation speed and temperature.

[0083] Step S204: If the abnormal information meets the performance evaluation standard threshold, obtain the real-time performance degradation curve at the time of the abnormal operation; based on the real-time performance degradation curve and the equipment performance degradation curve, determine the difference in degradation coefficient.

[0084] Among them, the equipment performance degradation curve is as follows Figure 3 As shown in the diagram. The horizontal axis represents runtime, and the vertical axis represents performance metrics. Equipment performance metrics degrade over time. Anomalies meeting the performance evaluation threshold mean that the anomalies are far from the threshold, indicating that the equipment's performance has not improved.

[0085] Optionally, the terminal obtains the performance evaluation criteria corresponding to each parameter in the anomaly information. If the anomaly information's performance is closer to the evaluation criteria, it is considered a performance improvement. For example, lower device temperature is better, indicating better heat dissipation. Therefore, if the abnormal temperature is lower than the normal temperature, it is judged as a performance improvement; otherwise, it is judged as a performance decline. Based on the performance of different parameters, the overall device performance can be evaluated by setting parameter weights. If the device's performance improves, it is directly determined that maintenance intervention information was present at the time of the malfunction.

[0086] Optionally, if the terminal's abnormal information deviates significantly from the evaluation standard threshold, it indicates that the device's performance has not been improved. The system then acquires the device's performance degradation data at the time of the abnormal operation and plots a real-time performance degradation curve based on this data. The terminal compares the real-time performance degradation curve with the device's performance degradation curve, extracting the first degradation coefficient at the time of the abnormal operation from the real-time performance degradation curve and the second degradation coefficient from the device's performance degradation curve. Finally, the degradation coefficients of the first and second degradation coefficients are calculated.

[0087] Step S206: If the degradation coefficient difference does not reach the preset difference standard, obtain the operator information and assess the probability of the operator intervening in equipment maintenance based on the operator information.

[0088] Optionally, if the difference in degradation coefficients reaches a preset difference standard, it is considered to conform to the degradation law, and no maintenance intervention information is required.

[0089] Optionally, if the difference in degradation coefficients does not reach the preset difference standard, it is considered to be inconsistent with the degradation law. In this case, operator information is obtained, and the probability of operator intervention in equipment maintenance is assessed based on the operator information.

[0090] Step S208: When the operation probability reaches a preset probability threshold, obtain real-time operation information and standard operation information at the moment of abnormal operation.

[0091] Operational information refers to the actions taken by the operator, including operation buttons, operation strategies, and operation procedures. Since maintenance is generally performed under normal shutdown and equipment operating conditions, the machine's operation procedures usually remain unchanged, and maintenance is carried out during idle periods. Intervention, on the other hand, indicates that the equipment is malfunctioning and requires immediate repair. Therefore, intervention typically leads to abnormal shutdowns or changes in operation strategies.

[0092] Real-time operating information is the actual operational behavior performed by operators, recorded through system logs, sensors, or surveillance video. Standard operating information, on the other hand, refers to the ideal and standardized operating procedures defined in the equipment manufacturer's or company's maintenance protocols.

[0093] Optionally, if the operation probability reaches a preset probability threshold, it is determined that there is a trace of maintenance intervention, and real-time operation information and standard operation information at the time of abnormal operation are collected.

[0094] Step S210: If the real-time operation information is consistent with the standard operation information, it indicates that maintenance information exists; if the real-time operation information is inconsistent with the standard operation information, it indicates that intervention information exists.

[0095] Intervention information refers to actions taken in response to an anomaly or malfunction that has occurred; maintenance information refers to actions taken in accordance with predetermined plans and standard procedures.

[0096] Optionally, the terminal compares the real-time operation information with the standard operation information. If they match, it indicates that maintenance should have been performed on the device during the abnormal operation, and therefore maintenance information exists. If they do not match, it indicates that maintenance should not have been performed during the abnormal operation, and after excluding maintenance operations, only intervention operations are possible, and therefore intervention information exists.

[0097] Step S212: Collect maintenance and intervention information for all abnormal operation times to obtain the first maintenance intervention information for the equipment.

[0098] Optionally, the terminal collects maintenance and intervention information at each moment of abnormal operation, and uses all maintenance and intervention information at each moment of abnormal operation as the first maintenance and intervention information of the equipment, that is, information that is not recorded.

[0099] In practical applications, equipment performance generally degrades naturally with increased usage time. An improvement in equipment performance indicates that the operator has intervened in maintenance. However, the lack of performance improvement does not necessarily mean that maintenance intervention was not involved. If the degradation is much slower than expected, it likely indicates that maintenance intervention has also occurred. Since maintenance intervention requires operator intervention, determining whether intervention has taken place requires assessment based on the operator's actual actions, as slow performance degradation could also be due to other factors affecting the equipment. If the operator's intervention probability reaches a preset threshold, it is determined that the operator has intervened, resulting in unrecorded first maintenance intervention information. Collecting this first maintenance intervention information allows for more accurate assessments.

[0100] In this embodiment, identifying maintenance intervention traces facilitates a more accurate assessment of the equipment's service life. This reduces evaluation errors and biases caused by unrecorded temporary maintenance or interventions, thus lowering the bias in equipment health status assessments based on the production environment.

[0101] In an exemplary embodiment, the probability of an operator intervening in equipment maintenance is assessed based on operator information, including: if the operator has maintenance intervention authority, obtaining the target running time corresponding to the time of abnormal operation and the running information corresponding to the target running time; if the running information corresponding to the target running time meets the standard conditions, the probability of maintenance intervention is used as the probability of the operator intervening in equipment operation and maintenance.

[0102] Among them, the target running time is the moment before the running anomaly; the operator information includes the operator's operating authority and maintenance intervention probability; the maintenance intervention probability refers to the ratio of the number of times that should be maintained and intervened by the operator to the total number of times that should be maintained and intervened.

[0103] Optionally, if the operator's operation permissions do not include maintenance intervention permissions, the operation probability is considered to be 0.

[0104] Optionally, if the operator has maintenance intervention permissions, the terminal collects the operation time adjacent to the abnormal operation time and preceding the abnormal point, i.e., the target operation time corresponding to the abnormal time. Simultaneously, the terminal also obtains the operation information corresponding to the target operation time.

[0105] Furthermore, standard conditions for maintenance intervention are collected to determine whether the operational information at the target operating time meets these conditions. In practical applications, not all times are suitable for maintenance intervention. For example, cleaning equipment requires it to be in a normally shut-down state, while abnormal shutdown during operation requires a malfunction. Therefore, maintenance intervention has corresponding standard conditions. The operational information is used to determine whether these conditions are met; if not, the probability of operation is considered zero. If the operational information at the target operating time meets the standard conditions, the probability of maintenance intervention is taken as the probability of the operator performing maintenance intervention on the equipment.

[0106] In practical applications, determining whether equipment exhibits maintenance intervention traces requires confirming that the operator has maintenance intervention authority and that the current scenario allows for maintenance intervention. If the operator lacks maintenance intervention authority or the current scenario does not allow for maintenance intervention, then the operator obviously cannot perform maintenance intervention, and therefore the probability of such intervention is considered to be 0, indicating no maintenance intervention has occurred. If both conditions are met, whether the operator will actually perform the intervention is assessed based on the operator's probability of doing so. If the operator's daily operation probability is low, it is assumed that the operator is likely to overlook maintenance intervention, and therefore, it is assumed that they will not perform maintenance intervention on the equipment. Alternatively, the operation probability can be obtained by weighted summation of the difference between the maintenance intervention probability and the actual operating probability.

[0107] In this embodiment, operator information is introduced to evaluate the probability of personnel intervening in equipment operation and maintenance, laying the foundation for subsequent collection of unrecorded first operation and maintenance intervention information.

[0108] In one exemplary embodiment, such as Figure 4 As shown, the health status of the equipment is determined based on maintenance intervention information, including steps S402 to S406. Wherein:

[0109] Step S402: Based on the maintenance intervention information, determine the maintenance intervention health index of the equipment.

[0110] Optionally, the terminal evaluates the maintenance intervention effect of the equipment based on the maintenance intervention information, and evaluates the maintenance intervention health index of the equipment based on the maintenance intervention effect.

[0111] Step S404: Based on maintenance intervention information, equipment information, and operational information, determine the operational health index of the equipment.

[0112] Optionally, the terminal extracts the real-time service life of the equipment from the equipment information, and obtains the actual service life of the equipment based on the maintenance intervention information and the real-time service life; the terminal also obtains the collected equipment operation information, and combines the operation information and the actual service life to obtain the equipment's operational health index.

[0113] Step S406: Based on the maintenance intervention health index and the operational health index, the health status of the equipment is obtained.

[0114] In practical applications, the terminal subtracts the maintenance intervention health index from the operational health index to obtain the equipment's health status. The operational health index refers to the current health status of the equipment during operation. However, if the equipment has undergone maintenance intervention, its health standard should be higher. Therefore, the actual equipment health status should be calculated by subtracting the health impact of maintenance intervention. For example, if the vibration frequencies of devices A and B are consistently high, but device A's vibration frequency becomes the same as device B's after maintenance intervention, then device A's health status is clearly worse because it has already undergone maintenance intervention, yet the diagnostic frequency remains high. Therefore, in actual evaluation, the health impact of maintenance intervention needs to be subtracted to obtain the actual health status of the equipment. Furthermore, the evaluation standards differ depending on the length of service life. It's impossible to expect a ten-year-old device to have the same operational performance as a new device. If a device has been used for ten years but its performance still reaches 70% of its original performance, it is clearly above normal degradation. This doesn't mean the device is unhealthy; rather, it should be considered very healthy. Therefore, the evaluation baselines for different devices differ due to their service life, and maintenance interventions can cause changes in the actual service life. Thus, determining the actual service life helps to obtain health status evaluation results that are more closely matched to the equipment.

[0115] In this embodiment, by maintaining and intervening in the health index and operational health index, a more realistic and accurate assessment of the equipment's health status can be achieved. Equipment health status is dynamic, and its evaluation baseline changes with the equipment's service life. In actual application, maintenance and interventions inevitably update the equipment's service life. Therefore, identifying maintenance and intervention traces helps update the reference criteria for equipment health status evaluation, improving the accuracy of equipment health status evaluation based on the production environment.

[0116] In one exemplary embodiment, such as Figure 5 As shown, maintenance intervention information includes maintenance information and intervention information; wherein, intervention information includes intervention type; based on maintenance intervention information, the maintenance intervention health index of the equipment is determined, including steps S502 to S510. Wherein:

[0117] Step S502: Determine the maintenance effect of the equipment based on the equipment maintenance information.

[0118] The maintenance information includes maintenance frequency, maintenance compliance rate, and maintenance type coverage. Maintenance compliance rate refers to the ratio of maintenance performed according to the normal maintenance process to the total number of maintenance operations. Maintenance type coverage refers to the ratio of the number of maintenance types listed in the maintenance records to the total number of all maintenance types. Maintenance types include equipment cleaning, structural lubrication, etc. Higher maintenance frequency, higher maintenance compliance rate, and higher maintenance type coverage indicate better maintenance effectiveness.

[0119] Optionally, the terminal evaluates the maintenance effect of the equipment based on the maintenance information. The terminal calculates objective weights using the information entropy of maintenance frequency, maintenance compliance rate, and maintenance type coverage, and then evaluates the maintenance effect of the equipment.

[0120] Step S504: Obtain the intervention type of the intervention operation performed by the device, query the preset historical operation record database, and obtain the intervention operation record with the same intervention type.

[0121] The intervention types include replacing parts, calibrating parameters, and restarting the system.

[0122] Optionally, the terminal obtains the intervention type of the intervention operation performed by the device, and queries a preset historical operation record database to obtain the intervention operation record with the same intervention type as historical data.

[0123] Step S506: Based on the intervention operation records, the average improvement and average degradation of performance indicators after the intervention operation are statistically obtained.

[0124] Optionally, the terminal uses historical data to determine whether the intervention operation brings additional side effects, i.e., a decrease in certain performance characteristics after the intervention, which leads to a degradation in device performance. The terminal calculates the average degradation value of the device's performance indicators after the intervention operation.

[0125] Optionally, the terminal uses historical data to determine whether the intervention has a beneficial effect, i.e., an improvement in certain performance characteristics after the intervention, which leads to an improvement in device performance. The terminal calculates the average improvement in the device's performance indicators after the intervention.

[0126] Step S508: Subtract the average deterioration value from the average improvement value to obtain the intervention effect.

[0127] Optionally, the terminal subtracts the average degradation value from the average improvement value to obtain the final intervention effect of the equipment.

[0128] Step S510: Based on the maintenance effect and intervention effect, determine the maintenance intervention health index of the equipment.

[0129] Optionally, the maintenance effect and intervention effect are superimposed on the terminal to obtain the maintenance intervention effect of the equipment, and the maintenance intervention effect is used as the maintenance intervention health index of the equipment.

[0130] In practical applications, maintenance interventions can bring some benefits to equipment and improve its performance, but they may also cause certain side effects. Because maintenance generally has a relatively small impact on equipment, and is usually based on experience with the equipment's use, the side effects are often considered negligible. For example, replacing the mechanical seal of an industrial pump is a maintenance measure intended to solve leakage problems and restore the equipment's sealing performance. However, during disassembly and assembly, the operation may accidentally damage the bolt threads of adjacent pipes or supports, or create new scratches on the delicate bushing surface. Alternatively, mismatched replacement parts may lead to a decline in the performance of other components.

[0131] In this embodiment, the effects of intervention operations are evaluated through intervention operation records, i.e., intervention. Based on the intervention effect and maintenance effect, they are used together as the maintenance intervention health index, which can more comprehensively and accurately assess the maintenance intervention operation's impact on the equipment's maintenance intervention health index.

[0132] In one exemplary embodiment, such as Figure 6 As shown, the equipment information also includes real-time service life; maintenance intervention information includes maintenance information and intervention information; wherein, maintenance information includes maintenance type and maintenance frequency; based on maintenance intervention information, equipment information, and operating information, the equipment's operational health index is determined, including steps S602 to S610. Wherein:

[0133] Step S602: Obtain the delay period corresponding to the maintenance type from the preset mapping table, and determine the average delay period of the equipment based on the maintenance frequency corresponding to the maintenance type.

[0134] Optionally, before obtaining the corresponding delay period from the preset mapping table, the terminal first constructs the mapping table, including: extracting the maintenance type based on the maintenance information, and establishing a mapping table between different maintenance types and the equipment delay period.

[0135] Furthermore, taking industrial water pumps as an example, a corresponding maintenance type-delay age table is established, as shown in Table 1.

[0136] Table 1. Maintenance Type-Delayed Service Life Mapping Table for Industrial Water Pumps

[0137]

[0138] Optionally, the deferral period corresponding to each maintenance type is obtained from a preset mapping table, and the average deferral period of the equipment is determined based on the maintenance frequency corresponding to each maintenance type. This includes multiplying the actual maintenance frequency by the ratio of the actual maintenance frequency to the maintenance frequency in the table, and then multiplying the corresponding deferral period to obtain the deferral period for each type. For example, if the actual calibration maintenance period is 1 time / year, while the table shows 2 times / year, then the actual calibration type deferral period is 1 / 2 × 2 = 1 year. The average deferral period of the equipment is obtained by summing the type deferral periods for all maintenance types.

[0139] Step S604: Determine the intervention update period for the equipment based on the intervention information.

[0140] Optionally, the terminal assesses the average lifespan of the equipment based on the pre-information and uses the average lifespan as the intervention lifespan of the equipment.

[0141] Step S606: Based on the average delay period and the intervention update period, obtain the update sum of the periods.

[0142] Optionally, the terminal superimposes the average delay period and the intervention update period to obtain the update period sum.

[0143] Step S608: Based on the difference between the real-time usage years and the updated usage years, the actual usage years are obtained.

[0144] Optionally, the terminal uses the difference between the real-time usage years and the year update sum as the actual usage years.

[0145] In practice, both maintenance and intervention can alter the remaining service life of equipment. Therefore, the actual service life is not determined solely by the equipment's usage duration. For equipment, maintenance and intervention both update the actual service life. Maintenance typically only delays equipment replacement, thus extending its service life. Intervention, however, may lead to component replacement, updating the remaining service life. Therefore, the sum of delays and updates caused by maintenance and intervention is calculated by subtracting the updated service life from the current service life to arrive at the actual service life. For example, equipment A has an average service life of 20 years. Five years have passed since it was put into use, but regular cleaning and maintenance extend this by two years. Intervention also resulted in a one-year replacement. Therefore, the originally calculated remaining service life should be 15 years, but the actual remaining service life is 18 years. Thus, the actual service life of the equipment can be considered to be 2 years.

[0146] Step S610: Determine the operational health index of the equipment based on the operating information and actual years of use.

[0147] Optionally, the terminal evaluates the equipment's operational health index based on the acquired operational information and the actual years of use, including: acquiring standard operational information; comparing the information similarity between the operational information and the standard operational information using the Pearson correlation coefficient; setting a corresponding standard similarity based on the actual years of use; and calculating the difference between the information similarity and the standard similarity as the operational health index.

[0148] In this embodiment, the deferral period corresponding to each maintenance type is obtained by looking up the maintenance type-deferred lifespan table, and the type-deferred lifespan is calculated by combining the corresponding maintenance frequency. The type-deferred lifespan of all maintenance types is then summed to obtain the average deferral period of the equipment. Finally, the maintenance deferral period and the intervention update period are summed to obtain the updated lifespan, and the actual service life is obtained by subtracting the updated lifespan from the real-time service life. Determining the service life of the equipment allows for a more accurate assessment of its health status, aligning with its real-time condition and dynamic adjustments. This enables a more in-depth assessment of the equipment's health status, improving the dynamism and depth of equipment health status assessment based on the production environment.

[0149] In one exemplary embodiment, such as Figure 7 As shown, the intervention information includes the intervention type; based on the intervention information, the intervention update period of the equipment is determined, including steps S702 to S710. Wherein:

[0150] Step S702: In the event that a component in the equipment is replaced, determine the replacement component of the equipment based on the intervention type.

[0151] Optionally, if a component in the device is replaced, the terminal determines whether the physical component of the device has been replaced based on the intervention type. If the physical component of the device has been updated, the replaced physical component is recorded as the replaced component.

[0152] Whether the physical components of the equipment have been replaced refers to whether the structural components of the equipment have changed since the initial investment.

[0153] Step S704: If the replacement part and the original part are of the same model and are compatible with other parts of the equipment, obtain the cost weight of the replacement part in the equipment; based on the real-time service life, obtain the remaining service life of the equipment; based on the remaining service life and the cost weight, obtain the intervention and renewal period.

[0154] The replacement parts are also the standard parts.

[0155] Optionally, the terminal obtains the original component and determines whether the replacement component and the standard component have the same model number. If the replacement component and the original component have the same model number, it determines whether the other components of the equipment after the replacement component is replaced can withstand the performance of the replacement component. If they can, the replacement component is considered compatible with the other components of the equipment. In this case, it is necessary to obtain the cost weight of the replacement component in the equipment.

[0156] In practical applications, cost weighting refers to the ratio of the cost of replacing a component to the total cost of the equipment. As equipment ages, the performance of some components deteriorates, and their capacity decreases, making them unsuitable for replacement. For example, in a long-running industrial water pump, the pump casing, bearing housing, and other basic structures may have undergone minor plastic deformation or wear due to long-term vibration and stress, resulting in a subtle decrease in their original mechanical strength and precision. If only a new mechanical seal of the exact same model is replaced, the new seal's elasticity and tightening force, while meeting its design specifications, may not provide uniform clamping force for the deformed and aged mounting base, leading to incomplete sealing. Historical data can be used to determine the maximum capacity of other components of the equipment of the corresponding age to withstand the replacement component. For instance, if component A, with age, can only withstand a temperature of 40 degrees Celsius, while the newly replaced component has higher power and may operate at 45 degrees Celsius, component A may not be able to withstand this.

[0157] Furthermore, the terminal obtains the remaining service life of the device based on the real-time service life; multiplying the remaining service life by the cost weight, the intervention and renewal period is obtained.

[0158] Step S706: If the replacement part and the original part are of the same model and are incompatible with other parts of the equipment, obtain the wear rate of other parts of the equipment, and determine the intervention and replacement period based on each wear rate.

[0159] Optionally, if the replacement part is of the same model as the original part and is incompatible with other parts of the equipment after the replacement part is replaced, that is, if other parts of the equipment after the replacement part cannot withstand the performance of the replacement part, the terminal obtains the wear rate of other parts of the equipment and obtains the intervention and replacement period based on each wear rate.

[0160] Furthermore, if other equipment cannot withstand the performance of the replaced part, meaning the replaced part is incompatible with other components of the equipment to which it is replaced, it will actually accelerate the aging and damage of the equipment. After the replacement part is obtained, the wear rate of the other components of the equipment is determined, i.e., the damage rate. The terminal uses the damage rate to calculate the difference between the actual remaining lifespan of the other components and the estimated lifespan of the components, selecting the smallest difference as the intervention replacement period. If a negative value is obtained, it indicates that the aging and damage of the equipment is actually accelerated.

[0161] Alternatively, the average service life of other components of the equipment can be collected, and the ratio of the actual performance value of the replacement component to the performance value that other components of the equipment can withstand can be calculated as the wear ratio. The actual remaining years can be obtained by multiplying the wear ratio by the average service life, and the difference can be obtained by subtracting the estimated life of the component. The minimum difference is selected as the intervention and replacement period.

[0162] Step S708: When the replacement part and the original part are different models, obtain the matching degree between the replacement part and other parts of the equipment to which the replacement part is located, as well as the remaining service life of the other parts; based on the matching degree and the remaining service life, obtain the intervention and renewal period.

[0163] Optionally, when the replacement part and the original part are different models, the terminal obtains the matching degree between the replacement part and other parts of the equipment, as well as the remaining service life of the other parts; based on the matching degree and the remaining service life, the intervention update period is obtained, including: obtaining the standard operating parameters of the other parts of the equipment when the standard part and the other parts of the equipment are running; obtaining the replacement operating parameters of the other parts of the equipment when the replacement part and the other parts of the equipment are running; comparing the similarity between the standard operating parameters and the replacement operating parameters as the matching degree between the replacement part and the other parts of the equipment; comparing the similarity between the standard operating parameters and the replacement operating parameters using the Pearson correlation coefficient; multiplying the matching degree by the remaining service life of the other parts of the equipment one by one to obtain the component update period of the other parts; calculating the difference between the component update period of the other parts of all equipment and the corresponding remaining service life, and selecting the one with the smallest difference as the intervention update period.

[0164] In practical applications, if the new parts cannot effectively match the original parts, the mismatch can actually accelerate the aging of the equipment. Therefore, the remaining service life of the equipment is determined by the degree of mismatch. Equipment is composed of multiple indispensable parts; if a mismatch causes a rapid decrease in the remaining lifespan of a particular part, the equipment will also fail when that part is damaged. Therefore, if the calculated intervention replacement period is negative, it indicates that the equipment is aging faster.

[0165] Step S710: If no parts in the equipment have been replaced, obtain intervention operation information from the intervention information, and obtain the intervention update period based on the intervention operation information.

[0166] Optionally, if no components in the equipment have been replaced, the terminal obtains intervention operation information from the intervention information and calculates the intervention update period based on this information. Calculating the intervention update period based on the intervention operation information includes: determining whether the intervention operation completely resolved the equipment problem based on the intervention operator information; if several pre-operations completely resolved the equipment problem, then collecting the corresponding problem-solving data; collecting historical problem-solving data, and using the historical data to statistically analyze the average reduction in equipment lifespan caused by problem-solving as the intervention update period. If the intervention operation did not completely resolve the equipment problem, it is determined whether the intervention operation responded to each problem-solving attempt. If it responded to each problem-solving attempt, the average response time of the intervention operation is collected, and the intervention update period is calculated based on the average reduction in lifespan. If it did not respond to each problem-solving attempt, the average response probability of the intervention operation is collected, and the intervention update period is calculated based on the average reduction in lifespan.

[0167] Furthermore, to determine whether the equipment problem is completely resolved, it is necessary to assess whether the operating parameters corresponding to the same equipment problem recur. If they do, the equipment problem is considered not completely resolved; otherwise, it is considered completely resolved. The average reduction in lifespan of equipment with unresolved issues is used as the intervention and replacement period based on historical data. The duration of time corresponding to the resolution of the problem is collected, and the intervention and replacement period is obtained by multiplying the ratio of the average response time to the duration by the average lifespan reduction.

[0168] In practical applications, intervention operations may involve replacing equipment components. Once these components are replaced, the equipment's service life can be significantly extended. However, if the replacement component cannot be used smoothly with other components, it may actually accelerate the aging of the equipment. Therefore, when other components of the equipment cannot withstand the performance of the newer component, the intervention-induced replacement lifespan may actually be negative. Analyzing the equipment replacement caused by intervention helps to establish a more accurate baseline for evaluating the equipment's health status and obtain more accurate evaluation results.

[0169] In practical applications, the intervention replacement period is obtained by multiplying the average response probability and the average reduced lifespan. Interventions may involve manual intervention, such as promptly restarting the equipment when a fault occurs, which can resolve the fault and reduce the damage caused by it. For such interventions, the intervention replacement period needs to be assessed based on the actual intervention frequency and response time.

[0170] In this embodiment, if several pre-type devices have had their physical components replaced, and the replacement models are consistent, then the remaining service life of the device is calculated based on whether other components can withstand the performance of the replaced components. This remaining service life is determined by the device's real-time service life and then weighted by cost to calculate the intervention and replacement period. If the device cannot withstand the performance of the replaced components, the intervention and replacement period is determined based on the wear rate of other components. If the replacement models are inconsistent, the intervention and replacement period is determined using the compatibility between the replaced components and other components, as well as the remaining service life of those other components. If no physical components are replaced, the intervention and replacement period is determined based on the judgment result of whether the intervention operation completely resolves the device problem, the probability of the operation responding to the problem, and other factors. Obtaining a more accurate intervention and replacement period for the device improves the accuracy of device health status assessment.

[0171] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0172] Based on the same inventive concept, this application also provides an equipment condition assessment apparatus for implementing the equipment condition assessment method described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method; therefore, the specific limitations in one or more equipment condition assessment apparatus embodiments provided below can be found in the limitations of the equipment condition assessment method described above, and will not be repeated here.

[0173] In one exemplary embodiment, such as Figure 8 As shown, a device for assessing equipment status is provided, comprising: a first acquisition module 801, a second acquisition module 802, a first determination module 803, and a second determination module 804, wherein:

[0174] The first acquisition module 801 is used to acquire the device's operating information at different times and determine the time of abnormal operation.

[0175] The second acquisition module 802 is used to acquire equipment information and identify the first maintenance intervention information of the equipment based on the equipment information and the time of the abnormal operation; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the equipment performance operation and maintenance log.

[0176] The first determining module 803 is used to determine the maintenance intervention information of the equipment based on the first maintenance intervention information and the second maintenance intervention information; wherein, the second maintenance intervention information is the maintenance intervention operation information recorded in the equipment performance operation and maintenance log.

[0177] The second determination module 804 is used to determine the health status of the equipment based on maintenance intervention information.

[0178] In an exemplary embodiment, the device information includes a device performance degradation curve; the second acquisition module 802 is further configured to acquire abnormal information at abnormal operating times; if the abnormal information meets the performance evaluation standard threshold, acquire the real-time performance degradation curve at the abnormal operating time; determine the degradation coefficient difference based on the real-time performance degradation curve and the device performance degradation curve; if the degradation coefficient difference does not reach a preset difference standard, acquire operator information and assess the probability of operator intervention in device maintenance based on the operator information; if the operation probability reaches a preset probability threshold, acquire real-time operation information and standard operation information at the abnormal operating time; if the real-time operation information is consistent with the standard operation information, it indicates the presence of maintenance information; if the real-time operation information is inconsistent with the standard operation information, it indicates the presence of intervention information; and statistically analyze the maintenance information and intervention information at all abnormal operating times to obtain the first maintenance intervention information of the device.

[0179] In an exemplary embodiment, the operator information includes the operator's operating permissions and maintenance intervention probability; the second acquisition module 802 is further configured to acquire the target operating time corresponding to the time of the abnormal operation and the operating information corresponding to the target operating time when the operator's operating permissions include maintenance intervention permissions; wherein, the target operating time is the time before the time of the abnormal operation; and if the operating information corresponding to the target operating time meets the standard conditions, the maintenance intervention probability is used as the probability of the operator's operation to intervene in the equipment maintenance.

[0180] In an exemplary embodiment, the second determining module is further configured to determine the maintenance intervention health index of the equipment based on maintenance intervention information; determine the operation health index of the equipment based on maintenance intervention information, equipment information, and operation information; and obtain the health status of the equipment based on the maintenance intervention health index and the operation health index.

[0181] In an exemplary embodiment, the maintenance intervention information includes maintenance information and intervention information; wherein, the intervention information includes the intervention type; the second determining module is further configured to determine the maintenance effect of the device based on the device's maintenance information; obtain the intervention type of the device performing the intervention operation, query a preset historical operation record database, and obtain the intervention operation record with the same intervention type; based on the intervention operation record, statistically obtain the average improvement value and average degradation value of the performance index after the intervention operation; subtract the average degradation value from the average improvement value to obtain the intervention effect; and determine the maintenance intervention health index of the device based on the maintenance effect and the intervention effect.

[0182] In an exemplary embodiment, the equipment information further includes real-time service life; maintenance intervention information includes maintenance information and intervention information; wherein, the maintenance information includes maintenance type and maintenance frequency; the second determining module is further configured to obtain the delay period corresponding to the maintenance type from a preset mapping table, determine the average delay period of the equipment based on the maintenance frequency corresponding to the maintenance type; determine the intervention update period of the equipment according to the intervention information; obtain the update sum of the years based on the average delay period and the intervention update period; obtain the actual service life based on the difference between the real-time service life and the update sum of the years; and determine the operational health index of the equipment based on the operation information and the actual service life.

[0183] In an exemplary embodiment, the intervention information includes an intervention type; the second determining module is further configured to, in the event that a component in the device is replaced, determine the replacement component of the device according to the intervention type; if the replacement component and the original component are of the same model and are compatible with other components of the device with the replacement component, obtain the cost weight of the replacement component in the device; obtain the remaining service life of the device based on the real-time service life; obtain the intervention renewal period based on the remaining service life and the cost weight; if the replacement component and the original component are of the same model and are incompatible with other components of the device with the replacement component, obtain the wear rate of other components of the device, and obtain the intervention renewal period based on each wear rate; if the replacement component and the original component are of different models, obtain the matching degree between the replacement component and other components of the device with the replacement component, as well as the remaining service life of the other components; obtain the intervention renewal period based on the matching degree and the remaining service life; if no component in the device is replaced, obtain intervention operation information from the intervention information, and obtain the intervention renewal period based on the intervention operation information.

[0184] Each module in the aforementioned equipment status assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0185] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 9 As shown, this computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores device data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When executed by the processor, the computer program implements a device status assessment method.

[0186] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0187] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0188] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0189] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0190] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0191] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0192] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for assessing equipment condition, characterized in that, The method includes: Obtain equipment operating information at different times to determine the moments of abnormal operation; Obtain device information, and based on the device information and the time of the abnormal operation, identify the first maintenance intervention information of the device; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the device performance operation and maintenance log; Based on the first maintenance intervention information and the second maintenance intervention information, the maintenance intervention information of the equipment is determined; wherein, the second maintenance intervention information is the maintenance intervention operation information recorded in the equipment performance operation and maintenance log; Based on the maintenance intervention information, the health status of the equipment is determined.

2. The method according to claim 1, characterized in that, The equipment information includes equipment performance degradation curves; the step of identifying the first maintenance intervention information for the equipment based on the equipment information and the time of the operational anomaly includes: Obtain the anomaly information at the moment of the operational anomaly; If the abnormal information meets the performance evaluation standard threshold, obtain the real-time performance degradation curve at the moment of the abnormal operation; based on the real-time performance degradation curve and the device performance degradation curve, determine the degradation coefficient difference. If the degradation coefficient difference does not reach the preset difference standard, obtain the operator information, and based on the operator information, assess the probability of the operator intervening in equipment maintenance. When the probability of the operation reaches a preset probability threshold, real-time operation information and standard operation information at the moment of the abnormal operation are obtained. If the real-time operation information is consistent with the standard operation information, it indicates that maintenance information exists. If the real-time operation information is inconsistent with the standard operation information, it indicates that there is intervention information. The first maintenance intervention information of the equipment is obtained by statistically analyzing the maintenance information and intervention information at all times of abnormal operation.

3. The method according to claim 2, characterized in that, The operator information includes the operator's operating permissions and the probability of maintenance intervention; the step of assessing the probability of the operator intervening in equipment maintenance based on the operator information includes: If the operator has maintenance intervention permissions, the target running time corresponding to the abnormal running time and the running information corresponding to the target running time are obtained; wherein, the target running time is the time before the abnormal running time. If the operating information corresponding to the target operating time meets the standard conditions, the maintenance intervention probability will be used as the probability of the operator intervening in the operation and maintenance of the equipment.

4. The method according to claim 1, characterized in that, Determining the health status of the equipment based on the maintenance intervention information includes: Based on the maintenance intervention information, the maintenance intervention health index of the equipment is determined; Based on the maintenance intervention information, the equipment information, and the operational information, the operational health index of the equipment is determined; The health status of the equipment is obtained based on the maintenance intervention health index and the operational health index.

5. The method according to claim 4, characterized in that, The maintenance intervention information includes maintenance information and intervention information; wherein, the intervention information includes intervention type; and determining the maintenance intervention health index of the equipment based on the maintenance intervention information includes: Based on the maintenance information of the equipment, determine the maintenance effect of the equipment; Obtain the intervention type when the device performs the intervention operation, query the preset historical operation record database, and obtain the intervention operation record with the same intervention type; Based on the intervention operation records, the average improvement and average degradation of the performance indicators after the intervention operation were statistically obtained. The intervention effect is obtained by subtracting the average degradation value from the average improvement value. Based on the maintenance effect and the intervention effect, the maintenance intervention health index of the equipment is determined.

6. The method according to claim 4, characterized in that, The equipment information also includes real-time service life; the maintenance intervention information includes maintenance information and intervention information; wherein, the maintenance information includes maintenance type and maintenance frequency; the determination of the equipment's operational health index based on the maintenance intervention information, the equipment information, and the operational information includes: Obtain the delay period corresponding to the maintenance type from a preset mapping table, and determine the average delay period of the equipment based on the maintenance frequency corresponding to the maintenance type; Based on the intervention information, determine the intervention update period for the device; Based on the average delay period and the intervention update period, the updated period sum is obtained; The actual service life is obtained based on the difference between the real-time service life and the updated service life. Based on the operational information and the actual years of use, the operational health index of the equipment is determined.

7. The method according to claim 6, characterized in that, The intervention information includes the intervention type; determining the intervention update period of the device based on the intervention information includes: In the event that a component in the device is replaced, the replacement component of the device is determined according to the type of intervention. If the replacement part and the original part are of the same model and are compatible with other parts of the equipment to which the replacement part is installed, obtain the cost weight of the replacement part in the equipment; based on the real-time service life, obtain the remaining service life of the equipment; based on the remaining service life and the cost weight, obtain the intervention and renewal period. When the replacement part and the original part are of the same model and are incompatible with other parts of the equipment, the wear rate of the other parts of the equipment is obtained, and the intervention and replacement period is obtained based on the wear rate. When the replacement part and the original part are of different models, obtain the matching degree between the replacement part and other parts of the equipment to which the replacement part is located, as well as the remaining service life of the other parts; based on the matching degree and the remaining service life, obtain the intervention and renewal period; If no components in the device are replaced, the intervention operation information is obtained from the intervention information, and the intervention update period is obtained based on the intervention operation information.

8. A device for assessing equipment condition, characterized in that, The device includes: The first acquisition module is used to acquire the device's operating information at different times and determine the time of abnormal operation. The second acquisition module is used to acquire device information and, based on the device information and the time of the abnormal operation, identify the first maintenance intervention information of the device; wherein, the first maintenance intervention information is maintenance intervention operation information not recorded in the device performance operation and maintenance log; The first determining module is used to determine the maintenance intervention information of the equipment based on the first maintenance intervention information and the second maintenance intervention information; wherein, the second maintenance intervention information is the maintenance intervention operation information recorded in the equipment performance operation and maintenance log; The second determining module is used to determine the health status of the equipment based on the maintenance intervention information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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