Method and apparatus for evaluating device health

Abstract

This invention relates to the field of equipment monitoring technology, and provides a method and apparatus for evaluating equipment health. The method includes: acquiring real-time operating status data and alarm data of the equipment; counting the number of alarms within each maintenance cycle, wherein the number of alarms includes the sum of the number of received alarm data and the number of operating status data exceeding a status threshold; determining the index values ​​of multiple health evaluation indicators based on the number of alarms; and substituting the index values ​​of each health evaluation indicator into a health evaluation model to obtain a health score for the equipment. The health evaluation model is determined based on a score table for each health evaluation indicator, and the score table records the value range of the health evaluation indicators and the corresponding score values ​​for each value range. This invention enables the evaluation of equipment health using multiple health evaluation indicators, making the equipment health evaluation more accurate.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring technology, and in particular to a method and apparatus for evaluating equipment health. Background Technology

[0002] Currently, equipment (such as communication equipment) health scoring methods involve continuously receiving alarm information uploaded by various communication subsystems, collecting data on various indicators of the communication equipment triggered by exceeding thresholds, and establishing a health model based on the alarm frequency within the maintenance cycle to evaluate the equipment's health. For example, a table mapping alarm frequency ranges to health scores is created, and the health score is determined based on the real-time alarm frequency within the maintenance cycle. This allows staff to understand the equipment's health status, providing a basis for determining whether to perform maintenance, repairs, or replacements.

[0003] However, the above-mentioned health rating methods rely on a single factor to evaluate the health of equipment, resulting in low accuracy in health rating. Summary of the Invention

[0004] This invention provides a method and apparatus for evaluating equipment health, which solves the problem that the existing technology uses only one factor to evaluate equipment health and has low accuracy in health evaluation.

[0005] This invention provides a method for evaluating the health of equipment, comprising the following steps: Real-time acquisition of equipment operating status data and alarm data; The alarm count is calculated for each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold. The values ​​of multiple health evaluation indicators are determined based on the number of alarms. The health evaluation index values ​​of each health evaluation index are substituted into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation index, and the score table records the value range of the health evaluation index and the score value corresponding to the value range.

[0006] According to the equipment health evaluation method provided by the present invention, the health evaluation model is a summation model of the scores of the index values ​​of each health evaluation index; Substituting the values ​​of each health evaluation indicator into the health evaluation model yields the equipment's health score, including: Based on the index values ​​of each health evaluation indicator, find the score corresponding to the index value in the corresponding score table; The health score of the equipment is obtained by summing the scores of each health evaluation indicator.

[0007] According to the equipment health evaluation method provided by the present invention, the health evaluation model is a weighted summation model of the scores of each health evaluation index and the corresponding index weights; The health score of the equipment is obtained by summing the scores of each health evaluation indicator, including: the health score of the equipment is obtained by weighted summing of the scores of each health evaluation indicator and the corresponding indicator weights.

[0008] According to the present invention, a method for evaluating equipment health includes the following health evaluation indicators: alarm frequency growth rate, high-level alarm percentage, and frequency of key alarm types. The alarm frequency growth rate represents the growth rate of the number of alarms in the current maintenance cycle relative to the number of alarms in the previous maintenance cycle. The percentage of high-level alarms indicates the proportion of high-level alarms to all alarms during the current maintenance cycle. High-level alarms include at least the alarms with the highest alarm level. The frequency of critical alarm types indicates the alarm frequency of the preset critical alarm types within the current maintenance cycle.

[0009] According to the equipment health assessment method provided by the present invention, after substituting the index values ​​of each health assessment indicator into the health assessment model to obtain the equipment health score, the method further includes: Analyze the trend of the number of alarms, and when the health score is lower than a preset first score threshold and the number of alarms is increasing, output an early warning prompt for checking and repairing the equipment. Alternatively, if the health score is lower than a preset second score threshold, an early warning prompt for inspection and repair of the equipment is output, wherein for the same equipment, the second score threshold is less than the first score threshold.

[0010] The device health evaluation method provided by the present invention further includes: displaying the alarm frequency and various health evaluation indicators in a statistical chart.

[0011] The present invention also provides a device for evaluating the health of equipment, comprising the following modules: The data acquisition module is used to acquire real-time operating status data and alarm data of the equipment; The alarm count module is used to count the number of alarms in each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold. The indicator value determination module is used to determine the indicator values ​​of multiple health evaluation indicators based on the number of alarms. The scoring module is used to input the index values ​​of each health evaluation indicator into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation indicator, and the score table records the value range of the health evaluation indicator and the score value corresponding to the value range.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the device health evaluation method as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the device health evaluation method as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the device health evaluation method as described above.

[0015] The equipment health evaluation method and apparatus provided by this invention counts the number of alarms in each maintenance cycle based on the equipment's alarm data and operating status data, making the alarm count more accurate. Furthermore, it determines multiple health evaluation indicators based on the number of alarms and combines them with a health evaluation model determined by the scoring table of each health evaluation indicator to obtain the equipment's health score. This enables the evaluation of equipment health from multiple dimensions, making the equipment health evaluation more accurate. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the equipment health evaluation method provided by the present invention.

[0018] Figure 2 This is a schematic diagram of the device health evaluation device provided by the present invention.

[0019] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] The device health evaluation method of this invention, as shown in the embodiments, is as follows: Figure 1 As shown, the procedure includes steps S110 to S140.

[0022] Step S110: Acquire real-time operating status data and alarm data of the equipment. In this step, operating status data and alarm data of the equipment can be acquired from multiple channels such as the equipment management system, monitoring system, and / or on-site monitoring equipment (e.g., sensors). For example, for communication equipment, operating status data includes: CPU utilization, memory utilization, temperature, and voltage; alarm data includes: alarm type, alarm level (e.g., high, medium, and low levels), occurrence time, and end time.

[0023] Preferably, in this step, the collected data of different formats and sources will be standardized to have a unified format and data structure, facilitating subsequent analysis. Specifically, abnormal operating status data will be converted into a specified type of alarm data format to facilitate subsequent alarm count statistics. For example, if the CPU utilization rate exceeds the threshold (99%) for an extended period, the CPU utilization rate will be converted into alarm data, with the alarm type being CPU anomaly, the alarm level being high, and the occurrence and end times determined by the start and end times of the CPU utilization rate reaching 99%.

[0024] It is understandable that alarm data is data generated by the device itself actively triggering an alarm, while operating status data is used to reflect the real-time operating status of the device. When the operating status data is abnormal, it is converted into alarm data, so the number of alarms of the device can be counted from multiple dimensions. The statistics of the number of alarms are more consistent with the current real status of the device, that is, the statistics of the number of alarms are more accurate.

[0025] Step S120: Count the number of alarms within each maintenance cycle. The number of alarms includes the sum of the number of received alarm data and the number of operating status data exceeding the status threshold. It can be understood that the status threshold includes a status data value threshold and / or a duration threshold. For example, regarding the CPU utilization rate mentioned above, if the CPU utilization rate reaches 99% and the duration exceeds a preset time threshold, then the CPU utilization rate is considered to have exceeded its status threshold.

[0026] In this step, by statistically analyzing the number of alarms within each maintenance cycle (e.g., week, month, or quarter), we can more clearly observe the long-term trend of the number of alarms and determine whether the number of alarms is increasing, decreasing, or remaining stable.

[0027] Step S130: Determine the values ​​of multiple health evaluation indicators based on the number of alarms. In this step, each health evaluation indicator is a statistical indicator based on the number of alarms. Different health evaluation indicators can reflect the health status of the equipment from different perspectives.

[0028] Step S140: Substitute the values ​​of each health evaluation indicator into the health evaluation model to obtain the equipment's health score. The health evaluation model is determined based on a score table for each health evaluation indicator, which records the value range of each health evaluation indicator and the corresponding score. The score tables for different health evaluation indicators can be obtained by experts evaluating the equipment's historical health indicators and historical health status.

[0029] In this step, the health of the equipment is evaluated from multiple aspects using various health evaluation indicators, making the health evaluation of the equipment more accurate.

[0030] In the equipment health evaluation method of this embodiment, the number of alarms in each maintenance cycle is counted based on the equipment's alarm data and operating status data, making the alarm count more accurate. Furthermore, multiple health evaluation indicators are determined based on the number of alarms, and a health evaluation model is obtained by combining the score table of each health evaluation indicator. This realizes the evaluation of equipment health by multiple health evaluation indicators, that is, the evaluation of equipment health from multiple dimensions, making the equipment health evaluation more accurate.

[0031] In some embodiments, the health assessment model is a summation model of the scores of each health assessment indicator, i.e., the health assessment model formula is as follows: S = S1 + S2 + ... + Sn. Wherein, S is the health score, and S1~Sn are the scores of the n health assessment indicators in their respective score tables.

[0032] Based on the health assessment model, step S140 specifically includes: finding the score corresponding to the index value in the corresponding score table based on the index value of each health assessment index, i.e., searching for S1~Sn; summing the scores of each health assessment index to obtain the health score S of the equipment.

[0033] In some embodiments, the health assessment model is a weighted summation model of the scores of each health assessment indicator and its corresponding weight. That is, the formula for the health assessment model is as follows: S = S1 × Q1 + S2 × Q2 + ... + Sn × Qn. Where S is the health score, S1~Sn are the scores of the n health assessment indicators in their respective score tables, and Q1~Qn are the weights of the n health assessment indicators. In this embodiment, the indicator weights reflect the degree of influence of the corresponding health assessment indicator on the equipment health. The weights of each health assessment indicator can be determined through expert evaluation, data analysis, or machine learning algorithms (such as analytic hierarchy process, principal component analysis, etc.). Expert evaluation involves experts setting weights based on the on-site equipment operation and the current health assessment indicators. For example, if a small change in the value of a certain health assessment indicator leads to a large change in the equipment's operating status data, then the weight of that certain health assessment indicator is larger.

[0034] Based on this health assessment model, the health score of the device is obtained by summing the scores of each health assessment indicator, including: weighted summation of the scores of each health assessment indicator and the corresponding indicator weights.

[0035] In this embodiment, based on the degree of influence of each health evaluation index on the equipment health, corresponding index weights are assigned to the health evaluation indexes, and a health evaluation model is established by weighting the scores of each health evaluation index value and the weighted sum of each index weight. Using this health evaluation model improves the accuracy and interpretability of the health evaluation.

[0036] In some embodiments, the health evaluation indicators include: alarm frequency growth rate, high-level alarm percentage, and frequency of key alarm types.

[0037] The alarm frequency growth rate represents the increase in the number of alarms in the current maintenance cycle relative to the number of alarms in the previous maintenance cycle. The alarm frequency growth rate reflects the increasing trend of alarms in the current maintenance cycle compared to the previous maintenance cycle. If the growth rate is positive and the larger it is, the more it indicates a decline in the health status of the equipment.

[0038] The high-level alarm percentage represents the proportion of high-level alarms out of all alarms during the current maintenance cycle. High-level alarms include at least the highest-level alarm. Since higher alarm levels indicate a greater impact of the corresponding fault on the equipment's health, a higher percentage of high-level alarms indicates a poorer equipment health.

[0039] The frequency of critical alarm types indicates the preset alarm frequency of critical alarm types within the current maintenance cycle. It can be understood that the failure frequency of the faults corresponding to critical alarm types has a significant impact on the equipment; the higher the failure frequency, the worse the equipment health.

[0040] For example, the weights of the alarm frequency growth rate, the proportion of high-level alarms, and the frequency of key alarm types are 0.3, 0.4, and 0.3, respectively.

[0041] For the scoring table of alarm frequency growth rate, the higher the alarm frequency growth rate, the lower the score; for the proportion of high-level alarms, the larger the proportion value, the lower the score; for the frequency of key alarm types, the larger the frequency value, the lower the score.

[0042] It should be noted that this invention does not limit the use of the above three health evaluation indicators to score the health of equipment.

[0043] In some embodiments, after step S140, the method further includes: analyzing the trend of the number of alarms; and outputting a warning prompt for inspecting and repairing the equipment when the health score is lower than a preset first score threshold and the trend of the number of alarms is increasing. Alternatively, outputting a warning prompt for inspecting and repairing the equipment when the health score is lower than a preset second score threshold, wherein, for the same equipment, the second score threshold is less than the first score threshold. The score thresholds corresponding to different equipment can also be different, specifically determined according to the importance level and / or geographical location of different equipment in the entire system. For equipment with higher importance level or more important geographical location, the corresponding first score threshold and second score threshold are both set higher.

[0044] In this embodiment, when the health score of the device is lower than the preset first score threshold and the number of alarms is increasing, it indicates that the health status of the device is gradually declining. Although it has not reached the critical value of health (i.e., the second score threshold), the device health status is still gradually declining, so an early warning prompt for inspection and maintenance of the device is output in advance, which makes it easier for maintenance personnel to inspect and maintain the device in advance and avoid equipment failure.

[0045] In some embodiments, the equipment health assessment method further includes: displaying the number of alarms and various health assessment indicators using statistical charts. In this embodiment, the changes in the number of alarms and various health assessment indicators are visualized, allowing the equipment health score results and related alarm trend information to be presented to maintenance personnel in intuitive charts (such as bar charts, line charts, radar charts, etc.). For example, line charts can be used to show the changing trends of the equipment's health score in different maintenance cycles, and line charts can also be used to show the changing trends of the number of alarms in different maintenance cycles. Radar charts can be used to show the relative status of each health assessment indicator. By observing the health changes of the equipment during the maintenance cycle, a reliable basis is provided for maintenance personnel to perform maintenance and repairs, facilitating a quick understanding of the equipment's true health status.

[0046] The equipment health evaluation device provided by the present invention will be described below. The equipment health evaluation device described below can be referred to in correspondence with the equipment health evaluation method described above.

[0047] The device health assessment device of this invention, such as Figure 2 As shown, it includes the following modules: The data acquisition module 210 is used to acquire the device's operating status data and alarm data in real time.

[0048] The alarm count statistics module 220 is used to count the number of alarms in each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold.

[0049] The indicator value determination module 230 is used to determine the indicator values ​​of multiple health evaluation indicators based on the number of alarms.

[0050] The scoring module 240 is used to substitute the index values ​​of each health evaluation indicator into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation indicator, and the score table records the value range of the health evaluation indicator and the score value corresponding to the value range.

[0051] The equipment health evaluation device in this embodiment counts the number of alarms during each maintenance cycle based on the equipment's alarm data and operating status data, making the alarm count more accurate. Furthermore, it determines multiple health evaluation indicators based on the number of alarms and combines them with a health evaluation model determined by the scoring table of each health evaluation indicator to obtain the equipment's health score. This enables the evaluation of equipment health from multiple dimensions, making the equipment health evaluation more accurate.

[0052] In some embodiments, the health assessment model is a summation model of the scores of the indicator values ​​of each health assessment indicator.

[0053] The scoring module 240 specifically includes: The score lookup module is used to find the score corresponding to the indicator value in the corresponding score table based on the indicator value of each health evaluation indicator.

[0054] The summation scoring module is used to sum the scores of each health evaluation indicator to obtain the health score of the device.

[0055] In some embodiments, the health assessment model is a weighted summation model of the scores of each health assessment indicator and the corresponding indicator weights.

[0056] The summation scoring module is specifically used to sum the scores of each health evaluation indicator with their corresponding indicator weights to obtain the health score of the device.

[0057] In some embodiments, the health evaluation indicators include: alarm frequency growth rate, high-level alarm percentage, and frequency of key alarm types.

[0058] The alarm frequency growth rate represents the growth rate of the number of alarms in the current maintenance cycle relative to the number of alarms in the previous maintenance cycle.

[0059] The percentage of high-level alarms indicates the proportion of high-level alarms to all alarms within the current maintenance cycle. High-level alarms include at least the alarms with the highest alarm level.

[0060] The frequency of critical alarm types indicates the alarm frequency of the preset critical alarm types within the current maintenance cycle.

[0061] In some embodiments, the device health assessment device further includes: a prompt output module, configured to, after substituting the index values ​​of each health assessment indicator into the health assessment model to obtain the device health score, analyze the trend of the number of alarms, and output a warning prompt for inspection and maintenance of the device when the health score is lower than a preset first score threshold and the trend of the number of alarms is increasing; or, output a warning prompt for inspection and maintenance of the device when the health score is lower than a preset second score threshold, wherein, for the same device, the second score threshold is less than the first score threshold.

[0062] In some embodiments, the device health evaluation device further includes a graphical display module for displaying the number of alarms and various health evaluation indicators in a statistical chart.

[0063] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a device health evaluation method, which includes: Real-time acquisition of equipment operating status data and alarm data.

[0064] The alarm count is calculated for each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold.

[0065] The values ​​of multiple health evaluation indicators are determined based on the number of alarms.

[0066] The health evaluation index values ​​of each health evaluation index are substituted into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation index, and the score table records the value range of the health evaluation index and the score value corresponding to the value range.

[0067] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0068] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program that can be stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is able to execute the device health evaluation method provided by the above methods, the method comprising: Real-time acquisition of equipment operating status data and alarm data.

[0069] The alarm count is calculated for each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold.

[0070] The values ​​of multiple health evaluation indicators are determined based on the number of alarms.

[0071] The health evaluation index values ​​of each health evaluation index are substituted into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation index, and the score table records the value range of the health evaluation index and the score value corresponding to the value range.

[0072] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the device health evaluation method provided by the methods described above, the method comprising: Real-time acquisition of equipment operating status data and alarm data.

[0073] The alarm count is calculated for each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold.

[0074] The values ​​of multiple health evaluation indicators are determined based on the number of alarms.

[0075] The health evaluation index values ​​of each health evaluation index are substituted into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation index, and the score table records the value range of the health evaluation index and the score value corresponding to the value range.

[0076] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0077] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating equipment health, characterized in that, include: Real-time acquisition of equipment operating status data and alarm data; The alarm count is calculated for each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold. The values ​​of multiple health evaluation indicators are determined based on the number of alarms. The health evaluation index values ​​of each health evaluation index are substituted into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation index, and the score table records the value range of the health evaluation index and the score value corresponding to the value range.

2. The equipment health evaluation method according to claim 1, characterized in that, The health assessment model is a summation model of the scores of the indicator values ​​of each health assessment indicator; Substituting the values ​​of each health evaluation indicator into the health evaluation model yields the equipment's health score, including: Based on the index values ​​of each health evaluation indicator, find the score corresponding to the index value in the corresponding score table; The health score of the equipment is obtained by summing the scores of each health evaluation indicator.

3. The equipment health evaluation method according to claim 2, characterized in that, The health assessment model is a weighted summation model of the scores of each health assessment indicator and the corresponding indicator weights. The health score of the equipment is obtained by summing the scores of each health evaluation indicator, including: the health score of the equipment is obtained by weighted summing of the scores of each health evaluation indicator and the corresponding indicator weights.

4. The equipment health evaluation method according to claim 1, characterized in that, The health evaluation indicators include: alarm frequency growth rate, high-level alarm percentage, and frequency of key alarm types; The alarm frequency growth rate represents the growth rate of the number of alarms in the current maintenance cycle relative to the number of alarms in the previous maintenance cycle. The percentage of high-level alarms indicates the proportion of high-level alarms to all alarms during the current maintenance cycle. High-level alarms include at least the alarms with the highest alarm level. The frequency of critical alarm types indicates the alarm frequency of the preset critical alarm types within the current maintenance cycle.

5. The equipment health evaluation method according to claim 1, characterized in that, After substituting the values ​​of each health evaluation indicator into the health evaluation model to obtain the equipment's health score, the following steps are also included: Analyze the trend of the number of alarms, and when the health score is lower than a preset first score threshold and the number of alarms is increasing, output an early warning prompt for checking and repairing the equipment. Alternatively, if the health score is lower than a preset second score threshold, an early warning prompt for inspection and repair of the equipment is output, wherein for the same equipment, the second score threshold is less than the first score threshold.

6. The equipment health evaluation method according to any one of claims 1 to 5, characterized in that, Also includes: The number of alarms and various health evaluation indicators are displayed in a statistical chart.

7. A device for evaluating equipment health, characterized in that, include: The data acquisition module is used to acquire real-time operating status data and alarm data of the equipment; The alarm count module is used to count the number of alarms in each maintenance cycle. The alarm count includes the sum of the number of alarm data received and the number of operating status data exceeding the status threshold. The indicator value determination module is used to determine the indicator values ​​of multiple health evaluation indicators based on the number of alarms. The scoring module is used to input the index values ​​of each health evaluation indicator into the health evaluation model to obtain the health score of the equipment. The health evaluation model is determined based on the score table of each health evaluation indicator, and the score table records the value range of the health evaluation indicator and the score value corresponding to the value range.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the device health evaluation method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the device health evaluation method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the device health evaluation method as described in any one of claims 1 to 6.

Images