A method for diagnosing health status of electrical equipment

Abstract

The present invention provides a method for diagnosing the health of electric equipment, comprising the following steps: step S1, selecting electric equipment to be maintained, and outputting it as initial electric equipment; step S2, obtaining the first-level electric equipment connected to the initial electric equipment, and obtaining the second-level electric equipment connected to the first-level electric equipment, and so on to obtain multi-level electric equipment; step S3, constructing multiple maintenance paths in the order of initial electric equipment, first-level electric equipment, second-level electric equipment to multi-level electric equipment; step S4, selecting the maintenance path with the largest correlation value, and evaluating the health of all electric equipment in the maintenance path; step S5, arranging the maintenance priority of the electric equipment on the maintenance path based on the health evaluation result, and by simultaneously maintaining and repairing the initial electric equipment and the electric equipment with the worst health associated with the initial electric equipment, it is possible to ensure power safety and prevent other electric equipment from affecting the initial electric equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment management, and in particular to a method for diagnosing the health of electrical equipment. Background Art

[0002] With the rapid development of science and technology and the increasing complexity of industrial production, electrical equipment plays a vital role in various fields. However, the long-term operation of equipment and the complex working environment often lead to its performance degradation, frequent failures, and may even cause safety accidents, posing a serious threat to the normal production of enterprises and the safety of personnel. Therefore, how to accurately and efficiently diagnose the health of electrical equipment and prevent potential failures has become a problem that needs to be solved urgently in the current industrial field.

[0003] At present, when diagnosing and evaluating the health of electrical equipment, most of the health diagnosis is only performed on the electrical equipment itself. In some industrial areas, most of the electrical equipment will be concentrated in the same area for use, and some electrical equipment will be interdependent. At the same time, electrical equipment will have an impact on the environment when in use, and environmental changes will have an impact on other electrical equipment. In addition, there will be resource sharing between electrical equipment. When an electrical equipment uses too many resources, it will have an impact on related electrical equipment. However, the current health diagnosis only diagnoses a single electrical equipment, and does not take into account the usage status of related electrical equipment. When only a single electrical equipment with poor health is repaired and maintained, there will still be some safety hazards. Summary of the invention

[0004] In view of this, the present invention proposes a method for diagnosing the health of electrical equipment, which can obtain other electrical equipment with a high correlation with the electrical equipment to be maintained, and then arrange the maintenance priorities according to the health evaluation, so as to facilitate unified maintenance of multiple electrical equipment and reduce safety hazards.

[0005] The technical solution of the present invention is achieved in this way:

[0006] A method for diagnosing the health of an electrical device comprises the following steps:

[0007] Step S1, selecting the electrical equipment to be maintained and outputting it as the initial electrical equipment;

[0008] Step S2, obtaining a primary power-consuming device connected to the initial power-consuming device, and obtaining a secondary power-consuming device connected to the primary power-consuming device, and so on to obtain multiple levels of power-consuming devices;

[0009] Step S3, constructing multiple maintenance paths in the order of initial power-consuming equipment, primary power-consuming equipment, secondary power-consuming equipment, and multi-level power-consuming equipment;

[0010] Step S4: Select the maintenance path with the largest correlation value, and evaluate the health of all electrical equipment in the maintenance path;

[0011] Step S5: Arrange the maintenance priorities of the electrical equipment on the maintenance path based on the health evaluation results.

[0012] Preferably, the specific steps of step S1 are:

[0013] Step S11, determining the power consumption area that needs to be repaired and maintained, and obtaining a device connection topology diagram of the power consumption area;

[0014] Step S12: Select the power-consuming equipment to be maintained from the equipment connection topology diagram, and output it as the initial power-consuming equipment.

[0015] Preferably, the step S12 of selecting the electrical equipment to be maintained includes subjective selection and objective selection, and the subjective selection is that the staff actively selects the electrical equipment; the specific steps of the objective selection are: obtaining the working time and maintenance cycle table of all electrical equipment in the equipment connection topology diagram, and searching the maintenance cycle table for the electrical equipment to be maintained according to the working time.

[0016] Preferably, the specific steps of step S2 are:

[0017] Step S21, searching the primary power-consuming device connected to the initial power-consuming device from the device connection topology map;

[0018] Step S22: Find the second-level power-consuming device connected to the first-level power-consuming device from the device connection topology map, and find multiple levels of power-consuming devices by analogy;

[0019] Step S23: determine whether there is a power usage overlap time period for adjacent-level power consumption equipment through the power consumption history data of the power consumption area in recent time, and remove the subsequent-level power consumption equipment that does not have a power usage overlap time period.

[0020] Preferably, the specific steps of step S3 are:

[0021] Step S31, starting from the initial power-consuming device, randomly selecting a primary power-consuming device for connection;

[0022] Step S32: Select the second-level electrical equipment in order, and select multiple levels of electrical equipment in the same manner until the last level of electrical equipment is selected, and output the connection of the electrical equipment as a maintenance path;

[0023] Step S33, repeat step S31-step S32, and obtain multiple maintenance paths.

[0024] Preferably, the specific steps of selecting the maintenance path with the greatest correlation in step S4 are:

[0025] Step S41, obtaining the mutual dependence, shared resource status and whether the adjacent electrical devices on the maintenance path are in the same environment;

[0026] Step S42: Pack the interdependence, shared resource status and whether adjacent electrical devices on the maintenance path are in the same environment into evaluation parameters and input them into the Grey Wolf Optimization Algorithm;

[0027] Step S43: The Grey Wolf Optimization Algorithm optimizes all maintenance paths to obtain a maintenance path with the maximum correlation value.

[0028] Preferably, the specific steps of step S43 are:

[0029] Step S431, initializing the gray wolf population and the number of iterations;

[0030] Step S432: randomly select a maintenance path, and calculate the fitness value of the gray wolf based on the evaluation parameters;

[0031] Step S433, selecting another maintenance path, and after calculating the fitness value, comparing it with the fitness value calculated last time, and retaining the maintenance path with the larger fitness value;

[0032] Step S434: perform iterative calculations and output the maintenance path with the largest fitness value as the maintenance path with the largest correlation.

[0033] Preferably, the number of iterations is the number of maintenance paths.

[0034] Preferably, the specific steps of evaluating the satisfaction of all electrical equipment in the maintenance path in step S4 are:

[0035] Step S44, obtaining basic information, operating time and fault maintenance records of the electrical equipment on the maintenance path with the greatest correlation;

[0036] Step S45, obtaining the fault type, fault downtime and repair time based on the fault repair record;

[0037] Step S46, calculating the average failure rate according to the failure downtime and the operating time, and calculating the average maintenance rate according to the maintenance time and the operating time;

[0038] Step S47: Evaluate the health of the electrical equipment based on the average failure rate and the average maintenance rate.

[0039] Preferably, the specific steps of step S5 are: sorting the other electrical equipment on the maintenance path except the initial electrical equipment in descending order according to the health of the electrical equipment.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] A method for diagnosing the health of electrical equipment of the present invention first determines the electrical equipment to be maintained and sets it as the initial electrical equipment. Starting from the initial electrical equipment, first-level electrical equipment, second-level electrical equipment, to multi-level electrical equipment are selected in sequence, and after connecting to form a maintenance path, the correlation of the maintenance path is evaluated. Then, after selecting the maintenance path with the largest correlation, the electrical equipment directly or indirectly related to the initial electrical equipment can be obtained, and then the health of all electrical equipment on the maintenance path can be evaluated. Finally, the electrical equipment can be sorted according to the health so that the electrical equipment can be repaired and maintained according to the priority of the arrangement. Not only the electrical equipment to be maintained can be maintained, but also other electrical equipment that may affect the electrical equipment to be maintained can be repaired and maintained, thereby improving the safety of the use of electrical equipment on the entire maintenance path. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A flow chart of a method for diagnosing the health of electrical equipment according to the present invention;

[0044] Figure 2 This is a flow chart of step S1 of a method for diagnosing the health of an electrical device according to the present invention;

[0045] Figure 3 This is a flow chart of step S2 of a method for diagnosing the health of an electrical device according to the present invention;

[0046] Figure 4 This is a flow chart of step S3 of a method for diagnosing the health of an electrical device according to the present invention;

[0047] Figure 5 This is a flow chart of step S4 of a method for diagnosing the health of an electrical device according to the present invention;

[0048] Figure 6 This is a flow chart of step S43 of a method for diagnosing the health of electrical equipment of the present invention. DETAILED DESCRIPTION

[0049] In order to better understand the technical content of the present invention, a specific embodiment is provided below, and the present invention is further described in conjunction with the accompanying drawings.

[0050] See also Figures 1 to 6 The present invention provides a method for diagnosing the health of an electric device, comprising the following steps:

[0051] Step S1, selecting the electrical equipment to be maintained and outputting it as the initial electrical equipment;

[0052] Step S2, obtaining a primary power-consuming device connected to the initial power-consuming device, and obtaining a secondary power-consuming device connected to the primary power-consuming device, and so on to obtain multiple levels of power-consuming devices;

[0053] Step S3, constructing multiple maintenance paths in the order of initial power-consuming equipment, primary power-consuming equipment, secondary power-consuming equipment, and multi-level power-consuming equipment;

[0054] Step S4: Select the maintenance path with the largest correlation value, and evaluate the health of all electrical equipment in the maintenance path;

[0055] Step S5: Arrange the maintenance priorities of the electrical equipment on the maintenance path based on the health evaluation results.

[0056] A method for diagnosing the health of electrical equipment of the present invention is used to detect the operating status of electrical equipment during operation. First, the electrical equipment that needs maintenance is determined according to demand, and the electrical equipment to be maintained is output as the initial electrical equipment. Then, based on the initial electrical equipment, other electrical equipment associated with it can be determined, and the health of the initial electrical equipment and other electrical equipment is diagnosed. According to the diagnosis result, the initial electrical equipment and other electrical equipment with a high degree of association are repaired and maintained, which can ensure the safe use of the initial electrical equipment itself and prevent the failure of other electrical equipment from affecting the initial electrical equipment.

[0057] After obtaining the initial power-consuming equipment, obtain the first-level power-consuming equipment connected to the initial power-consuming equipment, and then obtain the second-level power-consuming equipment connected to the first-level power-consuming equipment, and so on, to obtain multi-level power-consuming equipment, and then after connecting the power-consuming equipment in the order of initial, first-level, second-level and multi-level, you can get multiple maintenance paths, each maintenance path includes the initial power-consuming equipment and several levels of power-consuming equipment, for each maintenance path, calculate its correlation, and then select the maintenance path with the largest correlation, the power-consuming equipment on this maintenance path has a large correlation, one of the power-consuming equipment has a poor health and an abnormality, it will affect other power-consuming equipment, so the health of the power-consuming equipment on the entire maintenance path is evaluated, and then the maintenance priority is arranged based on the health, among which the power-consuming equipment with a higher priority can be repaired and maintained first to avoid affecting other power-consuming equipment and ensure power safety.

[0058] Preferably, the specific steps of step S1 are:

[0059] Step S11, determining the power consumption area that needs to be repaired and maintained, and obtaining a device connection topology diagram of the power consumption area;

[0060] Step S12, select the electrical equipment to be maintained from the device connection topology map, and output it as the initial electrical equipment. The step S12 selects the electrical equipment to be maintained, including subjective selection and objective selection. The subjective selection is that the staff actively selects the electrical equipment; the specific steps of the objective selection are: obtain the working time and maintenance cycle table of all electrical equipment in the device connection topology map, and find the electrical equipment to be maintained according to the maintenance cycle table based on the working time.

[0061] When selecting the initial power equipment, it is necessary to first determine the power area that needs to be repaired and maintained to avoid searching for power equipment in an entire large area and improve efficiency. After obtaining the equipment connection topology map of the power area, the specific location of the initial power equipment can be found from the equipment connection topology map. There are two ways to select the initial power equipment, namely subjective selection and objective selection. Subjective selection is the selection of power equipment by staff based on actual on-site operating conditions, while objective selection is based on the maintenance cycle of the power equipment. Subjective selection has a higher priority than objective selection. When there is no subjective selection, the power equipment to be maintained will be searched.

[0062] Preferably, the specific steps of step S2 are:

[0063] Step S21, searching the primary power-consuming device connected to the initial power-consuming device from the device connection topology map;

[0064] Step S22: Find the second-level power-consuming device connected to the first-level power-consuming device from the device connection topology map, and find multiple levels of power-consuming devices by analogy;

[0065] Step S23: determine whether there is a power usage overlap time period for adjacent-level power consumption equipment through the power consumption history data of the power consumption area in recent time, and remove the subsequent-level power consumption equipment that does not have a power usage overlap time period.

[0066] In the device connection topology diagram, after the initial power-consuming device is determined, the first-level power-consuming device connected to it can be obtained according to the line connection diagram. Similarly, the second-level power-consuming device and multi-level power-consuming device can be obtained according to the line connection diagram. Although there is a connection relationship between some power-consuming devices, their power consumption time may be completely staggered. Therefore, it is difficult for these power-consuming devices to have a relationship with each other during operation. Therefore, after obtaining other power-consuming devices with a connection relationship, the power consumption history data of the adjacent power-consuming devices is obtained to determine whether there is a time period of overlapping power consumption. If there is no time period of overlapping power consumption, it can be explained that there is no direct influence relationship between the two power-consuming devices, and then the subsequent power-consuming devices can be eliminated to reduce the number of subsequent maintenance paths.

[0067] Preferably, the specific steps of step S3 are:

[0068] Step S31, starting from the initial power-consuming device, randomly selecting a primary power-consuming device for connection;

[0069] Step S32: Select the second-level electrical equipment in order, and select multiple levels of electrical equipment in the same manner until the last level of electrical equipment is selected, and output the connection of the electrical equipment as a maintenance path;

[0070] Step S33, repeat step S31-step S32, and obtain multiple maintenance paths.

[0071] In order to obtain the most accurate diagnosis results, it is necessary to ensure that every electrical device is connected. Therefore, the electrical devices are arranged and combined by random selection, and the steps are repeated, and then several maintenance paths can be obtained.

[0072] Preferably, the specific steps of selecting the maintenance path with the greatest correlation in step S4 are:

[0073] Step S41, obtaining the mutual dependence, shared resource status and whether the adjacent electrical devices on the maintenance path are in the same environment;

[0074] Step S42: Pack the interdependence, shared resource status and whether adjacent electrical devices on the maintenance path are in the same environment into evaluation parameters and input them into the Grey Wolf Optimization Algorithm;

[0075] Step S43: The Grey Wolf Optimization Algorithm optimizes all maintenance paths to obtain a maintenance path with the maximum correlation value.

[0076] After obtaining several maintenance paths, it is necessary to optimize the maintenance paths, wherein the maintenance path with the greatest correlation needs to be selected. When judging whether the correlation between electrical devices is large, the criteria for judgment are: whether the electrical devices are interdependent, whether there are many shared resources, and whether they are in the same environment. These evaluation parameters are input into the Gray Wolf Optimization Algorithm, and the Gray Wolf Optimization Algorithm can be optimized to obtain the maintenance path with the greatest correlation. The specific steps of step S43 are:

[0077] Step S431, initializing the gray wolf population and the number of iterations, where the number of iterations is the number of maintenance paths;

[0078] Step S432: randomly select a maintenance path, and calculate the fitness value of the gray wolf based on the evaluation parameters;

[0079] Step S433, selecting another maintenance path, and after calculating the fitness value, comparing it with the fitness value calculated last time, and retaining the maintenance path with the larger fitness value;

[0080] Step S434: perform iterative calculations and output the maintenance path with the largest fitness value as the maintenance path with the largest correlation.

[0081] After initializing the gray wolf population, a maintenance path is randomly selected, and then the fitness value is calculated based on the evaluation parameters. At the same time, the fitness value of each maintenance path is calculated and compared. Then, the maintenance path with the largest fitness value is output as the maintenance path with the largest correlation. The number of iterations is the number of maintenance paths. The fitness values ​​of all maintenance paths can be calculated through the number of iterations, so as to accurately obtain the maintenance path with the largest correlation.

[0082] Preferably, the specific steps of evaluating the satisfaction of all electrical equipment in the maintenance path in step S4 are:

[0083] Step S44, obtaining basic information, operating time and fault maintenance records of the electrical equipment on the maintenance path with the greatest correlation;

[0084] Step S45, obtaining the fault type, fault downtime and repair time based on the fault repair record;

[0085] Step S46, calculating the average failure rate according to the failure downtime and the operating time, and calculating the average maintenance rate according to the maintenance time and the operating time;

[0086] Step S47: Evaluate the health of the electrical equipment based on the average failure rate and the average maintenance rate.

[0087] After obtaining the maintenance path with the highest correlation, it is necessary to evaluate the health of all electrical equipment on the maintenance path. The present invention uses the average failure rate and the average maintenance rate to calculate the health evaluation. Therefore, the operating time and fault repair records of all electrical equipment on the maintenance path are first obtained, and then the average failure rate and the average maintenance rate are calculated to evaluate the health of the electrical equipment.

[0088] Preferably, the specific steps of step S5 are: sorting the other electrical equipment on the maintenance path except the initial electrical equipment in descending order according to the health of the electrical equipment.

[0089] Electrical equipment other than the initial electrical equipment can be ranked according to their health, and the electrical equipment with the highest ranking is the equipment that urgently needs repair and maintenance. Therefore, the electrical equipment with the highest priority can be repaired and maintained first according to the ranking result. At the same time, the initial electrical equipment can also be ranked. By simultaneously repairing and maintaining the initial electrical equipment itself and the electrical equipment with the highest correlation with the initial electrical equipment, complete electrical safety can be guaranteed.

[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for diagnosing the health of electrical equipment, It is characterized in that The following steps are involved: Step S1, selecting the electrical equipment to be maintained and outputting it as the initial electrical equipment; Step S2, obtaining a primary power-consuming device connected to the initial power-consuming device, and obtaining a secondary power-consuming device connected to the primary power-consuming device, and so on to obtain multiple levels of power-consuming devices; Step S3, constructing multiple maintenance paths in the order of initial power-consuming equipment, primary power-consuming equipment, secondary power-consuming equipment, and multi-level power-consuming equipment; Step S4: Select the maintenance path with the largest correlation value, and evaluate the health of all electrical equipment in the maintenance path; Step S5: arranging maintenance priorities of the electrical equipment on the maintenance path based on the health evaluation results; The specific steps of selecting the maintenance path with the greatest correlation in step S4 are: Step S41, obtaining the mutual dependence, shared resource status and whether the adjacent electrical devices on the maintenance path are in the same environment; Step S42: Pack the interdependence, shared resource status and whether adjacent electrical devices on the maintenance path are in the same environment into evaluation parameters and input them into the Grey Wolf Optimization Algorithm; Step S43: The Grey Wolf Optimization Algorithm optimizes all maintenance paths to obtain the maintenance path with the largest correlation value; The specific steps of evaluating the satisfaction of all electrical equipment in the maintenance path in step S4 are: Step S44, obtaining basic information, operating time and fault maintenance records of the electrical equipment on the maintenance path with the greatest correlation; Step S45, obtaining the fault type, fault downtime and repair time based on the fault repair record; Step S46, calculating the average failure rate according to the failure downtime and the operating time, and calculating the average maintenance rate according to the maintenance time and the operating time; Step S47: Evaluate the health of the electrical equipment based on the average failure rate and the average maintenance rate.

2. A method for diagnosing the health of electrical equipment according to claim 1, It is characterized in that The specific steps of step S1 are: Step S11, determining the power consumption area that needs to be repaired and maintained, and obtaining a device connection topology diagram of the power consumption area; Step S12: Select the power-consuming equipment to be maintained from the equipment connection topology diagram, and output it as the initial power-consuming equipment.

3. A method for diagnosing the health of electrical equipment according to claim 2, It is characterized in that The step S12 selects the electrical equipment to be maintained, including subjective selection and objective selection. The subjective selection is that the staff actively selects the electrical equipment; the specific steps of the objective selection are: obtaining the working time and maintenance cycle table of all electrical equipment in the equipment connection topology diagram, and finding the electrical equipment to be maintained in the maintenance cycle table according to the working time.

4. A method for diagnosing the health of electrical equipment according to claim 2, It is characterized in that The specific steps of step S2 are: Step S21, searching the primary power-consuming device connected to the initial power-consuming device from the device connection topology map; Step S22: Find the second-level power-consuming device connected to the first-level power-consuming device from the device connection topology map, and so on to find multiple levels of power-consuming devices; Step S23: determine whether there is a power usage overlap time period for adjacent-level power consumption equipment through the power consumption history data of the power consumption area in recent time, and remove the subsequent-level power consumption equipment that does not have a power usage overlap time period.

5. A method for diagnosing the health of electrical equipment according to claim 1, It is characterized in that The specific steps of step S3 are: Step S31, starting from the initial power-consuming device, randomly selecting a primary power-consuming device for connection; Step S32: Select the second-level electrical equipment in order, and select multiple levels of electrical equipment in the same manner until the last level of electrical equipment is selected, and output the connection of the electrical equipment as a maintenance path; Step S33, repeat step S31-step S32, and obtain multiple maintenance paths.

6. A method for diagnosing the health of electrical equipment according to claim 1, It is characterized in that The specific steps of step S43 are: Step S431, initializing the gray wolf population and the number of iterations; Step S432: randomly select a maintenance path, and calculate the fitness value of the gray wolf based on the evaluation parameters; Step S433, selecting another maintenance path, and after calculating the fitness value, comparing it with the fitness value calculated last time, and retaining the maintenance path with the larger fitness value; Step S434: perform iterative calculations and output the maintenance path with the largest fitness value as the maintenance path with the largest correlation.

7. A method for diagnosing the health of electrical equipment according to claim 6, It is characterized in that The number of iterations is the number of maintenance paths.

8. A method for diagnosing the health of electrical equipment according to claim 1, It is characterized in that The specific steps of step S5 are: sorting the other electrical devices on the maintenance path except the initial electrical device in descending order according to the health of the electrical devices.

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