Monitoring and analyzing system of high-precision power line state indicator

Abstract

The invention provides a monitoring analysis system of a high-precision power line state indicator, and belongs to the technical field of state indicator data analysis. A monitoring analysis system of a high-precision power line state indicator comprises a data acquisition module, a fault analysis module and a data output module. The data acquisition module is used for acquiring power line periodic maintenance time data and equipment fault data; the fault analysis module is configured to perform matching from a preset historical fault database based on the equipment fault data to obtain historical fault equipment maintenance record data; analyzing and determining fault equipment safety time data according to the historical fault equipment maintenance record data; determining periodic maintenance equipment list data according to the fault equipment safety time data and the power line periodic maintenance time data; the data output module is used for outputting periodic maintenance equipment list data; by adopting the scheme, the analysis of the fault data displayed by the state indicator is realized, the overhaul times are reduced, and the overhaul cost is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of status indicator data analysis, and in particular to a monitoring and analysis system for a high-precision power line status indicator. Background Art

[0002] A status indicator is a device used to monitor and display the status of high-voltage electrical equipment. The status display can be used to view the switch status, energy storage status, energized status, locked status, communication status, operating parameters, faults, etc. of the electrical equipment bound to the status display. For high-precision power line equipment, when the bound status display outputs fault information, it indicates that the equipment has an abnormal situation and manpower needs to be dispatched for inspection and maintenance. However, there are many devices in the power line, and using this method will consume more resources. Summary of the invention

[0003] The present application provides a monitoring and analysis system for a high-precision power line status indicator, which can reduce resource consumption in power line fault inspection and repair.

[0004] The present application provides a monitoring and analysis system for a high-precision power line status indicator. The system comprises a data acquisition module, a fault analysis module and a data output module;

[0005] The data acquisition module is used to acquire power line periodic maintenance time data and equipment failure data;

[0006] The fault analysis module is configured to:

[0007] Based on the equipment failure data, historical fault equipment maintenance record data is obtained by matching from a preset historical fault database;

[0008] Determine the safety time data of the faulty equipment according to the historical faulty equipment maintenance record data analysis;

[0009] Determine the periodic maintenance equipment list data according to the faulty equipment safety time data and the power line periodic maintenance time data;

[0010] The data output module is used to output the periodic maintenance equipment list data.

[0011] By adopting the above technical scheme, basic information of equipment failure can be obtained based on the status indicator; by analyzing the equipment failure, the corresponding historical fault equipment maintenance records are matched from the historical fault database, and the safe waiting time of the faulty equipment is determined based on the analysis of the historical fault equipment maintenance records, and then the safe waiting time is analyzed together with the periodic maintenance time to determine the periodic maintenance equipment; finally, the determined periodic maintenance equipment is output as the periodic maintenance equipment list data; in this way, some equipment that needs to be repaired separately for failure can be divided into the periodic maintenance work, which reduces the number of separate maintenance times and reduces the maintenance cost.

[0012] Furthermore, the fault analysis module is further configured to: determine the fault equipment safety time data according to the historical fault equipment maintenance record data analysis, including:

[0013] Determine the faulty equipment waiting time and the faulty equipment maintenance data according to the historical faulty equipment maintenance record data;

[0014] Determine the fault delay processing danger level and safety maintenance time according to the faulty equipment maintenance data;

[0015] Determine basic safety time data according to the waiting time of the faulty equipment and the safety inspection time;

[0016] Determining delayed processing time data according to the fault delayed processing danger level;

[0017] The faulty equipment safety time data is determined according to the basic safety time data and the delayed processing time data.

[0018] Furthermore, the fault analysis module is further configured such that the determining of the waiting time of the faulty equipment according to the historical faulty equipment maintenance record data comprises:

[0019] Determine maintenance resource data based on the historical fault equipment maintenance record data;

[0020] Determine the departure time of the maintenance resource and the arrival time of the maintenance resource at the location of the historical fault device according to the maintenance resource data;

[0021] The faulty equipment waiting time is determined according to the departure time and the arrival time.

[0022] Furthermore, the fault analysis module is further configured to determine the fault delay processing danger level and the safety maintenance time according to the faulty equipment maintenance data, including:

[0023] Determining a faulty equipment maintenance method according to the faulty equipment maintenance data;

[0024] Obtaining a maintenance emergency level according to the maintenance means of the faulty equipment and the comparison table of preset maintenance means; the comparison table of preset maintenance means contains the correspondence between the maintenance means of the faulty equipment and the maintenance emergency level;

[0025] Determining the risk level of delayed fault handling according to the maintenance urgency level;

[0026] The safe maintenance time is determined according to the maintenance emergency level and the preset maintenance means comparison table.

[0027] Furthermore, the fault analysis module is further configured such that the determining of the fault delay processing danger level according to the maintenance urgency level includes a one-to-one correspondence between the maintenance urgency level and the fault delay processing danger level.

[0028] Furthermore, the fault analysis module is further configured such that the determining of the delayed processing time data according to the fault delayed processing danger level includes:

[0029] calculating the delayed processing time data, Where T is the delayed processing time data, is the time weight value, t j -t Δ is the extra time, i takes values ​​of 1-n, indicating the 1st to nth special cases, and j takes values ​​of 1-m, indicating the 1st to mth special cases.

[0030] Furthermore, the fault analysis module is further configured such that the historical fault equipment maintenance record data obtained by matching from a preset historical fault database based on the equipment fault data includes:

[0031] The equipment failure data includes equipment type data, failure type data and operating parameters of the failed equipment;

[0032] Determine first tag data according to the device type data;

[0033] Determine second label data according to the fault type data;

[0034] Determine third tag data according to the operating parameters of the faulty device;

[0035] Based on the first label data, the second label data and the third label data, historical fault equipment maintenance record data is retrieved from a preset historical fault database.

[0036] Furthermore, the fault analysis module is further configured to determine the periodic maintenance equipment list data according to the faulty equipment safety time data and the power line periodic maintenance time data, including:

[0037] Determine the time when the equipment failure occurs according to the equipment failure data;

[0038] Determine the waiting interval time of the faulty device according to the device fault occurrence event and the faulty device safety time data;

[0039] Determine the periodic maintenance waiting interval time according to the equipment failure event and the power line periodic maintenance time data;

[0040] Determine that the waiting interval of the faulty equipment is not greater than the waiting interval of the periodic maintenance, and list the corresponding faulty equipment in a preset blank equipment list to obtain periodic maintenance equipment list data.

[0041] Furthermore, the fault analysis module is further configured to also include determining equipment maintenance priority data based on the faulty equipment safety time data; and listing the corresponding faulty equipment into a preset blank equipment list based on the equipment maintenance priority data to obtain periodic maintenance equipment list data.

[0042] Furthermore, the data acquisition module is further configured so that the device fault level corresponding to the device fault data is not greater than a preset fault level.

[0043] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0045] Figure 1 A block diagram of a monitoring and analysis system for a high-precision power line status indicator in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0048] The present application provides a monitoring and analysis system for a high-precision power line status indicator. Figure 1 As shown, the system includes a data acquisition module 110, a fault analysis module 120 and a data output module 130; wherein the data acquisition module 110 is used to acquire power line periodic maintenance time data and equipment failure data; the fault analysis module 120 is configured to: obtain historical fault equipment maintenance record data from a preset historical fault database based on equipment failure data; determine fault equipment safety time data based on the historical fault equipment maintenance record data analysis; determine periodic maintenance equipment list data based on the fault equipment safety time data and the power line periodic maintenance time data; the data output module 130 is used to output the periodic maintenance equipment list data.

[0049] Specifically, in the embodiment of the present application, the data acquisition module 110 is further configured so that the equipment fault level corresponding to the equipment fault data is not greater than the preset fault level; it is understandable that in an actual power line, the status indicator can display the fault level of the faulty equipment; and the fault level includes the level corresponding to the situation where the equipment is faulty but does not affect the normal use of the equipment; for this type of equipment failure, although it is still necessary to dispatch human and material maintenance resources to the faulty equipment for maintenance, the maintenance means adopted may not be very intense, and the maintenance urgency is not very high; and, for high-precision power lines, they themselves need periodic maintenance and maintenance, so in combination with the above, this kind of separate maintenance work that does not affect the use of the equipment itself and has a low fault level can be merged into the periodic maintenance work, which can reduce the number of separate maintenance work and reduce maintenance costs.

[0050] In an embodiment of the present application, if one wants to delay the maintenance work of a faulty device with a low fault level, then one needs to analyze the fault and determine how long the corresponding device will last; that is, within the safety time, the fault of the device will remain the same, there will be no fault escalation, and there will be no impact on the device or even the possibility of an impact on the power line.

[0051] Specifically, in an embodiment of the present application, the fault analysis module 120 is further configured to obtain historical fault equipment maintenance record data by matching from a preset historical fault database based on the equipment fault data, including: the equipment fault data contains equipment type data, fault type data and fault equipment operating parameters; determine first label data according to the equipment type data; determine second label data according to the fault type data; determine third label data according to the fault equipment operating parameters; and retrieve historical fault equipment maintenance record data from a preset historical fault database based on the first label data, the second label data and the third label data.

[0052] It is understandable that when performing fault analysis on a faulty device in the current state, it is necessary to perform analysis based on historical fault inspection and maintenance records; therefore, it is necessary to first match historical faults that are similar to the current fault, and then retrieve the inspection and maintenance records corresponding to the historical faults for analysis; in the embodiment of the present application, label matching is performed through equipment type, fault type, and faulty device operating parameters. In the preset historical fault database, relevant historical fault inspection and maintenance record data are also stored in a labeled manner. By matching the three labels, historical fault equipment inspection and maintenance record data with a similarity value exceeding the preset similarity threshold can be obtained.

[0053] Specifically, the device type corresponding to the first label here needs to be consistent; the fault type corresponding to the second label needs to be consistent in level. For different status indicators, different levels of faults will be displayed in different ways, such as color, code, number, etc.; no matter what display method is used, the fault level represented needs to be consistent; the similarity of the operating parameters corresponding to the third label must not be less than the preset parameter similarity threshold.

[0054] After the historical faulty equipment maintenance record data is retrieved, further analysis is required; specifically, the fault analysis module 120 is further configured to determine the faulty equipment safety time data based on the analysis of the historical faulty equipment maintenance record data, including: determining the faulty equipment waiting time and the faulty equipment maintenance data based on the historical faulty equipment maintenance record data; determining the fault delayed processing hazard level and the safety maintenance time based on the faulty equipment maintenance data; determining the basic safety time data based on the faulty equipment waiting time and the safety maintenance time; determining the delayed processing time data based on the fault delayed processing hazard level; and determining the faulty equipment safety time data based on the basic safety time data and the delayed processing time data.

[0055] Among them, the fault analysis module 120 is further configured such that determining the waiting time of the faulty equipment based on the historical faulty equipment maintenance record data includes: determining the maintenance resource data based on the historical faulty equipment maintenance record data; determining the departure time of the maintenance resource and the arrival time of the maintenance resource at the location of the historical faulty equipment based on the maintenance resource data; and determining the waiting time of the faulty equipment based on the departure time and the arrival time.

[0056] Among them, the fault analysis module 120 is further configured such that the determination of the fault delay processing danger level and the safe maintenance time according to the faulty equipment maintenance data includes: determining the faulty equipment maintenance means according to the faulty equipment maintenance data; obtaining the maintenance urgency level according to a comparison table between the faulty equipment maintenance means and preset maintenance means; the preset maintenance means comparison table contains the correspondence between the faulty equipment maintenance means and the maintenance urgency level; determining the fault delay processing danger level according to the maintenance urgency level; and determining the safe maintenance time according to the maintenance urgency level and the comparison table between the preset maintenance means.

[0057] The fault analysis module 120 is further configured to determine the fault delay processing danger level according to the maintenance urgency level, including that the maintenance urgency level corresponds to the fault delay processing danger level in a one-to-one manner.

[0058] It can be understood that, based on the historical faulty equipment maintenance records, it is possible to determine the time when the maintenance resources go to the faulty equipment and the time when they arrive at the faulty equipment when the equipment fails; then the fault urgency, that is, the fault urgency level, is determined based on the maintenance means recorded in the historical faulty equipment maintenance records; if the fault urgency level is higher, it means that the fault delayed processing danger level is high; if the fault urgency level is lower, it means that the fault delayed processing danger level is low; in an embodiment of the present application, the fault urgency level and the fault delayed processing danger level correspond one to one; for example, the fault urgency level includes 1-5 levels from low to high, and the fault delayed processing danger level also includes 1-5 levels from low to high; if the fault urgency level of device A is level 3, then the fault delayed processing danger level of device A is also level 3.

[0059] In an embodiment of the present application, the preset maintenance means comparison table includes the correspondence between the maintenance emergency level and the safe maintenance time; for example, the maintenance emergency level is level 2, the safe maintenance time is 30 minutes, the maintenance emergency level is level 5, and the safe maintenance time is 5 minutes.

[0060] It is understandable that when analyzing the delayed fault processing hazard level, since the delayed fault processing hazard level and the fault emergency level are in a one-to-one correspondence, the delayed fault processing hazard level can be determined based on the maintenance means in the historical maintenance records; for example, the maintenance emergency level corresponding to the maintenance means is level 3, the delayed fault processing hazard level is also level 3, and the safe maintenance time is 15 minutes; and the safe maintenance time here also represents the time that the equipment maintains the fault without escalating under the level 3 delayed fault processing hazard level. The basic safety time of the equipment failure can be obtained by adding the safe maintenance time to the waiting time of the faulty equipment; in the actual maintenance process, there will also be maintenance cases that exceed the basic safety time. This situation shows that for some faults of some equipment, there is a delayed processing time based on the basic safety time. As long as the equipment fault is handled within the time range of the sum of the basic safety time and the delayed processing time, the maintenance of the faulty equipment can be guaranteed, and it can be guaranteed that the faulty equipment will not cause additional impact.

[0061] In an embodiment of the present application, the historical faulty equipment maintenance record data is first screened, and the maintenance time corresponding to the maintenance means of the case with the shortest time and a similarity exceeding a second similarity threshold is selected as the safe maintenance time; then, except for this case, the cases that use the same maintenance means as this case and have a maintenance time greater than this case are marked out, and the matching values ​​of these cases, that is, the similarity values, are determined, and then their respective weights are determined based on the similarity values, and their respective weights are multiplied by the additional time, and then divided by the total to obtain the delayed processing time.

[0062] Specifically, the fault analysis module 120 is further configured to: determine the delayed processing time data according to the fault delayed processing risk level, including calculating the delayed processing time data, Where T is the delayed processing time data, is the time weight value, t j -t Δ is the extra time, i takes values ​​of 1-n, indicating the 1st to nth special cases, and j takes values ​​of 1-m, indicating the 1st to mth special cases.

[0063] It can be understood that the time weight value here is the respective weight determined by the similarity value of each case mentioned above; is the sum of the similarity values ​​of each case; tΔ here is the maintenance time corresponding to the maintenance method of the case with the shortest time and a similarity exceeding the second similarity threshold.

[0064] In an embodiment of the present application, after obtaining the safety time data of the faulty equipment, the list of equipment to be periodically maintained can be determined in combination with the periodic maintenance time of the power line; specifically, the fault analysis module 120 is further configured to determine the periodic maintenance equipment list data based on the safety time data of the faulty equipment and the periodic maintenance time data of the power line, including: determining the equipment failure time based on the equipment failure data; determining the waiting interval time of the faulty equipment based on the equipment failure event and the safety time data of the faulty equipment; determining the periodic maintenance waiting interval time based on the equipment failure event and the periodic maintenance time data of the power line; determining that the waiting interval time of the faulty equipment is not greater than the periodic maintenance waiting interval time, and listing the corresponding faulty equipment in the preset blank equipment list to obtain the periodic maintenance equipment list data.

[0065] Among them, the fault analysis module 120 is further configured to also include: determining equipment maintenance priority data based on the faulty equipment safety time data; and listing the corresponding faulty equipment into a preset blank equipment list based on the equipment maintenance priority data to obtain periodic maintenance equipment list data.

[0066] It can be understood that the above method can determine the list of faulty equipment that can classify its own fault maintenance work into the next cycle maintenance work; and the priority of equipment maintenance is determined by the safety time of the faulty equipment; that is, the shorter the safety time of the faulty equipment, the higher the priority.

[0067] It should be noted that after determining the list of periodic maintenance equipment, it is also necessary to conduct pre-processing analysis on the maintenance work of the faulty equipment in the list, that is, to analyze the actual maintenance time of the faulty equipment based on the maintenance resources, and to determine that the faulty equipment in the list will not exceed its own safety time after the fault maintenance according to the preset priority by analyzing the travel time of the maintenance resources and the actual maintenance time of the faulty equipment.

[0068] Specifically, there are devices A and B on the faulty equipment list, among which the safety time of device A is 20 minutes, and the safety time of device B is 30 minutes. The priority of device A is higher than that of device B, the travel time of the maintenance resource is 10 minutes, the maintenance time of device A is 10 minutes, and the maintenance time of device B is 20 minutes; at this time, there are 10 minutes left before the next periodic maintenance, so at this time the maintenance resource starts to perform the transportation task; the timing starts from this time, and the maintenance starts at device A in the 10th minute, which does not exceed the safety time of device A by 20 minutes; after the maintenance of device A, the time is the 20th minute, and the maintenance of device B is started at this time, which does not exceed the safety time of device B by 30 minutes; this shows that the execution of the faulty equipment list will not have the problem of faulty equipment maintenance timeout due to priority.

[0069] It should be noted that in the embodiment of the present application, the power lines are divided based on preset division standards to form different power line areas; based on actual considerations, when problems occur in the power lines in different areas, maintenance resources must be dispatched from the nearest resource supply point. Therefore, the distance between the equipment is not considered here, and this distance is ignored by default.

[0070] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0071] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0072] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A monitoring and analysis system for a high-precision power line status indicator, characterized in that: It comprises a data acquisition module (110), a fault analysis module (120) and a data output module (130); The data acquisition module (110) is used to acquire power line periodic maintenance time data and equipment failure data; The fault analysis module (120) is configured to: Based on the equipment failure data, historical fault equipment maintenance record data is obtained by matching from a preset historical fault database; Determine the safety time data of the faulty equipment according to the historical faulty equipment maintenance record data analysis; Determine the periodic maintenance equipment list data according to the faulty equipment safety time data and the power line periodic maintenance time data; The data output module (130) is used to output the periodic maintenance equipment list data.

2. The system according to claim 1, characterized in that The fault analysis module (120) is further configured to: determine the fault equipment safety time data according to the historical fault equipment maintenance record data analysis, including: Determine the faulty equipment waiting time and the faulty equipment maintenance data according to the historical faulty equipment maintenance record data; Determine the fault delay processing danger level and safety maintenance time according to the faulty equipment maintenance data; Determine basic safety time data according to the waiting time of the faulty equipment and the safety inspection time; Determining delayed processing time data according to the fault delayed processing danger level; The faulty equipment safety time data is determined according to the basic safety time data and the delayed processing time data.

3. The system according to claim 2, characterized in that The fault analysis module (120) is further configured such that the determining of the waiting time of the faulty equipment according to the historical faulty equipment maintenance record data comprises: Determine maintenance resource data based on the historical fault equipment maintenance record data; Determine the departure time of the maintenance resource and the arrival time of the maintenance resource at the location of the historical fault device according to the maintenance resource data; The faulty equipment waiting time is determined according to the departure time and the arrival time.

4. The system according to claim 3, characterized in that The fault analysis module (120) is further configured to determine the fault delay processing danger level and the safety maintenance time according to the faulty equipment maintenance data, including: Determining a faulty equipment maintenance method according to the faulty equipment maintenance data; Obtaining a maintenance emergency level according to the maintenance means of the faulty equipment and the comparison table of preset maintenance means; the comparison table of preset maintenance means contains the correspondence between the maintenance means of the faulty equipment and the maintenance emergency level; Determining the risk level of delayed fault handling according to the maintenance urgency level; The safe maintenance time is determined according to the maintenance emergency level and the preset maintenance means comparison table.

5. The system according to claim 4, characterized in that The fault analysis module (120) is further configured to determine the fault delay processing danger level according to the maintenance urgency level, including a one-to-one correspondence between the maintenance urgency level and the fault delay processing danger level.

6. The system according to claim 5, characterized in that The fault analysis module (120) is further configured such that the determining of the delayed processing time data according to the fault delayed processing danger level comprises: calculating the delayed processing time data, Where T is the delayed processing time data, is the time weight value, t j -t Δ is the extra time, i takes values ​​of 1-n, indicating the 1st to nth special cases, and j takes values ​​of 1-m, indicating the 1st to mth special cases.

7. The system according to claim 1, characterized in that The fault analysis module (120) is further configured such that the historical fault equipment maintenance record data obtained by matching from a preset historical fault database based on the equipment fault data includes: The equipment failure data includes equipment type data, failure type data and operating parameters of the failed equipment; Determine first tag data according to the device type data; Determine second label data according to the fault type data; Determine third tag data according to the operating parameters of the faulty device; Based on the first label data, the second label data and the third label data, historical fault equipment maintenance record data is retrieved from a preset historical fault database.

8. The system according to claim 1, characterized in that The fault analysis module (120) is further configured to determine the periodic maintenance equipment list data according to the fault equipment safety time data and the power line periodic maintenance time data, including: Determine the time when the equipment failure occurs according to the equipment failure data; Determine the waiting interval time of the faulty device according to the device fault occurrence event and the faulty device safety time data; Determine the periodic maintenance waiting interval time according to the equipment failure event and the power line periodic maintenance time data; Determine that the waiting interval of the faulty equipment is not greater than the waiting interval of the periodic maintenance, and list the corresponding faulty equipment in a preset blank equipment list to obtain periodic maintenance equipment list data.

9. The system according to claim 8, characterized in that The fault analysis module (120) is further configured to also include: determining equipment maintenance priority data based on the faulty equipment safety time data; and listing the corresponding faulty equipment in a preset blank equipment list based on the equipment maintenance priority data to obtain periodic maintenance equipment list data.

10. The system according to claim 1, characterized in that The data acquisition module (110) is further configured such that the device fault level corresponding to the device fault data is not greater than a preset fault level.

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