A method, system, device and storage medium for fault detection of power distribution construction equipment

Abstract

The present invention belongs to the technical field of power distribution construction and relates to a method, system, device, and storage medium for detecting faults in power distribution construction equipment. The method comprises: obtaining operating status detection information and image detection information of each device in the power distribution construction; determining operating status deviation information based on the deviation between the operating status detection information and preset operating status reference information; analyzing and determining the equipment failure probability value based on the operating status deviation information; and when the equipment failure probability value is greater than the preset fault reference probability value, determining equipment failure warning information based on the operating status deviation information and image detection information analysis, and outputting the equipment failure warning information to a terminal held by maintenance personnel. The present invention facilitates maintenance personnel to quickly carry out repairs.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution construction, and in particular to a method, system, device and storage medium for detecting faults in power distribution construction equipment. Background Art

[0002] Power distribution construction refers to the engineering activities that involve transmitting electricity from power plants or substations to various users within buildings or facilities through cables and lines, and distributing and controlling it through distribution equipment. Power distribution construction is a critical component of the power system, crucial for ensuring the electricity needs of social production and people's daily lives.

[0003] In related technologies, during the power distribution construction process, in order to ensure the safe and reliable operation of the power system, prevent the occurrence of faults, reduce power outages, and protect the safety of equipment and personnel, fault detection is generally required during the power distribution construction process. Maintenance personnel regularly inspect and assess the health status of equipment and lines during the construction process, and take timely maintenance and repair measures for equipment and lines with failure risks to ensure the normal operation of the power distribution system.

[0004] After maintenance personnel regularly inspect the equipment and lines during the construction process, they still need to check each device and line in the construction process in order to find the cause of the failure and repair it, because the equipment and lines during the construction process are easily affected by environmental or human factors and fail. This takes a lot of time to detect the failure, which is not convenient for maintenance personnel to repair it quickly. Summary of the Invention

[0005] In order to facilitate maintenance personnel to quickly carry out repairs, the present invention provides a method, system, device and storage medium for detecting faults in power distribution construction equipment.

[0006] In a first aspect, the present invention provides a method for detecting faults in power distribution construction equipment, which adopts the following technical solution:

[0007] A method for detecting faults in power distribution construction equipment, comprising:

[0008] Obtain operating status detection information and image detection information of each device in power distribution construction;

[0009] Determining operating state deviation information based on a deviation between the operating state detection information and preset operating state reference information;

[0010] Determine the equipment failure probability value based on the analysis of operating status deviation information;

[0011] When the equipment failure probability value is greater than the preset failure baseline probability value, the equipment failure warning information is determined based on the operation status deviation information and image detection information analysis, and the equipment failure warning information is output to the terminal held by the maintenance personnel.

[0012] Optionally, a method for determining the equipment failure probability value includes:

[0013] Retrieving deviation device information, deviation type information, and type deviation value corresponding to the deviation type information based on the operation status deviation information;

[0014] According to the correspondence between the deviation device information, the deviation type information and the preset type reference interval, the type reference interval corresponding to the deviation device information and the deviation type information is determined;

[0015] Obtain manual operation information and equipment environment detection information corresponding to the deviation equipment information;

[0016] Analyze the manual operation information and equipment environment detection information to determine the interval impact value;

[0017] Calculating based on the category base interval and the interval impact value to form a category adjustment interval;

[0018] Based on the deviation between the category deviation value and the category adjustment interval, the category excess deviation value is determined;

[0019] The excess deviation failure probability value is determined based on the type of excess deviation value analysis, and the excess deviation failure probability value is used as the equipment failure probability value.

[0020] Optionally, a method for determining the interval impact value includes:

[0021] Retrieving environment detection type information and an environment type detection value corresponding to the environment detection type information based on the device environment detection information;

[0022] According to the correspondence between the environmental detection type information and the preset environmental impact type information, the environmental impact type information corresponding to the environmental detection type information is determined;

[0023] Retrieving operation type information and type operation value corresponding to the operation type information according to manual operation situation information;

[0024] Determining the operation impact category information corresponding to the operation category information according to the correspondence between the operation category information and the preset operation impact category information;

[0025] According to the consistency of the environmental impact category information, the operation impact category information and the deviation category information, the environmental category detection value and the category operation value are analyzed and the category impact comprehensive value is determined, and the category impact comprehensive value is used as the interval impact value.

[0026] Optionally, methods for determining the comprehensive value of category impact include:

[0027] Determine the deviation environment category information based on the consistency between the environmental impact category information and the deviation category information;

[0028] Determine the deviation environment type benchmark impact value corresponding to the deviation environment type information according to the correspondence between the deviation environment type information and the preset deviation environment type benchmark impact value;

[0029] Calculate the product of the environmental category detection value and the deviation environmental category baseline impact value and use it as the environmental category impact value;

[0030] Determine the deviation operation category information based on the consistency between the operation impact category information and the deviation category information;

[0031] Determining the deviation operation type benchmark impact value corresponding to the deviation operation type information according to the correspondence between the deviation operation type information and the preset deviation operation type benchmark impact value;

[0032] Calculate the product of the type operation value and the deviation operation type benchmark impact value and use it as the operation type impact value;

[0033] The sum of the environmental category impact value and the operational category impact value is calculated and used as the category impact composite value.

[0034] Optionally, a method for determining the excess deviation failure probability value includes:

[0035] Retrieving excess deviation category information based on the category excess deviation value;

[0036] According to the correspondence between the redundant deviation type information and the preset redundant deviation type reference probability value, the redundant deviation type reference probability value corresponding to the redundant deviation type information is determined;

[0037] Calculate the product of the category excess deviation value and the category excess deviation benchmark probability value and use it as a single probability value;

[0038] Determine whether there is only one type of excess deviation value;

[0039] If yes, the single probability value is used as the redundant deviation failure probability value;

[0040] If not, then determine the mutual impact value of the categories based on the query results of the redundant deviation category information and the corresponding fault impact category;

[0041] The single probability value corresponding to the mutual influence value of the species is used as the initial value of the mutual influence probability of the species, and the single probability value other than the initial value of the mutual influence probability of the species is used as the remaining probability value;

[0042] Calculate the product value between the initial value of the probability of mutual influence between species and the value of mutual influence between species and use it as the final value of the probability of mutual influence between species;

[0043] Calculate the average value between the final value of the probability of mutual influence of all types and the remaining probability value and use it as the excess deviation failure probability value.

[0044] Optionally, a method for determining equipment failure warning information includes:

[0045] According to the correspondence between the running state deviation information and the preset deviation cause information, the deviation cause information corresponding to the running state deviation information is determined;

[0046] According to the correspondence between the deviation cause information and the preset deviation cause warning information, the deviation cause warning information corresponding to the deviation cause information is determined;

[0047] Retrieving deviation cause reference image information based on deviation cause information and deviation device information;

[0048] Determining image deviation information based on the deviation between the image detection information and the reference image information of the deviation cause;

[0049] Determine image deviation warning information based on image deviation information analysis;

[0050] The deviation cause warning information and the image deviation warning information are combined and used as comprehensive warning information, and the comprehensive warning information is used as equipment failure warning information.

[0051] Optionally, a method for determining image deviation warning information includes:

[0052] Retrieving the image deviation position point and the image deviation degree value based on the image deviation information;

[0053] According to the correspondence between the image deviation position point and the preset image deviation reference value, the image deviation reference value corresponding to the image deviation position point is determined;

[0054] Determine whether the image deviation degree value is greater than the image deviation reference degree value;

[0055] If yes, then determining the deviation position maintenance instrument information corresponding to the image deviation position point according to the correspondence between the image deviation position point and the preset deviation position maintenance instrument information;

[0056] According to the correspondence between the image deviation degree value and the preset image deviation maintenance prompt information, the image deviation maintenance prompt information corresponding to the image deviation degree value is determined;

[0057] Combining the image deviation position point, the deviation position maintenance instrument information and the image deviation maintenance prompt information to form image deviation warning information;

[0058] If not, retrieve relevant line information based on the deviation device information;

[0059] According to the correspondence between the relevant line information and the preset relevant line warning information, the relevant line warning information corresponding to the relevant line information is determined, and the relevant line warning information is used as the image deviation warning information.

[0060] In a second aspect, the present invention provides a power distribution construction equipment fault detection system, which adopts the following technical solution:

[0061] A power distribution construction equipment fault detection system, comprising:

[0062] The main power distribution device is used to distribute and transmit electric energy from the power supply station or main distribution box to power users during power distribution construction;

[0063] An acquisition module is used to obtain operating status detection information, image detection information, manual operation information and equipment environment detection information on the power distribution main device;

[0064] A memory for storing a program of the power distribution construction equipment fault detection method according to any one of the first aspects;

[0065] The processor and the program in the memory can be loaded and executed by the processor to implement the power distribution construction equipment fault detection method as described in any one of the first aspects.

[0066] In a third aspect, the present invention provides a power distribution construction equipment fault detection device, which adopts the following technical solution:

[0067] A power distribution construction equipment fault detection device includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes any power distribution construction equipment fault detection method in the first aspect.

[0068] In a fourth aspect, the present invention provides a computer storage medium capable of storing corresponding programs, which has the characteristics of facilitating maintenance personnel to quickly perform repairs, and adopts the following technical solutions:

[0069] A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by the power distribution construction equipment fault detection method as described in any one of the first aspects.

[0070] In summary, the present invention includes at least one of the following beneficial technical effects:

[0071] 1. By acquiring operating status detection information and image detection information and determining operating status deviation information, the operating status deviation information is analyzed to determine the equipment failure probability value. When the equipment failure probability value is greater than the preset fault baseline probability value, the status deviation information and image detection information are analyzed to determine the equipment failure warning information and output it to the terminal held by the maintenance personnel. This allows for real-time detection of each device and line, and issues a warning when the failure probability in the equipment exceeds the baseline, reducing the time for maintenance personnel to conduct investigations and facilitating rapid repairs.

[0072] 2. Using the operating status deviation information, the deviation device information, deviation type information, and type deviation value are retrieved, and the type reference interval is determined. The manual operation information and equipment environment detection information are then acquired and analyzed to determine the interval impact value. After calculating the type adjustment interval, the type excess deviation value is determined based on the deviation from the type deviation value. The excess deviation fault probability value is then analyzed and determined and used as the equipment failure probability value, thereby improving the accuracy of the obtained equipment failure probability value.

[0073] 3. Retrieve the environment detection type information and environment type detection value through the equipment environment detection information and determine the environment impact type information; retrieve the operation type information and type operation value through the manual operation situation information and determine the operation impact type information; then analyze the consistency of the environment impact type information, operation impact type information and deviation type information to determine the comprehensive value of the type impact and use it as the interval impact value, thereby improving the accuracy of the obtained interval impact value. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a flow chart of the method for detecting faults in power distribution construction equipment according to an embodiment of the present application.

[0075] Figure 2 This is a flow chart of a method for determining a device failure probability value according to an embodiment of the present application.

[0076] Figure 3 This is a flow chart of a method for determining an interval impact value according to an embodiment of the present application.

[0077] Figure 4 This is a flow chart of a method for determining a comprehensive value of type influence according to an embodiment of the present application.

[0078] Figure 5 This is a flow chart of a method for determining a redundant deviation fault probability value according to an embodiment of the present application.

[0079] Figure 6This is a flow chart of a method for determining equipment fault warning information according to an embodiment of the present application.

[0080] Figure 7 This is a flow chart of a method for determining image deviation warning information according to an embodiment of the present application.

[0081] Figure 8 It is a system flow chart of power distribution construction equipment fault detection in an embodiment of the present application.

[0082] Figure 9 It is a schematic diagram of the device structure of the power distribution main device in an embodiment of the present application.

[0083] Explanation of the accompanying drawings: 1. Power distribution main device; 2. Acquisition module; 3. Memory; 4. Processor. DETAILED DESCRIPTION

[0084] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0085] An embodiment of the present invention discloses a method for detecting faults of power distribution construction equipment.

[0086] Reference Figure 1 , a method for detecting faults in power distribution construction equipment includes:

[0087] Step S100: Acquire the operating status detection information and image detection information of each device in the power distribution construction.

[0088] Specifically, operating status detection information refers to detection information collected from various parameters of each device in the operating state during power distribution construction. This information includes real-time parameters such as voltage and current, and is acquired by reading data from each device. Image detection information refers to detection images collected from image detection of each device during power distribution construction. This information is acquired through image detection devices pre-installed on each device during power distribution construction, and the image detection devices may be cameras.

[0089] Step S200: determining operating state deviation information based on a deviation between the operating state detection information and preset operating state reference information.

[0090] The operating status deviation information refers to the deviation information of the parameters of each device in the operating state during power distribution construction. The operating status baseline information refers to the baseline parameter information of each device in the operating state during power distribution construction during normal operation. The operating status baseline information is obtained by the operator importing the parameters of the normally operating equipment. By analyzing the deviation between the operating status detection information and the preset operating status baseline information, the deviation between the operating status detection information and the operating status baseline information is used as the operating status deviation information for subsequent use.

[0091] Step S300: Determine the equipment failure probability value based on the operation status deviation information analysis.

[0092] Among them, the equipment failure probability value refers to the probability value of each device failing. By analyzing the operating status deviation information, the equipment failure probability value is determined to facilitate subsequent use.

[0093] Step S400: When the equipment failure probability value is greater than the preset failure reference probability value, the equipment failure warning information is determined based on the operation state deviation information and the image detection information analysis, and the equipment failure warning information is output to the terminal held by the maintenance personnel.

[0094] The baseline failure probability value refers to the maximum probability of failure that each device can tolerate. This value is pre-entered by the operator and obtained. Equipment failure warning information is used to warn of devices with a high probability of failure. When the device failure probability value exceeds the preset baseline failure probability value, it indicates that the device has a high probability of failure. Therefore, by analyzing operating status deviation information and image detection information, the equipment failure warning information is determined and output to the terminal held by maintenance personnel. This allows for real-time testing of each device and line, and issues warnings when the failure probability in a device exceeds the baseline. This reduces maintenance personnel's troubleshooting time and facilitates rapid repairs.

[0095] exist Figure 1 In step S300, in order to further ensure the rationality of the equipment failure probability value, it is necessary to further analyze and calculate the equipment failure probability value separately, specifically by Figure 2 The steps shown are explained in detail.

[0096] Reference Figure 2 , the method for determining the equipment failure probability value includes the following steps:

[0097] Step S310: Retrieve deviation device information, deviation type information, and type deviation value corresponding to the deviation type information based on the operation status deviation information.

[0098] Deviation device information refers to the device information corresponding to parameter deviations. Deviation device information is obtained by retrieving the source of the operating status detection information corresponding to the operating status deviation information. Operating status deviation information includes deviation type information and type deviation value. Deviation type information refers to the type information corresponding to parameter deviations, and type deviation value refers to the specific deviation value corresponding to parameter deviations. Both deviation type information and type deviation value are directly retrieved from the operating status deviation information for easy subsequent use.

[0099] Step S320 : determining a category reference interval corresponding to the deviation device information and the deviation category information according to a correspondence between the deviation device information, the deviation category information, and the preset category reference interval.

[0100] The category reference interval refers to the reference interval that can be tolerated under normal circumstances for the type of parameter deviation. The category reference interval is obtained by querying a database that stores deviation device information, deviation type information, and category reference intervals. Determining the category reference interval by querying the deviation device information and deviation type information facilitates subsequent use.

[0101] Step S330: Obtain manual operation information and equipment environment detection information corresponding to the deviation equipment information.

[0102] Among them, manual operation status information refers to the situation information of manual operation of the equipment to which the parameter deviation belongs. The manual operation status information can be retrieved by querying the equipment to which the parameter deviation belongs. The equipment environment detection information refers to the detection information of the environment in which the equipment to which the parameter deviation belongs is currently located. The equipment environment detection information is obtained through detection by the environmental detection device preset on each device. The environmental detection device includes but is not limited to temperature sensors, humidity sensors, and wind sensors.

[0103] Step S340: Analyze the manual operation information and the equipment environment detection information to determine the interval impact value.

[0104] Among them, the interval impact value refers to the degree of influence when the equipment to which the parameter deviation belongs is affected by manual operation or the environment in which it is located. By analyzing the manual operation information and equipment environment detection information, the interval impact value is determined to facilitate subsequent use.

[0105] Step S350 : performing calculation based on the category reference interval and the interval impact value to form a category adjustment interval.

[0106] Among them, the category adjustment interval refers to the interval after adjusting the benchmark interval of the category to which the parameter deviation belongs. By calculating the category benchmark interval and the interval impact value, the end value in the category benchmark interval is adjusted to form the category adjustment interval, which is convenient for subsequent use.

[0107] Step S360: determining a category excess deviation value based on the deviation between the category deviation value and the category adjustment interval.

[0108] Among them, the redundant deviation value refers to the deviation value of the parameter deviation that appears redundantly in the category to which it belongs. By analyzing the deviation between the category deviation value and the category adjustment interval, and when the category deviation value is not within the category adjustment interval, the difference between the category deviation value and the category adjustment interval is used as the category redundant deviation value. When the category deviation value is not within the category adjustment interval, the preset redundant benchmark deviation value is used as the redundant deviation value, so as to facilitate subsequent use.

[0109] Step S370: Determine the excess deviation failure probability value based on the type of excess deviation value analysis, and use the excess deviation failure probability value as the equipment failure probability value.

[0110] Among them, the excess deviation failure probability value refers to the probability value of equipment failure due to excess deviation. By analyzing the types of excess deviation values, the excess deviation failure probability value is determined and used as the equipment failure probability value, so that the obtained equipment failure probability value is affected by the manual operation conditions and equipment environment, thereby improving the accuracy of the obtained equipment failure probability value.

[0111] exist Figure 2 In step S340, in order to further ensure the rationality of the interval impact value, it is necessary to further analyze and calculate the interval impact value. Figure 3 The steps shown are explained in detail.

[0112] Reference Figure 3 , the method for determining the interval impact value includes the following steps:

[0113] Step S341: Retrieve environment detection type information and the environment type detection value corresponding to the environment detection type information based on the device environment detection information.

[0114] Among them, the equipment environment detection information includes environment detection type information and environment type detection value. The environment detection type information is the type information of the detection parameters when the equipment is detecting the environment. The environment type detection value refers to the specific detection value corresponding to the detected environment parameter type. The environment detection type information and environment type detection value are retrieved through the equipment environment detection information, which is convenient for subsequent use.

[0115] Step S342: determining the environmental impact category information corresponding to the environmental detection category information according to the correspondence between the environmental detection category information and the preset environmental impact category information.

[0116] Environmental impact category information refers to the type of environmental parameters that may affect device parameters. This information is retrieved from a database that stores environmental detection category information and environmental impact category information. Determining the environmental impact category information through the environmental detection category information query facilitates subsequent use.

[0117] Step S343: Retrieve the operation type information and the type operation value corresponding to the operation type information according to the manual operation situation information.

[0118] Among them, the operation type information refers to the type information of the parameters that are adjusted when the equipment is manually operated, and the type operation value refers to the specific value of the parameter after the adjustment when the equipment is manually operated. The operation type information and type operation value are obtained by reading the data of the equipment based on the manual operation situation information.

[0119] Step S344: determining the operation impact category information corresponding to the operation category information according to the correspondence between the operation category information and the preset operation impact category information.

[0120] The operation impact type information refers to the parameter type information that will be affected when a parameter is manually adjusted. The operation impact type information is retrieved from a database that stores operation type information and operation impact type information. Determining the operation impact type information through the operation type information query facilitates subsequent use.

[0121] Step S345: Analyze the environmental category detection value and the category operation value according to the consistency of the environmental impact category information, the operation impact category information and the deviation category information, determine the category impact comprehensive value, and use the category impact comprehensive value as the interval impact value.

[0122] Among them, the comprehensive value of type impact refers to the comprehensive impact degree value when the equipment environment and manual operation have an impact. By analyzing the consistency of the environmental impact type information, the operation impact type information and the deviation type information, the environmental type detection value and the type operation value are analyzed and calculated to form the comprehensive value of type impact, and the comprehensive value of type impact is used as the interval impact value, so as to improve the accuracy of the obtained interval impact value.

[0123] exist Figure 3 In step S345, in order to further ensure the rationality of the comprehensive value of the type of impact, it is necessary to further analyze and calculate the comprehensive value of the type of impact. Figure 4 The steps shown are explained in detail.

[0124] Reference Figure 4 ,The method for determining the comprehensive value of species impact includes the following steps:

[0125] Step S3451: Determine the deviation environment category information based on the consistency between the environmental impact category information and the deviation category information.

[0126] Among them, the deviation environment type information refers to the type information of the deviation parameter type that is affected by the environment. By analyzing the consistency between the environmental impact type information and the deviation type information, the deviation type information that is consistent with the environmental impact type information is used as the deviation environment type information, which is convenient for subsequent use.

[0127] Step S3452: Determine the deviation environment type benchmark impact value corresponding to the deviation environment type information according to the correspondence between the deviation environment type information and the preset deviation environment type benchmark impact value.

[0128] The deviation environment type baseline impact value refers to the baseline impact value corresponding to the deviation parameter type affected by the environment when it is affected by the environment. The deviation environment type baseline impact value is obtained by querying from a database that stores deviation environment type information and deviation environment type baseline impact values. Determining the deviation environment type baseline impact value through querying the deviation environment type information facilitates subsequent use.

[0129] Step S3453: Calculate the product of the environment type detection value and the deviation environment type baseline impact value and use it as the environment type impact value.

[0130] Among them, the environmental type impact value refers to the actual impact degree value corresponding to the deviation parameter type affected by the environment when it is affected by the environment. The product value between the environmental type detection value and the deviation environmental type benchmark impact value is calculated and used as the environmental type impact value for subsequent use.

[0131] Step S3454: Determine the deviation operation type information based on the consistency between the operation impact type information and the deviation type information.

[0132] Among them, the deviation operation type information is the type information affected by manual operation in the deviation parameter type. By analyzing the consistency between the operation impact type information and the deviation type information, the deviation type information that is consistent with the operation impact type information is used as the deviation operation type information, which is convenient for subsequent use.

[0133] Step S3455: Determine the deviation operation type reference impact value corresponding to the deviation operation type information according to the correspondence between the deviation operation type information and the preset deviation operation type reference impact value.

[0134] The deviation operation type baseline impact value refers to the baseline impact value corresponding to the deviation parameter type affected by manual operation when affected by manual operation. The deviation operation type baseline impact value is obtained by querying from a database that stores deviation operation type information and deviation operation type baseline impact values. Determining the deviation operation type baseline impact value through querying the deviation operation type information facilitates subsequent use.

[0135] Step S3456: Calculate the product of the type operation value and the deviation operation type reference impact value and use it as the operation type impact value.

[0136] Among them, the operation type impact value refers to the actual impact degree value corresponding to the deviation parameter type affected by manual operation when it is affected by manual operation. The product value between the type operation value and the deviation operation type benchmark impact value is calculated and used as the operation type impact value for convenience in subsequent use.

[0137] Step S3457: Calculate the sum of the environment category impact value and the operation category impact value and use it as the category impact comprehensive value.

[0138] The accuracy of the obtained comprehensive value of type impact is improved by calculating the sum of the environmental type impact value and the operation type impact value and using it as the comprehensive value of type impact.

[0139] exist Figure 2 In step S370, in order to further ensure the rationality of the excess deviation fault probability value, it is necessary to further analyze and calculate the excess deviation fault probability value separately, specifically by Figure 5 The steps shown are explained in detail.

[0140] Reference Figure 5 , the method for determining the redundant deviation failure probability value includes the following steps:

[0141] Step S371: Retrieve excess deviation category information based on the category excess deviation value.

[0142] Among them, the excess deviation type information refers to the type information of the parameter with excess deviation. The excess deviation type information is retrieved by querying the type corresponding to the type excess deviation value, which is convenient for subsequent use.

[0143] Step S372: determining a redundant deviation type reference probability value corresponding to the redundant deviation type information according to a correspondence between the redundant deviation type information and a preset redundant deviation type reference probability value.

[0144] The excess deviation type baseline probability value is the baseline probability value indicating a device failure for the type of parameter with the excess deviation. The excess deviation type baseline probability value is obtained by querying a database that stores excess deviation type information and excess deviation type baseline probability values. Determining the excess deviation type baseline probability value through querying the excess deviation type information facilitates subsequent use.

[0145] Step S373: Calculate the product value between the category excess deviation value and the excess deviation category baseline probability value and use it as a single probability value.

[0146] Among them, a single probability value refers to the probability value of a single type of excess deviation value indicating a device failure. The product value between the type excess deviation value and the excess deviation type benchmark probability value is calculated and used as a single probability value for convenience in subsequent use.

[0147] Step S374: Determine whether there is only one redundant deviation value for each category. If yes, execute step S375; if no, execute step S376.

[0148] Here, by judging whether there is only one redundant deviation value of a category, it is judged whether there is any mutual influence among the categories to which the parameters with redundant deviations belong.

[0149] Step S375: taking the single probability value as the redundant deviation fault probability value.

[0150] Among them, when there is only one type of redundant deviation value, it means that there is no mutual influence among the types of parameters with redundant deviation at this time. Therefore, a single probability value is used as the redundant deviation fault probability value, thereby improving the accuracy of the obtained redundant deviation fault probability value.

[0151] Step S376: Determine the mutual impact value of each category based on the query result of the redundant deviation category information and the corresponding fault impact category.

[0152] The category mutual influence value refers to the degree of influence generated when categories influence each other. This value is retrieved from a database that stores excess deviation category information, fault impact categories, and category mutual influence values. The query results for excess deviation category information and corresponding fault impact categories are analyzed. When a query is found, the corresponding category mutual influence value is retrieved based on the excess deviation category information and the corresponding fault impact category, facilitating subsequent use.

[0153] Step S377: The single probability value corresponding to the mutual influence value between categories is used as the initial value of the mutual influence probability between categories, and the single probability values ​​other than the initial value of the mutual influence probability between categories are used as the remaining probability values.

[0154] Among them, the initial value of the probability of mutual influence between species refers to the initial probability value of the existence of mutually influencing species, and the residual probability value refers to the probability value of the non-existence of mutually influencing species. By defining the initial value of the probability of mutual influence between species and the residual probability value respectively, it is convenient for subsequent use.

[0155] Step S378: Calculate the product value between the initial value of the probability of mutual influence between categories and the value of mutual influence between categories and use it as the final value of the probability of mutual influence between categories.

[0156] Among them, the final value of the probability of mutual influence among species refers to the probability value after the probability of the species that have mutual influence is adjusted. The product value between the initial value of the probability of mutual influence among species and the value of mutual influence among species is calculated and used as the final value of the probability of mutual influence among species, which is convenient for subsequent use.

[0157] Step S379: Calculate the average value between the final value of the mutual influence probability of all types and the remaining probability value and use it as the excess deviation failure probability value.

[0158] The accuracy of the obtained redundant deviation fault probability value is improved by calculating the average value between the final value of all types of mutual influence probabilities and the remaining probability value and taking it as the redundant deviation fault probability value.

[0159] exist Figure 1 In step S400, in order to further ensure the rationality of the equipment failure warning information, it is necessary to further analyze and calculate the equipment failure warning information separately. Figure 6 The steps shown are explained in detail.

[0160] Reference Figure 6 , the method for determining equipment failure warning information includes the following steps:

[0161] Step S410: Determine deviation cause information corresponding to the running state deviation information according to the correspondence between the running state deviation information and the preset deviation cause information.

[0162] Deviation cause information refers to the cause of a parameter deviation in an operating device. This information is retrieved from a database that stores operating state deviation information and deviation cause information. Determining the deviation cause information through the operating state deviation information query facilitates subsequent use.

[0163] Step S420: Determine the deviation cause warning information corresponding to the deviation cause information according to the correspondence between the deviation cause information and the preset deviation cause warning information.

[0164] The deviation cause warning information refers to warning information based on the cause of the deviation. The deviation cause warning information is obtained by querying a database that stores deviation cause information and deviation cause warning information. The deviation cause warning information is determined by querying the deviation cause information to facilitate subsequent use.

[0165] Step S430: Retrieve deviation cause reference image information based on the deviation cause information and the deviation device information.

[0166] Among them, the deviation cause reference image information refers to the image information of the part corresponding to the cause of the deviation in the equipment during normal operation. The corresponding deviation cause reference image information is retrieved through the deviation cause information and the deviation equipment information, so as to facilitate subsequent use.

[0167] Step S440: Determine image deviation information based on the deviation between the image detection information and the deviation cause reference image information.

[0168] Among them, image deviation information refers to the deviation information when there is deviation in the image. By analyzing the deviation between the image detection information and the deviation cause reference image information, the deviation between the image detection information and the deviation cause reference image information is used as the image deviation information, which is convenient for subsequent use.

[0169] Step S450: Determine image deviation warning information based on image deviation information analysis.

[0170] Among them, the image deviation warning information refers to the warning information based on the image deviation. By analyzing the image deviation information, the image deviation warning information is determined to facilitate subsequent use.

[0171] Step S460: combining the deviation cause warning information and the image deviation warning information to form comprehensive warning information, and using the comprehensive warning information as equipment failure warning information.

[0172] Among them, by combining the deviation cause warning information and the image deviation warning information and using them as comprehensive warning information, the obtained comprehensive warning information can be affected by the deviation cause and the image deviation, and then the comprehensive warning information is used as equipment failure warning information to improve the accuracy of the obtained equipment failure warning information.

[0173] exist Figure 6In step S450, in order to further ensure the rationality of the image deviation warning information, it is necessary to further analyze and calculate the image deviation warning information separately, specifically by Figure 7 The steps shown are explained in detail.

[0174] Reference Figure 7 ,The method for determining image deviation warning information includes the following steps:

[0175] Step S451: Retrieve the image deviation position point and the image deviation degree value based on the image deviation information.

[0176] Among them, the image deviation information includes the image deviation position point and the image deviation degree value. The image deviation position point refers to the position point where the image has deviation, and the image deviation degree value refers to the deviation degree value corresponding to the image has deviation. The image deviation position point and the image deviation degree value are retrieved through the image deviation information to facilitate subsequent use.

[0177] Step S452: determining the image deviation reference value corresponding to the image deviation position point according to the correspondence between the image deviation position point and the preset image deviation reference value.

[0178] The image deviation baseline value refers to the tolerable baseline deviation level at the image deviation location. This value is retrieved from a database that stores image deviation locations and image deviation baseline values. Determining the image deviation baseline value through image deviation location query facilitates subsequent use.

[0179] Step S453: Determine whether the image deviation value is greater than the image deviation reference value. If yes, proceed to step S454; if no, proceed to step S457.

[0180] Here, by judging whether the image deviation degree value is greater than the image deviation reference degree value, it is judged whether the deviation at the position where the image has deviation needs to be warned.

[0181] Step S454: Determine the deviation position maintenance instrument information corresponding to the image deviation position point according to the correspondence between the image deviation position point and the preset deviation position maintenance instrument information.

[0182] The deviation position maintenance instrument information refers to the instrument information required for maintaining the deviation position, and the deviation position maintenance instrument information is obtained by querying from a database storing image deviation position points and deviation position maintenance instrument information.

[0183] When the image deviation degree value is greater than the image deviation reference degree value, it means that there is a deviation at the position where the image is deviated and an early warning is required. Therefore, the deviation position maintenance instrument information is determined by querying the image deviation position point to facilitate subsequent use.

[0184] Step S455: determining image deviation maintenance prompt information corresponding to the image deviation degree value according to the correspondence between the image deviation degree value and the preset image deviation maintenance prompt information.

[0185] Image deviation maintenance prompt information refers to prompt information that provides specific maintenance items when maintaining deviations in an image. This information includes information such as the maintenance method and parameters involved in the maintenance. This information is retrieved from a database that stores image deviation values ​​and image deviation maintenance prompt information. Determining the image deviation maintenance prompt information through the image deviation value query facilitates subsequent use.

[0186] Step S456: combining the image deviation position point, the deviation position maintenance instrument information, and the image deviation maintenance prompt information to form image deviation warning information.

[0187] Among them, by combining the image deviation position point, the deviation position maintenance instrument information and the image deviation maintenance prompt information to form image deviation warning information, it is convenient for maintenance personnel to quickly maintain the equipment in subsequent maintenance based on the image deviation warning information.

[0188] Step S457: Retrieve relevant line information based on the deviation device information.

[0189] The relevant line information refers to the line information connected to the deviation device, and the relevant line information is obtained by retrieving the corresponding line through the deviation device information.

[0190] When the image deviation degree value is not greater than the image deviation reference degree value, it indicates that the deviation at the position where the image has a deviation does not require an early warning, so the relevant line information is retrieved to facilitate subsequent use.

[0191] Step S458: determining the relevant line warning information corresponding to the relevant line information according to the corresponding relationship between the relevant line information and the preset relevant line warning information, and using the relevant line warning information as the image deviation warning information.

[0192] The relevant line warning information refers to maintenance warning information for lines connected to deviated equipment. The relevant line warning information is obtained by querying a database that stores relevant line information and relevant line warning information. The relevant line warning information is determined through the relevant line information query and used as image deviation warning information, thereby improving the accuracy of the obtained image deviation warning information.

[0193] Reference Figure 8 Based on the same inventive concept, an embodiment of the present invention provides a power distribution construction equipment fault detection system, comprising:

[0194] The power distribution main device 1 is used to distribute and transmit electric energy from the power supply station or main distribution box to power users during power distribution construction;

[0195] Acquisition module 2, used to obtain operating status detection information, image detection information, manual operation information and equipment environment detection information on the power distribution main device;

[0196] Memory 3, used to store Figures 1 to 7 A procedure for a method for detecting a fault in power distribution construction equipment according to any one of the preceding claims;

[0197] Processor 4, the program in the memory can be loaded and executed by the processor and realize the following Figures 1 to 7 A method for detecting faults in power distribution construction equipment according to any one of the preceding claims.

[0198] Reference Figure 9 The power distribution main device 1 is used to distribute and transmit the power output from the power supply station or the main distribution box to power users during power distribution construction, so as to facilitate the use of power users.

[0199] Based on the same inventive concept, an embodiment of the present invention provides a power distribution construction equipment fault detection device, including a memory and a processor, the memory stores data that can be loaded and executed by the processor. Figures 1 to 7 A computer program for any one of the methods for detecting faults in power distribution construction equipment.

[0200] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0201] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor. Figures 1 to 7A computer program for any one of the methods for detecting faults in power distribution construction equipment.

[0202] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0203] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for detecting faults in power distribution construction equipment, characterized in that: include: Obtain operating status detection information and image detection information of each device in power distribution construction; Determining operating state deviation information based on a deviation between the operating state detection information and preset operating state reference information; Determining the equipment failure probability value based on the operation status deviation information analysis, including: retrieving the deviation equipment information, the deviation type information and the type deviation value corresponding to the deviation type information based on the operation status deviation information; determining the type reference interval corresponding to the deviation equipment information and the deviation type information based on the correspondence between the deviation equipment information, the deviation type information and the preset type reference interval; obtaining the manual operation situation information and the equipment environment detection information corresponding to the deviation equipment information; analyzing the manual operation situation information and the equipment environment detection information to determine the interval impact value; calculating based on the type reference interval and the interval impact value to form a type adjustment interval; determining the type redundant deviation value based on the deviation between the type deviation value and the type adjustment interval; determining the redundant deviation failure probability value based on the type redundant deviation value analysis, and using the redundant deviation failure probability value as the equipment failure probability value; When the equipment failure probability value is greater than the preset failure baseline probability value, the equipment failure warning information is determined based on the operation status deviation information and image detection information analysis, and the equipment failure warning information is output to the terminal held by the maintenance personnel; The method for determining the interval impact value includes: retrieving the environment detection type information and the environment type detection value corresponding to the environment detection type information based on the equipment environment detection information; determining the environment impact type information corresponding to the environment detection type information according to the correspondence between the environment detection type information and the preset environment impact type information; retrieving the operation type information and the type operation value corresponding to the operation type information according to the manual operation situation information; determining the operation impact type information corresponding to the operation type information according to the correspondence between the operation type information and the preset operation impact type information; analyzing the environment type detection value and the type operation value according to the consistency of the environment impact type information, the operation impact type information and the deviation type information, and determining the type impact comprehensive value, and using the type impact comprehensive value as the interval impact value.

2. The power distribution construction equipment fault detection method according to claim 1, characterized in that: Methods for determining the comprehensive value of species impact include: Determine the deviation environment category information based on the consistency between the environmental impact category information and the deviation category information; Determine the deviation environment type benchmark impact value corresponding to the deviation environment type information according to the correspondence between the deviation environment type information and the preset deviation environment type benchmark impact value; Calculate the product of the environmental category detection value and the deviation environmental category baseline impact value and use it as the environmental category impact value; Determine the deviation operation category information based on the consistency between the operation impact category information and the deviation category information; Determining the deviation operation type benchmark impact value corresponding to the deviation operation type information according to the correspondence between the deviation operation type information and the preset deviation operation type benchmark impact value; Calculate the product of the type operation value and the deviation operation type benchmark impact value and use it as the operation type impact value; The sum of the environmental category impact value and the operational category impact value is calculated and used as the category impact composite value.

3. The power distribution construction equipment fault detection method according to claim 1, characterized in that: Methods for determining the excess deviation failure probability value include: Retrieving excess deviation category information based on the category excess deviation value; According to the correspondence between the redundant deviation type information and the preset redundant deviation type reference probability value, the redundant deviation type reference probability value corresponding to the redundant deviation type information is determined; Calculate the product of the category excess deviation value and the category excess deviation benchmark probability value and use it as a single probability value; Determine whether there is only one type of excess deviation value; If yes, the single probability value is used as the redundant deviation failure probability value; If not, then determine the mutual impact value of the categories based on the query results of the redundant deviation category information and the corresponding fault impact category; The single probability value corresponding to the mutual influence value of the species is used as the initial value of the mutual influence probability of the species, and the single probability value other than the initial value of the mutual influence probability of the species is used as the remaining probability value; Calculate the product value between the initial value of the probability of mutual influence between species and the value of mutual influence between species and use it as the final value of the probability of mutual influence between species; Calculate the average value between the final value of the probability of mutual influence of all types and the remaining probability value and use it as the excess deviation failure probability value.

4. The power distribution construction equipment fault detection method according to claim 1, characterized in that: Methods for determining equipment failure warning information include: According to the correspondence between the running state deviation information and the preset deviation cause information, the deviation cause information corresponding to the running state deviation information is determined; According to the correspondence between the deviation cause information and the preset deviation cause warning information, the deviation cause warning information corresponding to the deviation cause information is determined; Retrieving deviation cause reference image information based on deviation cause information and deviation device information; Determining image deviation information based on the deviation between the image detection information and the reference image information of the deviation cause; Determine image deviation warning information based on image deviation information analysis; The deviation cause warning information and the image deviation warning information are combined and used as comprehensive warning information, and the comprehensive warning information is used as equipment failure warning information.

5. The power distribution construction equipment fault detection method according to claim 4, characterized in that: Methods for determining image deviation warning information include: Retrieving the image deviation position point and the image deviation degree value based on the image deviation information; According to the correspondence between the image deviation position point and the preset image deviation reference value, the image deviation reference value corresponding to the image deviation position point is determined; Determine whether the image deviation degree value is greater than the image deviation reference degree value; If yes, then determining the deviation position maintenance instrument information corresponding to the image deviation position point according to the correspondence between the image deviation position point and the preset deviation position maintenance instrument information; According to the correspondence between the image deviation degree value and the preset image deviation maintenance prompt information, the image deviation maintenance prompt information corresponding to the image deviation degree value is determined; Combining the image deviation position point, the deviation position maintenance instrument information and the image deviation maintenance prompt information to form image deviation warning information; If not, retrieve relevant line information based on the deviation device information; According to the correspondence between the relevant line information and the preset relevant line warning information, the relevant line warning information corresponding to the relevant line information is determined, and the relevant line warning information is used as the image deviation warning information.

6. A power distribution construction equipment fault detection system, characterized in that: The method for detecting a fault in power distribution construction equipment according to claim 1 comprises: The power distribution main device (1) is used to distribute and transmit electric energy from the power supply station or the main distribution box to power users during power distribution construction; An acquisition module (2) is used to acquire operating status detection information, image detection information, manual operation information and equipment environment detection information on the power distribution main device; A memory (3) for storing a program of the power distribution construction equipment fault detection method according to claim 1; A processor (4), wherein the program in the memory can be loaded and executed by the processor and implement the power distribution construction equipment fault detection method as claimed in claim 1.

7. A power distribution construction equipment fault detection device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the power distribution construction equipment fault detection method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer program is stored which can be loaded by a processor and executes the power distribution construction equipment fault detection method according to any one of claims 1 to 5.

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