Substation hidden danger automatic monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses an automatic hidden danger monitoring method and device for a transformer substation, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target hidden danger list corresponding to the uploading operation of a hidden danger list of the transformer substation when the uploading operation of the hidden danger list of the transformer substation is detected; determining a hidden danger list type corresponding to the target hidden danger list, and matching a corresponding hidden danger processing work list according to the hidden danger list type; and collecting hidden danger monitoring data corresponding to the target hidden danger list according to the hidden danger processing work list, and carrying out hidden danger monitoring according to the hidden danger monitoring data. Based on the above technical scheme, when it is detected that a new hidden danger list is uploaded, the corresponding work list is determined by analyzing the hidden danger list, and the corresponding hidden danger monitoring data is collected according to the work list, so that continuous hidden danger monitoring is carried out on the transformer substation according to the hidden danger monitoring data, and then the efficiency of transformer substation hidden danger monitoring is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power monitoring, and in particular to a method, a device, an electronic device and a storage medium for automatically monitoring hidden dangers of a substation. Background Art

[0002] With the continuous development of power technology, in order to ensure the stability of the power network during operation, substations are usually inspected regularly and maintained according to the inspection results to ensure the stable operation of the power network.

[0003] The existing inspection method is to manually inspect the substation and conduct regular inspections after a defect is found in the substation. However, the manual inspection method often relies on the experience of the maintenance personnel and cannot accurately reflect the working status of the substation. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for automatic hidden danger monitoring of a substation. When a new hidden danger list is detected and uploaded, the corresponding work list is determined by parsing the hidden danger list, and the corresponding hidden danger monitoring data is collected according to the work list, so as to continuously monitor the hidden dangers of the substation according to the hidden danger monitoring data, thereby improving the efficiency of hidden danger monitoring of the substation.

[0005] According to one aspect of the present invention, there is provided a method for automatically monitoring hidden dangers of a substation, comprising:

[0006] When a substation hidden danger list upload operation is detected, a target hidden danger list corresponding to the substation hidden danger list upload operation is obtained;

[0007] Determine the type of hidden danger sheet corresponding to the target hidden danger sheet, and match the corresponding hidden danger handling work sheet according to the hidden danger sheet type, wherein the hidden danger sheet type includes a substation defect sheet and an environmental risk warning sheet;

[0008] According to the hidden danger handling work order, hidden danger monitoring data corresponding to the target hidden danger order is collected, and hidden danger monitoring is performed based on the hidden danger monitoring data.

[0009] According to another aspect of the present invention, there is provided a device for automatically monitoring hidden dangers of a substation, comprising:

[0010] A hidden danger list acquisition module is used to acquire a target hidden danger list corresponding to the substation hidden danger list upload operation when a substation hidden danger list upload operation is detected;

[0011] A work order generation module, used to determine the type of hidden danger order corresponding to the target hidden danger order, and match the corresponding hidden danger handling work order according to the hidden danger order type, wherein the hidden danger order type includes a substation defect order and an environmental risk warning order;

[0012] The automatic monitoring module is used to collect hidden danger monitoring data corresponding to the target hidden danger list according to the hidden danger handling work list, and perform hidden danger monitoring according to the hidden danger monitoring data.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for automatic monitoring of hidden dangers in a substation described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for automatically monitoring hidden dangers of a substation as described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention, when a substation hidden danger sheet upload operation is detected, obtains the target hidden danger sheet corresponding to the substation hidden danger sheet upload operation, determines the hidden danger sheet type corresponding to the target hidden danger sheet, matches the corresponding hidden danger handling work sheet according to the hidden danger sheet type, and then collects the hidden danger monitoring data corresponding to the target hidden danger sheet according to the hidden danger handling work sheet, and performs hidden danger monitoring according to the hidden danger monitoring data. Based on the above technical solution, when a new hidden danger sheet is detected to be uploaded, the corresponding work sheet is determined by parsing the hidden danger sheet, and the corresponding hidden danger monitoring data is collected according to the work sheet, so as to continuously monitor the hidden dangers of the substation according to the hidden danger monitoring data, thereby improving the efficiency of hidden danger monitoring of the substation.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a flow chart of a method for automatically monitoring hidden dangers of a substation provided by an embodiment of the present invention;

[0022] Figure 2 It is a flow chart of a method for automatically monitoring hidden dangers of a substation provided by an embodiment of the present invention;

[0023] Figure 3 It is a structural block diagram of a hidden danger automatic monitoring device for a substation provided by an embodiment of the present invention;

[0024] Figure 4 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] Figure 1 This is a flow chart of a method for automatically monitoring hidden dangers in a substation provided by an embodiment of the present invention. This embodiment can be applied to the situation where, when a new hidden danger list is detected and uploaded, a hidden danger list of the substation is obtained, and a corresponding hidden danger handling work list is determined based on the hidden danger list, and hidden dangers of the substation are automatically monitored based on the hidden danger handling work list. This method can be executed by an automatic hidden danger monitoring device of the substation. The automatic hidden danger monitoring device of the substation can be implemented in the form of hardware and / or software. The automatic hidden danger monitoring device of the substation can be configured in an electronic device, which can be a server or a terminal device. Figure 1 As shown, the method includes:

[0029] S110. When a substation hidden danger list uploading operation is detected, a target hidden danger list corresponding to the substation hidden danger list uploading operation is obtained.

[0030] Among them, the substation hidden danger list can be a document used to record problems such as substation equipment aging, insulation performance degradation, wiring errors, and poor operating environment. The target hidden danger list can be understood as the hidden danger list corresponding to the hidden danger list upload operation, that is, the hidden danger list newly added in the power equipment management system.

[0031] Specifically, when a hidden danger sheet upload operation is detected, the data of the uploaded hidden danger sheet can be checked and verified, including but not limited to identity authentication of the uploader, checking of the hidden danger sheet format, and rationality analysis of the hidden danger description content, etc., and then after the verification is completed, the newly uploaded substation hidden danger sheet is used as the target hidden danger sheet. It should be noted that the target hidden danger sheet can be uploaded by the operation and maintenance personnel according to the inspection results, or it can be generated according to the monitoring data during the automatic monitoring process.

[0032] S120: Determine the hidden danger sheet type corresponding to the target hidden danger sheet, and match the corresponding hidden danger handling work sheet according to the hidden danger sheet type.

[0033] Among them, the hidden danger list type can be the type of hidden danger corresponding to the hidden danger list, and the hidden danger list types include substation defect list and environmental risk warning list. The hidden danger handling worksheet can be understood as a workflow for automatically monitoring the current hidden danger type. The substation defect list can be a form for recording substation defect problems. Correspondingly, the environmental risk warning list can be understood as a form generated according to the weather forecast for the substation working environment warning.

[0034] Specifically, after obtaining the target hidden danger list, it is necessary to determine the type of this hidden danger list. The hidden danger list types mainly include substation defect list and environmental risk warning list. Then, according to the determined hidden danger list type, it is necessary to match the hidden danger handling work order corresponding to the hidden danger type. It can be understood that different hidden danger list types require different handling work orders to guide subsequent hidden danger handling operations.

[0035] On the basis of the above technical solution, the matching of the corresponding hidden danger handling work order according to the hidden danger order type includes: when the hidden danger order type is the substation defect order, extracting defect description information from the target hidden danger order according to the data extraction field; determining the hidden danger handling work order corresponding to the target hidden danger order based on the defect description information and preset defect description information.

[0036] The data extraction field may be a pre-set field, and the data extraction field may be a field of the substation defect sheet for recording defect description information. The defect description information may be understood as information for describing the type of defect. The preset defect description information may be a pre-set substation defect type.

[0037] Specifically, it is necessary to determine whether the type of the target hidden danger sheet is a substation defect sheet. The type of the target hidden danger sheet can be determined by checking the identifier or field in the hidden danger sheet. After determining that the type of the target hidden danger sheet is a substation defect sheet, the defect description information is extracted from the target hidden danger sheet. After the defect description information is extracted, the defect description information is compared with the preset defect description information. It should be noted that the preset defect description information can be a database or rule set containing various known defects and their corresponding processing work sheets, or it can be a pre-set substation defect type. Exemplarily, when a new defect appears, the "defect category" and "defect description" keywords in the defect sheet are automatically collected, and then consistency judgment is performed according to the preset judgment conditions to automatically judge whether the new defect is one of the three types of defects "oil filling, gas filling, and heat generation", and mark these three types of defects, that is, "oil filling, gas filling, and heat generation" are preset defect description information.

[0038] On the basis of the above technical solution, the method of determining the hidden danger handling work order corresponding to the target hidden danger list based on the defect description information and the preset defect description information includes: obtaining the substation defect data corresponding to the target hidden danger list when the defect description information matches the preset defect description information; processing the substation defect data according to a preset data calculation formula to determine the patrol judgment value, and generating the hidden danger handling work order according to the patrol judgment value.

[0039] The substation defect data may be the operating data of the substation corresponding to the target hidden danger list, for example, the images taken by the drone and the historical operating data of the substation corresponding to the target hidden danger list. The preset data calculation formula may be understood as a pre-set data processing rule. The inspection judgment value may be an evaluation value obtained by calculation as to whether the substation corresponding to the target hidden danger list needs to be inspected.

[0040] Specifically, to determine whether the defect description information extracted from the target hidden danger list matches the preset defect description information, it can be determined by string comparison and keyword matching whether the defect description information matches the preset defect description information. After determining that the defect description information matches the preset defect description information, obtain detailed data corresponding to the defect from the target hidden danger list or a related database, such as the specific location, size, shape, historical records, etc. of the defect, and then use a preset data calculation formula to process these data to obtain a patrol judgment value corresponding to the target hidden danger list. The patrol judgment value is used to judge the severity and urgency of the defect or whether immediate action is required.

[0041] Exemplarily, when the defect description information matches the preset defect description information, the longitude and latitude of the substation, the equipment interval, the defect location, and the key values ​​of the defect description (heating temperature, oil level, pressure value, current, ambient temperature, defect level, etc.) in the defect list are extracted, and then according to the extracted longitude and latitude of the substation and the equipment interval information, the D5000 system is dispatched to collect the "maximum current value of the defective equipment in the past 12 months", and the "real-time current value" of the equipment is monitored, and the "real-time on-site ambient temperature" of the equipment is monitored through the drone patrol system, and then the maximum current value, real-time current value, and real-time ambient temperature collected in the past 12 months are summarized, and according to the different categories of three defects, the corresponding formulas are preset to automatically calculate their data. It should be noted that the preset data calculation formula is based on industry standards, expert experience or machine learning models, and is used to convert raw defect data into values ​​or indicators that can be used for decision-making. Operation and maintenance personnel can set the data calculation formula corresponding to different defect types according to their needs.

[0042] On the basis of the above technical solution, the hidden danger handling work sheet is generated according to the patrol judgment value, including: obtaining a preset special patrol threshold, and when the patrol judgment value is greater than the preset special patrol threshold, determining the defective substation information according to the substation defect sheet; determining the drone patrol route and the drone patrol position according to the defective substation information, and generating the hidden danger handling work sheet according to the drone patrol route and the drone patrol position.

[0043] The preset special patrol threshold can be understood as a preset threshold for determining whether a drone patrol is required. The defective substation information can be the location and defect location information corresponding to the defective substation. The drone patrol route can be understood as a patrol path for guiding the drone to conduct automatic patrols, and correspondingly, the drone patrol position can be understood as a location that needs to be photographed.

[0044] Specifically, the calculated inspection judgment value is compared with the preset special inspection threshold. If the inspection judgment value is greater than or equal to the special inspection threshold, it means that the severity or urgency of the defect is high and special measures need to be taken. When the inspection judgment value exceeds the special inspection threshold, the relevant information of the substation where the defect is located is extracted from the substation defect list, such as the name, location, equipment number, etc. of the substation, and then the route and specific location of the drone inspection are planned according to the information of the defective substation. For example, the best flight path is selected according to the preset path-finding algorithm, the starting and end points of the inspection are determined, and key inspection points are set. The A* algorithm can be used. According to the drone inspection route and location, as well as other necessary information (such as inspection time, personnel arrangements, safety measures, etc.), a hidden danger handling work order is automatically generated.

[0045] For example, if the calculated value reaches the preset special patrol action value of the three types of defects "oil filling, air filling, and heat generation", the monitoring and tracking system will search and locate the patrol route database in the machine patrol system according to the extracted "substation longitude and latitude, equipment spacing, and defect location" information, and finally generate a machine patrol special patrol list containing the machine specific patrol route and patrol location, and send the machine patrol list to the machine patrol system so that the machine patrol system can perform automatic monitoring according to the machine patrol list.

[0046] S130. Collect hidden danger monitoring data corresponding to the target hidden danger list according to the hidden danger handling work list, and perform hidden danger monitoring according to the hidden danger monitoring data.

[0047] Among them, hidden danger monitoring data can be understood as monitoring data collected through automated patrols by drones.

[0048] Specifically, after matching the hidden danger handling work order, it is necessary to collect the hidden danger monitoring data corresponding to the target hidden danger order according to the requirements of the hidden danger handling work order. The hidden danger monitoring data is obtained by automatically inspecting the substation corresponding to the target hidden danger order through patrol drones, and taking images of the substation corresponding to the target hidden danger order during the inspection process. The captured images are used as the hidden danger monitoring data corresponding to the target hidden danger order, and then hidden danger monitoring is performed based on the collected hidden danger monitoring data. It should be noted that the severity and development trend of hidden dangers can be judged through monitoring data, thereby providing a decision-making basis for subsequent hidden danger handling.

[0049] On the basis of the above technical solution, the hidden danger monitoring according to the hidden danger monitoring data includes: generating a hidden danger evaluation report corresponding to the hidden danger handling work order based on the hidden danger monitoring data, and determining the hidden danger level matching result between the hidden danger evaluation report and the target hidden danger order according to the hidden danger level matching result; determining the hidden danger monitoring plan corresponding to the target hidden danger order according to the hidden danger level matching result.

[0050] The hidden danger evaluation report may be an evaluation report generated after performing hidden danger analysis on the substation corresponding to the target hidden danger list. The hidden danger level matching result may be understood as a matching result obtained by matching the hidden danger level in the hidden danger evaluation report with the hidden danger level in the target hidden danger list.

[0051] Specifically, based on the collected hidden danger monitoring data, a hidden danger assessment report corresponding to the hidden danger handling work order is generated. The hidden danger assessment report contains a detailed description of the hidden danger, the analysis results of the monitoring data, and the risk and impact assessment that the hidden danger may bring. According to the information in the hidden danger assessment report, the matching result between the target hidden danger list and the known hidden danger level is determined. It should be noted that the hidden danger level is usually divided according to the severity and urgency of the hidden danger, and the possible consequences, such as low, medium, and high. According to the hidden danger level matching results, a hidden danger monitoring plan corresponding to the target hidden danger list is formulated, including the monitoring frequency, monitoring methods, monitoring personnel and equipment requirements, and measures to deal with the escalation or deterioration of hidden dangers, etc.

[0052] For example, after receiving the special patrol work order, the drone patrol system conducts special patrols according to the preset patrol routes and patrol locations, and extracts the photos taken by the drone during the special patrol in the drone patrol system, and then uses artificial intelligence algorithms to analyze and judge the photos taken to obtain a "defect description report", and then re-classifies the defects according to the preset defect classification standards based on the "defect description report", compares the "current defect level and defect description" with the "original defect level and defect description", and obtains three different defect processing methods based on the comparison results. If the "new defect description" is compared with the "original defect description" and it is considered that the defect has no further development trend, and the "new defect level" is consistent with the "original defect level", the "normal tracking" processing method for the defect is adopted. Under the "normal tracking" processing mode, only when the calculated value reaches the preset special patrol action value of the oil filling, air filling, and heating defects, a special patrol order is generated to conduct a special patrol on the defect, and the defect description report of this machine patrol is filled in the tracking result column in the defect module of the power grid management platform to facilitate manual comparison by the operating personnel; if the "new defect description" is compared with the "original defect description" and judged, it is considered that the defect has a further development trend, but the "new defect level" has not been upgraded to "major, urgent", then the defect is handled by "close tracking". Under the "close tracking" mode, a "defect close tracking work order" will be regularly added to the machine patrol system every week to increase the frequency of tracking the defect. If the defect develops further during the tracking period, so that the defect level reaches "major, urgent", then the "close tracking" will be changed to "power outage to eliminate the defect" processing mode. If the defect has not reached the level of "major or urgent" during the tracking period, it will be tracked in accordance with the "close tracking" until the defect is finally eliminated and the loop is closed in the defect module of the power grid management platform. The "close tracking" mode will be terminated; if the "new defect description" is compared with the "original defect description" and it is considered that the defect has a further development trend, and the "new defect level" has been upgraded to "major or urgent" and needs to be handled by a power outage, the defect will be immediately handled by a "power outage to eliminate the defect". In the "power outage to eliminate defects" mode, a "power outage maintenance order" for the defective equipment will be automatically generated and reported in the "power grid management platform integrated power outage management module" based on the defect-related information. At the same time, the defect report and "power outage maintenance order" information will be sent to the person in charge of the equipment through elink to remind them to perform a power outage in time to eliminate the defect. In addition, a "defect close tracking work order" will be automatically added to the machine patrol system every day to increase the frequency of tracking the defect again. The defect report will be sent to the person in charge of the equipment through elink to facilitate analysis and judgment. This daily tracking frequency will be continued until the defect is finally eliminated and closed in the defect module of the power grid management platform.

[0053] The technical solution of the embodiment of the present invention, when a substation hidden danger sheet upload operation is detected, obtains the target hidden danger sheet corresponding to the substation hidden danger sheet upload operation, determines the hidden danger sheet type corresponding to the target hidden danger sheet, matches the corresponding hidden danger handling work sheet according to the hidden danger sheet type, and then collects the hidden danger monitoring data corresponding to the target hidden danger sheet according to the hidden danger handling work sheet, and performs hidden danger monitoring according to the hidden danger monitoring data. Based on the above technical solution, when a new hidden danger sheet is detected to be uploaded, the corresponding work sheet is determined by parsing the hidden danger sheet, and the corresponding hidden danger monitoring data is collected according to the work sheet, so as to continuously monitor the hidden dangers of the substation according to the hidden danger monitoring data, thereby improving the efficiency of hidden danger monitoring of the substation.

[0054] Embodiment 2

[0055] Figure 2 The flowchart of a method for automatically monitoring hidden dangers in a substation provided by an embodiment of the present invention is a technical solution for matching the hidden danger handling worksheet with the hidden danger sheet type based on the above embodiment. The specific implementation method can refer to the technical solution of this embodiment. The technical terms that are the same or corresponding to the above embodiment are not repeated here. Figure 2 As shown, the method includes:

[0056] S210: When the hidden danger sheet type is the environmental risk warning sheet, determine the risk category corresponding to the environmental risk warning sheet.

[0057] Among them, risk categories can be understood as categories of environmental risks, which can include low temperature and cold wave warnings, high temperature warnings, typhoon warnings, flood control warnings and other warning categories.

[0058] Specifically, to determine whether the type of the target hazard list is an environmental risk warning list, certain identifiers, fields or contents in the hazard list can be checked to determine. After determining that the hazard list type is an environmental risk warning list, the risk category corresponding to the warning list is further determined. The risk category may include natural disasters (such as floods and earthquakes), environmental pollution (such as air and water pollution), etc.

[0059] S220. Determine a hidden danger handling work sheet corresponding to the environmental risk warning sheet based on the risk category.

[0060] Specifically, the corresponding hidden danger handling work sheet is matched according to the risk category. It should be noted that different risk categories may require different handling work sheets to guide subsequent hidden danger handling operations. The handling work sheet may include risk assessment, monitoring plan, response measures, responsibility allocation and other contents to ensure that environmental risks can be effectively managed and controlled. The technical solution provided by the embodiment of the present invention can quickly respond to environmental risk warning sheets and match the most appropriate hidden danger handling work sheet based on risk categories. It helps to improve the pertinence and efficiency of environmental risk management and ensure the safety and sustainable development of the power grid and its surrounding environment. At the same time, it also reflects the importance of classified management and refined operation and maintenance in power grid environmental risk management.

[0061] On the basis of the above technical solution, the hidden danger handling work sheet corresponding to the environmental risk warning sheet is determined based on the risk category, including: determining the risk impact area based on the environmental risk warning sheet, and determining the affected substation based on the risk impact area; determining the drone inspection time and drone inspection content based on the risk category, and determining the drone inspection route based on the affected substation; determining the hidden danger handling work sheet based on the drone inspection time, the drone inspection content and the drone inspection route.

[0062] Specifically, when a new external risk warning sheet is detected (such as low temperature cold wave warning, high temperature warning, typhoon warning, flood control warning, etc.), extract the "risk category, geographical area, time range" and other information in the external risk warning sheet. According to the extracted information, the risks are divided into three categories: "environmental temperature risk, typhoon risk, and flood control risk". Different risk categories correspond to different special patrol times and special patrol contents. The special patrol time for "environmental temperature risk" is when the on-site ambient temperature reaches the temperature value preset by the system, which triggers a special patrol. The special patrol content is outdoor primary equipment. The special patrol time for "typhoon risk" and "flood control risk" is to conduct a special patrol before the risk begins and a special patrol after the risk ends. The special patrol content is outdoor primary equipment, buildings, and surrounding environment. Then, according to the "geographical area" in the risk warning form, the substations in the area are screened, and the names of the substations affected by the risk are screened out. According to three different risk categories, after meeting the time requirements for special patrols, the patrol route database in the machine patrol system is searched and located, and finally one or more machine patrol special patrol forms containing specific machine patrol routes and patrol locations are generated, and the machine patrol forms are sent to the machine patrol system. After receiving the special patrol work order, the machine patrol system conducts special patrols according to the preset patrol time, patrol route and patrol location, and uses artificial intelligence algorithms to analyze and judge the photos taken after the patrol is completed. Then, the hidden dangers found are divided into "equipment hidden dangers" and "non-equipment hidden dangers". If it is an equipment hidden danger, the system will automatically add the defect to the power grid management platform according to the preset template and report it. At the same time, it will track it according to the defect tracking process. If the defect is a "major or urgent" defect, it will be handled in the "power outage to eliminate the defect" way. If it is a non-equipment hidden danger, such as slope collapse, floating objects, etc., it will be automatically entered into the "safety hidden danger management" module, and tracked once every quarter and the tracking situation will be sent to the person filling in the report through elink.

[0063] The technical solution provided by the embodiment of the present invention, when the type of the hidden danger sheet is the environmental risk warning sheet, determines the risk category corresponding to the environmental risk warning sheet, determines the hidden danger handling work sheet corresponding to the environmental risk warning sheet based on the risk category, determines the risk impact area based on the environmental risk warning sheet, determines the affected substation based on the risk impact area, determines the drone patrol time and drone patrol content based on the risk category, determines the drone patrol route based on the affected substation, and determines the hidden danger handling work sheet based on the drone patrol time, the drone patrol content and the drone patrol route. Based on the above technical solution, a detailed and targeted hidden danger handling work sheet can be formulated for the risk category in the environmental risk warning sheet. This helps to improve the accuracy and efficiency of risk management and ensure the safety of the power grid and its surrounding environment.

[0064] Embodiment 3

[0065] Figure 3 The following is a structural block diagram of a hidden danger automatic monitoring device for a substation provided by an embodiment of the present invention. Figure 3 As shown, the device includes: a hidden danger list acquisition module 310, a work list generation module 320, and an automatic monitoring module 330.

[0066] The hidden danger list acquisition module 310 is used to acquire a target hidden danger list corresponding to the substation hidden danger list upload operation when a substation hidden danger list upload operation is detected;

[0067] A work order generation module 320 is used to determine the type of hidden danger order corresponding to the target hidden danger order, and match the corresponding hidden danger handling work order according to the hidden danger order type, wherein the hidden danger order type includes a substation defect order and an environmental risk warning order;

[0068] The automatic monitoring module 330 is used to collect hidden danger monitoring data corresponding to the target hidden danger list according to the hidden danger handling work list, and perform hidden danger monitoring according to the hidden danger monitoring data.

[0069] Based on the above technical solution, the work order generation module is used to extract defect description information from the target hidden danger order according to the data extraction field when the hidden danger order type is the substation defect order; and determine the hidden danger handling work order corresponding to the target hidden danger order based on the defect description information and preset defect description information.

[0070] On the basis of the above technical solution, the work order generation module is used to obtain the substation defect data corresponding to the target hidden danger order when the defect description information matches the preset defect description information; process the substation defect data according to the preset data calculation formula to determine the inspection judgment value, and generate the hidden danger handling work order according to the inspection judgment value.

[0071] On the basis of the above technical solution, the work order generation module is used to obtain a preset special patrol threshold, and when the patrol judgment value is greater than the preset special patrol threshold, determine the defective substation information according to the substation defect list; determine the drone patrol route and drone patrol position according to the defective substation information, and generate the hidden danger handling work order according to the drone patrol route and the drone patrol position.

[0072] Based on the above technical solution, the work order generation module is used to determine the risk category corresponding to the environmental risk warning form when the hidden danger form type is the environmental risk warning form; and determine the hidden danger handling work form corresponding to the environmental risk warning form based on the risk category.

[0073] Based on the above technical solution, the work order generation module is used to determine the risk impact area based on the environmental risk warning form, and determine the affected substation based on the risk impact area; determine the drone inspection time and drone inspection content based on the risk category, and determine the drone inspection route based on the affected substation; determine the hidden danger handling work order based on the drone inspection time, the drone inspection content and the drone inspection route.

[0074] On the basis of the above technical solution, the automatic monitoring module is used to generate a hidden danger evaluation report corresponding to the hidden danger handling work order based on the hidden danger monitoring data, and determine the hidden danger level matching result between the defect evaluation report and the target hidden danger order according to the hidden danger level matching result; determine the hidden danger monitoring plan corresponding to the target hidden danger order according to the hidden danger level matching result.

[0075] The technical solution of the embodiment of the present invention, when a substation hidden danger sheet upload operation is detected, obtains the target hidden danger sheet corresponding to the substation hidden danger sheet upload operation, determines the hidden danger sheet type corresponding to the target hidden danger sheet, matches the corresponding hidden danger handling work sheet according to the hidden danger sheet type, and then collects the hidden danger monitoring data corresponding to the target hidden danger sheet according to the hidden danger handling work sheet, and performs hidden danger monitoring according to the hidden danger monitoring data. Based on the above technical solution, when a new hidden danger sheet is detected to be uploaded, the corresponding work sheet is determined by parsing the hidden danger sheet, and the corresponding hidden danger monitoring data is collected according to the work sheet, so as to continuously monitor the hidden dangers of the substation according to the hidden danger monitoring data, thereby improving the efficiency of hidden danger monitoring of the substation.

[0076] The device for automatically monitoring hidden dangers of a substation provided by an embodiment of the present invention can execute the method for automatically monitoring hidden dangers of a substation provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0077] Embodiment 4

[0078] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0079] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0080] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0081] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for automatically monitoring hidden dangers in a substation.

[0082] In some embodiments, the method for automatic monitoring of hidden dangers in a substation may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for automatic monitoring of hidden dangers in a substation described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for automatic monitoring of hidden dangers in a substation by any other appropriate means (e.g., by means of firmware).

[0083] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0084] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0085] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0086] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0087] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0088] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0089] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0090] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automatically monitoring hidden dangers of a substation, characterized in that: include: When a substation hidden danger list upload operation is detected, a target hidden danger list corresponding to the substation hidden danger list upload operation is obtained; Determine the type of hidden danger sheet corresponding to the target hidden danger sheet, and match the corresponding hidden danger handling work sheet according to the hidden danger sheet type, wherein the hidden danger sheet type includes a substation defect sheet and an environmental risk warning sheet; According to the hidden danger handling work order, hidden danger monitoring data corresponding to the target hidden danger order is collected, and hidden danger monitoring is performed based on the hidden danger monitoring data.

2. The method according to claim 1, characterized in that The matching of the corresponding hidden danger handling worksheet according to the hidden danger sheet type includes: In the case where the type of the hidden danger sheet is the substation defect sheet, extracting defect description information from the target hidden danger sheet according to the data extraction field; A defect handling work order corresponding to the target defect order is determined based on the defect description information and preset defect description information.

3. The method according to claim 2, characterized in that The determining, based on the defect description information and the preset defect description information, of a hidden danger handling work order corresponding to the target hidden danger order comprises: When the defect description information matches the preset defect description information, acquiring substation defect data corresponding to the target defect list; The substation defect data is processed according to a preset data calculation formula to determine an inspection discrimination value, and the hidden danger handling work sheet is generated according to the inspection discrimination value.

4. The method according to claim 3, characterized in that The step of generating the hidden danger handling worksheet according to the patrol discrimination value comprises: Obtaining a preset special patrol threshold, and determining defective substation information according to the substation defect list when the patrol discrimination value is greater than the preset special patrol threshold; The drone inspection route and the drone inspection position are determined according to the defective substation information, and the hidden danger handling work order is generated according to the drone inspection route and the drone inspection position.

5. The method according to claim 1, characterized in that Match the corresponding hidden danger handling work order according to the hidden danger order type, including: In the case where the hidden danger sheet type is the environmental risk warning sheet, determining the risk category corresponding to the environmental risk warning sheet; A hidden danger handling work sheet corresponding to the environmental risk warning sheet is determined based on the risk category.

6. The method according to claim 5, characterized in that The step of determining the hidden danger handling worksheet corresponding to the environmental risk warning sheet based on the risk category includes: Determine the risk impact area based on the environmental risk early warning list, and determine the affected substations based on the risk impact area; Determine the drone inspection time and content based on the risk category, and determine the drone inspection route based on the affected substation; The hidden danger handling work order is determined based on the drone inspection time, the drone inspection content and the drone inspection route.

7. The method according to claim 1, characterized in that The performing hidden danger monitoring according to the hidden danger monitoring data includes: Generating a hidden danger evaluation report corresponding to the hidden danger handling work order based on the hidden danger monitoring data, and determining a hidden danger level matching result between the hidden danger evaluation report and the target hidden danger order according to the hidden danger level matching result between the hidden danger evaluation report and the target hidden danger order; A hidden danger monitoring plan corresponding to the target hidden danger list is determined according to the hidden danger level matching result.

8. An automatic monitoring device for hidden dangers of a substation, characterized in that: include: A hidden danger list acquisition module is used to acquire a target hidden danger list corresponding to the substation hidden danger list upload operation when a substation hidden danger list upload operation is detected; A work order generation module, used to determine the type of hidden danger order corresponding to the target hidden danger order, and match the corresponding hidden danger handling work order according to the hidden danger order type, wherein the hidden danger order type includes a substation defect order and an environmental risk warning order; The automatic monitoring module is used to collect hidden danger monitoring data corresponding to the target hidden danger list according to the hidden danger handling work list, and perform hidden danger monitoring according to the hidden danger monitoring data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for automatic monitoring of hidden dangers in a substation according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for automatically monitoring hidden dangers of a substation according to any one of claims 1 to 7 when executed.

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