Distribution network construction process monitoring system and method and computer readable storage medium

Abstract

The invention relates to the technical field of data processing. The invention discloses a monitoring system and method for a distribution network construction process and a computer readable storage medium. The monitoring system for the distribution network construction process comprises a power failure information collector, a power failure event analysis unit, a power failure event sending unit and a power failure event monitoring unit. The power failure information collector is used for acquiring power failure event data. And the power failure event analysis unit is used for obtaining the corrected power failure event data. And the power failure event sending unit is used for sending the business processing items with the updated processing priorities to a corresponding application system. And the power failure event monitoring unit is used for monitoring service processing items and obtaining fault node information and the latest state of service processing, and the power failure event monitoring unit displays the fault node information and the information of the service processing items in real time through a visual interface. According to the monitoring system, unified management of power failure event information can be realized, and the safety operation risk of a power grid is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a monitoring system and method for a distribution network construction process and a computer-readable storage medium. Background Art

[0002] With the rapid development of social economy, the demand for electricity continues to rise. The importance of power outage operations for distribution network infrastructure construction, as a key link to ensure the upgrade, optimization and maintenance of the power supply network, has become increasingly prominent.

[0003] For power outages during construction of distribution network infrastructure, the functions of power outage preparation, operation, and construction are scattered among different departments such as the operation and maintenance department, dispatch center, and construction project department. Each department is independent of each other, making it impossible to effectively coordinate between the various links. When a large number of overdue work orders emerge, upstream departments are delayed, and dispatching instructions are delayed, the construction site may be stagnant for a long time. Frequent power outages exceed the planned duration, increasing the risk of safe operation of the power grid. Summary of the invention

[0004] The main purpose of the present invention is to provide a monitoring system, method and computer-readable storage medium for the distribution network construction process, aiming to solve the technical problem that the various links in the distribution network construction process cannot be effectively coordinated, thereby increasing the risk of safe operation of the power grid.

[0005] In order to achieve the above-mentioned object of the invention, a first aspect of the present invention proposes a monitoring system for a distribution network construction process.

[0006] A monitoring system for a distribution network construction process, comprising a power outage information collector, a power outage event analysis unit, a power outage event sending unit and a power outage event monitoring unit; The power outage information collector is used to collect power outage event information, and based on the power outage event information, adopt multi-sensor fusion technology to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors; The power outage event analysis unit is used to pre-process the power outage event data, obtain a standardized power outage measurement data set through data cleaning and normalization; use a data fusion algorithm to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; based on the comprehensive power outage measurement result, determine whether the comprehensive power outage measurement result has a power outage anomaly or a first fault condition through threshold comparison and trend analysis; if a power outage anomaly or a first fault condition is detected, trigger a self-diagnosis mechanism, perform status checks and fault location on each sensor, determine the fault node, and obtain the fault check result and fault node information; based on the fault check result, use an adaptive calibration algorithm to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data; The power outage event sending unit is used to send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain business processing items according to the corrected power outage event data and the fault node information, adjust and optimize the business processing items in real time through a dynamic priority sorting algorithm to obtain business processing items with updated processing priorities, and send the business processing items with updated processing priorities to the corresponding application system; The power outage event monitoring unit is used to monitor the business processing items and obtain the fault node information and the latest status of the business processing items. The power outage event monitoring unit displays the fault node information and the information of the business processing items in real time through a visual interface.

[0007] In one of the embodiments, the monitoring system also includes a power outage event warning unit, which includes a deep learning module and a warning trigger module. The deep learning module is provided with a deep learning dynamic threshold adjustment algorithm. The dynamic threshold adjustment algorithm uses a deep learning framework to build a model, calculates and outputs a warning threshold adapted to the business processing matters in real time, and the warning trigger module is used to compare the real-time monitoring data of the business processing matters with the warning threshold output by the dynamic threshold adjustment algorithm in real time. When the monitoring data exceeds the warning threshold after dynamic adjustment, a warning signal is triggered.

[0008] In one of the embodiments, the power outage information collector is further used to adopt an adaptive data sampling strategy for the power outage event data, dynamically adjust the sampling frequency and accuracy, and obtain optimized power outage event data; The power outage event analysis unit is used to analyze the optimized power outage event data, determine the type and severity of the power outage fault, and determine the second fault condition; if the fault degree of the second fault condition exceeds the preset degree, the power outage event sending unit sends the second fault condition to the corresponding application system, triggering the business processing matter flow of the application system.

[0009] In one of the embodiments, the power outage event monitoring unit obtains the sorting results of the business processing items of the processing priority sent by the power outage event sending unit, and monitors the business processing items of the application system according to the sorting results to generate a monitoring log; if the monitoring log shows that the business processing item is abnormal, the power outage event monitoring unit feeds back the abnormal information to the power outage event sending unit, requesting the power outage event sending unit to re-sort the business processing items; the power outage event sending unit adopts rule engine technology to dynamically adjust the priority sorting rules according to the feedback information of the power outage event monitoring unit to obtain an optimized sorting result.

[0010] In one of the embodiments, the power outage information collector is also used to compress the power outage event data according to the power outage event information using data compression technology to obtain the compressed power outage event data; extract key feature parameters from the compressed power outage event data using feature extraction technology to obtain extracted feature data; use parallel computing technology to parallel process the feature data; and use distributed storage technology to distribute the feature data after parallel processing.

[0011] In one of the embodiments, the power outage event data collected by the power outage information collector includes potential data, current data and temperature data, and multi-source heterogeneous data is obtained according to the potential data, the current data and the temperature data; the multi-source heterogeneous data is processed by using data fusion technology to establish a unified data model to obtain normalized data; semantic mapping is performed through the unified data model to establish an association between the potential data, the current data and the temperature data to obtain mutually associated data; The power outage event analysis unit is used to analyze the interrelated data and trigger an alarm if the interrelated data is abnormal.

[0012] In one embodiment, the business processing matters include any one or more combinations of on-site investigation, preparation of construction plans, formulation of power outage plans, preparation and review of operation tickets, power transfer operations, power outage operations, job execution, and power restoration operations.

[0013] A second aspect of the present invention provides a method for monitoring a distribution network construction process, which is applied to the monitoring system for the distribution network construction process, and comprises the following steps: Collecting power outage event information, and based on the power outage event information, using multi-sensor fusion technology to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors; Preprocess the power outage event data, and obtain a standardized power outage measurement data set through data cleaning and normalization; adopt a data fusion algorithm to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; based on the comprehensive power outage measurement result, determine whether the comprehensive power outage measurement result has a power outage anomaly or a first fault condition through threshold comparison and trend analysis; if a power outage anomaly or a first fault condition is detected, trigger a self-diagnosis mechanism, perform status checks and fault location on each sensor, determine the fault node, and obtain the fault check result and fault node information; based on the fault check result, adopt an adaptive calibration algorithm to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data; Send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain business processing items based on the corrected power outage event data and the fault node information, adjust and optimize the business processing items in real time through a dynamic priority sorting algorithm to obtain business processing items with updated processing priorities, and send the business processing items with updated processing priorities to corresponding application systems; The business processing items are monitored to obtain fault node information and the latest status of the business processing items. The power outage event monitoring unit displays the fault node information and the information of the business processing items in real time through a visual interface.

[0014] A third aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the above-mentioned method for monitoring the distribution network construction process.

[0015] Beneficial effects: The monitoring system of the distribution network construction process of the present invention includes a power outage information collector, a power outage event analysis unit, a power outage event sending unit and a power outage event monitoring unit. The power outage information collector is used to collect power outage event information. According to the power outage event information, a multi-sensor fusion technology is adopted to obtain redundant and complementary power outage event data through the collaborative measurement of multiple sensors. The power outage event analysis unit is used to pre-process the power outage event data, and obtain a standardized power outage measurement data set through data cleaning and normalization; a data fusion algorithm is adopted to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; according to the comprehensive power outage measurement result, through threshold comparison and trend analysis, it is judged whether the comprehensive power outage measurement result has a power outage anomaly or a first fault condition; if a power outage anomaly or a first fault condition is detected, the self-diagnosis mechanism is triggered, and each sensor is checked for status and fault location, the fault node is determined, and the fault inspection result and fault node information are obtained; according to the fault inspection result, an adaptive calibration algorithm is adopted to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data. The power outage event sending unit is used to send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain the business processing items based on the corrected power outage event data and the fault node information, and adjust and optimize the business processing items in real time through the dynamic priority sorting algorithm to obtain the business processing items with updated processing priorities, and send the business processing items with updated processing priorities to the corresponding application system. The power outage event monitoring unit is used to monitor the business processing items, obtain the latest status of the fault node information and the business processing items, and the power outage event monitoring unit displays the fault node information and the business processing items in real time through a visual interface.

[0016] All departments can intuitively understand the real-time progress of power outage event handling through the monitoring unit, so as to achieve unified management of power outage event information, thereby strengthening the coordinated linkage of various departments on power outage events and reducing the risk of safe operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a structural schematic diagram of a monitoring system for a distribution network construction process according to an embodiment of the present invention.

[0018] in: 100. Power outage information collector; 200. Power outage event analysis unit; 300. Power outage event sending unit; 400. Power outage event monitoring unit.

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0022] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0024] like Figure 1 As shown, in some embodiments, a monitoring system for a distribution network construction process includes a power outage information collector 100, a power outage event analysis unit 200, a power outage event sending unit 300, and a power outage event monitoring unit 400. The power outage information collector 100 is used to collect power outage event information, and based on the power outage event information, a multi-sensor fusion technology is used to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors. The power outage event analysis unit 200 is used to pre-process the power outage event data, which is the data before optimization processing. Through data cleaning and normalization, a standardized power outage measurement data set is obtained; a data fusion algorithm (such as weighted average, Kalman filtering, etc.) is used to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; based on the comprehensive power outage measurement result, through threshold comparison and trend analysis, it is determined whether the comprehensive power outage measurement result has a potential anomaly or a first fault condition; if a potential anomaly or a first fault condition is detected, the self-diagnosis mechanism is triggered to perform a status check and fault location on each sensor, determine the fault node, and obtain the fault check result and fault node information; based on the fault check result, an adaptive calibration algorithm is used to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data. The power outage event sending unit 300 is used to send the fault node information and the corrected power outage event data to the power outage event monitoring unit 400 to update the fault node information. The business processing items are obtained according to the corrected power outage event data and the fault node information. Through the dynamic priority sorting algorithm, the business processing items are adjusted and optimized in real time to obtain the business processing items with updated processing priority, and the business processing items with updated processing priority are sent to the corresponding application system. The power outage event monitoring unit 400 is used to monitor business processing items and obtain fault node information and the latest status of business processing items. The power outage event monitoring unit 400 displays the fault node information and business processing item information in real time through a visual interface.

[0025] The power outage event monitoring unit 400 monitors the business processing items in real time and displays the fault node information and the business processing item information. Each department can intuitively understand the real-time progress of the power outage event processing through the power outage event monitoring unit 400, so as to achieve unified management of the power outage event information, thereby strengthening the coordination and linkage of various departments on the power outage event and reducing the risk of safe operation of the power grid.

[0026] The monitoring system solves the problems of collecting, analyzing, sending and monitoring power outage event information in the distribution network construction process through the collaboration of multiple units. The power outage information collector 100 collects power outage event information to ensure timely acquisition of information. The power outage event analysis unit 200 analyzes the collected information and extracts the power outage fault node information to ensure the accuracy and availability of the information. The power outage event sending unit 300 sends the fault node information to the corresponding application system to ensure the timeliness of information transmission and business processing matters. The power outage event monitoring unit 400 monitors business processing matters and displays the fault node information and business processing matter information to ensure the transparency and controllability of the entire process.

[0027] In some embodiments, the power outage information collector 100 is composed of various power outage event adapters, which can collect power outage event information from the data source end system, and can collect various power outage event information from the data source end system that integrates multiple professional systems such as production, scheduling, and marketing. It should be noted that the power outage event information includes but is not limited to various power outage data such as planned power outages, fault power outages, power outages due to arrears, power transfer power outages, and low-voltage power outages.

[0028] It should be noted that the power outage event adapter in the power outage information collector 100 can be expanded or deleted according to actual application conditions, so that various power outage event information can be flexibly obtained.

[0029] The power outage information collector 100 serves as the data entry for the entire monitoring system and is responsible for collecting power outage event information from the data source end system. The data source end system can cover multiple business systems within the power company. For example, the power grid operation monitoring system (recording real-time power grid status data), the power outage reporting management system (including power outage plans, applications and other related information) and the on-site construction feedback system (actual power outage conditions reported by construction personnel). The power outage information collector 100 uses a pre-set data interface protocol and accurately extracts data related to power outage events from these data sources according to a certain time interval or event trigger mechanism. These data may include basic information such as the time of the power outage, the scope of the power outage, the lines involved, and the initial cause of the power outage.

[0030] Specifically, the power outage information collector 100 is also used to adopt an adaptive data sampling strategy for the power outage event information, dynamically adjust the sampling frequency and accuracy, and obtain optimized power outage event data. The power outage event analysis unit 200 is used to analyze the optimized power outage event data, determine the type and severity of the power outage fault, and determine the second fault condition. If the fault degree of the second fault condition exceeds the preset degree, the power outage event sending unit 300 sends the second fault condition to the corresponding application system, triggering the business processing matter flow of the application system.

[0031] The power outage information collector 100 is also used to compress the power outage event data using data compression technology according to the power outage event information to obtain compressed power outage event data; extract key feature parameters from the compressed power outage event data using feature extraction technology to obtain extracted feature data; use parallel computing technology to process the feature data in parallel; use distributed storage technology to store the parallel processed feature data in a distributed manner. For example, the monitoring system first uses Huffman coding to compress the power outage event data. Then, multiple key feature parameters such as voltage, current, frequency, etc. are extracted from the compressed power outage event data using feature extraction algorithms such as wavelet transform. The extracted feature data is transmitted to the power outage event analysis unit 200 via the optical fiber network. On the power outage event analysis unit 200, the feature data is processed using the MapReduce parallel computing framework. The processed feature data is stored using the distributed file system HDFS, and the storage capacity can reach the PB level.

[0032] Specifically, the power outage event data collected by the power outage information collector 100 includes potential data, current data and temperature data, obtaining multi-source heterogeneous data; data fusion technology is used to process the multi-source heterogeneous data, establish a unified data model, and obtain normalized data; semantic mapping is performed through the unified data model, and the association between the potential data, current data and temperature data is established to obtain interrelated data; the power outage event analysis unit 200 is used to analyze the interrelated data, and if the interrelated data is abnormal, an alarm is triggered.

[0033] In some embodiments, after the power outage event analysis unit 200 is connected to the power outage information collector 100, it receives the power outage event information collected by the power outage information collector 100, and uses the data analysis algorithm and the professional power fault diagnosis rule library to deeply analyze the information. For example, by analyzing the line topology structure involved in the power outage range, comparing the characteristics of similar historical power outage events, and combining the real-time equipment operation parameters, the specific cause of the power outage fault can be determined (equipment failure, such as transformer damage, line short circuit, or human operation error, external environmental factors, etc.), and the specific location of the fault, the severity level of the fault and other power outage fault information can be further determined.

[0034] The power outage event analysis unit 200 can be based on data classification rules. Classification is performed according to different attributes and categories of power outage event information. For example, according to the cause of the power outage, it can be divided into equipment failure, human operation error, and external environmental impact. According to the scope of the power outage, it can be divided into local power outages, regional power outages, and large-scale power outages. According to the time attribute of the power outage, it can be divided into planned power outages and sudden power outages. Through such classification, the subsequent analysis unit can focus more clearly on the specific circumstances corresponding to different types of power outage events, thereby improving the efficiency and pertinence of the analysis.

[0035] In some embodiments, after obtaining the power outage fault information obtained by the power outage event analysis unit 200, the power outage event sending unit 300 sends the fault information to the corresponding application system according to the preset communication protocol and the interface requirements of the target application system. The application system may include an emergency repair dispatch system, a customer service system, and a power grid operation optimization system, etc., to ensure that the information can be accurately delivered to each target system and trigger subsequent business processing matters.

[0036] In some embodiments, the power outage event sending unit 300 has a dynamic business processing item priority sorting engine. The power outage event sending unit 300 adopts a multi-objective optimization algorithm, comprehensively considering the importance of the power outage area (such as the density of primary loads such as hospitals and transportation hubs), the estimated duration of the power outage, the difficulty of allocating resources required to restore power supply, and other multiple factors, and assigns a dynamic priority score to each power outage fault information. The power outage event sending unit 300 can automatically update the priority sorting every few minutes based on the real-time changing external environment and the operation status of the power grid, ensuring that the business processing item requests corresponding to the most urgent and most influential power outage faults are delivered to key application systems as soon as possible, such as the emergency command center, the emergency repair resource scheduling platform, etc., greatly optimizing the efficiency of emergency repair resource allocation and ensuring the uninterrupted operation of key social functions.

[0037] It should be noted that the power outage event sending unit 300 can be implemented in a variety of ways. For example, the preset sorting rules can be implemented through software algorithms, and the power outage information can be classified and sorted according to multiple dimensions such as the type, occurrence time, and impact range of the power outage information. The power outage event sorting unit can also speed up the sorting process through hardware devices, such as dedicated data processing chips. In addition, the power outage event sorting unit can be combined with a cloud computing platform to efficiently sort a large amount of power outage information using the powerful processing and storage capabilities of cloud computing.

[0038] In some embodiments, the power outage event monitoring unit 400 is connected to the power outage event sending unit 300. The power outage event monitoring unit 400 is used to monitor the entire process after sending the corresponding business processing items in real time. The power outage event monitoring unit 400 continuously tracks the execution progress of the business processing item process. The power outage event monitoring unit 400 also collects feedback information generated during the business processing items, integrates fault information and information on business processing items, and displays it through an intuitive visual interface (such as dashboards, charts, maps, etc.), so that different roles such as managers and operation and maintenance personnel of power companies can grasp the overall processing of power outage events, discover potential problems in time and intervene.

[0039] The power outage event monitoring unit 400 obtains the sorting results of the business processing items of the processing priority sent by the power outage event sending unit 300, and monitors the business processing items of the application system according to the sorting results to generate a monitoring log; if the monitoring log shows that the business processing items are abnormal, the power outage event monitoring unit 400 feeds back the abnormal information to the power outage event sending unit 300, requesting the power outage event sending unit 300 to re-sort; the power outage event sending unit 300 adopts rule engine technology to dynamically adjust the priority sorting rules according to the feedback information of the power outage event monitoring unit 400 to obtain an optimized sorting result.

[0040] In some embodiments, business processing matters include any one or more combinations of on-site investigation, preparation of construction plans, formulation of power outage plans, preparation and review of operation tickets, power transfer operations, power outage operations, job execution, and power restoration operations.

[0041] Specifically, when the power outage event sending unit 300 sends the business processing items to the corresponding application system, if the on-site investigation business processing items are triggered, the relevant department will organize professionals to go to the power outage site. The investigation content includes on-site inspection of the actual conditions of the lines and equipment involved in the power outage, checking whether there is obvious physical damage, verifying the surrounding environmental factors, and confirming the safety conditions of the site.

[0042] Specifically, the construction plan is prepared based on the data fed back from the on-site investigation and the power outage fault information, and professional technicians are responsible for preparing the construction plan. The construction plan covers the specific steps of the construction, the human and material resources required, the construction schedule, safety measures and other details. For example, if the on-site investigation finds that a certain section of the line is aging and needs to be replaced, the construction plan will plan in detail how to replace the line in sections, what specifications of new lines are needed, and how many aerial workers are arranged. The preparation of the construction plan is usually based on receiving the comprehensive and accurate information transmitted by the power outage event sending unit 300, and systematic planning is carried out by comprehensively considering various factors to ensure that the construction process is carried out scientifically, orderly and safely.

[0043] Specifically, the formulation of a power outage plan is a key link in coordinating resources from multiple parties and ensuring that the impact of power outage construction on users is minimized. Based on the power outage fault information and the overall arrangement of the construction plan, combined with the operation status of the power grid, the dispatching department will work together with the construction department to formulate a power outage plan. The plan clearly specifies the specific time interval and scope of the power outage, and announces the notice in advance so that users can prepare in advance.

[0044] Specifically, the operation ticket writing ensures that the operator performs the operation accurately according to the established process to avoid safety accidents caused by human error. After receiving the relevant information of the power outage event and the power outage plan, qualified operation operators will write the operation ticket according to the standard operating procedures and the actual situation on site. The content includes detailed information such as operation tasks, operation sequence, name and number of the operating equipment, etc. After writing, it must undergo strict review at multiple levels, and can only be used as the basis for on-site operations after passing the review.

[0045] Specifically, when the power outage line is ready for power transfer, on-site operators will perform power transfer operations according to the power outage plan and operation ticket requirements to transfer part or all of the load in the power outage area to other power sources with normal power supply, so as to minimize the scope and duration of the power outage on users.

[0046] Specifically, after the power outage operation is completed and the on-site safety measures are in place, the construction personnel will start specific work tasks according to the construction plan, such as line replacement, equipment maintenance, installation and other construction operations. During the operation, the safety operation procedures must be strictly followed to ensure the quality of construction. At the same time, the on-site person in charge must promptly feedback the construction progress, problems encountered and other information to the system so that the system can grasp the operation dynamics in real time and coordinate resources to solve abnormal situations in a timely manner.

[0047] Specifically, when the construction task is completed and the quality inspection is passed, the power restoration operation is carried out according to the requirements of the operation ticket, and the power supply of the lines and equipment in the power outage area is gradually restored. The power restoration operation requires the insulation test of the line and the no-load test run of the equipment. After confirming that there are no abnormalities, the power supply of all loads is gradually restored to ensure that the power restoration process is safe and reliable, and avoid problems such as power outages or equipment damage caused by improper operation.

[0048] In some embodiments, the monitoring system further includes a power outage event warning unit. The power outage event warning unit is connected to the power outage event monitoring unit 400, and is used to issue a warning when an abnormality occurs in a business processing item.

[0049] It should be noted that the abnormality of business processing items can be judged based on the time dimension. There are corresponding reasonable time expectations for different business processing items. For example, the on-site investigation needs to be completed and the investigation results must be fed back within the preset time after receiving the task. If the preset time is exceeded, the power outage event warning unit can detect the time abnormality and determine that there is a delay in the on-site investigation.

[0050] Abnormalities in business processing can be judged based on data indicators. In the process of business processing, each operation will involve a series of key data indicators. For example, when transferring power, it is necessary to monitor the load changes of the transfer power line in real time. If the load suddenly exceeds the preset safe load range, or the voltage fluctuation exceeds the normal fluctuation range, the power outage event warning unit will judge that there is a problem with the transfer power operation based on these abnormal data indicators.

[0051] Abnormalities in business processing can be based on the judgment of process compliance. The writing and review of operation tickets have strict process specifications and safety standards. If the operation sequence in the written operation ticket does not comply with the power safety operation procedures, or the review process lacks the necessary signature approval process, the power outage event warning unit can identify such abnormalities of process non-compliance and issue a warning by analyzing the process data related to the operation ticket.

[0052] When the power outage warning unit determines that a business transaction is abnormal, it can issue warnings in a variety of ways to ensure that relevant personnel can receive abnormal information in a timely manner and take countermeasures. Warning methods include system pop-up reminders, SMS notifications, and sound and light alarms.

[0053] A striking warning window pops up on the operating interface of the monitoring system, showing in detail the link where the abnormality occurred and the specific abnormal content, making it convenient for managers, dispatchers, etc. who are viewing the system to know the situation at the first time.

[0054] The exception information is sent to the pre-set relevant responsible persons in the form of text messages. The text message content covers the key exception points and urgency prompts, so that the responsible persons can receive notifications and respond in time even if they are not in front of the system.

[0055] Sound and light alarms are installed in some key on-site operation locations. When an abnormal situation that seriously affects safety occurs, the on-site alarm is activated, and strong sound and light signals are used to remind on-site operators to immediately stop operations, avoid further expansion of the accident, and ensure the safety of on-site personnel and equipment.

[0056] In some embodiments, the power outage event warning unit includes a deep learning module and a warning trigger module. The deep learning module is connected to the warning trigger module. A deep learning dynamic threshold adjustment algorithm is set in the deep learning module. The dynamic threshold adjustment algorithm uses a deep learning framework to build a model, and calculates and outputs the warning threshold adapted to the business processing matters in real time. The warning trigger module is used to compare the real-time monitoring data of the business processing matters with the warning threshold output by the dynamic threshold adjustment algorithm. When the monitoring data exceeds the warning threshold after dynamic adjustment, a warning signal is triggered.

[0057] The dynamic threshold adjustment algorithm of the deep learning module can build models using a variety of deep learning frameworks, such as TensorFlow, PyTorch, etc. Specifically, the deep learning module can continuously adjust and optimize the warning threshold based on historical data and real-time monitoring data by training the neural network model. The warning trigger module can quickly compare the monitoring data with the dynamic threshold through real-time data stream processing technology to ensure the timely triggering of the warning signal. As a preferred embodiment, the deep learning module can use convolutional neural networks or recursive neural networks to process different types of monitoring data to improve the accuracy of the warning.

[0058] By adopting the deep learning module and the early warning trigger module, the accuracy and real-time problems of the early warning system in the distribution network construction process can be effectively solved. Compared with the existing technology, the technical solution of this application can dynamically adjust the early warning threshold and adapt to different operating conditions in real time, which significantly improves the response speed and accuracy of the early warning system, reduces the possibility of false alarms and missed alarms, and ensures the safe operation of the distribution network.

[0059] Compared with the fixed threshold warning method of related technologies, the dynamic threshold adjustment algorithm of deep learning can adaptively determine the appropriate warning threshold according to the complex and changeable operating conditions of the distribution network. The dynamic threshold of deep learning can capture the dynamic change characteristics of various parameters under different seasons, different power consumption periods, and different power grid load conditions, thereby improving the accuracy and adaptability of the warning threshold.

[0060] In some embodiments, a method for monitoring a distribution network construction process is applied to the above-mentioned distribution network construction process monitoring system, comprising the following steps: S100, collecting power outage event information, and using multi-sensor fusion technology to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors based on the power outage event information.

[0061] S200. Preprocess the power outage event data to obtain a standardized power outage measurement data set through data cleaning and normalization; use a data fusion algorithm to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; based on the comprehensive power outage measurement result, determine whether there is a power outage anomaly or a first fault condition in the comprehensive power outage measurement result through threshold comparison and trend analysis; if a power outage anomaly or a first fault condition is detected, trigger a self-diagnosis mechanism to perform status checks and fault location on each sensor, determine the fault node, and obtain the fault check result and fault node information; based on the fault check result, use an adaptive calibration algorithm to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data.

[0062] S300. Send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain the business processing items based on the corrected power outage event data and the fault node information, and adjust and optimize the business processing items in real time through a dynamic priority sorting algorithm to obtain the business processing items with updated processing priorities, and send the business processing items with updated processing priorities to the corresponding application systems.

[0063] S400, monitoring business processing items, obtaining fault node information and the latest status of business processing items, and the power outage event monitoring unit displays the fault node information and business processing item information in real time through a visual interface.

[0064] Specifically, the business processing items for sending responses are monitored by the power outage event monitoring unit.

[0065] In some embodiments, before the step of collecting power outage event information, the step further includes: S110. Obtain a planned power outage application.

[0066] S120, determining whether the number of historical power outages of the power outage users who applied for the planned power outage and the number of households affected by the planned power outage exceed a preset value.

[0067] S130: If the number of historical power outages of the power outage users and the number of households affected by the planned power outage do not exceed the preset value, the planned power outage application is executed.

[0068] S140. Send the business data of the power outage event corresponding to the planned power outage application to the data source end system.

[0069] It should be noted that by adding a rationality judgment step for planned power outage applications before collecting power outage event information, the rationality and necessity of the power outage operation can be ensured, thereby improving the efficiency and reliability of power outage management.

[0070] Obtaining a planned power outage application means that before executing any power outage operation, all planned power outage application information must first be collected and recorded. Judging whether the number of historical power outages and the number of households affected exceeds the preset value means evaluating the number of past power outages and the degree of impact of planned power outages on users through system query and calculation. If it does not exceed the preset value, the planned power outage application is executed and the relevant data is sent to the data source end system.

[0071] By adding a rationality judgment step for planned power outage applications before collecting power outage event information, unreasonable power outage plans can be effectively screened out and unnecessary power outage operations can be avoided. As a result, the efficiency and reliability of power outage management can be improved, the number of unnecessary power outages can be reduced, and the impact on users can be reduced, thereby optimizing the operation and management of the power grid.

[0072] Specifically, before the step of collecting power outage event information, the step also includes: S150. Obtain a planned power outage application.

[0073] S160. Determine whether the planned power outage line of the planned power outage application is qualified for power transfer.

[0074] S170. If the planned power outage line of the planned power outage application does not meet the conditions for power transfer, the planned power outage application is executed.

[0075] S180. Send the business data of the power outage event corresponding to the planned power outage application to the data source end system.

[0076] It should be noted that the purpose of obtaining a planned power outage application is to understand the conditions of the lines that need to be shut down in advance. Judging whether the planned power outage lines of the planned power outage application are qualified for power transfer is to ensure whether power can continue to be supplied through other lines during the planned power outage, thereby reducing the impact on users. If the planned power outage lines of the planned power outage application do not meet the conditions for power transfer, the planned power outage application is directly executed to ensure the smooth progress of the construction process. The business data of the power outage event corresponding to the planned power outage application is sent to the data source end system in order to record and track the information of the power outage event for subsequent analysis and processing. Through the above steps, the problem of whether the planned power outage lines are qualified for power transfer can be effectively solved, ensuring that the power transfer can be reasonably arranged during the planned power outage, thereby reducing the impact on users and ensuring the smooth progress of the construction process.

[0077] In some embodiments, the step of sending the updated business processing items with processing priorities to the corresponding application systems includes: S310, constructing a three-dimensional model module with visualization presentation capability.

[0078] S320. Design an interactive operation interface based on the three-dimensional model module.

[0079] S330: Determine whether the permission requirements are met.

[0080] S340. If so, the interactive operation interface can be triggered to send the business processing items with updated processing priorities to the corresponding application system.

[0081] It should be noted that by building a three-dimensional model module with visual presentation capabilities, various business processing items in the distribution network construction process can be intuitively displayed. An interactive operation interface is designed to enable users to perform interactive operations based on the three-dimensional model. Through authority judgment, it is ensured that only users with corresponding authorities can trigger the interactive operation interface and send business processing instructions. In this way, through visualization and interactive operations, the intuitiveness and operability of the distribution network construction process are improved.

[0082] Construct a 3D model module with visualization capabilities. Specifically, computer graphics technology can be used to generate a 3D model of the distribution network construction scene. Design an interactive operation interface based on the user experience design principles to provide intuitive operation buttons and menus to facilitate users to handle business matters. Permission judgment can be achieved through the user identity authentication system to ensure that only authorized users can perform operations. Triggering the interactive operation interface and sending business processing instructions can be achieved through the network communication module, transmitting the user's operation instructions to the background system for processing.

[0083] By introducing three-dimensional models and interactive operation interfaces, the visualization and interactivity of the distribution network construction process are improved, which has higher user-friendliness and operational efficiency, and can significantly improve the management level and work efficiency of the distribution network construction process.

[0084] In some embodiments, a computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used in a method for monitoring a distribution network construction process.

[0085] The computer-readable storage medium in this embodiment can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, 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 above. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In this embodiment, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0086] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A monitoring system for distribution network construction process, characterized in that: It includes a power outage information collector, a power outage event analysis unit, a power outage event sending unit and a power outage event monitoring unit; The power outage information collector is used to collect power outage event information, and based on the power outage event information, adopt multi-sensor fusion technology to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors; The power outage event analysis unit is used to pre-process the power outage event data to obtain a standardized power outage measurement data set through data cleaning and normalization; Using a data fusion algorithm to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; According to the comprehensive power outage measurement result, through threshold comparison and trend analysis, it is determined whether the comprehensive power outage measurement result has a power outage anomaly or a first fault condition; if a power outage anomaly or a first fault condition is detected, a self-diagnosis mechanism is triggered to perform a status check and fault location on each sensor, determine the fault node, and obtain a fault check result and fault node information; According to the fault inspection result, an adaptive calibration algorithm is used to calibrate the non-faulty sensors in real time to compensate for the measurement error and obtain the corrected power outage event data; The power outage event sending unit is used to send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain business processing items according to the corrected power outage event data and the fault node information, adjust and optimize the business processing items in real time through a dynamic priority sorting algorithm to obtain business processing items with updated processing priorities, and send the business processing items with updated processing priorities to the corresponding application system; The power outage event monitoring unit is used to monitor the business processing items and obtain the fault node information and the latest status of the business processing items. The power outage event monitoring unit displays the fault node information and the information of the business processing items in real time through a visual interface.

2. The monitoring system according to claim 1, characterized in that: The monitoring system also includes a power outage event warning unit, which includes a deep learning module and a warning trigger module. The deep learning module is provided with a deep learning dynamic threshold adjustment algorithm. The dynamic threshold adjustment algorithm uses a deep learning framework to build a model, and calculates and outputs a warning threshold adapted to the business processing matters in real time. The warning trigger module is used to compare the real-time monitoring data of the business processing matters with the warning threshold output by the dynamic threshold adjustment algorithm in real time. When the monitoring data exceeds the warning threshold after dynamic adjustment, a warning signal is triggered.

3. The monitoring system according to claim 1, characterized in that: The power outage information collector is also used to adopt an adaptive data sampling strategy for the power outage event data, dynamically adjust the sampling frequency and accuracy, and obtain optimized power outage event data; The power outage event analysis unit is used to analyze the optimized power outage event data, determine the type and severity of the power outage fault, and determine the second fault condition; if the fault degree of the second fault condition exceeds the preset degree, the power outage event sending unit sends the second fault condition to the corresponding application system, triggering the business processing matter flow of the application system.

4. The monitoring system according to claim 1, characterized in that: The power outage event monitoring unit obtains the ranking result of the business processing items of the processing priority sent by the power outage event sending unit, and monitors the business processing items of the application system according to the ranking result to generate a monitoring log; If the monitoring log shows that the business processing items are abnormal, the power outage event monitoring unit will feed back the abnormal information to the power outage event sending unit, requesting the power outage event sending unit to reorder the business processing items; the power outage event sending unit uses rule engine technology to dynamically adjust the priority sorting rules based on the feedback information of the power outage event monitoring unit to obtain an optimized sorting result.

5. The monitoring system according to claim 1, characterized in that: The power outage information collector is also used to compress the power outage event data according to the power outage event information using data compression technology to obtain the compressed power outage event data; extract key feature parameters from the compressed power outage event data using feature extraction technology to obtain extracted feature data; use parallel computing technology to parallel process the feature data; and use distributed storage technology to distribute the feature data after parallel processing.

6. The monitoring system according to claim 1, characterized in that: The power outage event data collected by the power outage information collector includes potential data, current data and temperature data, and multi-source heterogeneous data is obtained according to the potential data, the current data and the temperature data; The multi-source heterogeneous data are processed by using data fusion technology to establish a unified data model to obtain normalized data; semantic mapping is performed through the unified data model to establish associations between the potential data, the current data and the temperature data to obtain mutually associated data; The power outage event analysis unit is used to analyze the interrelated data and trigger an alarm if the interrelated data is abnormal.

7. The monitoring system according to claim 1, characterized in that: The business processing matters include any one or more combinations of on-site investigation, preparation of construction plans, formulation of power outage plans, preparation and review of operation tickets, power supply transfer operations, power outage operations, job execution, and power restoration operations.

8. A method for monitoring a distribution network construction process, characterized in that: A monitoring system for a distribution network construction process according to any one of claims 1 to 7, comprising the following steps: Collecting power outage event information, and based on the power outage event information, using multi-sensor fusion technology to obtain redundant and complementary power outage event data through collaborative measurement of multiple sensors; Preprocess the power outage event data, and obtain a standardized power outage measurement data set through data cleaning and normalization; adopt a data fusion algorithm to fuse the standardized power outage measurement data set to obtain a comprehensive power outage measurement result; based on the comprehensive power outage measurement result, determine whether the comprehensive power outage measurement result has a power outage anomaly or a first fault condition through threshold comparison and trend analysis; if a power outage anomaly or a first fault condition is detected, trigger a self-diagnosis mechanism, perform status checks and fault location on each sensor, determine the fault node, and obtain the fault check result and fault node information; based on the fault check result, adopt an adaptive calibration algorithm to perform real-time calibration on non-faulty sensors, compensate for measurement errors, and obtain corrected power outage event data; Send the fault node information and the corrected power outage event data to the power outage event monitoring unit to update the fault node information; obtain business processing items based on the corrected power outage event data and the fault node information, adjust and optimize the business processing items in real time through a dynamic priority sorting algorithm to obtain business processing items with updated processing priorities, and send the business processing items with updated processing priorities to corresponding application systems; The business processing items are monitored to obtain fault node information and the latest status of the business processing items. The power outage event monitoring unit displays the fault node information and the information of the business processing items in real time through a visual interface.

9. A computer-readable storage medium, characterized in that: Computer executable instructions are stored, and the computer executable instructions are used to execute the monitoring method for the distribution network construction process described in claim 8.

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