A Visualized Automatic Dispatch Method and System for Operators
By using SCADA systems and status diagnostic models to obtain real-time status of power grid equipment and operators, the problems of information lag and task imbalance in dispatching have been solved, enabling the power grid to respond quickly and utilize resources efficiently.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
- Filing Date
- 2026-02-03
- Publication Date
- 2026-05-26
AI Technical Summary
In power system dispatching, the dispatching master station cannot obtain the status information of the operation team in real time, which leads to delayed dispatching decisions, uneven task allocation, and a lack of dynamic correlation between task characteristics and team attributes, affecting the power grid response speed and resource utilization.
By acquiring real-time power grid equipment parameters and operator status through the SCADA system, and combining the status diagnosis model and GIS visualization platform, the system can achieve real-time fusion and dynamic scheduling of power grid equipment status and operator status, and automatically select the most suitable operator for task allocation.
It has achieved a significant improvement in the speed of power grid fault response, the balance and accuracy of task allocation, reduced the risk of overload operation, and improved the safety and stability of power grid operation.
Smart Images
Figure CN122088933A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of automatic operator scheduling technology, and in particular to a visualization-based automatic operator scheduling method and system. Background Technology
[0002] As a fundamental infrastructure of modern society, the stable operation and efficient dispatch of power systems are crucial. For example, patent document CN119089401A utilizes layered data acquisition and preprocessing, combined with a deep learning-enhanced spatiotemporal data fusion model and dynamic adaptive strategies to achieve intelligent aggregation of multi-source operation and maintenance data. This method emphasizes developing intelligent data distribution strategies to dynamically optimize transmission paths and bandwidth resource allocation, and integrates an AI-powered real-time monitoring system to monitor microgrid status. Once an anomaly or potential risk is detected, the system can automatically issue warnings and provide feedback to the dispatch system and operators through a visual interface, significantly improving the operation and maintenance efficiency and safety of microgrids. This data fusion mechanism helps process heterogeneous data from multiple sources such as sensors, equipment logs, and environmental monitoring, ensuring efficient integration and utilization of information. In the field of power system dispatch operations, augmented reality (AR) technology has also been introduced to achieve visual management. For example, patent document CN113159604A involves collecting dispatcher instructions and translating them into text, determining the target operating equipment based on the text instructions, and using AR technology to obtain relevant equipment information. Subsequently, a convolutional neural network model based on a neural network is constructed to compare and verify the equipment information. If the comparison is correct, the corresponding operation is executed, and a photo is taken and uploaded upon completion; if incorrect, security measures need to be redeployed and an inspection conducted. After all operations are completed, the system sends a completion command to the AR glasses, realizing the visualization of the scheduling operation. This method, through the combination of AR glasses and neural networks, enables remote scheduling processing, reduces the need for on-site intervention, and improves the accuracy and efficiency of operations. Although the above technologies have made progress in data fusion and visualized scheduling, the following technical problems still urgently need to be solved in the field of power system scheduling: (1) The dispatch master station cannot directly obtain the status information of the operation team, which means that the dispatcher must manually track the dynamics of the team. This lag in information acquisition makes it difficult to achieve real-time response in dispatching decisions. For example, during sudden failures or peak load periods, the dispatcher needs to understand the location, availability and current task load of the team by telephone or manual reporting. This not only consumes time, but may also delay emergency dispatch, affecting the overall response speed and stability of the power grid.
[0003] (2) Uneven distribution of dispatch tasks among different operation teams further exacerbates the problem of uneven resource allocation. In the existing system, task allocation is often based on static rules or experience-based judgments, ignoring the real-time carrying capacity and skill matching of the teams. This leads to insufficient carrying capacity in some teams. For example, when multiple tasks are performed in parallel, some teams operate beyond their capacity, increasing safety hazards and the risk of operational errors. Meanwhile, other teams may be idle, resulting in a waste of human resources. This uneven distribution not only reduces the overall efficiency of the system but may also amplify the resource bottlenecks of the power grid in complex environments, affecting the sustainability of operation and maintenance.
[0004] (3) The lack of effective correlation between dispatched tasks and operational teams leads to insufficient accuracy in dispatch decisions. Existing dispatch mechanisms typically treat tasks as independent entities, failing to establish a dynamic mapping between task characteristics (such as technical requirements, geographical location, and urgency) and team attributes (such as professional skills, historical performance, and current status). This makes the decision-making process reliant on the dispatcher's subjective judgment, easily resulting in matching errors. For example, a task requiring high-voltage equipment maintenance might be assigned to a team specializing in low-voltage equipment, leading to execution delays or quality issues. This lack of correlation not only weakens the scientific nature of decision-making but also amplifies the information silo effect in a multi-source data environment. Summary of the Invention
[0005] To address the problems existing in the prior art, the present invention provides a method and system for automatic operator scheduling based on visualization.
[0006] On one hand, the present invention provides a visualization-based automatic operator scheduling method, the method comprising the following steps: Step S1: Use the SCADA system to obtain the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; Step S2: Use an operation monitoring terminal to obtain the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center; Step S3: The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; Step S4: The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
[0007] Furthermore, in step S3, the dispatch center is also used to determine the target operator based on the status diagnosis result and the working status.
[0008] Furthermore, in step S3, determining the target operator based on the status diagnosis result and the working status specifically includes: Step S301: Determine the fault status type and fault status level based on the status diagnosis results, and calculate the fault handling time based on the fault status type; Step S302: If the fault status level is immediate processing, then the operator whose working status is idle during the time period from the current moment until the fault processing duration is determined as the target operator. Step S303: If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
[0009] Furthermore, the scheduling center is also used to calculate a work score based on the work process.
[0010] Furthermore, in step S302, if the fault status level is immediate handling, then determining the target operator as the operator whose working status is idle during the time period from the current moment until the fault handling duration also includes: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.
[0011] On the other hand, the present invention provides a visualization-based automatic operator scheduling system applied to the above-mentioned method. The system includes: a SCADA system, an operator monitoring terminal, a dispatch center, and a GIS visualization platform. The SCADA system is used to acquire the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; The operation monitoring terminal is used to acquire the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center. The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
[0012] Furthermore, the dispatch center is also used to determine the target operator based on the status diagnosis results and the working status.
[0013] Furthermore, determining the target operator based on the status diagnosis results and the working status specifically includes: Based on the status diagnosis results, determine the fault status type and fault status level, and calculate the fault handling time based on the fault status type; If the fault status level is immediate handling, then the operator whose working status is idle during the time period from the current moment until the fault handling duration is determined as the target operator. If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
[0014] Furthermore, the scheduling center is also used to calculate a work score based on the work process.
[0015] Furthermore, if the fault status level is immediate handling, then the target operators who are idle for the duration of the fault handling from the current moment also include: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.
[0016] Compared with existing technologies, this invention has the following advantages: This invention provides a visualization-based automatic operator dispatching method and system. It collects and uploads the operators' work status and work process records to the dispatch center in real time through an operation monitoring terminal, enabling the dispatch center to directly and in real-time obtain dynamic information about operators, completely eliminating the lag in traditional dispatchers' need to track team status via telephone or manual reporting. In scenarios of sudden power grid failures or peak loads, the dispatch center can immediately grasp the status information of each operator, thereby significantly shortening dispatch decision time and improving power grid fault response speed and operational stability. Based on a preset status diagnosis model, the dispatch center performs real-time diagnosis of the power grid equipment operating status parameters uploaded by the SCADA system, outputting fault status types and fault status levels. Combined with the current work status of operators, it achieves intelligent and dynamic task allocation. For faults requiring immediate processing, the system automatically selects operators whose work status is idle within the time period from the current moment to the fault processing duration; for faults requiring delayed processing, it prioritizes operators with the shortest cumulative working time within the current work cycle. This mechanism effectively overcomes the task imbalance problem caused by traditional static rules or experience-based allocation, avoids safety risks and operational errors caused by some shifts operating under overload conditions, and minimizes idle time waste. It achieves efficient matching of resources and maintenance tasks, improving the resource utilization and operational sustainability of the power grid in complex environments. The dispatch center further calculates work scores based on the operators' work processes and combines these scores with historical work scores to ultimately select the best operators, thus establishing a dynamic correlation between task characteristics such as fault state type, fault state level, and fault handling time, and the operators. This correlation mechanism significantly improves the accuracy of dispatch decisions and avoids execution delays caused by skill mismatches due to subjective judgment. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 A flowchart of a visualization-based automatic operator scheduling method provided in this embodiment of the invention; Figure 2 A flowchart of step S3 of a visualization-based automatic operator scheduling method is provided in an embodiment of the present invention; Figure 3 A structural diagram of a visualization-based automated operator scheduling system provided in an embodiment of the present invention; Figure 4 Another structural diagram of a visualization-based automatic operator scheduling system provided in an embodiment of the present invention. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely one unit of embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0020] As one embodiment of the present invention, such as Figure 1 As shown in the figure, this embodiment provides a visualization-based automatic operator scheduling method, which includes the following steps: Step S1: Use the SCADA system to obtain the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; Specifically, the operating parameters of the power grid equipment include, but are not limited to: line voltage, current, active power, reactive power, frequency, switch status, protection action signals, and alarm information. For example, in a dispatch area containing 50 transmission lines and 20 substations, the SCADA system collects the operating parameters of each device with a sampling period of 1 second or 5 seconds, and uploads them to the dispatch center through a dedicated dispatch data network.
[0021] Real-time data acquisition through the SCADA system ensures that the power grid equipment operating status parameters obtained by the dispatch center are timely and accurate, providing a reliable data foundation for subsequent status diagnosis.
[0022] Step S2: Use an operation monitoring terminal to obtain the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center; Specifically, the operation monitoring terminal can be a mobile operation terminal, a scheduling terminal, or a wearable device, and the working state includes at least: idle state, task execution state, en route state, and rest state; the working process includes operation start time, operation end time, operation object, operation step record, and operation result.
[0023] Preferably, each operator automatically reports the "task in progress" status via the monitoring terminal when starting a maintenance task, and automatically switches to idle status upon completion of the task. Simultaneously, the terminal timestamps the task execution process, forming complete work process data. Testing showed that with 30 operators working concurrently, the work status reporting delay can be controlled within 2 seconds.
[0024] This method allows the dispatch center to monitor the actual working status of operators in real time and dynamically, avoiding the information lag problem caused by traditional reliance on telephone confirmation or manual reporting.
[0025] Step S3: The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; Specifically, the condition diagnosis model can be built based on threshold rules, expert rules, or data-driven models to determine whether power grid equipment has anomalies and their severity. The condition diagnosis results include at least: fault condition type and fault condition level.
[0026] Step S4: The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
[0027] Specifically, the GIS visualization platform visually displays the location of equipment, fault locations, and the distribution of operators in a map format, and distinguishes the fault status level with different colors or icons. Dispatchers can complete situational awareness and dispatching decisions on the same interface.
[0028] Furthermore, in step S3, as follows: Figure 2 As shown, the dispatch center is also used to determine the target operator based on the status diagnosis results and the working status.
[0029] Furthermore, in step S3, determining the target operator based on the status diagnosis result and the working status specifically includes: Step S301: Determine the fault status type and fault status level based on the status diagnosis results, and calculate the fault handling time based on the fault status type; Specifically, the dispatch center pre-establishes a mapping relationship between fault status types and processing times. For example: The line tripping processing time can be set to 30 minutes; The processing time for equipment malfunction alarms can be set to 20 minutes; The processing time for general inspection and confirmation faults can be set to 60 minutes.
[0030] This method allows for the quantification of task time requirements corresponding to different fault state types.
[0031] Specifically, when the current of a transmission line continuously exceeds 120% of the rated value for more than 30 seconds, the status diagnosis model judges it as a "line overload" fault state and determines the fault state level as "immediate handling"; when the voltage fluctuation exceeds the set threshold but does not affect the continuity of power supply, it can be judged as "delayed handling".
[0032] Step S302: If the fault status level is immediate processing, then the operator whose working status is idle during the time period from the current moment until the fault processing duration is determined as the target operator. Specifically, when a fault handling time is 30 minutes, the dispatch center uses the current time as the starting point and filters all operators whose work status is idle within the next 30 minutes to form a candidate set. Statistics show that during peak load periods, this method can complete the screening of all operator statuses within 3 seconds.
[0033] Step S303: If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
[0034] Specifically, the work cycle can be a shift or a day. By calculating the cumulative working hours of each operator within the current cycle, priority is given to scheduling personnel with shorter working hours, thereby achieving task load balancing.
[0035] Furthermore, the scheduling center is also used to calculate a work score based on the work process.
[0036] Furthermore, in step S302, if the fault status level is immediate handling, then determining the target operator as the operator whose working status is idle during the time period from the current moment until the fault handling duration also includes: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.
[0037] Specifically, the historical work score can be calculated based on indicators such as operation completion time, operation success rate, and operation standardization. For example, for the "line overload" fault type, the operator with the highest historical score is selected to perform the task.
[0038] The method in this embodiment realizes the visual fusion of power grid equipment status and operator status. The dispatch center can obtain operator status information in real time without manual confirmation, reducing dispatch decision time from several minutes to several seconds. At the same time, the comprehensive dispatch strategy based on fault status level, processing time and historical work score effectively improves fault response efficiency and task allocation rationality, reduces the risk of personnel overload, and significantly improves the safety and stability of power grid operation.
[0039] On the other hand, as another embodiment of the present invention, such as Figure 3-4 As shown, this embodiment provides a visualization-based automatic operator scheduling system applied to the above-described method. The system includes: a SCADA system, an operator monitoring terminal, a dispatch center, and a GIS visualization platform. The SCADA system is used to acquire the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; Specifically, the SCADA system establishes communication connections with power grid equipment such as substations, switching stations, and transmission line monitoring devices within the target dispatch area to collect information data including but not limited to the following parameters: equipment operating voltage, current, active power, reactive power; frequency, phase angle deviation, power factor; switch status, protection device action signals; alarm information and event timestamps.
[0040] Preferably, within a target dispatch area comprising 20 substations and 60 transmission lines, the SCADA system collects critical operating parameters at a 1-second cycle and non-critical operating parameters at a 5-second cycle. Actual testing shows that, under these conditions, the SCADA system can stably maintain the ability to collect and upload no less than 50,000 operational data points per second, with a data packet loss rate of less than 0.1%.
[0041] Real-time data acquisition through the SCADA system provides a complete, continuous, and accurate foundation of power grid equipment operating status parameters for the status diagnosis model of the dispatch center.
[0042] The operation monitoring terminal is used to acquire the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center. Specifically, each operator is equipped with at least one operation monitoring terminal, which can be a mobile work terminal, tablet terminal or wearable device, and supports wireless communication for data interaction with the dispatch center.
[0043] The operation monitoring terminal collects at least the following work statuses: idle, task execution, en route, rest, or unavailable. The work process includes, but is not limited to: task start time, end time; operation object identification information; operation step records; operation results and exception feedback. For example, when an operator receives a task instruction from the dispatch center, the operation monitoring terminal automatically switches the operator's work status from "idle" to "task execution" and begins recording operation process data; when the task is completed and confirmed, the terminal switches the work status back to "idle" and uploads the complete work process data to the dispatch center.
[0044] In a scenario where 30 operators are online concurrently, the status reporting cycle of the operation monitoring terminal can be set to once every 2 seconds. After testing, the average delay of work status update does not exceed 3 seconds, and the status recognition accuracy rate can reach more than 96%, thereby ensuring the real-time and reliable grasp of the operator status by the dispatch center.
[0045] The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
[0046] Furthermore, the dispatch center is also used to determine the target operator based on the status diagnosis results and the working status.
[0047] Furthermore, determining the target operator based on the status diagnosis results and the working status specifically includes: Based on the status diagnosis results, determine the fault status type and fault status level, and calculate the fault handling time based on the fault status type; If the fault status level is immediate handling, then the operator whose working status is idle during the time period from the current moment until the fault handling duration is determined as the target operator. If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
[0048] Specifically, the dispatch center includes a status diagnosis module, which is used to perform status diagnosis on the power grid equipment operating status parameters uploaded by the SCADA system through a preset status diagnosis model, and output the status diagnosis results.
[0049] The condition diagnosis model is built based on historical operating data and expert rules. It is used to determine whether the operating status of power grid equipment is abnormal and outputs condition diagnosis results including fault status type and fault status level.
[0050] Preferred: When the current of a transmission line exceeds 120% of the rated value for 30 consecutive seconds, it is determined to be a "line overload" fault state, and the fault state level is set to "immediate handling"; when the voltage fluctuation of a substation exceeds the set threshold but does not affect the continuity of power supply, it is determined to be a "voltage fluctuation" fault state, and the fault state level is set to "delayed handling".
[0051] Specifically, the dispatch center also includes a dispatch decision module, which is used to determine the target operator based on the status diagnosis results and the operator's work status.
[0052] The scheduling decision module calls a pre-set fault handling time model based on the fault status type to calculate the corresponding fault handling time. For example, the handling time for line tripping faults is set to 30 minutes, and the handling time for equipment abnormal alarm faults is set to 20 minutes. Different personnel selection strategies are executed according to the fault status level. If the fault status level is immediate, then within the time period from the current moment to the fault handling duration, select the operators whose work status is idle from all operators as the target operators. If the fault status level is delayed processing, the cumulative working time of each operator is calculated within the current work cycle, and the operator with the shortest working time is selected as the target operator.
[0053] In actual testing, the scheduling decision module took no more than 1 second to perform a single personnel screening calculation with 30 operators.
[0054] Furthermore, the scheduling center is also used to calculate a work score based on the work process.
[0055] Furthermore, if the fault status level is immediate handling, then the target operators who are idle for the duration of the fault handling from the current moment also include: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.
[0056] Specifically, the dispatch center also includes a scoring calculation module, which is used to calculate work scores based on the operator's work process and store historical work score data.
[0057] The score can be calculated based on a comprehensive evaluation of indicators such as operation completion time, operation success rate, and standardization assessment. For example, after normalizing each indicator, a weighted sum can be performed to obtain a work score ranging from 0 to 100.
[0058] In real-time fault handling scenarios, the scheduling decision module further optimizes the target operators based on their historical work scores for the current fault status type, thereby determining the actual operators.
[0059] The visualization-based automated operator dispatching system described in this embodiment enables centralized perception and visualization of the operating status of power grid equipment and the working status of operators. In the event of a sudden fault, the system can reduce the average dispatch decision time of the dispatch center from the traditional 3-5 minutes to less than 10 seconds, significantly improving dispatch response efficiency. Simultaneously, through a personnel dispatching mechanism based on fault status level, processing time, and historical work scores, the system effectively avoids the subjectivity and randomness of personnel dispatching, achieves dynamic balance of operator load, reduces the risk of overload operation, and improves the safety, stability, and maintenance efficiency of the power grid.
[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A visualization-based automatic operator scheduling method, characterized in that, The method includes the following steps: Step S1: Use the SCADA system to obtain the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; Step S2: Use an operation monitoring terminal to obtain the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center; Step S3: The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; Step S4: The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
2. The automatic operator scheduling method based on visualization according to claim 1, characterized in that: In step S3, the dispatch center is also used to determine the target operator based on the status diagnosis result and the working status.
3. The method for automatic operator scheduling based on visualization according to claim 2, characterized in that: In step S3, determining the target operator based on the status diagnosis result and the working status specifically includes: Step S301: Determine the fault status type and fault status level based on the status diagnosis results, and calculate the fault handling time based on the fault status type; Step S302: If the fault status level is immediate processing, then the operator whose working status is idle during the time period from the current moment until the fault processing duration is determined as the target operator. Step S303: If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
4. The automatic operator scheduling method based on visualization according to claim 3, characterized in that: The dispatch center is also used to calculate work scores based on the work process.
5. The automatic operator scheduling method based on visualization according to claim 4, characterized in that: In step S302, if the fault status level is immediate handling, then determining the target operator as the operator whose working status is idle for the period of time from the current moment until the fault handling duration also includes: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.
6. A visualization-based automated operator scheduling system, applied to the method described in any one of claims 1-5, characterized in that, The system includes: a SCADA system, an operation monitoring terminal, a dispatch center, and a GIS visualization platform; The SCADA system is used to acquire the operating parameters of the power grid equipment in the target dispatch area in real time, and send the operating status parameters of the power grid equipment to the dispatch center; The operation monitoring terminal is used to acquire the operator's work status in real time and record the operator's work process, and send the work status and the work process to the dispatch center. The dispatch center is used to perform status diagnosis on the operating status parameters of the power grid equipment through a preset status diagnosis model and output the status diagnosis results; the dispatch center is also used to store the working process and synchronize the operating status parameters of the power grid equipment, the status diagnosis results and the working status to the GIS visualization platform; The GIS visualization platform is used to display in real time the operating status parameters of the power grid equipment in the target dispatch area, the status diagnosis results, and the working status of the operators.
7. The automated operator scheduling system based on visualization according to claim 6, characterized in that: The dispatch center is also used to determine the target operator based on the status diagnosis results and the working status.
8. The automated operator scheduling system based on visualization according to claim 7, characterized in that: The specific targets for determining the operators based on the diagnostic results and the work status include: Based on the status diagnosis results, determine the fault status type and fault status level, and calculate the fault handling time based on the fault status type; If the fault status level is immediate handling, then the operator whose working status is idle during the time period from the current moment until the fault handling duration is determined as the target operator. If the fault status level is delayed processing, then the operator with the shortest working time in the current work cycle is identified as the target operator.
9. The automated operator scheduling system based on visualization according to claim 8, characterized in that: The dispatch center is also used to calculate work scores based on the work process.
10. The automated operator scheduling system based on visualization according to claim 9, characterized in that: If the fault status level is immediate handling, then the target operators who are idle for the duration of the fault handling period from the current moment also include: Calculate the target operator's historical work score for the fault state type, and determine the actual operator based on the historical work score.