An intelligent power grid data monitoring method, system, terminal and storage medium

Abstract

The present application relates to a method, system, terminal and storage medium for monitoring smart grid data, and includes obtaining a grid fault area of the smart grid and corresponding fault performance parameters; determining whether the fault performance parameters meet the requirements of preset known fault point parameters; if they meet, determining the grid fault point according to the fault performance parameters and the preset parameter fault point relationship; if they do not meet, controlling a preset visual device to detect the grid fault area to determine the grid fault point; associating the grid fault area and the grid fault point to generate a maintenance fault source; controlling a preset isolation protection device to perform isolation and self-healing on the smart grid according to the maintenance fault source, and giving an alarm according to the maintenance fault source to prompt maintenance personnel to perform maintenance. The present application has the effect of improving the processing speed of grid faults.

Description

Technical Field

[0001] The present application relates to the field of data testing and acquisition monitoring, and in particular, to an intelligent power grid data monitoring method, system, terminal, and storage medium. Background Art

[0002] A power monitoring system is an automated system for real-time monitoring, recording, and analyzing the operating status of a power system. It collects parameters such as voltage, current, power, and frequency of the power system through various sensors, smart meters, and other data acquisition devices, and transmits this information to a control center for processing and analysis.

[0003] In the related art, after the power monitoring system transmits relevant parameters to the control center for analysis, if the control center determines that the relevant parameters exceed the normal operating parameter range, the control center determines that there is an abnormality in the power grid in that area, thereby issuing an alarm and reminding the operation and maintenance personnel to repair the rated power grid in that area.

[0004] In view of the above related art, because the sensors of the power monitoring system are installed distributively, the relevant parameters provided by the power monitoring system represent the power data in the area where such sensors are located. Therefore, when the control center determines that a power grid failure has occurred and reminds the operation and maintenance personnel to perform repairs, the operation and maintenance personnel can only reach the area corresponding to the abnormal data to confirm and repair the fault point based on the abnormal data, rather than directly repairing the fault point, resulting in a slow speed of power grid fault handling and room for improvement. Summary of the Invention

[0005] In order to improve the speed of power grid fault handling, the present application provides an intelligent power grid data monitoring method, system, terminal, and storage medium.

[0006] In a first aspect, the present application provides an intelligent power grid data monitoring method, adopting the following technical solution:

[0007] An intelligent power grid data monitoring method includes:

[0008] Obtaining the power grid fault area and corresponding fault performance parameters of the intelligent power grid;

[0009] Judging whether the fault performance parameters meet the requirements of preset known fault point parameters;

[0010] If they meet the requirements, determining the power grid fault point according to the fault performance parameters and the preset parameter fault point relationship;

[0011] If they do not meet the requirements, controlling a preset visual device to detect the power grid fault area to determine the power grid fault point;

[0012] Associating the power grid fault area and the power grid fault point to generate a maintenance fault source;

[0013] Isolate and self-heal the smart grid according to the isolation protection device preset according to the maintenance fault source, and give an alarm according to the maintenance fault source to prompt the operation and maintenance personnel to perform maintenance.

[0014] By adopting the above technical solution, when the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly searched and determined in the parameter fault point relationship; when they do not meet, before the operation and maintenance personnel rush to the power grid fault area, control the visual device to detect and determine the power grid fault point, and generate a maintenance fault source after associating with the power grid fault area, so as to prompt the operation and maintenance personnel, enabling the operation and maintenance personnel to directly go to the fault point for maintenance and saving the time for checking the fault point, thereby improving the processing speed of power grid faults.

[0015] Optionally, the steps of controlling the preset visual device to detect the power grid fault area to determine the power grid fault point include:

[0016] Determine the starting fixed device parameters and starting mobile device parameters according to the power grid fault area and the preset relationship between area device parameters;

[0017] Analyze the fault performance parameters to determine the type of power fault;

[0018] Judge whether the type of power fault meets the requirements of the preset fixed point detection type;

[0019] If not, control the visual device to detect the power grid fault area according to the starting mobile device parameters to determine the power grid fault point;

[0020] If so, control the visual device to detect the power grid fault area according to the starting mobile device parameters and the starting fixed device parameters to determine the power grid fault point.

[0021] By adopting the above technical solution, determine the type of power fault according to the fault performance parameters, so that when it is determined that the type of power fault does not meet the requirements of the fixed point detection type, only control the visual device to determine the power grid fault point according to the starting mobile device parameters; when it meets, control the visual device to determine the power grid fault point according to the starting mobile device parameters and the starting fixed device parameters, thereby reducing the redundant operations on the visual device and improving the efficiency of determining the power grid fault point.

[0022] Optionally, the steps of controlling the visual device to detect the power grid fault area according to the starting mobile device parameters and the starting fixed device parameters to determine the power grid fault point include:

[0023] Control the visual device to detect the power grid fault area according to the starting fixed device parameters to generate a fixed point image;

[0024] Determine whether the fixed-point image meets the requirements of the preset fixed-point fault characteristics;

[0025] If not, control the visual device to detect the power grid fault area according to the start-up mobile device parameters to determine the power grid fault point;

[0026] If it meets the requirements, obtain the actual fault characteristics and the device parameters that meet the requirements;

[0027] Analyze the actual fault characteristics and the device parameters that meet the requirements to determine the power grid fault point.

[0028] By adopting the above technical solution, control the visual device to detect the fixed-point image according to the start-up fixed device parameters. When it is determined that the fixed-point image does not meet the requirements of the fixed-point fault characteristics, it indicates that the fixed point has no fault. Therefore, control the visual device to move and detect to determine the power grid fault point; if it is determined that the fixed point has a fault, then determine the power grid fault point after analyzing the actual fault characteristics and the device parameters that meet the requirements, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0029] Optionally, the steps of analyzing the actual fault characteristics and the device parameters that meet the requirements to determine the power grid fault point include:

[0030] Determine the basic fault position according to the device parameters that meet the requirements and the preset device position relationship;

[0031] Determine whether the actual fault characteristics meet the requirements of the preset automatic repair characteristics;

[0032] If not, obtain the mobile fault position in the power grid fault area;

[0033] Associate the basic fault position and the mobile fault position to generate the power grid fault point;

[0034] If it meets the requirements, determine the power grid fault point according to the preset power grid repair method.

[0035] By adopting the above technical solution, when the actual fault characteristics do not meet the requirements of the automatic repair characteristics, control the visual device to move and detect the mobile fault position, and generate the power grid fault point after associating the basic fault position and the mobile fault position; when it meets the requirements of the automatic repair characteristics, determine the power grid fault point according to the power grid repair method, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0036] Optionally, the steps of determining the power grid fault point according to the preset power grid repair method include:

[0037] Determine the repair device parameters according to the basic fault position and the preset position repair relationship;

[0038] Control the restart of the preset automatic repair device according to the repair device parameters, and obtain the repair performance parameters of the power grid fault area;

[0039] Judge whether the repair performance parameters meet the requirements of the preset normal operation parameters;

[0040] If not, obtain the moving fault position of the power grid fault area;

[0041] Associate the basic fault position and the moving fault position to generate the power grid fault point;

[0042] If it meets the requirements, define the basic fault position as the power grid fault point.

[0043] By adopting the above technical solution, control the restart of the automatic repair device, and then detect the repair performance parameters. When the repair performance parameters meet the requirements of the normal operation parameters, it indicates that only the fixed point fails. Therefore, define the basic fault position as the power grid fault point; if not, it indicates that there are other positions that fail. Therefore, detect the moving fault position and generate the power grid fault point after associating it with the basic fault position, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0044] Optionally, the steps of controlling the visual device to detect the power grid fault area according to the start-up mobile device parameters to determine the power grid fault point include:

[0045] Determine the moving detection trajectory according to the power grid fault area and the preset area trajectory relationship;

[0046] Control the visual device to detect the power grid fault area according to the start-up device parameters and the moving detection trajectory to generate a moving detection image;

[0047] Judge whether the moving detection image meets the requirements of the preset moving fault characteristics;

[0048] If not, continue to control the visual device to detect the power grid fault area according to the start-up device parameters and the moving detection trajectory to generate a moving detection image for cyclic judgment;

[0049] If it meets the requirements, obtain the real-time moving position;

[0050] Associate the real-time moving positions to generate the power grid fault point.

[0051] By adopting the above technical solution, control the visual device to move along the moving detection trajectory and capture the moving detection image. When the moving detection image meets the requirements of the moving fault characteristics, record the real-time moving position, and finally associate all the real-time moving positions to generate the power grid fault point, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0052] Optionally, the steps of isolating and self-healing the smart grid according to the preset isolation protection device controlled by the maintenance fault source include:

[0053] Analyze the maintenance fault source and the preset isolation points to determine the isolation area and the non-isolation area;

[0054] Control the isolation protection device to isolate the isolation area and the non-isolation area, and obtain the demand load parameters of the non-isolation area;

[0055] Obtain the remaining load parameters of the preset power restoration network;

[0056] Judge whether the demand load parameters meet the requirements of the remaining load parameters;

[0057] If they meet the requirements, control the power restoration network to restore power to the non-isolation area;

[0058] If they do not meet the requirements, analyze the non-isolation area to determine the secondary area, and obtain the power restoration load parameters of the secondary area;

[0059] Analyze the power restoration load parameters of the secondary area and the remaining load parameters to determine the power restoration area;

[0060] Control the power restoration network to restore power to the power restoration area.

[0061] By adopting the above technical solution, control the isolation device to isolate the isolation area and the non-isolation area, prevent the power failure in the isolation area from affecting the non-isolation area, and when the remaining load parameters of the power restoration network are not lower than the demand load parameters, control the power restoration network to restore power to the non-isolation area, and when it is lower, divide the non-isolation area into multiple secondary areas, determine the power restoration area in the secondary area according to the relationship between the power restoration load parameters of the secondary area and the remaining load parameters, and control the power restoration network to restore power to the power restoration area, so as to ensure that the affected area resumes power supply in the shortest time.

[0062] In a second aspect, the present application provides a smart grid data monitoring system, adopting the following technical solution:

[0063] A smart grid data monitoring system includes:

[0064] An acquisition module, configured to acquire the power grid fault area and the fault performance parameters;

[0065] A memory, configured to store the program of a smart grid data monitoring method as described in any one of the above;

[0066] A processor, the program in the memory can be loaded and executed by the processor and implement a smart grid data monitoring method as described in any one of the above.

[0067] By adopting the above technical solution, the control processor loads and executes a program of an intelligent power grid data monitoring method stored in the memory, enabling the acquisition module to acquire a series of data related to intelligent power grid data monitoring. Thus, when the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly determined by searching in the parameter-fault point relationship according to the fault performance parameters; when they do not meet the requirements, before the operation and maintenance personnel rush to the power grid fault area, the control visual device detects and determines the power grid fault point, and after associating it with the power grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, enabling them to directly go to the fault point for maintenance and saving the time for checking the fault point, and further improving the processing speed of power grid faults.

[0068] In a third aspect, the present application provides an intelligent terminal, adopting the following technical solution:

[0069] An intelligent terminal includes a memory and a processor, and a computer program capable of being loaded and executed by the processor, which is a method for monitoring intelligent power grid data as described in any one of the above.

[0070] By adopting the above technical solution, by operating the intelligent terminal, the processor loads and executes a computer program of an intelligent power grid data monitoring method stored in the memory. Thus, when the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly determined by searching in the parameter-fault point relationship according to the fault performance parameters; when they do not meet the requirements, before the operation and maintenance personnel rush to the power grid fault area, the control visual device detects and determines the power grid fault point, and after associating it with the power grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, enabling them to directly go to the fault point for maintenance and saving the time for checking the fault point, and further improving the processing speed of power grid faults.

[0071] In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, which has the characteristic of facilitating the improvement of the processing speed of power grid faults, adopting the following technical solution:

[0072] A computer-readable storage medium stores a computer program capable of being loaded and executed by the processor for any of the above intelligent power grid data monitoring methods.

[0073] By adopting the above technical solution, a computer program of an intelligent power grid data monitoring method is stored in a computer-readable storage medium, and a processor is enabled to load and execute the computer program in the storage medium. Thus, when the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly searched and determined in the parameter-fault point relationship according to the fault performance parameters; when they do not meet the requirements, before the operation and maintenance personnel rush to the power grid fault area, the visual device is controlled to detect and determine the power grid fault point, and after being associated with the power grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, enabling the operation and maintenance personnel to directly go to the fault point for maintenance and saving the time for checking the fault point, and further improving the processing speed of power grid faults.

[0074] In summary, the present application includes at least one of the following beneficial technical effects:

[0075] When the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly searched and determined in the parameter-fault point relationship according to the fault performance parameters; when they do not meet the requirements, before the operation and maintenance personnel rush to the power grid fault area, the visual device is controlled to detect and determine the power grid fault point, and after being associated with the power grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, enabling the operation and maintenance personnel to directly go to the fault point for maintenance and saving the time for checking the fault point, and further improving the processing speed of power grid faults;

[0076] By determining the power fault type according to the fault performance parameters, when it is determined that the power fault type does not meet the requirements of the fixed point detection type, the visual device is controlled to determine the power grid fault point only according to the start mobile device parameters; when they meet the requirements, the visual device is controlled to determine the power grid fault point according to both the start mobile device parameters and the start fixed device parameters, thereby reducing the redundant operations on the visual device and further improving the efficiency of determining the power grid fault point;

[0077] By controlling the automatic repair device to restart and then detecting the repair performance parameters, when the repair performance parameters meet the requirements of the normal operation parameters, it indicates that only the fixed point has a fault, so the basic fault location is defined as the power grid fault point; if they do not meet the requirements, it indicates that there are other positions with faults, so the mobile fault location is detected, and after being associated with the basic fault location, a power grid fault point is generated, thereby improving the efficiency and accuracy of determining the power grid fault point. Description of the Drawings

[0078] Figure 1 is a flowchart of an intelligent power grid data monitoring method in an embodiment of the present application.

[0079] Figure 2 is a flowchart of the steps of controlling a preset visual device to detect a power grid fault area to determine a power grid fault point in an embodiment of the present application.

[0080] Figure 3 This is a flowchart of the steps in an embodiment of the present application for controlling a visual device to detect a power grid fault area based on start-up mobile device parameters and start-up fixed device parameters to determine a power grid fault point.

[0081] Figure 4 This is a flowchart of the steps in an embodiment of the present application for analyzing actual fault characteristics and compliance device parameters to determine a power grid fault point.

[0082] Figure 5 This is a flowchart of the steps in an embodiment of the present application for determining a power grid fault point according to a preset power grid repair method.

[0083] Figure 6 This is a flowchart of the steps in an embodiment of the present application for controlling a visual device to detect a power grid fault area based on start-up mobile device parameters to determine a power grid fault point.

[0084] Figure 7 This is a flowchart of the steps in an embodiment of the present application for isolating and self-healing an intelligent power grid according to a maintenance fault source by controlling a preset isolation protection device. Detailed implementation manners

[0085] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the following further describes the present application in detail with reference to the Figures 1-7 accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0086] An embodiment of the present application discloses an intelligent power grid data monitoring method, specifically discloses a control center, a power monitoring system and a visual device. The control center is wirelessly data-connected to the power monitoring system and the visual device respectively to realize data interaction and control. When the power monitoring system detects a power grid fault area of the intelligent power grid, it synchronously sends the fault performance parameters of the power grid fault area to the control center. When the control center determines that the fault performance parameters meet the requirements of known fault point parameters, it searches for the corresponding power grid fault point from the parameter fault point relationship according to the fault performance parameters; when they do not meet, the control center controls the visual device to detect the power grid fault area to determine the power grid fault point. After determining the power grid fault point, it associates the power grid fault area and the power grid fault point to generate a maintenance fault source, thereby controlling the isolation protection device to isolate and self-heal the area where the maintenance fault source is located, and prompting the operation and maintenance personnel according to the maintenance fault source, so that the operation and maintenance personnel can directly repair the maintenance fault source, saving the time for checking the fault point, and thus improving the processing speed of power grid faults.

[0087] Referring to Figure 1 , an embodiment of the present application discloses an intelligent power grid data monitoring method, including the following steps:

[0088] Step S100: Obtain the power grid fault area of the smart grid and the corresponding fault performance parameters.

[0089] Among them, the power grid fault area refers to the area where a fault occurs in the smart grid, and the fault performance parameter refers to the performance parameter of the power grid fault area. The power monitoring system compares the performance parameters of different areas with the normal performance parameters. When it is determined that the performance parameter is abnormal, the area is defined as the power grid fault area, and the performance parameter of this area is defined as the fault performance parameter.

[0090] Step S101: Determine whether the fault performance parameter meets the requirements of the preset known fault point parameters.

[0091] Among them, the known fault point parameter refers to the performance parameter that can directly determine the fault point. This type of performance parameter is usually a kind of power equipment fault, so as to send out the performance parameter carrying the fault code. The requirement of the known fault point parameter means that it exists in the known fault point parameters.

[0092] The control center determines whether the fault performance parameter exists in the known fault point parameters, so as to determine whether the fault point can be directly determined through the fault performance parameter.

[0093] Step S1011: If it meets the requirements, determine the power grid fault point according to the fault performance parameter and the preset parameter - fault point relationship.

[0094] Among them, if the control center determines that the fault performance parameter exists in the known fault point parameters, it indicates that the fault point can be directly determined through the fault performance parameter. Therefore, the power grid fault point is obtained by looking up in the mapping table corresponding to the parameter - fault point relationship according to the fault performance parameter.

[0095] The parameter - fault point relationship refers to the corresponding relationship between the performance parameter and the fault point. The operator forms a mapping table by corresponding the power equipment that can provide specific fault codes with the location of this power equipment one by one. The power grid fault point refers to the specific location where a fault occurs in the power grid fault area. The power grid fault point in this step is obtained by the control center looking up in the mapping table corresponding to the parameter - fault point relationship according to the fault performance parameter.

[0096] Step S1012: If it does not meet the requirements, control the preset visual device to detect the power grid fault area to determine the power grid fault point.

[0097] Among them, if the control center determines that the fault performance parameter does not exist in the known fault point parameters, it indicates that the fault point cannot be directly determined through the fault performance parameter. Therefore, control the visual device to detect the power grid fault area and then determine the power grid fault point. The specific method refers to Figure 2 the steps.

[0098] The visual device includes a fixed-point visual device and a mobile visual device. The fixed-point visual device refers to a camera that takes pictures and detects some fixed points, and the mobile visual device refers to a drone that takes pictures and detects the lines within the entire area. The power grid fault points in this step have the same definition as those in step S1011, but the power grid fault points in this step are detected by the visual device.

[0099] Step S102: Associate the power grid fault area and the power grid fault points to generate a maintenance fault source.

[0100] Among them, the maintenance fault source refers to the fault points within the fault area displayed on the geographic information system. The control center marks them in red on the map according to the power grid fault area, and marks the specific fault location in a flashing form according to the power grid fault points within the power grid fault area.

[0101] Step S103: Control the preset isolation protection device to isolate and self-heal the smart grid according to the maintenance fault source, and give an alarm according to the maintenance fault source to prompt the operation and maintenance personnel to perform maintenance.

[0102] Among them, after determining the maintenance fault source, control the isolation protection device to isolate and self-heal the smart grid. The specific method refers to Figure 7 the steps, so as to ensure that the fault area will not affect the normal power consumption of other areas, and give an alarm prompt according to the maintenance fault source, so that the operation and maintenance personnel can directly reach the fault point for maintenance, saving the time to find the fault point, and thus improving the speed of power grid fault handling.

[0103] The isolation protection device refers to a device that isolates the fault area and the non-fault area, usually using a disconnecting switch or a circuit breaker.

[0104] Refer to Figure 2 , the steps of controlling the preset visual device to detect the power grid fault area to determine the power grid fault points include:

[0105] Step S200: Determine the start-up fixed device parameters and start-up mobile device parameters according to the power grid fault area and the preset relationship between the area device parameters.

[0106] Among them, the relationship between the area device parameters refers to the corresponding relationship between the power grid fault area and the visual device parameters. For example, there is a No. 1 fixed visual device and a No. 2 mobile visual device in the No. 1 power grid fault area. After the operator corresponds each area with the visual device parameters within the area one by one, a mapping table is formed.

[0107] The starting fixed device parameters refer to the parameters of the fixed visual devices within the power grid fault area, and the starting mobile device parameters refer to the parameters of the mobile visual devices within the power grid fault area, which are obtained by the control center looking up in the mapping table corresponding to the relationship between the regional device parameters according to the power grid fault area.

[0108] Step S201: Analyze the fault performance parameters to determine the type of power fault.

[0109] Among them, the type of power fault refers to the specific fault type that occurs within the power grid fault area, which is determined by the control center through specific analysis of the fault performance parameters. In one embodiment, a trained machine learning model can be used to identify the fault performance parameters; in another embodiment, it is analyzed based on the relationship between voltage and current. For example, when the relationships of each item of voltage change and a large grounding current is generated, it indicates a grounding fault; when there is an extremely high current and an extremely low voltage, it indicates a short circuit; when the upstream voltage remains unchanged and there is no current, it indicates an open circuit.

[0110] Step S202: Determine whether the type of power fault meets the requirements of the preset fixed-point detection type.

[0111] Among them, the fixed-point detection type refers to the type of fault that may occur at the fixed connection nodes, such as short circuit or open circuit. The fixed connection nodes refer to positions such as distribution boxes, and the requirements of the fixed-point detection type refer to being consistent with the fixed-point detection type.

[0112] The control center determines whether the type of power fault is consistent with the fixed-point detection type, so as to determine whether the fault may occur at the fixed connection nodes.

[0113] Step S2021: If not, control the visual device to detect the power grid fault area according to the starting mobile device parameters to determine the power grid fault point.

[0114] Among them, if the control center determines that the type of power fault is inconsistent with the fixed-point detection type, it indicates that the fault will not occur at the fixed connection nodes. Therefore, the visual device is controlled to detect the power grid fault area according to the starting mobile device parameters, and then the power grid fault point is determined. The specific method refers to Figure 6 the steps.

[0115] The power grid fault point in this step is the same as the power grid fault point in step S1012, and will not be elaborated here.

[0116] Step S2022: If it meets the requirements, control the visual device to detect the power grid fault area according to the starting mobile device parameters and the starting fixed device parameters to determine the power grid fault point.

[0117] Among them, if the control center determines that the power failure type is consistent with the fixed-point detection type, it indicates that the fault will occur at the fixed connection nodes and the remaining positions that need to be detected by moving. Therefore, after controlling the visual device to detect the power grid fault area according to the starting parameters of the mobile device and the starting parameters of the fixed device, the power grid fault point is determined. For the specific method, refer to Figure 3 the steps.

[0118] The power grid fault point in this step is the same as the power grid fault point in step S1012, which will not be elaborated here.

[0119] Refer to Figure 3 , the steps of controlling the visual device to detect the power grid fault area according to the starting parameters of the mobile device and the starting parameters of the fixed device to determine the power grid fault point include:

[0120] Step S300: Control the visual device to detect the power grid fault area according to the starting parameters of the fixed device to generate a fixed-point image.

[0121] Among them, the fixed-point image refers to the image taken of the fixed connection node, which is taken by the control center controlling the corresponding visual device for the power grid fault area according to the starting parameters of the fixed device and sent to the control center.

[0122] Step S301: Judge whether the fixed-point image meets the requirements of the preset fixed-point fault characteristics.

[0123] Among them, the fixed-point fault characteristics refer to the fault characteristics that may occur in the fixed connection node, such as the characteristics of reverse wiring, cross wiring or disconnection of the line, etc. The requirements of the fixed-point fault characteristics refer to those existing in the fixed-point fault characteristics.

[0124] The control center performs feature recognition and extraction on the fixed-point image, thereby judging whether the fixed-point features exist in the fixed-point fault characteristics, and thus determining whether the fixed point has a fault.

[0125] Step S3011: If not, control the visual device to detect the power grid fault area according to the starting parameters of the mobile device to determine the power grid fault point.

[0126] Among them, if the control center determines that the fixed-point features do not exist in the fixed-point fault characteristics, it indicates that the fixed connection node has not failed. Therefore, after controlling the visual device to detect the power grid fault area according to the starting parameters of the mobile device, the power grid fault point is determined. For the specific method, refer to Figure 6 the steps.

[0127] Step S3012: If it meets the requirements, obtain the actual fault characteristics and the corresponding device parameters.

[0128] Among them, if the control center determines that the fixed-point feature exists in the fixed-point fault feature, it indicates that the fixed connection node has failed. Therefore, the actual fault feature and the device parameters that meet the requirements are called to provide data support for subsequent determination of the power grid fault point.

[0129] The actual fault feature refers to the feature in the fixed-point image that is consistent with the fixed-point fault feature and is identified and called by the control center. The device parameters that meet the requirements refer to the parameters of the visual device whose captured fixed-point image is consistent with the fixed-point fault feature. The control center determines the fixed-point image that is consistent with the fixed-point fault feature and identifies the device parameters for capturing this image.

[0130] Step S302: Analyze the actual fault feature and the device parameters that meet the requirements to determine the power grid fault point.

[0131] Among them, after determining the actual fault feature and the device parameters that meet the requirements, the control center analyzes the actual fault feature and the device parameters that meet the requirements to determine the power grid fault point. The specific method refers to Figure 4 the steps.

[0132] Refer to Figure 4 , the steps of analyzing the actual fault feature and the device parameters that meet the requirements to determine the power grid fault point include:

[0133] Step S400: Determine the basic fault location according to the device parameters that meet the requirements and the preset device position relationship.

[0134] Among them, the device position relationship refers to the corresponding relationship between the fixed visual device and the device position. For example, the No. 1 fixed visual device is located at the No. 1 position. After the operator corresponds all the fixed visual devices to the device positions one by one, a mapping table is formed.

[0135] The basic fault location refers to the location where the fixed connection node fails and is obtained by the control center searching in the mapping table corresponding to the device position relationship according to the device parameters that meet the requirements.

[0136] Step S401: Determine whether the actual fault feature meets the requirements of the preset automatic repair feature.

[0137] Among them, the automatic repair feature refers to the fault feature that can be automatically repaired through remote operation. For example, the switch is disconnected. The requirements of the automatic repair feature refer to being consistent with the feature corresponding to the automatic repair feature.

[0138] The control center determines whether the actual fault feature is consistent with the feature corresponding to the automatic repair feature, so as to determine whether the fixed connection node can be automatically repaired.

[0139] Step S4011: If not, obtain the mobile fault location in the power grid fault area.

[0140] Among them, if the control center determines that the actual fault feature is inconsistent with the feature corresponding to the automatic repair feature, it indicates that the fault at the fixed connection node cannot be automatically repaired. Therefore, it is still necessary to detect the faults outside the fixed connection node. Therefore, the moving fault position in the power grid fault area is detected to provide data support for subsequent determination of the power grid fault point.

[0141] The moving fault position refers to the position where a moving visual device detects a fault outside the fixed connection node. The actual detection method is the same as Figure 6 the steps for determining the power grid fault point in

[0142] Step S40111: Associate the basic fault position and the moving fault position to generate the power grid fault point.

[0143] Among them, the power grid fault point in this step is the same as the power grid fault point in step S2022, and is formed by the control center storing the basic fault position of the fixed connection node and the remaining moving fault positions in the same data packet.

[0144] Step S4012: If it meets the conditions, determine the power grid fault point according to the preset power grid repair method.

[0145] Among them, if the control center determines that the actual fault feature is consistent with the feature corresponding to the automatic repair feature, it indicates that the fault at the fixed connection node can be automatically repaired. Therefore, the power grid fault node is determined according to the power grid repair method. The specific method refers to Figure 5 the steps in

[0146] The power grid repair method refers to the method of determining the fault point after automatically repairing the faults that can be automatically repaired, and is stored in the controller by the operator.

[0147] Referring to Figure 5 , the steps for determining the power grid fault point according to the preset power grid repair method include:

[0148] Step S500: Determine the repair device parameters according to the basic fault position and the preset position repair relationship.

[0149] Among them, the position repair relationship refers to the corresponding relationship between the fixed connection node position and the repair device. For example, the 1st fixed connection node corresponds to the A repair device, and the operator forms a mapping table after corresponding the fixed connection node positions and the repair devices one by one.

[0150] The repair device parameters refer to the repair devices that need to be started, and are obtained by the control center looking up in the mapping table corresponding to the position repair relationship according to the basic fault position.

[0151] Step S501: Control the restart of a preset automatic repair device according to the repair device parameters, and obtain the repair performance parameters of the power grid fault area.

[0152] Among them, after the control center obtains the repair device parameters, the control center controls the restart of the automatic repair device corresponding to the repair device parameters, and detects the repair performance parameters of the power grid fault area, providing data support for determining whether it is necessary to detect other fault points subsequently.

[0153] The automatic repair device refers to a device that can be automatically restarted at a fixed connection node, such as the opening and closing of a distribution box, etc. The repair performance parameters refer to the operating parameters of the power grid fault area after the fault at the fixed connection node is automatically repaired, which are detected by the power monitoring system and sent to the control system.

[0154] Step S502: Determine whether the repair performance parameters meet the requirements of the preset normal operating parameters.

[0155] Among them, the normal operating parameters refer to the operating parameters when the power grid has no faults, and the requirements for the normal operating parameters refer to being within the parameter range corresponding to the normal operating parameters, which are stored in the control center by the operator.

[0156] The control center determines whether the repair performance parameters are within the parameter range corresponding to the normal operating parameters, so as to determine whether the power grid returns to normal after the fault at the fixed connection node is repaired.

[0157] Step S5021: If not, obtain the moving fault position of the power grid fault area.

[0158] Among them, if the control center determines that the repair performance parameters are not within the parameter range corresponding to the normal operating parameters, it indicates that the power grid has not returned to normal after the fault at the fixed connection node is repaired, and there are still faults in other positions. Therefore, the moving fault position is detected to provide data support for determining the power grid fault point subsequently.

[0159] The moving fault position in this step is the same as the moving fault position in step S4011, and will not be elaborated here.

[0160] Step S50211: Correlate the basic fault position and the moving fault position to generate the power grid fault point.

[0161] Among them, the power grid fault point in this step is the same as the power grid fault point in step S40111, and will not be elaborated here.

[0162] Step S5022: If it meets the requirements, define the basic fault position as the power grid fault point.

[0163] Among them, if the control center determines that the repair performance parameter is within the parameter range corresponding to the normal operation parameter, it indicates that only a fixed connection node has a fault. Therefore, the basic fault location is defined as the power grid fault point.

[0164] Referring to Figure 6 , the steps of controlling the visual device to detect the power grid fault area according to the start mobile device parameter to determine the power grid fault point include:

[0165] Step S600: Determine the mobile detection trajectory according to the power grid fault area and the preset area trajectory relationship.

[0166] Among them, the area trajectory relationship refers to the corresponding relationship between the power grid fault area and the mobile detection trajectory, which is formed by the operator corresponding all areas with the trajectories of all lines detected by the visual device moving in the area one by one to form a mapping table.

[0167] The mobile detection trajectory refers to the trajectory of the visual device moving to detect the fault point, which is obtained by the control center looking up in the mapping table corresponding to the area trajectory relationship according to the power grid fault area.

[0168] Step S601: Control the visual device to detect the power grid fault area according to the start device parameter and the mobile detection trajectory to generate a mobile detection image.

[0169] Among them, after determining the mobile detection trajectory, the control center controls the corresponding visual device to detect and photograph the power grid fault area along the mobile detection trajectory to obtain a mobile detection image, providing data support for subsequent determination of the power grid fault point.

[0170] The mobile detection image refers to the image taken of the lines in the power grid fault area during the process of the visual device moving along the mobile detection trajectory.

[0171] Step S602: Determine whether the mobile detection image meets the requirements of the preset mobile fault characteristics.

[0172] Among them, the mobile fault characteristics refer to the characteristics of faults occurring in other positions, such as line disconnection, wire connection or line grounding and other characteristics. The requirements of the mobile fault characteristics refer to those existing in the mobile fault characteristics.

[0173] The control center extracts and identifies the characteristics of the mobile detection image, thereby determining whether the identified characteristics exist in the mobile fault characteristics, so as to determine whether the currently detected position has a fault.

[0174] Step S6021: If not, continue to control the visual device to detect the power grid fault area according to the start device parameter and the mobile detection trajectory to generate a mobile detection image for cyclic judgment.

[0175] Among them, if the control center determines that the identified feature does not exist in the mobile fault features, it indicates that there is no fault at the currently detected location. Therefore, continue to control the corresponding visual device to move along the mobile detection trajectory according to the starting device parameters and take a mobile detection image of the power grid fault area, so as to continuously monitor the fault conditions at other locations within the power grid fault area.

[0176] Step S6022: If it meets the conditions, obtain the real-time moving position.

[0177] Among them, if the control center determines that the identified feature exists in the mobile fault features, it indicates that there is a fault at the currently detected location. Therefore, detect the real-time moving position to provide data support for subsequent determination of the power grid fault point.

[0178] The real-time moving position refers to the position when the fault is detected, which is obtained by identifying and calling the position of the visual device when the control center determines that the visual device has detected a fault.

[0179] Step S603: Associate the real-time moving positions to generate a power grid fault point.

[0180] Among them, after the visual device has completed the detection of the power grid fault area, the control center stores all the real-time moving positions in the same data packet to form a power grid fault point.

[0181] Refer to Figure 7 , the steps of isolating and self-healing the smart grid according to the maintenance fault source to control the preset isolation protection device include:

[0182] Step S700: Analyze the maintenance fault source and the preset isolation points to determine the isolation area and the non-isolation area.

[0183] Among them, the isolation point refers to the position where the isolation protection device exists in the power grid fault area, which is stored in the control center by the operator. The isolation area refers to the area where the fault occurs after being isolated in the power grid fault area, and the non-isolation area refers to the area outside the isolation area in the power grid fault area, which is obtained by the control center starting the isolation point to isolate the fault point from the rest of the area according to the positions of the isolation point and the fault point in the power grid fault area.

[0184] Step S701: Control the isolation protection device to isolate the isolation area and the non-isolation area, and obtain the demand load parameters of the non-isolation area.

[0185] Among them, after determining the isolation area and the non-isolation area, control the isolation protection device to disconnect, so as to isolate the isolation area and the non-isolation area, thus preventing the power failure in the isolation area from affecting the normal power consumption of the non-isolation area, and detecting the demand load parameters of the non-isolation area to provide data support for subsequent power restoration of the non-isolation area.

[0186] The demand load parameter refers to the power demand load in the non-isolated area, which is obtained by the power monitoring system through analyzing the non-isolated area based on historical data.

[0187] Step S702: Obtain the remaining load parameter of the preset power restoration network.

[0188] Among them, the power restoration network refers to the power grid for restoring power to the power grid fault area. The remaining load parameter refers to the power load that the power restoration network can accept, which is obtained by the power monitoring system detecting the power restoration network.

[0189] Step S703: Determine whether the demand load parameter meets the requirements of the remaining load parameter.

[0190] Among them, the requirement of the remaining load parameter means not greater than the load corresponding to the remaining load parameter. The control center determines whether the demand load parameter is not greater than the load corresponding to the remaining load parameter, so as to determine whether the power restoration network can support the power restoration of the non-isolated area.

[0191] Step S7031: If it meets the requirements, control the power restoration network to restore power to the non-isolated area.

[0192] Among them, if the control center determines that the demand load parameter is not greater than the load corresponding to the remaining load parameter, it indicates that the power restoration network can support the power restoration of the non-isolated area. Therefore, change the topological structure of the power grid to make the power restoration network restore power to the non-isolated area, so as to ensure the normal power consumption of the non-isolated area in the shortest time.

[0193] Step S7032: If it does not meet the requirements, analyze the non-isolated area to determine the secondary area and obtain the power restoration load parameter of the secondary area.

[0194] Among them, if the control center determines that the demand load parameter is greater than the load corresponding to the remaining load parameter, it indicates that the power restoration network cannot support the overall power restoration of the non-isolated area. Therefore, re-divide the non-isolated area to form a secondary area, and detect the power restoration load parameter of the secondary area to provide data support for subsequent power restoration.

[0195] The secondary area refers to the smallest unit area in the non-isolated area, which is obtained by the control center re-dividing the non-isolated area according to the isolation points in the non-isolated area. The power restoration load parameter refers to the power load required for the power restoration of the secondary area, which is determined by the power monitoring system based on the historical operation data of the secondary area.

[0196] Step S704: Analyze the power restoration load parameter and the remaining load parameter of the secondary area to determine the power restoration area;

[0197] Among them, the power restoration area refers to the secondary area that can be restored to power, which is obtained by the control center selecting the secondary areas whose sum of power restoration load parameters is not greater than the remaining load parameter.

[0198] Step S705: Control the power restoration network to restore power to the power restoration area.

[0199] Among them, after determining the power restoration area, the topology of the power grid is correspondingly changed, so as to control the power restoration network to restore power to the power restoration area, and ensure that more areas are restored to power as much as possible.

[0200] Based on the same inventive concept, an embodiment of the present invention provides an intelligent power grid data monitoring system, including:

[0201] An acquisition module, configured to acquire a power grid fault area, fault performance parameters, actual fault characteristics, compliance device parameters, moving fault positions, repair performance parameters, real-time moving positions, demand load parameters, remaining load parameters, and power restoration load parameters;

[0202] A memory, configured to store a program of an intelligent power grid data monitoring method;

[0203] A processor, the program in the memory can be loaded and executed by the processor and implement an intelligent power grid data monitoring method.

[0204] Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the above-mentioned division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0205] An embodiment of the present invention provides a computer-readable storage medium, storing a computer program that can be loaded and executed by a processor and implement an intelligent power grid data monitoring method.

[0206] Computer storage media include, for example: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0207] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, and a computer program that can be loaded and executed by the processor is stored on the memory.

[0208] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the system, device, and unit described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be elaborated herein.

[0209] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example of a series of equivalent or similar features.

Claims

1. A smart grid data monitoring method, characterized in that: include: Obtaining a grid fault area and corresponding fault performance parameters of a smart grid; Determine whether the fault performance parameters meet the requirements of the preset known fault point parameters; If it is in compliance, the power grid fault point is determined based on the fault performance parameters and the preset parameter fault point relationship; If it does not meet the requirements, the preset visual device is controlled to detect the power grid fault area to determine the power grid fault point; Associating a grid fault area with a grid fault point to generate a maintenance fault source; According to the maintenance fault source, the preset isolation protection device is controlled to isolate and self-heal the smart grid, and an alarm is issued according to the maintenance fault source to prompt the operation and maintenance personnel to perform maintenance; The step of controlling a preset visual device to detect a power grid fault area to determine a power grid fault point includes: determining a startup fixed device parameter and a startup mobile device parameter according to a relationship between the power grid fault area and preset regional device parameters; analyzing fault performance parameters to determine a power fault type; determining whether the power fault type meets the requirements of a preset fixed point detection type; if not, controlling the visual device to detect the power grid fault area according to the startup mobile device parameter to determine a power grid fault point; if yes, controlling the visual device to detect the power grid fault area according to the startup mobile device parameter and the startup fixed device parameter to determine a power grid fault point; The steps of controlling the visual device to detect the power grid fault area according to the parameters of starting the mobile device and the parameters of starting the fixed device to determine the power grid fault point include: controlling the visual device to detect the power grid fault area according to the parameters of starting the fixed device to generate a fixed point image; judging whether the fixed point image meets the requirements of the preset fixed point fault characteristics; if not, controlling the visual device to detect the power grid fault area according to the parameters of starting the mobile device to determine the power grid fault point; if it meets, obtaining the actual fault characteristics and the device parameters that meet the requirements; analyzing the actual fault characteristics and the device parameters that meet the requirements to determine the power grid fault point.

2. A smart grid data monitoring method according to claim 1, characterized in that: The steps of analyzing the actual fault characteristics and the device parameters to determine the fault point of the power grid include: Determine the basic fault location based on the device parameters and the preset device position relationship; Determine whether the actual fault characteristics meet the requirements of the preset automatic repair characteristics; If not, the mobile fault location of the power grid fault area is obtained; associating a basic fault location with a mobile fault location to generate a grid fault point; If it meets the requirements, the grid fault point is determined according to the preset grid repair method.

3. A smart grid data monitoring method according to claim 2, characterized in that: The steps of determining the grid fault point according to the preset grid repair method include: Determine the parameters of the repair device according to the basic fault location and the preset location repair relationship; Control the preset automatic repair device to restart according to the repair device parameters, and obtain the repair performance parameters of the power grid fault area; Determine whether the repair performance parameters meet the requirements of the preset normal operating parameters; If not, the mobile fault location of the power grid fault area is obtained; associating a basic fault location with a mobile fault location to generate a grid fault point; If it meets the requirements, the basic fault location is defined as the power grid fault point.

4. A smart grid data monitoring method according to any one of claim 1, characterized in that: The steps of controlling the visual device to detect the power grid fault area and determine the power grid fault point according to the parameters of the starting mobile device include: Determine the mobile detection trajectory according to the relationship between the power grid fault area and the preset regional trajectory; Controlling the visual device to detect the power grid fault area according to the parameters of the starting device and the mobile detection trajectory to generate a mobile detection image; Determine whether the motion detection image meets the requirements of preset motion fault characteristics; If it does not meet the requirements, the visual device is controlled to detect the fault area of ​​the power grid according to the parameters of the starting device and the movement detection trajectory to generate a movement detection image for cyclic judgment; If it meets the requirements, the real-time mobile location is obtained; Correlate real-time mobile locations to generate grid fault points.

5. A smart grid data monitoring method according to claim 1, characterized in that: The steps of isolating and self-healing the smart grid by controlling the preset isolation protection device according to the maintenance fault source include: Analyze the maintenance fault source and the preset isolation point to determine the isolation area and non-isolation area; Control the isolation protection device to isolate the isolation area and the non-isolation area, and obtain the required load parameters of the non-isolation area; Obtain the remaining load parameters of the preset power restoration network; Determine whether the required load parameters meet the requirements of the remaining load parameters; If it meets the requirements, the power restoration network is controlled to restore power to the non-isolated area; If not, the non-isolated area is analyzed to determine the secondary area and obtain the secondary area's repowering load parameters; Analyze the power restoration load parameters and residual load parameters of the secondary area to determine the power restoration area; Control the power restoration network to restore power to the power restoration area.

6. A smart grid data monitoring system, characterized in that: include: An acquisition module, used to acquire power grid fault area and fault performance parameters; A memory, used to store a program of a smart grid data monitoring method according to any one of claims 1 to 5; The program in the memory can be loaded and executed by the processor to implement a smart grid data monitoring method as described in any one of claims 1 to 5.

7. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a smart grid data monitoring method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: A computer program capable of being loaded by a processor and executing a smart grid data monitoring method as claimed in any one of claims 1 to 5 is stored.

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