Smart power grid data monitoring method and system, terminal and storage medium

Abstract

The invention relates to a smart power grid data monitoring method and system, a terminal and a storage medium, and the method comprises the steps: obtaining a power grid fault region of a smart power grid and a corresponding fault performance parameter; judging whether the fault performance parameters meet the requirements of preset known fault point parameters or not; if yes, determining a power grid fault point according to a fault performance parameter and a preset parameter fault point relationship; if not, controlling a preset visual device to detect the power grid fault area so as to determine a power grid fault point; associating the power grid fault area with the power grid fault point to generate a maintenance fault source; and according to the maintenance fault source, controlling a preset isolation protection device to carry out isolation self-healing on the intelligent power grid, and according to the maintenance fault source, giving an alarm to prompt operation and maintenance personnel to carry out maintenance. The method has the effect of improving the processing speed of the power grid fault.

Description

Technical Field

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

[0002] The power monitoring system is an automated system used to monitor, record and analyze the operating status of the power system in real time. It collects parameters such as voltage, current, power, frequency, etc. of the power system through various sensors, smart meters and other data acquisition devices, and transmits this information to the control center for processing and analysis.

[0003] In the related technology, the power monitoring system transmits the 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 the area, thereby issuing an alarm and reminding the operation and maintenance personnel to inspect the rated power grid in the area.

[0004] Regarding the above-mentioned related technologies, because the sensors of the power monitoring system are installed in a distributed manner, the related 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 carry out maintenance, the operation and maintenance personnel can only reach the area corresponding to the abnormal data and confirm and repair the fault point based on the abnormal data, but cannot directly repair the fault point, resulting in slow power grid fault processing speed, and there is still room for improvement. Summary of the invention

[0005] In order to improve the processing speed of power grid faults, the present application provides a smart grid data monitoring method, system, terminal and storage medium.

[0006] In a first aspect, the present application provides a smart grid data monitoring method, which adopts the following technical solution: A smart grid data monitoring method, comprising: 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.

[0007] By adopting the above technical scheme, when the fault performance parameters meet the requirements of the known fault point parameters, the power grid fault point is directly found and determined in the parameter fault point relationship according to the fault performance parameters; when it does 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 associating it with the power grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, so that the operation and maintenance personnel can go directly to the fault point for maintenance and save the time of checking the fault point, thereby improving the processing speed of the power grid fault.

[0008] Optionally, the step of controlling a preset visual device to detect a power grid fault area to determine a power grid fault point includes: Determine the parameters for starting a fixed device and the parameters for starting a mobile device according to the relationship between the power grid fault area and the preset regional device parameters; Analyze fault performance parameters to determine the type of power fault; Determine whether the power fault type meets the requirements of the preset fixed point detection type; If it does not meet the requirements, the visual device is controlled according to the parameters of the start-up mobile device to detect the grid fault area to determine the grid fault point; If it is met, the visual device is controlled according to the parameters of the mobile device and the fixed device to detect the power grid fault area to determine the power grid fault point.

[0009] By adopting the above technical scheme, the type of power fault is determined according to the fault performance parameters. Therefore, 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 only according to the parameters of the starting mobile device to determine the power grid fault point; when it meets the requirements, the visual device is controlled according to the parameters of the starting mobile device and the parameters of the starting fixed device to determine the power grid fault point, thereby reducing unnecessary operations on the visual device and improving the efficiency of determining the power grid fault point.

[0010] Optionally, the step of controlling the visual device to detect the power grid fault area to determine the power grid fault point according to the starting mobile device parameter and the starting fixed device parameter includes: Controlling the visual device to detect the fault area of ​​the power grid according to the parameters of the starting fixed device to generate a fixed point image; Determine whether the fixed point image meets the requirements of the preset fixed point fault characteristics; If it does not meet the requirements, the visual device is controlled according to the parameters of the start-up mobile device to detect the grid fault area to determine the grid fault point; If it meets the requirements, the actual fault characteristics and the matching device parameters are obtained; The actual fault characteristics and compliance device parameters are analyzed to determine the grid fault point.

[0011] By adopting the above technical scheme, the visual device is controlled to detect the fixed point image according to the starting parameters of the fixed device. 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 not failed. Therefore, the visual device is controlled to move and detect to determine the power grid fault point; if it is determined that the fixed point has failed, the power grid fault point is determined 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.

[0012] Optionally, the step of analyzing actual fault characteristics and compliance device parameters to determine the power grid fault point includes: 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.

[0013] By adopting the above technical scheme, when the actual fault characteristics do not meet the requirements of the automatic repair characteristics, the visual device is controlled to move to detect the mobile fault position, and the power grid fault point is generated after associating the basic fault position and the mobile fault position; when it meets the requirements of the automatic repair characteristics, the power grid fault point is determined according to the power grid repair method, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0014] Optionally, the step of determining the power grid fault point according to a preset power grid repair method includes: 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.

[0015] By adopting the above technical solution, the automatic repair device is controlled to restart and then the repair performance parameters are detected. When the repair performance parameters meet the requirements of the normal operating parameters, it indicates that only the fixed point has a fault, so the basic fault position is defined as the power grid fault point; if it does not meet the requirements, it indicates that there are other locations that have faults, so the mobile fault position is detected, and the power grid fault point is generated after being associated with the basic fault position, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0016] Optionally, the step of controlling the visual device to detect the power grid fault area according to the parameters of the starting mobile device to determine the power grid fault point includes: 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.

[0017] By adopting the above-mentioned technical scheme, the visual device is controlled to move along the mobile detection trajectory and take a mobile detection image. When the mobile detection image meets the requirements of the mobile fault characteristics, the real-time mobile position is recorded. Finally, all the real-time mobile positions are associated to generate a power grid fault point, thereby improving the efficiency and accuracy of determining the power grid fault point.

[0018] Optionally, the steps of controlling a preset isolation protection device to isolate and self-heal the smart grid 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.

[0019] By adopting the above technical scheme, the isolation device is controlled to isolate the isolation area and the non-isolated area to prevent the power failure in the isolation area from affecting the non-isolated area, and when the remaining load parameter of the power restoration network is not lower than the required load parameter, the power restoration network is controlled to restore power to the non-isolated area. If it is lower than the required load parameter, the non-isolated area is divided into multiple secondary areas, and the power restoration area in the secondary area is determined according to the relationship between the power restoration load parameter and the remaining load parameter of the secondary area, and the power restoration network is controlled to restore power to the power restoration area, thereby ensuring that the affected area resumes power supply in the shortest time.

[0020] In a second aspect, the present application provides a smart grid data monitoring system, which adopts the following technical solutions: A smart grid data monitoring system, comprising: 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 as described in any one of the above items; The program in the processor memory can be loaded and executed by the processor to implement a smart grid data monitoring method as described in any one of the above items.

[0021] By adopting the above technical solution, the control processor loads and executes a program of a smart grid data monitoring method stored in the memory, so that the acquisition module obtains a series of data related to the smart grid data monitoring, so that when the fault performance parameters meet the requirements of the known fault point parameters, the grid fault point is directly found and determined in the parameter fault point relationship according to the fault performance parameters; when it does not meet the requirements, before the operation and maintenance personnel rush to the grid fault area, the visual device is controlled to detect and determine the grid fault point, and after associating with the grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, so that the operation and maintenance personnel can go directly to the fault point for maintenance and save the time of checking the fault point, thereby improving the processing speed of the grid fault.

[0022] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution: An intelligent terminal 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 the above items.

[0023] By adopting the above technical solution, by operating the intelligent terminal, the processor loads and executes a computer program of an intelligent grid data monitoring method stored in the memory, so that when the fault performance parameters meet the requirements of the known fault point parameters, the grid fault point is directly found and determined in the parameter fault point relationship according to the fault performance parameters; when it does not meet the requirements, before the operation and maintenance personnel rush to the grid fault area, the visual device is controlled to detect and determine the grid fault point, and after associating with the grid fault area, a maintenance fault source is generated, thereby prompting the operation and maintenance personnel, so that the operation and maintenance personnel can go directly to the fault point for maintenance and save the time of checking the fault point, thereby improving the processing speed of the grid fault.

[0024] In a fourth aspect, the present application provides a computer storage medium capable of storing corresponding programs, which has the characteristic of facilitating the improvement of the processing speed of power grid faults, and adopts the following technical solutions: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned smart grid data monitoring methods.

[0025] By adopting the above technical scheme, a computer program of a smart grid data monitoring method is stored in a computer-readable storage medium, so that a processor loads and executes the computer program in the storage medium, so that when the fault performance parameters meet the requirements of the known fault point parameters, the grid fault point is directly found and determined in the parameter fault point relationship according to the fault performance parameters; when it does not meet the requirements, before the operation and maintenance personnel rush to the grid fault area, the visual device is controlled to detect and determine the grid fault point, and a maintenance fault source is generated after being associated with the grid fault area, so as to prompt the operation and maintenance personnel, so that the operation and maintenance personnel can go directly to the fault point for maintenance and save the time of checking the fault point, thereby improving the processing speed of the grid fault.

[0026] In summary, the present application includes at least one of the following beneficial technical effects: When the fault performance parameters meet the requirements of the known fault point parameters, the grid fault point is directly found in the parameter fault point relationship according to the fault performance parameters; when it does not meet the requirements, before the operation and maintenance personnel rush to the grid fault area, the visual device is controlled to detect and determine the grid fault point, and the maintenance fault source is generated after being associated with the grid fault area, so as to prompt the operation and maintenance personnel, so that the operation and maintenance personnel can directly go to the fault point for maintenance and save the time of checking the fault point, thereby improving the processing speed of the grid fault; By determining the type of power fault 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 only according to the parameters of the starting mobile device to determine the power grid fault point; and when it meets the requirements, the visual device is controlled according to the parameters of the starting mobile device and the parameters of the starting fixed device to determine the power grid fault point, thereby reducing redundant operations on the visual device and improving the efficiency of determining the power grid fault point; By controlling the automatic repair device to restart and then detecting the repair performance parameters, when the repair performance parameters meet the requirements of normal operating parameters, it means that only the fixed point has a fault, so the basic fault location is defined as the power grid fault point; if it does not meet the requirements, it means that there are other locations that have faults, so the mobile fault location is detected, and the power grid fault point is generated after being associated with the basic fault location, thereby improving the efficiency and accuracy of determining the power grid fault point. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a smart grid data monitoring method in an embodiment of the present application.

[0028] Figure 2 It 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.

[0029] Figure 3 It is a flowchart of 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 starting the mobile device and starting the fixed device in the embodiment of the present application.

[0030] Figure 4 It is a flowchart of the steps of analyzing actual fault characteristics and compliance device parameters to determine the power grid fault point in an embodiment of the present application.

[0031] Figure 5 It is a flowchart of the steps of determining the power grid fault point according to the preset power grid repair method in an embodiment of the present application.

[0032] Figure 6 It is a flowchart of 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 in the embodiment of the present application.

[0033] Figure 7 It is a flow chart of the steps of isolating and self-healing the smart grid by controlling a preset isolation protection device according to a maintenance fault source in an embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 7It 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.

[0035] The embodiment of the present application discloses a smart grid data monitoring method, specifically discloses a control center, a power monitoring system and a visual device. The control center is respectively connected to the power monitoring system and the visual device through wireless data to realize data interaction and control. When the power monitoring system detects a grid fault area of ​​the smart grid, the fault performance parameters of the grid fault area are synchronously sent to the control center. When the control center determines that the fault performance parameters meet the requirements of the known fault point parameters, the corresponding grid fault point is found from the parameter fault point relationship according to the fault performance parameters; if it does not meet the requirements, the control center controls the visual device to detect the grid fault area and determine the grid fault point. After determining the grid fault point, the grid fault area and the grid fault point are associated 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, thereby saving the time for checking the fault point, thereby improving the processing speed of the grid fault.

[0036] Reference Figure 1 The present application embodiment discloses a smart grid data monitoring method, comprising the following steps: Step S100: Acquire the grid fault area and corresponding fault performance parameters of the smart grid.

[0037] The grid fault area refers to the area where the fault occurs in the smart grid, and the fault performance parameters refer to the performance parameters of the 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 parameters are abnormal, the area is defined as the grid fault area, and the performance parameters of the area are defined as the fault performance parameters.

[0038] Step S101: determine whether the fault performance parameters meet the requirements of preset known fault point parameters.

[0039] Among them, the known fault point parameters refer to performance parameters that can directly determine the fault point. This type of performance parameters is usually a type of power equipment fault, which will issue performance parameters carrying fault codes. The requirement for known fault point parameters refers to the presence in the known fault point parameters.

[0040] The control center determines whether the fault performance parameters exist in the known fault point parameters, thereby determining whether the fault point can be directly determined through the fault performance parameters.

[0041] Step S1011: If it is met, the power grid fault point is determined according to the fault performance parameter and the preset parameter fault point relationship.

[0042] If the control center determines that the fault performance parameter exists in the known fault point parameter, it means that the fault point can be directly determined by the fault performance parameter. Therefore, the grid fault point is found in the mapping table corresponding to the parameter-fault point relationship according to the fault performance parameter.

[0043] The parameter fault point relationship refers to the correspondence between the performance parameters and the fault point. The operator forms a mapping table by matching the power equipment that can provide specific fault codes with the location of the power equipment. The power grid fault point refers to the specific location where the fault occurs in the power grid fault area. The power grid fault point in this step is found by the control center in the mapping table corresponding to the parameter fault point relationship based on the fault performance parameters.

[0044] Step S1012: If not, control the preset visual device to detect the grid fault area to determine the grid fault point.

[0045] If the control center determines that the fault performance parameters do not exist in the known fault point parameters, it means that the fault point cannot be directly determined by the fault performance parameters. Therefore, the control visualization device detects the fault area of ​​the power grid and determines the fault point of the power grid. The specific method is as follows Figure 2 steps.

[0046] The visual device includes a fixed point visual device and a mobile visual device. The fixed point visual device refers to a camera that shoots and detects some fixed points, and the mobile visual device refers to a drone that shoots and detects the lines in the entire area. The power grid fault point in this step is defined the same as the power grid fault point in step S1011, but the power grid fault point in this step is detected by the visual device.

[0047] Step S102: Associating the power grid fault area and the power grid fault point to generate a maintenance fault source.

[0048] Among them, the maintenance fault source refers to the fault point within the fault area displayed on the geographic information system. The control center marks it 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 point within the power grid fault area.

[0049] Step S103: Control the preset isolation protection device according to the maintenance fault source to isolate and self-heal the smart grid, and issue an alarm according to the maintenance fault source to prompt the operation and maintenance personnel to perform maintenance.

[0050] After the source of the maintenance fault is determined, the isolation protection device is controlled to isolate and self-heal the smart grid. The specific method is as follows Figure 7steps to ensure that the faulty area will not affect the normal power consumption of other areas, and alarm prompts will be given according to the source of the repair fault, so that the operation and maintenance personnel can directly reach the fault point for repair and save time in finding the fault point, thereby improving the speed of power grid fault handling.

[0051] An isolation protection device is a device that isolates the fault area from the non-fault area, usually an isolation switch or a circuit breaker.

[0052] Reference Figure 2 The steps of controlling a preset visual device to detect a power grid fault area and determine a power grid fault point include: Step S200: determining the fixed device startup parameters and the mobile device startup parameters according to the relationship between the power grid fault area and the preset regional device parameters.

[0053] Among them, the regional device parameter relationship refers to the corresponding relationship between the power grid fault area and the visual device parameters. For example, there is a fixed visual device No. 1 and a mobile visual device No. 2 in the power grid fault area No. 1. The operator forms a mapping table by matching each area with the visual device parameters in the area one by one.

[0054] The starting fixed device parameters refer to the fixed visible device parameters within the power grid fault area, and the starting mobile device parameters refer to the mobile visible device parameters within the power grid fault area, which are obtained by the control center by searching in the mapping table corresponding to the regional device parameter relationship according to the power grid fault area.

[0055] Step S201: Analyze the fault performance parameters to determine the type of power fault.

[0056] Among them, the power fault type refers to the specific fault type occurring in the power grid fault area, which is determined by the control center after specific analysis based on the fault performance parameters. In one embodiment, the fault performance parameters can be identified using a trained machine learning model; in another embodiment, it is obtained based on the analysis of the relationship between voltage and current. For example, when the relationship between various voltages changes and a large grounding current is generated, it indicates that a grounding fault has occurred; the presence of extremely high current and extremely low voltage indicates that a short circuit has occurred; if the upstream voltage remains unchanged and there is no current, it indicates that a circuit break has occurred.

[0057] Step S202: Determine whether the power fault type meets the requirements of the preset fixed point detection type.

[0058] Among them, the fixed point detection type refers to the type of fault that may occur at a fixed connection node, such as a short circuit or an open circuit. The fixed connection node refers to locations such as a distribution box. The requirements for the fixed point detection type refer to being consistent with the fixed point detection type.

[0059] The control center determines whether the power fault type is consistent with the fixed point detection type, thereby determining whether the fault may occur at a fixed connection node.

[0060] Step S2021: If not, the visual device is controlled according to the parameters of the activated mobile device to detect the grid fault area to determine the grid fault point.

[0061] If the control center determines that the power fault type is inconsistent with the fixed point detection type, it means that the fault will not occur at a fixed connection node. Therefore, the visual device is controlled according to the parameters of the mobile device to detect the power grid fault area and then determine the power grid fault point. The specific method is as follows Figure 6 steps.

[0062] The grid fault point in this step is consistent with the grid fault point in step S1012, and will not be described in detail here.

[0063] Step S2022: If it is met, the visual device is controlled 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.

[0064] If the control center determines that the power fault type is consistent with the fixed point detection type, it means that the fault will occur at the fixed connection node and other locations that require mobile detection. Therefore, according to the parameters of the mobile device startup and the fixed device startup parameters, the visual device is controlled to detect the power grid fault area and then determine the power grid fault point. The specific method is referred to Figure 3 steps.

[0065] The grid fault point in this step is consistent with the grid fault point in step S1012, and will not be described in detail here.

[0066] Reference Figure 3 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 mobile device and the fixed device include: Step S300: controlling the visual device to detect the power grid fault area according to the parameters of the starting fixed device to generate a fixed point image.

[0067] Among them, the fixed point image refers to the image taken of the fixed connection node. The control center controls the corresponding visual device according to the parameters of the starting fixed device to take pictures of the power grid fault area and send it to the control center.

[0068] Step S301: determining whether the fixed point image meets the requirements of preset fixed point fault characteristics.

[0069] Among them, fixed-point fault characteristics refer to fault characteristics that may occur at fixed connection nodes, such as reverse line connection, wire overlap or wire breakage, and the requirements for fixed-point fault characteristics refer to the characteristics that exist in fixed-point fault characteristics.

[0070] The control center performs feature recognition and extraction on the fixed point image to determine whether the fixed point feature exists in the fixed point fault feature, thereby determining whether the fixed point fails.

[0071] Step S3011: If not, the visual device is controlled to detect the grid fault area according to the parameters of the activated mobile device to determine the grid fault point.

[0072] If the control center determines that the fixed point feature does not exist in the fixed point fault feature, it means that the fixed connection node has not failed. Therefore, the visual device is controlled according to the parameters of the mobile device to detect the power grid fault area and determine the power grid fault point. The specific method is as follows: Figure 6 steps.

[0073] Step S3012: If it is in compliance, then obtain the actual fault characteristics and the compliance device parameters.

[0074] Among them, if the control center determines that the fixed point feature exists in the fixed point fault feature, it means that the fixed connection node fails, so the actual fault feature and the corresponding device parameters are called to provide data support for the subsequent determination of the power grid fault point.

[0075] The actual fault feature refers to the feature in the fixed point image that is consistent with the fixed point fault feature, which is identified and called by the control center. The consistent device parameters refer to the parameters of the visual device that captures the fixed point image that is consistent with the fixed point fault feature, which is obtained by the control center determining the fixed point image that is consistent with the fixed point fault feature and identifying the device parameters that captured the image.

[0076] Step S302: Analyze the actual fault characteristics and the corresponding device parameters to determine the power grid fault point.

[0077] Among them, after determining the actual fault characteristics and the device parameters, the control center analyzes the actual fault characteristics and the device parameters to determine the power grid fault point. The specific method is referred to Figure 4 steps.

[0078] Reference Figure 4 , the steps of analyzing the actual fault characteristics and the compliance device parameters to determine the grid fault point include: Step S400: determining a basic fault location according to device parameters and a preset device location relationship.

[0079] The device position relationship refers to the correspondence between fixed visual devices and device positions. For example, fixed visual device No. 1 is located at position No. 1, and the operator forms a mapping table by corresponding all fixed visual devices to device positions one by one.

[0080] The basic fault location refers to the location where the fixed connection node fails, which is found by the control center in the mapping table corresponding to the device position relationship according to the device parameters.

[0081] Step S401: Determine whether the actual fault characteristics meet the requirements of the preset automatic repair characteristics.

[0082] Among them, the automatic repair feature refers to a fault feature that can be automatically repaired through remote operation, such as a switch disconnection, and the requirements for the automatic repair feature refer to consistency with the features corresponding to the automatic repair feature.

[0083] The control center determines whether the actual fault characteristics are consistent with the characteristics corresponding to the automatic repair characteristics, thereby determining whether the fixed connection node can be automatically repaired.

[0084] Step S4011: If not, obtain the mobile fault position of the power grid fault area.

[0085] Among them, if the control center determines that the actual fault characteristics are inconsistent with the characteristics corresponding to the automatic repair characteristics, it means that the fault at the fixed connection node cannot be automatically repaired. Therefore, it is still necessary to detect faults outside the fixed connection nodes. Therefore, the mobile fault position in the power grid fault area is detected to provide data support for the subsequent determination of the power grid fault point.

[0086] Mobile fault location refers to the mobile visual device detecting the location of the fault outside the fixed connection node. The actual detection method is similar to Figure 6 The steps for determining the fault point of the power grid are the same.

[0087] Step S40111: Associating the basic fault location and the mobile fault location to generate a power grid fault point.

[0088] The power grid fault point in this step is consistent with 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 mobile fault positions in the same data packet.

[0089] Step S4012: If it is in compliance, the grid fault point is determined according to a preset grid repair method.

[0090] If the control center determines that the actual fault characteristics are consistent with the characteristics corresponding to the automatic repair characteristics, it means that the fault at the fixed connection node can be automatically repaired. Therefore, the grid fault node is determined according to the grid repair method. The specific method is referred to Figure 5 steps, thereby saving as much time as possible in determining the fault point.

[0091] The power grid repair method refers to a method for determining the fault point after automatically repairing the fault that can be automatically repaired, and is stored in the controller by the operator.

[0092] Reference Figure 5 , the steps of determining the grid fault point according to the preset grid repair method include: Step S500: Determine the parameters of the repair device according to the basic fault location and the preset location repair relationship.

[0093] Among them, the position repair relationship refers to the corresponding relationship between the fixed connection node position and the repair device. For example, fixed connection node No. 1 corresponds to repair device A. The operator forms a mapping table by matching the fixed connection node positions with the repair devices one by one.

[0094] The repair device parameters refer to the repair device that needs to be started, which is found by the control center in the mapping table corresponding to the position-repair relationship according to the basic fault location.

[0095] Step S501: Control a preset automatic repair device to restart according to the repair device parameters, and obtain repair performance parameters of the power grid fault area.

[0096] Among them, after the control center obtains the repair device parameters, the control center controls the automatic repair device corresponding to the repair device parameters to restart, and detects the repair performance parameters of the power grid fault area to provide data support for subsequent determination of whether to detect other fault points.

[0097] The automatic repair device refers to a device installed at a fixed connection node that can automatically restart, such as the opening and closing of a distribution box. The repair performance parameter refers to the operating parameters of the fault area of ​​the power grid after the fault at the fixed connection node is automatically repaired, which is detected by the power monitoring system and sent to the control system.

[0098] Step S502: Determine whether the repair performance parameters meet the requirements of preset normal operation parameters.

[0099] The normal operating parameters refer to the operating parameters when there is no fault in the power grid, and the requirements for the normal operating parameters refer to the parameter range corresponding to the normal operating parameters, which are stored in the control center by the operator.

[0100] The control center determines whether the repair performance parameters are within the parameter range corresponding to the normal operating parameters, thereby determining whether the power grid returns to normal after the fault at the fixed connection node is repaired.

[0101] Step S5021: If not, obtain the mobile fault position of the power grid fault area.

[0102] 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 means that after the fault at the fixed connection node is repaired, the power grid has not returned to normal, and faults still exist in other locations. Therefore, the mobile fault location is detected to provide data support for the subsequent determination of the power grid fault point.

[0103] The moving fault position in this step is consistent with the moving fault position in step S4011, and will not be described in detail here.

[0104] Step S50211: Associating the basic fault location and the mobile fault location to generate a power grid fault point.

[0105] Among them, the power grid fault point in this step is consistent with the power grid fault point in step S40111, and will not be repeated here.

[0106] Step S5022: If it is in compliance, the basic fault location is defined as a power grid fault point.

[0107] Among them, if the control center determines that the repair performance parameters are within the parameter range corresponding to the normal operating parameters, it means that the fault occurs only at the fixed connection node, so the basic fault location is defined as the power grid fault point.

[0108] Reference Figure 6 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: Step S600: determining a mobile detection trajectory according to a relationship between a power grid fault area and a preset regional trajectory.

[0109] The regional trajectory relationship refers to the correspondence between the power grid fault area and the mobile detection trajectory. The operator forms a mapping table by matching all areas with the trajectories of all lines detected by the visual device in the area.

[0110] 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 the mapping table corresponding to the regional trajectory relationship according to the power grid fault area.

[0111] Step S601: Controlling the visual device to detect the power grid fault area according to the starting device parameters and the movement detection trajectory to generate a movement detection image.

[0112] Among them, after determining the mobile detection trajectory, the control center controls the corresponding visual device according to the parameters of the starting device to detect and shoot the power grid fault area along the mobile detection trajectory to obtain a mobile detection image, providing data support for the subsequent determination of the power grid fault point.

[0113] The moving detection image refers to the image taken by the visual device of the lines in the fault area of ​​the power grid while it moves along the moving detection track.

[0114] Step S602: Determine whether the motion detection image meets the requirements of preset motion fault characteristics.

[0115] Among them, the mobile fault characteristics refer to the characteristics of faults occurring in other locations, such as line disconnection, wire bonding or line grounding, and the requirements for mobile fault characteristics refer to the requirements existing in the mobile fault characteristics.

[0116] The control center extracts and identifies features of the mobile detection image to determine whether the identified features exist in the mobile fault features, thereby determining whether a fault occurs at the current detection location.

[0117] Step S6021: If not, continue to control the visual device to detect the power grid fault area according to the startup device parameters and the mobile detection trajectory to generate a mobile detection image for cyclic judgment.

[0118] Among them, if the control center determines that the identified feature does not exist in the mobile fault feature, it means that there is no fault at the current detection location. Therefore, the corresponding visual device is controlled to continue moving along the mobile detection trajectory according to the starting device parameters and the power grid fault area is photographed to obtain a mobile detection image, thereby continuously monitoring the fault conditions at other locations within the power grid fault area.

[0119] Step S6022: If it meets the requirements, the real-time mobile location is obtained.

[0120] Among them, if the control center determines that the identified features exist in the mobile fault features, it indicates that a fault has occurred at the currently detected location, so the real-time mobile location is detected to provide data support for the subsequent determination of the power grid fault point.

[0121] The real-time moving position refers to the position when the fault is detected. When the control center determines that the visual device has detected a fault, the position of the visual device is identified and called.

[0122] Step S603: Associating the real-time mobile position to generate a power grid fault point.

[0123] After the visual device completes the detection of the power grid fault area, the control center stores all real-time mobile positions in the same data packet to form the power grid fault point.

[0124] Reference Figure 7 , the steps of isolating and self-healing the smart grid by controlling the preset isolation protection device according to the maintenance fault source include: Step S700: Analyze the maintenance fault source and the preset isolation point to determine the isolation area and the non-isolation area.

[0125] The isolation point refers to the location of the isolation protection device 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-isolated 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 location of the isolation point and the fault point in the power grid fault area.

[0126] Step S701: controlling the isolation protection device to isolate the isolation area and the non-isolation area, and obtaining the required load parameters of the non-isolation area.

[0127] Among them, after determining the isolation area and the non-isolation area, the isolation protection device is controlled to disconnect, thereby isolating the isolation area and the non-isolation area, so as to prevent the power failure in the isolation area from affecting the normal power consumption of the non-isolation area, and detect the demand load parameters of the non-isolation area to provide data support for the subsequent power restoration of the non-isolation area.

[0128] The demand load parameter refers to the power demand load of the non-isolated area, which is obtained by the power monitoring system through analysis of the non-isolated area based on historical data.

[0129] Step S702: Obtain the remaining load parameters of the preset power restoration network.

[0130] The power restoration network refers to the power grid that restores 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 detecting the power restoration network by the power monitoring system.

[0131] Step S703: Determine whether the required load parameters meet the requirements of the remaining load parameters.

[0132] The requirement of the remaining load parameter refers to a load not greater than the load corresponding to the remaining load parameter. The control center determines whether the required load parameter is not greater than the load corresponding to the remaining load parameter, thereby determining whether the power restoration network can support the restoration of power to the non-isolated area.

[0133] Step S7031: If it meets the requirements, the power restoration network is controlled to restore power to the non-isolated area.

[0134] 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 means that the power restoration network can support the power restoration of the non-isolated area. Therefore, the topology of the power grid is changed to enable the power restoration network to restore power to the non-isolated area, thereby ensuring normal power consumption in the non-isolated area in the shortest time.

[0135] Step S7032: If not, the non-isolated area is analyzed to determine the secondary area, and the restored power load parameters of the secondary area are obtained.

[0136] Among them, if the control center determines that the required load parameter is greater than the load corresponding to the remaining load parameter, it means that the power restoration network cannot support the overall power restoration of the non-isolated area. Therefore, the non-isolated area is divided again to form a secondary area, and the power restoration load parameters of the secondary area are tested to provide data support for subsequent power restoration.

[0137] The secondary area refers to the smallest unit area in the non-isolated area, which is obtained by the control center by 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 power restoration in the secondary area, which is determined by the power monitoring system after analyzing the historical operation data of the secondary area.

[0138] Step S704: Analyze the power restoration load parameters and the remaining load parameters of the secondary area to determine the power restoration area; The power restoration area refers to a secondary area that can be restored to power, and is obtained by the control center selecting a secondary area whose sum of restoration load parameters is not greater than the remaining load parameters.

[0139] Step S705: Control the power restoration network to restore power to the power restoration area.

[0140] Among them, after the power restoration area is determined, the topology of the power grid is changed accordingly, so as to control the power restoration network to restore power to the power restoration area and ensure that as many areas as possible are restored to power.

[0141] Based on the same inventive concept, an embodiment of the present invention provides a smart grid data monitoring system, including: An acquisition module is used to obtain the power grid fault area, fault performance parameters, actual fault characteristics, compliance device parameters, mobile fault location, repair performance parameters, real-time mobile location, required load parameters, remaining load parameters and power restoration load parameters; A memory for storing a program of a smart grid data monitoring method; The program in the memory can be loaded and executed by the processor to implement a smart grid data monitoring method.

[0142] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, 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 process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0143] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a smart grid data monitoring method.

[0144] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0145] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including 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.

[0146] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, 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 process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0147] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, 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.

2. A smart grid data monitoring method according to claim 1, characterized in that: The steps of controlling a preset visual device to detect a power grid fault area to determine a power grid fault point include: Determine the parameters for starting a fixed device and the parameters for starting a mobile device according to the relationship between the power grid fault area and the preset regional device parameters; Analyze fault performance parameters to determine the type of power fault; Determine whether the power fault type meets the requirements of the preset fixed point detection type; If it does not meet the requirements, the visual device is controlled according to the parameters of the start-up mobile device to detect the grid fault area to determine the grid fault point; If it is met, the visual device is controlled according to the parameters of the mobile device and the fixed device to detect the power grid fault area to determine the power grid fault point.

3. A smart grid data monitoring method according to claim 2, 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 mobile device and the fixed device include: Controlling the visual device to detect the fault area of ​​the power grid according to the parameters of the starting fixed device to generate a fixed point image; Determine whether the fixed point image meets the requirements of the preset fixed point fault characteristics; If it does not meet the requirements, the visual device is controlled according to the parameters of the start-up mobile device to detect the grid fault area to determine the grid fault point; If it meets the requirements, the actual fault characteristics and the matching device parameters are obtained; The actual fault characteristics and compliance device parameters are analyzed to determine the grid fault point.

4. A smart grid data monitoring method according to claim 3, 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.

5. A smart grid data monitoring method according to claim 4, 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.

6. A smart grid data monitoring method according to any one of claims 2-3, 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 the 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.

7. 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.

8. 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 7; 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 7.

9. 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 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a smart grid data monitoring method as claimed in any one of claims 1 to 7.

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