Automatic intelligent detection system and method for distribution network

Abstract

The invention provides an automatic intelligent detection system and method for a distribution network. The system comprises an intelligent sensor, a data acquisition and processing module and a distribution network monitoring center, the intelligent sensor carries out data acquisition on distribution network lines and equipment under the control of the data acquisition and processing module, and sends an acquisition result to the data acquisition and processing module; the data acquisition and processing module controls data acquisition of the intelligent sensor according to a control instruction sent by the distribution network monitoring center, and transmits an acquisition result of the intelligent sensor to the distribution network monitoring center for display and analysis; the distribution network monitoring center visually displays an acquisition result, controls the intelligent sensor to search for distribution network abnormity through operation of an operator, obtains abnormal information through analysis of acquired data, and cooperates with the data acquisition and processing module to realize positioning and continuous monitoring of abnormal points. The method can achieve the positioning and continuous monitoring of the abnormal points, and facilitates the guarantee of the normal operation of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network automation intelligent detection, and more specifically, to a distribution network automation intelligent detection system and method. Background Art

[0002] As an important part of the power system, the stability and reliability of the distribution network are of vital importance. With the continuous development of the power system and the advancement of the intelligent process, the monitoring and management requirements for the distribution network are becoming higher and higher. Traditional distribution network detection methods often rely on manual inspections, which are inefficient and difficult to obtain comprehensive and accurate data in real time. At the same time, it is difficult to detect and accurately locate abnormal situations in the distribution network in a timely manner. During the implementation of the present invention, the inventors found that there are at least the following problems or defects in the prior art: manual inspection is inefficient, data cannot be obtained in real time and comprehensively, and abnormal situations are difficult to discover and locate in time. Summary of the invention

[0003] The present invention provides a distribution network automatic intelligent detection system and method.

[0004] In a first aspect of the present invention, a distribution network automation intelligent detection system is provided, comprising: Intelligent sensors, data acquisition and processing modules and distribution network monitoring center; Under the control of the data acquisition and processing module, the intelligent sensor collects data from the distribution network lines and equipment, and sends the collection results to the data acquisition and processing module; The data acquisition and processing module controls the data acquisition of the intelligent sensor according to the control instructions sent by the distribution network monitoring center, and transmits the collection results of the intelligent sensor to the distribution network monitoring center for display and analysis; The distribution network monitoring center will visualize the collected results, search for distribution network anomalies and monitor abnormal points through operation and control of intelligent sensors; The data acquisition and processing module includes a data receiving unit, a data processing unit and a communication network interface; The data receiving unit receives the electrical parameter data sent by the data transmission unit, packages and sends it using the distribution network communication standard protocol, and sub-packs it in a suitable data packet size through the communication network interface to send it to the distribution network monitoring center for electrical parameter display. At the same time, the received data is pre-processed, including data cleaning and format conversion, and the processing results are sent to the intelligent sensor through the data processing unit, and sent to the distribution network monitoring center through the communication network interface to mark the position of the abnormal point in the data. Further, the intelligent sensor includes a sensor probe, an electrical parameter acquisition unit, a data transmission unit and a command receiving unit; The electrical parameter acquisition unit is connected to the sensor probe, and the data transmission unit and the instruction receiving unit are connected to the electrical parameter acquisition unit; The electrical parameter acquisition unit is used to collect electrical parameter data such as voltage, current, power factor, and frequency of distribution network lines and equipment, and transmit the collected data to the data transmission unit; The data transmission unit sends the received collected data to the data collection and processing module via wired or wireless signals; The instruction receiving unit sends the intelligent sensor status information to the data acquisition and processing module through a wired or wireless signal, and receives the control information sent by the data acquisition and processing module; The sensor probe adjusts the angle and position according to the control instruction output by the instruction receiving unit, and changes the collection angle and range of the electrical parameter collection unit. Furthermore, the data transmission unit uses a communication frequency band suitable for the distribution network environment to transmit the collected electrical parameter data to the data acquisition and processing module with a stable bandwidth and transmission rate; The instruction receiving unit uses the corresponding frequency band to exchange signals with the data acquisition and processing module at the set baud rate and communication cycle. Furthermore, the data processing unit receives the intelligent sensor status information sent by the instruction receiving unit, and after being transferred by the data receiving unit, sends it to the distribution network monitoring center at specific time intervals through the communication network interface, and at the same time sends the control information of the distribution network monitoring center and the pre-processing result of the data receiving unit to the intelligent sensor; The communication network interface serves as a communication channel between the data receiving unit and the distribution network monitoring center, sending the data receiving unit data and the intelligent sensor status information received by the data processing unit to the distribution network monitoring center, and at the same time receiving the distribution network monitoring center's control instructions for the intelligent sensor and pre-processing start instructions for the data receiving unit. Furthermore, the distribution network monitoring center includes an operating platform and a network communication module; The network communication module receives the electrical parameter data and intelligent sensor status information from the data acquisition and processing module, and sends the control information of the operating platform to the data acquisition and processing module. Furthermore, the operating platform includes a parameter setting module, an instruction sending module and a data display module. The parameter setting module is used to set detection related parameters, the instruction sending module is used to send control instructions to the data acquisition and processing module, and the data display module is used to display electrical parameter data and intelligent sensor status information. In a second aspect of the present invention, a distribution network automatic intelligent detection method is provided, comprising: Step 1: Before testing, the distribution network monitoring center is initialized to display the distribution network structure, and the distribution network automation intelligent detection system is checked and started; Step 2: The smart sensor starts working and automatically collects data from distribution network lines and equipment. After completion, the data is transmitted to the distribution network monitoring center, which receives and displays the data in real time; Step 3: Command operation search: the distribution network monitoring center obtains the operator's command operation and controls the intelligent sensor and sensor probe to search for abnormal points; Step 4: Exception capture: After the exception point is found, the exception information capture function is implemented through the following detailed logic: For voltage parameters, when the collected voltage value exceeds the normal voltage range (±10% of the rated voltage) and the three-phase voltage imbalance is greater than 2%, the voltage is judged to be abnormal. For current parameters, when the current value exceeds 120% of the rated current of the line or equipment and the three-phase current imbalance is greater than 10%, the current is marked as abnormal.

[0005] For the power factor, if the power factor is lower than 0.9 or higher than 1 (taking into account the measurement error), it is judged that the power factor is abnormal.

[0006] Analyze the change rate of the collected data. If the change rate of voltage, current or power factor exceeds the set threshold (voltage change rate exceeds 5% / minute) within 1 minute, it is judged as abnormal fluctuation; Step 5: Anomaly point monitoring: After the anomaly is intercepted, data analysis and comparison technology are used to achieve stable monitoring of anomalies in a complex distribution network environment, and the monitoring results are transmitted and displayed in real time on the distribution network monitoring center system, while controlling the intelligent sensors to perform targeted data collection. Furthermore, the abnormal point monitoring includes the following steps: a. The data acquisition and processing module runs the abnormal point monitoring algorithm, determines the changing trend of the abnormal situation according to the set parameters and thresholds, and displays the calculated monitoring results and the changes relative to the previous moment; b. Send the updated information to the distribution network monitoring center, and update the display on the real-time data. At the same time, transmit the calculated changes to the smart sensor, which makes corresponding data collection adjustments according to the instructions; c. Repeat the above steps a and b until the distribution network monitoring center issues a "stop monitoring" command and sends it to the smart sensor end. After receiving the command signal, the smart sensor enters the "normal working" state and completes the abnormal point monitoring.

[0007] Further, the instruction operation search includes the following steps: a. Select the "Search" function on the distribution network monitoring center operation platform. The distribution network monitoring center sends a search command to the smart sensor, so that the smart sensor is in a normal collection state; b. The operator issues a command, and the distribution network monitoring center records the operator's command information and sends it to the smart sensor, controls the smart sensor to adjust in the corresponding direction and position, controls the sensor probe to adjust at different angles and positions, and searches for abnormal points; c. Repeat steps a and b to present the data related to the searched outliers and complete the outlier search. Furthermore, the exception interception includes the following steps: a. The operator determines the abnormality judgment parameters and thresholds on the distribution network monitoring center system through operation; b. The distribution network monitoring center sends the parameter and threshold information to the data acquisition and processing module through the network communication module. The data acquisition and processing module receives and records the information and transmits the signal through the data processing unit. The intelligent sensor is in an abnormal interception working state; c. The data acquisition and processing module receives the intercepted abnormal point related data as the initial condition for monitoring and prepares for the next round of data processing and analysis. According to the above-mentioned embodiments of the present invention, at least the following beneficial effects are achieved: the system of the present invention can efficiently and accurately collect data on distribution network lines and equipment under the control of the data acquisition and processing module through intelligent sensors, and stably transmit the collected results. The working state of the intelligent sensor can be flexibly adjusted according to the instructions of the distribution network monitoring center to achieve the pertinence and effectiveness of data collection. The collected results can also be visualized so that the operator can intuitively understand the various parameters and operating status of the distribution network. The intelligent sensor can be controlled by the operator to search for distribution network anomalies, and the abnormal information can be obtained by analyzing the collected data to achieve accurate positioning and continuous monitoring of abnormal points, timely discover and handle distribution network faults, and ensure the safe and stable operation of the distribution network. The distribution network structure and the working status of the intelligent sensor can also be displayed to facilitate system management and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which: Figure 1 A schematic diagram of the structure of a distribution network automation intelligent detection system provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of a distribution network automation intelligent detection method provided by an embodiment of the present invention; Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0010] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0011] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0012] Reference below Figure 1 , Figure 1 This is a schematic diagram of the structure of a distribution network automation intelligent detection system provided by an embodiment of the present invention. Figure 1 As shown, a distribution network automation intelligent detection system 100 includes: Intelligent sensor 101, data acquisition and processing module 102 and distribution network monitoring center 103; Under the control of the data acquisition and processing module, the intelligent sensor collects data from the distribution network lines and equipment, and sends the collection results to the data acquisition and processing module; The data acquisition and processing module controls the data acquisition of the intelligent sensor according to the control instructions sent by the distribution network monitoring center, and transmits the collection results of the intelligent sensor to the distribution network monitoring center for display and analysis; The distribution network monitoring center will visualize the collection results, control the intelligent sensors through operators' operations to search for distribution network anomalies, obtain abnormal information through analysis of collected data, and cooperate with the data collection and processing module to realize the positioning and continuous monitoring of abnormal points. The distribution network monitoring center also has the functions of displaying the distribution network structure and the working status of intelligent sensors. It should be noted that this embodiment describes a distribution network automation intelligent detection system, including intelligent sensors, data acquisition and processing modules and distribution network monitoring center. Intelligent sensors are used to collect data from distribution network lines and equipment, the data acquisition and processing module controls the sensors to collect and transmit data, and the distribution network monitoring center displays and analyzes data, and can also control the sensors to search for anomalies and locate and monitor abnormal points, while displaying the distribution network structure and sensor status. Among them, the distribution network refers to the power distribution network.

[0013] Specifically, smart sensors should be arranged according to the characteristics of distribution network lines and equipment to ensure comprehensive data collection. The data acquisition and processing module should be set according to the command format of the distribution network monitoring center and the data format of the sensor to ensure accurate data transmission and processing. The visual display of the distribution network monitoring center should conform to the viewing habits of operators, such as displaying electrical parameters in the form of charts.

[0014] More specifically, when the smart sensor collects data, the collection cycle can be set, such as collecting data every 5 minutes. When the data collection and processing module transmits data, encryption can be used to ensure data security. When searching for anomalies, the distribution network monitoring center can first set a rough range and then gradually narrow the search area.

[0015] In some embodiments, the smart sensor includes a sensor probe, an electrical parameter acquisition unit, a data transmission unit, and a command receiving unit; The electrical parameter acquisition unit is connected to the sensor probe, and the data transmission unit and the instruction receiving unit are connected to the electrical parameter acquisition unit; The electrical parameter acquisition unit is used to collect electrical parameter data such as voltage, current, power factor, and frequency of distribution network lines and equipment, and transmit the collected data to the data transmission unit; The data transmission unit sends the received collected data to the data collection and processing module via wired or wireless signals; The instruction receiving unit sends the intelligent sensor status information to the data acquisition and processing module through a wired or wireless signal, and receives the control information sent by the data acquisition and processing module; The sensor probe adjusts the angle and position according to the control instruction output by the instruction receiving unit, and changes the collection angle and range of the electrical parameter collection unit. It should be noted that the intelligent sensor includes a sensor probe, an electrical parameter acquisition unit, a data transmission unit, and an instruction receiving unit. These components work together to realize the functions of collecting, transmitting, and receiving control instructions for the electrical parameter data of the distribution network lines and equipment. The sensor probe is a physical device that directly contacts or approaches the distribution network equipment and is used to detect electrical parameters; the electrical parameter acquisition unit is responsible for obtaining data from the sensor probe; the data transmission unit is responsible for sending data to the data processing module; and the instruction receiving unit receives control instructions from the data processing module.

[0016] Specifically, the electrical parameter acquisition unit is connected to the sensor probe and is responsible for collecting electrical parameter data such as voltage, current, power factor, frequency, etc. of the distribution network lines and equipment. These data are transmitted to the data transmission unit, which sends the data to the data acquisition and processing module through wired or wireless signals. The instruction receiving unit is responsible for sending the status information of the intelligent sensor to the data processing module and receiving control information from the data processing module to adjust the angle and position of the sensor probe and change the acquisition angle and range of the electrical parameter acquisition unit.

[0017] Preferably, the sensor probe can automatically adjust its angle and position according to the control command output by the command receiving unit to adapt to different monitoring environments and requirements. For example, the sensor probe can be designed to be rotatable and retractable so as to accurately collect data at different monitoring points. The electrical parameter acquisition unit can set different sampling rates to adapt to different data update frequency requirements. The data transmission unit can select a communication frequency band suitable for the distribution network environment to ensure the stability and efficiency of data transmission. The command receiving unit can be designed to support multiple communication protocols to be compatible with different data processing modules.

[0018] In some embodiments, the data transmission unit uses a communication frequency band suitable for the distribution network environment to transmit the collected electrical parameter data to the data acquisition and processing module with a stable bandwidth and transmission rate; The instruction receiving unit uses the corresponding frequency band to exchange signals with the data acquisition and processing module at the set baud rate and communication cycle. It should be noted that this embodiment describes the communication characteristics of the data transmission unit and the command receiving unit in the distribution network environment. The data transmission unit is responsible for stably transmitting the collected electrical parameter data to the data acquisition and processing module, while the command receiving unit is responsible for signal interaction with the data processing module and receiving control information. The communication frequency band here refers to the frequency range of radio wave transmission, and the baud rate refers to the rate of signal transmission, that is, the number of signals transmitted per unit time.

[0019] Specifically, the data transmission unit uses a communication frequency band suitable for the distribution network environment, which means that it is necessary to select a frequency band with less interference and good transmission effect in the distribution network environment. At the same time, in order to ensure the stability and efficiency of data transmission, it is necessary to set a suitable bandwidth and transmission rate. The instruction receiving unit uses the corresponding frequency band to interact with the data processing module at the set baud rate and communication cycle to ensure timely reception and execution of instructions.

[0020] Preferably, the data transmission unit can select different communication technologies according to the characteristics of the distribution network environment, such as ZigBee, LoRa or 4G / 5G network, etc., to adapt to different transmission distances and data volumes. The baud rate can be adjusted according to the data volume and real-time requirements to ensure the efficiency and reliability of data transmission. The communication cycle can also be optimized according to the real-time requirements of the system to reduce communication delays. For example, when the amount of data is large or the real-time requirements are high, the communication cycle can be shortened and the frequency of data transmission can be increased. Conversely, when the amount of data is small or the real-time requirements are not high, the communication cycle can be extended to reduce the occupation of communication resources. In addition, the instruction receiving unit can also be designed to support multiple communication protocols to improve the compatibility and flexibility of the system.

[0021] In some embodiments, the data acquisition and processing module includes a data receiving unit, a data processing unit, and a communication network interface; The data receiving unit receives the electrical parameter data sent by the data transmission unit, packages and sends it using the distribution network communication standard protocol, and sends it to the distribution network monitoring center through the communication network interface in a suitable data packet size for electrical parameter display. At the same time, the received data is pre-processed, including data cleaning and format conversion, and the processing results are sent to the intelligent sensor through the data processing unit, and sent to the distribution network monitoring center through the communication network interface to mark the position of the abnormal point in the data; The data processing unit receives the intelligent sensor status information sent by the instruction receiving unit, and after being transferred by the data receiving unit, sends it to the distribution network monitoring center at specific time intervals through the communication network interface, and at the same time sends the control information of the distribution network monitoring center and the pre-processing result of the data receiving unit to the intelligent sensor; The communication network interface serves as a communication channel between the data receiving unit and the distribution network monitoring center, sending the data receiving unit data and the intelligent sensor status information received by the data processing unit to the distribution network monitoring center, and at the same time receiving the distribution network monitoring center's control instructions for the intelligent sensor and pre-processing start instructions for the data receiving unit. It should be noted that this embodiment describes the specific composition and functions of the data acquisition and processing module. The module includes a data receiving unit, a data processing unit and a communication network interface. The data receiving unit is responsible for receiving data from the intelligent sensor; the data processing unit is responsible for further processing of the data, including data cleaning, format conversion, etc.; the communication network interface is the channel for data exchange between the data receiving unit and the distribution network monitoring center. The communication network interface here refers to the hardware and software interface that connects the data acquisition and processing module with the external network.

[0022] Specifically, the data receiving unit receives the electrical parameter data sent by the smart sensor through the data transmission unit, packages it according to the distribution network communication standard protocol, and then sends it to the distribution network monitoring center through the communication network interface in a suitable data packet size. At the same time, the data receiving unit is also responsible for preprocessing the received data, such as data cleaning and format conversion, and sending the processing results to the data processing unit. The data processing unit receives the smart sensor status information from the instruction receiving unit, and sends it to the distribution network monitoring center through the communication network interface at specific time intervals. At the same time, the control information of the distribution network monitoring center and the preprocessing results of the data receiving unit are sent to the smart sensor.

[0023] Preferably, the data receiving unit can set different data receiving buffer sizes to adapt to the reception requirements of different data volumes. The data processing unit can adopt a variety of data processing algorithms, such as filtering, Fourier transform, etc., to improve the accuracy and efficiency of data processing. The communication network interface can support a variety of communication protocols, such as TCP / IP, MQTT, etc., to ensure compatibility with different monitoring centers.

[0024] Furthermore, the data processing unit can also set the time interval for data transmission to balance real-time performance and network load. For example, when the data changes little, the transmission interval can be appropriately extended to reduce network traffic; when the data changes dramatically, the transmission interval can be shortened to ensure that the monitoring center can obtain the latest data in a timely manner. The communication network interface can also be designed to support dynamic adjustment of the data packet size to adapt to different network conditions and data transmission requirements.

[0025] In some embodiments, the distribution network monitoring center includes an operating platform and a network communication module; The network communication module receives the electrical parameter data and intelligent sensor status information from the data acquisition and processing module, and sends the control information of the operating platform to the data acquisition and processing module. It should be noted that the distribution network monitoring center includes an operating platform and a network communication module. The operating platform is the user interface of the monitoring center, allowing operators to set parameters, send instructions and view data displays. The network communication module is a bridge for data exchange between the operating platform and the data acquisition and processing module. It is responsible for receiving electrical parameter data and intelligent sensor status information from the data acquisition and processing module, and sending the control information of the operating platform to the data acquisition and processing module. The network communication module here refers to the hardware and software components that implement network data transmission.

[0026] Specifically, the operating platform allows operators to configure detection parameters through the parameter setting module, send control instructions to the data acquisition and processing module through the instruction sending module, and view electrical parameter data and status information of intelligent sensors through the data display module. The network communication module is responsible for transmitting data and instructions between the operating platform and the data acquisition and processing module to ensure the real-time and accuracy of information.

[0027] Preferably, the operating platform can be designed as a graphical user interface (GUI) to provide an intuitive operating interface, allowing operators to easily set parameters and send instructions. The network communication module can use high-speed Ethernet or wireless LAN technology to support high data transmission rate and low latency.

[0028] Furthermore, the parameter setting module of the operating platform can provide a variety of preset parameter templates to adapt to different monitoring scenarios. The instruction sending module can support batch instruction sending to improve operation efficiency. The data display module can update data in real time and provide historical data query function to facilitate operators to perform trend analysis. The network communication module can also implement data encryption and security authentication to protect the security of data transmission.

[0029] In some embodiments, the operating platform includes a parameter setting module, an instruction sending module and a data display module. The parameter setting module is used to set detection related parameters, the instruction sending module is used to send control instructions to the data acquisition and processing module, and the data display module is used to display electrical parameter data and intelligent sensor status information. It should be noted that the operating platform includes a parameter setting module, an instruction sending module and a data display module. These modules are the core components of the operating platform and are used to realize the specific operation and monitoring of the distribution network automation intelligent detection system. The parameter setting module is used to configure the operating parameters of the detection system, the instruction sending module is used to send control instructions to the data acquisition and processing module, and the data display module is used to display the electrical parameter data and status information collected from the intelligent sensor.

[0030] Specifically, the parameter setting module allows the operator to adjust the parameters of the detection system according to needs, such as acquisition frequency, data transmission interval, etc. The instruction sending module allows the operator to send specific control instructions to the data acquisition and processing module according to the system status or specific needs to adjust the working status of the smart sensor or perform specific detection tasks. The data display module is responsible for displaying the data collected by the smart sensor to the operator in the form of graphics or tables for real-time monitoring and analysis.

[0031] Preferably, the parameter setting module can provide a user-friendly interface, allowing operators to configure system parameters by simple clicks and inputs. The instruction sending module can support multiple instruction types, including but not limited to start / stop acquisition, adjust acquisition parameters, execute specific diagnostic procedures, etc. The data display module can be designed to be dynamically updated to reflect the status of the smart sensor and the collected data in real time.

[0032] Furthermore, the module can also provide historical trend analysis of data, as well as abnormal alarm functions, so that operators can respond quickly to potential problems. In order to improve the flexibility and scalability of the system, the operating platform can also be designed to support plug-ins or modular design, allowing new functional modules to be added according to future technological developments or user needs.

[0033] The above-mentioned embodiments of the present invention have the following beneficial effects: the distribution network automation intelligent detection system described in the present invention can collect distribution network line and equipment data through intelligent sensors, and transmit them to the monitoring center for display and analysis through the data acquisition and processing module, so as to achieve efficient data processing and abnormal point positioning monitoring, and ensure the safety of the distribution network. The intelligent sensor can adjust the angle position, and the data transmission and instruction receiving unit can stably and efficiently transmit interactive information. The electrical parameter acquisition unit can comprehensively and accurately collect data, the data acquisition and processing module can effectively process and transmit data, the monitoring center can transmit information bidirectionally and facilitate operation and management, and each module can work together to improve the system applicability and operation efficiency.

[0034] like Figure 2 As shown, some embodiments provide a distribution network automatic intelligent detection method, the method comprising: Step 1: Before testing, the distribution network monitoring center is initialized to display the distribution network structure, and the distribution network automation intelligent detection system is checked and started; Step 2: The smart sensor starts working and automatically collects data from distribution network lines and equipment. After completion, the data is transmitted to the distribution network monitoring center, which receives and displays the data in real time; Step 3: Command operation search: the distribution network monitoring center obtains the operator's command operation and controls the intelligent sensor and sensor probe to search for abnormal points; Step 4: Exception capture: After the exception point is found, the exception information capture function is implemented through the following detailed logic: For voltage parameters, when the collected voltage value exceeds the normal voltage range (±10% of the rated voltage) and the three-phase voltage imbalance is greater than 2%, the voltage is judged to be abnormal. For current parameters, when the current value exceeds 120% of the rated current of the line or equipment and the three-phase current imbalance is greater than 10%, the current is marked as abnormal.

[0035] For the power factor, if the power factor is lower than 0.9 or higher than 1 (taking into account the measurement error), it is judged that the power factor is abnormal.

[0036] Analyze the change rate of the collected data. If the change rate of voltage, current or power factor exceeds the set threshold (voltage change rate exceeds 5% / minute) within 1 minute, it is judged as abnormal fluctuation; Step 5: Anomaly point monitoring: After the anomaly is intercepted, data analysis and comparison technology are used to achieve stable monitoring of anomalies in a complex distribution network environment, and the monitoring results are transmitted and displayed in real time on the distribution network monitoring center system, while controlling the intelligent sensors to perform targeted data collection. It is understandable that the steps described in the distribution network automatic intelligent detection method 200 are similar to those described in the reference Figure 1 Therefore, the modules, features and beneficial effects described above for the distribution network automation intelligent detection system are also applicable to the distribution network automation intelligent detection method 200 and the operations contained therein, and will not be repeated here.

[0037] In some embodiments, the instruction operation search includes the following steps: a. Select the "Search" function on the distribution network monitoring center operation platform. The distribution network monitoring center sends a search command to the smart sensor, so that the smart sensor is in a normal collection state; b. The operator issues a command, and the distribution network monitoring center records the operator's command information and sends it to the smart sensor, controls the smart sensor to adjust in the corresponding direction and position, controls the sensor probe to adjust at different angles and positions, and searches for abnormal points; c. Repeat steps a and b to present the data related to the searched outliers and complete the outlier search. It should be noted that the operation steps involved in the command operation search include selecting the search function on the distribution network monitoring center operation platform, sending the search command to the smart sensor, and the operator issuing the command operation to control the smart sensor to adjust in the corresponding direction and position to search for abnormal points. The search function here refers to a specific mode started on the monitoring center interface to guide the smart sensor to search for abnormal detection.

[0038] Specifically, after the operator selects the search function on the operating platform of the distribution network monitoring center, the monitoring center will send a search command to the smart sensor, so that the smart sensor enters the normal collection state. Subsequently, the operator issues specific command operations, and the monitoring center records these command information and sends it to the smart sensor, controlling the smart sensor to adjust in the corresponding direction and position so that the sensor probe can search for abnormal points at different angles and positions.

[0039] Preferably, the search function of the operating platform can be designed as an intuitive interface, allowing the operator to select a specific search area or parameters through a graphical interface or command line input. The instructions received by the smart sensor can include the specific location of the search, the parameters of the angle adjustment, the depth and duration of the search, etc.

[0040] Furthermore, the smart sensor can automatically adjust the position and angle of its probe according to the operator's instructions to cover a wider search area. To improve search efficiency, the system can also implement intelligent path planning, allowing the smart sensor to search along an optimized path, reducing duplication of work and improving coverage. Alternatives include using preset search modes, or automatically determining the search area based on historical data to reduce the operator's workload and improve the automation of the search.

[0041] In some embodiments, exception interception includes the following steps: a. The operator determines the abnormality judgment parameters and thresholds on the distribution network monitoring center system through operation; b. The distribution network monitoring center sends the parameter and threshold information to the data acquisition and processing module through the network communication module. The data acquisition and processing module receives and records the information and transmits the signal through the data processing unit. The intelligent sensor is in an abnormal interception working state; c. The data acquisition and processing module receives the intercepted abnormal point related data as the initial condition for monitoring and prepares for the next round of data processing and analysis. It should be noted that the operation steps involved in abnormal interception include the operator determining the abnormal judgment parameters and thresholds on the distribution network monitoring center system, the distribution network monitoring center sending these parameters and threshold information to the data acquisition and processing module, and the data acquisition and processing module receiving and recording information, transmitting the signal through the data processing unit, so that the intelligent sensor is in an abnormal interception working state. The abnormal judgment parameters and thresholds here refer to the specific values ​​and conditions used to identify and judge abnormal conditions in the distribution network.

[0042] Specifically, the operator sets specific parameters and thresholds on the distribution network monitoring center system to determine whether electrical parameters such as voltage, current, and power factor are abnormal. These parameters and thresholds may include the normal range of voltage, the rated value of current, the normal range of power factor, etc. After the setting is completed, the distribution network monitoring center sends these parameter and threshold information to the data acquisition and processing module through the network communication module, which receives and records this information, and transmits the signal to the smart sensor through the data processing unit, so that the smart sensor can intercept abnormalities based on these parameters and thresholds.

[0043] Preferably, the operator can set the abnormal judgment parameters and thresholds through a user-friendly interface, which can provide controls such as input boxes, sliders or drop-down menus to facilitate the operator to make precise settings. The data acquisition and processing module can be designed to support real-time update of parameters and thresholds to adapt to changes in the distribution network environment. Smart sensors can automatically adjust their acquisition strategies based on the received parameters and thresholds, such as increasing the acquisition frequency of specific parameters or performing more intensive monitoring of specific areas.

[0044] Furthermore, the system can also provide a history record and statistical analysis function of anomaly interception to help operators evaluate the effect of anomaly interception and optimize the setting of parameters and thresholds accordingly. An alternative solution may be to use machine learning algorithms to adaptively adjust parameters and thresholds to improve the accuracy and efficiency of anomaly interception.

[0045] In some embodiments, abnormal point monitoring includes the following steps: a. The data acquisition and processing module runs the abnormal point monitoring algorithm, determines the changing trend of the abnormal situation according to the set parameters and thresholds, including the aggravation of the abnormal degree and the expansion of the abnormal range, and displays the calculated monitoring results and the changes relative to the previous moment; b. The data acquisition and processing module sends the updated information to the distribution network monitoring center through the network communication module, and the update is displayed on the real-time data. At the same time, the calculated changes are transmitted to the smart sensor through the data processing unit. The smart sensor makes corresponding data acquisition adjustments according to the instructions; c. Repeat steps a and b until the distribution network monitoring center issues a "stop monitoring" command, which is sent to the smart sensor end through the data processing unit. After receiving the command signal, the smart sensor enters the "normal working" state and completes the abnormal point monitoring.

[0046] It should be noted that the operation steps involved in abnormal point monitoring include running the abnormal point monitoring algorithm in the data acquisition and processing module, judging the changing trend of abnormal conditions according to the set parameters and thresholds, and sending the updated information to the distribution network monitoring center through the network communication module, updating the display on the real-time data, and controlling the intelligent sensor to make corresponding data collection adjustments. The abnormal point monitoring algorithm here refers to a series of calculation methods and logic used to analyze and identify abnormal points in the distribution network.

[0047] Specifically, the data acquisition and processing module will execute the preset abnormal point monitoring algorithms, which can analyze the data collected from the intelligent sensors and judge the changing trend of abnormal conditions based on the set parameters and thresholds, such as the aggravation of the abnormal degree or the expansion of the abnormal range. These parameters and thresholds may include the abnormal range of voltage and current, the abnormal interval of power factor, and the threshold of the rate of change. The monitoring results and the changes relative to the previous moment will be calculated and transmitted to the distribution network monitoring center in real time through the network communication module so that operators can understand the status of the distribution network in a timely manner.

[0048] Preferably, the data acquisition and processing module can be designed to support a variety of abnormal point monitoring algorithms to adapt to different monitoring requirements and environmental conditions. These algorithms can include statistical analysis, pattern recognition, machine learning and other methods. The setting of parameters and thresholds can be optimized based on historical data and expert experience to improve the accuracy and response speed of monitoring.

[0049] Furthermore, the system can also provide a user interface that allows operators to adjust parameters and thresholds according to actual conditions to achieve more flexible monitoring. Smart sensors can automatically adjust the frequency and range of their data collection according to the instructions of the data acquisition and processing module to more accurately monitor abnormal points. Alternative solutions include using wireless sensor networks to enhance the coverage of data collection, or using cloud computing resources to process large-scale data to improve the capacity and efficiency of data processing.

[0050] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0051] like Figure 3As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0052] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0053] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0054] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A distribution network automatic intelligent detection system, characterized in that: include: Intelligent sensors, data acquisition and processing modules and distribution network monitoring center; Under the control of the data acquisition and processing module, the intelligent sensor collects data from the distribution network lines and equipment, and sends the collection results to the data acquisition and processing module; The data acquisition and processing module controls the data acquisition of the intelligent sensor according to the control instructions sent by the distribution network monitoring center, and transmits the collection results of the intelligent sensor to the distribution network monitoring center for display and analysis; The distribution network monitoring center will visualize the collected results, search for distribution network anomalies and monitor abnormal points through operation and control of intelligent sensors; The data acquisition and processing module includes a data receiving unit, a data processing unit and a communication network interface; The data receiving unit receives the electrical parameter data sent by the data transmission unit, packages and sends it using the distribution network communication standard protocol, and sub-packs it in a suitable data packet size through the communication network interface to send it to the distribution network monitoring center for electrical parameter display. At the same time, the received data is pre-processed, including data cleaning and format conversion, and the processing results are sent to the intelligent sensor through the data processing unit, and sent to the distribution network monitoring center through the communication network interface to mark the position of the abnormal point in the data.

2. The detection system according to claim 1, characterized in that: The intelligent sensor includes a sensor probe, an electrical parameter acquisition unit, a data transmission unit and a command receiving unit; The electrical parameter acquisition unit is connected to the sensor probe, and the data transmission unit and the instruction receiving unit are connected to the electrical parameter acquisition unit; The electrical parameter acquisition unit is used to collect electrical parameter data such as voltage, current, power factor, and frequency of distribution network lines and equipment, and transmit the collected data to the data transmission unit; The data transmission unit sends the received collected data to the data collection and processing module via wired or wireless signals; The instruction receiving unit sends the intelligent sensor status information to the data acquisition and processing module through a wired or wireless signal, and receives the control information sent by the data acquisition and processing module; The sensor probe adjusts the angle and position according to the control instruction output by the instruction receiving unit, and changes the collection angle and range of the electrical parameter collection unit.

3. The detection system according to claim 2, characterized in that: The data transmission unit uses a communication frequency band suitable for the distribution network environment to transmit the collected electrical parameter data to the data acquisition and processing module with a stable bandwidth and transmission rate; The instruction receiving unit uses the corresponding frequency band to exchange signals with the data acquisition and processing module at the set baud rate and communication cycle.

4. The detection system according to claim 1, characterized in that: The data processing unit receives the intelligent sensor status information sent by the instruction receiving unit, and after being transferred by the data receiving unit, sends it to the distribution network monitoring center at specific time intervals through the communication network interface, and at the same time sends the control information of the distribution network monitoring center and the pre-processing result of the data receiving unit to the intelligent sensor; The communication network interface serves as a communication channel between the data receiving unit and the distribution network monitoring center, sending the data receiving unit data and the intelligent sensor status information received by the data processing unit to the distribution network monitoring center, and at the same time receiving the distribution network monitoring center's control instructions for the intelligent sensor and pre-processing start instructions for the data receiving unit.

5. The detection system according to claim 1, characterized in that: The distribution network monitoring center includes an operating platform and a network communication module; The network communication module receives the electrical parameter data and intelligent sensor status information from the data acquisition and processing module, and sends the control information of the operating platform to the data acquisition and processing module.

6. The detection system according to claim 5, characterized in that: The operating platform includes a parameter setting module, an instruction sending module and a data display module. The parameter setting module is used to set detection related parameters, the instruction sending module is used to send control instructions to the data acquisition and processing module, and the data display module is used to display electrical parameter data and intelligent sensor status information.

7. A distribution network automatic intelligent detection method, characterized in that: The following steps are involved: Step 1: Before testing, the distribution network monitoring center is initialized to display the distribution network structure, and the distribution network automation intelligent detection system is checked and started; Step 2: The smart sensor starts working and automatically collects data from distribution network lines and equipment. After completion, the data is transmitted to the distribution network monitoring center, which receives and displays the data in real time; Step 3: Command operation search: the distribution network monitoring center obtains the operator's command operation and controls the intelligent sensor and sensor probe to search for abnormal points; Step 4: Exception capture: After the exception point is found, the exception information capture function is implemented through the following detailed logic: For voltage parameters, when the collected voltage value exceeds ±10% of the rated voltage and the three-phase voltage unbalance is greater than 2%, the voltage is judged to be abnormal; For current parameters, when the current value exceeds 120% of the rated current of the line or equipment and the three-phase current imbalance is greater than 10%, the current is marked as abnormal; For power factor, if the power factor is lower than 0.9 or higher than 1, it is judged that the power factor is abnormal; Analyze the change rate of collected data. If the change rate of voltage, current or power factor exceeds the set threshold within 1 minute, it is judged as abnormal fluctuation; Step 5: Anomaly point monitoring: After the anomaly is intercepted, data analysis and comparison technology are used to achieve stable monitoring of anomalies in a complex distribution network environment, and the monitoring results are transmitted and displayed in real time on the distribution network monitoring center system, while controlling the intelligent sensors to perform targeted data collection.

8. The detection method according to claim 7, characterized in that: The abnormal point monitoring comprises the following steps: a. The data acquisition and processing module runs the abnormal point monitoring algorithm, determines the changing trend of the abnormal situation according to the set parameters and thresholds, and displays the calculated monitoring results and the changes relative to the previous moment; b. Send the updated information to the distribution network monitoring center, and update the display on the real-time data. At the same time, transmit the calculated changes to the smart sensor, which makes corresponding data collection adjustments according to the instructions; c. Repeat the above steps a and b until the distribution network monitoring center issues a "stop monitoring" command and sends it to the smart sensor end. After receiving the command signal, the smart sensor enters the "normal working" state and completes the abnormal point monitoring.

9. The detection method according to claim 7, characterized in that: The command operation search includes the following steps: a. Select the "Search" function on the distribution network monitoring center operation platform. The distribution network monitoring center sends a search command to the smart sensor, so that the smart sensor is in a normal collection state; b. The operator issues a command, and the distribution network monitoring center records the operator's command information and sends it to the smart sensor, controls the smart sensor to adjust in the corresponding direction and position, controls the sensor probe to adjust at different angles and positions, and searches for abnormal points; c. Repeat steps a and b to present the data related to the searched outliers and complete the outlier search.

10. The detection method according to claim 7, characterized in that: Exception interception includes the following steps: a. The operator determines the abnormality judgment parameters and thresholds on the distribution network monitoring center system through operation; b. The distribution network monitoring center sends the parameter and threshold information to the data acquisition and processing module through the network communication module. The data acquisition and processing module receives and records the information and transmits the signal through the data processing unit. The intelligent sensor is in an abnormal interception working state; c. The data acquisition and processing module receives the intercepted abnormal point related data as the initial condition for monitoring and prepares for the next round of data processing and analysis.

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