Detection system for intelligently analyzing state of distribution line

Abstract

The invention relates to the technical field of distribution line state detection, in particular to a detection system for intelligently analyzing the state of a distribution line, which comprises a thermal imaging detection module, a current monitoring module, an identification module, a video monitoring module, a photographing recording module, a watermark adding module, a data analysis report module and a remote communication control module. The thermal imaging detection module is used for infrared acquisition and image processing; the current monitoring module is used for Rogowski coil detection and data analysis and transmission; the identification module is used for fault feature extraction and fault diagnosis. The detection system for intelligently analyzing the state of the distribution line has the advantages of real-time monitoring, automatic processing, intelligent diagnosis, remote monitoring and control, video monitoring and photographing recording, watermark adding, report generation and the like, the efficiency and accuracy of state detection of the distribution line can be remarkably improved, the operation and maintenance cost is reduced, and the system is suitable for popularization and application. And safe and stable operation of a power system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution line status detection, and specifically provides a detection system for intelligently analyzing the status of distribution lines. Background Art

[0002] The status of distribution lines includes temperature status, which reflects the operating temperature of the line and equipment. Overheating is a common precursor to line failures. The current status reflects the magnitude of the current in the line. Abnormal currents (such as overcurrent and leakage) may indicate line faults. The appearance status observes the appearance of the line and equipment through video monitoring, such as whether there are damages, deformations, etc. The connection status checks whether the contacts at the line joints, connectors, etc. are good, and whether there are looseness or corrosion phenomena.

[0003] Generally, traditional distribution line status detection technologies involve on-site inspections of distribution lines by operation and maintenance personnel regularly or irregularly. The line status is checked through visual inspection, manual touch, etc. Instruments such as infrared thermometers and clamp meters are used to measure parameters such as temperature and current of the line, and the detection results are recorded on paper or in spreadsheets. Subsequent data analysis is carried out to judge the line status. However, manual inspections and instrument detections are time-consuming and laborious, and are greatly affected by factors such as weather and environment. Manually recording data is prone to errors, and instrument measurements may be limited by factors such as operation skills and instrument accuracy. It is impossible to monitor the line status in real time, difficult to detect and handle faults in a timely manner, unable to automatically analyze data and diagnose faults, and rely on manual experience for judgment.

[0004] Based on this, the present invention provides a detection system for intelligently analyzing the status of distribution lines to solve the above-mentioned technical problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a detection system for intelligently analyzing the status of distribution lines to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: A detection system for intelligently analyzing the status of distribution lines includes a thermal imaging detection module, a current monitoring module, an identification module, a video monitoring module, a photographing and recording module, a watermark adding module, a data analysis and reporting module, and a remote communication and control module; The thermal imaging detection module is used for infrared acquisition and image processing; The current monitoring module is used for Rogowski coil detection and data analysis and transmission; The identification module is used for fault feature extraction and fault diagnosis; The video monitoring module is used for camera access and real-time display control; The photographing and recording module is used for photographing triggering and photo processing and saving; The watermark addition module is used for watermark loading and watermark synthesis; The data analysis and reporting module is used for data preprocessing and report generation; The remote communication control module is used to provide communication protocols and send control instructions.

[0007] Preferably, the thermal imaging detection module further includes an infrared acquisition unit and an image processing unit; The infrared acquisition unit receives the infrared radiation generated by an object through an integrated infrared thermal imaging probe, and uses a preamplifier circuit to convert the acquired signal into a temperature dot matrix of 256x192, covering the range of -20 to 400 degrees Celsius, for realizing the real-time temperature monitoring function of the power distribution line and equipment; The image processing unit uses specific image processing algorithms to analyze and chromatically match the temperature dot matrix data, generate an infrared thermodynamics image, and display it in real time on a tablet computer, for intuitively displaying the line temperature distribution and quickly locating overheating fault points.

[0008] Preferably, the current monitoring module further includes a Rogowski coil detection unit and a data analysis and transmission unit; The Rogowski coil detection unit externally connects a detachable Rogowski coil to detect the real-time current of the wire to be measured, converts the current signal into a voltage signal, and is collected by the ADC channel of the STM32 chip, for realizing non-contact accurate measurement of the current; The data analysis and transmission unit performs a ratio calculation on the acquired voltage signal to obtain the actual current value, and transmits the data to the cloud platform through a 4G module to realize remote monitoring, for real-time monitoring of current changes and warning of leakage abnormal conditions.

[0009] Preferably, the recognition module further includes a fault feature extraction unit and a diagnosis unit; The fault feature extraction unit uses deep learning algorithms to extract features from thermal imaging images and current data, and identify overheating and leakage fault features, for improving the accuracy and efficiency of fault recognition; The diagnosis unit diagnoses the fault based on the extracted features, using a classification algorithm, and outputs information on the fault type, location, and severity, for realizing automatic diagnosis of the fault and reducing manual intervention.

[0010] Preferably, the video monitoring module further includes a camera access unit and a real-time display control unit; The camera access unit introduces a Hikvision camera, connects to the Android APP through the SDK, and obtains the on-site video picture of the power distribution line in real time, for realizing the video monitoring function of the on-site environment; The real-time display control unit uses the Websocket protocol to achieve real-time display of video images, and provides camera control functions, including focal length adjustment and photographing, to improve the real-time performance and flexibility of monitoring.

[0011] Preferably, the photographing and recording module further includes a photographing trigger unit and a photo processing and saving unit; The photographing trigger unit uses the Android system CameraAPI to implement the photographing function, and triggers photographing when the user clicks the photographing button or meets a preset condition, for recording on-site abnormal situations or key information; The photo processing and saving unit performs format conversion and compression processing on the taken photos, and saves the processed photos locally or uploads them to the server, to ensure the quality and storage efficiency of the photos.

[0012] Preferably, the watermark adding module further includes a watermark loading unit and a watermark synthesizing unit; The watermark loading unit creates a Bitmap object to load a preset watermark image, and calculates the watermark position according to the photo size and watermark size, for realizing automatic loading and positioning of the watermark; The watermark synthesizing unit uses a Canvas object to superimpose the watermark image on the taken photo, generates a new photo with the watermark, and saves or uploads it, to protect the copyright of the photo and prevent illegal use.

[0013] Preferably, the data analysis and reporting module further includes a data preprocessing unit and a report generating unit; The data preprocessing unit performs cleaning and denoising preprocessing operations on the collected temperature and current data, improves the data quality and analysis accuracy, and provides a reliable data basis for subsequent analysis; The report generating unit automatically generates a detailed detection report according to the analysis results. The report includes information such as fault type, location, severity, and recommended measures, to provide intuitive fault analysis and processing guidance for maintenance personnel.

[0014] Preferably, the remote communication and control module further includes a communication protocol unit and a control instruction sending unit; The communication protocol unit uses 4G and Wi-Fi communication technologies to achieve remote communication between the cloud platform and on-site devices, supports multiple communication protocols, and ensures the stability and reliability of data transmission, for realizing remote monitoring and control functions; The control instruction sending unit sends control instructions to on-site devices according to the analysis results or user instructions, including adjusting the focal length of the camera and starting the alarm device, to improve the automation level and response speed of the system.

[0015] Compared with the prior art, the beneficial effects of the present invention are: The present invention realizes the real-time monitoring of line temperature and current through an infrared acquisition unit, a Rogowski coil detection unit, etc., discovers abnormalities in a timely manner, automatically processes and analyzes the collected data, generates infrared thermodynamic images, current change curves, etc., improves the efficiency and accuracy of data processing, extracts and diagnoses fault characteristics using deep learning algorithms, classification algorithms, etc., outputs information on the fault type, location, and severity, realizes the automatic identification of faults, and realizes remote monitoring and control through communication technologies such as 4G and Wi-Fi. Maintenance personnel can understand the line status anytime and anywhere, send control instructions to adjust device parameters or activate alarm devices. Combining with a video monitoring module and a photo recording module, it realizes the real-time monitoring of the line appearance and the recording of abnormal situations, provides an intuitive basis for fault analysis, adds watermarks to photos to protect copyright, and automatically generates a detailed detection report for easy access and fault handling by maintenance personnel.

[0016] In summary, the detection system for intelligently analyzing the status of distribution lines of the present invention has the advantages of real-time monitoring, automatic processing, intelligent diagnosis, remote monitoring and control, video monitoring and photo recording, and watermark addition and report generation, etc. It can significantly improve the efficiency and accuracy of distribution line status detection, reduce operation and maintenance costs, and ensure the safe and stable operation of the power system. Brief Description of the Drawings

[0017] Figure 1 is the topology diagram of the detection system for intelligently analyzing the status of distribution lines of the present invention; Figure 2 is the flowchart of the detection method for intelligently analyzing the status of distribution lines of the present invention. Detailed Embodiments

[0018] Next, in combination with the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention. Embodiment

[0019] Please refer to Figure 1 , the present invention proposes a detection system for intelligently analyzing the status of distribution lines, including a thermal imaging detection module, a current monitoring module, an identification module, a video monitoring module, a photo recording module, a watermark addition module, a data analysis and reporting module, and a remote communication and control module; Among them, it should be noted that the thermal imaging detection module is used for infrared acquisition and image processing, the current monitoring module is used for Rogowski coil detection and data analysis and transmission, the recognition module is used for fault feature extraction and fault diagnosis, the video monitoring module is used for camera access and real-time display control, the photo recording module is used for photo triggering and photo processing and saving, the watermark adding module is used for watermark loading and watermark synthesis, the data analysis and reporting module is used for data preprocessing and report generation, and the remote communication control module is used for providing communication protocols and sending control instructions; In this embodiment, it should also be noted that the thermal imaging detection module further includes an infrared acquisition unit and an image processing unit; Furthermore, the infrared acquisition unit receives the infrared radiation generated by the object through an integrated infrared thermal imaging probe, and uses a preamplification circuit to convert the acquired signal into a temperature lattice of 256x192, covering the range of -20 to 400 degrees Celsius, for realizing the real-time temperature monitoring function of the power distribution line and equipment; Furthermore, the image processing unit uses a specific image processing algorithm to analyze and chromaticity match the temperature lattice data, generates an infrared thermodynamics image, and displays it in real time on a tablet computer, for intuitively displaying the line temperature distribution and quickly locating the overheating fault point; In this embodiment, it should also be noted that the current monitoring module further includes a Rogowski coil detection unit and a data analysis and transmission unit; Furthermore, the Rogowski coil detection unit externally connects a detachable Rogowski coil to detect the real-time current of the wire to be measured, converts the current signal into a voltage signal, and is collected by the ADC channel of the STM32 chip, for realizing non-contact accurate measurement of the current; Furthermore, the data analysis and transmission unit performs a turns ratio calculation on the acquired voltage signal, obtains the actual current value, and transmits the data to the cloud platform through a 4G module to realize remote monitoring, for real-time monitoring of current changes and warning of leakage abnormalities; In this embodiment, it should also be noted that the recognition module further includes a fault feature extraction unit and a diagnosis unit; Furthermore, the fault feature extraction unit uses a deep learning algorithm to extract features from the thermal imaging image and current data, and recognizes overheating and leakage fault features, for improving the accuracy and efficiency of fault recognition; Furthermore, the diagnosis unit diagnoses the fault based on the extracted features, using a classification algorithm, and outputs information on the fault type, location, and severity, for realizing automatic diagnosis of the fault and reducing manual intervention; In this embodiment, it should also be noted that the video monitoring module further includes a camera access unit and a real-time display control unit; Further, the camera access unit introduces Hikvision cameras and realizes the connection of the Android APP through the SDK to obtain the on-site video images of the power distribution lines in real time, which is used to implement the video monitoring function of the on-site environment; Further, the real-time display control unit uses the Websocket protocol to realize the real-time display of video images and provides camera control functions, including focal length adjustment and taking pictures, which is used to improve the real-time performance and flexibility of monitoring; In this embodiment, it should also be noted that the photo-taking record module further includes a photo-taking trigger unit and a photo processing and saving unit; Further, the photo-taking trigger unit uses the Android system CameraAPI to implement the photo-taking function, which is triggered when the user clicks the photo-taking button or meets the preset conditions, and is used to record on-site abnormal situations or key information; Further, the photo processing and saving unit performs format conversion and compression processing on the taken photos, and saves the processed photos locally or uploads them to the server, which is used to ensure the quality and storage efficiency of the photos; In this embodiment, it should also be noted that the watermark addition module further includes a watermark loading unit and a watermark synthesis unit; Further, the watermark loading unit creates a Bitmap object to load the preset watermark image, and calculates the watermark position according to the photo size and the watermark size, which is used to realize the automatic loading and positioning of the watermark; Further, the watermark synthesis unit uses the Canvas object to overlay the watermark image on the taken photo to generate a new photo with a watermark, and saves or uploads it, which is used to protect the copyright of the photo and prevent illegal use; In this embodiment, it should also be noted that the data analysis and report module further includes a data preprocessing unit and a report generation unit; Further, the data preprocessing unit performs cleaning and denoising preprocessing operations on the collected temperature and current data to improve the data quality and analysis accuracy, which is used to provide a reliable data basis for subsequent analysis; Further, the report generation unit automatically generates a detailed detection report according to the analysis results. The report includes information such as fault type, location, severity, and recommended measures, which is used to provide intuitive fault analysis and processing guidance for maintenance personnel; In this embodiment, it should also be noted that the remote communication control module further includes a communication protocol unit and a control instruction sending unit; Further, the communication protocol unit uses 4G and Wi-Fi communication technologies to realize the remote communication between the cloud platform and on-site devices, supports multiple communication protocols, and ensures the stability and reliability of data transmission, which is used to realize the remote monitoring and control functions; Further, the control instruction sending unit sends control instructions to the field devices according to the analysis results or user instructions, including adjusting the camera focus and activating the alarm device, so as to improve the automation level and response speed of the system; Embodiment

[0020] Please refer to Figure 2 , in practical applications, based on the above method for the detection system of intelligently analyzing the state of the power distribution line, specifically, it includes the following steps; S1. System initialization and data acquisition; (1) When the system starts, each module performs self-check and initialization settings; (1.1) The thermal imaging detection module starts the infrared acquisition unit, performs device calibration, and prepares to receive infrared radiation signals; (1.2) The current monitoring module connects to the Rogowski coil, checks the coil connection status, and prepares to perform current detection; (1.3) The video monitoring module accesses the camera, tests the video connection stability, and establishes a real-time video stream; S2. Real-time monitoring and data processing; (1) Thermal imaging monitoring; (1.1) The infrared acquisition unit receives the infrared radiation of the object, and through photoelectric conversion and ADC sampling, it is converted into temperature dot matrix data; (1.2) The image processing unit performs interpolation and filtering processing on the temperature dot matrix data, generates an infrared thermodynamic image, and displays it in real time through the GUI interface; (2) Current monitoring; (2.1) The Rogowski coil detection unit induces the real-time current of the wire through the Rogowski coil, and the generated voltage signal is amplified, filtered, and then subjected to ADC sampling; (2.2) The data analysis and transmission unit performs linear transformation or ratio calculation by look-up table method on the sampled voltage signal to obtain the actual current value, and uploads it to the cloud platform through 4G / Wi-Fi communication; (3) Video monitoring; (3.1) The camera access unit obtains the on-site video image of the power distribution line in real time through the RTSP or SDK protocol; (3.2) The real-time display control unit pushes the video image to the client through the Websocket protocol, and provides camera control functions such as focal length adjustment and direction control; S3. Fault feature extraction and diagnosis; (1) Fault feature extraction; (1.1) The system uses the deep learning algorithm of convolutional neural network (CNN) to extract features from the thermal imaging image and identify the abnormal temperature area in the image; (1.2) Perform time-domain analysis and frequency-domain analysis on the current data, extract the characteristics of the current waveform, and identify the characteristics of overheating and leakage faults; (2) Fault diagnosis; (2.1) Based on the extracted features, the system uses the support vector machine (SVM) and random forest classification algorithms for fault diagnosis to determine the fault type; (2.2) According to the fault characteristics and classification results, output the fault type, location (by image positioning or current measurement point positioning), and severity information; S4. Photo taking record and watermark adding; (1) Photo taking record; (1.1) When the user clicks the photo taking button or the system detects a preset condition (such as abnormal temperature, current mutation), trigger the photo taking function; (1.2) Convert and compress the taken photo into JPEG format, and save it to local storage or upload it to the cloud server according to the settings; (2) Watermark adding; (2.1) Load the preset watermark image (such as company logo, timestamp), and calculate the watermark position according to the photo resolution and watermark size; (2.2) Use an image processing library (such as OpenCV) to overlay the watermark image on the taken photo, generate a new photo with the watermark, and save or upload it; S5. Generation of data analysis report; (1) Data preprocessing; (1.1) Perform outlier detection, missing value filling and cleaning on the collected temperature and current data; (1.2) Improve the data quality and analysis accuracy through filtering and smoothing denoising; (2) Report generation; (2.1) Automatically generate a detailed detection report based on the preprocessed data and fault diagnosis results, including fault overview, data analysis charts, fault type and location, and severity assessment; (2.2) The report is output in PDF or HTML format, containing information on recommended measures for fault handling, which is convenient for maintenance personnel to consult and process; S6. Remote communication and control; (1) Communication protocol; (1.1) Use 4G and Wi-Fi communication technologies to achieve remote communication between the cloud platform and on-site devices, supporting TCP / IP and MQTT communication protocols; (1.2) Ensure the encryption and integrity of data transmission, and ensure the stability and reliability of data transmission through heartbeat packets and retransmission mechanisms; (2) Sending of control instructions; (2.1) Send control instructions to on-site devices through the cloud platform according to the analysis results or user instructions; (2.2) The control instructions include adjusting the focal length and direction of the camera and activating the alarm device, which are transmitted to the device through the remote communication protocol to achieve the automatic control and rapid response of the system.

[0021] Through the above steps, the present invention realizes the real-time monitoring of line temperature and current through the infrared acquisition unit, Rogowski coil detection unit, etc., discovers abnormalities in a timely manner, automatically processes and analyzes the collected data, generates infrared thermodynamic images, current change curves, etc., improves the efficiency and accuracy of data processing, extracts and diagnoses fault characteristics using deep learning algorithms, classification algorithms, etc., outputs fault type, location, and severity information, realizes the automatic identification of faults, and realizes remote monitoring and control through communication technologies such as 4G and Wi-Fi. Maintenance personnel can understand the line status anytime and anywhere, send control instructions to adjust device parameters or activate the alarm device, combine the video monitoring module and the photo recording module to realize the real-time monitoring of the line appearance and the recording of abnormal situations, provide an intuitive basis for fault analysis, add watermarks to the photos to protect copyright, and automatically generate a detailed detection report for the convenience of maintenance personnel to consult and handle faults.

[0022] In summary, the detection system for intelligently analyzing the status of distribution lines of the present invention has the advantages of real-time monitoring, automatic processing, intelligent diagnosis, remote monitoring and control, video monitoring and photo recording, as well as watermark addition and report generation, etc., can significantly improve the efficiency and accuracy of distribution line status detection, reduce operation and maintenance costs, and ensure the safe and stable operation of the power system.

[0023] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0024] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A detection system for intelligently analyzing the status of distribution lines, characterized in that: It includes thermal imaging detection module, current monitoring module, identification module, video monitoring module, photo recording module, watermark adding module, data analysis and reporting module and remote communication control module; The thermal imaging detection module is used for infrared acquisition and image processing; The current monitoring module is used for Rogowski coil detection and data analysis and transmission; The identification module is used for fault feature extraction and fault diagnosis; The video monitoring module is used for camera access and real-time display control; The photo recording module is used for photo triggering and photo processing and storage; The watermark adding module is used for watermark loading and watermark synthesis; The data analysis and reporting module is used for data preprocessing and report generation; The remote communication control module is used to provide communication protocols and send control instructions.

2. The detection system for intelligently analyzing the status of distribution lines according to claim 1, characterized in that: The thermal imaging detection module also includes an infrared acquisition unit and an image processing unit; The infrared acquisition unit receives infrared radiation generated by an object through an integrated infrared thermal imaging probe, and uses a budget amplifier circuit to convert the acquired signal into a 256x192 temperature dot matrix, covering a range of -20 to 400 degrees Celsius; The image processing unit uses a specific image processing algorithm to analyze and match the temperature dot matrix data, generate an infrared thermodynamic image, and display it in real time on a tablet computer.

3. A detection system for intelligently analyzing the status of distribution lines according to claim 2, characterized in that: The current monitoring module also includes a Rogowski coil detection unit and a data analysis and transmission unit; The Rogowski coil detection unit is externally connected to a detachable Rogowski coil to detect the real-time current of the wire to be tested, and converts the current signal into a voltage signal, which is collected by the ADC channel of the STM32 chip; The data analysis and transmission unit performs transformation ratio calculation on the collected voltage signal to obtain the actual current value, and transmits the data to the cloud platform through the 4G module.

4. A detection system for intelligently analyzing the status of distribution lines according to claim 3, characterized in that: The identification module also includes a fault feature extraction unit and a diagnosis unit; The fault feature extraction unit uses a deep learning algorithm to extract features from thermal imaging images and current data to identify overheating and leakage fault features; The diagnosis unit diagnoses the fault using a classification algorithm based on the extracted features, and outputs information on the type, location and severity of the fault, so as to realize automatic diagnosis of the fault.

5. The detection system for intelligently analyzing the status of distribution lines according to claim 4, characterized in that: The video monitoring module also includes a camera access unit and a real-time display control unit; The camera access unit introduces Hikvision cameras, realizes the connection of Android APP through SDK, and obtains the on-site video images of the distribution line in real time; The real-time display control unit adopts the Websocket protocol to realize the real-time display of the video screen and provides camera control functions, including focus adjustment and photo taking.

6. A detection system for intelligently analyzing the status of distribution lines according to claim 5, characterized in that: The photo recording module also includes a photo triggering unit and a photo processing and saving unit; The photo triggering unit uses the Android system Camera API to implement the photo function. When the user clicks the photo button or meets the preset conditions, the photo is triggered to record abnormal conditions or key information on the scene; The photo processing and saving unit performs format conversion and compression processing on the taken photos, and saves the processed photos locally or uploads them to a server.

7. A detection system for intelligently analyzing the state of a distribution line according to claim 6, characterized in that: The watermark adding module also includes a watermark loading unit and a watermark synthesis unit; The watermark loading unit creates a Bitmap object for loading a preset watermark image and calculates the watermark position according to the photo size and the watermark size; The watermark synthesis unit uses a Canvas object to superimpose the watermark image on the photographed photo, generates a new photo with the watermark, and saves or uploads it.

8. The detection system for intelligently analyzing the status of distribution lines according to claim 7, characterized in that: The data analysis report module also includes a data preprocessing unit and a report generating unit; The data preprocessing unit performs cleaning and denoising preprocessing operations on the collected temperature and current data; The report generating unit automatically generates a detailed detection report according to the analysis result, and the report includes information on the fault type, location, severity and recommended measures.

9. A detection system for intelligently analyzing the status of a power distribution line according to claim 8, characterized in that: The remote communication control module also includes a communication protocol unit and a control instruction sending unit; The communication protocol unit uses 4G and Wi-Fi communication technologies to achieve remote communication between the cloud platform and on-site equipment, and supports multiple communication protocols; The control instruction sending unit sends control instructions to the on-site equipment according to the analysis results or user instructions, including adjusting the camera focus and activating the alarm device.

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