Intelligent power distribution monitoring device for transformer area and monitoring method thereof

Abstract

The invention belongs to the technical field of site monitoring, and particularly relates to an intelligent power distribution monitoring device for a transformer area and a monitoring method thereof.The intelligent power distribution monitoring device comprises a case, a front main camera and a rear main camera which are communicated with the interior of the case are rotationally installed on the front side end face of the case through a U-shaped plate, and a rear main camera and a rear camera which are communicated with the interior of the case are installed on the rear side end face of the case in a clamped mode; a lower camera is embedded in one side, close to the front primary and secondary camera, of the bottom end surface of the case; line channel environment and state information is transmitted in real time through 4G wireless communication, ubiquitous power Internet of Things network layer application is achieved, the power transmission line channel environment and state are analyzed in real time and early warned in time by means of a line hidden danger intelligent analysis technology based on situation understanding, and the power transmission line hidden danger intelligent analysis technology is improved. Early warning information is fed back to a line inspector in real time through WeChat and short messages, and hidden dangers are eliminated in time; through the application of the ubiquitous power Internet of Things in power transmission on-line monitoring, a power transmission line efficient visual protection body combining civil air defense, object defense and technical defense is established.

Description

Technical Field

[0001] The present invention belongs to the technical field of site monitoring, and in particular relates to an intelligent power distribution monitoring device and a monitoring method thereof for a substation. Background Art

[0002] Low-voltage distribution station area: It is the main electrical equipment node for the transmission and multiple distribution of electric energy at the end of the power grid, and is also an important part of urban and rural power grids;

[0003] Problems such as external force impacting the distribution area, fuse falling, tree growth, construction machinery contact and transformer oil leakage will not only have a certain impact on the stable operation of equipment in the distribution area, but also affect the complexity and uncertainty of the working environment in the distribution area to a certain extent. In addition, in the low-voltage distribution area, there are problems with external cables and wires at the power terminals. Incorrect or complicated wire connections will inevitably lead to problems such as overheating of wires and electric shock, and even cause fires, further increasing the complexity and uncertainty of the working environment in the distribution area.

[0004] Traditional methods for monitoring distribution substations include: 1. Patrol by safety officers. Due to the interference of factors such as the area of ​​the distribution substation, power safety and complex terrain, it is impossible to accurately judge and timely feedback the on-site information of the distribution substation, especially at night or when visual vision is not possible; 2. UAV monitoring: Timed monitoring itself has information collection limitations, which affects real-time performance. At the same time, when using drones for monitoring, monitoring personnel are restricted by operating habits, techniques and space, and there are inevitably monitoring blind spots, which means that it is impossible to achieve all-round monitoring of the distribution substation; 3. Monitoring by surveillance cameras: Angle and pixels are the basic elements that affect traditional camera monitoring. Model analysis algorithms are important dividing marks for functional cameras, that is, the functional algorithms of cameras in different environments are targeted and inclusive. In addition, the emergence of new things and the transformation of old things will have an impact and influence on the model analysis algorithm (the appearance of things is an important parameter of the model analysis algorithm), that is, errors in the analysis will lead to disorder between the internal equipment of the distribution substation;

[0005] In the face of natural disasters, it is necessary to ensure that on-site information acquisition channels are timely, accurate, and fully coordinated.

[0006] In order to further enhance the ability of substation operators to respond to and handle emergencies, promote the construction of emergency management systems and modernization of emergency capabilities, and ensure the safe operation of low-voltage distribution substation equipment through intelligent operation and maintenance of distribution network substations, there is an urgent need for a targeted substation intelligent distribution monitoring device. Summary of the invention

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent power distribution monitoring device for a substation, a chassis, the chassis is a rectangular hollow structure, the front end face of the chassis is rotatably installed with a front main and auxiliary camera connected to the interior of the chassis through a U-shaped plate, the rear end face of the chassis is card-connected with the rear main and auxiliary camera connected to the interior of the chassis, and the bottom end face of the chassis is embedded with a lower camera near the side of the front main and auxiliary camera.

[0008] Preferably, an audible and visual alarm light is mounted on one side of the top end surface of the chassis.

[0009] Preferably, two ends of the chassis are symmetrically clamped with side panels, and the cross-sectional shape of the side panels is an isosceles trapezoid.

[0010] Preferably, a microphone is symmetrically embedded and installed on the end surface of the side panel of the machine close to the sound and light alarm light.

[0011] Preferably, one of the side panels is symmetrically snap-fitted with an external fixing rod on an end face away from the chassis.

[0012] Preferably, a storage battery is embedded at one end of the chassis, an integrated processing chip is installed at the other end of the chassis via a mounting seat, and a solid-state hard disk is card-mounted at the middle position of the chassis.

[0013] Preferably, the front main and sub-cameras and the rear main and sub-cameras are composed of: a main camera infrared lens and a sub-camera infrared lens, and the main camera infrared lens has a pixel of 16 million and a 120-degree wide-angle high-definition camera, and the sub-camera infrared lens has a pixel of 2 million. In addition, the main and sub-cameras can be adjusted to a positive or negative 45-degree angle. The lower camera is composed of: a single camera infrared lens with a pixel of 2 million and a 170-degree wide-angle lens.

[0014] Preferably, the intelligent power distribution monitoring device for the substation also includes: other modules used in conjunction with the information collection modules mentioned in claims 1-7, such as: tower end storage, GPS positioning, communication module, network transmission and corresponding terminal server or controller modules.

[0015] The intelligent monitoring method of the distribution area can be implemented by using the intelligent distribution monitoring device used in the distribution area. The specific steps are as follows:

[0016] S1: First, three cameras work together to achieve panoramic coverage of cables on both sides, transformers in the substation, and electrical equipment in the substation;

[0017] S2: Then, through various remote maintenance methods such as sound and light alarms and voice intercom, hidden dangers can be intelligently identified, and preventive measures can be taken to ensure safe operation of the equipment. At the same time, through the coordination between different sensors, the equipment status can be monitored in real time to realize intelligent Internet of Things.

[0018] S3: Finally, through customized development of intelligent analysis algorithms, the background separation and modeling image analysis methods are integrated with voiceprint intelligent application analysis to quickly locate the fault point, so as to conduct targeted information collection and monitoring and unmanned multi-directional guarding of the distribution station area.

[0019] The present invention has the following beneficial effects:

[0020] 1. The panoramic monitoring system of the distribution station area in the present invention is a set of audio-visual fusion full-dimensional online monitoring device integrating channel monitoring, infrared temperature measurement, voiceprint alarm and transformer monitoring in the distribution station area; it is designed based on the application scenarios and demand of the distribution station area, and can monitor the cables, transformers and surrounding environment on both sides of the distribution station in all dimensions; at the same time, the intelligent analysis algorithm is customized and developed for special applications in the power industry, and the background separation, modeling image analysis method and voiceprint intelligent application analysis are integrated to quickly locate the fault point, and then realize targeted information collection and monitoring and unmanned multi-directional guarding of the distribution station area.

[0021] 2. The present invention realizes full coverage of the field of view within the low-voltage distribution station area through the coordinated cooperation between the front main and sub-cameras, the rear main and sub-cameras and the bottom camera, that is, to achieve three-eye coordination - panoramic coverage of cables on both sides, transformers in the station area, electrical equipment in the station area and so on.

[0022] 3. The present invention uses a variety of remote maintenance methods such as sound and light alarms and voice intercom to intelligently identify hidden dangers, achieve prior prevention, and ensure the safe operation of equipment; at the same time, through the built-in environmental temperature and humidity sensors and IoT transformer sensors IoT voiceprint sensors, the equipment status is monitored in real time to realize intelligent IoT, thereby achieving in-depth scene application needs.

[0023] 4. The intelligent panoramic monitoring system of the distribution network area in the present invention can monitor the occurrence and development of disasters such as typhoons and floods. In addition, the current water level is monitored in real time through monocular ranging to predict the warning water level and analyze the expected impact; the intelligent panoramic monitoring system of the distribution network area is used to understand the alarm information of the area, accurately grasp the disaster situation, and provide support for command decision-making; the full range of information such as the impact scope, degree and recovery status of the emergency event is displayed in real time, and the damaged station line and power outage users are accurately located;

[0024] 5. Based on GIS, online monitoring and dynamic display of emergency resource information allocation can be realized, and early warning can be achieved, and "panoramic" perception and positioning of emergency resources such as emergency teams, repair vehicles, emergency power generation vehicles, and emergency materials can be achieved; in the daily, early warning, and emergency response stages, information on resource status, allocation actions, disaster recovery, and superposition of external meteorological, transportation, and disaster warning can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a display diagram of the monitoring plane in which the front main and auxiliary cameras, the rear main and auxiliary cameras, and the bottom camera are linked and coordinated in the present invention.

[0026] Figure 2 This is a diagram showing the effect of voiceprint recognition in the present invention.

[0027] Figure 3 It is a three-dimensional display diagram of the overall structure of the present invention.

[0028] Figure 4 The present invention is attached Figure 4 Left view of the structure.

[0029] Figure 5 The present invention is attached Figure 4 Top view of the structure.

[0030] Figure 6 The present invention is attached Figure 4 Bottom view of the structure.

[0031] Figure 7 It is a plane display diagram of the internal structure of the chassis of the present invention.

[0032] Figure 8 It is a flowchart showing the system framework of the present invention.

[0033] Numbers in the figure: 1. Chassis; 2. Front main and auxiliary cameras; 3. Rear main and auxiliary cameras; 4. Bottom camera; 5. Sound and light alarm lights; 6. Side panel; 7. Microphone; 8. External fixing rod; 9. Battery; 10. Integrated processing chip; 11. Solid-state hard disk; 12. Main camera infrared lens; 13. Auxiliary camera infrared lens; 14. Single camera infrared lens. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0035] It should be noted that the terms “vertical”, “horizontal”, “left”, “right” and similar expressions used in this document are only for the purpose of explanation and do not represent the only implementation method.

[0036] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0037] Reference Figure 3 , Figure 4 , Figure 5 , Figure 6 and Figure 7 It can be seen that the intelligent power distribution monitoring device for the substation includes: a chassis 1, the chassis 1 is a rectangular hollow structure, the front end surface of the chassis 1 is rotatably mounted with a front main and auxiliary camera 2 connected to the inside of the chassis 1 through a U-shaped plate, the rear end surface of the chassis 1 is clamped and mounted with a rear main and auxiliary camera 3 connected to the inside of the chassis 1, and the bottom end surface of the chassis 1 is embedded with a lower camera 4 near the front main and auxiliary camera 2;

[0038] Reference Figure 3 and Figure 4 It can be seen that the front main and auxiliary cameras 2 and the rear main and auxiliary cameras 3 are composed of: a main camera infrared lens 12 and an auxiliary camera infrared lens 13, and the main camera infrared lens 12 has a pixel of 16 million and a 120-degree wide-angle high-definition camera, and the auxiliary camera infrared lens 13 has a pixel of 2 million. In addition, the main and auxiliary cameras can be adjusted by a positive and negative 45-degree angle. The lower camera 4 is composed of: a single camera infrared lens 14, with a pixel of 2 million and a 170-degree wide-angle lens;

[0039] An audible and visual alarm lamp 5 is mounted on one side of the top end surface of the chassis 1;

[0040] A microphone 7 is symmetrically embedded and installed on the end surface of the side panel 6 near the sound and light alarm lamp 5;

[0041] A battery 9 is embedded at one end of the chassis 1, an integrated processing chip 10 is installed at the other end of the chassis 1 through a mounting seat, and a solid state hard disk 11 is mounted in the middle of the chassis 1;

[0042] The front main and sub-cameras 2 and the rear main and sub-cameras 3 are both composed of: a main camera infrared lens 12 and a sub-camera infrared lens 13. The main camera infrared lens 12 has a pixel of 16 million and a 120-degree wide-angle high-definition camera. The sub-camera infrared lens 13 has a pixel of 2 million. In addition, the main and sub-cameras can be adjusted at an angle of plus or minus 45 degrees. The lower camera 4 is composed of: a single camera infrared lens 14 with a pixel of 2 million and a 170-degree wide-angle lens.

[0043] Layout distribution benchmark of monitoring preset positions (1000) within the substation area:

[0044] Taking the key monitoring points of the pole tower (pole tower, insulator string and hardware, etc.) as clues, combined display technology is used to quickly achieve a comprehensive grasp of the key monitoring points of the pole tower.

[0045] The main structure of information collection is as follows:

[0046] Front main and auxiliary cameras 2: used for channel monitoring, the main camera has an infrared lens of 121.6 million pixels and a 120° wide-angle HD camera, which is used for HD acquisition during the day; the auxiliary camera has an infrared lens of 132 million pixels, which is used for night monitoring;

[0047] In addition, the maximum image size of the main camera infrared lens 12 is 4640*3488; the maximum image size of the auxiliary camera infrared lens 13 is 1920*1080;

[0048] Video resolution: 1080P / 30 frames;

[0049] Video encoding format: H.265 / H.264; Image JPEG;

[0050] At the same time, the front main and auxiliary cameras 2 both have infrared temperature measurement and laser marking functions, and can be adjusted up and down by plus or minus 45 degrees to meet the monitoring needs of different terrains;

[0051] Rear main and auxiliary cameras 3: used for equipment monitoring in the substation area, real-time monitoring of abnormal phenomena of transformers and hardware, the main camera has an infrared lens of 121.6 million pixels and a 120° wide-angle HD camera, which fully covers the desktop transformer and the surrounding environment, and is used for HD acquisition during the day; the auxiliary camera has an infrared lens of 132 million pixels and is used for night monitoring.

[0052] Downward camera 4: uses a 2-megapixel camera with a 170° wide-angle lens to expand the field of view; supplements the monitoring blind spots of the front main and auxiliary cameras 2 and the rear main and auxiliary cameras 3, and achieves three-eye coordinated monitoring to cover the station area in all directions (the three-eye coordinated monitoring angles of the front main and auxiliary cameras 2, the rear main and auxiliary cameras 3, and the downward camera 4 can be found in the attached Figure 1 ).

[0053] It is hereby explained that the front main and auxiliary cameras 2, the rear main and auxiliary cameras 3 and the bottom camera 4 all have the infrared fill light function, that is, they can realize dual-channel monitoring during the day and at night, and feedback the changes of the information of the station area in real time;

[0054] The remaining characteristic parameters of the host device are as follows:

[0055] Tower storage: EMMC chip + external TF card;

[0056] GPS positioning: support GPS / Beidou fusion positioning;

[0057] Communication module: support 4G LTE communication;

[0058] Network transmission: support all network 2G / 3G / 4G;

[0059] Power supply system: 40W monocrystalline silicon solar panels are used, with a conversion efficiency greater than 17%; 30AH lithium iron phosphate battery 9 is used, 12 snapshots are taken every day under no light conditions, and the sustainable working time is ≥30 days; MPPT charge and discharge controller is used to detect the power generation voltage of the solar panel in real time, and track the maximum voltage and current value (VI), so that the system can charge the battery 9 with maximum power output, thereby improving the utilization rate of solar energy;

[0060] ESD: The test level specified in Chapter 5 of GB / T17626.2-2006 is Level 4;

[0061] EFT: The test level specified in Chapter 5 of GB / T17626.4-2008 is Level 4;

[0062] Surge: The test level specified in Chapter 5 of GB / T17626.5-2008 is Level 4;

[0063] Radio frequency field immunity: The test level specified in Chapter 5 of GB / T17626.3-2006 is Level 3;

[0064] Pulse magnetic field immunity: The test level specified in Chapter 5 of GB / T17626.9-2006 is Level 5;

[0065] Power frequency magnetic field immunity: The test level specified in Table 1 and Table 2 of Chapter 5 of GB / T17626.8-2006 is Level 5;

[0066] Working temperature and humidity: industrial temperature: -40 degrees ~ +85 degrees; relative humidity: 0% RH - 100% RH;

[0067] Anti-freezing: The device is equipped with a battery heating function to adapt to low temperature environments;

[0068] Power consumption: sleep mode (can be woken up by network) ≤ 0.5W;

[0069] Weight: The host weight is less than 3kg;

[0070] The acquisition unit integrates nine auxiliary functions:

[0071] 1. The device supports the audio-visual fusion function. Multiple microphones 7 collect sound synchronously and generate a color contour map of the sound pressure level distribution on a plane through an array signal processing algorithm. The colors correspond to different sound pressure levels. At the same time, the camera is used to synchronously obtain an optical photo of the device under test, and the sound pressure level distribution is superimposed on the photo to obtain a "voiceprint photo".

[0072] The voiceprint risk monitoring method and process are as follows:

[0073] First, the internal voiceprint signal characteristics of the transformer on site are collected through the online voiceprint monitoring sensor, and the on-site optical image and high-frequency sound pressure cloud map are superimposed using Lora communication (see Appendix 1). Figure 2 );

[0074] Next, by observing the depth of the color of the sound pressure cloud map, the location of the sound source can be quickly and accurately located;

[0075] Finally, based on the acoustic fingerprint fault feature extraction and intelligent diagnosis and prediction algorithm model of deep learning technology (unique voiceprint model library: local voiceprint noise reduction processing, enhanced local ultrasonic recognition rate and improved local ultrasonic recognition effect), accurate analysis of the real-time operation status and health status of the equipment can be achieved, and timely warning of defects and accurate status evaluation can be achieved;

[0076] In addition, the device uses an audio acquisition module to achieve full-band coverage, that is, covering the audible sound and ultrasonic frequency bands, to ensure the integrity and effectiveness of audio data acquisition; at the same time, the front-end audio and video are integrated, and the acquisition equipment adopts a highly integrated and modular design; it has the characteristics of small size, high protection level, low power consumption and high reliability;

[0077] Microphone 7: Waterproof and dustproof level: IP66, perfectly ensuring the environmental adaptability of voice collection.

[0078] Second, it supports dual-light fusion and infrared temperature measurement imaging, and realizes an integrated device for all-round video monitoring and real-time online temperature measurement (converting heat energy into electrical signals through infrared radiation and scanning imaging); the device can perform fixed-angle video monitoring of transformers and channels in the substation area (only the position of the device itself does not change, and does not affect the angle adjustment of the front main and auxiliary cameras 2 in the device), and can also perform variable-magnification detailed monitoring of the surrounding environment, hardware, etc. (that is, automatically enlarging the picture according to the predetermined cable direction to patrol the line and collect local detailed video content);

[0079] Dual-light fusion thermal imaging (uncooled vanadium oxide infrared detector: measurement range: -20 degrees -120 degrees (expandable to 600 degrees): accuracy: plus or minus 3% of the range of plus or minus 3 degrees):

[0080] Use infrared and low-light technology to make images in different wavelengths, that is, use certain image processing algorithms to analyze and process multi-band images, and make full use of the useful information in various channels to synthesize images;

[0081] It can show the real-time dynamics of the target; in addition, the infrared light channel can display the temperature measurement results, and display the on-site temperature difference and temperature values ​​in the form of thermal images, avoiding the disadvantages of blurry images taken by a single thermal imaging device or personnel on-site, and then avoiding the need to go to the problem site for re-checking, achieving one-time real-time monitoring, making work more convenient and efficient.

[0082] In this process, the transformer equipment, hardware and environment are measured online through infrared temperature measuring lenses, and abnormal temperature alarms are issued (the sound and light alarm lights 5 are used to warn the outside world), helping the power grid to improve its operation and inspection efficiency.

[0083] 3. It has the function of infrared fill light (using infrared LED lights to convert electrical energy into infrared light energy under a specific voltage. When the light shines on the surface of an object, part of the light is reflected or scattered back to the camera lens. After that, the aforementioned light is continuously sensed by the photosensitive element of the camera lens (such as CMOS or CCD), and finally the light signal is converted into a digital image; since infrared light has the ability to penetrate haze, smoke and light fog, it can provide sufficient lighting to capture clear images even in low light or no light conditions), realizing night fill light and ensuring 24-hour uninterrupted monitoring.

[0084] 4. Support real-time video monitoring of the substation area, real-time judgment of the current position status and drop position status of the fuse, real-time monitoring of transformer oil leakage, real-time APP push of abnormal status, and real-time monitoring video upload of abnormal status.

[0085] 5. Channel changes can be monitored:

[0086] For example:

[0087] a. Changes in the terrain near the houses, construction sites, super-high trees, heavy machinery construction and tower bases near the line;

[0088] b. Monitor whether the bank protection, slope protection and drainage ditch are intact;

[0089] C. Whether the signs and warning signs are intact;

[0090] d. Whether the tower materials are lost or corroded;

[0091] e. Whether there are any foreign objects on the tower;

[0092] f. Whether the anti-vibration hammer falls off or slips;

[0093] g. Whether the spacer rod is tilted or slipped, and the change of the ground wire discharge gap;

[0094] h. Whether the insulator is broken and whether the insulator string is tilted;

[0095] i. Check whether the hardware parts are corroded and deformed;

[0096] j. There are people stealing or intentionally destroying power facilities near the poles and towers.

[0097] 6. Front-end intelligent identification & warning, intelligent identification of security risks:

[0098] Foreign object hanging detection: With the function of detecting objects hanging on the wire, when foreign objects such as kites and plastics are hung on the wire, the system will automatically alarm (by pushing alarm information and alarm pictures to mobile clients and instant messaging software (QQ or WeChat, etc.));

[0099] Identification of hazardous objects: Intelligent detection of large construction machinery intruding into the line protection area. When large machinery intrudes into the line protection area, the system automatically monitors and issues an alarm. In addition, the front-end device has the function of intelligently identifying dangerous vehicles such as cranes and cement pump trucks, and when it detects abnormal operation of the device, it issues an alarm and uploads the alarm and fault diagnosis information.

[0100] Foreign object intrusion detection: Intelligent detection of vehicles and personnel entering the tower base protection area.

[0101] Hereby explain:

[0102] Front-end intelligent recognition principle: Customized intelligent analysis algorithms are developed for special applications in the power industry, which are integrated with background separation, modeling image analysis methods and voiceprint intelligent application analysis (specific implementation: data can be collected through CMOS sensors, transmitted to ARM chips for analysis and processing, and calculated through AI dedicated processors with heterogeneous architectures. After analysis, the data is reported to the monitoring platform according to the situation) to quickly locate the fault point, and then realize targeted information collection and monitoring of the distribution station area and unmanned multi-directional guarding.

[0103] 7. Built-in rich extension functions:

[0104] It supports standard RS485 and 433MHz equipment access for expanding on-site equipment (such as tower tilt and micro-meteorological station, etc.). It can synchronously transmit the collected data to the background and overlay it on the video image in real time.

[0105] 8. Equipment health status management to ensure equipment online rate:

[0106] It has the function of monitoring and managing the operating status of the image monitoring device;

[0107] It has the function of diagnosing device faults and transmitting the diagnostic information to the host computer;

[0108] When the device determines that a recoverable operating anomaly, error or other fault has occurred, it should automatically recover;

[0109] With remote restart function, supports remote power-off restart;

[0110] It has management functions such as automatic floating charging of battery 9, overvoltage protection, undervoltage protection and overcurrent protection, and has the function of automatically adjusting the charging voltage according to temperature changes (in specific implementation: the device can be powered by a +200mAH lithium iron phosphate battery);

[0111] It has the function of power and load classification management; according to the current battery 9 power and power consumption, it cuts off the load according to the importance and adjusts the device working mode;

[0112] It has the function of monitoring the power supply status of the battery 9, battery voltage, charge and discharge status, working temperature, etc., and uploading relevant information;

[0113] It can have its own low power consumption management function. When there is no image (picture) request, it must enter the corresponding low power consumption mode; the working mode is adaptive and automatically switches the working mode according to the power; the real-time duty, snapshot mode and sleep mode are automatically distributed to ensure that it can continue to work with the lowest power;

[0114] It has the function of monitoring and managing wireless data traffic, can set daily traffic limits and prevent traffic waste.

[0115] 9. Built-in industrial-grade solid-state hard drive 11, and has the function of retransmission after network disconnection:

[0116] In case of network instability or disconnection, the timed captured pictures / videos, operating conditions and other data will be temporarily stored on the hard disk. After the network returns to normal, the temporarily stored pictures will be uploaded to the server (specific implementation: the device can be connected to the device private network using the 4G APN private network, and then the security gateway can be connected through the NARI encryption chip and encryption program to establish an encrypted data channel between the device and the gateway, and finally connected to the I1 server to complete the monitoring function).

[0117] Introduction to the functions of the main engine components:

[0118] A. Sensor service process:

[0119] 1. Docking sensor module (XH7600LORAHUB);

[0120] 2. Receive sensor data from the sensor module;

[0121] 3. Filter the uplink data by blacklist and whitelist;

[0122] 4. Decode the uplink data and transmit the decoded data to the MQTT system bus;

[0123] 5. Encode the downlink control command of the MQTT system bus and send it to the sensor module;

[0124] 6. Sensor module version and firmware upgrade function.

[0125] B. Video AI analysis and algorithm service process:

[0126] 1. The algorithm service receives the configuration information of the MQTT internal bus and confirms the specific AI model parameters to be processed;

[0127] 2. The algorithm service obtains the RTMP or RTSP video stream from the media server, decodes it and sends it to the AI ​​computing unit for calculation;

[0128] 3. If a detection target appears, the algorithm service needs to capture the image and overlay the OSD function;

[0129] 4. Return the calculation results to the MQTT internal data bus.

[0130] Host workflow:

[0131] Startup and Diagnostics:

[0132] Device startup process:

[0133] Run: Start the power management module of the device;

[0134] Diagnosis: Check whether the battery status is normal;

[0135] Run: Start the main processor and communication coprocessor;

[0136] Diagnosis: Check whether the communication between the main processor and the coprocessor is normal;

[0137] Diagnosis: Check whether the main processor is working normally;

[0138] Run: Register LTE network;

[0139] Diagnosis: Check that the network registration is normal;

[0140] Operation: Synchronize time via LTE, GPS, and platform;

[0141] Diagnosis: Check whether the time is normal;

[0142] Diagnosis: Check whether the channel camera is normal;

[0143] Diagnosis: Check whether the PTZ camera is normal;

[0144] Run: Start the device capture thread and start the scheduled capture task;

[0145] Run: Start the device communication thread and start the platform registration and image upload tasks;

[0146] Run: Start the AI ​​recognition thread, start the AI ​​heterogeneous processor, and start the AI ​​task;

[0147] Run: Start the background monitoring thread to monitor the device running status;

[0148] The device startup is complete.

[0149] Communication online:

[0150] Device communication online process:

[0151] The communication task is started;

[0152] Pull local device ID, server, port and other communication configurations;

[0153] Start the VPN connection program and connect to the power-specific security gateway;

[0154] Wait for the gateway link to complete;

[0155] Start the device client and start the registration attempt;

[0156] Wait for the platform to respond;

[0157] Registration successful.

[0158] Device heartbeat and image upload process

[0159] Send heartbeats to the platform regularly;

[0160] Receive the platform's heartbeat response and check whether there are any pictures that need to be re-uploaded; re-upload the pictures captured by the device at regular intervals;

[0161] Transfer complete.

[0162] Device video streaming preview process

[0163] The platform sends a video streaming preview request

[0164] Parse the address and start video streaming.

[0165] Turn on the streaming timer to avoid wasting traffic by streaming for a long time.

[0166] Wait for the platform to shut down the streaming or the timer to time out, then shut down the streaming.

[0167] Capture and recognition:

[0168] Timed snapshot:

[0169] The scheduled snapshot task starts;

[0170] Pull equipment to capture the timetable;

[0171] Check whether there is a scheduled snapshot task at the current time;

[0172] Check if the camera is idle, if so wait;

[0173] Read the preset position, if the preset position is valid, start the PTZ;

[0174] Go to the specified preset position;

[0175] Wait for the gimbal and focus to stabilize;

[0176] Start capturing;

[0177] Check whether the captured image is normal, if not, try again;

[0178] After the picture is captured, it is compressed into JPEG and stored in the TF card; check whether AI recognition is required, and if so, add it to the AI ​​recognition task queue; send a signal to the communication thread and wait for the next heartbeat to upload the picture.

[0179] Remote capture of the platform

[0180] Remote snapshot request;

[0181] Check if the camera is idle, if so wait;

[0182] Read the preset position, if the preset position is valid, start the PTZ;

[0183] Go to the specified preset position;

[0184] Wait for the gimbal and focus to stabilize;

[0185] Start capturing;

[0186] Check whether the captured image is normal, if not, try again;

[0187] After the picture is captured, it is compressed by JPEG encoding and stored in the TF card;

[0188] Check whether AI recognition is required. If necessary, add it to the AI ​​recognition task queue; send a signal to the communication thread and wait for the next heartbeat to upload the image.

[0189] AI recognition tasks

[0190] AI mission started;

[0191] Start the heterogeneous AI acceleration module;

[0192] Load the model;

[0193] Establish an AI recognition task queue and wait for image input;

[0194] When an AI recognition task appears, run AI recognition;

[0195] Analyze AI recognition results and assess the risk level of the target;

[0196] According to the risk level, report to the platform or perform corresponding tasks, such as sound and light alarm. Power consumption management:

[0197] The device has a total of 4 levels of power management, which can be put into sleep mode by timer:

[0198] Working mode 1: full speed operation mode;

[0199] Working mode 2: collaborative operation mode;

[0200] Working mode 3: low speed operation mode;

[0201] Working mode 4: sleep mode;

[0202] Full speed operation mode:

[0203] The device will activate the gimbal, all cameras, and all sensors, and keep them running at high speed.

[0204] Entry conditions:

[0205] 1. Remotely call the camera to push the stream;

[0206] 2. Remotely call the camera to capture photos;

[0207] 3. Timing capture of PTZ camera.

[0208] Exit conditions:

[0209] Timeout Exit

[0210] Collaborative operation mode:

[0211] The device will start the channel camera and briefly start the AI ​​computing module to set up a short-term timing snapshot function.

[0212] Entry conditions:

[0213] 1. Timed snapshot

[0214] Exit conditions:

[0215] 1. Capture completed

[0216] Timeout Exit

[0217] Low speed operation mode:

[0218] The device turns off all cameras and only starts the communication module to set up images and simple interactions on the device.

[0219] Entry conditions:

[0220] 1. There are pictures waiting to be uploaded;

[0221] 2. The platform is offline, waiting to be online;

[0222] 3. Platform remote configuration parameters.

[0223] Exit conditions:

[0224] 1. All pictures have been transferred;

[0225] 2. The command execution is completed;

[0226] 3. Exit due to timeout.

[0227] Sleep Mode:

[0228] The device turns off all unnecessary peripherals and enters sleep mode.

[0229] Entry conditions:

[0230] 1. The device has no snapshot task and no video task;

[0231] 2. The device has no upload tasks and the platform is online.

[0232] Reference Figure 3 and Figure 7 It can be seen that the two ends of the chassis 1 are symmetrically clamped with the side panels 6, and the cross-sectional shape of the side panels 6 is an isosceles trapezoid; the end surface of one of the side panels 6 away from the chassis 1 is symmetrically clamped with an external fixing rod 8; the other end of the chassis 1 is installed with an integrated processing chip 10 through a mounting seat;

[0233] Machine side panel 6: used to protect important components of the host, such as: front main and auxiliary cameras 2, rear main and auxiliary cameras 3, bottom camera 4, chassis 1, battery 9, solid state hard disk 11 and integrated processing chip 10;

[0234] External fixed rod 8: a stable connection bridge between the main engine and the tower pole;

[0235] Integrated processing chip 10: the overall control center for AI video analysis and image algorithms;

[0236] Hereby note: The whole machine process working mode can refer to the attached Figure 8 Medium illustration.

[0237] The specific steps of the intelligent power distribution monitoring device and monitoring method for the substation provided by the present invention are as follows: Step 1: First, through the coordinated cooperation of three cameras, a panoramic coverage of the cables on both sides, the substation transformer and the substation electrical equipment is achieved;

[0238] Step 2: Then, through various remote maintenance methods such as sound and light alarms and voice intercom, hidden dangers can be intelligently identified, and preventive measures can be taken to ensure safe operation of the equipment. At the same time, through the coordination between different sensors, the equipment status can be monitored in real time to realize intelligent Internet of Things.

[0239] Step 3: Finally, through customized development of intelligent analysis algorithms, the background separation and modeling image analysis methods are integrated with voiceprint intelligent application analysis to quickly locate the fault point, so as to conduct targeted information collection and monitoring and unmanned multi-directional guarding of the distribution station area.

[0240] The circuits and controls involved in the present invention are all prior art and will not be described in detail here.

[0241] The above are only embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An intelligent power distribution monitoring method for a substation, characterized in that: The specific steps are as follows: S1: First, three cameras work together to achieve panoramic coverage of cables on both sides, transformers in the substation, and electrical equipment in the substation; S2: Then, through various remote maintenance methods such as sound and light alarms and voice intercom, hidden dangers can be intelligently identified, and preventive measures can be taken to ensure safe operation of the equipment. At the same time, through the coordination between different sensors, the equipment status can be monitored in real time to realize intelligent Internet of Things. S3: Finally, through customized development of intelligent analysis algorithms, the background separation, modeling image analysis methods and voiceprint intelligent application analysis are integrated to quickly locate the fault point, so as to carry out targeted information collection and monitoring and unmanned multi-directional guarding of the distribution station area; The intelligent power distribution monitoring method is implemented by an intelligent power distribution monitoring device, which comprises: a chassis (1), the chassis (1) being a rectangular hollow structure, the front end surface of the chassis (1) being rotatably mounted with a front main and auxiliary cameras (2) connected to the interior of the chassis (1) via a U-shaped plate, the rear end surface of the chassis (1) being snap-fitted with a rear main and auxiliary cameras (3) connected to the interior of the chassis (1), and the bottom end surface of the chassis (1) being embedded with a bottom camera (4) close to the front main and auxiliary cameras (2).

2. The intelligent power distribution monitoring device for a substation according to claim 1 is characterized in that: An audible and visual alarm lamp (5) is mounted on one side of the top end surface of the chassis (1).

3. The intelligent power distribution monitoring device for a substation according to claim 2 is characterized in that: The two ends of the chassis (1) are symmetrically clamped with side panels (6), and the cross-sectional shape of the side panels (6) is an isosceles trapezoid.

4. The intelligent power distribution monitoring device for a substation according to claim 3 is characterized in that: A microphone (7) is symmetrically embedded and mounted on the end surface of the side plate (6) close to the sound and light alarm lamp (5).

5. The intelligent power distribution monitoring device for a substation according to claim 4 is characterized in that: An external fixing rod (8) is symmetrically mounted on the end surface of one of the side panels (6) away from the chassis (1).

6. The intelligent power distribution monitoring device for a substation according to claim 5 is characterized in that: A storage battery (9) is embedded in one end of the chassis (1), an integrated processing chip (10) is mounted at the other end of the chassis (1) via a mounting seat, and a solid state hard disk (11) is mounted in a snap-fit ​​manner in the middle of the chassis (1).

7. The intelligent power distribution monitoring device for a substation according to claim 6 is characterized in that: The front main and auxiliary cameras (2) and the rear main and auxiliary cameras (3) are both composed of: a main camera infrared lens (12) and an auxiliary camera infrared lens (13), and the main camera infrared lens (12) has a pixel of 16 million and a 120-degree wide-angle high-definition camera, and the auxiliary camera infrared lens (13) has a pixel of 2 million. In addition, the main and auxiliary cameras can be adjusted to a positive or negative 45-degree angle. The lower camera (4) is composed of: a single camera infrared lens (14) with a pixel of 2 million and a 170-degree wide-angle lens.

8. The intelligent power distribution monitoring device for the substation is characterized by: Also includes: Other modules used in conjunction with the information acquisition modules mentioned in claims 1-7, such as: tower storage, GPS positioning, communication module, network transmission and corresponding terminal server or controller modules.

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