Low-power-consumption multi-parameter intelligent sensing method and device and computer equipment

Abstract

The invention relates to a low-power-consumption multi-parameter intelligent sensing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: adding a measuring and energy-taking gripper module on each lead of a power transmission line, wherein the measuring and energy-taking gripper modules are electrically connected with a multi-parameter intelligent monitoring host; current data, wire temperature data and CT energy-taking voltage data of a power transmission line are acquired by using the measurement energy-taking gripper module and are transmitted to the multi-parameter intelligent monitoring host; processing the power consumption of the power transmission line by using the multi-parameter intelligent monitoring host; a first processor of the multi-parameter intelligent monitoring host is used for carrying out AI identification and multimedia interaction on the power transmission line, and a second processor of the multi-parameter intelligent monitoring host is used for controlling low-power-consumption operation and power management of the multi-parameter intelligent monitoring host. By adopting the method, the performance and efficiency of the monitoring device can be improved, and the stability and reliability of the device are enhanced.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission line power consumption monitoring, and in particular to a low-power multi-parameter intelligent sensing method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] In recent years, my country has attached great importance to digital development and has put forward higher requirements for the application of digital technologies, including intelligent sensors, in the power industry. Relevant technologies point out that the future of the power grid is a transparent power grid, which effectively and comprehensively applies sensor technology, information technology, data communication technology, electronic control technology, artificial intelligence, etc. to the power system, and can achieve transparency in equipment status, operation status, and transaction status.

[0003] At present, the main online monitoring systems use many discrete and single sensors to monitor the operation status of the power system, which cannot achieve effective integration and information sharing at the sensor level, resulting in slow development of technologies such as multi-parameter information fusion sharing and comprehensive diagnosis, and cannot meet the development requirements of smart grids. Multi-integrated sensors use miniaturized integration, multi-physical quantity synchronous detection, full-scale measurement, and on-demand analog / digital format technology solutions to integrate sensitive components, signal conditioning circuits, microprocessors, and communication interface modules, and have the intelligent trend of multiple environmental physical quantity perception and sensor information fusion. The intelligence and informatization of smart grids require the configuration of a large number of sensors and data acquisition modules. How to organically integrate sensors and corresponding data acquisition and transmission systems to form a multi-physical quantity integrated sensor array, and use multi-dimensional information comprehensive analysis technology to perform efficient status analysis and fault diagnosis on equipment is a hot research direction in the current digital grid construction.

[0004] The contradiction between the rapid growth of power grid operation and maintenance line mileage and the relatively insufficient number of power grid operation and maintenance personnel has gradually emerged. With the advancement of smart grid construction and the development of artificial intelligence technology, transmission line inspection has transitioned from traditional "human inspection" to "human inspection + drone inspection". However, the flight capability of drones is limited by weather and battery life. There are also problems such as limited monitoring to images, high technical requirements for operators, short patrol distances, and the influence of no-fly zones. It fails to cover the monitoring needs of transmission lines in an all-round and real-time manner; there is also the problem of how to realize the data fusion of multiple integrated sensors and long-distance transmission back to the server. Therefore, in order to further improve the observability of power grid operation and enhance the information perception capability of transmission lines, it is necessary to study multi-sensor integration technology to realize all-round and multi-angle monitoring of transmission lines. By studying multi-physical quantity integrated sensor technology, massive deployment of integrated sensor elements can be realized; multi-physical quantity integrated sensor distributed self-organizing network data communication technology can be studied to complete the networking communication between multiple multi-physical quantity integrated sensor devices; multi-physical quantity data analysis, feature extraction technology and auxiliary decision-making technology of integrated sensors can be studied, multi-physical quantity data fusion application system can be developed, and dynamic capacity expansion monitoring software modules for transmission lines can be developed to promote the application of artificial intelligence technology in massive monitoring data of transmission lines, solve the actual needs of operation and maintenance of transmission lines, realize high-efficiency and low-latency real-time transmission of measurement data to the server for processing and real-time monitoring of the working status of transmission lines, so as to achieve the goal of automation, informatization and digitization of intelligent monitoring of transmission lines, and ultimately achieve the goal of transparent perception of power grids.

[0005] In order to solve the above problems, the present invention proposes a low-power multi-parameter intelligent sensing method, device, computer equipment, computer-readable storage medium and computer program product, aiming to improve the performance and efficiency of the monitoring device while enhancing the stability and reliability of the device. Summary of the invention

[0006] Based on this, it is necessary to provide a low-power multi-parameter intelligent sensing method, device, computer equipment, computer-readable storage medium and computer program product that can improve the performance and efficiency of the monitoring device while enhancing the stability and reliability of the device in response to the above-mentioned technical problems.

[0007] In a first aspect, the present application provides a low-power multi-parameter intelligent sensing method, comprising:

[0008] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to a multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire;

[0009] The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0010] The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0011] In one embodiment, the first processor is in communication connection with the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time; the specific process of the first processor and the second processor not using the wireless communication module at the same time includes:

[0012] Before the first processor or the second processor applies to use the wireless communication module, determining whether an application mark exists in an application register of the wireless communication module;

[0013] In the absence of the application mark, it indicates that the working state of the wireless communication module is an idle state, and the use of the wireless communication module is permitted.

[0014] In one embodiment, the processing of the power transmission line power consumption by the multi-parameter intelligent monitoring host includes:

[0015] Monitoring the motion data of the wire by means of an accelerometer and a posture sensing unit, wherein the motion data includes vibration data, galloping data, wind deviation data and torsion data;

[0016] Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data;

[0017] When the lateral acceleration exceeds a preset acceleration threshold, a dancing recording function is triggered and the wire dancing amplitude is calculated.

[0018] In one embodiment, the process of calculating the wire galloping amplitude includes:

[0019] Filtering the collected acceleration signal and angular velocity signal;

[0020] Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal;

[0021] Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point;

[0022] In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle;

[0023] According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

[0024] In one embodiment, the processing of the power transmission line power consumption by the multi-parameter intelligent monitoring host includes:

[0025] When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to suspend operation, the wireless communication module and the temperature and humidity sensing unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval;

[0026] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, the first starter module is controlled to suspend work, and the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the wire dancing amplitude, and the wire dancing and sag data are uploaded; and when the power supply is sufficient, the acceleration signal and the angular velocity signal measured by the attitude sensing unit are used to iteratively update the dancing amplitude estimation model in real time;

[0027] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and the alarm data in the image data of the power line is monitored and transmitted.

[0028] In a second aspect, the present application also provides a low-power multi-parameter intelligent sensing device, comprising:

[0029] The measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and both are installed on each conductor of the power transmission line; the power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through the power ground wire;

[0030] The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line, wherein the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0031] The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line, wherein the multi-parameter intelligent monitoring host comprises a first processor and a second processor, and the first processor has an embedded neural network processing unit;

[0032] The first processor is used to perform AI recognition and multimedia interaction on the power transmission line;

[0033] The second processor is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host.

[0034] In one embodiment, a shielded cable containing multiple conductor cores is used to transmit information between the measuring and energy-collecting gripper module and the multi-parameter intelligent monitoring host;

[0035] Among them, at least one conductor core of the shielded cable is used to transmit conductor temperature data, at least one conductor core is used to transmit current data of the transmission line, and at least one conductor core is used to transmit CT energy extraction voltage data.

[0036] In one of the embodiments, the first processor includes a first main control chip, and a posture sensing unit, a battery detection unit, a capacitance detection unit, a CT energy acquisition voltage data detection unit, a temperature and humidity sensing unit, an air pressure sensing unit, an accelerometer and a Beidou unit connected to the first main control chip;

[0037] The second processor includes a second main control chip, and a WIFI module, an embedded multimedia card EMMC, a power chip and a camera unit connected to the second main control chip.

[0038] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to a multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire;

[0040] The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0041] The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0043] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to a multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire;

[0044] The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0045] The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0046] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0047] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to a multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire;

[0048] The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0049] The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0050] The above-mentioned low-power multi-parameter intelligent sensing method, device, computer equipment, computer-readable storage medium and computer program product can collect the current data, conductor temperature data and CT energy extraction voltage data of the transmission line in real time by installing the measuring energy extraction gripper module on each conductor, ensuring the timeliness and accuracy of the monitoring data. The multi-parameter intelligent monitoring host can effectively monitor the power consumption of the transmission line, provide real-time energy consumption analysis, and help optimize the operation of the power grid. The first processor realizes the AI ​​recognition and multimedia interaction functions of the transmission line, can automatically identify potential fault risks, and provide information feedback through multimedia data (such as images and videos), thereby improving the intelligent level of monitoring. The second processor is responsible for controlling the low-power operation and power management of the multi-parameter intelligent monitoring host, and can adjust the working state of the system according to the actual CT energy extraction voltage condition, extend the service life of the equipment and reduce energy consumption. By separating the measuring energy extraction gripper module and the multi-parameter intelligent monitoring host, the maintainability and reliability of the system are improved, which is convenient for troubleshooting and maintenance. In summary, the method improves the intelligence, real-time and energy efficiency management capabilities of transmission line monitoring through a dual-master control architecture and modular design, and has significant technical advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 An application environment diagram of a low-power multi-parameter intelligent sensing method in an embodiment;

[0053] Figure 2 A power transmission line multi-physical quantity integrated sensor which is a low-power multi-parameter intelligent sensing device in one embodiment;

[0054] Figure 3 A standard spacer rod of a low-power multi-parameter intelligent sensing device in one embodiment;

[0055] Figure 4 A schematic diagram of a process flow of a low-power multi-parameter intelligent sensing method in one embodiment;

[0056] Figure 5 A schematic diagram of a process flow of a low-power multi-parameter intelligent sensing method in another embodiment;

[0057] Figure 6 A structural block diagram of a low-power multi-parameter intelligent sensing device in one embodiment;

[0058] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application 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 application and are not used to limit the present application.

[0060] The low-power multi-parameter intelligent sensing method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0061] The server 104 uses the measuring energy acquisition gripper module to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line, and transmits them to the multi-parameter intelligent monitoring host; the multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host.

[0062] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, or a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0063] like Figure 2 As shown, the multi-physical quantity integrated sensor of the transmission line is demonstrated ( Figure 3 The structure is wrapped with a standard spacer rod in the middle), the transmission line multi-physical quantity integrated sensor (multi-split) is a transmission line intelligent housekeeper used for panoramic real-time monitoring and intelligent early warning of overhead transmission lines. It adopts wide-range inductive self-powering technology to ensure continuous and reliable operation of the device, and provides continuous and reliable power supply for the sensor through distributed wide-range inductive power supply modules, realizing real-time online intelligent monitoring of low-load lines, and has the advantages of easy expansion and high reliability.

[0064] like Figure 3As shown in the figure, the standard spacer and multi-split version of the transmission line multi-physical quantity integrated sensor can be directly installed on the 500kV transmission line by integrating with the standard spacer; the double-split and single-conductor version adopts an expandable lightweight integrated design and can be directly installed on the 110 / 220kV transmission line. The measurement and energy acquisition gripper module of the power acquisition measurement is suitable for various types of split conductors. It adopts an independent measurement power acquisition gripper structure and is connected to the multi-parameter intelligent monitoring host through a flexible connection line. It integrates sub-current data, conductor temperature data and CT energy acquisition voltage data, and ensures that the device and the conductor are reliably equipotential. The multi-parameter intelligent monitoring host can modularly integrate visible light / ultraviolet / infrared cameras, environmental temperature and humidity sensor units, air pressure sensor units, accelerometers, attitude sensor units, high-precision positioning Beidou units, etc. The device supports access to the Internet of Things platform, file server, and video server, and has the online fusion perception and abnormal intelligent recognition alarm functions of physical quantities such as conductor temperature / current / sag / dancing, environmental temperature / humidity / air pressure / altitude, channel visible light image / video, ultraviolet / infrared (optional), etc.

[0065] In an exemplary embodiment, Figure 4 As shown, a low-power multi-parameter intelligent sensing method is provided, which can be applied to Figure 1 The server in the example is used to illustrate, including the following steps S402 to S406. Among them:

[0066] Step S402, a measuring energy acquisition gripper module is installed on each conductor of the transmission line, power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through the power ground wire.

[0067] Specifically, by installing a measuring and energy-collecting gripper module on each conductor, distributed monitoring of the transmission line can be achieved. This means that each conductor can independently monitor parameters such as current and temperature, thereby obtaining more comprehensive line status information. The measuring and energy-collecting gripper module is electrically connected to the multi-parameter intelligent monitoring host through an aviation plug. This design provides a highly reliable connection, ensuring the stability and reliability of data transmission, while also being able to resist the impact of harsh outdoor environments.

[0068] The measuring energy grab module uses the principle of electromagnetic induction to generate electrical energy. When current passes through the wire, a magnetic field is generated around it. This module can sense this magnetic field and convert it into electrical energy, thereby forming a power output. In order to ensure that the measuring energy grab module is at the same potential as the wire, conductive rubber and electrical connection methods are used to achieve this. Conductive rubber is a material that can conduct electricity and can be used to connect the module and the wire to ensure that the potential difference between them is zero, so that measurement and energy transmission can be carried out safely. The measuring energy grab module needs to be electrically connected to a central monitoring device, that is, to the multi-parameter intelligent monitoring host. The multi-parameter intelligent monitoring host can collect data from each module and analyze and process it. In order to ensure that the potential difference between the measuring energy grab module and the multi-parameter intelligent monitoring host is also zero, a power ground wire is used to achieve this. The power ground wire is a wire that connects the device to the ground, which can ensure that the potential between the devices is consistent and prevent interference or safety problems caused by the potential difference.

[0069] By adding a measuring energy grab module to each wire, the load of the power-taking structure can be effectively dispersed, avoiding the problem of large size and weight of the single-point power-taking structure, thereby reducing the power consumption of the entire system. The connection between the measuring energy grab module and the multi-parameter intelligent monitoring host supports plug-and-play (hot plug), and the module can be replaced quickly and conveniently during installation and maintenance, improving maintenance efficiency. The measuring energy grab module has a reverse power supply function. When the CT energy voltage is insufficient, the supercapacitor of the multi-parameter intelligent monitoring host can supply power to the measuring energy grab module, ensuring that the measuring energy grab module can still work normally when the CT energy voltage is insufficient.

[0070] Step S404, using the measuring energy acquisition gripper module to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, an analog differential signal is used to transmit the current data to the multi-parameter intelligent monitoring host, and a digital signal is used to transmit the conductor temperature data and the CT energy acquisition voltage data to the multi-parameter intelligent monitoring host.

[0071] Specifically, the measuring and obtaining energy gripper module integrates a variety of sensors and CT energy obtaining voltage devices, and can simultaneously collect key operating parameters of the transmission line, including current data, conductor temperature data, and CT energy obtaining voltage data. Through current acquisition functions such as Rogowski coils, the measuring and obtaining energy gripper module can monitor the current of the conductor. Using NTC temperature measurement and infrared temperature measurement technology, the measuring and obtaining energy gripper module can monitor the temperature of the conductor in real time, which can prevent line failures caused by overheating.

[0072] The measurement and energy acquisition gripper module can use Permalloy as the CT energy acquisition voltage magnetic core to realize the CT energy acquisition voltage function, that is, to inductively acquire power through the wire and collect CT energy acquisition voltage data at the same time to monitor the CT energy acquisition voltage status. The MCU (microcontroller unit) contained in the measurement and energy acquisition gripper module is responsible for processing the collected data, communicating with the multi-parameter intelligent monitoring host, and transmitting the data to the multi-parameter intelligent monitoring host. This transmission method realizes the multiplexing of measurement and CT energy acquisition voltage, and improves the efficiency and reliability of data transmission.

[0073] Among them, the current data is transmitted to the multi-parameter intelligent monitoring host using analog differential signals, which can reduce noise interference during the transmission process and improve the accuracy and stability of the signal. The conductor temperature data and CT energy extraction voltage data are transmitted using digital signals, which means that these data will be converted into digital format before transmission. The advantage is that efficient data processing and analysis can be performed in the multi-parameter intelligent monitoring host, and it is also easy to integrate with other digital systems (such as computer systems).

[0074] The connection between the measuring and energy-collecting gripper module and the multi-parameter intelligent monitoring host supports plug-and-play, which means that the module can be replaced quickly and easily during installation and maintenance, improving the efficiency of maintenance. During data transmission, the system adopts a low-power design to ensure that the energy consumption of the entire monitoring device is minimized, extending the service life of the equipment and reducing operating costs.

[0075] Step S406, using the multi-parameter intelligent monitoring host to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor is embedded with a neural network processing unit.

[0076] Specifically, the multi-parameter intelligent monitoring host is the core of the entire monitoring device. It is responsible for collecting and measuring the current data, conductor temperature data and CT energy voltage data transmitted by the energy acquisition gripper module, and monitoring and managing the power consumption of the transmission line based on these data. This helps to optimize transmission efficiency and reduce energy loss.

[0077] The first processor (main control 1) of the multi-parameter intelligent monitoring host is a low-power embedded intelligent processor with a built-in neural network processing unit, which is responsible for performing more complex tasks, such as end-side artificial intelligence recognition. This means that it can intelligently analyze the operating status of the transmission line, identify possible external damage risks such as wildfires, smoke, cranes, excavators, etc., and provide real-time feedback and alarms through multimedia data interaction (such as photos and videos).

[0078] The second processor (main control 2) of the multi-parameter intelligent monitoring host is a low-power microprocessor that is responsible for controlling the low-power operation and power management of the entire monitoring device. This includes adjusting the working mode of the device under different power supply states to ensure that the optimal energy consumption performance can be maintained under different energy supply conditions. For example, when the energy supply is insufficient, power consumption can be reduced by shutting down non-essential modules, or when the energy is sufficient, more functions can be enabled for more comprehensive monitoring.

[0079] Through the dual master control architecture, the monitoring device can achieve more efficient resource allocation and function management. Master 1 and Master 2 can work together to handle different tasks, while communicating through the RS485 protocol to ensure accurate data transmission and timely execution of instructions.

[0080] In the above-mentioned low-power multi-parameter intelligent sensing method, by installing a measuring energy acquisition gripper module on each conductor, the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line can be collected in real time to ensure the timeliness and accuracy of the monitoring data. The multi-parameter intelligent monitoring host can effectively monitor the power consumption of the transmission line, provide real-time energy consumption analysis, and help optimize the operation of the power grid. The first processor realizes the AI ​​recognition and multimedia interaction functions of the transmission line, can automatically identify potential fault risks, and provide information feedback through multimedia data (such as images and videos) to improve the intelligence level of monitoring. The second processor is responsible for controlling the low-power operation and power management of the multi-parameter intelligent monitoring host, and can adjust the working state of the system according to the actual CT energy acquisition voltage condition, extend the service life of the equipment and reduce energy consumption. By separating the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host, the maintainability and reliability of the system are improved, which is convenient for troubleshooting and maintenance. In summary, this method improves the intelligence, real-time and energy efficiency management capabilities of transmission line monitoring through a dual-master control architecture and modular design, and has significant technical advantages.

[0081] In an exemplary embodiment, the first processor is communicatively connected to the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time.

[0082] Specifically, the first processor communicates with the wireless communication module via USB, and the second processor communicates with the wireless communication module via serial port RS232 or RS485. This serial communication protocol allows the two processors to exchange data and instructions, ensuring that different functions of the monitoring device can work together. Due to the space and energy limitations of the monitoring device, the first processor and the second processor share the same wireless communication module to achieve remote transmission of data. This can avoid each processor being equipped with an independent wireless communication module, thereby saving space and energy consumption.

[0083] In this embodiment, through the communication protocol and the mutual exclusion lock mechanism, the first processor and the second processor can effectively share the wireless communication module to achieve stable data transmission, while avoiding resource conflicts and improving the operating efficiency and reliability of the entire monitoring device.

[0084] In an exemplary embodiment, Figure 5 As shown, the specific process of the first processor and the second processor not using the wireless communication module at the same time includes:

[0085] Step S502, before the first processor or the second processor applies to use the wireless communication module, it is determined whether there is an application mark in the application register of the wireless communication module;

[0086] Step S504: when there is no application mark, it means that the working state of the wireless communication module is idle, and the wireless communication module is allowed to be used.

[0087] Specifically, before the first processor or the second processor needs to use the wireless communication module, it will first check a shared application register, which is used to identify whether the wireless communication module has been applied for.

[0088] The first or second processor checks whether there is an application mark in the application register of the wireless communication module. This mark indicates whether other processors have applied for the right to use the wireless communication module. If there is an application mark in the application register, it means that the wireless communication module is being used by another processor, and the currently requesting processor will not be able to obtain the right to use it and may need to wait or perform other tasks. If there is no application mark in the application register, it means that the wireless communication module is currently in an idle state and is not being used by any processor.

[0089] After confirming that the wireless communication module is in an idle state (ie, there is no application mark in the application register), the current processor will set the application mark in the application register to formally apply for the use of the wireless communication module. This step indicates that the right to use the wireless communication module has been obtained by the current processor.

[0090] Once the application register is marked, the current processor can start the wireless communication module to perform data transmission or other wireless communication tasks. During this process, other processors will not be able to access the wireless communication module until the processor with the current right of use completes the communication task and releases the wireless communication module.

[0091] When the current processor completes the wireless communication task, it will clear the application mark in the application register, release the wireless communication module, and make it idle again, so that it can be applied for by other processors.

[0092] For example, in order to avoid conflicts caused by two processors accessing the wireless communication module at the same time, a 4G / 5G mutual exclusion lock mechanism based on the inter-board RS485 protocol is designed. This mechanism ensures that only one processor can use the wireless communication module at any time. When the first processor (master control 1) needs to use the 4G / 5G module, it will set a bit in the pre-defined 4G / 5G application register. The second processor (master control 2) will poll this application register. If it finds that the value of the 4G / 5G application register is set and the 4G / 5G module is not currently in use, it will set a bit in another 4G / 5G available register, indicating that the 4G / 5G module has been occupied by the first processor. After completing the communication, the first processor will reset the 4G / 5G application register and release the 4G / 5G module for the second processor to use.

[0093] In this embodiment, the first processor and the second processor can orderly share the wireless communication module, thereby avoiding conflicts caused by simultaneous access and ensuring the stability of data transmission and the efficient operation of the monitoring device.

[0094] In an exemplary embodiment, a multi-parameter intelligent monitoring host is used to process power consumption of a power transmission line, including:

[0095] The motion data of the wire is monitored by an accelerometer and an attitude sensing unit, and the motion data includes vibration data, galloping data, wind deviation data and torsion data;

[0096] Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data;

[0097] When the lateral acceleration exceeds the preset acceleration threshold, the dancing recording function is triggered and the wire dancing amplitude is calculated.

[0098] Specifically, accelerometers and attitude sensing units are used to monitor the movement of the wire. These sensors can capture a variety of wire movement data, including vibration, galloping, windage (wire deviation due to wind pressure) and torsion (wire rotation or twisting). From the monitored movement data, the lateral acceleration of the wire is analyzed. The lateral acceleration refers to the acceleration component perpendicular to the wire axis, which is directly related to the galloping phenomenon of the wire.

[0099] Set a lateral acceleration threshold to distinguish between the normal state and the dancing state. When the lateral acceleration exceeds this threshold, the system will consider that the wire has entered the dancing state. Once the detected lateral acceleration exceeds the preset threshold, the system will automatically trigger the dancing recording function. This function will record detailed information about the dancing event, including the start time, duration, intensity, etc. of the dancing. While triggering the dancing recording function, the system will calculate the dancing amplitude of the wire. The dancing amplitude refers to the maximum distance that the wire deviates from its static position during the dancing process, and is an important parameter for evaluating the severity of the dancing.

[0100] In this embodiment, by analyzing the galloping amplitude, it is possible to evaluate the impact of the galloping on the transmission line and whether corresponding measures need to be taken to reduce the galloping or its impact.

[0101] In an exemplary embodiment, the process of calculating the wire galloping amplitude includes:

[0102] Filtering the collected acceleration signal and angular velocity signal;

[0103] Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal;

[0104] Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point;

[0105] In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle;

[0106] According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

[0107] Specifically, the collected acceleration signals and angular velocity signals usually contain noise and interference. The purpose of filtering is to remove these unnecessary high-frequency noises and retain the effective low-frequency signals, making the signals clearer and more accurate. Commonly used filtering methods include low-pass filters, band-pass filters, Kalman filters, etc.

[0108] The filtered acceleration signal and angular velocity signal need to be converted into velocity signal and displacement signal. This step is usually achieved by numerical integration. The acceleration signal is integrated to obtain the velocity signal, and the velocity signal is integrated to obtain the displacement signal. Numerical integration methods include trapezoidal integration, Simpson integration, etc. The galloping of the transmission line is usually periodic, which means that the movement of the conductor repeats at a certain time interval. By analyzing the velocity signal, the periodic characteristics of the galloping can be identified, that is, the points where the conductor velocity is zero, which mark the beginning and end of a galloping cycle.

[0109] In each galloping cycle, a piecewise integration is performed from the velocity zero point to the next velocity zero point to calculate the displacement change in each cycle. This means that in each cycle, starting from the moment when the conductor velocity is zero and ending at the next moment when the velocity is zero, the velocity signal is integrated to obtain the displacement change in the cycle. Based on the displacement change in each cycle, the maximum displacement of each cycle, i.e., the galloping amplitude, can be calculated. The galloping amplitude refers to the maximum distance that the conductor deviates from its static position during the galloping process, and is an important parameter for evaluating the severity of the galloping. In order to obtain an overall galloping amplitude, it is necessary to calculate the average displacement in all galloping cycles. This can be achieved by adding the maximum displacement values ​​of all cycles and dividing by the number of cycles. The calculated average displacement value can be used to evaluate the severity and possible impact of the galloping of the transmission line. If the galloping amplitude exceeds the designed safety threshold, measures may need to be taken to reduce the galloping, such as increasing the tension of the conductor, installing anti-galloping devices, etc.

[0110] In this embodiment, the dancing cycle and the speed zero point are automatically identified, which reduces the workload of manual monitoring and improves the degree of automation of monitoring. The displacement change in each dancing cycle is calculated through precise numerical integration and piecewise integration methods, thereby obtaining an accurate dancing amplitude.

[0111] In an exemplary embodiment, a multi-parameter intelligent monitoring host is used to process power consumption of a power transmission line, including:

[0112] When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to stop working, the wireless communication module and the temperature and humidity sensor unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval;

[0113] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, the first starter module is controlled to suspend work, and the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the wire dancing amplitude, and the wire dancing and sag data are uploaded; and when the power supply is sufficient, the acceleration signal and the angular velocity signal measured by the attitude sensing unit are used to iteratively update the dancing amplitude estimation model in real time;

[0114] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and alarm data in the image data of the power line is monitored and transmitted.

[0115] Specifically, when the CT energy acquisition voltage data collected by the energy acquisition gripper module is less than the first preset voltage threshold (for example, 32V), the ultra-low power consumption mode is entered. At this time, the multi-parameter intelligent monitoring host will control the first processor (main control 1) to suspend work to reduce energy consumption. At the same time, the wireless communication module and the temperature and humidity sensing unit are kept working, and the temperature and humidity data are uploaded once every preset time interval to maintain basic communication with the monitoring platform and environmental monitoring.

[0116] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold (for example, 32~36V). Enter low power consumption mode, at which time the multi-parameter intelligent monitoring host will control the wireless communication module, Beidou unit (RTK) and attitude sensing unit to work. The first processor (main control 1) continues to suspend work, and monitors the conductor galloping and sag data through the attitude sensor and RTK, and sends these data to the monitoring platform through the 4G / 5G module. Among them, by using historical galloping amplitude data to build an estimation model, the accuracy of the prediction of future galloping amplitude can be improved. This model is usually based on statistical analysis, machine learning or deep learning technology, and can learn from historical data and predict future trends. The estimation model can be integrated into the real-time monitoring system. Once a possible galloping risk is predicted, the system can automatically issue an early warning to provide operation and maintenance personnel with sufficient response time to take measures to reduce the potential risk of line failure. Predicting the galloping amplitude can help power companies allocate maintenance resources and schedule maintenance work more reasonably, for example, increasing the frequency of line inspections or deploying emergency response measures in advance during high-risk periods.

[0117] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold (for example, 36V), the system enters the full-function mode, and the multi-parameter intelligent monitoring host controls the first processor (main control 1) to start working and perform local debugging. At the same time, the specified visible light camera module is turned on according to the working mode set by the main control 2 to monitor the image data of the transmission line and identify the alarm data therein, such as wildfires, smoke, etc. After identifying the risk, the alarm information and pictures are uploaded to the monitoring platform through the 4G / 5G module.

[0118] In this embodiment, the multi-parameter intelligent monitoring host can dynamically adjust the working mode according to the CT energy supply voltage condition to achieve the maximum reduction of power consumption while ensuring monitoring efficiency. This intelligent adjustment mechanism enables the monitoring device to adapt to different energy supply conditions, improve its ability to work in the field for a long time, and ensure that detailed monitoring data and alarm information can be provided at critical moments.

[0119] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0120] Based on the same inventive concept, the embodiment of the present application also provides a low-power multi-parameter intelligent sensing device for implementing the low-power multi-parameter intelligent sensing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more low-power multi-parameter intelligent sensing device embodiments provided below can refer to the limitations of the low-power multi-parameter intelligent sensing method above, and will not be repeated here.

[0121] In an exemplary embodiment, Figure 6 As shown, a low-power multi-parameter intelligent sensing device is provided, including: the device includes a measuring energy acquisition gripper module 602 and a multi-parameter intelligent monitoring host 604, the measuring energy acquisition gripper module 602 is electrically connected to the multi-parameter intelligent monitoring host 604, and both are installed on each wire of the transmission line; the power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module 602 and the wire is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module 602 is electrically connected to the multi-parameter intelligent monitoring host 604, and the equipotential between the measuring energy acquisition gripper module 602 and the multi-parameter intelligent monitoring host 604 is achieved through the power ground wire;

[0122] The measuring and energy acquisition gripper module 602 is used to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line, and transmit them to the multi-parameter intelligent monitoring host 604; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host 604 by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host 604 by using a digital signal;

[0123] A multi-parameter intelligent monitoring host 604 is used to process the power consumption of the transmission line, wherein the multi-parameter intelligent monitoring host 604 comprises a first processor 6042 and a second processor 6044, and the first processor 6042 and the second processor 6044 are embedded with a neural network processing unit;

[0124] The first processor 6042 is used to perform AI recognition and multimedia interaction on the power transmission line;

[0125] The second processor 6044 is used to control the low power operation and power management of the multi-parameter intelligent monitoring host 604.

[0126] In an exemplary embodiment, a shielded cable containing multiple conductor cores is used to transmit information between the measuring and energy-taking gripper module 602 and the multi-parameter intelligent monitoring host 604;

[0127] Among them, at least one conductor core of the shielded cable is used to transmit conductor temperature data, at least one conductor core is used to transmit current data of the transmission line, and at least one conductor core is used to transmit CT energy extraction voltage data.

[0128] In an exemplary embodiment, the first processor 6042 includes a first main control chip, and a posture sensing unit, a battery detection unit, a capacitance detection unit, a CT energy acquisition voltage data detection unit, a temperature and humidity sensing unit, an air pressure sensing unit, an accelerometer and a Beidou unit connected to the first main control chip;

[0129] The second processor 6044 includes a second main control chip, and a WIFI module, an embedded multimedia card EMMC, a power chip and a camera unit connected to the second main control chip.

[0130] An embodiment of the present application is:

[0131] The low-power multi-parameter intelligent sensing device is divided into a measurement and energy-collecting gripper module and a multi-parameter intelligent monitoring host. The device can exchange data with an online monitoring platform (hereinafter referred to as the platform).

[0132] The measuring energy acquisition gripper module includes current acquisition function, CT energy acquisition voltage function, wire temperature measurement function, and distributed fault location function. Among them, Rogowski coil is used to realize the current acquisition function, Permalloy is used as the CT energy acquisition voltage core to realize the CT energy acquisition voltage function, and the wire temperature measurement function uses a combination of NTC temperature measurement and infrared temperature measurement. The measuring energy acquisition gripper module includes an MCU, which is responsible for transmitting the wire temperature data collected in the measuring energy acquisition gripper module to the multi-parameter intelligent monitoring host. On the one hand, the device needs to collect the current of each split wire to realize the wire energized state monitoring and support further fault location and other functions; on the other hand, the device integrates a variety of sensing functions and wireless long-distance communication functions, and the system power consumption is large. If a single-wire inductive power supply scheme is adopted, there are problems such as large volume and weight of the power acquisition structure, which causes unbalanced force on several wires. Therefore, this application adopts the installation of a measuring energy acquisition gripper module on each wire. The measuring energy acquisition gripper module is connected to the multi-parameter intelligent monitoring host through an 8-core special aviation connector and a shielded cable, realizing highly reliable CT energy acquisition voltage and communication multiplexing.

[0133] The information transmission between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host uses an 8-core shielded cable, of which 2 cores are responsible for RS485 communication of the wire temperature, 4 cores are responsible for current acquisition, and 2 cores are responsible for the power supply CT energy acquisition voltage, realizing the multiplexing of measurement and CT energy acquisition voltage. It is connected to the multi-parameter intelligent monitoring host through a special aviation connector, realizing the plug-and-play (hot-swappable) of the measuring energy acquisition gripper module, which is more convenient in installation and maintenance.

[0134] Taking into account the risk that the CT energy acquisition voltage in a certain measuring energy acquisition gripper module may fail or the wire current may be zero, the measuring energy acquisition gripper module also has a reverse power supply function: when the CT energy acquisition voltage is less than 3.6V, the supercapacitor on the power board will reverse power the measuring energy acquisition gripper module to ensure that the measuring energy acquisition gripper module can still work normally when the CT energy acquisition voltage is insufficient.

[0135] The multi-parameter intelligent monitoring host is powered by a power board equipped with a supercapacitor, which uses a power management chip to manage the power supply of the whole machine. The multi-parameter intelligent monitoring host is designed with a dual-master architecture, integrating ad hoc (short-distance communication) module, RTK, nine-axis attitude sensor, temperature and humidity sensor, accelerometer, visible light camera, WIFI module, etc.; the multimedia data interaction (photos, videos), end-side AI recognition, file interaction, WIFI local debugging, configuration file storage and other functions are managed by the RV1126 chip (master 1), and the accelerometer, temperature and humidity, current measurement data, power consumption mode management, etc. are managed by another MCU chip (master 2). The master 1 and the master 2 communicate through the RS485 protocol. The master 1 and the master 2 share the 4G / 5G module, the master 1 is connected to the 4G / 5G module through the USB bus, and the master 2 is connected to the 4G / 5G module through the UART protocol. The power supply of the master 1 is controlled by the master 2.

[0136] During operation, the device will set the operating state to different states according to the current CT energy supply voltage.

[0137] When the voltage of the built-in supercapacitor of the device is less than 3.2V, the main control 2 turns off the power of the main control 1, retaining only the 4G / 5G module power supply and the temperature and humidity sensor, and regularly uploading the current environmental temperature and humidity data once every 10 minutes to retain the heartbeat signal. That is, the low power consumption characteristics of the main control 2 are used to minimize the power consumption of the device, retaining only the minimum communication function with the platform, and achieving ultra-low power consumption operation.

[0138] When the voltage of the built-in supercapacitor of the device is greater than or equal to 3.2V and less than 3.6V, the main control 2 starts the 4G / 5G module, RTK, attitude sensor, temperature and humidity sensor peripherals, and turns off the power of the main control 1. At this time, the main control 2 can monitor the wire dancing and sag data through the attitude sensor and RTK and send it to the platform through the 4G / 5G module, so as to achieve the operation state of the device with lower power consumption.

[0139] When the voltage of the built-in supercapacitor of the device is greater than or equal to 3.6V, the main control 2 will turn on all peripheral modules and turn on the power of the main control 1. At the same time, the working mode of the main control 1 will be set through the RS485 protocol between the power boards. The main control 1 will start the WIFI module for local debugging and turn on the specified visible light camera module according to the working mode set by the main control 2. The purpose of using the MIPI gating chip for camera control is to mount more cameras under the limited encoding capacity of the NPU chip; the camera can take pictures in a patrol at a specified time interval (configurable). If the risk of external damage to the power transmission channel (wildfire, smoke, crane, excavator, etc.) is identified, the alarm information and pictures will be uploaded to the platform based on the HTTP file transfer protocol and through the 4G / 5G module. The main control 1 will also be responsible for storing the device configuration file issued by the platform in XML format. It contains serial number information, data upload interval, etc.

[0140] In order to solve the conflict caused by the reuse of dual-controller 4G / 5G modules, a 4G / 5G mutex lock design based on the inter-board RS485 protocol is adopted: this mechanism ensures that only one processor can use the wireless communication module at any time. When the first processor (main control 1) needs to use the 4G / 5G module, it will set a bit in the pre-defined 4G / 5G application register. The second processor (main control 2) will poll this application register. If it finds that the value of the 4G / 5G application register is set and the 4G / 5G module is not currently in use, it will set a bit in another 4G / 5G available register, indicating that the 4G / 5G module has been occupied by the first processor. After completing the communication, the first processor will reset the 4G / 5G application register and release the 4G / 5G module for the second processor to use.

[0141] Compared with the traditional single-master control architecture monitoring device, the dual-master control architecture fully utilizes the low power consumption characteristics of the MCU chip, and realizes the terminal-side artificial intelligence recognition function by integrating the powerful computing power of the NPU chip. The dual-master control architecture complements each other in terms of functions, and can realize the spatiotemporal scheduling and resource allocation of the sensor module based on energy status, further improving the performance and efficiency of the system.

[0142] The structure in which the measurement and energy acquisition gripper module and the multi-parameter intelligent monitoring host are separated makes it easier to repair device failures. The module realizes energy acquisition and measurement multiplexing through an 8-core shielded cable, which improves the connection reliability between modules and further reduces the failure rate of the device.

[0143] Each module in the above-mentioned low-power multi-parameter intelligent sensing device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0144] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store current data, wire temperature data and CT energy voltage data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a low-power multi-parameter intelligent sensing method is realized.

[0145] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0146] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0147] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through the power ground wire;

[0148] The measuring energy acquisition gripper module is used to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0149] A multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0150] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0151] The first processor is communicatively connected with the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time.

[0152] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0153] Before the first processor or the second processor applies to use the wireless communication module, determining whether an application mark exists in an application register of the wireless communication module;

[0154] In the absence of the application mark, it indicates that the working state of the wireless communication module is an idle state, and the wireless communication module is allowed to be used.

[0155] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0156] The motion data of the wire is monitored by an accelerometer and an attitude sensing unit, and the motion data includes vibration data, galloping data, wind deviation data and torsion data;

[0157] Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data;

[0158] When the lateral acceleration exceeds the preset acceleration threshold, the dancing recording function is triggered and the wire dancing amplitude is calculated.

[0159] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0160] Filtering the collected acceleration signal and angular velocity signal;

[0161] Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal;

[0162] Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point;

[0163] In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle;

[0164] According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

[0165] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0166] When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to stop working, the wireless communication module and the temperature and humidity sensor unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval;

[0167] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, the first starter module is controlled to suspend work, the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the conductor dancing amplitude, and the conductor dancing and sag data are uploaded;

[0168] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and alarm data in the image data of the power line is monitored and transmitted.

[0169] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0170] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through the power ground wire;

[0171] The measuring energy acquisition gripper module is used to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0172] A multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0173] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0174] The first processor is communicatively connected with the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time.

[0175] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0176] Before the first processor or the second processor applies to use the wireless communication module, determining whether an application mark exists in an application register of the wireless communication module;

[0177] In the absence of the application mark, it indicates that the working state of the wireless communication module is an idle state, and the wireless communication module is allowed to be used.

[0178] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0179] The motion data of the wire is monitored by an accelerometer and an attitude sensing unit, and the motion data includes vibration data, galloping data, wind deviation data and torsion data;

[0180] Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data;

[0181] When the lateral acceleration exceeds the preset acceleration threshold, the dancing recording function is triggered and the wire dancing amplitude is calculated.

[0182] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0183] Filtering the collected acceleration signal and angular velocity signal;

[0184] Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal;

[0185] Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point;

[0186] In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle;

[0187] According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

[0188] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0189] When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to stop working, the wireless communication module and the temperature and humidity sensor unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval;

[0190] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, the first starter module is controlled to suspend work, the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the conductor dancing amplitude, and the conductor dancing and sag data are uploaded;

[0191] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and alarm data in the image data of the power line is monitored and transmitted.

[0192] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0193] A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through the power ground wire;

[0194] The measuring energy acquisition gripper module is used to collect the current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal;

[0195] A multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to perform AI recognition and multimedia interaction on the transmission line, and the second processor of the multi-parameter intelligent monitoring host is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

[0196] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0197] The first processor is communicatively connected with the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time.

[0198] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0199] Before the first processor or the second processor applies to use the wireless communication module, determining whether an application mark exists in an application register of the wireless communication module;

[0200] In the absence of the application mark, it indicates that the working state of the wireless communication module is an idle state, and the wireless communication module is allowed to be used.

[0201] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0202] The motion data of the wire is monitored by an accelerometer and an attitude sensing unit, and the motion data includes vibration data, galloping data, wind deviation data and torsion data;

[0203] Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data;

[0204] When the lateral acceleration exceeds the preset acceleration threshold, the dancing recording function is triggered and the wire dancing amplitude is calculated.

[0205] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0206] Filtering the collected acceleration signal and angular velocity signal;

[0207] Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal;

[0208] Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point;

[0209] In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle;

[0210] According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

[0211] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0212] When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to stop working, the wireless communication module and the temperature and humidity sensor unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval;

[0213] When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, the first starter module is controlled to suspend work, the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the conductor dancing amplitude, and the conductor dancing and sag data are uploaded;

[0214] When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and alarm data in the image data of the power line is monitored and transmitted.

[0215] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0216] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0217] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0218] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A low-power multi-parameter intelligent sensing method, characterized in that: The method comprises: A measuring energy acquisition gripper module is installed on each conductor of the transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to a multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire; The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line; wherein, the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal; The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line; wherein, the first processor of the multi-parameter intelligent monitoring host is used to intelligently process the transmission line information, including AI recognition and multimedia interaction, and the second processor of the multi-parameter intelligent monitoring host is used as a sensor main control processor to control the low-power operation and power management of the multi-parameter intelligent monitoring host, and the first processor has an embedded neural network processing unit.

2. The method according to claim 1, characterized in that The first processor is in communication connection with the second processor and shares the same wireless communication module; wherein the first processor and the second processor do not use the wireless communication module at the same time; the specific process of the first processor and the second processor not using the wireless communication module at the same time includes: Before the first processor or the second processor applies to use the wireless communication module, determining whether an application mark exists in an application register of the wireless communication module; In the absence of the application mark, it indicates that the working state of the wireless communication module is an idle state, and the use of the wireless communication module is permitted.

3. The method according to claim 1, characterized in that The method of processing the power consumption of the power transmission line by using the multi-parameter intelligent monitoring host comprises: Monitoring the motion data of the wire by means of an accelerometer and a posture sensing unit, wherein the motion data includes vibration data, galloping data, wind deviation data and torsion data; Analyzing whether the lateral acceleration of the wire exceeds a preset acceleration threshold according to the motion data; When the lateral acceleration exceeds a preset acceleration threshold, a dancing recording function is triggered and the wire dancing amplitude is calculated.

4. The method according to claim 3, characterized in that The process of calculating the wire galloping amplitude includes: Filtering the collected acceleration signal and angular velocity signal; Through numerical integration, the filtered acceleration signal and angular velocity signal are converted into velocity signal, and then into displacement signal; Identify the periodic characteristics of the conductors of the transmission line and determine the zero speed point; In each dancing cycle, piecewise integration is performed from the zero velocity point to the next zero velocity point to calculate the displacement change in each cycle; According to the displacement change in each cycle, the average displacement in all dancing cycles is calculated to obtain the wire dancing amplitude.

5. The method according to claim 1, characterized in that The method of processing the power consumption of the power transmission line by using the multi-parameter intelligent monitoring host comprises: When the CT energy-taking voltage data is less than the first preset voltage threshold, the ultra-low power consumption mode is entered, the first starter module is controlled to suspend operation, the wireless communication module and the temperature and humidity sensing unit are controlled to work, and the temperature and humidity data are uploaded at a preset interval; When the CT energy-taking voltage data is greater than or equal to the first preset voltage threshold and less than the second preset voltage threshold, the low power consumption mode is entered, the wireless communication module, the Beidou unit and the attitude sensing unit are controlled to work, and the first starter module is controlled to suspend work; the dancing amplitude estimation model constructed by the historical dancing amplitude data is used to estimate the wire dancing amplitude, and the wire dancing and sag data are uploaded; and when the power supply is sufficient, the acceleration signal and the angular velocity signal measured by the attitude sensing unit are used to iteratively update the dancing amplitude estimation model in real time; When the CT energy-taking voltage data is greater than or equal to the second preset voltage threshold, the full-function mode is entered, the first starter module is controlled to start working, local debugging is performed, and the alarm data in the image data of the power line is monitored and transmitted.

6. A low-power multi-parameter intelligent sensing device, characterized in that: The device comprises a measuring energy acquisition gripper module and a multi-parameter intelligent monitoring host, the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and both are installed on each conductor of the power transmission line; power output is formed by electromagnetic induction, and the equipotential between the measuring energy acquisition gripper module and the conductor is achieved through conductive rubber and electrical connection; the measuring energy acquisition gripper module is electrically connected to the multi-parameter intelligent monitoring host, and the equipotential between the measuring energy acquisition gripper module and the multi-parameter intelligent monitoring host is achieved through a power ground wire; The measuring and energy acquisition gripper module is used to collect current data, conductor temperature data and CT energy acquisition voltage data of the transmission line, wherein the current data is transmitted to the multi-parameter intelligent monitoring host by using an analog differential signal, and the conductor temperature data and CT energy acquisition voltage data are transmitted to the multi-parameter intelligent monitoring host by using a digital signal; The multi-parameter intelligent monitoring host is used to process the power consumption of the transmission line, wherein the multi-parameter intelligent monitoring host comprises a first processor and a second processor, and the first processor has an embedded neural network processing unit; The first processor is used to perform AI recognition and multimedia interaction on the power transmission line; The second processor is used to control the low-power operation and power management of the multi-parameter intelligent monitoring host.

7. The device according to claim 6, characterized in that A shielded cable containing multiple conductor cores is used to transmit information between the measuring and energy-collecting gripper module and the multi-parameter intelligent monitoring host; Among them, at least one conductor core of the shielded cable is used to transmit conductor temperature data, at least one conductor core is used to transmit current data of the transmission line, and at least one conductor core is used to transmit CT energy extraction voltage data.

8. The device according to claim 6, characterized in that The first processor includes a first main control chip, and a posture sensing unit, a battery detection unit, a capacitance detection unit, a CT energy acquisition voltage data detection unit, a temperature and humidity sensing unit, an air pressure sensing unit, an accelerometer and a Beidou unit connected to the first main control chip; The second processor includes a second main control chip, and a WIFI module, an embedded multimedia card EMMC, a power chip and a camera unit connected to the second main control chip.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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