A multi-source data acquisition terminal for ultra-high voltage power transmission

Abstract

The present invention discloses a multi-source data acquisition terminal in ultra-high voltage power transmission, which belongs to the field of ultra-high voltage power transmission technology. The ultra-high voltage power transmission line on the pole tower is monitored in real time by a video monitoring unit, a wind speed detection unit, a tilt monitoring unit and an ice detection unit, and relevant multi-source data is formed. Different levels of early warning information are formed through a data processing unit and an early warning unit, and can be fed back to a remote server through a data feedback unit, thereby providing work guidance to the staff. The present application relies on multi-source data for comprehensive analysis and processing, reduces the problem of poor accuracy of early warning information caused by single data, greatly improves the accuracy of early warning information, and reduces the workload of line patrol for staff.

Description

Technical Field

[0001] The present invention relates to the technical field of data collection and early warning, and in particular to a collection terminal based on multi-source data in ultra-high voltage power transmission. Background Art

[0002] Ultra-high voltage transmission refers to the transmission of electric energy using a voltage level of 500 kV to 1000 kV. If the 220 kV transmission index is 100%, the relative investment per kilometer of ultra-high voltage transmission, the relative cost per kWh of electricity transmission per 100 kilometers, and the consumption of metal materials are greatly reduced, and the utilization rate of line corridors is significantly improved. Ultra-high voltage transmission has played a huge role in my country's national economy and people's livelihood.

[0003] Ultra-high voltage transmission lines extend vertically and horizontally as needed, so they are greatly affected by the geographical environment and climate in which they are located. Every year, power outages in the power grid are mainly caused by line accidents. Traditional transmission line inspections mainly rely on periodic inspections by operation and maintenance personnel. Although they can find hidden dangers in equipment, they lack detection of special environments and climates due to their own limitations. They cannot timely grasp the changes in external forces in the line corridor during the vacuum period of the inspection cycle. It is very easy for line accidents to occur before the next inspection due to lack of monitoring.

[0004] Based on the above problems, technicians in this field have developed a variety of technologies for monitoring ultra-high voltage power transmission, and timely transmit the collected multi-source data to the remote server, which performs data integration and analysis. For example, patent application number 2021109478466, patent name "Power transmission line dancing warning system in strong wind and sand areas based on video monitoring technology", records: including energy supply unit, image acquisition unit, wind speed detection unit, data analysis unit, data feedback unit and control and adjustment unit. The present invention captures the wire through the set image acquisition unit, and the wind speed detection unit detects the wind speed and wind direction, and transmits the detected and captured wire image to the data analysis unit for analysis and judgment to determine whether the wire is dancing, and when the wire swings greatly and dances, a warning signal is sent to the management end, so that the people at the management end can know in time, so that when the wire breaks and needs to be repaired in the later stage, the area where the wire swings can be checked in a focused manner to reduce the workload of wire inspection. However, the above patent technology is limited to the collection and analysis of dancing data, and the dancing data is not graded after being collected and reported to the management end, so its accuracy is poor. Patent application number 2013102770730, patent name "A real-time monitoring and prediction method for the dancing of transmission lines based on video analysis", which records: collecting original images; processing the original images at the monitoring terminal, and automatically identifying the characteristic target points on the transmission lines obtained after processing, and obtaining the position coordinates of the target points respectively; analyzing the pre-processed images to obtain the position coordinates of the target points of the transmission lines, and calculating the thickness of the ice covering the wires; according to the vertical coordinates of the target points of the continuous image files, counting the number of continuous images between adjacent maximum or minimum values, and then calculating the dancing frequency of the wires according to the time interval between two adjacent images; and performing simulation prediction and analysis on the future dancing of the transmission lines. The above patent also collects and analyzes single dancing data, and does not collect multi-source data such as tilt data and wind speed data to combine and issue risk warnings for ultra-high voltage transmission.

[0005] Therefore, the present application provides a multi-source data collection terminal for ultra-high voltage power transmission, which is installed on the pole tower to realize real-time monitoring and analysis of data and provide graded early warning for power transmission risks. Summary of the invention

[0006] To this end, the present invention provides a data collection terminal based on multi-source data in ultra-high voltage power transmission to solve related technical problems existing in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] A multi-source data collection terminal in ultra-high voltage power transmission, installed on an ultra-high voltage power transmission tower, comprising:

[0009] A video monitoring unit, used for monitoring real-time image data of the ultra-high voltage transmission line installed on the tower;

[0010] Wind speed detection unit, used to detect wind speed data at the ultra-high voltage transmission line installed on the tower in real time;

[0011] Tilt monitoring unit, used to monitor the tilt data of the tower in real time;

[0012] An ice detection unit, used to detect ice data of ultra-high voltage transmission lines;

[0013] a data processing unit, receiving the real-time image data of the ultra-high voltage transmission line monitored by the video monitoring unit, the wind speed data of the ultra-high voltage transmission line detected by the wind speed detection unit, the tilt data of the tower monitored by the tilt monitoring unit, and the ice data of the ultra-high voltage transmission line detected by the ice detection unit, and analyzing and processing the multi-source data;

[0014] an early warning unit, configured to classify the analysis and processing results of the multi-source data by the data processing unit and form graded early warning information; and

[0015] The data feedback unit is used to feed back the multi-source data and warning information to the remote server.

[0016] Further, wherein the video monitoring unit includes an image capture module, a trigger module, an angle measurement module and a storage module;

[0017] The image capture module is used to capture image data of the ultra-high voltage transmission line in real time;

[0018] The trigger module is used to receive the real-time state image data of the image capture module, and compare it with the natural state image data of the ultra-high voltage transmission line, and trigger angle measurement after the comparison;

[0019] The angle measurement module is used to receive the trigger information of the trigger module and measure the swing angle of the ultra-high voltage transmission line;

[0020] The storage module is used to store the maximum swing angle of the ultra-high voltage transmission line measured by the angle measurement module.

[0021] Furthermore, the angle measurement module is further used to assign a first characteristic value according to the swing angle data of the ultra-high voltage transmission line obtained by measurement, including:

[0022]

[0023] Wherein, A is the first characteristic value, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, T is the interval time of image capture, and U is the correction coefficient.

[0024] Further, the wind speed detection unit acquires wind speed data in real time and assigns a second characteristic value according to the wind speed level state data, including:

[0025]

[0026] Wherein, B is the second eigenvalue, b1 is the wind speed value, θ is the angle of wind direction relative to the length direction of the cable, and η is the angle coefficient.

[0027] Furthermore, the tilt monitoring unit acquires the tilt data of the tower in real time, and assigns a third characteristic value according to the tilt level state data, including:

[0028]

[0029] Among them, C is the third eigenvalue, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, c2 is the tower inclination angle value at the second time, c1 is the tower inclination angle value at the first time, and ε is the stability coefficient.

[0030] Furthermore, the ice detection unit acquires ice thickness data of the ultra-high voltage transmission line in real time, and assigns a fourth characteristic value according to the thickness level state data, including:

[0031]

[0032] Among them, D is the fourth eigenvalue, R is the ice thickness radius, d is the unit length, ω is the fall coefficient, and ρ is the ice density.

[0033] Further, the data processing unit is further used to obtain the swing state value E according to the first eigenvalue, the second eigenvalue, the third eigenvalue and the fourth eigenvalue, including:

[0034]

[0035] Among them, k1 is the correlation coefficient between the swing state value and the first eigenvalue A, k2 is the correlation coefficient between the swing state value and the second eigenvalue B, k3 is the correlation coefficient between the swing state value and the third eigenvalue B, and k4 is the correlation coefficient between the swing state value and the fourth eigenvalue D.

[0036] Further, the early warning unit pre-sets a first threshold and a second threshold, and compares the swing state value E with the first threshold and the second threshold;

[0037] When the swing state value E is less than a first threshold, the early warning unit generates a first early warning message; when the swing state value E is greater than the first threshold and less than a second threshold, the early warning unit generates a second early warning message; when the swing state value E is greater than the second threshold, the early warning unit generates a third early warning message.

[0038] Furthermore, the data feedback unit transmits the first warning information, the second warning information or the third warning information to a remote server.

[0039] Furthermore, it also includes a correction unit, which is used to correct the preset first threshold and second threshold according to the learning model;

[0040] The learning model is obtained through machine learning training using multiple sets of data, and the multiple sets of data include first data and second data, the first data is data when the ultra-high voltage transmission line is in a stationary state, and the second data is data when the ultra-high voltage transmission line is in a swinging state.

[0041] The present invention has the following advantages:

[0042] The video monitoring unit, wind speed detection unit, tilt monitoring unit and ice detection unit monitor the ultra-high voltage transmission line on the tower in real time and form relevant multi-source data. The data processing unit and the early warning unit form different levels of early warning information, which are fed back to the remote server through the data feedback unit to provide work guidance for the staff. This application relies on multi-source data for comprehensive analysis and processing, which reduces the problem of poor accuracy of early warning information caused by single data, greatly improves the accuracy of early warning information, and reduces the workload of staff line inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0044] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0045] Figure 1It is a structural block diagram of a multi-source data collection terminal of the present invention;

[0046] Figure 2 is a structural block diagram of a video monitoring unit of the present invention;

[0047] Among them, 100 is a video monitoring unit; 101 is an image capture module; 102 is a trigger module; 103 is an angle measurement module; 104 is a storage module; 200 is a wind speed detection unit; 300 is a tilt monitoring unit; 400 is an ice detection unit; 500 is a data processing unit; 600 is an early warning unit; 700 is a data feedback unit; and 800 is a correction unit. DETAILED DESCRIPTION

[0048] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] In order to solve the problem that the monitoring data of ultra-high voltage transmission lines in the art is single and it is difficult to form comprehensive early warning analysis information, the embodiment of the present application provides a multi-source data collection terminal in ultra-high voltage transmission, which is installed on an ultra-high voltage transmission tower and includes the following component units, such as Figure 1 ,in:

[0050] The video monitoring unit 100 is used to monitor the real-time image data of the ultra-high voltage transmission line installed on the tower. Figure 2 , the video monitoring unit 100 includes an image capturing module 101, a triggering module 102, an angle measuring module 103 and a storage module 104;

[0051] The image capture module 101 is used to capture image data of the ultra-high voltage transmission line in real time. The image data includes swing angle information, swing speed information, image information of whether ice is covered, etc. extracted from the captured image. The above information is formed into one-to-one corresponding information data according to the time point of image capture, and the information data is transmitted to the trigger module 102.

[0052] The trigger module 102 is used to receive the real-time state image data of the image capture module 101, and compare it with the natural state image data of the ultra-high voltage transmission line, and trigger the angle measurement after the comparison. In this embodiment, the basic information such as the swing angle and the swing speed are pre-set in the trigger module 102. Through the comparison of the data, when the preset basic conditions are exceeded, the next angle measurement is triggered, and the further calculation of the swing information is realized through the angle measurement. For example, the trigger module 102 presets the upper limit of the swing angle as 10 degrees. When the swing angle of the image data captured by the image capture module 101 is 7 degrees, the next angle measurement is not triggered; when the Baidu angle of the image data captured by the image capture module 101 exceeds 10 degrees, the next angle measurement is triggered.

[0053] The angle measurement module 103 is used to receive the trigger information of the trigger module 102 and measure the swing angle of the ultra-high voltage transmission line. The angle measurement module 103 is also used to assign a first characteristic value according to the swing angle data of the ultra-high voltage transmission line obtained by measurement, including:

[0054]

[0055] Wherein, A is the first characteristic value, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, T is the interval time of image capture, and U is the correction coefficient.

[0056] Based on the above formula, it can be known that when the detected swing angle amplitude is larger, the first characteristic value is larger, indicating that the power transmission risk is more likely to occur. Generally, in the specific calculation, the swing angle state data a1 at the first time is positioned as the angle in the natural state without wind, which is generally zero.

[0057] The storage module 104 is used to store the maximum swing angle of the ultra-high voltage transmission line measured by the angle measurement module 103. It can cover the previous maximum swing angle information, or record swing data according to time to provide reference for subsequent construction and inspection.

[0058] The wind speed detection unit 200 is used to detect the wind speed data at the ultra-high voltage transmission line installed on the tower in real time; wherein, the wind speed detection unit 200 obtains the wind speed data in real time and assigns a second characteristic value according to the wind speed level state data, including:

[0059]

[0060] Wherein, B is the second eigenvalue, b1 is the wind speed value, θ is the angle of wind direction relative to the length direction of the cable, and η is the angle coefficient.

[0061] According to the above formula, the wind speed data and the angle of the wind direction relative to the cable can be obtained through the wind speed detection unit 200. In this application, when the wind direction is perpendicular to the length direction of the cable, the angle θ is the smallest, and the influence of the wind speed on the second eigenvalue is greater. When the wind direction deviates from the length direction of the cable, the angle θ becomes larger, and the influence of the wind speed on the second eigenvalue changes. When the wind direction is the same as the length direction of the cable, the angle θ is the largest, and the influence of the wind speed on the second eigenvalue becomes smaller. At the same time, the measured angle is corrected by the angle coefficient η.

[0062] The tilt monitoring unit 300300 is used to monitor the tilt data of the tower in real time; wherein the tilt monitoring unit 300 obtains the tilt data of the tower in real time and assigns a third characteristic value according to the tilt level state data, including:

[0063]

[0064] Among them, C is the third eigenvalue, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, c2 is the tower inclination angle value at the second time, c1 is the tower inclination angle value at the first time, and ε is the stability coefficient.

[0065] Based on the above formula, the problem that traditional UHV transmission line monitoring does not detect the tilt angle of the tower is changed. In this application, the swing angle of the UHV transmission line tower will be measured. At the same time, the algorithm will combine the UHV transmission line swing data and the tower tilt data to obtain the third eigenvalue.

[0066] The ice detection unit 400 is used to detect ice data of the ultra-high voltage transmission line; wherein the ice detection unit 400 obtains ice thickness data of the ultra-high voltage transmission line in real time, and assigns a fourth characteristic value according to the thickness level state data, including:

[0067]

[0068] Among them, D is the fourth eigenvalue, R is the ice thickness radius, d is the unit length, ω is the fall coefficient, and ρ is the ice density.

[0069] Based on the above formula, it can be known that the ice thickness is detected by the ice detection unit 400, and the weight of ice on the length is calculated by the algorithm of the above formula 4. The fourth eigenvalue establishes the relationship between the ice weight and the swing state. When the ice thickness is thicker, the weight is greater, and its influence on the swing is greater.

[0070] The data processing unit 500 receives the real-time image data of the ultra-high voltage transmission line monitored by the video monitoring unit 100, the wind speed data of the ultra-high voltage transmission line detected by the wind speed detection unit 200, the tilt data of the tower monitored by the tilt monitoring unit 300, and the ice data of the ultra-high voltage transmission line detected by the ice detection unit 400, and analyzes and processes the multi-source data; wherein the data processing unit 500 is further used to obtain the swing state value E according to the first eigenvalue, the second eigenvalue, the third eigenvalue and the fourth eigenvalue, including:

[0071]

[0072] Among them, k1 is the correlation coefficient between the swing state value and the first eigenvalue A, k2 is the correlation coefficient between the swing state value and the second eigenvalue B, k3 is the correlation coefficient between the swing state value and the third eigenvalue B, and k4 is the correlation coefficient between the swing state value and the fourth eigenvalue D.

[0073] The early warning unit 600 is used to classify the analysis and processing results of the multi-source data by the data processing unit 500 and form graded early warning information; the early warning unit 600 pre-sets a first threshold and a second threshold, and compares the swing state value E with the first threshold and the second threshold;

[0074] When the swing state value E is less than the first threshold, the warning unit 600 generates a first warning message; when the swing state value E is greater than the first threshold and less than the second threshold, the warning unit 600 generates a second warning message; when the swing state value E is greater than the second threshold, the warning unit 600 generates a third warning message.

[0075] The data feedback unit 700 is used to feed back the multi-source data and the warning information to the remote server. The data feedback unit 700 transmits the first warning information, the second warning information or the third warning information to the remote server.

[0076] The video monitoring unit 100, the wind speed detection unit 200, the tilt monitoring unit 300 and the ice detection unit 400 are used to monitor the ultra-high voltage transmission line on the tower in real time and generate relevant multi-source data. Different levels of warning information are generated through the data processing unit 500 and the warning unit 600, and are fed back to the remote server through the data feedback unit 700, thereby providing work guidance to the staff.

[0077] At the same time, it also includes a correction unit 800, which is used to correct the pre-set first threshold and second threshold according to the learning model; the learning model is obtained by machine learning training using multiple sets of data, and the multiple sets of data include first data and second data, the first data is the data when the ultra-high voltage transmission line is in a stationary state, and the second data is the data when the ultra-high voltage transmission line is in a swinging state. The correction unit 800 in this embodiment is mainly used to modify the first threshold and the second threshold, because in different seasons, temperature, humidity, etc. will have an impact on the transmission line.

[0078] This application relies on multi-source data for comprehensive analysis and processing, which reduces the problem of poor accuracy of warning information caused by single data, greatly improves the accuracy of warning information, and reduces the workload of staff in line inspections.

[0079] In the 1990s, improvements to a technology could be clearly distinguished as hardware improvements (for example, improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (improvements to the method flow). However, with the development of technology, many improvements to the method flow today can be regarded as direct improvements to the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that an improvement in a method flow cannot be implemented using a hardware entity module. For example, a programmable logic device (PLD) (such as a field programmable gate array (FPGA)) is such an integrated circuit whose logical function is determined by the user's programming of the device. Designers can "integrate" a digital system on a PLD by programming it themselves, without having to ask a chip manufacturer to design and produce a dedicated integrated circuit chip. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly implemented by "logic compiler" software, which is similar to the software compiler used when developing and writing programs, and the original code before compilation must also be written in a specific programming language, which is called hardware description language (HDL). There is not only one HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc. The most commonly used ones are VHDL (Very-High-Speed ​​Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also know that it is only necessary to program the method flow slightly in the above-mentioned hardware description languages ​​and program it into the integrated circuit, and then it is easy to obtain the hardware circuit that implements the logic method flow.

[0080] The controller can be implemented in any appropriate manner, for example, the controller can take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) that can be executed by the (micro)processor, a logic gate, a switch, an application-specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320. The memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that in addition to implementing the controller in a purely computer-readable program code manner, the controller can be implemented in the form of a logic gate, a switch, an application-specific integrated circuit, a programmable logic controller, and an embedded microcontroller by logically programming the method steps. Therefore, this controller can be considered as a hardware component, and the devices included therein for implementing various functions can also be regarded as structures within the hardware component. Or even, the devices for implementing various functions can be regarded as both software modules for implementing the method and structures within the hardware component.

[0081] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0082] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0083] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that performs the functions of instructions in a block or multiple blocks.

[0085] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 The function of the instructions in a box or multiple boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 In a typical configuration, a computer includes one or more processors (CPU), an input / output interface, a network interface, and a memory.

[0088] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0089] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0090] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A multi-source data collection terminal in ultra-high voltage power transmission, installed on an ultra-high voltage power transmission tower, characterized in that: include: A video monitoring unit, used for monitoring real-time image data of the ultra-high voltage transmission line installed on the tower; Wind speed detection unit, used to detect wind speed data at the ultra-high voltage transmission line installed on the tower in real time; Tilt monitoring unit, used to monitor the tilt data of the tower in real time; An ice detection unit, used to detect ice data of ultra-high voltage transmission lines; a data processing unit, receiving the real-time image data of the ultra-high voltage transmission line monitored by the video monitoring unit, the wind speed data of the ultra-high voltage transmission line detected by the wind speed detection unit, the tilt data of the tower monitored by the tilt monitoring unit, and the ice data of the ultra-high voltage transmission line detected by the ice detection unit, and analyzing and processing the multi-source data; An early warning unit, used to classify the analysis and processing results of the multi-source data by the data processing unit and form graded early warning information; and A data feedback unit, used for feeding back the multi-source data and warning information to a remote server; Wherein, the video monitoring unit includes an image capture module, a trigger module, an angle measurement module and a storage module; The image capture module is used to capture image data of the ultra-high voltage transmission line in real time; The trigger module is used to receive the real-time state image data of the image capture module, and compare it with the natural state image data of the ultra-high voltage transmission line, and trigger angle measurement after the comparison; The angle measurement module is used to receive the trigger information of the trigger module and measure the swing angle of the ultra-high voltage transmission line; The storage module is used to store the maximum swing angle of the ultra-high voltage transmission line measured by the angle measurement module; The data processing unit is further used to obtain the swing state value E according to the first eigenvalue, the second eigenvalue, the third eigenvalue and the fourth eigenvalue, including: Among them, k1 is the correlation coefficient between the swing state value and the first eigenvalue A, k2 is the correlation coefficient between the swing state value and the second eigenvalue B, k3 is the correlation coefficient between the swing state value and the third eigenvalue B, and k4 is the correlation coefficient between the swing state value and the fourth eigenvalue D.

2. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 1, characterized in that: in, The angle measurement module is also used to assign a first characteristic value according to the swing angle data of the ultra-high voltage transmission line obtained by measurement, including: Wherein, A is the first characteristic value, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, T is the interval time of image capture, and U is the correction coefficient.

3. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 2, characterized in that: in, The wind speed detection unit acquires wind speed data in real time and assigns a second characteristic value according to the wind speed level state data, including: Wherein, B is the second eigenvalue, b1 is the wind speed value, θ is the angle of wind direction relative to the length direction of the cable, and η is the angle coefficient.

4. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 3, characterized in that: in, The tilt monitoring unit acquires the tilt data of the tower in real time and assigns a third characteristic value according to the tilt level state data, including: Among them, C is the third eigenvalue, a2 is the swing angle state data at the second time, a1 is the swing angle state data at the first time, c2 is the tower inclination angle value at the second time, c1 is the tower inclination angle value at the first time, and ε is the stability coefficient.

5. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 4, characterized in that: in, The ice detection unit acquires ice thickness data of the ultra-high voltage transmission line in real time, and assigns a fourth characteristic value according to the thickness level state data, including: Among them, D is the fourth eigenvalue, R is the ice thickness radius, d is the unit length, ω is the fall coefficient, and ρ is the ice density.

6. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 5, characterized in that: The early warning unit pre-sets a first threshold and a second threshold, and compares the swing state value E with the first threshold and the second threshold; When the swing state value E is less than a first threshold, the early warning unit generates a first early warning message; when the swing state value E is greater than the first threshold and less than a second threshold, the early warning unit generates a second early warning message; When the swing state value E is greater than a second threshold, the early warning unit generates third early warning information.

7. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 6, characterized in that: The data feedback unit transmits the first warning information, the second warning information or the third warning information to a remote server.

8. The multi-source data collection terminal in ultra-high voltage power transmission according to claim 6, characterized in that: Also included is a correction unit, the correction unit being used to correct the preset first threshold and second threshold according to the learning model; The learning model is obtained through machine learning training using multiple sets of data, and the multiple sets of data include first data and second data, the first data is data when the ultra-high voltage transmission line is in a stationary state, and the second data is data when the ultra-high voltage transmission line is in a swinging state.

Images