Self-checking method and system for power transmission line monitoring data transmission

Abstract

The invention relates to the technical field of power transmission line monitoring, in particular to a self-checking method and system for power transmission line monitoring data transmission. The method comprises the steps of collecting power transmission line channel environment and line body monitoring data collected by different types of monitoring sensors, solving a data missing rate through a data traffic baseline analysis model in a time window, studying and judging whether the power transmission line monitoring multi-hop ad hoc network has network congestion, time delay and packet loss, solving the data missing rate, and judging whether the power transmission line monitoring multi-hop ad hoc network has network congestion, time delay and packet loss. The operation state of the power transmission line monitoring multi-hop ad hoc network is automatically diagnosed, and reliable operation and reliable data transmission of a power transmission line state monitoring system are guaranteed. By constructing the power transmission line monitoring multi-hop ad hoc network, the change of a power transmission line corridor network environment can be dynamically adapted, structured data and unstructured data can be intelligently researched and judged, an iterative monitoring data flow base line can be optimized, the monitoring data missing rate is reduced, and operation and data transmission of a power transmission line state monitoring system are technically supported.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line monitoring, and in particular to a self-checking method and system for data transmission of power transmission line monitoring. Background Art

[0002] Advanced high-voltage transmission technology can transmit electricity over long distances, solve the problem of energy imbalance, achieve balanced energy utilization, promote the intensive development of clean energy and low-carbon transformation, reduce fossil energy consumption and pollutant emissions, and has significant economic and social benefits.

[0003] Due to the extremely uneven distribution of power sources, their diversity, and regional differences, transmission lines are long and widely distributed, making them highly susceptible to natural disasters, environmental impacts, and even sudden failures. Furthermore, limited human resources make it difficult to conduct comprehensive and real-time inspections of transmission lines, making it difficult to detect and address defects and hidden dangers early.

[0004] With the rapid development of the power Internet of Things (IoT), power grid companies are gradually deploying condition monitoring devices on transmission lines and building wireless sensor networks to remotely monitor the operating status of transmission lines. This alleviates the shortcomings of manual inspections and reduces wiring, IoT channel costs, and the risk of data leaks. However, the amount of transmission line condition monitoring data is enormous, especially unstructured data (such as video surveillance, graphics, and images). Transmitting and processing this condition monitoring data can cause network congestion and latency, impacting monitoring effectiveness.

[0005] In view of this, it is necessary to study technologies that can ensure the reliable transmission of transmission line status monitoring data and develop a self-checking method and system for transmission of transmission line monitoring data. Summary of the Invention

[0006] In response to the problems in the prior art, the present invention provides a self-verification method and system for monitoring data transmission of power transmission lines. The specific technical solutions are as follows:

[0007] A self-checking method for monitoring data transmission of a power transmission line comprises the following steps:

[0008] Step S1: Install and deploy a number of channel environment monitoring sensors and line body monitoring sensors on the transmission line;

[0009] Step S2, installing and deploying a data processing unit for power transmission monitoring on a power transmission line tower;

[0010] Step S3: constructing a multi-hop ad hoc network for monitoring power transmission lines in a self-organizing manner of a wireless sensor network; the multi-hop ad hoc network for monitoring power transmission lines includes channel environment monitoring sensors, line body monitoring sensors, and a data processing unit; the channel environment monitoring sensors and line body monitoring sensors serve as stations; and the data processing unit serves as an access point connected to a plurality of different stations via wireless channels.

[0011] Step S4, downloading the self-checking program for the transmission line monitoring data transmission into the data processing unit, and starting the self-checking program;

[0012] Step S5: The data processing unit diagnoses whether there is network congestion or delay in the transmission line monitoring multi-hop ad hoc network by monitoring the data flow baseline analysis method within the time window;

[0013] Step S6: When there is network congestion, delay, or packet loss in the transmission line monitoring multi-hop ad hoc network, the data processing unit sends a working status message about the fault information to the transmission line monitoring master station system and outputs the corresponding monitoring data missing rate.

[0014] Preferably, the channel environment monitoring sensor in step S1 includes an image monitoring sensor, a video monitoring sensor, a wind speed monitoring sensor, and a wind direction monitoring sensor; and the line body monitoring sensor includes an inclination monitoring sensor.

[0015] Preferably, the wireless channel in step S3 includes File Transfer Protocol, Hypertext Transfer Protocol Secure, Real-time Transport Protocol, and Real-time Streaming Protocol.

[0016] Preferably, the data transmission protocol of the transmission line monitoring multi-hop ad hoc network in step S3 stipulates the basic data transmission functions, frame structure, message content, transmission rules and verification algorithm; the message content includes monitoring data messages, control and configuration data messages, remote image messages, and working status messages.

[0017] Preferably, step S5 specifically includes the following steps:

[0018] Step S51, set the time granularity within the time window to 5 minutes, and the time window range to the last 24 hours;

[0019] Step S52: for monitoring data of different sensors on the power transmission line, respectively counting and recording data traffic of different binary networks in the multi-hop ad hoc network for monitoring the power transmission line, wherein the binary networks are composed of different sites and access points;

[0020] Step S53: grouping the data traffic of different binary networks within the time window into m groups of data by T minutes, where m = 24 × 60 / T;

[0021] Step S54: Taking N time windows as calculation period, the data packets of each binary network will contain M=N×m time granularity traffic data in a certain calculation period, which are x1, x2, x3, ..., x M ;

[0022] Step S55: Use the interquartile range method to count the flow data of each grouping unit, describe the upper quartile Q3 and the lower quartile Q1 respectively, and obtain the maximum data flow value V max and minimum data flow value V min ;

[0023] Step S56, remove the data flow interval [V min , V max ], and obtain n segments of group unit flow data y1, y2, y3, ..., y n ; where n <M;

[0024] Step S57, calculating the mean μ of the flow rate of each new group unit and the sample standard deviation σ of the flow rate of the new group unit;

[0025] Step S58, obtaining the mean flow rate of the M grouping units and the standard deviation of the flow rate samples within the calculation period, which are used to describe the monitoring data flow baseline;

[0026] Step S59: The data processing unit updates and calculates the data flow baseline in the most recent calculation period on a daily basis;

[0027] Step S510: The data processing unit checks the real-time traffic V of the data packet of the binary network at time t. t Is it in [μ k -3σ k , μ k +3σ k ] within the normal range, determine whether there is an abnormality, where μ k , σ k are the mean flow rate and standard deviation of flow rate samples of the data flow baseline corresponding to the group unit k at time t; if V t In the normal interval, the real-time traffic V of the data packet of the binary network at time t is represented t Normal; otherwise, the real-time traffic V of the data packet of the binary network at time t is determined. t abnormal;

[0028] Step S511: When the data processing unit determines the real-time flow rate V t When abnormal, it is considered that there is network congestion and delay in the transmission line monitoring multi-hop ad hoc network.

[0029] Preferably, the maximum data flow value V in step S55 maxand minimum data flow value V min The calculation method is as follows: V max =Q3+3(Q3-Q1);

[0030] V min =Q1-3(Q3-Q1).

[0031] Preferably, the data missing rate monitored in step S6 is specifically the ratio of the amount of data measured within a period of time according to the data sampling period to the amount of data that should be measured, expressed as a percentage.

[0032] A self-checking system for monitoring data transmission of a power transmission line, applying the method described above, comprises a plurality of channel environment monitoring sensors, a line body monitoring sensor, and a data processing unit; the channel environment monitoring sensors and the line body monitoring sensor serve as stations; the data processing unit serves as an access point and is connected to a plurality of different stations via wireless channels;

[0033] The site is used to collect transmission line monitoring data; the access point is used to receive transmission line monitoring data from different sites through wireless channels, and diagnose whether there is network congestion, delay, or packet loss in the transmission line monitoring multi-hop self-organizing network through a monitoring data traffic baseline analysis method within a time window. When network congestion, delay, or packet loss occurs in the transmission line monitoring multi-hop self-organizing network, the data processing unit sends a working status message about fault information to the transmission monitoring master station system and outputs the corresponding monitoring data missing rate.

[0034] A computer-readable storage medium includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute the monitoring data flow baseline analysis method within the time window of the self-checking method for monitoring data transmission on a power transmission line.

[0035] A processor is used to run a program, wherein when the program is run, the method for analyzing baseline monitoring data flow within a time window in the self-checking method for monitoring data transmission of a power transmission line is executed.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention provides a self-checking method and system for transmission of transmission line monitoring data, which specifically include aggregating transmission line channel environment and line body monitoring data collected from different types of monitoring sensors, solving the data missing rate through a data flow baseline analysis model within a time window, judging whether there is network congestion, delay, or packet loss in a multi-hop self-organizing network for transmission line monitoring, solving the data missing rate, and automatically diagnosing the operating status of the multi-hop self-organizing network for transmission line monitoring, solving the problem of difficulty in timely judging whether there is network congestion, delay, or packet loss in the multi-hop self-organizing network for transmission line monitoring, and ensuring the reliable operation of the transmission line status monitoring system and reliable data transmission.

[0038] Constructing a multi-hop self-organizing network for transmission line monitoring can dynamically adapt to changes in the network environment of the transmission line corridor. It can not only analyze structured data and unstructured data, but also effectively transmit continuous information such as images and videos, and discrete information such as wind speed, wind direction, and inclination angle. It can optimize the iterative monitoring data flow baseline, provide technical support to reduce the missing rate of monitoring data, and ensure timely monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0040] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0042] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0043] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0044] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0045] Example 1:

[0046] like Figure 1 As shown, this embodiment provides a self-checking method for monitoring data transmission of a power transmission line, comprising the following steps:

[0047] Step S1: Install and deploy a number of channel environment monitoring sensors and line body monitoring sensors on the transmission line. The channel environment monitoring sensors include image monitoring sensors, video monitoring sensors, wind speed monitoring sensors, and wind direction monitoring sensors; the line body monitoring sensors include tilt monitoring sensors.

[0048] Optionally, the sensor's internal clock has a time error of less than 1 second within 24 hours, and the network time error is less than 5 seconds;

[0049] Optionally, the number of camera pixels of the image sensor is not less than 2 million, the image resolution is not less than 1920×1080, and the number of preset positions is not less than 8;

[0050] Optionally, the number of pixels of the video sensor camera is not less than 1.3 million, the optical zoom ratio is not less than 18 times, and the preset positions are not less than 8;

[0051] Optionally, the wind speed sensor has a measurement range of 0 to 60 m / s, with an error of ±(0.5+0.03υ) m / s, where υ is a standard wind speed value;

[0052] Optionally, the wind direction sensor has a measurement range of 0 to 360 degrees with an error of ±5 degrees.

[0053] Optionally, the measurement range of the tilt sensor is -70 to +70 degrees, with an error of ±0.1 degrees (-60 to +60 degrees) and ±0.3 degrees (other ranges).

[0054] As an optional embodiment, image and video monitoring sensors can be deployed in areas prone to external damage, fire, and rapid tree growth.

[0055] As an optional embodiment, wind speed and direction monitoring sensors can be deployed in micro-topography and micro-meteorological areas, in areas without meteorological stations or in blind spots where meteorological stations are not available, or in other areas where comprehensive meteorological parameters need to be collected;

[0056] As an optional embodiment, inclination monitoring sensors may be deployed in goaf areas, subsidence areas, and poor geological areas. Step S2: Install a data processing unit for power transmission monitoring on a power transmission line tower.

[0057] Alternatively, the data processing unit may be an interactive set of monitoring sensors, wireless channels and different data processing units, with boundaries determined by logical or physical interfaces.

[0058] Optionally, the data processing unit adopts an automatic collection mode to collect, process and store the power transmission monitoring data at predetermined time intervals.

[0059] Optionally, the data processing unit may remotely transmit the power transmission monitoring data to a power transmission monitoring master station system.

[0060] As an optional embodiment, the data processing unit should be able to respond to control commands of the power transmission monitoring master station system, including modifying sampling time, calibrating system time, retrieving historical data, uploading real-time collected data, etc.

[0061] As an optional embodiment, the data processing unit should adopt an automatic collection mode to collect, process and store the power transmission monitoring data at predetermined time intervals.

[0062] As an optional embodiment, the data processing unit should have functions such as low voltage protection, automatic sleep and wake-up, and power-off data protection.

[0063] As an optional embodiment, the data processing unit should send a heartbeat packet to the power transmission monitoring master station system, which can indicate that the system is online and maintains a communication connection.

[0064] Step S3: constructing a multi-hop self-organizing network for monitoring power transmission lines in accordance with the self-organizing mode of wireless sensor networks; the multi-hop self-organizing network for monitoring power transmission lines includes channel environment monitoring sensors, line body monitoring sensors and a data processing unit.

[0065] Channel environment monitoring sensors and line body monitoring sensors are the end-point entities that transmit monitoring data to the physical layer interface of the access point via wireless transmission media, acting as stations (STAs). The data processing unit is the intermediate entity that receives distributed service monitoring data from associated stations via wireless transmission media, acting as access points (APs). The wireless channel is a wireless transmission medium using radio waves, including File Transfer Protocol (FTP), Hypertext Transfer Protocol Secure (HTTPS), Real Time Transport Protocol (RTP), and Real Time Streaming Protocol (RTSP).

[0066] The data transmission protocol of the multi-hop ad hoc network for transmission line monitoring specifies basic data transmission functions, frame structure, message content, transmission rules and verification algorithm; the message content includes monitoring data messages, control and configuration data messages, remote image messages and working status messages.

[0067] As an optional embodiment, in the wireless channel from the online site to the access point on the tower, discrete information such as wind speed, wind direction, and tilt angle can be transmitted using WLAN or Zigbee wireless transmission technology, and continuous information such as images and videos can be transmitted using WLAN wireless transmission technology.

[0068] As an optional embodiment, data transmission adopts a data frame mode, and the frame structure includes a message header, message length, monitoring device ID, frame type, message type, frame sequence number, message content, check bit, and message tail, and the transmission sequence is a binary byte stream.

[0069] Step S4: downloading the self-checking program for the transmission line monitoring data transmission into the data processing unit in a slave and master topology manner, and starting the self-checking program.

[0070] Optionally, the power grid enterprise remotely downloads the self-checking program in the vSphere virtualization platform operating environment;

[0071] Optionally, the downloading mode includes two modes: initial downloading and update downloading, and the startup loading and boot loading self-checking program can be selected.

[0072] Step S5: The data processing unit uses a baseline analysis method to monitor data flow within a time window to diagnose whether there is network congestion or delay in the multi-hop ad hoc network monitoring the transmission line. This specifically includes the following steps:

[0073] Step S51: Set the time granularity within the time window to 5 minutes, and the time window range to the latest 24 hours.

[0074] Step S52 counts and records the data flow of different binary networks in the multi-hop ad hoc network for the monitoring data from the five types of sensors: transmission line image, video, wind speed, wind direction, and tilt. The binary networks are composed of different sites and access points. Specifically, the binary networks are composed of five different types of sites (transmission line image, video, wind speed, wind direction, and tilt monitoring) and a data processing unit access point.

[0075] Step S53 : The data traffic of different binary networks within the time window is grouped into m groups of data with T=30 minutes, where m=24×60 / T; in this embodiment, m=48.

[0076] Step S54, with N=10 time windows as the calculation period, then within a certain calculation period, the data group of each binary network will contain M=N×m=480 time granularity flow data, set as x1, x2, x3, ..., x 480 .

[0077] Step S55: Use the interquartile range (IQR) method to count the flow data of each grouping unit, describe the upper quartile Q3 (75%) and the lower quartile Q1 (25%), and obtain the maximum data flow value V max and minimum data flow value V min .

[0078] Maximum data flow value V max and minimum data flow value V min is calculated as follows:

[0079] V max =Q3+3(Q3-Q1);

[0080] V min =Q1-3(Q3-Q1).

[0081] Step S56, remove the data flow interval [V min , V max ], and obtain n segments of group unit flow data y1, y2, y3, ..., y n ; where n<480.

[0082] Step S57, calculate the mean μ of each new grouping unit flow and the sample standard deviation σ of the new grouping unit flow. Where:

[0083] Step S58: Obtain the mean flow rate of the M grouping units and the standard deviation of the flow samples within the calculation period to describe the monitoring data flow baseline.

[0084] In step S59, the data processing unit updates and calculates the data flow baseline in the most recent calculation period on a daily basis.

[0085] Step S510: The data processing unit checks the real-time traffic V of the data packet of the binary network at time t. t Is it in [μ k -3σ k , μ k +3σ k ] within the normal range, determine whether there is an abnormality, where μ k , σ k are the mean flow rate and standard deviation of flow rate samples of the data flow baseline corresponding to the group unit k at time t; if V t In the normal interval, the real-time traffic V of the data packet of the binary network at time t is represented t Normal; otherwise, the real-time traffic V of the data packet of the binary network at time t is determined. t abnormal.

[0086] Step S511: When the data processing unit determines the real-time flow rate V t When abnormal, it is considered that there is network congestion and delay in the transmission line monitoring multi-hop ad hoc network.

[0087] In step S6, when the multi-hop ad hoc network for monitoring power transmission lines experiences network congestion or latency, the data processing unit sends a working status message regarding the fault to the power transmission monitoring master station system and outputs the corresponding monitoring data loss rate. The monitoring data loss rate is the ratio of the amount of data measured to the amount of data that should be measured within a data sampling period, expressed as a percentage.

[0088] As an optional embodiment, the data transmission of the transmission line monitoring multi-hop ad hoc network complies with the communication network provisions of GB / T 25095 "Overhead Transmission Line Operation Status Monitoring System" and GB / T 35697 "General Technical Specifications for Overhead Transmission Line Online Monitoring Devices", and processes, aggregates and sends the data to the transmission monitoring master station system deployed in the provincial power grid production command center in accordance with established requirements;

[0089] As an optional embodiment, the access point should use an APN private network to remotely transmit the power transmission monitoring data to the power transmission monitoring master station system.

[0090] As an optional embodiment, the data exchange, customized protocol, deployment architecture, data transmission security specifications, and protection mechanism of the data link between the access point and the power transmission monitoring master station system should comply with the provisions of Q / CSG 1210017 "Technical Specifications for Internal and External Network Data Security Exchange Platform", Q / CSG 1210007 "Data Transmission Security Standard", and Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems".

[0091] In addition, the system structure of the multi-hop self-organizing network for transmission line monitoring should comply with the provisions of NB / T 10977 "Design Code for Online Monitoring of Transmission Lines"; the basic functions, frame structure, message content, transmission rules, etc. of the transmission line monitoring data transmission protocol should comply with the provisions of GB / T 35697 "General Technical Specifications for Online Monitoring Devices for Overhead Transmission Lines".

[0092] As an optional embodiment, the alarm data delay of the transmission line monitoring multi-hop self-organizing network is less than 5 milliseconds; the wireless self-synchronization collection accuracy is better than 1 microsecond; the wireless multi-hop transmission rate is not less than 30 hops, the transmission rate between two nodes after multi-hop is not less than 2.5 megabits per second, and the self-healing time is less than 28 seconds.

[0093] As an optional embodiment, the wireless sensor network design should comply with the provisions of GB / T 51419 "Wireless LAN Engineering Design Standard", support the hiding function of the Service Set Identifier (SSID), and adopt a 192-bit encryption security authentication mechanism.

[0094] As an optional embodiment, the site and access point should use a built-in antenna with good packaging and meet the corona and electromagnetic interference test requirements of the corresponding level.

[0095] As an optional embodiment, the data processing unit is a classification of sequential logic digital integrated circuits, and optional components include a microprocessor unit (MPU), a microcontroller unit (MCU), a digital signal processor (DSP), a field programmable gate array (FPGA), a single-chip microcomputer (SBC), a flash memory (EEPROM), a random access memory (RAM), an integrated circuit bus (IIC), a serial peripheral interface (SPI), an advanced reduced instruction set computer (ARM), and is used to run a self-checking program for transmission line monitoring data transmission.

[0096] During the construction and application of the multi-hop self-organizing network system master station for transmission line monitoring data, power grid companies carry out system design, device installation, and system application in accordance with established requirements.

[0097] System design: The Electric Power Survey and Design Institute selects and deploys a multi-hop self-organizing network for monitoring transmission lines based on the urgency and necessity of on-site application scenarios. First, for wind speed and direction sensors, priority is given to checking special areas with extremely high wind speeds in the wind zone distribution map, straight tower suspension strings or tension tower jumpers where wind-induced discharges have occurred, spans where wind speeds are excessively high all year round and perpendicular to the prevailing wind direction, typical micro-topography areas, and areas prone to creeping winds. Secondly, for image and video sensors, priority is given to checking application scenarios in areas prone to external damage (illegal construction, mountain blasting, crane construction, and other areas prone to external damage), fire-prone areas, ice-prone areas, areas prone to tree (bamboo) growth in passages, remote and inaccessible areas, and other dangerous points on lines, as well as sections prone to defects. Again, for inclination sensors, priority should be given to checking unfavorable geological sections such as goafs, subsidence areas, soft soil areas, silt areas, landslide-prone areas, and weathered rock mountainous areas. Sections where tower tilt has been discovered and requires dynamic observation are also used in important line large-angle towers and terminal towers.

[0098] Because the multi-hop self-organizing network for transmission line monitoring is suitable for both line status monitoring and channel environmental status monitoring, in addition to line status monitoring, it can also be expanded to include ground wire icing monitoring, ground wire breeze vibration monitoring, conductor galloping monitoring, conductor temperature monitoring, conductor sag monitoring, wind deflection monitoring, on-site contamination monitoring, fault location monitoring, and tower tilt monitoring. In addition to image, video, wind speed, and wind direction monitoring for channel environmental status monitoring, it can also be expanded to include wildfire monitoring and geological disaster monitoring.

[0099] Device installation: The power transmission management office of the power supply bureau selects a suitable installation location and method based on the premise that the sensors and data processing units should comply with the relevant regulations and specifications of the line body design (electrical clearance, mechanical strength, etc.), and without affecting the normal operation, inspection and maintenance of the transmission line.

[0100] System Application: The Power Supply Bureau's Production Command Center, based on the full integration and utilization of existing monitoring resources, conducts planned, organized, and systematic monitoring and early warning activities. First, it monitors and observes the signs and dynamics of changes in transmission monitoring data, as well as their impact on the line itself and the channel environment. Second, through analysis and evaluation of transmission monitoring data, it predicts the time, location, and intensity of power equipment incidents. Based on the predictions, it issues corresponding alerts to the Power Supply Bureau's Transmission Management Office. Third, it adjusts the alert level based on the development of the emergency and the degree of hazard. This includes issuing a notice to lift the alert status when it is proven that a power equipment incident is unlikely to occur or the danger has been eliminated.

[0101] Abnormal diagnosis: The multi-hop self-organizing network system for monitoring data on transmission lines applies a self-checking method to detect network congestion and delay in data transmission, and issues alarm information to the power supply bureau's information center personnel when intrusion behavior or malicious code attacks are detected.

[0102] Example 2:

[0103] This embodiment provides a self-checking system for monitoring and transmitting data of a power transmission line, applying the method described above, including a plurality of channel environment monitoring sensors, a line body monitoring sensor, and a data processing unit; the channel environment monitoring sensors and the line body monitoring sensors serve as stations; the data processing unit serves as an access point and is connected to a plurality of different stations via wireless channels;

[0104] The site is used to collect transmission line monitoring data, including image, video, wind speed, wind direction, and tilt monitoring sensors; the access point is used to receive transmission line monitoring data from different sites through wireless channels, and diagnose whether there is network congestion or delay in the transmission line monitoring multi-hop self-organizing network through a baseline analysis method of monitoring data traffic within a time window. When there is network congestion or delay in the transmission line monitoring multi-hop self-organizing network, the data processing unit sends a working status message about fault information to the transmission monitoring master station system and outputs the corresponding monitoring data missing rate.

[0105] Images should be stored in a loop for at least 35 days, videos should be stored in a loop for at least 180 minutes, and wind speed, wind direction, and inclination angle data should be stored in a loop for at least 100 days; in the wireless channel from the online site to the access point on the tower, discrete information such as wind speed, wind direction, and inclination angle can use WLAN and Zigbee wireless transmission technology, and continuous information such as images and videos can use WLAN wireless transmission technology. The access point should use the APN private network to transmit the power transmission monitoring data remotely to the power transmission monitoring master station system.

[0106] Example 3:

[0107] This embodiment provides a computer-readable storage medium, which includes a stored program. When the program is running, the device where the computer-readable storage medium is located is controlled to execute the baseline analysis method for monitoring data flow within a time window in the self-checking method for monitoring data transmission on a power transmission line.

[0108] Example 4:

[0109] This embodiment provides a processor, which is used to run a program, wherein when the program is run, the method for analyzing baseline analysis of monitoring data flow within a time window in the self-checking method for monitoring data transmission of a power transmission line is executed.

[0110] Those skilled in the art will appreciate that the modules of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0111] In the embodiments provided by the present invention, it should be understood that the division of modules is merely a logical function division, and there may be other division methods in actual implementation, for example, multiple modules can be combined into one module, one module can be split into multiple modules, or some features can be ignored, etc.

[0112] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0113] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nly Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A self-checking method for monitoring data transmission of a power transmission line, characterized in that: The following steps are involved: Step S1: Install and deploy a number of channel environment monitoring sensors and line body monitoring sensors on the transmission line; Step S2, installing and deploying a data processing unit for power transmission monitoring on a power transmission line tower; Step S3: constructing a multi-hop ad hoc network for monitoring power transmission lines in a self-organizing manner of a wireless sensor network; the multi-hop ad hoc network for monitoring power transmission lines includes channel environment monitoring sensors, line body monitoring sensors, and a data processing unit; the channel environment monitoring sensors and line body monitoring sensors serve as stations; and the data processing unit serves as an access point connected to a plurality of different stations via wireless channels. Step S4, downloading the self-checking program for the transmission line monitoring data transmission into the data processing unit, and starting the self-checking program; Step S5: The data processing unit diagnoses whether there is network congestion or delay in the transmission line monitoring multi-hop ad hoc network by monitoring the data flow baseline analysis method within the time window; Step S6: When there is network congestion or delay in the transmission line monitoring multi-hop ad hoc network, the data processing unit sends a working status message about the fault information to the transmission line monitoring master station system and outputs the corresponding monitoring data missing rate.

2. A self-checking method for power transmission line monitoring data transmission according to claim 1, characterized in that: The channel environment monitoring sensor in step S1 includes an image monitoring sensor, a video monitoring sensor, a wind speed monitoring sensor, and a wind direction monitoring sensor; the line body monitoring sensor includes an inclination monitoring sensor.

3. A self-checking method for power transmission line monitoring data transmission according to claim 1, characterized in that: The wireless channel in step S3 includes File Transfer Protocol, Hypertext Transfer Protocol Secure, Real-time Transport Protocol, and Real-time Streaming Protocol.

4. A self-checking method for power transmission line monitoring data transmission according to claim 1, characterized in that: The data transmission protocol of the transmission line monitoring multi-hop ad hoc network in step S3 stipulates the basic data transmission functions, frame structure, message content, transmission rules and verification algorithm; the message content includes monitoring data messages, control and configuration data messages, remote image messages, and working status messages.

5. The self-checking method for monitoring data transmission of a power transmission line according to claim 1, characterized in that: The step S5 specifically includes the following steps: Step S51, set the time granularity within the time window to 5 minutes, and the time window range to the last 24 hours; Step S52: for monitoring data of different sensors on the power transmission line, respectively counting and recording data traffic of different binary networks in the multi-hop ad hoc network for monitoring the power transmission line, wherein the binary networks are composed of different sites and access points; Step S53: grouping the data traffic of different binary networks within the time window into m groups of data by T minutes, where m = 24 × 60 / T; Step S54: Taking N time windows as calculation period, the data packets of each binary network will contain M=N×m time granularity traffic data in a certain calculation period, which are x1, x2, x3, ..., x M ; Step S55: Use the interquartile range method to count the flow data of each grouping unit, describe the upper quartile Q3 and the lower quartile Q1 respectively, and obtain the maximum data flow value V max and minimum data flow value V min ; Step S56, remove the data flow interval [V min , V max ], and obtain n segments of group unit flow data y1, y2, y3, ..., y n ; where n <M; Step S57, calculating the mean μ of the flow rate of each new group unit and the sample standard deviation σ of the flow rate of the new group unit; Step S58, obtaining the mean flow rate of the M grouping units and the standard deviation of the flow rate samples within the calculation period, which are used to describe the monitoring data flow baseline; Step S59: The data processing unit updates and calculates the data flow baseline in the most recent calculation period on a daily basis; Step S510: The data processing unit checks the real-time traffic V of the data packet of the binary network at time t. t Is it in [μ k -3σ k , μ k +3σ k ] within the normal range, determine whether there is an abnormality, where μ k , σ k are the mean flow rate and standard deviation of flow rate samples of the data flow baseline corresponding to the group unit k at time t; if V t In the normal interval, the real-time traffic V of the data packet of the binary network at time t is represented t Normal; otherwise, the real-time traffic V of the data packet of the binary network at time t is determined. t abnormal; Step S511: When the data processing unit determines the real-time flow rate V t When abnormal, it is considered that there is network congestion and delay in the transmission line monitoring multi-hop ad hoc network.

6. A self-checking method for power transmission line monitoring data transmission according to claim 5, characterized in that: The maximum data flow value V in step S55 max and minimum data flow value V min is calculated as follows: V max =Q3+3(Q3-Q1); V min =Q1-3(Q3-Q1)。 7. A self-checking method for power transmission line monitoring data transmission according to claim 1, characterized in that: The monitoring data missing rate in step S6 is specifically the ratio of the amount of data measured within a period of time according to the data sampling period to the amount of data that should be measured, and is expressed as a percentage.

8. A self-checking system for monitoring data transmission of a power transmission line, characterized in that: The method according to any one of claims 1 to 7 comprises a plurality of channel environment monitoring sensors, line body monitoring sensors, and a data processing unit; the channel environment monitoring sensors and line body monitoring sensors serve as stations; the data processing unit serves as an access point and is connected to a plurality of different stations via wireless channels; The site is used to collect transmission line monitoring data; the access point is used to receive transmission line monitoring data from different sites through wireless channels, and diagnose whether there is network congestion or delay in the transmission line monitoring multi-hop self-organizing network through a monitoring data traffic baseline analysis method within a time window. When there is network congestion or delay in the transmission line monitoring multi-hop self-organizing network, the data processing unit sends a working status message about fault information to the transmission monitoring master station system and outputs the corresponding monitoring data missing rate.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the monitoring data flow baseline analysis method within the time window in the self-verification method for transmission line monitoring data transmission according to any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein when the program is run, the monitoring data flow baseline analysis method within the time window in the self-checking method for transmission line monitoring data transmission according to any one of claims 1 to 7 is executed.

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