A method for monitoring landslides in power transmission corridors based on overhead ground wire optical fiber towers

Abstract

The present invention discloses a method for monitoring landslides in power transmission corridors based on overhead ground wire optical fiber towers, including towers, 0PGW overhead ground wires and distributed tower tilt monitoring devices, as well as a background, a power transmission line online monitoring platform, an outsourcing system and a cluster center. In the present invention, a method for monitoring landslides in power transmission corridors using a distributed OPGW overhead ground wire optical fiber tower tilt sensor is provided, which uses the entire OPGW overhead ground wire optical fiber as a tilt sensor, combines local meteorological monitoring data, satellite high-definition image data, drone real-shot image data and geographic basic information, comprehensively monitors the tilt status of the entire transmission line tower, analyzes the cause of the tilt, and then realizes landslide early warning. It provides a comprehensive technical measure for the safe operation of power transmission lines, and at the same time can reduce a large amount of operation and maintenance inspection work under extreme meteorological conditions and ensure personal safety.

Description

Technical Field

[0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for monitoring landslides in a power transmission corridor based on an overhead ground wire optical fiber tower. Background Art

[0002] With the rapid development of the economy and society, land resources are becoming increasingly scarce. More and more tidal flats, low-lying areas and mountainous areas are being developed and utilized, and more transmission lines have to be built in these areas that are not suitable for construction. The operation of transmission lines in this area is easily affected by topography and geology, especially by landslides. Predicting the probability of landslides in the transmission corridor in advance and giving dangerous warnings have always been a difficult problem that the power sector has not yet solved. The existing transmission line tower monitoring method is "personnel patrol combined with tower tilt real-time monitoring terminal", that is, after extreme weather conditions occur, by observing the real-time monitoring data of tower tilt, personnel are sent to patrol along the line. This method is a passive, indirect and lagging monitoring method, which can neither quickly realize the early prediction of landslides nor the real-time monitoring of landslides along the entire transmission line, and at the same time brings a heavy patrol workload to the operation and maintenance personnel. Summary of the invention

[0003] The purpose of the present invention is to solve the technical problem that the existing transmission line tower monitoring method is "personnel patrol combined with tower tilt real-time monitoring terminal", which is a passive, indirect and lagging monitoring method, can neither quickly realize the advance prediction of landslides nor realize the real-time monitoring of landslides in the entire transmission line, and at the same time brings a heavy patrol workload to the operation and maintenance personnel. A method for monitoring landslides in transmission corridors based on overhead ground wire optical fiber towers is provided.

[0004] The technical solution adopted by the present invention is as follows: a method for monitoring landslides in a power transmission corridor based on an overhead ground wire optical fiber tower, comprising a tower, an 0PGW overhead ground wire and a distributed tower tilt monitoring device, and also comprising a background, an online monitoring platform for power transmission lines, an outsourcing system and a cluster center, characterized in that the method for monitoring landslides in a power transmission corridor is:

[0005] S1, the distributed tower tilt monitoring device uses a core optical fiber in the OPGW overhead ground wire as a sensor to monitor the tilt angle of the tower in real time;

[0006] S2, the distributed tower tilt monitoring device transmits data to the background, and the background is connected to the transmission line online monitoring platform at the same time, and the background receives the meteorological data and basic geological structure data of the transmission line online monitoring platform;

[0007] S3, the backend is connected with the external system, the backend pushes the longitude and latitude data to the external system, the external system returns the satellite-borne synthetic aperture radar high-definition image data to the backend, and the backend completes the comparative analysis of the image data;

[0008] S4, the backend is connected to the fleet center control system, and pushes the longitude and latitude data to the fleet center control system. The fleet center control system completes the autonomous cruise path planning of the UAV, and dispatches the UAV to conduct local aerial photography at medium and low altitudes to obtain high-definition image data;

[0009] S5. The backend system uses the satellite-borne synthetic aperture radar high-definition image data analysis results and the local high-definition image data taken by drones to comprehensively analyze the safety of the transmission line. It also uses weather forecast information to predict the probability of secondary landslides and give relevant disposal plan suggestions.

[0010] S6. Formulate a personnel inspection and emergency repair plan for transmission lines based on the emergency plan recommendations, emergency plan recommendations and personnel inspection and emergency repair plan.

[0011] Among them, the distributed pole tower tilt monitoring device uses optical fiber as a sensor to monitor the stress changes of the entire OPGW overhead ground wire in real time, and converts the inclination angle of the transmission line tower through the stress change. The device monitoring data is connected to the intranet through the network port and pushed to the management background.

[0012] Among them, when the distributed pole tower tilt monitoring device detects abnormal data, the background imports local meteorological monitoring data, retrieves geographical basic information for comprehensive analysis, analyzes the causes of pole tower tilt and settlement and the probability of landslides, and gives an early warning. At the same time, the early warning information is pushed to relevant personnel in the form of text messages.

[0013] Wherein, the steps of comparative analysis are:

[0014] D1. Extract landslide information in the transmission corridor area using SAR images, including small landslides and micro-deformation information;

[0015] D2, Extraction of vegetation coverage information from SAR images;

[0016] D3, extraction of bare soil area in SAR images;

[0017] D4. Extract water areas from SAR images to extract flood disaster information.

[0018] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0019] 1. In the present invention, when extreme weather conditions occur, the background monitors the inclination of the tower through a distributed tower inclination monitoring device, combines the local meteorological monitoring data of the transmission line online monitoring platform and the basic information of geological structure to comprehensively analyze the cause and probability of landslides and give early warnings, providing a comprehensive technical measure for the safe operation of the transmission line.

[0020] 2. In the present invention, after extreme weather conditions occur, the background pushes the longitude and latitude position information to the external cooperation system, retrieves the satellite-borne synthetic aperture radar high-definition image data, and simultaneously links the cluster center to dispatch drones to conduct local aerial photography to obtain image data. The safety of the power transmission line is analyzed through macro and local high-definition image data, and the weather forecast information of the transmission line online monitoring platform is combined to predict the probability of secondary landslides (or secondary disasters), and give relevant disposal plan suggestions, which can reduce a lot of operation and maintenance inspection work under extreme weather conditions and ensure personal safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flowchart of the method for monitoring landslides in power transmission corridors based on overhead ground wire optical fiber towers of the present invention;

[0022] Figure 2 A flowchart of the proposed treatment plan in the present invention is provided;

[0023] Figure 3 It is the working principle diagram of the present invention;

[0024] Figure 4 This is a flowchart of the preprocessed full-polarization SAR image processing in the present invention.

[0025] Markings in the figure: 1. Pole tower; 2. OPGW overhead ground wire; 3. Distributed pole tower tilt monitoring device; 4. Backstage; 5. Transmission line online monitoring platform; 6. Outsourcing system; 7. Cluster center. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0027] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention; the terms "first", "second", and "third" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance; in addition, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] Embodiment 1, refer to Figure 1-4 A method for monitoring landslides in a transmission corridor based on an overhead ground wire optical fiber tower includes a tower 1, an 0PGW overhead ground wire 2, and a distributed tower tilt monitoring device 3, and also includes a background 4, a transmission line online monitoring platform 5, an outsourcing system 6, and a cluster center 7. The method for monitoring landslides in a transmission corridor is as follows:

[0029] S1, the distributed tower tilt monitoring device 3 uses a core optical fiber in the OPGW overhead ground wire 2 as a sensor to monitor the tilt angle of the tower 1 in real time;

[0030] S2, the distributed tower tilt monitoring device 3 transmits data to the background 4, and the background 4 is connected to the transmission line online monitoring platform 5 at the same time, and the background 4 receives the meteorological data and geological structure basic data of the transmission line online monitoring platform 5;

[0031] S3, the backend 4 is connected with the external cooperation system 6, the backend 4 pushes the longitude and latitude data to the external cooperation system 6, the external cooperation system 6 returns the satellite-borne synthetic aperture radar high-definition image data to the backend 4, and the backend 4 completes the comparative analysis of the image data;

[0032] S4, the backend 4 is connected to the control system of the fleet center 7, and pushes the longitude and latitude data to the control system of the fleet center 7. The control system of the fleet center 7 completes the autonomous cruising path planning of the UAV, and dispatches the UAV to perform local aerial photography at medium and low altitudes to obtain high-definition image data;

[0033] S5, the backend 4 system uses the satellite-borne synthetic aperture radar high-definition image data analysis results and the drone aerial local high-definition image data to comprehensively analyze the safety of the transmission line. It also combines weather forecast information to predict the probability of secondary landslides or secondary disasters and give relevant disposal plan suggestions;

[0034] S6. Formulate a personnel inspection and emergency repair plan for transmission lines based on the emergency plan recommendations, emergency plan recommendations and personnel inspection and emergency repair plan.

[0035] The local high-definition image data of drone aerial photography is mainly used for: local high-definition image shooting of the comparative analysis results of satellite-borne synthetic aperture radar high-definition image data (location and range of landslides); high-definition tower base shooting of power transmission lines (especially power transmission towers) within a radius of three kilometers. Function: landslide confirmation and disaster statistics; whether there are cracks, collapses or uprooting of the tower base of the transmission lines within the scope of the landslide (three kilometers around the monitoring point); providing first-hand image data for on-site investigation and emergency repair (and disposal plan suggestions) for the dispatched personnel, and predicting the probability of secondary landslides (or secondary disasters) in combination with weather forecast information: this only refers to the fact that after a landslide has occurred, the future weather forecast has heavy to torrential rain (rainfall of more than 50mm), and the system will determine that the probability of secondary landslides (or secondary disasters) is 100%, and personal safety will be given priority in the disposal plan suggestions.

[0036] Example 2, refer to Figure 1 and Figure 4 The distributed pole tower tilt monitoring device 3 uses optical fiber as a sensor to monitor the stress changes of the entire OPGW overhead ground wire 2 in real time, and converts the inclination angle of the transmission line tower 1 through the stress change. The device monitoring data is connected to the intranet through the network port and pushed to the management background 4.

[0037] Example 3, refer to Figure 1-3 When the distributed tower tilt monitoring device 3 detects abnormal data (tilt angle ≥ 5 degrees), the background 4 imports local meteorological monitoring data (rainfall, wind speed, wind direction, temperature and humidity data of the existing micro-meteorological online monitoring device through the transmission line online monitoring platform, among which rainfall is the main reference data), retrieves the geographical basic information (through the existing line corridor geographical basic information in the transmission GIS system, including: rock and soil type, geological structure, vegetation, groundwater distribution, mining area) for comprehensive analysis, analyzes the cause of the tilt and settlement of the tower 1 and the probability of landslide, and gives an early warning. At the same time, the early warning information is pushed to relevant personnel in the form of text messages (text message content: tilted tower number, tower tilt angle, surrounding meteorological conditions and probability of landslide).

[0038] The basic geographic information includes:

[0039] Rock and soil types: Rock and soil are the material basis for landslides. Landslides are easily classified into two categories: (1) rock, including shale, mudstone, coal-bearing strata, tuff, schist, slate, and phyllite; (2) soil, including loess, red clay, and gravel soil;

[0040] Geological structure: whether it is located in an earthquake zone or fault layer; whether it has a slope with a certain gradient.

[0041] Vegetation coverage: Calculation method: High-definition image data taken by satellite or drone is used to perform band calculation according to (NDVI=(NIR-R) / (NIR+R), NIR is the reflectance value of the near-infrared band, R is the reflectance value of the red light band) to calculate the normalized vegetation index NDVI;

[0042] Fc=(NDVI-NDVIsoil) / (NDVIveg-NDVIsoil)

[0043] NDVIsoil: NDVI value of bare soil

[0044] NDVIveg: NDVI value of high coverage

[0045] Fc: vegetation coverage, classification standard: bare land <10% low coverage <10%-30% medium-low coverage <30%-45% medium coverage <45%-60% high coverage >60%;

[0046] Groundwater distribution: whether there is groundwater;

[0047] Mining Area: Whether it is in a mining area.

[0048]

[0049] Embodiment 4, referring to Figure 4 , the steps of comparative analysis are:

[0050] D1. Extract landslide information in the transmission corridor area using SAR images, including small landslides and micro-deformation information;

[0051] D2, Extraction of vegetation coverage information from SAR images;

[0052] D3, extraction of bare soil area in SAR images;

[0053] D4. Extract water areas from SAR images to extract flood disaster information.

[0054] Land feature classification based on fully polarimetric SAR data is one of the most important applications of radar polarization in the field of remote sensing. According to the formation mechanism of landslides, the landslide surface is generally covered with a certain amount of vegetation before a large-scale landslide occurs, and the landslide surface is bare soil after the landslide occurs. At the same time, the grayscale and texture features of the surface have also changed. Therefore, fully polarimetric data is used to identify the vegetation bare soil areas before and after the landslide in the satellite-borne synthetic aperture radar high-definition image data, and combined with the grayscale and texture features for analysis to verify whether a landslide has occurred and the scope of the occurrence.

[0055] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring landslides in a power transmission corridor based on an overhead ground wire optical fiber tower, comprising a tower (1), an 0PGW overhead ground wire (2) and a distributed tower tilt monitoring device (3), and also comprising a backend (4), a power transmission line online monitoring platform (5), an outsourcing system (6) and a cluster center (7), characterized in that: The monitoring method of the landslide in the transmission corridor is as follows: S1, a distributed pole tower tilt monitoring device (3) uses a core optical fiber in the OPGW overhead ground wire (2) as a sensor to monitor the tilt angle of the pole tower (1) in real time; S2, the distributed tower tilt monitoring device (3) transmits data to the background (4), the background (4) is simultaneously connected to the transmission line online monitoring platform (5), and the background (4) receives the meteorological data and geological structure basic data from the transmission line online monitoring platform (5); S3, the backend (4) is connected to the external system (6), the backend (4) pushes the longitude and latitude data to the external system (6), the external system (6) returns the satellite-borne synthetic aperture radar high-definition image data to the backend (4), and the backend (4) completes the comparative analysis of the image data; S4, the backend (4) is connected to the control system of the swarm center (7), and the longitude and latitude data are pushed to the control system of the swarm center (7). The control system of the swarm center (7) completes the autonomous cruising path planning of the UAV, and dispatches the UAV to carry out local aerial photography at medium and low altitudes to obtain high-definition image data; S5. Backstage (4) The system uses the satellite-borne synthetic aperture radar high-definition image data analysis results and the local high-definition image data taken by drones to comprehensively analyze the safety of the power transmission lines. It also uses weather forecast information to predict the probability of secondary landslides (or secondary disasters) and gives relevant disposal plan recommendations. S6. Formulate personnel inspection and emergency repair plans for transmission lines based on the disposal plan recommendations, emergency plan recommendations and personnel inspection and emergency repair plans; The distributed pole tower tilt monitoring device (3) uses optical fiber as a sensor to monitor the stress change of the entire OPGW overhead ground wire (2) in real time, and converts the stress change into the tilt angle of the transmission line pole tower (1). The monitoring data of the device is connected to the intranet through the network port and pushed to the management background (4); When the distributed pole tower tilt monitoring device (3) detects abnormal data, the background (4) imports local meteorological monitoring data, retrieves geographic basic information for comprehensive analysis, analyzes the cause of the pole tower (1) tilt and settlement and the probability of landslide, and gives a warning, and pushes the warning information to relevant personnel in the form of a text message; The steps of the comparative analysis are: D1. Extract landslide information in the transmission corridor area using SAR images, including small landslides and micro-deformation information; D2, Extraction of vegetation coverage information from SAR images; D3, extraction of bare soil area in SAR images; D4, SAR image water area extraction, to achieve the extraction of flood disaster information; When extreme weather conditions occur, the backend monitors the tilt of the towers through distributed tower tilt monitoring devices, combines local meteorological monitoring data from the online monitoring platform of the transmission lines with basic geological structure information to comprehensively analyze the causes and probability of landslides and issue warnings; After extreme weather conditions occur, the background pushes the longitude and latitude location information to the external cooperation system, retrieves the high-definition image data of the satellite-borne synthetic aperture radar, and simultaneously links with the cluster center to dispatch drones to conduct local aerial photography to obtain image data. The safety of the transmission line is analyzed through macro and local high-definition image data, and the weather forecast information of the transmission line online monitoring platform is combined to predict the probability of a secondary landslide, and give relevant disposal plan suggestions.

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