WO2020232608A1 - Procédé, appareil et système de diagnostic de dispositif de transmission et de distribution, dispositif informatique, support, et produit - Google Patents

Procédé, appareil et système de diagnostic de dispositif de transmission et de distribution, dispositif informatique, support, et produit Download PDF

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Publication number
WO2020232608A1
WO2020232608A1 PCT/CN2019/087652 CN2019087652W WO2020232608A1 WO 2020232608 A1 WO2020232608 A1 WO 2020232608A1 CN 2019087652 W CN2019087652 W CN 2019087652W WO 2020232608 A1 WO2020232608 A1 WO 2020232608A1
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WO
WIPO (PCT)
Prior art keywords
point cloud
distribution equipment
power transmission
transmission
diagnosis
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Application number
PCT/CN2019/087652
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English (en)
Chinese (zh)
Inventor
李昂
李晶
刘浩
王丹
华文韬
Original Assignee
西门子股份公司
西门子（中国）有限公司
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Application filed by 西门子股份公司, 西门子（中国）有限公司 filed Critical 西门子股份公司
Priority to PCT/CN2019/087652 priority Critical patent/WO2020232608A1/fr
Priority to CN201980095970.5A priority patent/CN113767409A/zh
Publication of WO2020232608A1 publication Critical patent/WO2020232608A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Definitions

  • the present disclosure generally relates to the field of power equipment, and more specifically, to diagnostic methods, devices, systems, computing equipment, media, and products for power transmission and distribution equipment.
  • Synthetic Aperture Radar SAR
  • SAR Synthetic Aperture Radar
  • Optical images can be produced by different methods.
  • One is satellite. Satellite images are also suitable for large-scale analysis, but they are greatly affected by the weather.
  • the most common method is to take photos during aerial inspections by both manned aircraft and unmanned aerial vehicles (UAVs). The resolution of the aerial image may reach 1 cm (from a helicopter) and can capture the power line components that you want to inspect or monitor.
  • UAVs unmanned aerial vehicles
  • 3D (three-dimensional) models of parts cannot be obtained from these images, which means that some information will be lost in the process, or more images need to be taken at a high cost in order to check small problems inside complex 3D structures.
  • Thermal image which can show the relative temperature difference in the grid network.
  • thermal images have not been widely used in industry.
  • image combined with some computational image processing algorithms can identify some larger components or structures of the power grid to some extent, such as bird cages on power poles or objects entangled with overhead lines. There are certain difficulties in the inspection of smaller and specific parts or objects.
  • the present disclosure proposes a method, device, and system for power transmission and distribution equipment diagnosis.
  • a 3D point cloud model reconstructed based on point cloud data is Analysis of electrical equipment can accurately diagnose defects in transmission and distribution equipment.
  • this method requires very little manpower to obtain and analyze a large amount of data, which improves the inspection efficiency of power transmission and distribution equipment, and correspondingly reduces manpower costs.
  • a method for diagnosing power transmission and distribution equipment including: acquiring point cloud data of the power transmission and distribution equipment; performing three-dimensional reconstruction on the point cloud data to construct a three-dimensional point cloud of the power transmission and distribution equipment Model; and performing defect diagnosis on the transmission and distribution equipment based on the three-dimensional point cloud model.
  • performing defect diagnosis on the transmission and distribution equipment based on the three-dimensional point cloud model includes: comparing the three-dimensional point cloud model with a design model of the transmission and distribution equipment To perform defect diagnosis, and/or input the three-dimensional point cloud model into a pre-trained machine learning model to perform defect diagnosis.
  • the point cloud data is captured by laser scanning the power transmission and distribution equipment by a laser scanning device integrated on the drone.
  • the transmission and distribution equipment can be easily scanned from all angles to comprehensively capture the point cloud data of the transmission and distribution equipment.
  • the machine learning model is obtained by deep learning using sample data of power transmission and distribution equipment as training data.
  • the machine learning model obtained in advance can be used to automatically analyze the 3D point cloud model of the power transmission and distribution equipment for defect diagnosis, thereby saving labor costs.
  • the transmission and distribution equipment includes at least one of the following: overhead lines, power poles, and accessory components.
  • an apparatus for diagnosing transmission and distribution equipment including: an acquisition unit configured to acquire point cloud data of the transmission and distribution equipment; and a construction unit configured to perform three-dimensional reconstruction on the point cloud data. Structure to construct a three-dimensional point cloud model of the power transmission and distribution equipment; and a diagnosis unit configured to perform defect diagnosis on the power transmission and distribution equipment based on the three-dimensional point cloud model.
  • the diagnosis unit is further configured to: compare the three-dimensional point cloud model with the design model of the power transmission and distribution equipment for defect diagnosis, and/or compare the The three-dimensional point cloud model is input into a machine learning model obtained by pre-training for defect diagnosis.
  • the point cloud data is captured by laser scanning of the power transmission and distribution equipment by a laser scanning device integrated on the drone.
  • the machine learning model is obtained by deep learning using sample data of power transmission and distribution equipment as training data.
  • the transmission and distribution equipment includes at least one of the following: overhead lines, power poles, and accessory components.
  • a power transmission and distribution equipment diagnosis system including: a laser scanning device configured to capture point cloud data of the power transmission and distribution equipment by laser scanning the transmission and distribution equipment; and A diagnostic device for power transmission and distribution equipment according to the above, wherein the diagnostic device for power transmission and distribution equipment obtains the point cloud data from the laser scanning device, and performs three-dimensional reconstruction of the point cloud data to construct the transmission and distribution equipment A three-dimensional point cloud model of the electrical equipment, and performing defect diagnosis on the transmission and distribution equipment based on the three-dimensional point cloud model.
  • a computing device including: at least one processor; and a memory coupled with the at least one processor, the memory is used to store instructions, when the instructions are When at least one processor executes, the processor is caused to execute the method described above.
  • a non-transitory machine-readable storage medium which stores executable instructions, which when executed cause the machine to perform the method as described above.
  • a computer program product that is tangibly stored on a computer-readable medium and includes computer-executable instructions that, when executed, cause at least A processor executes the method described above.
  • Fig. 1 shows a flowchart of an exemplary process of a method for diagnosing power transmission and distribution equipment according to an embodiment of the present disclosure
  • FIG. 2 is a block diagram showing an exemplary configuration of a power transmission and distribution equipment diagnosis device according to an embodiment of the present disclosure
  • Fig. 3 is a block diagram showing an exemplary configuration of a power transmission and distribution equipment diagnosis system according to an embodiment of the present disclosure.
  • FIG. 4 shows a block diagram of a computing device for performing diagnosis of power transmission and distribution equipment according to an embodiment of the present disclosure.
  • the term “including” and its variants means open terms, meaning “including but not limited to.”
  • the term “based on” means “based at least in part on.”
  • the terms “one embodiment” and “an embodiment” mean “at least one embodiment.”
  • the term “another embodiment” means “at least one other embodiment.”
  • the terms “first”, “second”, etc. may refer to different or the same objects. Other definitions can be included below, either explicit or implicit. Unless clearly indicated in the context, the definition of a term is consistent throughout the specification.
  • the present disclosure proposes a technical solution that can realize intelligent inspection and diagnosis of power transmission and distribution equipment based on a point cloud model, which can solve the above-mentioned problems in the prior art.
  • FIG. 1 shows a flowchart of an exemplary process of a method 100 for diagnosing a power transmission and distribution equipment according to an embodiment of the present disclosure.
  • the point cloud data of the power transmission and distribution equipment is acquired.
  • a laser scanning device integrated on a UAV (Unmanned Aerial Vehicle) or other equivalent devices can be used to perform laser scanning on the power transmission and distribution equipment to capture the point cloud data of the power transmission and distribution equipment.
  • UAV Unmanned Aerial Vehicle
  • the power transmission and distribution equipment can be easily scanned from various angles to comprehensively capture the point cloud data of the power transmission and distribution equipment.
  • the server may obtain the point cloud data from the UAV in a wired or wireless manner, and process the point cloud data in the server.
  • the UAV can also use existing navigation model algorithms to perform automatic path navigation and obstacle avoidance of the UAV based on the obtained point cloud data, so as to achieve efficient and effective routing of the UAV along the transmission and distribution corridor.
  • the navigation model algorithm can be customized by a person skilled in the art with a large amount of overhead power line knowledge, and will not be repeated here.
  • block S104 perform three-dimensional reconstruction on the point cloud data to construct a three-dimensional point cloud model of the power transmission and distribution equipment.
  • 3D (three-dimensional) reconstruction technology can be applied to reconstruct the 3D models of the overhead lines, power towers, and auxiliary components in the transmission and distribution corridor.
  • the accessory components can be, for example, screws, nuts, bolts, wires and other components on power poles and overhead lines.
  • One method is to determine possible problems with the power transmission and distribution equipment by comparing the constructed 3D point cloud model with the original 3D design model when the original 3D design model of the power transmission and distribution equipment is available. For example, by comparing the 3D point cloud model with the original 3D design model, the type and/or model of transmission and distribution equipment can be determined. For example, power poles may have multiple types and models. After determining the specific type or model, It can be more convenient and accurate to determine its possible problems.
  • Another method in the absence of the original 3D design model but only the 3D point cloud model, can also perform detailed inspection and diagnosis of the transmission and distribution equipment.
  • it is necessary to collect a large number of sample data of power transmission and distribution equipment in advance as a training data set, perform target recognition, feature extraction and classification, and perform deep learning to obtain a machine that can diagnose defects in power transmission and distribution equipment.
  • Learning model The machine learning model can be used to diagnose defects in the constructed 3D point cloud model.
  • the method according to the embodiments of the present disclosure can not only be used for defect diagnosis of power transmission and distribution equipment, but also can be applied to, for example, wireless communication base stations, steel structure supports of high-height factory equipment, scaffolding, etc. High-altitude equipment.
  • the method according to the embodiment of the present disclosure can inspect a large number of overhead lines, power poles, auxiliary components, etc. in the T&D network with high accuracy.
  • some components or structures may be too complicated to be explained by images.
  • the 3D point cloud model reconstructed from the point cloud data contains enough information for analysis, so that the transmission and distribution equipment can be accurately diagnosed.
  • this method requires very little manpower to obtain and analyze a large amount of data, which improves the inspection efficiency of power transmission and distribution equipment, and correspondingly reduces manpower costs.
  • FIG. 2 is a block diagram showing an exemplary configuration of a power transmission and distribution equipment diagnosis apparatus 200 according to an embodiment of the present disclosure.
  • the power transmission and distribution equipment diagnosis apparatus 200 includes: an acquisition unit 202, a construction unit 204 and a diagnosis unit 206.
  • the obtaining unit 202 is configured to obtain point cloud data of the power transmission and distribution equipment.
  • the construction unit 204 is configured to perform three-dimensional reconstruction on the point cloud data to construct a three-dimensional point cloud model of the power transmission and distribution equipment.
  • the diagnosis unit 206 is configured to perform defect diagnosis on the power transmission and distribution equipment based on the three-dimensional point cloud model.
  • diagnosis unit is further configured to: compare the three-dimensional point cloud model with the design model of the power transmission and distribution equipment for defect diagnosis, and/or input the three-dimensional point cloud model into pre-trained Machine learning model for defect diagnosis.
  • the point cloud data is captured by laser scanning of the power transmission and distribution equipment by a laser scanning device integrated on the UAV.
  • the obtaining unit 202 may obtain the point cloud data from the UAV in a wired or wireless manner.
  • the machine learning model is obtained by deep learning using a large number of sample data of power transmission and distribution equipment as training data.
  • the power transmission and distribution equipment includes at least one of the following: overhead lines, power towers and auxiliary components.
  • each part of the power transmission and distribution equipment diagnosis apparatus 200 may be the same or similar to the relevant parts of the embodiment of the power transmission and distribution equipment diagnosis method of the present disclosure described with reference to FIG. 1, and will not be described in detail here.
  • FIG. 3 is a block diagram showing an exemplary configuration of a power transmission and distribution equipment diagnosis system 300 according to an embodiment of the present disclosure.
  • the power transmission and distribution equipment diagnosis system 300 may include a laser scanning device 302 and a transmission and distribution equipment diagnosis device 200 as described above.
  • the laser scanning device 302 performs laser scanning on the power transmission and distribution device to capture point cloud data of the power transmission and distribution device.
  • the power transmission and distribution equipment diagnosis device 200 obtains point cloud data from the laser scanning device 302, performs three-dimensional reconstruction of the point cloud data to construct a three-dimensional point cloud model of the power transmission and distribution equipment, and analyzes the transmission and distribution equipment based on the three-dimensional point cloud model. Defect diagnosis of electrical equipment.
  • each part of the power transmission and distribution equipment diagnosis system 300 may be the same or similar to the relevant parts of the embodiment of the power transmission and distribution equipment diagnosis method and apparatus of the present disclosure described with reference to FIGS. 1 and 2, for example, No detailed description here.
  • diagnosis method, device, and system for power transmission and distribution equipment As above, referring to FIGS. 1 to 3, the diagnosis method, device, and system for power transmission and distribution equipment according to the present disclosure are described.
  • the above diagnosis device for power transmission and distribution equipment can be implemented by hardware, software or a combination of hardware and software.
  • the power transmission and distribution equipment diagnosis apparatus 200 may be implemented using a computing device.
  • FIG. 4 shows a block diagram of a computing device 400 for performing power transmission and distribution equipment diagnosis according to an embodiment of the present disclosure.
  • the computing device 400 may include at least one processor 402 that executes at least one computer-readable instruction stored or encoded in a computer-readable storage medium (ie, the memory 404) (ie, the above-mentioned in the form of software) Implementation elements).
  • computer-executable instructions are stored in the memory 404, which, when executed, cause at least one processor 402 to complete the following actions: obtain point cloud data of the power transmission and distribution equipment; perform three-dimensional reconstruction on the point cloud data To construct a three-dimensional point cloud model of the power transmission and distribution equipment; and perform defect diagnosis on the power transmission and distribution equipment based on the three-dimensional point cloud model.
  • a non-transitory machine-readable medium may have machine-executable instructions (ie, the above-mentioned elements implemented in the form of software), which, when executed by a machine, cause the machine to execute the various embodiments of the present disclosure in conjunction with FIGS. 1-3.
  • machine-executable instructions ie, the above-mentioned elements implemented in the form of software
  • a computer program product including computer-executable instructions, which when executed, cause at least one processor to execute the above described in conjunction with FIGS. 1-3 in the various embodiments of the present disclosure.

Abstract

La présente invention concerne un procédé, appareil et système de diagnostic de dispositif de transmission et de distribution, un dispositif informatique, un support, et un produit. Le procédé de diagnostic de dispositif de transmission et de distribution comporte les étapes consistant à: obtenir les données de nuage de points d'un dispositif de transmission et de distribution; effectuer une reconstruction tridimensionnelle (3D) sur les données de nuage de points pour construire un modèle en nuage de points 3D du dispositif de transmission et de distribution; et d'après le modèle en nuage de points 3D, effectuer un diagnostic de défauts sur le dispositif de transmission et de distribution. Dans le procédé de diagnostic de dispositif de transmission et de distribution selon les modes de réalisation de la présente invention, le dispositif de transmission et de distribution est analysé selon le modèle en nuage de points 3D qui est reconstruit d'après les données de nuage de points, et ainsi, la présente invention peut effectuer de manière exacte et efficiente un diagnostic de défauts sur le dispositif de transmission et de distribution.
PCT/CN2019/087652 2019-05-20 2019-05-20 Procédé, appareil et système de diagnostic de dispositif de transmission et de distribution, dispositif informatique, support, et produit WO2020232608A1 (fr)

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PCT/CN2019/087652 WO2020232608A1 (fr) 2019-05-20 2019-05-20 Procédé, appareil et système de diagnostic de dispositif de transmission et de distribution, dispositif informatique, support, et produit
CN201980095970.5A CN113767409A (zh) 2019-05-20 2019-05-20 输配电设备诊断方法、装置、系统、计算设备、介质以及产品

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