CN111726577A - Power distribution network engineering auditing method based on unmanned aerial vehicle inspection - Google Patents
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Abstract
The invention relates to a power distribution network project auditing method based on unmanned aerial vehicle inspection, which realizes the field image data acquisition of the power distribution network project by means of the high efficiency and low cost of an unmanned aerial vehicle, trains an internal inspection system by taking the acquired data as a material to obtain a defect information base and a power equipment characteristic database, finally utilizes the unmanned aerial vehicle to perform inspection and photographing on a power distribution network project to be audited again, and inputs the obtained image into the internal inspection system for processing and then compares the image with the defect information base and the power equipment characteristic database to form an audit report. The method gives full play to the advantages of artificial intelligence and big data, introduces the unmanned aerial vehicle line patrol technology into power distribution network project audit, greatly improves audit efficiency and audit comprehensiveness, and obtains better economic benefit.
Description
Technical Field
The invention relates to the technical field of auditing and power grid construction engineering, in particular to a power distribution network engineering auditing method based on unmanned aerial vehicle inspection.
Background
Along with the rapid development of economy in China, more and more power distribution network modification engineering projects are developed, and the fact that audit work has incomparable characteristics and differences compared with the prior art is determined, and the audit work is mainly shown in the following aspects:
1. the workload is large. The new power distribution network transformation project has large capital investment, short time and high working requirement, more and more contents need to be audited, the auditing task is increased day by day, and the requirements on the configuration and the business quality of managers and auditors are higher and higher.
2. The related departments are many. The audit of the new power distribution network transformation construction project requires the cooperation of multiple related departments of a power grid enterprise in a division manner, and requires that the working interfaces of all functional departments are clear and definite. From the engineering construction scope, a new round of distribution network engineering project is closely connected with a distribution network transformation project, and the distribution network transformation comprises rural power network engineering and urban network engineering. At present, the rural power grid engineering management mode of Hubei province is a multi-level management mode of province, city, county and village, and the urban power grid engineering management mode is a two-level management mode of province and city. From the aspect of business process, a new round of power distribution network project relates to various levels of functional departments such as planning, management, fund, material, project management, construction, safety, settlement and the like, and the management coordination range and the audit coverage are continuously expanded and extended.
3. And (4) dynamic closed-loop management. A new round of power distribution network transformation is a strategic and rolling investment construction project, and a power grid enterprise can form continuous closed-loop management in the whole dynamic management process. Functional departments of planning, project management, financial assets, materials, construction, safety supervision, audit and the like form normative operation flows and work nodes in a closed-loop process, wherein internal audit participates in the whole process of whole-period activities, information platforms of various information systems, monitoring systems and the like are fully utilized, audit work is carried out on various fields in an all-around mode, and the functions of confirmation and consultation, service and supervision are continuously played in the process of forming virtuous circle of the work of the guarantee flow.
With the continuous deepening of the construction of a new round of power distribution network, the auditing modes and means inside a power grid enterprise are obviously changed from the prior art. The 'audit full coverage' is listed as a primary key task, so that the whole process of a project and the whole period of equipment are required to be tracked and audited before, during and after the project is implemented, and meanwhile, the analytic recheck is required to be enhanced to evaluate the risk of the project. In the auditing process, all data of the power distribution network construction project of an audited unit are required to be comprehensively analyzed and verified, the data comprises financial data, material and equipment data, project management data, asset data, follow-up tracking data and the like, and the control of value quantity and non-value quantity indexes is reasonably enhanced, so that a more comprehensive auditing effect is achieved. In addition, the audit range and the audit field need to be fully expanded, for example, extended audit is implemented on construction units. And finally, a risk guiding principle and a benefit effect auditing principle must be highlighted in the auditing process, and meanwhile, the intensification of auditing resources is emphasized.
The current auditing mode of the project of the power distribution network reconstruction project generally adopts a field checking method, which not only consumes much time but also is not easy to cover comprehensively. The applicant discloses a power distribution network construction auditing grid management method (CN110298562A) in the past, and further research and testing are continuously carried out on the basis, and a novel power distribution network engineering auditing method based on an unmanned aerial vehicle is finally developed by taking the mature unmanned aerial vehicle line patrol technology applied by the inventor as reference and improving the unmanned aerial vehicle line patrol technology.
Disclosure of Invention
The invention aims to overcome the defects of the existing power distribution network project auditing method and provides a new auditing method based on an unmanned aerial vehicle. The method comprises the following steps: (a) a training stage: collecting field image data of power distribution network engineering construction from various angles by using an unmanned aerial vehicle, processing the images, and inputting the processed images into an auditing system to complete training; (b) and (3) an operation stage: and (4) polling the power distribution network engineering construction site to be audited by using the unmanned aerial vehicle, and inputting image data shot in the polling process into a trained auditing system for analysis.
Furthermore, the operation of collecting the field images of the power distribution network construction project by the unmanned aerial vehicle occurs at any time point in the training phase and the running phase, and the time points comprise before construction, during construction and after construction.
Further, the modes of acquiring images by the unmanned aerial vehicle include regular acquisition (every 15 days or 30 days) and irregular acquisition; the angles of the collected images at least comprise four directions of south, east, west and north and right above, and the collected images comprise an overall image and a partial detail image.
Further, the processing of the image in the training stage in the step (a) includes defect detection and feature extraction, and the defect detection specifically includes the following steps: firstly, a manager identifies and marks the acquired image by combining project data, preliminarily identifies defects of the power distribution network project represented by the image (defect detection preprocessing), then verifies and confirms on site to form real defect data (defect detection test), and finally carries out classification marking (defect classification training) on the real defect data in the image to form a defect information base; the feature extraction is specifically as follows: the manager firstly analyzes the collected images by combining the project data, marks out the power equipment therein and forms a power equipment characteristic database. The defect information base and the power equipment characteristic database jointly form the core of the internal auditing system.
Furthermore, the defect information base comprises the contents of defect types, severity degrees, response measures and the like; the power equipment characteristic database comprises the contents of equipment type, suppliers, price and the like.
Further, the process of analyzing the image shot by the inspection in the operation stage of the step (b) is specifically as follows: the method comprises the steps that an image is input into an internal auditing system to be subjected to defect detection and feature extraction respectively, data obtained through the feature extraction are compared with a power equipment feature database, and power equipment related to a power distribution network project to be audited is automatically identified; comparing the data obtained by defect detection with a defect information base, automatically identifying the defects of the project of the power distribution network to be examined and sending alarm information; and finally, integrating the feature extraction and defect detection results to form an audit report.
Furthermore, in the operation stage, a prompt is given to an image system which cannot be identified by the internal auditing system, and identification and marking are carried out through intervention of management personnel, so that the auditing effect is further ensured.
Further, the unmanned aerial vehicle comprises an unmanned aerial vehicle platform, an airborne detection system and a ground console, wherein the airborne detection system is installed and integrated on the unmanned aerial vehicle platform, and the ground console is built on the ground; the unmanned aerial vehicle platform comprises a main body, a battery pack, a motor and an unmanned aerial vehicle control system, wherein the battery pack is arranged in the main body and used for supplying power to the motor and driving the unmanned aerial vehicle to fly in a controlled manner; the unmanned aerial vehicle control system comprises navigation equipment, storage equipment, wireless communication equipment, voice recognition and control equipment and an onboard embedded computer, wherein the onboard embedded computer is connected with the navigation equipment, the storage equipment, the wireless communication equipment and the voice recognition and control equipment and is used for receiving signals transmitted by the equipment, processing the signals and sending an instruction; the ground control console is in wireless connection with the unmanned aerial vehicle through wireless communication equipment or voice recognition and control equipment and is used for controlling the operation track of the unmanned aerial vehicle in real time; the airborne detection system comprises a high-definition camera and a stability augmentation cloud platform, the stability augmentation cloud platform is installed on an unmanned aerial vehicle platform, the high-definition camera is installed on the stability augmentation cloud platform, and an airborne embedded computer is connected with the high-definition camera and used for controlling the high-definition camera to acquire field images of power distribution network engineering construction and storing acquired data on a storage device or transmitting the acquired data to a ground control console through a wireless communication module.
Further, the project capacity of the power distribution network does not exceed 10 KV. The oversize power distribution network project needs higher data transmission, storage and calculation capacity, and practices show that the accuracy and the reliability of an audit result obtained by the power distribution network project with proper capacity are relatively higher.
The auditing method provided by the invention references the unmanned aerial vehicle line patrol technology which is successfully applied in our department and fully expands the application field and functions of the unmanned aerial vehicle line patrol technology, acquires the field images of the power distribution network project through the unmanned aerial vehicle and inputs the field images into the auditing system to complete training, then acquires the field images of the power distribution network project to be audited and inputs the field images into the auditing system, automatically completes analysis and identification, and gives an auditing report. By means of the system, only the construction site needs to be patrolled and examined for at least three times (namely before construction, during construction and after completion acceptance), audit full coverage can be realized by analyzing and comparing data acquired for three times, the mirror image data in the construction process can be checked and recorded at any time to check and audit the process, and trial omission is not easy to occur. The auditing method can create the auditing ledger of the distribution network in Hubei province, realize statistics, query and analysis of all ledgers, generate related reports and greatly improve the working efficiency.
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FIG. 1 is a schematic view of an auditing system of the present invention;
fig. 2 is a schematic structural diagram of the unmanned aerial vehicle of the present invention.
Detailed Description
In order to make those skilled in the art fully understand the technical solutions and advantages of the present invention, the following embodiments are further described.
As shown in fig. 1, in the auditing method for the power distribution network project, training of an internal auditing system is completed first, and then automatic auditing is performed on a subsequently newly-built power distribution network project through the trained internal auditing system. Training materials need to be collected at first in the training process, a large number of field images of a plurality of power distribution network projects before construction, in different time periods during construction and after completion acceptance are collected through an unmanned aerial vehicle in the earlier stage, and then the images are manually marked in combination with engineering data. The annotation includes two aspects: the method comprises the steps of firstly, detecting defects, manually identifying all suspected defects reflected by an image, checking the suspected defects on site to obtain real defect data, and finally classifying the real defect data to form a defect database; and secondly, feature extraction, namely manually identifying all the electric power equipment in the image, recording all the information related to the electric power equipment, and then classifying to obtain an electric power equipment feature library. And a defect database and an electric power equipment feature library formed after training are the core of the whole auditing system. The image recognition and AI system training technology is mature, typically neural networks, and the auditing system of the invention also adopts the similar prior art.
During actual examination, the unmanned aerial vehicle is dispatched to patrol and photograph the power distribution network engineering site before construction, during construction and after completion acceptance. Inputting the collected photos into an internal auditing system (computer) for defect detection and feature extraction at the same time, comparing the processed results with a defect database and a power equipment feature library, automatically identifying information of power equipment, types, suppliers, prices and the like related to the power distribution network project, more importantly, automatically giving out the running state and construction defect hidden dangers of the power equipment, and finally generating an auditing report for reference decision-making of managers.
The unmanned aerial vehicle used by the auditing method can be a modified commercial professional unmanned aerial vehicle, such as an F-A10 series tilting rotor wing vertical take-off and landing unmanned aerial vehicle, or a patrol unmanned helicopter which is self-developed and successfully operated (see CN 2018222439414). The line patrol unmanned helicopter mainly comprises an unmanned aerial vehicle platform, an airborne detection system and a ground control console, wherein the airborne detection system is installed and integrated on the unmanned aerial vehicle platform, and the ground control console is built on the ground. The unmanned aerial vehicle platform includes fuselage main part, group battery, motor and unmanned aerial vehicle control system, and the group battery is installed and is supplied power for the motor in the fuselage for drive unmanned aerial vehicle controlled flight. The unmanned aerial vehicle control system comprises navigation equipment (such as a GPS or a Beidou), storage equipment (a solid state disk or a large capacity storage card), wireless communication equipment (such as a WIFI module or a SIM card carrying a 5G network), voice recognition and control equipment (such as a MIC voice control module), and an onboard embedded computer (a miniature mobile computer), wherein the onboard embedded computer is connected with the navigation equipment, the storage equipment, the wireless communication equipment and the voice recognition and control equipment, is used for receiving signals transmitted by the equipment and sending an instruction after processing. The control console on the ground is in wireless connection with the unmanned aerial vehicle through wireless communication equipment or voice control equipment, the control console is used for controlling the operation track and the action of the unmanned aerial vehicle in real time, and the airborne detection system comprises a high-definition camera (namely a visible light camera), a stability-increasing cradle head and the like. The stability augmentation cloud platform is installed on the unmanned aerial vehicle platform, and the high definition camera is installed on the stability augmentation cloud platform, and the machine carries embedded computer and links to each other with the high definition camera for control high definition camera gathers distribution network engineering construction scene image, and with the data storage of gathering on storage device or through wireless communication module transmission to ground control cabinet. The main technical index parameters of the line patrol unmanned helicopter are as follows
Table 1 patrol unmanned helicopter technical index table
Claims (9)
1. A power distribution network project auditing method based on unmanned aerial vehicle inspection is characterized by comprising the following steps: (a) a training stage: collecting field images of the power distribution network project from various angles and different distances by using an unmanned aerial vehicle, processing the images, and inputting the processed images into an auditing system to finish training; (b) and (3) an operation stage: and (4) polling the power distribution network project site to be audited by using an unmanned aerial vehicle, and inputting the image shot in the polling process into a trained auditing system for analysis.
2. The method of claim 1, wherein: the operation of acquiring the field images of the power distribution network project by using the unmanned aerial vehicle in the step (a) and the step (b) occurs at any time point of construction, including before construction, during construction and after construction.
3. The method of claim 1, wherein: the mode of the unmanned aerial vehicle for collecting the image comprises regular collection and irregular collection; the angles of the collected images at least comprise four directions of south, east, west and north and right above, and the collected images comprise an overall image and a partial detail image.
4. The method of claim 1, wherein: the processing of the image in the training stage in the step (a) comprises defect detection and feature extraction, wherein the defect detection specifically comprises the following steps: firstly, a manager identifies and marks the acquired image by combining project data, preliminarily identifies the defects of the power distribution network project represented by the image, then verifies and confirms on site to form real defect data, and finally classifies and marks the real defect data to form a defect information base; the feature extraction is specifically as follows: the manager firstly analyzes the collected images by combining the project data, marks out the power equipment therein and forms a power equipment characteristic database.
5. The method of claim 4, wherein: the defect information base comprises contents of defect types, severity degrees, response measures and the like; the power equipment characteristic database comprises the contents of equipment type, suppliers, price and the like.
6. The method of claim 1, wherein: the process of analyzing the image shot by the inspection in the operation stage in the step (b) is as follows: the method comprises the steps that an image is input into an internal auditing system to be subjected to defect detection and feature extraction respectively, data obtained through the feature extraction are compared with a power equipment feature database, and power equipment related to a power distribution network project to be audited is automatically identified; comparing the data obtained by defect detection with a defect information base, automatically identifying the defects of the project of the power distribution network to be examined and sending alarm information; and finally, integrating the feature extraction and defect detection results to form an audit report.
7. The method of claim 1 or 6, wherein: and (b) examining the images which cannot be identified by the system in the operation stage, and identifying and marking by using a manager.
8. The method of claim 1, wherein: the unmanned aerial vehicle comprises an unmanned aerial vehicle platform, an airborne detection system and a ground console, wherein the airborne detection system is installed and integrated on the unmanned aerial vehicle platform, and the ground console is built on the ground; the unmanned aerial vehicle platform comprises a main body, a battery pack, a motor and an unmanned aerial vehicle control system, wherein the battery pack is arranged in the main body and used for supplying power to the motor and driving the unmanned aerial vehicle to fly in a controlled manner; the unmanned aerial vehicle control system comprises navigation equipment, storage equipment, wireless communication equipment, voice recognition and control equipment and an onboard embedded computer, wherein the onboard embedded computer is connected with the navigation equipment, the storage equipment, the wireless communication equipment and the voice recognition and control equipment and is used for receiving signals transmitted by the equipment, processing the signals and sending an instruction; the ground control console is in wireless connection with the unmanned aerial vehicle through wireless communication equipment or voice recognition and control equipment and is used for controlling the operation track of the unmanned aerial vehicle in real time; the airborne detection system comprises a high-definition camera and a stability augmentation cloud platform, the stability augmentation cloud platform is installed on an unmanned aerial vehicle platform, the high-definition camera is installed on the stability augmentation cloud platform, and an airborne embedded computer is connected with the high-definition camera and used for controlling the high-definition camera to acquire field images of the power distribution network project and storing the acquired data on a storage device or transmitting the acquired data to a ground control console through a wireless communication module.
9. The method of claim 1, wherein: the capacity of the power distribution network project does not exceed 10 KV.
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| CN114913619A (en) * | 2022-04-08 | 2022-08-16 | 华能苏州热电有限责任公司 | Intelligent mobile inspection method and system |
| CN117333141A (en) * | 2023-11-27 | 2024-01-02 | 国网浙江省电力有限公司 | Automatic auditing method, system, equipment and medium for engineering quantity of electric power engineering |
| CN117333141B (en) * | 2023-11-27 | 2024-02-06 | 国网浙江省电力有限公司 | Automatic auditing method, system, equipment and medium for engineering quantity of electric power engineering |
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Application publication date: 20200929 |