Research And Application Of Intelligent Inventory System Of Substation Accounts,Cards And Objects Of XX Power Supply Company

For power grid companies,good management of assets existing in the power grid can effectively prevent the loss of inherent assets,ensure the quality of inherent assets,and improve the operation effect of fixed assets.However,the substation assets of power grid companies also have the characteristics of large number,high value,and geographical dispersion,which brings major challenges in asset management.It is a difficult operation and management,involves a wide area,and is highly technical.items.In terms of asset information recruitment,there is a certain degree of difference between the PMS system and the ERP system.The reason is that the management goals of these two types of systems do not completely match.PMS tends to manage physical equipment,while ERP tends to manage asset process value.On the basis of this formation,the coupling of data and processes has certain application obstacles.At the same time,substation asset verification basically relies on traditional manual methods,which consume a lot of resources and are inefficient when the assets are large in number and geographically dispersed.In the process of substation asset inventory,integrating and optimizing the inventory and verification methods,taking multiple measures to improve the consistency rate of substation asset accounts,cards,and objects,and establishing a long-term substation asset long-term management verification mechanism on this basis is a constant need of the academic and practical circles Topics for exploration and research.In response to the above-mentioned problems,this paper designs an intelligent inventory system for substation accounts,cards and objects of XX Power Supply Company.Based on the data middle platform built by State Grid Corporation,it carries out inventory management of account cards and objects based on the data middle platform and substation inspection robots.Through the data sharing capability of the data center,the equipment information data collected by the substation inspection robot is replaced by the manual inventory in the form of system intelligent inventory,and the data governance work is carried out simultaneously.In this way,the consumption of manpower and material resources can be saved,and the inefficiency and errors caused by manual checking can be avoided.In order to realize the intelligent inventory of substation equipment,this paper conducts an in-depth analysis of the actual characteristics and existing problems of the State Grid substation assets.storage and processing of information.Compared with the traditional business data center,it can independently complete the data analysis model and provide decision-making basis for business personnel,avoiding the fault tolerance rate of manual processing,and better ensuring the authenticity and reliability of physical asset inventory.In this process,the robot navigation control system and algorithm are further developed and optimized.Using Arduino as an integrated development environment,it covers motor drive system,environment perception system,motion status monitoring system and communication system as a whole.By programming the main control unit,combined with the automatic path planning algorithm and automatic obstacle avoidance algorithm,the substation inspection robot can complete autonomous motion control and intelligent perception of the surrounding environment,and on this basis realize inspection,data collection,data upload,etc.basic function.Combined with the actual situation of the substation,this system uses DFD(Depth From Defocus)defocus distance measurement to improve the traditional continuous focus(CAF)technology.In order to verify the excellence and accuracy of the algorithm,a large number of pictures were selected for comparison,and it was obtained that under different focusing algorithms,the sharpness evaluation function Tenengrad gradient method is used to calculate the image sharpness,and the Sobel operator is used to calculate the level respectively.And the gradient in the vertical direction,the higher the gradient value in the same scene,the clearer the image and the faster the focusing speed.For two-dimensional code recognition,an automatic projection view correction algorithm is designed.The correction of its affine transformation reduces the degree of distortion to a certain extent.The success rate of image two-dimensional code detection and scanning is over 98%,which reflects the superiority of the function.On the basis of completing the construction and development of the digital intelligent inventory platform,the feasibility of the system operation was tested from two aspects of data transmission,database connection and system performance.Through the UDL database connection file and a large number of repeated tests,the stability and usability of the system connection are verified.Black box testing is used to assess whether each function of the software can meet the expected expectations in the plan and can be used normally.The verification analysis is carried out from the perspectives of the comparison module,the information collection module,and the label identification module.A large number of test data show that:the system data collection accuracy is not affected by the external environment,it can accurately identify the two-dimensional code label,and upload it to the inventory system synchronously,complete the data comparison and decision analysis,with high stability and reliability can be promoted and used.