CN114091944A - Cloud-end-coordinated distribution network engineering field operation analysis decision system - Google Patents

Cloud-end-coordinated distribution network engineering field operation analysis decision system Download PDF

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CN114091944A
CN114091944A CN202111428548.2A CN202111428548A CN114091944A CN 114091944 A CN114091944 A CN 114091944A CN 202111428548 A CN202111428548 A CN 202111428548A CN 114091944 A CN114091944 A CN 114091944A
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project
distribution network
management
data
cloud
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孟海磊
赵辰宇
董啸
任敬飞
魏巍
刘明林
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
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    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
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    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

The application provides a cloud-coordinated distribution network engineering field operation analysis decision system, and belongs to the technical field of power distribution management of a power grid; the specific scheme is as follows: the system comprises an interface server, an application server, a Web server, an image/video recognition server, a gateway server and a management system. The interface server is used for receiving the field data of the distribution network project; the management system is used for carrying out distribution network data statistics decision analysis, distribution network project management and real-time tracking and monitoring of the distribution network project according to the distribution network project site data. According to the method and the system, the distribution network engineering project is managed, the project node condition is monitored in real time, and the accuracy, the normalization and the real-time performance of the distribution network engineering project management are realized.

Description

Cloud-end-coordinated distribution network engineering field operation analysis decision system
Technical Field
The application relates to the technical field of power distribution management of a power grid, in particular to a cloud-end collaborative distribution network engineering field operation analysis decision system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Under the requirement of new digital infrastructure, the distribution network engineering is larger and larger in scale, the requirement of digital capability is more and more urgent, and a series of problems exist in the operation of the existing distribution network engineering. The distribution network engineering operation site is dispersed, the task weight is heavy, the number of managers is small, the mobility of constructors is large, the supervision force is not enough, and the like, and an informatization means is not used as a support to a certain extent; in the infrastructure of distribution network engineering, especially in the operation and fault first-aid repair engineering of lines of 10kV and below, enough operation control technology is lacked, so that the problems of field operation safety accidents, poor engineering completion quality and the like are easily caused; in the process of operation of the distribution network engineering, the regulations of safe construction are relatively deficient, and the normalization of technical personnel in actual operation is poor; in the collaborative management and control process of the distribution network engineering, the means for supporting the management and control link of the distribution network engineering on the basis of the advanced information technology is not sound.
Therefore, how to improve the accuracy, the normalization and the real-time performance of the distribution network engineering project management becomes a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
In order to solve the defects of the prior art, the application provides a cloud-end collaborative distribution network engineering field operation analysis decision system, which manages distribution network engineering projects, monitors the conditions of project nodes in real time and realizes the accuracy, normalization and real-time performance of the distribution network engineering project management.
In order to achieve the purpose, the following technical scheme is adopted in the application:
the application provides distribution network engineering field operation analysis decision-making system in coordination with high in clouds includes:
the interface server is used for receiving the field data of the distribution network project and interacting with other systems;
an application server for publishing services;
the Web server is used for publishing a webpage;
the image/video identification server is used for receiving and identifying the images and the videos and analyzing the images and the videos;
the gateway server is used for distributing and forwarding data;
and the management system is used for carrying out distribution network data statistics decision analysis, distribution network project management and real-time tracking monitoring of the distribution network project according to the distribution network project site data.
Optionally, the field data of the distribution network engineering is divided into the following two types:
network distribution engineering data;
and (5) unstructured data of the distribution network engineering.
Optionally, the cloud-coordinated distribution network engineering field operation analysis decision system further includes:
and the mobile client is used for acquiring the field data of the distribution network project.
Optionally, the distribution network project site data includes:
evaluating the analysis data;
safety patrol data;
fault location data;
task scheduling data.
Optionally, the mobile client comprises:
the face recognition module is used for shooting and punching a card according to the permission of a constructor and the position of a construction site;
the project management and control module is used for displaying, inquiring and operating projects;
and the project monitoring module is used for counting the number of project completion, the number of overdue and early warning projects, and reporting the safety and quality.
Optionally, shoot and punch the card according to constructor authority and job site position, include:
acquiring the on-site photographing and positioning coordinate position of a constructor and uploading the position to an interface server;
and comparing the picture shot by the personnel on site with the stored picture, and comparing whether the position of the site positioning coordinate is consistent with the position set by the system.
Optionally, the project operation includes: and viewing the detailed information of the project and the progress of the project milestone nodes, and uploading and inputting data and information of the project milestone nodes according to the requirements of each node.
Optionally, the management system comprises:
the file-establishing card-setting module is used for project department management, supervision company management, project personnel management and supervision personnel management;
and the project management module is used for filing card management, material preparation management, operation preparation management, construction management, completion acceptance management, production and power transmission management, audit settlement management and project filing management of the distribution network project.
Optionally, the filing and card setting module selects the project basic information, the filling of the project filing information and the secret project uploading file.
Optionally, the start-up preparation management comprises:
reporting and examining the construction scheme, reporting and examining the engineering work, reporting the information of the work start report, uploading and downloading the work start photo, and completing the circulation and the verification of the flow node of the reported information;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, the construction management comprises:
uploading and downloading box opening application forms, supervision notices, secret engineering acceptance reports and construction stage photos, and completing circulation and verification of process nodes for reporting data;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, as built acceptance management comprises:
the completion acceptance report, the completion report, the data report of the completion settlement book, the uploading and downloading of the completed photo and the circulation and the verification of the flow nodes of the reported data are completed;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, the commissioning power transmission management comprises:
judging whether the production equipment and the filing equipment belong to the same large feeder line verification or not and whether the time of the production equipment meets the time verification requirement or not;
and if the requirements are met, displaying the production equipment in the list, and finishing the production.
Optionally, the management system further comprises:
and the evaluation and assessment module is used for assessing and evaluating the distribution network engineering project.
Optionally, the management system further comprises:
the identification image data management module is used for analyzing and preprocessing the image;
the safety and quality characteristic model library is used for storing standard construction process pictures and checking construction safety and quality;
the image recognition algorithm module is used for recognizing and screening images and videos;
and the risk and problem supervision, rectification and control module is used for displaying and supervising the project risk problems.
Optionally, the parsing and pre-processing of the image comprises:
data augmentation, data cleaning, data classification, image aspect ratio cutting, image compression, and normalization processing of image brightness and contrast.
Compared with the prior art, the beneficial effects of this application are:
the interface server is used for accessing other system applications by the distribution network engineering field operation analysis system and extracting other system data; the application server is used for issuing and identifying image data management service, safety and quality characteristic model library management service, face identification service, project management service, project monitoring service, filing and card setting management service, engineering management service, evaluation and assessment service and risk and problem supervision management service; the Web server is used for issuing and identifying an image data management webpage, a security and quality characteristic model library management webpage, a project monitoring webpage, a filing and card setting management service risk and problem supervision management webpage; the image/video identification server is used for receiving and identifying the images and the videos so as to analyze the images and the videos; the gateway server is used for distributing and forwarding data; the management system and the mobile client verify that the personnel authority login system acquires data through the application system, and workers manage and monitor engineering personnel through the personnel data and engineering data which are counted and displayed by the management system, manage, monitor in real time and track problems of each milestone node of the engineering, ensure the progress and quality of the project and ensure the progress, quality and standardization of the completion of the engineering; photos, information and videos of the on-site key nodes or key processes are pre-processed and identified by an image/video server and then uploaded to a relational database and an unstructured database for storage; the field worker logs in the system through the mobile client to obtain the field position, and the position information is transmitted back to the interface server through the mobile client to carry out position verification and finish card punching and sign-in; the mobile client logs in the system to check the engineering data, the engineering condition is conveniently and quickly analyzed and processed, and the field engineering information is transmitted back to the management system in real time, so that the monitoring and checking are convenient. By adopting the scheme, the distribution network project is managed, the project node condition is monitored in real time, and the accuracy, the normalization and the real-time performance of the distribution network project management are realized.
Drawings
Fig. 1 is a system framework diagram of a cloud-coordinated distribution network engineering field operation analysis decision system according to an embodiment of the present disclosure.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
As shown in fig. 1, an embodiment of the present disclosure provides a cloud-based collaborative distribution network engineering field operation analysis decision system, including:
the interface server is used for receiving the field data of the distribution network project and interacting with other systems;
an application server for publishing services;
and the Web server is used for publishing the webpage.
The image/video identification server is used for receiving and identifying the images and the videos and analyzing the images and the videos;
the gateway server is used for distributing and forwarding data;
by adopting the cloud-end-coordinated distribution network engineering field operation analysis decision system provided by the embodiment of the disclosure, the distribution network engineering field data can be received, and the distribution network engineering field data can be analyzed and managed, so that the distribution network engineering can be better analyzed, managed and monitored, the personnel demand is reduced, and the accuracy, the standardization and the real-time performance of the distribution network engineering project management are improved.
Optionally, the service published by the application server includes: the system comprises an identification image data management service, a safety and quality characteristic model library management service, a face identification service, a project management service, a project monitoring service, a filing and card setting management service, an engineering management service, an evaluation and assessment service and a risk and problem supervision management service.
Optionally, the Web page published by the Web server includes: identifying image data management web pages, security and quality feature model management web pages, project monitoring web pages, profiling card-setting management service risk and problem supervision management web pages.
Optionally, the data statistical decision analysis comprises: the image preprocessing is carried out by acquiring image data of each operation specification, standard process and the like in the distribution network construction process, and a distribution network engineering operation basic model is constructed. Through a deep learning technology, dynamic defect characteristics of the distribution network engineering are integrated and a dynamic defect library is formed, a basis is provided for building and training a neural network, and a deep learning sound and light intelligent linkage warning technology of the distribution network engineering is constructed. On the distribution network engineering operation site, based on a distribution network engineering operation model and a dynamic defect library, the conditions in the distribution network engineering operation site are obtained by combining a distribution control ball, an unmanned aerial vehicle, a robot and the like, and edge calculation work such as real-time data processing, edge graph recognition, tracking control and the like of the engineering site is carried out, so that safe inspection and fault positioning are realized. And the cloud platform issues a control instruction to the distribution network engineering operation site and synchronizes the model. The cloud platform acquires characteristic data, result data, problem video stream and other data of the distribution network project site, and the data are stored and analyzed on the cloud platform. According to the on-site safety problem characteristics and quality problem characteristics, the analysis decision functions of safety alarm supervision, quality process supervision, safety supervision and supervision, operation process safety, engineering acceptance and the like are realized by combining the characteristic model library and a graph recognition algorithm.
The method comprises the steps of adopting steady-state image data based on the existing distribution network engineering in a graph recognition algorithm, providing a time-frequency domain analysis combined time-frequency characteristic quantity extraction method and a statistical method to meet the requirement of further recognition in a dynamic mode, establishing a disturbance characteristic relation function on the basis of mode recognition, integrating the function into a neuron function of a deep neural network, performing characteristic dimension reduction on a pooling layer of a Convolutional Neural Network (CNN), compressing the quantity of data and parameters, reducing overfitting, improving the fault tolerance of a model, and increasing robustness through operations such as local normalization (LRN), data enhancement, cross validation or early termination of training on an output layer, so that the accuracy of mode recognition classification is improved.
Processing the disturbance characteristics, wherein when the image is clearly processed, the processing steps are as follows:
if the original gray level of the pixel point after normalization is r, the gray level after conversion is S, and the k-th gray level conversion function T (r) of the pixel pointk) Comprises the following steps:
Figure RE-GDA0003441791950000081
0≤rk≤1；k＝0,1,2,...,L-1
in the formula, Sk、T(rk) Is the gray level after the k-th gray level conversion, j is the value of the gray level, Pr(rj) Is the probability of the gray value of the j-th level, njIs the total number of pixels in the image for the j-level gray scale, L is the total number of gray scales in the image, and N is the total number of pixels in the image.
Based on the decision result made by the neural network, defining a loss function for evaluating the accuracy of the neural network decision, wherein the formula is as follows:
Figure RE-GDA0003441791950000082
where C (w, b) represents the sum of all sample errors, w represents a set of weights, b represents a set of bias values, a represents the output value of the neural network, y (x) represents the desired decision result given the input set x, and n represents the number of samples.
When image characteristic data are fitted, a K-means (K-means) algorithm is used, and a formula is defined as follows:
Figure RE-GDA0003441791950000083
where w represents the total number of cluster groups, v represents the numerical value of the current cluster group, | UvI denotes the number of data elements in the v-th cluster group, UvRepresenting a group of a v-th cluster, zimRepresents an element in the m-dimension of the ith element in the cluster, zi′mFor the mean of the cluster, q is the dimension of each element, U1 denotes the first cluster group, and Uw denotes the w-th cluster group.
Optionally, the field data of the distribution network engineering is divided into the following two types:
the distribution network engineering data comprises site hidden engineering information and constructor information;
and the unstructured data of the distribution network project comprise on-site pictures and videos.
Optionally, the cloud-end coordinated distribution network engineering field operation analysis decision system further includes:
the relational database is used for storing distribution network engineering data;
and the unstructured database is used for storing unstructured data of the distribution network engineering.
Optionally, the cloud-coordinated distribution network engineering field operation analysis decision system further includes:
and the mobile client is used for acquiring the field data of the distribution network project.
Optionally, the distribution network project site data includes:
evaluating the analysis data;
safety patrol data;
fault location data;
task scheduling data.
Optionally, the mobile client comprises:
the face recognition module is used for shooting and punching a card according to the permission of a constructor and the position of a construction site;
the project management and control module is used for displaying, inquiring and operating projects;
and the project monitoring module is used for counting the number of project completion, the number of overdue and early warning projects, and reporting the safety and quality.
Optionally, shoot and punch the card according to constructor authority and job site position, include:
acquiring the on-site photographing and positioning coordinate position of a constructor and uploading the on-site photographing and positioning coordinate position to an image/video recognition server and an interface server;
and comparing the picture shot by the personnel on site with the stored picture, and comparing whether the position of the site positioning coordinate is consistent with the position set by the system.
Optionally, the project operation includes: and viewing the detailed information of the project and the progress of the project milestone nodes, and uploading and inputting data and information of the project milestone nodes according to the requirements of each node.
Optionally, the project management and control module is further configured to display projects to be operated by the user next time, a user may select a project according to the screening condition, open a certain project, operate according to the milestone nodes, each milestone has a required key process, complete the jump of the nodes after the corresponding key process, and perform the marking.
Optionally, the target control module is further configured to upload a picture of a construction site, a picture of a site survey, a picture of a construction meeting and the like of the key processes of the milestone, and perform coordinate binding on the picture.
Optionally, the photo and video acquisition method comprises the steps that equipment such as an intelligent robot, an unmanned aerial vehicle, a handheld mobile terminal and a control ball are arranged and uploaded to an image/video recognition server through a mobile intranet, the image/video recognition server develops a model library characteristic and picture analysis algorithm through a background, characteristic update safety and quality characteristic library model data are extracted, and real-time performance and accuracy of the data of a characteristic library are guaranteed; and analyzing and calculating the pictures and the videos, identifying risk points and problems in the pictures and the videos, storing and transmitting the problems and the risk points back to the mobile client, and realizing real-time monitoring and early warning of the problems and the risks.
Optionally, the project monitoring module is further configured to display completion quantity, expiration quantity, warning quantity, safety and quality report of the project, click numbers or identifiers corresponding to the above functions, view detailed information of the problem project, and modify and monitor the project according to the prompt information.
Optionally, the project monitoring module is further used for comparing and calculating a PC (personal computer) end system, counting the number of start works and completion works, the number of overdue and early-warning projects and reporting safety and quality, and transmitting the number back to the mobile client through the interface server, field personnel can click on a page to check detailed information and perform rectification according to prompts, such as a supplementary photo which lacks a photo, a rebinding coordinate which is not bound with the coordinate, a rebinning which is unqualified with the photo, safety rectification can be performed when safety problems exist, and the rectified single project can be automatically filed and is not displayed in the page.
Preferably, the face recognition module is used for photographing and card punching by field workers, the field workers must take photos first after logging in the app, the photos are uploaded to the image/video recognition server and compared with the photos stored in the database, and after the operation authority is determined, the page jumps to the main page; and selecting the monomer engineering to punch the card, obtaining the longitude and latitude coordinates of the location of the personnel while punching the card, uploading the longitude and latitude coordinates to an interface server to compare the longitude and latitude coordinates with the coordinates of the point selection equipment in the database, determining that the card can be successfully punched after the positions are the same, and performing operations such as information filling, photo uploading and the like on the monomer engineering.
Optionally, the management system comprises:
the file-establishing card-setting module is used for project department management, supervision company management, project personnel management and supervision personnel management;
and the project management module is used for filing card management, material preparation management, operation preparation management, construction management, completion acceptance management, production and power transmission management, audit settlement management and project filing management of the distribution network project.
Optionally, the filing and card-setting module has the functions of filling in project basic information and project filing information and checking files uploaded by hidden projects.
Optionally, the item department management is entry, display and management of item department information; the project department is a supervision, construction and owner project department, different authority personnel are associated to the corresponding project department according to requirements, and the personnel have the authority to manage and operate projects under the project department.
Optionally, project personnel management is project personnel addition, display, deletion and management; the personnel are divided into roles such as an owner, a first-party representative and a system operation and maintenance, different role authorities are created according to the requirement of personnel posts, the photos of the personnel are uploaded to the system and the portrait is registered, and the personnel can conveniently take pictures by swiping faces and check cards when logging in a mobile client terminal by the personnel in the later period.
Optionally, supervisor management is project personnel addition, display, deletion and management; the personnel divide into construction, design, supervision role, establish different role authorities according to personnel post requirement to upload this personnel's photo to the system and carry out the portrait registration, make things convenient for later stage personnel to carry out personnel to brush face when the mobile client logs on and shoot and punch the card and verify.
Optionally, the archive building card management module is further used for filling basic information of project archive building, and the basic information includes a construction responsible person, a design agent, a supervision responsible person, the number of terminals, a pointing device, a secret project and the like, wherein the pointing device finds the device in a GIS map through a device name, positions the coordinate of the device and stores the coordinate in a database, and a field worker performs field positioning according to the coordinate of the pointing device to obtain a coordinate position, so that the worker can find a construction site quickly and avoid behaviors such as irregular operation of the field worker.
Optionally, the start-up preparation management comprises:
reporting and examining the construction scheme, reporting and examining the engineering work, reporting the information of the work start report, uploading and downloading the work start photo, and completing the circulation and the verification of the flow node of the reported information;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, the construction management comprises:
uploading and downloading box opening application forms, supervision notices, secret engineering acceptance reports and construction stage photos, and completing circulation and verification of process nodes for reporting data;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, as built acceptance management comprises:
the completion acceptance report, the completion report, the data report of the completion settlement book, the uploading and downloading of the completed photo and the circulation and the verification of the flow nodes of the reported data are completed;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
Optionally, the generation completion flag marks the material green.
Optionally, the commissioning power transmission management comprises:
judging whether the production equipment and the filing equipment belong to the same large feeder line verification or not and whether the time of the production equipment meets the time verification requirement or not;
and if the requirements are met, displaying the production equipment in the list, and finishing the production.
Optionally, the distribution network engineering project is used for managing different milestone nodes of the single project, the progress and completion condition of the single project are monitored in real time, and each time one milestone node is completed, the system marks the milestone node and automatically jumps to the next node; each node has a corresponding document and a corresponding flow, and the system marks the flows which are not opened, opened and finished in different states. And the single project developed by the PC terminal is synchronously checked at the mobile client.
Optionally, the management system further comprises:
and the evaluation and assessment module is used for assessing and evaluating the distribution network engineering project.
Optionally, the evaluation and assessment module is further configured to count the number of each milestone node, the number of early warnings, and the number of lags of the individual project, compare the planned time of the individual project with the actual time, wherein the actual time is less than or equal to the planned time, and the project is normal; the actual time is greater than the planned time, and the project is a lag project; and if the current time is one week away from the planned time, the project is taken as an early warning project.
Optionally, the management system further comprises:
the identification image data management module is used for analyzing and preprocessing the image;
the safety and quality characteristic model library is used for storing standard construction process pictures and checking construction safety and quality;
the image recognition algorithm module is used for recognizing and screening images and videos;
and the risk and problem supervision, rectification and control module is used for displaying and supervising the project risk problems.
Optionally, the identifying and screening of images and videos comprises: performing feature extraction, data mining and data analysis on the target to be detected, training by using a deep network, and operating the functions of target detection, character recognition, action and behavior recognition and the like from a plurality of video stream pictures by using a model obtained by training;
optionally, the project risk issue presentation and supervision comprises: and performing edge calculation, performing dynamic analysis based on an algorithm on a cloud platform through a data stream returned in real time, identifying risks and problems in real time, generating an alarm, dynamically tracking and acquiring detailed image information on the site by sending a control instruction to the site terminal equipment aiming at the problem point until the problem is brought into supervision and modification, and finally conforming to the management requirement through image identification to form closed-loop management of problem generation, problem point positioning and problem type, problem point key dynamic tracking and checking and problem point image rechecking after modification.
Optionally, the parsing and pre-processing of the image comprises:
data augmentation, data cleaning, data classification, image aspect ratio cutting, image compression, and normalization processing of image brightness and contrast.
Optionally, the image data recognition management module is further configured to perform feature extraction, data mining, and data analysis on the target to be detected, perform training using a deep network, and perform functions of target detection, character recognition, action and behavior recognition from a plurality of video stream pictures using a model obtained by the training.
Optionally, the management system further comprises: the safety and quality characteristic model base is used for collecting on-site videos and pictures, performing data modeling according to summarization standards and rules of the quality, characteristics and the like of the videos and the pictures to form a characteristic model base, and is used for picture identification and dynamic defect intelligent identification, standard process detection and evaluation, construction operation behavior prejudgment and detection, risk judgment and early warning; and the risk and the early warning are transmitted to the mobile client through the interface server, and checking and tracking rectification are carried out through a risk and problem supervision rectification module of the mobile client.
Optionally, the risk and problem supervision and correction control is implemented by checking and correcting risks and problems in the single engineering construction process, the construction videos or pictures fed back on site are identified and screened through an image identification algorithm and are compared with standard construction process photos in a feature library, the problems and risks in the construction process are found, results are displayed on a page and a mobile client, field personnel perform correction according to prompt information, and the risks or the problems are filed and marked after the correction is completed.
As will be appreciated by one skilled in the art, the embodiments disclosed herein may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (16)

1. The utility model provides a distribution network engineering field operation analysis decision-making system in coordination with high in clouds which characterized in that includes:
the interface server is used for receiving the field data of the distribution network project;
an application server for publishing services;
the Web server is used for publishing a webpage;
the image/video identification server is used for receiving and identifying the images and the videos and analyzing the images and the videos;
the gateway server is used for distributing and forwarding data;
and the management system is used for carrying out distribution network data statistics decision analysis, distribution network engineering management and real-time tracking monitoring of the distribution network engineering according to the distribution network engineering site data.
2. The cloud-coordinated distribution network project site operation analysis and decision system of claim 1, wherein the distribution network project site data is divided into the following two categories:
network distribution engineering data;
and (5) unstructured data of the distribution network engineering.
3. The cloud-coordinated distribution network project site operation analysis decision system of claim 1, further comprising:
and the mobile client is used for acquiring the field data of the distribution network project.
4. The cloud-coordinated distribution network project site operation analysis decision system of claim 3, wherein the distribution network project site data comprises:
evaluating the analysis data;
safety patrol data;
fault location data;
task scheduling data.
5. The cloud-coordinated distribution network project site operations analysis decision system of claim 3, wherein the mobile client comprises:
the face recognition module is used for shooting and punching a card according to the permission of a constructor and the position of a construction site;
the project management and control module is used for displaying, inquiring and operating projects;
and the project monitoring module is used for counting the number of project completion, the number of overdue and early warning projects, and reporting the safety and quality.
6. The cloud-coordinated distribution network project site operation analysis decision system of claim 5, wherein the photographing and card punching according to the authority of constructors and the site location of construction comprises:
acquiring the on-site photographing and positioning coordinate position of a constructor and uploading the position to the interface server;
and comparing the picture shot by the personnel on site with the stored picture, and comparing whether the position of the site positioning coordinate is consistent with the position set by the system.
7. The cloud-coordinated distribution network project site operations analysis decision system of claim 5, wherein the project operations comprise: and viewing the detailed information of the project and the progress of the project milestone nodes, and uploading and inputting data and information of the project milestone nodes according to the requirements of each node.
8. A cloud-coordinated distribution project site operations analysis decision system according to any one of claims 1 to 7, wherein the management system comprises:
the file-establishing card-setting module is used for project department management, supervision company management, project personnel management and supervision personnel management;
and the project management module is used for filing card management, material preparation management, operation preparation management, construction management, completion acceptance management, production and power transmission management, audit settlement management and project filing management of the distribution network project.
9. The cloud-coordinated distribution network project site operation analysis decision system of claim 8, wherein the profiling card module selects project basic information, project profiling information filling, and covert project upload files.
10. The cloud-coordinated distribution network project site operations analysis decision system of claim 8, wherein the start-up preparation management comprises:
reporting and examining the construction scheme, reporting and examining the engineering work, reporting the information of the work start report, uploading and downloading the work start photo, and completing the circulation and the verification of the flow node of the reported information;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
11. The cloud-coordinated distribution network project site operation analysis decision system of claim 8, wherein the construction management comprises:
uploading and downloading box opening application forms, supervision notices, secret engineering acceptance reports and construction stage photos, and completing circulation and verification of process nodes for reporting data;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
12. The cloud-coordinated distribution network engineering field operation analysis decision system of claim 8, wherein the as-built acceptance management comprises:
the completion acceptance report, the completion report, the data report of the completion settlement book, the uploading and downloading of the completed photo and the circulation and the verification of the flow nodes of the reported data are completed;
and the data and the photos meet the requirements and generate a completion mark after the flow circulation is completed.
13. The cloud-coordinated distribution network project site operation analysis decision system of claim 8, wherein the commissioning power delivery management comprises:
judging whether the production equipment and the filing equipment belong to the same large feeder line for verification and whether the time of the production equipment meets the time verification requirement;
and if the requirements are met, displaying the production equipment in a list, and finishing the production.
14. The cloud-coordinated distribution network project site operations analysis decision system of claim 8, wherein the management system further comprises:
and the evaluation and assessment module is used for assessing and evaluating the distribution network engineering project.
15. The cloud-coordinated distribution network project site operations analysis decision system of claim 8, wherein the management system further comprises:
the identification image data management module is used for analyzing and preprocessing the image;
the safety and quality characteristic model library is used for storing standard construction process pictures and checking construction safety and quality;
the image recognition algorithm module is used for recognizing and screening images and videos;
and the risk and problem supervision, rectification and control module is used for displaying and supervising the project risk problems.
16. The cloud-coordinated distribution network project site operations analysis decision system of claim 15, wherein the parsing and preprocessing of the image comprises:
data augmentation, data cleaning, data classification, image aspect ratio cutting, image compression and normalization processing of image brightness and contrast.
CN202111428548.2A 2021-11-27 2021-11-27 Cloud-end-coordinated distribution network engineering field operation analysis decision system Pending CN114091944A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116340410A (en) * 2023-05-30 2023-06-27 国网瑞嘉(天津)智能机器人有限公司 Data processing method, device and server of distribution network live working robot

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116340410A (en) * 2023-05-30 2023-06-27 国网瑞嘉(天津)智能机器人有限公司 Data processing method, device and server of distribution network live working robot
CN116340410B (en) * 2023-05-30 2023-10-20 国网瑞嘉(天津)智能机器人有限公司 Data processing method, device and server of distribution network live working robot

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