Pipe network digital delivery and acceptance method and system, storage medium and electronic equipment

Abstract

The invention provides a pipe network digital delivery and acceptance method and system, a storage medium and electronic equipment. The method comprises the following steps: displaying flow operation guidance of pipe network data, acquiring the pipe network data uploaded and delivered by a user, and automatically performing acceptance analysis on the pipe network data; based on the pipe network data uploaded by the user and a plurality of preset output templates, converting the GIS data of the pipe network and the facility into result files in various formats; and associating the project based on the pipe network data uploaded by the user, and managing the project associated with the pipe network data. According to the invention, the data error rate and the result checking and checking cost in the digital pipe network management process can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of urban pipe network management, and in particular to the technical field of pipe network digital delivery and acceptance methods, systems, storage media and electronic equipment. Background Art

[0002] In the context of the digital transformation of central enterprises, how to use the opportunity of digital transformation to comprehensively enhance the collaborative capabilities of the entire industry chain and effectively reduce the overall cost of the industry chain is a breakthrough that needs to be continuously explored and demanded in the current urban pipe network management process. For example, municipalities directly under the Central Government, cities with independent planning status, and provincial capital cities have taken the lead in building an intelligent management platform for urban sewage collection and treatment facilities, using big data, the Internet of Things, cloud computing and other technical means to gradually realize remote monitoring, information collection, system intelligent scheduling, accident intelligent early warning and other functions, and provide auxiliary decision-making for facility operation and maintenance management and pollution prevention.

[0003] Finding out the basics and conducting a data census of existing pipe networks and key facilities are the premise and foundation of engineering construction. Without census data, all subsequent stages cannot be carried out. After the construction of the pipe network is completed, the completion data obtained is a true reflection of the renovated and newly built pipe network, and is a prerequisite for the inspection, maintenance, and repair of the pipe network during the operation and maintenance stage. The quality of the digital results of the census data and completion data is the key to determining the success of the entire urban water environment governance. Errors in digital results will bring huge losses of time and property in the future. In the process of results management, if information technology can be used to achieve unified standards, efficient delivery, comprehensive control, and digital acceptance, it will greatly shorten the project cycle and save costs, which is the embodiment of the core value of smart water services.

[0004] At present, the digitalization of the pipeline network, which takes the unified management of basic data as the entry point, has achieved initial results. However, in the current business system related to the digitalization of the pipeline network of the group, there is still a lack of unified management for the standardized acceptance of pipeline network results data and digital delivery. There are still some deficiencies in how to quickly and efficiently conduct acceptance after the business is completed, and how to evaluate the acceptance results. There is also insufficient research on how to deliver and accept key facilities related to the drainage pipeline network.

[0005] Realizing refined management of digital pipe networks is the only way to ensure the achievement of the management goals of improving the quality and efficiency of urban sewage. In the construction and management of large-scale protection pipe networks, we should vigorously promote standardized, normalized, and information-based management and control to make up for the lack of industry experience and shortage of professionals. The digital management of large-scale protection pipe networks urgently needs to standardize the construction market, improve the responsibility system, strengthen supervision, and improve the efficiency of information transmission through information technology; promote the standardization and normalization of pipe network digitization through information technology; and dynamically manage the entire process of pipe network digitization projects through information technology management, and realize information transmission and sharing throughout the project life cycle. At the same time, for the external market of the group, an information technology means is also needed to control the project process and realize digital delivery and acceptance.

[0006] At present, the refined management of digital pipeline networks has the following key problems in the process of data census, design, and completion data storage: 1) The professional requirements for pipeline networks of project management party A and digitalization team are too high; 2) The uploading unit is not flexible enough in outputting results, and the delivery and review of traditional CAD drawings, paper reports and other results are difficult; 3) During the project progress, there is a lack of means to accurately control the process.

[0007] The above key issues will not only cause a lot of waste of time and manpower costs, but also seriously limit the rapid promotion and application of pipe network and drainage business in many large-scale protection projects. The digital delivery of research results of pipe network and key facilities and intelligent project acceptance are the key to enterprises improving the core competitiveness of drainage business. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a pipeline digital delivery and acceptance method system, storage medium and electronic equipment for reducing the data error rate and results verification cost in the process of digital pipeline management.

[0009] To achieve the above-mentioned purpose and other related purposes, the present invention provides a method for digital delivery and acceptance of pipeline networks, including: displaying the process operation guidance of pipeline network data, obtaining the pipeline network data uploaded and delivered by the user and automatically performing acceptance analysis on the pipeline network data; based on the pipeline network data uploaded by the user and multiple preset output templates, converting the GIS data of the pipeline network and facilities into result files in multiple formats; associating the project based on the pipeline network data uploaded by the user, and managing the project associated with the pipeline network data.

[0010] In one embodiment of the present application, the process operation guidance of the pipeline network data includes an operation guidance for importing pipeline network data, an operation guidance for viewing the imported pipeline network data, an operation guidance for configuring quality inspection rules, an operation guidance for self-inspection and quality inspection of pipeline network data, and a guidance for submitting pipeline network data into the warehouse; wherein the quality inspection of the pipeline network data includes a quality inspection of the pipeline network structure topology, a quality inspection of the pipeline network data attributes, and a quality inspection of the abnormal values ​​of the pipeline network data.

[0011] In one embodiment of the present application, the acceptance analysis of the pipeline network data includes one or more combinations of pipeline network data user statistical analysis, pipeline network data user quality inspection information analysis, pipeline network data quality inspection information analysis, and pipeline network data upload information analysis.

[0012] In one embodiment of the present application, the network data user statistical analysis includes: determining the user to which the network data corresponds based on the network data; and generating multiple dimensional statistical information of the user based on multiple dimensional data of the network data and the selected statistical time.

[0013] In one embodiment of the present application, the quality inspection information analysis of the pipe network data users includes: overall quality inspection analysis of users according to the time dimension and batch analysis of users according to batches, and displaying the results of the batch analysis in the form of a statistical list, wherein the overall quality inspection analysis includes multiple combinations of overall quality inspection pass rate, quality inspection problems, category proportion, and facility proportion; the batch analysis includes multiple combinations of quality inspection status of each batch of users, number of quality inspections, pass rate, number of problems, and number of repeated problems; the pipe network data quality inspection information analysis includes type analysis with quality inspection history as the dimension, data analysis with component identification code as the dimension, and problem analysis with quality inspection problems as the dimension; wherein the type analysis includes multiple analyses of the number, type, and proportion of pipe points and pipeline problems; the data analysis includes multiple combinations of the number of problems, type, quality inspection history, and batch; the problem analysis includes multiple combinations of component information, data information, and abnormal descriptions to which the problems belong.

[0014] In one embodiment of the present application, the multiple formats of achievement files include reports, tables, and CAD format achievement files; the achievement files include achievement data tables, underground pipeline detection achievement tables, drainage outlet investigation reports, and rainwater and sewage mixed connection investigation reports.

[0015] In one embodiment of the present application, the management of the project associated with the pipeline network data includes: data update management of uploading, modifying and annotating project data; progress management of projects and subtasks from the dimensions of uploading, submitting and warehousing; quality management of projects from the dimensions of batch quality, average quality inspection quality, and pipe point and line data quality; assessment management of project assessment and evaluation based on the dimensions of the project's overall situation, progress, quality, and assessment.

[0016] To achieve the above-mentioned purpose and other related purposes, the present invention also provides a digital delivery and acceptance system for a pipeline network, including a process-based delivery and acceptance module, which displays the process operation guidance of the pipeline network data, obtains the delivery data uploaded by the user and automatically performs acceptance analysis on the delivery data; a result output module, which converts the GIS data of the pipeline network and facilities into files in multiple formats based on the delivery data uploaded by the user and multiple preset output templates; and a project process management and control module, which associates the project based on the delivery data uploaded by the user and manages the project associated with the delivery data.

[0017] To achieve the above-mentioned purpose and other related purposes, the present invention also provides a computer storage medium storing program instructions, which, when executed, implement the steps of the pipeline network digital delivery and acceptance method as described above.

[0018] To achieve the above-mentioned purpose and other related purposes, the present invention also provides an electronic device, including a memory for storing a computer program; and a processor for running the computer program to implement the steps of the pipeline network digital delivery and acceptance method as described above.

[0019] As described above, the pipeline network digital delivery and acceptance method, system, storage medium and electronic device of the present invention have the following beneficial effects:

[0020] This application utilizes digital platforms and means to greatly solve problems such as the small number of management personnel, high professional requirements, and scattered project sites. It can greatly reduce data error rates and results verification costs, enable the industrial chain to collaborate and achieve cost reduction and efficiency improvement under the guarantee of high-quality data, further promote the digital transformation of the entire industrial chain, and bring urban drainage network management to a new level. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1Shown is a schematic diagram of the overall process of a method for digital delivery and acceptance of a pipe network in an embodiment of the present application;

[0023] Figure 2 Shown is a schematic diagram of a process operation guide in a pipeline network digital delivery and acceptance method in an embodiment of the present application;

[0024] Figure 3 Shown is an example diagram of an operation guide for importing pipeline network data in a process operation guide in a pipeline network digital delivery and acceptance method in an embodiment of the present application;

[0025] Figure 4 Shown is a flow chart of statistical analysis of pipe network data users in a pipe network digital delivery and acceptance method in an embodiment of the present application;

[0026] Figure 5 Shown is a flow chart for managing projects associated with pipeline network data in a pipeline network digital delivery and acceptance method in an embodiment of the present application;

[0027] Figure 6 Shown is a principle block diagram of a digital delivery and acceptance system for a pipe network in one embodiment of the present application;

[0028] Figure 7 Shown is a system architecture diagram of a digital pipeline delivery and acceptance system implemented in an embodiment of the present application;

[0029] Figure 8 It is a principle block diagram of an electronic device in one embodiment of the present application. DETAILED DESCRIPTION

[0030] The following describes the implementation of this embodiment through specific examples, and those skilled in the art can easily understand other advantages and effects of this embodiment from the content disclosed in this specification. This embodiment can also be implemented or applied through other different specific implementations, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of this embodiment. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0031] In order to ensure the data quality of the pipeline network and key facilities; ensure that the digital results of the pipeline network survey and inspection data in the system are consistent with the paper drawings submitted to the design unit, the digital results of the pipeline network design are consistent with the drawings based on which the construction unit builds, and the digital results of the pipeline network completion are consistent with the actual situation of the pipeline network; reduce the professional acceptance threshold of the pipeline network management party A; improve the efficiency of pipeline network delivery and shorten the delivery cycle. This embodiment provides a pipeline network digital delivery and acceptance method, system, storage medium and electronic equipment, which can effectively reduce the data error rate and results verification and validation costs in the process of digital pipeline network management.

[0032] The digital delivery and acceptance method, system, storage medium and electronic equipment of the pipe network in the embodiments of the present application utilize digital platforms and means to greatly solve the problems of small number of management personnel, high professional requirements and scattered project sites, and promote the industry to further increase digital investment, improve management level from a digital perspective, and bring urban drainage pipe network management to a new level.

[0033] The principles and implementation methods of the digital pipeline network delivery and acceptance method, system, storage medium and electronic equipment of this embodiment will be explained in detail below, so that those skilled in the art can understand the digital pipeline network delivery and acceptance method, system, storage medium and electronic equipment of this embodiment without creative work.

[0034] This embodiment provides a pipeline network digital delivery and acceptance method, specifically, Figure 1 As shown, the pipeline network digital delivery and acceptance method described in this embodiment includes:

[0035] Step S100, displaying the process operation guide of the pipeline network data, obtaining the pipeline network data uploaded and delivered by the user and automatically performing acceptance analysis on the pipeline network data;

[0036] Step S200, based on the pipe network data uploaded by the user and a plurality of preset output templates, converting the GIS data of the pipe network and facilities into result files in various formats;

[0037] Step S300: Associating the project based on the pipe network data uploaded by the user, and managing the project associated with the pipe network data.

[0038] The above steps S100 to S300 in the digital delivery and acceptance method of the pipeline network in this embodiment are described in detail below.

[0039] Step S100, displaying the process operation guide of the pipeline network data, obtaining the pipeline network data uploaded and delivered by the user and automatically performing acceptance analysis on the pipeline network data.

[0040] Figure 2 The diagram shows a process operation guide in the pipeline network digital delivery and acceptance method in one embodiment of the present application; Figure 2 As shown, in some embodiments, the process operation guidance of the pipeline network data includes operation guidance for importing pipeline network data, operation guidance for viewing imported pipeline network data, operation guidance for configuring quality inspection rules, operation guidance for self-inspection and quality inspection of pipeline network data, and guidance for submitting pipeline network data into the warehouse.

[0041] The process operation guidance in this embodiment integrates guidance instructions, which can reduce the operational difficulty of water services, shorten the evaluation time of data acceptance, and speed up the acceptance and payment collection process.

[0042] In the operation guidance expansion box, click any operation box, the system will open the corresponding page and display the operation guidance prompt box. Figure 3 It shows an example diagram of the operation guide for importing pipeline network data in the process operation guide of the pipeline network digital delivery and acceptance method in one embodiment of the present application; Figure 3 As shown in the figure, the guidance content included in the operation guidance of importing pipe network data is as follows:

[0043] 1) Please download the upload template excel from this page. You can download the import guide for detailed operations.

[0044] 2) Convert the data to be uploaded into the CGCS Geodetic 2000 coordinate system and fill the converted data into the template Excel as required.

[0045] 3) Prepare the CAD file (dwg, dxf, dwt) corresponding to the uploaded data, which must be consistent with the Excel data.

[0046] 4) Set the category, area, data stage, data name, uploading unit, select the data file and CAD file to be imported, and fill in the remarks.

[0047] 5) Click the "OK" button and wait patiently for a moment to complete the data import.

[0048] After the pipe network data is successfully imported, you can view the data in the data list and layer data selection bar.

[0049] In this embodiment, the operation guidance for viewing the imported pipe network data includes:

[0050] Operation guide for viewing layer data:

[0051] 1) In the layer data selection bar, in the temporary library, you can select the successfully uploaded data.

[0052] 2) After selection, the layer of corresponding data will be displayed in the system map.

[0053] 3) Click a facility feature on the map to view its detailed information.

[0054] 4) After quality inspection, you can click on the quality inspection chart to expand it and view the quality inspection issues.

[0055] After checking the network data, you can view and operate it in the data list. The operation guide of the data list is as follows:

[0056] 1) In the data list, you can view the data that has been uploaded successfully.

[0057] 2) You can download the corresponding data, including: the original uploaded excel file, the original uploaded CAD file, and the system-generated CAD file generated by the system.

[0058] 3) You can view its detailed information.

[0059] 4) If there are errors, duplications, test data, etc., they need to be deleted from the data list.

[0060] 5) If the submitted data is returned, you can use the file upload replacement function in the "Modify Upload" function to replace the original data. After replacement, submit it again in the process.

[0061] 6) For the quality inspection result note association, you can use the quality inspection detail note association in the "Modify Upload" function. Upload the quality inspection result excel and assign the information in the quality inspection excel note to the uploaded excel.

[0062] 7) After checking that everything is correct, you can perform a quality check on the pipe network data. If you need to perform an outlier quality check, you need to set the outlier quality check rules in the outlier rule settings in advance.

[0063] After the data passes the self-quality inspection, data submission can be initiated. Data submission is the first step in the data entry approval process. You can define the item name (it is recommended to follow the format of "stage-data name-data range") and remarks. After confirming the submission, you can view the progress of the item process in the entry process.

[0064] In this embodiment, the operation guidance of the quality inspection rule configuration includes the operation guidance of the outlier rule setting:

[0065] 1) In the outlier rule library, you can view, create, delete, copy, and other operations on quality inspection rules.

[0066] 2) When creating or modifying a rule, select a layer and set the fields that need to be inspected by checking the attribute fields. Set the threshold for outlier inspection by manually entering the upper and lower limits. You can view the upper and lower limits of the corresponding data batch for the current data selection; view the upper and lower limits of all data in the entire project.

[0067] 3) After the rules are defined, select and set the rules to be used. After setting, the quality inspection will use this rule.

[0068] 4) You can refer to the system default outlier rule base template. (Not editable, can be copied and edited later).

[0069] In some implementations, the quality inspection of the pipe network data includes a pipe network structure topology quality inspection, a pipe network data attribute quality inspection, and a pipe network data outlier quality inspection.

[0070] 1) Pipeline network structure topology quality inspection

[0071] Check the connection topology relationship of pipelines and pipe points. The current problem types include: overlapping nodes, isolated nodes, overlapping pipelines, isolated pipelines, pipeline reverse slope, large pipes connecting to small pipes, pipeline intersection, mixed connection of rainwater and sewage, no downstream pipeline, and ring pipeline.

[0072] 2) Quality inspection of pipeline network data attributes

[0073] Check the required fields of the attributes, including missing or incorrect required fields.

[0074] 3) Quality inspection of outliers in pipeline network data

[0075] By setting abnormal value rules for related fields of various types of facilities, field abnormal values ​​are checked, such as: pipe diameter is too small or too large, well bottom elevation is too high, pipeline length is too large or too small, etc.

[0076] 4) Among them, the quality inspection rules for the topology of the pipe network structure and the quality inspection of the pipe network data attributes are uniformly formulated according to professional algorithms and national standards. The quality inspection of the abnormal values ​​of the pipe network data can be formulated by the user based on the reference standards and the actual local conditions.

[0077] After the quality inspection is completed, you can view the quality inspection results in the quality inspection history and download the word report and excel details. If the quality inspection passes, you can submit the data in the data list. If the quality inspection fails, you need to edit and modify the data according to the problems in the quality inspection excel details, and then re-check the data. If there are many quality inspection problems, it is recommended to modify the uploaded excel file, re-upload it, and delete the previously uploaded file.

[0078] In some embodiments, the acceptance analysis of the pipeline network data includes one or more combinations of pipeline network data user statistical analysis, pipeline network data user quality inspection information analysis, pipeline network data quality inspection information analysis, and pipeline network data upload information analysis.

[0079] Figure 4 It is a flowchart showing the statistical analysis of pipe network data users in the pipe network digital delivery and acceptance method in one embodiment of the present application; Figure 4 As shown, in some implementations, the pipeline network data user statistical analysis includes the following steps S110 and S120.

[0080] Step S110, determining the user to which the pipe network data corresponds based on the pipe network data;

[0081] Step S120: Generate multi-dimensional statistical information of the user based on the multi-dimensional data of the pipe network data and the selected statistical time.

[0082] Specifically, a user statistics system for pipe network data entering the system is established, which provides methods such as system import, external system pull, and pipe network full cycle summary. The data results can be statistically analyzed from the dimensions of data stage; upload, submission, storage status; uploading unit, etc. You can select the statistical time and query the user-related statistical data at the corresponding time according to the statistical time. The owner unit and the digital unit have the right to use this function. You can also view the user's statistics: statistically summarize the data information of the current user project, including: the number of data batches, the number of uploading units involved, how many have been submitted, how many have been stored, how many are surveyed, designed, and completed, the storage time, and facility information (pipe network length, etc.). The current user statistical information can be exported as an Excel file.

[0083] In some implementations, a unified platform is provided for the statistical analysis of data results of all users, which supports flexible screening. You can view by time, user name, regional company, etc. You can export all user statistical information as an Excel file

[0084] In this embodiment, the pipeline network data to be accepted is selected through the pop-up data selection page. Among them, the data can be selected through the tab page data such as system import, external system pull, data acquisition, defect interpretation, construction management, operation and maintenance investigation, etc. Multiple data batches can be selected, and the selected data number and name and other information will be displayed on the page after confirmation.

[0085] After selecting the pipeline network data, you can set its acceptance requirement parameters, including: normative compliance rate requirements, logical compliance rate requirements, integrity compliance rate requirements, required warehousing time, data warehousing target value, whether to upload qualified pipeline network electronic drawings, etc.

[0086] In some implementations, after the parameter settings are completed, the batch quality inspection data and the set acceptance and delivery parameters are automatically extracted and judged; then the page displays a summary acceptance table for all batches of data and an acceptance table for a single data batch.

[0087] In some implementations, the pipe network data user quality inspection information analysis includes: overall quality inspection analysis of users by time dimension and batch analysis of users by batch, and displaying the results of the batch analysis in the form of a statistical list.

[0088] Among them, the overall quality inspection analysis includes multiple combinations of overall quality inspection pass rate, quality inspection problems, category proportion, and facility proportion; the batch analysis includes multiple combinations of quality inspection status, quality inspection times, pass rate, number of problems, and number of repeated problems of each batch of users.

[0089] In some embodiments, in the overall quality inspection analysis, for example, entering the overall batch page of data quality inspection analysis supports analysis of the overall quality inspection pass rate, quality inspection problems, category proportion, facility proportion and other dimensions within the user by week, month, quarter, year, free time, etc. Filtering can be performed based on the selected date, uploading unit, etc.

[0090] In some embodiments, in the batch analysis, the quality inspection status, quality inspection times, pass rate, number of problems, number of repeated problems, etc. of each batch in the user are displayed in a statistical list. It can be filtered according to category, keyword, selection date, data stage, quality inspection status, storage status, submission status, etc.

[0091] In some embodiments, the pipe network data quality inspection information analysis includes type analysis based on quality inspection history, data analysis based on component identification code, and problem analysis based on quality inspection problems. The type analysis includes multiple combinations of analyzing the number, type, and proportion of pipe points and pipeline problems; the data analysis includes multiple combinations of the number, type, quality inspection history, and batch of problems; and the problem analysis includes multiple combinations of problem component information, data information, and abnormal descriptions.

[0092] This embodiment uses the quality inspection history as a dimension for statistical analysis, and can select and analyze the quality inspection history in batches. It can also provide the freedom to select the quality inspection history and analyze the number, type, and proportion of problems at the control points and pipelines.

[0093] In this embodiment, the number, type, quality inspection history, batch and other information of the problem are also counted in units of component identification code (pipe point line). Multiple quality inspection histories can be compared to view repeated problems, and corresponding data can be queried by number name, keyword, facility type, pipeline point type, problem type and other conditions. For example, by clicking the export button, the data analysis information can be exported as an excel file.

[0094] In the problem analysis based on the quality inspection problem dimension, the quality inspection problem is used as a unit to count the component information, data information, abnormal description, etc. You can compare multiple quality inspection histories to view repeated problems, and query the corresponding data by number name, keyword, facility type, pipeline point type, problem type and other conditions. You can click the export button to export the problem statistics information as an Excel file.

[0095] Step S200, based on the pipeline network data uploaded by the user and multiple preset output templates, the GIS data of the pipeline network and facilities are converted into result files in multiple formats.

[0096] In some implementations, the multiple formats of achievement files include reports, tables, and CAD format achievement files; the achievement files include achievement data tables, underground pipeline detection achievement tables, drainage outlet investigation reports, and rainwater and sewage mixed connection investigation reports.

[0097] In the analysis of the pipe network data upload information, each quantitative index is summarized and analyzed based on the data uploader.

[0098] Specifically, in some implementations, the information such as the number of uploaded batches, the number of batches that have passed quality inspection, and the time of uploaded quality inspection is statistically analyzed based on the uploader. It can be filtered according to the data stage, operator, statistical time, area, etc., and an upload analysis summary table can be displayed, which displays data such as the number of upload operators, the number of upload units, the number of uploaded data batches, the number of batches that have passed quality inspection, the number of data batches that have been stored, and the historical quality inspection pass rate.

[0099] In this embodiment, the analysis results can also be exported. In addition to the statistics of all the data, the census data, design data, completion data, etc. are also counted in the tab pages.

[0100] Step S300: Associating the project based on the pipe network data uploaded by the user, and managing the project associated with the pipe network data.

[0101] Figure 5 It is shown as a flow chart for managing projects associated with pipeline network data in a pipeline network digital delivery and acceptance method in an embodiment of the present application; Figure 5 As shown, in some implementations, the management of the project associated with the pipe network data includes steps S310 to S340.

[0102] Step S310, data update management of uploading, modifying and annotating project data;

[0103] Step S320, manage the progress of the project and subtasks from the dimensions of uploading, submitting, and storing;

[0104] Step S330, quality management of the project is performed from the dimensions of batch quality, average quality inspection quality, and pipe point and line data quality;

[0105] Step S340, conduct assessment management of the project based on the overall, progress, quality, and assessment dimensions of the project.

[0106] Exemplarily, when importing data in Data Management - Data List, you can associate the project created by Project Management in the corresponding project information; or on the data details page, click the Modify button to modify the corresponding project and associate the project list.

[0107] For example, in "Project Management", click the "Add Project" button, and the system will display the new page. Fill in the project name and other corresponding information fields on the page and confirm to save, and a new project information is successfully added. In the "Project List", each project is followed by a View, Edit, and Delete button. Click the View button to view the detailed information when the project was created, click the Edit button to modify the information fields of the project, and click the Delete button at the back to directly delete the project.

[0108] This embodiment also provides a digital pipeline network delivery and acceptance system. Figure 6 The schematic diagram of the digital delivery and acceptance system of the pipe network in one embodiment of the present application is shown; Figure 6 As shown, the pipeline network digital delivery and acceptance system 100 includes: a process-based delivery and acceptance module 110, a result output module 120 and a project process control module 130.

[0109] Among them, the process-based delivery and acceptance module 110 is used to display the process operation guidance of the pipeline network data, obtain the delivery data uploaded by the user and automatically perform acceptance analysis on the delivery data; the results output module 120 converts the GIS data of the pipeline network and facilities into files in multiple formats based on the delivery data uploaded by the user and multiple preset output templates; the project process management module 130 associates the project based on the delivery data uploaded by the user, and manages the project associated with the delivery data.

[0110] Figure 7 The system architecture diagram of the digital delivery and acceptance system of the pipeline network in one embodiment of the present application is shown. Figure 7 As shown, the digital delivery and acceptance system of the pipeline network in this embodiment can build a digital project process control module for pipeline networks and key facilities, and formulate project process control business functions such as estimated workload, work plan and progress analysis, and work performance evaluation. During the project, weekly reports, plans, progress, performance and other information are automatically generated to simplify the reporting and control of project management information, improve the efficiency of project reporting, and enhance the refined control capabilities of the survey subcontracting units.

[0111] In this embodiment, the implementation principles of each module of the pipeline network digital delivery and acceptance system 100 are the same as the implementation principles of each step of the above-mentioned pipeline network digital delivery and acceptance method. The implementation principles and specific implementation methods of the pipeline network digital delivery and acceptance system 100 will not be repeated here.

[0112] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is cached. When the computer program is executed by a processor, the method for digital delivery and acceptance of a pipeline network provided in any embodiment of the present application is implemented.

[0113] In the embodiment of the present application, any combination of one or more storage media can be used. The storage medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a RAM, a ROM, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or caching a program, which can be used by an instruction execution system, a device or a device or used in combination with it.

[0114] An embodiment of the present application also provides an electronic device. Figure 8 Shown is a schematic diagram of the structure of the electronic device 10 provided in the embodiment of the present application. In some embodiments, the electronic device 10 can be a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA) and other terminal devices. In addition, the digital delivery and acceptance method of the pipeline network provided in this application can also be applied to databases, servers, and service response systems based on terminal artificial intelligence. The embodiment of this application does not impose any restrictions on the specific application scenarios of the digital delivery and acceptance method of the pipeline network.

[0115] like Figure 8 As shown, the electronic device 10 provided in the embodiment of the present application includes a memory 101 and a processor 102 .

[0116] The memory 101 is used to cache computer programs; preferably, the memory 101 includes: ROM, RAM, disk, USB flash drive, cache card or CD, etc., which can cache program codes.

[0117] Specifically, the memory 101 may include a computer system readable medium in the form of a volatile memory, such as a random access memory (RAM) and / or a cache memory. The electronic device 10 may further include other removable / non-removable, volatile / non-volatile computer system storage media. The memory 101 may include at least one program product having a set (e.g., at least one) of program modules, which are configured to perform the functions of the various embodiments of the present application.

[0118] The processor 102 is connected to the memory 101 and is used to execute the computer program cached in the memory 101 so that the electronic device 10 executes the pipeline network digital delivery and acceptance method provided in any embodiment of the present application.

[0119] Optionally, the processor 102 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0120] Optionally, the electronic device 10 in this embodiment may further include a display 103. The display 103 is communicatively connected with the memory 101 and the processor 102, and is used to display a GUI interactive interface related to the pipeline network digital delivery and acceptance method.

[0121] Furthermore, the electronic device 100 also includes: a firewall, a load balancer, a communication component, a power supply component and other components. Figure 8 Only some components are shown schematically, which does not mean that the electronic device only includes Figure 8 Components shown.

[0122] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes a plurality of computer instructions. When the computer program instructions are loaded or executed on a computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.

[0123] In summary, this embodiment uses digital platforms and means to greatly solve the problems of small number of management personnel, high professional requirements and scattered project sites, which can greatly reduce the data error rate and the cost of verification and validation of results, so that the industrial chain can achieve cost reduction and efficiency improvement under the guarantee of high-quality data, further promote the digital transformation of the entire industrial chain, and take urban drainage network management to a new level. Therefore, this embodiment effectively overcomes the various shortcomings of the existing technology and has a high industrial utilization value.

[0124] The above embodiments are merely illustrative of the principles and effects of the present embodiment, and are not intended to limit the present embodiment. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present embodiment. Therefore, all equivalent modifications or changes made by those of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present embodiment should still be covered by the claims of the present embodiment.

Claims

1. A method for digital delivery and acceptance of a pipe network, characterized by: include: Display the process operation guide of the pipeline network data, obtain the pipeline network data uploaded and delivered by the user, and automatically perform acceptance analysis on the pipeline network data; Based on the pipe network data uploaded by the user and multiple preset output templates, the GIS data of the pipe network and facilities are converted into result files in multiple formats; The project is associated with the pipe network data uploaded by the user, and the project associated with the pipe network data is managed.

2. The method for digital delivery and acceptance of a pipe network according to claim 1, characterized in that: The process operation guidance of the pipeline network data includes operation guidance for importing pipeline network data, operation guidance for viewing imported pipeline network data, operation guidance for configuring quality inspection rules, operation guidance for self-inspection and quality inspection of pipeline network data, and guidance for submitting pipeline network data into the warehouse; wherein, the quality inspection of the pipeline network data includes quality inspection of pipeline network structure topology, quality inspection of pipeline network data attributes, and quality inspection of abnormal values ​​of pipeline network data.

3. The method for digital delivery and acceptance of a pipe network according to claim 1, characterized in that: The acceptance analysis of the pipeline network data includes one or more combinations of pipeline network data user statistical analysis, pipeline network data user quality inspection information analysis, pipeline network data quality inspection information analysis, and pipeline network data upload information analysis.

4. The method for digital delivery and acceptance of a pipe network according to claim 3 is characterized in that: The pipeline network data user statistical analysis includes: Determining a user to which the pipe network data corresponds based on the pipe network data; Based on the multiple dimensional data of the pipe network data and the selected statistical time, multiple dimensional statistical information of the user is generated.

5. The method for digital delivery and acceptance of a pipe network according to claim 3, characterized in that: The analysis of the quality inspection information of the pipe network data users includes: overall quality inspection analysis of users according to the time dimension and batch analysis of users according to batches, and displaying the results of the batch analysis in the form of a statistical list; The overall quality inspection analysis includes various combinations of overall quality inspection pass rate, quality inspection problems, category proportion, and facility proportion; the batch analysis includes various combinations of quality inspection status, quality inspection times, pass rate, number of problems, and number of repeated problems of each batch of users; The pipe network data quality inspection information analysis includes type analysis based on quality inspection history, data analysis based on component identification code, and problem analysis based on quality inspection problems; Among them, the type analysis includes multiple analyses of the number, type and proportion of pipeline points and pipeline problems; the data analysis includes multiple combinations of the number, type, quality inspection history and batches of problems; the problem analysis includes multiple combinations of problem component information, data information and abnormal descriptions.

6. The method for digital delivery and acceptance of a pipe network according to claim 1, characterized in that: The achievement files in various formats include reports, tables, and CAD format achievement files; the achievement files include achievement data tables, underground pipeline detection achievement tables, drainage outlet investigation reports, and rainwater and sewage mixed connection investigation reports.

7. The method for digital delivery and acceptance of a pipe network according to claim 1, characterized in that: The managing of the project associated with the pipe network data includes: Upload, modify and annotate project data and manage data updates; Manage the progress of projects and subtasks from the dimensions of uploading, submitting, and storing; Carry out quality management on the project from the dimensions of batch quality, average quality inspection quality, and pipe point and line data quality; Assessment management is used to assess and evaluate projects based on the project's overall, progress, quality, and assessment dimensions.

8. A digital delivery and acceptance system for a pipe network, characterized by: include: The process-based delivery and acceptance module displays the process operation guidance of the pipeline network data, obtains the delivery data uploaded by the user and automatically performs acceptance analysis on the delivery data; A result output module converts the GIS data of the pipe network and facilities into files of various formats based on the delivery data uploaded by the user and multiple preset output templates; The project process control module associates the project based on the delivery data uploaded by the user and manages the project associated with the delivery data.

9. An electronic device, characterized in that: include: comprising a memory for storing a computer program; A processor is used to run the computer program to implement the steps of the pipeline network digital delivery and acceptance method as described in any one of claims 1 to 7.

10. A computer storage medium storing program instructions, characterized in that: When the program instructions are executed, the steps of the pipeline network digital delivery and acceptance method as described in any one of claims 1 to 7 are implemented.

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