Intelligent supervision system for network engineering construction
By designing an intelligent supervision system for network engineering construction, semantic analysis and correlation map technology combined with user needs, the problems of excessive construction budget and poor results in the existing technology have been solved, and higher flexibility and personalization have been achieved to ensure the stability and efficiency of the construction process.
Patent Information
- Application Number
- CN202510043865.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-04-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art is difficult to combine user needs in network engineering construction, resulting in overdue construction budget or poor results, lack of flexibility and personalization.
Design an intelligent supervision system for network engineering construction, including project management platform, project planning module, construction monitoring module, data analysis module, data adjustment module and construction response module. Obtain objective and subjective construction information through semantic analysis, build network engineering correlation maps and preparatory construction maps, conduct construction monitoring and data analysis, and adjust the construction process to meet user needs.
It improves the flexibility and personalization of the intelligent supervision system for network engineering construction, ensures that the construction process meets user needs, reduces the risk of budget exceeding and poor construction results, and improves the overall stability of construction supervision.
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Figure CN119887114A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent supervision technology, and in particular to an intelligent supervision system for network engineering construction. Background Art
[0002] With the rapid development of information technology, the scale and complexity of network engineering are constantly increasing. From the construction of simple local area networks to the construction of large data centers and wide area networks, network engineering involves an increasingly wide range of areas and includes a variety of complex construction tasks. Traditional manual supervision methods can no longer meet the requirements of modern network engineering construction. Manual inspections are not only inefficient, but also prone to omissions and errors. Therefore, setting up an intelligent supervision system to monitor construction progress and quality has become an inevitable trend.
[0003] However, in the process of setting up an intelligent supervision system to manage the construction of network projects, only the construction quality of the network project can be supervised, and user needs cannot be effectively integrated into the intelligent supervision process, resulting in budget overruns or poor construction results during the user's network project construction process. To a certain extent, it reduces the flexibility and personalization of the network project construction supervision process. Therefore, how to improve the flexibility and personalization of the network project construction intelligent supervision system is a problem we need to solve. For this purpose, a network project construction intelligent supervision system is now provided. Summary of the invention
[0004] The purpose of the present invention is to solve the shortcomings of poor flexibility and lack of personalization in the prior art, and to propose a network engineering construction intelligent supervision system.
[0005] In order to achieve the above object, the present invention adopts the following technical solutions:
[0006] A network engineering construction intelligent supervision system includes a project management platform, wherein the project management platform is provided with a project management module, a project planning module, a construction monitoring module, a data analysis module, a data adjustment module and a construction response module;
[0007] The project management module is used to obtain network engineering project information, extract semantic features of the network engineering project information, obtain corresponding objective construction information and subjective construction information, and generate project data packages;
[0008] The project planning module is used to obtain historical network engineering project information, and build a network engineering association map based on the historical network engineering project information, plan and analyze the construction process of the corresponding project based on objective construction information and subjective construction information, obtain construction process information, set corresponding preset supervision process standard indicators based on the construction process information, and build a preliminary construction map corresponding to the corresponding project and a multi-dimensional and interrelated vertical and horizontal association map based on the construction process information;
[0009] The construction monitoring module is used to monitor the construction process of network engineering projects and obtain corresponding construction monitoring data;
[0010] The data analysis module is used to analyze and process the obtained construction monitoring data according to the corresponding preset supervision process standard indicators in the vertical and horizontal correlation maps, and obtain the construction deviation data according to the analysis results;
[0011] The data adjustment module is used to obtain the construction deviation data corresponding to the corresponding construction process information, analyze and process the construction deviation data according to the preliminary construction map and the corresponding vertical and horizontal association map, and obtain the construction adjustment data;
[0012] The construction response module is used to obtain construction adjustment data, and the corresponding staff will respond according to the construction adjustment data to complete the corresponding construction process.
[0013] The above technical solution further includes: the process of obtaining network engineering project information and generating corresponding project data packets includes:
[0014] Entering network engineering project information through a project management module, wherein the network engineering project information includes construction project statement information and construction project specification document data;
[0015] The obtained network engineering project information is subjected to semantic feature analysis based on a semantic analysis algorithm to obtain corresponding lexical semantics, sentence structure semantics and contextual semantics, and the obtained lexical semantics, sentence structure semantics and contextual semantics are subjected to progressive statistical analysis in turn. The progressive statistical analysis results are integrated to obtain the final analysis result, and the network engineering project information is divided into objective construction information and subjective construction information according to the final analysis result, and a corresponding project data packet is generated.
[0016] Furthermore, the process of constructing the network engineering association map by the project planning module includes:
[0017] Obtain historical network engineering project information, perform task decomposition on historical network engineering construction data, obtain historical construction process data corresponding to each historical network engineering construction data, perform classification processing based on the obtained historical construction process data, construct a historical construction process data set based on the classification processing results, perform feature extraction on the historical construction process data set, and obtain corresponding construction feature data;
[0018] A three-dimensional operation flow axis is set, and the three-dimensional operation flow axis is segmented according to the number of classification processing results to obtain corresponding construction space segments, and the construction space segments are set as construction process type nodes; the historical construction process data sets corresponding to each construction process type node are analyzed and processed in turn from a multi-dimensional perspective to obtain corresponding related data;
[0019] The nodes of each construction process type are associated and integrated according to the obtained associated data, and the network engineering association map is obtained according to the integration results.
[0020] Furthermore, the process of constructing a preliminary construction map corresponding to the corresponding network engineering project includes:
[0021] Obtain the project data package, decompose the construction process of the corresponding network engineering project according to the objective construction information and subjective construction information in the project data package, and obtain the construction process data corresponding to the project data package;
[0022] Obtain a network engineering association map, compare and analyze the obtained construction process data with the corresponding construction process type nodes in the network engineering association map, and obtain the corresponding construction process type nodes according to the comparison and analysis results;
[0023] Based on objective construction information and subjective construction information, the construction feature data in the corresponding construction process type nodes are compared and analyzed, and the associated data corresponding to the qualified construction feature data are extracted to obtain the corresponding preliminary construction map.
[0024] Furthermore, the process of constructing a multi-dimensional and interrelated vertical and horizontal correlation map based on the construction process information includes:
[0025] Obtain objective construction information and subjective construction information corresponding to the construction process information, allocate objective conditions to the operation steps corresponding to the construction process information according to the objective construction information, obtain the initial supervision process standard indicators corresponding to the corresponding construction process information, adjust the initial supervision process standard indicators within an adjustable range according to the subjective construction information, and obtain the preset supervision process standard indicators;
[0026] Set up a blank map, set up map nodes in the blank map according to the construction process information, and analyze the preset supervision process standard indicators corresponding to the map nodes from multiple angles;
[0027] The preset supervision process standard indicators corresponding to the multi-dimensional angle analysis results in the corresponding map nodes are vertically associated; the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angle analysis results between the corresponding map nodes are horizontally associated;
[0028] Mark the vertical and horizontal associations in the blank map to obtain vertical and horizontal association maps.
[0029] Furthermore, the process of obtaining the construction monitoring data of the construction process of the corresponding network engineering project includes:
[0030] Acquire construction process data of the corresponding network engineering project, and set a corresponding construction monitoring method according to the construction process data, wherein the construction monitoring method includes manual collection monitoring and equipment collection monitoring;
[0031] The construction monitoring data corresponding to the corresponding construction process data is obtained through manual collection monitoring and equipment collection monitoring, and the obtained construction monitoring data is sent to the data analysis module.
[0032] Furthermore, the process of obtaining construction deviation data includes:
[0033] Obtain the corresponding graph node in the vertical and horizontal correlation graph to which the construction monitoring data belongs, and obtain the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the graph node;
[0034] The obtained construction monitoring data is standardized according to the corresponding multi-dimensional angles, and the standardized construction monitoring data is compared and analyzed with the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the corresponding map nodes. If the construction monitoring data does not meet the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles, the construction deviation data between the construction monitoring data and the corresponding preset supervision process standard indicators is obtained.
[0035] Furthermore, the process of obtaining construction adjustment data includes:
[0036] Obtain construction deviation data corresponding to corresponding construction process data, obtain construction feature data corresponding to corresponding construction process type nodes in the preliminary construction map based on the obtained construction deviation data, analyze and process the construction deviation data based on the obtained construction feature data, and obtain corresponding longitudinal construction adjustment data;
[0037] Compare and analyze the obtained vertical construction adjustment data with the preset supervision process standard indicators corresponding to the multi-dimensional angles of the vertical association in the corresponding map node in the vertical and horizontal association map. If they meet the requirements, directly mark the corresponding vertical construction adjustment data as construction adjustment data;
[0038] If it does not meet the requirements, the construction characteristic data associated with the corresponding construction process type node in the preliminary construction map is obtained according to the obtained construction deviation data, and the construction deviation data is analyzed and processed according to the obtained construction characteristic data to obtain the corresponding horizontal construction adjustment data;
[0039] The obtained horizontal construction adjustment data is compared and analyzed with the preset supervision process standard indicators corresponding to the multi-dimensional angles of horizontal association in the vertical and horizontal association map and the corresponding map nodes. If they meet the requirements, the corresponding horizontal construction adjustment data is directly marked as construction adjustment data. If they still do not meet the requirements, construction adjustment failure information is generated.
[0040] Furthermore, the construction response module is used to obtain the construction adjustment data corresponding to the corresponding construction process data obtained by the construction adjustment module, and the corresponding staff responds according to the obtained construction adjustment data to complete the construction process corresponding to the corresponding construction process data.
[0041] The present invention has the following beneficial effects:
[0042] 1. In the present invention, semantic analysis is performed on the network engineering project information, and corresponding objective construction information and subjective construction information are obtained according to the semantic analysis results. The requirements of the network engineering project during the construction process are supplemented and adjusted within an adjustable range according to the objective construction information and the subjective construction information, thereby meeting the personalized needs of the corresponding users of the corresponding network engineering project to a certain extent.
[0043] 2. In the present invention, by analyzing and processing historical network engineering project information, a corresponding network engineering association map is constructed, thereby constructing an association database of problems that may be encountered during the construction of network engineering projects. According to the constructed association database, the associated problems that may be encountered during the construction of the corresponding network engineering projects are characterized, and the corresponding preliminary construction map is obtained. When there are abnormalities in the corresponding construction process data, a corresponding remedial measure basis is provided, which also improves the flexibility of the intelligent supervision system in the process of supervising the construction of network engineering projects to a certain extent.
[0044] 3. In the present invention, the preset supervision process standard indicators corresponding to each construction process data are horizontally and vertically associated from a multi-dimensional perspective, so that in the process of analyzing and processing the construction monitoring data corresponding to each construction process data, it is ensured that the preset supervision process standard indicators corresponding to each multi-dimensional perspective meet the standards. When preparing the construction map to obtain the construction adjustment data of the construction process corresponding to the corresponding construction process data, the construction adjustment data is analyzed and judged through the vertical and horizontal association maps, and the construction adjustment data that meets the requirements is set as the corresponding operation process. In this process, the flexibility of the network engineering construction process is improved while the overall stability of the network engineering construction is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] Figure 1 This is a structural schematic diagram of a network engineering construction intelligent supervision system proposed by the present invention. DETAILED DESCRIPTION
[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0048] Embodiment 1
[0049] like Figure 1 As shown, the present invention proposes an intelligent supervision system for network engineering construction, including a project management platform, which is used to monitor and manage the entire construction process of various network engineering projects, thereby improving the quality of the network engineering construction process and flexibly changing the construction process within a reasonable range according to user needs;
[0050] The project management platform is provided with a project management module, a project planning module, a construction monitoring module, a data analysis module, a data adjustment module and a construction response module;
[0051] In this embodiment, the project management module is used to obtain network engineering project information, extract semantic features from the network engineering project information, obtain corresponding objective construction information and subjective construction information, and generate a project data package;
[0052] The project planning module is used to obtain historical network engineering project information, and construct a network engineering association map based on the historical network engineering project information, plan and analyze the construction process of the corresponding project based on objective construction information and subjective construction information, obtain construction process information, set corresponding preset supervision process standard indicators based on the construction process information, and construct a preliminary construction map corresponding to the corresponding project and a vertical and horizontal association map that is mutually related from multiple dimensions based on the construction process information;
[0053] The construction monitoring module is used to monitor the construction process of the network engineering project and obtain corresponding construction monitoring data;
[0054] The data analysis module is used to analyze and process the obtained construction monitoring data according to the corresponding preset supervision process standard indicators in the vertical and horizontal association map, and obtain construction deviation data according to the analysis results;
[0055] The data adjustment module is used to obtain the construction deviation data corresponding to the corresponding construction process information, analyze and process the construction deviation data according to the preliminary construction map and the corresponding vertical and horizontal association map, and obtain the construction adjustment data;
[0056] The construction response module is used to obtain construction adjustment data, and the corresponding staff responds according to the construction adjustment data to complete the corresponding construction process.
[0057] The project management module is used to obtain network engineering project information, extract semantic features of the network engineering project information, obtain corresponding objective construction information and subjective construction information, and generate a project data package. The specific implementation process includes:
[0058] Set up project entry unit, project analysis unit and project management unit;
[0059] The project entry unit is used to enter network engineering project information, create a project entry file, enter the corresponding network engineering project information into the corresponding project entry file according to user needs, set the corresponding project code for the project entry file, and mark the corresponding project entry file according to the project code, wherein:
[0060] The network engineering project information includes construction project statement information, construction project specification document data, construction project quality information, construction project safety information, construction project resource information, and construction project target information;
[0061] The construction project statement information is the preference statement information and standard statement information of the corresponding enterprise or individual user for the corresponding network engineering project. The preference statement information includes design preference, function preference, quality preference, etc.;
[0062] The construction project specification document data includes the construction process, national and industry implementation standard information of the corresponding network project;
[0063] The quality information of the construction project includes material quality parameter range, equipment quality parameter range, etc.;
[0064] Construction project safety information includes construction personnel safety data, construction environment safety data, etc.
[0065] The construction project resource information includes construction human resource data, construction material resource data, etc.;
[0066] The construction project target information includes task completion target information, task function target information and task quality target information;
[0067] The project analysis unit is used to obtain the project entry file corresponding to the corresponding project number, and extract the corresponding network engineering project information in the project entry file, perform analysis and processing according to the network engineering project information, and obtain the corresponding objective construction information and subjective construction information according to the analysis process;
[0068] Obtain network engineering project information, and define the objective information and subjective information corresponding to the network engineering project information based on the semantic analysis algorithm;
[0069] According to the defined objective information and subjective information, the network engineering project information is semantically analyzed to obtain the corresponding lexical semantics, sentence structure semantics and contextual semantics, and then analyzed and processed in turn. The specific implementation process includes:
[0070] Conduct comparative analysis on the obtained lexical semantics and the objective and subjective information of the definition, and mark the obtained comparative analysis results in the corresponding sentence structure;
[0071] According to the labeling results, the initial state probability, state transition probability and observation probability in the corresponding sentence structure are statistically analyzed;
[0072] Based on the forward algorithm, the initial state probability π, state transition probability a and observation probability b corresponding to each sentence structure are analyzed and calculated. The specific implementation process includes:
[0073] The words included in each sentence structure are set as a word sequence, where the word sequence is marked as ω= ( ω1,ω2,…,ω n) , obtain the corresponding lexical semantic state, and mark the lexical state as j, where
[0074] Analyze and process the sentence structure corresponding to the corresponding vocabulary sequence:
[0075] Step 1: Initialization, get the probability of the first word in state j, where: α 1(j) =π j b j (ω1);
[0076] Step 2: Recursion: recursive analysis of subsequent words in the vocabulary sequence, where: α n (i)=∑ j α n-1 (j)a ji b i (ω n ), i and j are the current state and the previous state respectively;
[0077] Step 3: Terminate and obtain the state probability data corresponding to the vocabulary sequence, where: P ( ω ) =∑ i α n ( i ) ;
[0078] The obtained probability data is calculated by Bayesian formula to obtain the state probability data corresponding to the sentence structure, and the objective state probability of the sentence Subjective state probability of a sentence Among them, P( O ) and P ( S ) are the initial state probabilities of the corresponding states respectively;
[0079] Determine the probability P of the objective state corresponding to the sentence structure ( O | ω ) and subjective state probability P ( S | ω ) The size of the sentence is determined by comparing the size of the sentence to determine whether the sentence structure belongs to a subjective state or an objective state.
[0080] Obtain the state corresponding to the corresponding sentence structure, and mark the corresponding sentence structure according to the subjective state or the objective state;
[0081] Analyze and process the context semantics according to the marking results of the sentence structure, and adjust the marking results of each sentence structure;
[0082] According to the adjustment results, the objective information and subjective information in each sentence structure are integrated to obtain the corresponding objective construction information and subjective construction information;
[0083] Generate a project data package using the objective construction information and subjective construction information obtained;
[0084] The project management unit is used to store and manage the project entry files and the corresponding project data packages corresponding to each project number, and to update and manage each data information according to the project code, and store the updated content together.
[0085] The project planning module is used to obtain historical network engineering project information, and to construct a network engineering association map based on the historical network engineering project information, to plan and analyze the construction process of the corresponding project based on objective construction information and subjective construction information, to obtain construction process information, to set corresponding preset supervision process standard indicators based on the construction process information, and to construct a preliminary construction map corresponding to the corresponding project and a multi-dimensional and interrelated vertical and horizontal association map based on the construction process information. The specific implementation process includes:
[0086] The project planning module is provided with a data comparison unit and a data planning unit;
[0087] The data comparison unit is used to process the corresponding historical network engineering construction data, analyze and process the historical network engineering construction data, construct a network engineering association map, and associate the impact between network engineering operation steps based on the network engineering association map combined with the historical network engineering construction data. The specific implementation process includes:
[0088] Obtain historical network engineering construction data, decompose the historical network engineering construction data into tasks, obtain historical construction process data corresponding to each historical network engineering construction, perform classification processing based on the obtained historical construction process data, and construct a historical construction process data set based on the classification processing results;
[0089] Extracting features from the historical construction process data set to obtain construction feature data corresponding to the historical construction process data set, wherein the construction feature data includes construction feature data from multiple dimensions, including cost feature data, functional feature data, and quality feature data;
[0090] The historical construction process data corresponding to different classification processing results are set as construction process type nodes, and the associated graph framework is constructed according to the obtained construction process type nodes, where:
[0091] A three-dimensional operation flow axis is set according to the historical construction process data in the association graph framework, and the three-dimensional operation flow axis is segmented according to the number of task decompositions, and the construction space segments obtained by segmenting the operation flow axis are marked as construction process type nodes;
[0092] Obtain the classification processing results obtained in the construction process type node and map them to the corresponding construction space segments respectively, label the construction types corresponding to each classification processing result, and set the construction process type sub-node;
[0093] Combine each construction process type node and construction process type sub-node, obtain the corresponding historical construction process data set according to the combination result, analyze and process each historical construction process data set from a multi-dimensional perspective, and obtain the corresponding related data. The specific implementation process includes:
[0094] The construction characteristic data corresponding to the corresponding historical construction process data set is analyzed progressively according to the functional characteristic data, quality characteristic data and cost characteristic data; based on the corresponding professional knowledge and big data analysis algorithm, the associated data corresponding to the functional characteristic data and quality characteristic data of the historical construction process data in the corresponding combination are determined;
[0095] in:
[0096] The associated data corresponding to the functional characteristic data include implementation and non-implementation;
[0097] The associated data corresponding to the quality characteristic data include overload, full load and empty load;
[0098] Acquire corresponding cost characteristic data based on the functional characteristic data and the quality characteristic data;
[0099] Based on the associated data obtained from each combination, each construction process type node and the construction process type sub-nodes included therein are associated and integrated to obtain a corresponding network engineering association graph;
[0100] The data planning unit is used to match and analyze the construction process of the corresponding network engineering based on the network engineering association map according to the project data package, obtain the construction process data corresponding to the project data package, and generate preset supervision process standard indicators corresponding to multi-dimensional angles for the construction process data according to the project data package, and construct a vertical and horizontal association map according to the analysis and processing of each preset supervision process standard indicator. The specific implementation process includes:
[0101] Obtain the project entry file corresponding to the project code, obtain the corresponding project data package according to the project entry file, and integrate the corresponding objective construction information and subjective construction information in the project data package;
[0102] Analyze and process the construction project specification document data, decompose the tasks of the network engineering construction process, obtain the various operation steps that need to be carried out in sequence during the construction of the corresponding network engineering according to the task decomposition results, and mark the task decomposition results as construction process data;
[0103] Obtain the network engineering association map, compare and analyze the construction process data obtained from the task decomposition result with the corresponding construction process type node in the network engineering association map, and obtain the corresponding construction process type sub-node in the construction process node based on the comparison and analysis;
[0104] Compare and analyze the obtained objective construction information with the corresponding construction feature data in each construction process type sub-node to determine whether the construction feature data corresponding to the corresponding construction process type sub-node meets the objective conditions of the objective construction information;
[0105] Compare and analyze the obtained subjective construction information with the corresponding construction feature data in each construction process type sub-node to determine whether the construction feature data corresponding to the corresponding construction process type sub-node meets the subjective conditions of the subjective construction information;
[0106] Extract the association relationship between the network engineering construction diagrams between the construction process type sub-nodes corresponding to the objective construction information and the subjective construction information to obtain the preliminary construction diagram;
[0107] According to the objective construction information, objective conditions are allocated to the operation steps corresponding to the construction process data corresponding to the project input file, and the initial supervision process standard indicators corresponding to each construction process data are obtained, wherein the initial supervision process standard indicators include the corresponding initial operation indicator interval, initial budget indicator interval, initial function indicator interval and initial quality indicator interval;
[0108] The initial supervision process standard indicators corresponding to each construction process data are adjusted within an adjustable range through subjective construction information, and the preset supervision process standard indicators are obtained according to the adjustment results;
[0109] The preset supervision process standard indicators obtained from each construction process data are analyzed and processed to construct a vertical and horizontal correlation map. The specific implementation process includes:
[0110] A blank map is set according to the corresponding project code, and corresponding map nodes are set in the blank map according to the construction process data corresponding to the corresponding data package, and the preset supervision process standard indicators corresponding to the corresponding map nodes are analyzed from multiple perspectives, including cost supervision perspective, function supervision perspective and quality supervision perspective;
[0111] The preset supervision process standard indicators corresponding to the three corresponding multi-dimensional angles are vertically correlated to obtain the construction process data corresponding to the corresponding map node position, and obtain the change relationship between the three-dimensional angles;
[0112] The preset supervision process standard indicators corresponding to the multi-dimensional angles of each construction process data corresponding to the project data package are horizontally associated with the preset supervision process standard indicators corresponding to each construction process data according to the corresponding multi-dimensional angles to obtain the change relationship between the graph nodes corresponding to the corresponding construction process data;
[0113] Marking is performed in a blank graph according to the vertical association and horizontal association in the graph nodes to obtain a vertical and horizontal association graph;
[0114] The obtained vertical and horizontal correlation maps and the corresponding preliminary construction maps are stored in the project entry file, and are invented in the data analysis module and the data adjustment module, and are updated in real time according to the data analysis results.
[0115] The construction monitoring module is used to monitor the network engineering construction process, obtain corresponding construction monitoring data, and send the obtained construction monitoring data to the data analysis module. The specific implementation process includes:
[0116] Obtain the construction process data of the network engineering project corresponding to the corresponding project number, and set the corresponding construction monitoring method according to the construction process data, including:
[0117] Construction monitoring methods include manual collection monitoring and equipment collection monitoring;
[0118] The manual collection and monitoring is used for the corresponding construction personnel or the corresponding person in charge to enter the corresponding construction monitoring data according to the preset requirements. The collected construction monitoring data includes but is not limited to task progress, equipment and consumables model equipment, human resources monitoring, etc.;
[0119] The equipment collection and monitoring is used for the corresponding monitoring equipment to obtain the corresponding construction process data corresponding to the construction monitoring data during the construction process. The collected construction monitoring data includes but is not limited to environmental safety monitoring, functional results monitoring, performance indicator monitoring, etc.;
[0120] The construction monitoring data obtained by manual collection monitoring and equipment collection monitoring are marked according to their types, and the corresponding construction monitoring data are sent to the data analysis module according to the marking results.
[0121] The data analysis module is used to obtain the corresponding construction monitoring data, analyze and process the obtained construction monitoring data, determine the construction deviation data of the preset supervision process standard indicators corresponding to the multi-dimensional angles and the corresponding construction monitoring data, and send the obtained construction deviation data to the data adjustment module. The specific implementation process includes:
[0122] Obtain the corresponding vertical and horizontal association maps and preliminary construction maps;
[0123] Analyze and process the obtained vertical and horizontal correlation maps according to the obtained construction monitoring data;
[0124] Obtain the corresponding graph node in the vertical and horizontal correlation graph to which the construction monitoring data belongs, and obtain the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the graph node;
[0125] The obtained construction monitoring data is standardized according to the corresponding multi-dimensional angles, and the standardized construction monitoring data is compared and analyzed with the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the corresponding map nodes to obtain the corresponding comparative analysis results:
[0126] If the construction monitoring data meets the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles, normal construction information is generated;
[0127] If the construction monitoring data does not meet the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles, the construction deviation data of the construction monitoring data and the corresponding preset supervision process standard indicators is obtained, and the corresponding construction abnormality information is generated according to the construction deviation data, and the obtained construction abnormality information is sent to the data adjustment module.
[0128] The data adjustment module is used to obtain various construction deviation data, analyze and process the corresponding construction deviation data according to the vertical and horizontal association maps, obtain deviation adjustment data, and update the preset supervision process standard indicators obtained in the project planning module according to the deviation adjustment data. The specific implementation process includes:
[0129] Obtaining a vertical and horizontal association map and a corresponding preliminary construction map, and when there is construction abnormality information in the corresponding map node, obtaining construction deviation data of the corresponding construction abnormality information, and analyzing and processing the construction deviation data;
[0130] It should be further explained that, in the specific implementation process, the corresponding preset supervision process standard indicators are corresponding intervals, and the construction deviation data are obtained based on the interval limits corresponding to the preset supervision process standard indicators;
[0131] Obtain construction process data corresponding to the construction deviation data, obtain other historical construction process data stored in the corresponding preliminary construction atlas according to the corresponding construction process data, analyze and process the construction deviation data corresponding to the construction process data based on the data information in the corresponding atlas node, and obtain corresponding longitudinal construction adjustment data according to the analysis and processing results;
[0132] The obtained longitudinal construction adjustment data is input into the corresponding longitudinal and transverse association map, and the longitudinal construction adjustment data corresponding to each multi-dimensional angle of the longitudinal association in the corresponding longitudinal and transverse association map is subjected to change analysis;
[0133] Analyze and process the longitudinal construction adjustment data based on the multi-dimensional angles of longitudinal association to obtain the longitudinal predicted construction data corresponding to the corresponding multi-dimensional angles; analyze and process the obtained longitudinal predicted construction data to determine whether the longitudinal predicted construction data corresponding to each multi-dimensional angle meets the standards of the corresponding preset supervision process standard indicators;
[0134] If they are all met, the longitudinal construction adjustment result is converted into construction adjustment data and sent to the construction response module;
[0135] If there is any discrepancy, the longitudinal construction adjustment result is re-analyzed based on the longitudinally associated multi-dimensional angles, and longitudinal predicted construction data corresponding to other multi-dimensional angles are obtained, and the operation and analysis process is repeated;
[0136] If none of them are in compliance, then obtain the graph sub-node associated with the construction process data in the preliminary construction graph, obtain the corresponding historical construction process data, analyze and process the corresponding historical construction process data in sequence, and obtain the corresponding horizontal construction adjustment data;
[0137] Analyze and process the obtained horizontal forecast construction data to determine whether the horizontal forecast construction data corresponding to the corresponding multi-dimensional angles meet the standards of the corresponding preset supervision process standard indicators;
[0138] If they are all met, the horizontal construction adjustment result is converted into construction adjustment data and sent to the construction response module;
[0139] If there is any discrepancy, obtain the lateral predicted construction data corresponding to other multi-dimensional angles and repeat the operation and analysis process;
[0140] If all of them do not meet the requirements, a construction adjustment failure message is generated and sent to the corresponding project management personnel for processing;
[0141] According to the analysis, the corresponding longitudinal construction adjustment result or the lateral construction adjustment result is set as the deviation adjustment data, and the obtained deviation adjustment data is verified and analyzed by the corresponding project management personnel, and it is determined whether to send it to the construction response module according to the verification and analysis results;
[0142] It should be further explained that, in the specific implementation process, the data adjustment module updates the vertical and horizontal correlation map and the preliminary construction map of the network engineering project corresponding to the corresponding project code according to the determined adjustment results or construction results in the process of obtaining the corresponding construction data, and stores the updated vertical and horizontal correlation map and the preliminary construction map.
[0143] The construction response module is used to provide construction feedback according to the deviation adjustment data, and send the feedback to the corresponding construction personnel, who then make construction adjustments. The specific implementation process includes:
[0144] Obtain the construction adjustment data corresponding to the corresponding construction process data, and the corresponding staff responds according to the obtained construction adjustment data to complete the construction process corresponding to the corresponding construction process data;
[0145] The corresponding construction adjustment failure information is obtained, and the management personnel corresponding to the network engineering project analyze and process the construction process data corresponding to the network engineering, and re-enter the corresponding network engineering project information according to the analysis and processing results, and re-analyze and process.
[0146] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A network engineering construction intelligent supervision system, including a project management platform, characterized in that: The project management platform is provided with a project management module, a project planning module, a construction monitoring module, a data analysis module, a data adjustment module and a construction response module; The project management module is used to obtain network engineering project information, extract semantic features of the network engineering project information, obtain corresponding objective construction information and subjective construction information, and generate project data packages; The project planning module is used to obtain historical network engineering project information, and build a network engineering association map based on the historical network engineering project information, plan and analyze the construction process of the corresponding project based on objective construction information and subjective construction information, obtain construction process information, set corresponding preset supervision process standard indicators based on the construction process information, and build a preliminary construction map corresponding to the corresponding project and a multi-dimensional and interrelated vertical and horizontal association map based on the construction process information; The construction monitoring module is used to monitor the construction process of network engineering projects and obtain corresponding construction monitoring data; The data analysis module is used to analyze and process the obtained construction monitoring data according to the corresponding preset supervision process standard indicators in the vertical and horizontal correlation maps, and obtain the construction deviation data according to the analysis results; The data adjustment module is used to obtain the construction deviation data corresponding to the corresponding construction process information, analyze and process the construction deviation data according to the preliminary construction map and the corresponding vertical and horizontal association map, and obtain the construction adjustment data; The construction response module is used to obtain construction adjustment data, and the corresponding staff will respond according to the construction adjustment data to complete the corresponding construction process.
2. According to claim 1, a network engineering construction intelligent supervision system is characterized in that: The process of obtaining network engineering project information and generating corresponding project data packages includes: Entering network engineering project information through a project management module, wherein the network engineering project information includes construction project statement information and construction project specification document data; The obtained network engineering project information is subjected to semantic feature analysis based on a semantic analysis algorithm to obtain corresponding lexical semantics, sentence structure semantics and contextual semantics, and the obtained lexical semantics, sentence structure semantics and contextual semantics are subjected to progressive statistical analysis in turn. The progressive statistical analysis results are integrated to obtain the final analysis result, and the network engineering project information is divided into objective construction information and subjective construction information according to the final analysis result, and a corresponding project data packet is generated.
3. According to claim 2, a network engineering construction intelligent supervision system is characterized in that: The process of building a network engineering association map in the project planning module includes: Obtain historical network engineering project information, perform task decomposition on historical network engineering construction data, obtain historical construction process data corresponding to each historical network engineering construction data, perform classification processing based on the obtained historical construction process data, construct a historical construction process data set based on the classification processing results, perform feature extraction on the historical construction process data set, and obtain corresponding construction feature data; A three-dimensional operation flow axis is set, and the three-dimensional operation flow axis is segmented according to the number of classification processing results to obtain corresponding construction space segments, and the construction space segments are set as construction process type nodes; the historical construction process data sets corresponding to each construction process type node are analyzed and processed in turn from a multi-dimensional perspective to obtain corresponding related data; The nodes of each construction process type are associated and integrated according to the obtained associated data, and the network engineering association map is obtained according to the integration results.
4. A network engineering construction intelligent supervision system according to claim 3, characterized in that: The process of constructing the preliminary construction map corresponding to the corresponding network engineering project includes: Obtain the project data package, decompose the construction process of the corresponding network engineering project according to the objective construction information and subjective construction information in the project data package, and obtain the construction process data corresponding to the project data package; Obtain a network engineering association map, compare and analyze the obtained construction process data with the corresponding construction process type nodes in the network engineering association map, and obtain the corresponding construction process type nodes according to the comparison and analysis results; Based on objective construction information and subjective construction information, the construction feature data in the corresponding construction process type nodes are compared and analyzed, and the associated data corresponding to the qualified construction feature data are extracted to obtain the corresponding preliminary construction map.
5. A network engineering construction intelligent supervision system according to claim 4, characterized in that: The process of constructing a multi-dimensional and interrelated vertical and horizontal correlation map based on the construction process information includes: Obtain objective construction information and subjective construction information corresponding to the construction process information, allocate objective conditions to the operation steps corresponding to the construction process information according to the objective construction information, obtain the initial supervision process standard indicators corresponding to the corresponding construction process information, adjust the initial supervision process standard indicators within an adjustable range according to the subjective construction information, and obtain the preset supervision process standard indicators; Set up a blank map, set up map nodes in the blank map according to the construction process information, and analyze the preset supervision process standard indicators corresponding to the map nodes from multiple angles; The preset supervision process standard indicators corresponding to the multi-dimensional angle analysis results in the corresponding map nodes are vertically associated; the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angle analysis results between the corresponding map nodes are horizontally associated; Mark the vertical and horizontal associations in the blank map to obtain vertical and horizontal association maps.
6. A network engineering construction intelligent supervision system according to claim 5, characterized in that: The process of obtaining the construction monitoring data of the construction process of the corresponding network engineering project includes: Acquire construction process data of the corresponding network engineering project, and set a corresponding construction monitoring method according to the construction process data, wherein the construction monitoring method includes manual collection monitoring and equipment collection monitoring; The construction monitoring data corresponding to the corresponding construction process data is obtained through manual collection monitoring and equipment collection monitoring, and the obtained construction monitoring data is sent to the data analysis module.
7. A network engineering construction intelligent supervision system according to claim 6, characterized in that: The process of obtaining construction deviation data includes: Obtain the corresponding graph node in the vertical and horizontal correlation graph to which the construction monitoring data belongs, and obtain the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the graph node; The obtained construction monitoring data is standardized according to the corresponding multi-dimensional angles, and the standardized construction monitoring data is compared and analyzed with the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles in the corresponding map nodes. If the construction monitoring data does not meet the preset supervision process standard indicators corresponding to the corresponding multi-dimensional angles, the construction deviation data between the construction monitoring data and the corresponding preset supervision process standard indicators is obtained.
8. A network engineering construction intelligent supervision system according to claim 7, characterized in that: The process of obtaining construction adjustment data includes: Obtain construction deviation data corresponding to corresponding construction process data, obtain construction feature data corresponding to corresponding construction process type nodes in the preliminary construction map based on the obtained construction deviation data, analyze and process the construction deviation data based on the obtained construction feature data, and obtain corresponding longitudinal construction adjustment data; Compare and analyze the obtained vertical construction adjustment data with the preset supervision process standard indicators corresponding to the multi-dimensional angles of the vertical association in the corresponding map node in the vertical and horizontal association map. If they meet the requirements, directly mark the corresponding vertical construction adjustment data as construction adjustment data; If it does not meet the requirements, the construction characteristic data associated with the corresponding construction process type node in the preliminary construction map is obtained according to the obtained construction deviation data, and the construction deviation data is analyzed and processed according to the obtained construction characteristic data to obtain the corresponding horizontal construction adjustment data; The obtained horizontal construction adjustment data is compared and analyzed with the preset supervision process standard indicators corresponding to the multi-dimensional angles of horizontal association in the vertical and horizontal association map and the corresponding map nodes. If they meet the requirements, the corresponding horizontal construction adjustment data is directly marked as construction adjustment data. If they still do not meet the requirements, construction adjustment failure information is generated.
9. A network engineering construction intelligent supervision system according to claim 8, characterized in that: The construction response module is used to obtain the construction adjustment data corresponding to the corresponding construction process data obtained by the construction adjustment module, and the corresponding staff responds according to the obtained construction adjustment data to complete the construction process corresponding to the corresponding construction process data.