CN111144836A - Smart building integrated collaborative big data platform - Google Patents
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Abstract
The invention discloses an intelligent construction integrated collaborative big data platform, which belongs to the technical field of constructional engineering and information, and is characterized in that a data center is constructed based on cloud intelligence, data generated by business application and hardware equipment are collected to the data center, and the data center is responsible for storing and sharing the data and supports lean management and control of a project layer and intensive operation of enterprises; the data center comprises a basic supporting layer, a data resource layer, a service resource layer and a platform user layer, wherein the basic supporting layer provides a basic software and hardware operating environment for the platform; the data resource layer collects the data resource library and performs data acquisition, processing and management; the service resource layer realizes system operation and monitoring through a service bus, various service interfaces and an interface construction tool; the platform user layer is oriented to the whole company authorized access application. The invention provides a terminal application tool for a building construction project site management layer, improves the working efficiency, realizes information sharing and resource sharing, and creates better economic benefit and social benefit.
Description
Technical Field
The invention relates to the technical field of constructional engineering and information, in particular to an intelligent construction integrated collaborative big data platform.
Background
The traditional intelligent technology for building a site is few in application, different in data acquisition and transmission standards among devices and unstable in transmission, great difference application requirements exist in each project, each subsystem is single in function, software docking difficulty is large, integration level is poor, use is inconvenient, data are stored in a scattered mode, an information island exists, data are poor in transverse interaction, and data value is not effectively excavated and utilized. Due to the lag of data storage and management technology, the system use efficiency is rapidly reduced after the data volume reaches a certain scale.
The current building management mode has the following defects:
the resource is wasted, and a large amount of paper documents are needed; personnel are wasted, information collection is finished, a large amount of time is spent manually for statistical analysis, and a large amount of time and labor are wasted when paper files are submitted and reviewed.
In the aspects of system linkage and value mining, the intelligent technology of site management is less in application, the data acquisition and transmission standards among intelligent devices are different, and the transmission is unstable; the items have large differential application requirements, each subsystem has single function, the software docking difficulty is high, the integration level is poor, and the use is inconvenient; data are stored in a scattered mode, information islands exist, data are transversely exchanged poorly, and data value is not effectively excavated and utilized;
in the aspect of safety management, special equipment such as a hanging basket and a tower crane is more in investment, illegal operation and irregular behaviors occur occasionally, the supervision difficulty is high, and the risk is high; fire hazards are many, points are multiple and wide, holes are often formed in the protection of the edges and the peripheries, and personnel cannot see timely and cannot find the holes easily;
in the aspect of quality management, the construction site material management links are multiple, information exchange is not in place, materials have large influence on quality and are irreversible, and traceability is not strong; experience factors of people in concrete maintenance have great influence, common quality problems are easy to generate, and the common quality problems are difficult to eliminate;
in the aspects of construction and personnel management, a plurality of pollution sources are generated in a construction site, the dust monitoring and treatment difficulty is high, the water and electricity consumption of the construction site is high, the management is extensive, the comprehensive utilization rate is low, the resource waste is serious, and the water leakage phenomenon is not easy to prevent; the construction method has the advantages of large labor consumption, complex personnel structure, uneven quality, more management links, low informatization application degree, more nonstandard management phenomena, and frequent occurrence of labor disputes and group events.
Disclosure of Invention
The technical task of the invention is to provide an intelligent construction integrated collaborative big data platform aiming at the defects, provide a terminal application tool for a construction project field management layer, replace manual work and improve the working efficiency.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent construction integrated collaborative big data platform is characterized in that a data center is constructed based on cloud intelligence, data generated by business applications and hardware equipment are collected to the data center, the data center is responsible for storage and sharing of the data, and lean management and control and enterprise intensive operation of a project layer are supported;
the data center comprises a basic supporting layer, a data resource layer, a service resource layer and a platform user layer, wherein the basic supporting layer provides a basic software and hardware operating environment for the platform; the data resource layer collects the data resource library and performs data acquisition, processing and management; the service resource layer realizes system operation and monitoring through a service bus, various service interfaces and an interface construction tool; the platform user layer faces the whole company authorized access application;
the project layer lean management and control improves field intelligent management, and project related party cooperative management is realized;
the intensive operation of enterprises realizes the interconnection and intercommunication of data and forms linkage, thereby realizing the comprehensive management of construction sites. The process data generated by smart building is an indispensable basic data resource of the smart city, particularly BIM data, and the municipal road pipe network and building basic information is a core data resource of the smart city operation and maintenance. The intelligent construction experience data can be used as a reference template, and an expert base, a talent base, a knowledge base and a template engineering base which are formed can be used as reference resources for later engineering construction.
Building big data is a valuable asset for building enterprises and records not only where the project is completed for reference, but also where the project needs improvement. The analysis of a large amount of data in the past can provide reference for future project planning, investment budget and the like, so that the decision is not dependent on personal experience and intuition any more, the project cost is saved, and the project management efficiency is improved.
The intelligent construction development must be completely integrated with the whole project management and enterprise management, the work of production management, business management, material management, enterprise management and the like is assisted through the application of BIM, Internet of things and Internet technology in the intelligent construction, the scene of project management and control of 'playing chess' is formed, and all management departments completely achieve information sharing and resource sharing.
The platform provides a terminal application tool for a building construction project field management layer, replaces manual work, improves working efficiency, and achieves multi-project target execution and risk monitoring for a company manager. Through data acquisition, processing, storage and extraction, engineering project management data assets are accumulated, and intelligent data analysis and more intelligent comprehensive prediction are realized.
Preferably, the basic supporting layer builds a computing resource pool and a storage resource pool by newly purchasing and utilizing equipment and utilizing a cloud computing pooling technology, and provides a basic software and hardware operating environment for the platform according to application conditions.
Furthermore, the hardware operating environment provided by the basic supporting layer comprises computing resources, network resources and storage resources; the system software operating environment comprises a database, application middleware and other middleware, wherein the database comprises a relational database and a non-relational database, the application middleware comprises Java application middleware, data processing middleware and distributed data calculation, and the other middleware comprises a log service and a message service.
Preferably, the data resource layer comprises a basic information base for collecting data, a special database for service application and a series of tools for data acquisition, processing, resource management, data cataloging and data quality management, and specifically comprises a data resource base, data resource management and unified management, wherein the data resource base comprises a plurality of data resources, and the data resources are distributed in a distributed manner according to the data resources
The data resource library comprises a basic data resource library and a universal data resource library, the basic data resource library comprises a data collection library, a metadata library and core data, and the universal data resource library comprises a configuration library, a special question library and an association library;
the data resource management comprises data standard management, data integration management, data quality detection, data resource monitoring and data grading management;
unified management includes data standardization, technical kernel instrumentation, and metadata driven intelligence.
Preferably, the service resource layer comprises a resource service bus, an application tool set and a service interface, the resource service bus comprises access adaptation, access control, routing scheduling and log audit, the application tool set comprises data mining analysis, data map comprehensive query, data resource planning and acquisition and data quality analysis and promotion, and the service interface comprises an external application service interface, a data exchange service interface and a general data service interface.
Preferably, the platform user layer is oriented to the whole company authorized access application and mainly provides functions of authority management, construction enterprise project management application, project management cooperation, information release and management tracking.
The platform user layer comprises a hierarchical authorization module, a management decision module and an application system module, wherein the hierarchical authorization comprises a project level, a branch company level and a company level, the management decision comprises decision support, a physical examination table and full dynamic analysis, and the application system comprises quality management, safety management, equipment monitoring, visual inquiry, bid management, contract ledger, technical management, a visual form, construction period management, cost management, labor subcontract management and flexible flow configuration.
Further, the data center also comprises a platform management layer and a platform safety barrier layer, wherein the platform management layer is used for ensuring the stable and reliable operation of the platform, including application management and platform operation monitoring; the platform security barrier layer comprises security infrastructure, application log security audit, emergency backup and the like.
The intelligent construction data center aims at information integration, data sharing, full-factor linkage, barrier breaking and negative reduction improvement, an enterprise data center and a management system are built, low-cost operation and high-efficiency management of an enterprise are assisted, a monitoring analysis platform is built by relying on the data center, the engineering construction is enabled to go from experience judgment to quantitative analysis, intelligent and intelligent management is promoted, reference and reference are provided for engineering bid construction and operation and maintenance, engineering construction becomes reasonable and foundation, and experience advantages and technical advantages are made into the core competitiveness of the enterprise.
Preferably, the platform realizes full-flow BIM cooperation of a building based on virtual construction management of a data center and BIM, supports full-flow cooperation from design to construction, and ensures ductility and consistency of BIM data. Professional personnel in each field at each stage in the BIM design process perfectly support team internal cooperation through setting of authority, roles, projects and the like, and external participators (owners, supervision, subpackaging parties and the like) are brought into a cooperation platform to perform efficient and ordered management and cooperation. The platform is suitable for projects of any types and scales, and the high operation efficiency of the platform ensures the implementability of projects of different scales. Meanwhile, the participants in different places and areas can know the project progress anytime and anywhere, and effectively participate in the BIM design process. Seamless real-time communication is realized at the mobile terminal, design management and control, paperless construction management, construction site management and control and the like are better realized, and the feasibility and convenience of BIM application are greatly expanded.
And carrying out building big data management and analysis based on the data center, wherein the building big data management and analysis comprises engineering management process comprehensive analysis, labor big data analysis, material big data analysis, financial operation analysis, engineering technical capability comprehensive analysis, engineering project comprehensive management, cost management and project accepting capability analysis.
The comprehensive analysis of the engineering management process comprises production and management condition analysis, labor subcontract management analysis, complaint condition analysis, safety management condition analysis, green demonstration engineering management analysis and excellent project management result analysis.
The labor intensity data analysis comprises the steps of mastering the basic conditions of labor workers and the consumption behaviors of the field labor workers, predicting the safety risk of the field labor workers and predicting the practice credit system of the component labor workers.
Analyzing the big data of the materials, analyzing the material conditions, evaluating the material receiving management and use efficiency, and managing and analyzing by suppliers.
The financial operation analysis comprises comprehensive financial analysis, capital condition analysis, asset condition analysis, liability condition analysis, owner equity condition analysis, total cost condition analysis and profit condition analysis.
The engineering technology capability comprehensive analysis comprises engineering technology comprehensive analysis, optimization benefit rate analysis, optimization project analysis, application scheme category analysis, scientific and technological prize analysis, quality prize analysis and quality condition analysis.
And the engineering project comprehensive management comprises the steps of carrying out plan management and control analysis, managing and controlling project risks, comprehensively applying site data of a construction site, analyzing and monitoring risks, carrying out sand table deduction and carrying out performance evaluation analysis.
Cost management includes managing the cost overall process, predicting material costs, and performing cost benchmarking.
And the accepted project capacity analysis comprises market condition analysis, customer condition analysis, bid investment analysis and enterprise strategic analysis.
The method can generate massive data in the whole life cycle of the building, process and use massive engineering related data, and is the most key factor for realizing informatization. The application of the big data technology in the building industry provides more effective decision basis for decision makers through the sorting and analysis of a large amount of historical data.
The platform fully excavates and utilizes self big data, gradually finishes the change of a management mode from a rough type to a fine type, saves the resource cost, improves the production efficiency and further realizes the transformation and upgrading of the industry. And the information island is integrated, the data sharing is accelerated, the workload of service personnel is saved, and the intelligent conversion from traditional accounting to service analysis is realized. The work and management efficiency is improved, the data standard is unified, the fine management is promoted, and the engineering management and control are enhanced. Through big data analysis, the landing of strategic targets is promoted, the operation risk early warning capability of enterprises is improved, and the competitiveness of the enterprises is improved.
Preferably, the project layer lean management improves the field intelligent management level and improves the working efficiency and the performance capability. Meanwhile, a collaborative management system of project related parties is provided, and efficient collaborative work of the related parties is facilitated. The system comprises field intelligent management to improve the working efficiency and the performance capability, and a related party cooperative management system to facilitate the efficient cooperative work of the related parties;
the field intelligent management comprises a field management system, a labor real-name system, mechanical equipment monitoring, an intelligent construction site and video monitoring;
the related party cooperative management system interface comprises a subcontracting party, an owner, a proctoring and other interfaces.
Preferably, enterprises operate intensively, data interconnection and intercommunication are realized among all applications, linkage is formed, meanwhile, a platform displays key indexes, data and analysis results to a project manager in a project BI mode in a centralized mode, problems are identified intelligently and early-warned, and accordingly digital, online and intelligent comprehensive management of a construction site is realized;
the enterprise intensive operation comprises a decision support system based on big data analysis and real-time analysis of enterprise information operation process, wherein
The decision support system based on big data analysis comprises engineering technology, optimized benefit, group implementation scheme, plan management and control, cost analysis, profit analysis and safety quality;
the real-time analysis of the enterprise information operation process comprises a comprehensive management system, a manpower management system, a customer management system, project risk analysis and enterprise strategic analysis.
Compared with the prior art, the intelligent construction integrated collaborative big data platform has the following beneficial effects:
the platform integrates the current advanced information technology of the Internet of things (IoT), Artificial Intelligence (AI), Big Data (Big Data), a Building Information Model (BIM) and the like, a Big Data platform in the building industry is built, business Data are converged to a Data center, effective Data modeling, Data analysis and Data decision support are provided for enterprises, an intensive and flat information management platform is created, the enterprises are assisted to carry out scientific development planning and lean management, each management department forms a project management and control 'chess', information sharing and resource sharing are completely achieved, and better economic benefit and social benefit are created.
Drawings
FIG. 1 is a block diagram of a cloud-based wisdom building data center;
FIG. 2 is a block diagram of data center support project level lean management and enterprise intensive operations.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
The utility model provides a big data platform is in coordination established to wisdom, this platform is based on high in the clouds wisdom and is built data center, collects the data that business application and hardware equipment produced to data center, and data center is responsible for the storage and the sharing of data, supports the lean management and control of project level and enterprise's intensification operation.
By advanced technologies and comprehensive application of 'cloud big object moving intelligence + BIM' and the like, the factors such as people, machines, materials, methods, rings, measurement and the like involved in the construction process are dynamically collected in real time, the improvement of construction quality, cost and progress level by field operating personnel and project managers is effectively supported, the success of engineering projects is ensured, and an intelligent construction assembly line taking progress as a main line and cost as a core is formed.
The data center comprises a basic supporting layer, a data resource layer, a service resource layer and a platform user layer.
The basic supporting layer provides a basic software and hardware operating environment for the platform. The basic supporting layer builds a computing resource pool and a storage resource pool through equipment purchase and old utilization and by utilizing a cloud computing pooling technology, and provides a basic software and hardware operating environment for the platform according to application conditions.
The hardware operation environment provided by the basic supporting layer comprises computing resources, network resources and storage resources; the system software operating environment comprises a database, application middleware and other middleware, wherein the database comprises a relational database and a non-relational database, the application middleware comprises Java application middleware, data processing middleware and distributed data calculation, and the other middleware comprises a log service and a message service.
And the data resource layer collects the data resource library and performs data acquisition, processing and management. The data resource layer comprises a basic information base for collecting data, a special database for service application and a series of tools for data acquisition, processing, resource management, data cataloging and data quality management, and specifically comprises a data resource base, data resource management and unified management, wherein the data resource base comprises a plurality of data sources, a plurality of data sources
The data resource library comprises a basic data resource library and a universal data resource library, the basic data resource library comprises a data collection library, a metadata library and core data, and the universal data resource library comprises a configuration library, a special question library and an association library;
the data resource management comprises data standard management, data integration management, data quality detection, data resource monitoring and data grading management;
unified management includes data standardization, technical kernel instrumentation, and metadata driven intelligence.
The service resource layer realizes system operation and monitoring through a service bus, various service interfaces and interface construction tools. The service resource layer comprises a resource service bus, an application tool set and a service interface, the resource service bus comprises access adaptation, access control, routing scheduling and log audit, the application tool set comprises data mining analysis, data map comprehensive query, data resource planning and acquisition and data quality analysis and promotion, and the service interface comprises an external application service interface, a data exchange service interface and a general data service interface.
The platform user layer is oriented to the whole company authorized access application. The system mainly provides the functions of authority management, construction enterprise project management application, project management cooperation, information release and management tracking.
The platform user layer comprises a hierarchical authorization module, a management decision module and an application system module, wherein the hierarchical authorization comprises a project level, a branch company level and a company level, the management decision comprises decision support, a physical examination table and full dynamic analysis, and the application system comprises quality management, safety management, equipment monitoring, visual inquiry, bid management, contract ledger, technical management, a visual form, construction period management, cost management, labor subcontract management and flexible flow configuration.
The data center also comprises a platform management layer and a platform safety barrier layer, wherein the platform management layer is used for ensuring the stable and reliable operation of the platform, and comprises application management and platform operation monitoring; the platform security barrier layer comprises security infrastructure, application log security audit, emergency backup and the like.
The intelligent construction data center aims at information integration, data sharing, full-factor linkage, barrier breaking and negative reduction improvement, an enterprise data center and a management system are built, low-cost operation and high-efficiency management of an enterprise are assisted, a monitoring analysis platform is built by relying on the data center, the engineering construction is enabled to go from experience judgment to quantitative analysis, intelligent and intelligent management is promoted, reference and reference are provided for engineering bid construction and operation and maintenance, engineering construction becomes reasonable and foundation, and experience advantages and technical advantages are made into the core competitiveness of the enterprise.
The project layer lean management and control improves field intelligent management, and project related party cooperative management is realized;
the intensive operation of enterprises realizes the interconnection and intercommunication of data and forms linkage, thereby realizing the comprehensive management of construction sites. The process data generated by smart building is an indispensable basic data resource of the smart city, particularly BIM data, and the municipal road pipe network and building basic information is a core data resource of the smart city operation and maintenance. The intelligent construction experience data can be used as a reference template, and an expert base, a talent base, a knowledge base and a template engineering base which are formed can be used as reference resources for later engineering construction.
The project layer lean management improves the field intelligent management level and improves the working efficiency and the performance capability. Meanwhile, a collaborative management system of project related parties is provided, and efficient collaborative work of the related parties is facilitated. The system comprises field intelligent management to improve the working efficiency and the performance capability, and a related party cooperative management system to facilitate the efficient cooperative work of the related parties;
the field intelligent management comprises a field management system, a labor real-name system, mechanical equipment monitoring, an intelligent construction site and video monitoring;
the related party cooperative management system interface comprises a subcontracting party, an owner, a proctoring and other interfaces.
The method comprises the steps that enterprises operate intensively, interconnection and intercommunication of data are achieved among applications, linkage is formed, meanwhile, key indexes, data and analysis results are displayed to a project manager in a project BI mode in a centralized mode through a platform, and early warning is carried out on problems in an intelligent recognition mode, so that digital, online and intelligent comprehensive management of a construction site is achieved;
the enterprise intensive operation comprises a decision support system based on big data analysis and real-time analysis of enterprise information operation process, wherein
The decision support system based on big data analysis comprises engineering technology, optimized benefit, group implementation scheme, plan management and control, cost analysis, profit analysis and safety quality;
the real-time analysis of the enterprise information operation process comprises a comprehensive management system, a manpower management system, a customer management system, project risk analysis and enterprise strategic analysis.
The platform provides a terminal application tool for a building construction project field management layer, replaces manual work, improves working efficiency, and achieves multi-project target execution and risk monitoring for a company manager. Through data acquisition, processing, storage and extraction, engineering project management data assets are accumulated, and intelligent data analysis and more intelligent comprehensive prediction are realized.
The platform realizes full-flow BIM cooperation of a building based on virtual construction management of a data center and BIM, supports full-flow cooperation from design to construction, and ensures ductility and consistency of BIM data. Professional personnel in each field at each stage in the BIM design process perfectly support team internal cooperation through setting of authority, roles, projects and the like, and external participators (owners, supervision, subpackaging parties and the like) are brought into a cooperation platform to perform efficient and ordered management and cooperation. The platform is suitable for projects of any types and scales, and the high operation efficiency of the platform ensures the implementability of projects of different scales. Meanwhile, the participants in different places and areas can know the project progress anytime and anywhere, and effectively participate in the BIM design process. Seamless real-time communication is realized at the mobile terminal, design management and control, paperless construction management, construction site management and control and the like are better realized, and the feasibility and convenience of BIM application are greatly expanded.
The platform collects or makes videos of some construction processes, technologies, complex node making technologies and the like, or a visual video cross-bottom video library can be formed through BIM animation simulation construction, relevant learning videos can be searched on line and locally, and the videos are played through terminal equipment. And synchronizing to the mobile phone APP, and inquiring and watching the intersection video anytime and anywhere by workers.
The platform fully excavates and utilizes self big data, gradually finishes the change of a management mode from a rough type to a fine type, saves the resource cost, improves the production efficiency and further realizes the transformation and upgrading of the industry. And the information island is integrated, the data sharing is accelerated, the workload of service personnel is saved, and the intelligent conversion from traditional accounting to service analysis is realized. The work and management efficiency is improved, the data standard is unified, the fine management is promoted, and the engineering management and control are enhanced. Through big data analysis, the landing of strategic targets is promoted, the operation risk early warning capability of enterprises is improved, and the competitiveness of the enterprises is improved.
And carrying out building big data management and analysis based on the data center, wherein the building big data management and analysis comprises engineering management process comprehensive analysis, labor big data analysis, material big data analysis, financial operation analysis, engineering technical capability comprehensive analysis, engineering project comprehensive management, cost management and project accepting capability analysis.
The comprehensive analysis of the engineering management process comprises production and management condition analysis, labor subcontract management analysis, complaint condition analysis, safety management condition analysis, green demonstration engineering management analysis and excellent project management result analysis.
The labor intensity data analysis comprises the steps of mastering the basic conditions of labor workers and the consumption behaviors of the field labor workers, predicting the safety risk of the field labor workers and predicting the practice credit system of the component labor workers.
Analyzing the big data of the materials, analyzing the material conditions, evaluating the material receiving management and use efficiency, and managing and analyzing by suppliers.
The financial operation analysis comprises comprehensive financial analysis, capital condition analysis, asset condition analysis, liability condition analysis, owner equity condition analysis, total cost condition analysis and profit condition analysis.
The engineering technology capability comprehensive analysis comprises engineering technology comprehensive analysis, optimization benefit rate analysis, optimization project analysis, application scheme category analysis, scientific and technological prize analysis, quality prize analysis and quality condition analysis.
And the engineering project comprehensive management comprises the steps of carrying out plan management and control analysis, managing and controlling project risks, comprehensively applying site data of a construction site, analyzing and monitoring risks, carrying out sand table deduction and carrying out performance evaluation analysis.
Cost management includes managing the cost overall process, predicting material costs, and performing cost benchmarking.
And the accepted project capacity analysis comprises market condition analysis, customer condition analysis, bid investment analysis and enterprise strategic analysis.
The implementation and application of the application platform for intelligently building field data are only one tool for engineering project management, the tool is used, problems are raised, thought concepts are continuously refreshed and continuously improved, management modes and management granularity are continuously optimized, an integrated planning scheme from design to operation is formed by means of BIM, after design and construction delivery, models and data formed by overall engineering construction provide abundant and basis historical data and drawing information for subsequent property operation, building management (maintenance) and city management, meanwhile, the intelligent building integrated information platform construction is a platform or a system capable of recording experiences and teaching pens, an interactive communication platform of a knowledge base, a shared base and an expert base is provided for subsequent engineering construction, and a resource base is sufficiently contributed to project innovation and enterprise innovation development. The method is characterized in that the activities related to human, machine, material, method, environment and measurement in the construction process are uniformly recorded in an intelligent construction site database, the functions of various factors on project management and enterprise management are comprehensively analyzed, and the factors are quantized and analyzed to optimize resource utilization, so that the effects of cost reduction and efficiency improvement on engineering construction projects are achieved.
The intelligent construction big data application platform is developed, the intelligent construction field big data application platform is popularized on construction projects, and the informatization level of the project construction process is improved; the platform provides application services as required through the SaaS mode. The application can be provided for a plurality of companies to use simultaneously, the enterprises do not need to spend a large amount of expenses to buy the whole set of software, and the cost and the threshold for obtaining the software and the hardware are reduced.
The intelligent building BIM full-flow cooperation platform is an integrated platform, is a building full-flow BIM cooperation solution, supports full-flow cooperation from design to construction, and ensures ductility and consistency of BIM data. At different stages of the project, different stakeholders support and reflect the cooperative work of their respective responsibilities by inserting, extracting, updating and modifying information in the BIM. Supporting collision detection in a design phase; the technical scheme is supported in the bidding stage to calculate the virtual bidding engineering quantity; the construction stage supports dynamic cost tracking, capital plan measurement and calculation and progress payment auditing;
the data analysis of the intelligent decision is supported, and more effective decision basis is provided for decision makers through sorting and analyzing a large amount of historical data.
In the practical application of a building enterprise, an intelligent building data center and a big data application platform are built by building an integrated building platform of the building industry, and the integrated platform is a building full-flow BIM cooperation platform and a decision analysis system. The method provides effective data modeling, data analysis and data decision support for enterprises, creates an intensive and flat information management platform, and assists the enterprises to carry out scientific development planning and lean management, thereby completely realizing information sharing and resource sharing.
The platform provides tools such as data dictionary customization, application customization, workflow customization and the like to maintain the content of each application subsystem, and a user can customize or modify an application form, flexibly change a workflow and the like. The platform provides uniform security services for each application system, including user authentication, authority authentication and the like; meanwhile, the safety service of the platform can be combined with the safety scheme of the whole system to provide a comprehensive safety solution.
An enterprise data center and a management system are built, low-cost operation and high-efficiency management of enterprises are assisted, a monitoring analysis platform is built by relying on the data center, engineering construction is enabled to go from experience judgment to quantitative analysis, intelligent and intelligent management is promoted, reference and reference are provided for construction and operation and maintenance of engineering bidding, and engineering construction becomes reasonable and well-documented.
The integrated platform is a building full-flow BIM cooperative work platform, supports full-flow cooperation from design to construction, and ensures ductility and consistency of BIM data. At different stages of the project, different stakeholders support and reflect the cooperative work of their respective responsibilities by inserting, extracting, updating and modifying information in the BIM.
The problems that the intelligent technology of the construction site is less in application, the data acquisition and transmission standards among intelligent devices are different, and the transmission is unstable in the existing construction are solved; the method has the advantages that large differentiation application requirements exist in each project, each subsystem has a single function, software docking difficulty is high, data is lack of standardization, integration level is poor, and use is inconvenient; the data center is not available, the data has information isolated island, the transverse interaction is poor, and the data value is not effectively excavated and utilized. The data storage and management technology is backward, the system use efficiency is rapidly reduced after the data volume reaches a certain scale, and the response speed is slow; the construction industry is difficult to realize the importance of big data to enterprise development, and the data related to the big data are usually abandoned or forgotten after a construction project is completed, so that the utilization value of the big data can not be exerted; traditional BIM application is not fused with project fine management items, more BIM technologies are applied to a construction site, and the advantages are complemented with the integration of an integrated information platform, so that the use of construction site data is more intelligent, accurate and timely, and the real-time performance and the automation degree of a system are improved.
The present invention can be easily implemented by those skilled in the art from the above detailed description. It should be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the basis of the disclosed embodiments, a person skilled in the art can combine different technical features at will, thereby implementing different technical solutions.
In addition to the technical features described in the specification, the technology is known to those skilled in the art.
Claims (10)
1. An intelligent construction integrated collaborative big data platform is characterized in that the platform is based on a cloud intelligent construction data center, data generated by business application and hardware equipment are collected to the data center, the data center is responsible for storage and sharing of the data, and lean management and control and enterprise intensive operation of a project layer are supported;
the data center comprises a basic supporting layer, a data resource layer, a service resource layer and a platform user layer, wherein the basic supporting layer provides a basic software and hardware operating environment for the platform; the data resource layer collects the data resource library and performs data acquisition, processing and management; the service resource layer realizes system operation and monitoring through a service bus, various service interfaces and an interface construction tool; the platform user layer faces the whole company authorized access application;
the project layer lean management and control improves field intelligent management, and project related party cooperative management is realized;
the intensive operation of enterprises realizes the interconnection and intercommunication of data and forms linkage, thereby realizing the comprehensive management of construction sites.
2. The intelligent construction integrated cooperative big data platform as claimed in claim 1, wherein the basic support layer utilizes cloud computing pooling technology to build a computing resource pool, a storage resource pool and a software and hardware operating environment for providing a basis for the platform according to application conditions through equipment purchase and utilization.
3. The intelligent construction integrated cooperative big data platform of claim 1 or 2, wherein the hardware operating environment provided by the basic support layer comprises computing resources, network resources and storage resources; the system software operating environment comprises a database, application middleware and other middleware, wherein the database comprises a relational database and a non-relational database, the application middleware comprises Java application middleware, data processing middleware and distributed data calculation, and the other middleware comprises a log service and a message service.
4. The intelligently built integrated collaborative big data platform of claim 1, wherein the data resource layer comprises a data resource library, data resource management and unified management, wherein
The data resource library comprises a basic data resource library and a universal data resource library;
the data resource management comprises data standard management, data integration management, data quality detection, data resource monitoring and data grading management;
unified management includes data standardization, technical kernel instrumentation, and metadata driven intelligence.
5. The intelligent construction integrated cooperative big data platform as claimed in claim 1, wherein the service resource layer comprises a resource service bus, an application tool set and a service interface, the resource service bus comprises access adaptation, access control, routing scheduling and log audit, the application tool set comprises data mining analysis, comprehensive data map query, data resource planning and acquisition and data quality analysis and promotion, and the service interface comprises an external application service interface, a data exchange service interface and a general data service interface.
6. The intelligent building integrated collaborative big data platform of claim 1, wherein platform user layer functions include rights management, construction enterprise project management applications, project management collaboration, information publishing and management tracking.
7. The intelligent construction integrated cooperative big data platform according to claim 1, 2, 4, 5 or 6, wherein the data center further comprises a platform management layer and a platform security barrier layer, the platform management layer is used for ensuring the stable and reliable operation of the platform, and comprises application management and platform operation monitoring; the platform security barrier layer comprises security infrastructure, application log security audit and emergency backup.
8. The intelligent construction integrated cooperative big data platform of claim 1, wherein based on the virtual construction management of the data center and the BIM, the full-flow BIM cooperation of the building is realized; and carrying out building big data management and analysis based on the data center, wherein the building big data management and analysis comprises engineering management process comprehensive analysis, labor big data analysis, material big data analysis, financial operation analysis, engineering technical capability comprehensive analysis, engineering project comprehensive management, cost management and project accepting capability analysis.
9. The intelligent construction integrated collaborative big data platform of claim 1, wherein the project level lean management comprises on-site intelligent management to improve work efficiency and performance capability, and a related party collaborative management system to facilitate efficient collaborative work of related parties;
the field intelligent management comprises a field management system, a labor real-name system, mechanical equipment monitoring, an intelligent construction site and video monitoring;
the related party cooperative management system interface comprises a subcontracting party, an owner, a proctoring and other interfaces.
10. The intelligent construction integrated collaborative big data platform according to claim 1 or 9, characterized in that enterprises operate intensively, data interconnection and intercommunication are realized among applications and linkage is formed, meanwhile, the platform centrally presents key indexes, data and analysis results to a project manager in a project BI mode, and intelligently identifies problems for early warning, thereby realizing digital, online and intelligent comprehensive management of a construction site;
the enterprise intensive operation comprises a decision support system based on big data analysis and real-time analysis of enterprise information operation process, wherein
The decision support system based on big data analysis comprises engineering technology, optimized benefit, group implementation scheme, plan management and control, cost analysis, profit analysis and safety quality;
the real-time analysis of the enterprise information operation process comprises a comprehensive management system, a manpower management system, a customer management system, project risk analysis and enterprise strategic analysis.
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