447 results about "Construction industry" patented technology

The invention discloses a multi-agent cooperation system and method based on spatial calculation and multi-modal AI fusion, and the method comprises the steps: collecting all real-time data of a construction site through a multi-modal data collection and fusion unit, and carrying out the processing and integration of all collected data through a multi-modal AI algorithm, and generating a unified semantic association model; a three-dimensional virtual environment of a construction site is constructed through a space calculation unit, real-time synchronous mapping is formed for the construction site, and dynamic changes in the construction process are simulated and predicted; task allocation and behavior planning are carried out on multiple agents through an agent behavior management unit; and the intelligent agents are configured to perform real-time information sharing and task cooperation through a communication protocol through the multi-intelligent-agent cooperation unit. According to the scheme, the problems of difficulty in multi-source data integration, low cross-department cooperation efficiency, insufficient construction dynamic adjustment and the like in intelligent construction in the building industry can be solved.

The invention relates to the technical field of engineering construction management and control, in particular to an engineering construction management and control method and system based on digital twinning. The method comprises the following steps: acquiring real-time construction engineering data and regional environment data, identifying a real-time structured construction state and generating a three-dimensional simulation model, then acquiring a target construction engineering plan and performing process node positioning to calculate a real-time engineering progress deviation, performing compensation simulation based on the deviation, and determining an engineering construction development trend. And then environment constraint mapping and resource conflict analysis are performed to generate corresponding data, and an optimized construction path conforming to environment constraint and resource conditions is screened out through construction optimization path mining of the simulation model, so that the construction efficiency and the management level are improved. According to the invention, the competitiveness and sustainable development capability of the building industry are enhanced, and an efficient and transparent engineering management system is finally formed.

The invention relates to the technical field of ship construction, and discloses an intelligent diagnosis and early warning method for ship final assembly construction quality potential safety hazards. The method comprises the following steps: receiving real-time sensing data of a plurality of detection nodes in ship construction, and analyzing the real-time sensing data through a pre-trained quality feature extraction model to generate a hidden danger feature vector and a risk level; and dynamically generating a hidden danger diagnosis strategy according to the sequence, wherein the hidden danger diagnosis strategy comprises a detection equipment scheduling instruction and a defect repair priority sequence. And utilizing the pre-trained hidden danger ship dynamic model to predict a defect diffusion trend, adjusting a dynamic response threshold value, optimizing, updating and repairing a priority sequence through an adaptive genetic algorithm, and outputting a quality early warning instruction to a ship construction management system. The method can accurately diagnose and early warn potential quality safety hazards, reasonably dispatch resources, improve the ship construction quality and safety, reduce the cost, and promote the intelligent development of the ship construction industry.

The invention relates to the technical field of construction industry project cost, and provides a project cost management system based on big data, the core of the system is to integrate a big data technology and comprehensively manage project cost, data management covers links of acquisition, storage, analysis and maintenance, data quality and safety are ensured, and a foundation is built for cost management; the accurate cost analysis uses multiple algorithm models to deeply mine data association, so that accurate prediction and fluctuation reason analysis are realized, and cost optimization is assisted; the efficient business logic layer and the user interaction layer cooperatively operate, the business function is complete, the process is smooth, the interface is friendly, the visualization is strong, and a feedback channel is arranged to promote optimization; data acquisition is wide, storage is efficient, and the method is far better than a traditional scheme; the analysis depth and the visualization effect are prominent, and a more valuable decision basis is provided; the system is complete in business function and scientific in management, improves enterprise cost control and decision-making capability, and is good in user experience and high in safety.

The invention provides a 3D modeling method based on a digital twin city, and belongs to the technical field of 3D city modeling. Through a multi-source semantic data fusion acquisition means, space-time semantic tags are added to various types of data, the problem of multi-source data isomerism is solved, and semantic unification and efficient fusion of different types of data are realized; by means of hierarchical dynamic modeling means, a building component network is constructed based on triple association of geometry, functions and semantics, so that a model structure better conforms to the logic of the building industry, and the reasonability and efficiency of modeling are improved; a virtual-real two-way mapping means is applied, incremental updating of the model is triggered through a cross-modal semantic comparison algorithm, limitation of traditional static modeling is broken through, and dynamic synchronization of the virtual model and the physical world is achieved; an intelligent optimization means is adopted, a multi-constraint-condition generative adversarial network is combined with a visual attention mechanism, it is ensured that generated textures conform to building geometric features and material specifications, and meanwhile intelligent distribution of rendering resources is achieved.

The invention relates to the cross technical field of building materials and microorganism mineralization, and discloses a hollow fiber mediated biological concrete carbon fixation fiber, a preparation method and concrete.The carbon fixation fiber comprises a fiber carrier providing a transportation path and a diffusion channel for CO2 and carbon fixation microorganisms loaded on the fiber carrier, and the solid carbon fibers are applied to concrete as reinforcing fibers. According to the invention, carbon-fixing microorganisms are loaded on the surface of a fiber carrier with a hollow structure, so that carbon-fixing fibers with a stable microorganism-carrier composite system are formed; the carbon fixation fiber is applied to concrete, a transportation path and a diffusion channel are provided for CO2 in a concrete matrix through hollow mediation, and through directional mineralization of carbon fixation microorganisms on an interface where the reinforced fiber and the concrete are replaced, the carbon fixation amount is increased, meanwhile, the interface bonding force is enhanced, and the low-carbon concrete with the high CO2 storage capacity and the excellent mechanical property is prepared. And a new material and a new process are provided for a carbon neutralization target in the building industry.

The invention discloses a polysiloxane elastic waterproof coating and a preparation method thereof, and the polysiloxane elastic waterproof coating comprises the following raw materials: 35-60 parts of methyl polysiloxane resin, 8-12 parts of acrylic resin, 15-20 parts of a filler, 2-5 parts of a thickener, 1-3 parts of a dispersant, 1-3 parts of a coalescing agent, 1-2 parts of an antifoaming agent, 1-3 parts of a leveling agent and 10-20 parts of water. The polysiloxane elastic waterproof coating is obtained by mixing and stirring all the raw materials according to a reasonable proportion, and the polysiloxane elastic waterproof coating is obtained after the coating is dried, and the polysiloxane elastic waterproof coating provided by the invention has excellent adhesion performance, waterproof performance, tensile performance and aging resistance; the waterproof paint can be widely applied to waterproofing of metal materials and building industries.

The invention discloses a project quality management monitoring system, which belongs to the field of project monitoring and comprises a data acquisition and integration module used for acquiring and primarily processing data information of a construction site; the BIM model deviation monitoring module is used for constructing an accurate building engineering BIM model and carrying out effective deviation monitoring; and the quality analysis module is used for analyzing the data stored in the data storage module, and analyzing whether the construction material quality parameters meet the standard or not and whether the personnel working hour utilization efficiency, the equipment operation state and the construction progress meet the plan or not in the construction process. According to the invention, by integrating a plurality of modules, automatic acquisition, integration, analysis and early warning of construction site data are realized, the efficiency and effect of project quality management are improved, the cost is reduced, the project quality is improved, and the management level of the construction industry is effectively improved.

The invention discloses a concrete quality three-level monitoring device and method, and belongs to the technical field of concrete construction. The method aims at solving the cracking problem caused by factors such as temperature stress and shrinkage stress in mass concrete construction and the key technical problems such as data islanding phenomenon and regulation and control lag in an existing monitoring method. According to the technical scheme, a three-level monitoring system of pouring layer-cooling layer-structural layer is constructed, and various key parameters such as temperature, humidity, flow velocity and cooling water flow of concrete in pouring, cooling and stabilizing stages are accurately monitored in real time; the central controller is used for carrying out real-time analysis processing and dynamic regulation and control on the data, so that comprehensive, accurate and continuous monitoring on the concrete construction quality is realized; the method is mainly applied to monitoring scenes of mass concrete construction quality, concrete cracking can be effectively prevented, the engineering quality and safety are remarkably improved, and reliable technical guarantee is provided for the concrete construction industry.

The present invention discloses a method for material classification and attribute extraction in the construction industry based on a large language model, including constructing a traditional database and a vector database based on a standard classification system data set and a full category data set; inputting irregular text, and retrieving the irregular text based on a large language model using a standard classification name vector database, a standard classification sample vector database, a full category classification name vector database, and a full category classification sample vector database to obtain retrieval information; performing preliminary matching and secondary matching on the retrieval information based on the large language model to obtain a material classification name; and extracting attributes of the material classification name from a traditional database based on the large language model to obtain material attributes. The present invention utilizes the semantic understanding ability of the large language model and the information retrieval mechanism to integrate multi-source data, thereby achieving efficient and accurate material classification and attribute extraction.

The invention provides a BIM (Building Information Modeling) full life cycle splitting and cross-model synchronization method and system. The method comprises the steps that BIM model components are coded based on a full life cycle coding rule, private attributes of all engineering stages and component codes of the engineering stages are bound and stored in component extension attributes, and a BIM master model containing multi-stage attribute information is generated; setting a BIM model splitting rule based on a rule engine; the code of each component in the BIM model is analyzed, the codes are compared with screening conditions in the splitting rules according to levels, and component data corresponding to the successfully matched codes are packaged and stored as sub-models; establishing association mapping between the models; and when the source model is modified, the synchronization engine executes synchronous updating of the target model according to the association mapping between the source model and the target model associated with the source model, so that the cross-stage multi-participant cooperation efficiency is improved, and a solid technical support is provided for digital transformation of the construction industry.

The invention discloses a co-extrusion-molded microporous polyphenyl particle phase change energy storage gradient water stop thermal insulation structural slab, the thermal insulation structural slab sequentially comprises an EVA water stop layer, a strength layer and a thermal insulation layer from outside to inside, the EVA water stop layer is prepared by doping EVA rubber powder and fly ash into cement; the strength layer is made of high-strength cement; the heat preservation layer is made of microporous polystyrene foaming particles, microcapsules containing phase change materials and foaming cement. Through innovative design and material selection, the heat preservation performance of the gradient water stop heat preservation layer structural slab is gradually reduced from inside to outside so as to meet the requirements of different environment temperatures, the highest waterproof performance is provided on the outermost layer of the structure, and the heat preservation performance is gradually reduced inwards so as to reduce condensation of internal moisture; and an efficient, environment-friendly and economical solution is provided for the building industry. The invention solves the problem of balance between thermal insulation performance and fireproof performance of the traditional building thermal insulation material, and improves the problems of insufficient waterproof performance, limited heat energy storage capacity and the like of the traditional material.

The invention provides an automatic construction method and equipment for a building electromechanical system circuit, and the method achieves the quick construction of a building electromechanical system and the efficient retrieval of key paths of equipment through abstracting the equipment attributes and the connection relation into a directed graph and automatically generating the connection relation between the equipment through a link prediction graph neural network model. The method can be used for automatically generating the mutual connection relation between the devices according to given device attributes, so that rapid construction of a building electromechanical system and efficient retrieval of key paths of the devices are achieved, and basic data are provided for the functions of device fault positioning, abnormal energy consumption analysis and the like in the building operation and maintenance stage. According to the method, the efficiency and accuracy of electromechanical system design are improved, reliable basic data support is provided for the functions of equipment fault positioning, abnormal energy consumption analysis and the like in the building operation and maintenance stage, meanwhile, a data link of electromechanical system design, construction and operation and maintenance is broken through, and technical support is provided for digital and intelligent transformation of the building industry.

The invention belongs to the technical field of building materials, and particularly relates to a building thermal insulation aerogel material and a preparation method, the aerogel material comprises the following components by mass: 25-35 parts of a silicon source, 40-80 parts of a solvent, 0.3-0.6 part of a catalyst, 4-13 parts of an aluminum source, 9-20 parts of reinforcing fibers, 4-10 parts of a modifier, and 20-40 parts of carrier fibers; the silicon source is ethyl orthosilicate or methyl trimethoxy silane; the solvent is absolute ethyl alcohol; the catalyst is hydrochloric acid or ammonia water; the aluminum source is aluminum nitrate nonahydrate or aluminum isopropoxide; the reinforced fibers are nano titanium dioxide fibers; the modifying agent is gamma-aminopropyl triethoxy silane or gamma-methacryloyloxy propyl trimethoxy silane, and the modifying agent is gamma-aminopropyl triethoxy silane or gamma-methacryloyloxy propyl trimethoxy silane; the carrier fiber is rock wool or mineral wool. According to the invention, the thermal insulation aerogel material for buildings, which is high in mechanical strength, good in weather resistance and excellent in thermal insulation performance, can be prepared, so that the requirements of the building industry on high-performance thermal insulation materials can be met.

The invention relates to the technical field of green low carbon and the field of structural design, and discloses an assembly type structure design method, device and equipment and a storage medium, the method comprises the following steps: writing an initial population size, a maximum number of iterations, a crossover rate, a mutation rate and constraint conditions in configuration information in terms of mechanical properties and constraint conditions of a construction industry chain of an assembly type structure; according to the configuration information, a preset genetic algorithm is adopted to process the variable parameters, and a design scheme meeting the mechanical property of the fabricated structure is obtained; and through the objective function, processing the standard value of the construction carbon emission corresponding to each design scheme and the standard value of the bending strength of each design scheme to obtain a comprehensive index corresponding to each design scheme, and selecting the design scheme with the minimum comprehensive index as the optimal design scheme meeting the mechanical property of the fabricated structure. According to the method, the high-strength and low-carbon optimal design scheme can be quickly obtained.

The invention discloses a multi-motor cooperative angle adjusting method for concrete grinding equipment, and relates to the technical field of industrial automation control. Concrete surface data are collected through multiple sensors, data accuracy is ensured through data fusion and Kalman filtering, then the angle of a grinding head and the rotating speed of a motor are dynamically adjusted through inverse kinematics and fuzzy control, the grinding head is made to be in the optimal working state, and the grinding quality and efficiency are improved; meanwhile, a reinforcement learning algorithm optimizes polishing parameters, and the adaptability to a complex surface is enhanced; and an intelligent adjusting mechanism reduces manual intervention, reduces equipment abrasion, prolongs the service life, reduces the construction cost, and provides an efficient and intelligent grinding scheme for the building industry.

The invention discloses a building structure design method based on multi-objective optimization, and relates to the technical field of building structure design, a data input module is utilized to input parameters which need to reach an objective at the beginning of building structure design and actual structure parameters, and a comparison and evaluation module is utilized to evaluate a building structure. And sequentially calculating and outputting the structural strength JQ, the structural stability index JW and the cost-benefit index JC of the building structure, adjusting the strength, the stability and the cost of the design of the building structure according to the compared and evaluated structure, and controlling the iteration of the whole design process by utilizing an iteration control module until the design meets all the targets required to be achieved at the beginning of the design. According to the method, the effects of comprehensively evaluating the structural strength, guiding material selection, improving the design efficiency, ensuring the structural safety, optimizing the structural design and reducing the maintenance cost are achieved, the beneficial effects jointly form a solid foundation of building structural design, and powerful support is provided for high-quality development of the building industry.

The invention discloses a building industry multi-subject collaborative full life cycle carbon emission management system and method, and relates to the technical field of building industry carbon emission management. The system comprises a carbon perception and data collaboration module, a carbon simulation and deduction module, a carbon optimization and collaborative regulation and control module, a carbon accounting and auditing traceability module and a carbon decision and knowledge generation module. Multi-source heterogeneous data is converted into a carbon flow unit with time, space and responsibility subject attributes, data checking, locking and compliance sharing are achieved by means of a multi-subject data collaboration pool, carbon data barriers among all responsibility subjects are broken through, the problems of fragmentization of carbon data collection and lack of collaboration are solved, and the data collection efficiency is improved. And meanwhile, the carbon accounting and audit traceability module completes multi-dimensional accounting based on the carbon flow unit, and establishes a digital carbon chain pointing to an original data source and a responsibility subject, so that full-link traceability of carbon emission data is realized.

The invention relates to the technical field of cementing materials, in particular to a green high-performance solid-waste-based cementing material as well as a preparation method and application thereof. The green high-performance solid waste-based cementing material is prepared from the following raw materials in parts by weight: 15 to 25 parts of cement clinker, 15 to 25 parts of desulfurized gypsum, 0 to 5 parts of quick lime, 50 to 60 parts of superfine slag powder, 0 to 18 parts of red mud, 0 to 10 parts of manganese slag, 0 to 10 parts of carbide slag, 0 to 15 parts of fly ash, 0 to 10 parts of alkaline residue and 0 to 2 parts of exciting agent. According to the preparation process of the material, effective utilization of solid waste is realized, efficient resource conversion of the solid waste is promoted, and carbon dioxide emission in the high-energy-consumption clinker production process is remarkably reduced; other industrial wastes can be solidified in the production process, heavy metal polluted soil and wastewater are treated, energy consumption and pollution emission are reduced, and sustainable development of the building industry is facilitated.

The invention discloses an intelligent examination and approval management method for the housing and construction industry, and the method comprises the steps: collecting examination and approval application data, carrying out the data cleaning, data deduplication and data standardization operation of the examination and approval application data, and obtaining preprocessed data; constructing a data classification model based on a machine learning algorithm, and performing material classification on the preprocessed data by using the data classification model to obtain a material classification result; according to a material classification result, performing primary processing and risk assessment on the preprocessed data by using an intelligent auditing system to obtain a risk score; performing secondary processing on the pre-processed data by using an expert system to obtain a personalized approval scheme; and examining and approving the preprocessed data according to the personalized examination and approval scheme, and storing the risk score and the examination and approval result to an intelligent examination and approval system. The invention relates to the technical field of examination and approval management, and solves the technical problems of low data quality, lack of flexibility and intelligence and the like of an existing residence construction examination and approval system.

An adhesive tape and methods of use in cold or hot environments, such as in the construction industry, wherein the adhesive tape includes a pressure sensitive adhesive layer (preferably, an acrylic pressure sensitive adhesive layer) disposed on a backing (preferably, a multilayer backing).

The present invention is drawn to an adhesive or binder composition comprising, —a cationic polyelectrolyte, —an anionic polyelectrolyte, —a mineral salt selected from the group consisting of alkaline metal or alkaline earth metal halogenides, —a particulate mineral filler, —a water-soluble polyphenol comprising at least one polyhydroxylated aromatic ring structure, and —water It is also drawn to the use of such a composition as an adhesive, binder, coating or sealant in the construction industry.

The invention relates to the technical field of concrete 3D printing, in particular to modified alkali-resistant regenerated glass fiber reinforced concrete and a preparation process thereof, and the modified alkali-resistant regenerated glass fiber reinforced concrete is prepared from the following components in parts by weight: 600-650 parts of cement, 90-100 parts of fly ash, 30-35 parts of silica fume, 500-600 parts of river sand, 0.5-6 parts of modified alkali-resistant regenerated glass fibers, 10-15 parts of a water reducing agent and 120-200 parts of water. According to the invention, the regenerated glass fiber obtained by recovering the waste fan blades is used as a reinforcing material of the concrete, so that the resource consumption can be effectively reduced, and the carbon emission is reduced; the invention provides a surface modification method aiming at regenerated glass fibers, so that the long-term durability of the regenerated glass fibers in an alkaline cement matrix is enhanced, the generation of microcracks on a fiber and cement interface is reduced, and the constructability and excellent mechanical properties of the 3D printing concrete are improved. The method not only meets the requirements of digital and intelligent transformation and upgrading of the building industry, but also provides a new method for recycling of waste resources and sustainable development of the building industry, and has relatively high economic and environmental benefits.

The utility model relates to the field of constructional engineering, in particular to an assembly type combined steel trestle structure. According to the technical scheme, the device comprises a trestle beam fixedly arranged in a foundation pit; the trestle box is fixedly laid above the trestle beam; and the antiskid panel is fixed on the surface of the trestle box. The foundation pit trestle has the beneficial effects that by arranging the trestle box assembled through the steel structure, rapid mounting and dismounting of the foundation pit trestle are achieved, input of unrecyclable resources and generation of construction waste are greatly reduced, carbon emission is reduced, and transformation and upgrading of the construction industry are promoted.

The invention relates to the technical field of building industry material supply chains, in particular to a material supply chain intelligent recommendation method and system for the building industry, and the method comprises the following steps: a supplier uploads a report on a platform, and the platform generates an archive data packet and synchronizes the archive data packet to a purchase cloud platform; the purchase cloud platform generates industry labels after receiving the data, calculates index scores and builds a table to form a classification index system; a buyer submits a demand, the platform analyzes the demand and then executes a screening mechanism, and suppliers are screened and comprehensively scored to form a scheme list; the buyer evaluates, selects and generates an order, and the platform updates inventory and logistics information. Through a multi-dimensional data processing technology, supplier information is comprehensively recorded, classification indexes are constructed, and accurate screening is achieved; the screening standard is flexibly adjusted by applying a dynamic scoring and hierarchical screening technology; through the grouping and parallel computing technology, the global problem is disassembled, and the computing efficiency is improved; through a comprehensive scoring technology, suppliers are objectively evaluated, the purchasing efficiency is finally improved, and supply chain matching is optimized.

The invention discloses a BIM-based building structure detection method, and relates to the field of building structures, and the method comprises the following steps: S1, geometric detection: S11, detecting whether an artificially extracted building model and a live-action model are tightly nested or not, and detecting whether the geometric shape, size and position of a building meet design requirements or not; s12, constructing an analysis system; s13, based on the analysis system constructed in the step S12, carrying out automatic analysis on the average distance and error between each plane of the model and the original live-action model; s14, based on the analysis system constructed in the step S12, performing contrastive analysis on the three-dimensional live-action model one by one; s15, carrying out quality inspection statistical evaluation on the real scene model; s16, constructing a cloud architecture batch processing system; according to the BIM-based building structure detection method, the accuracy, the automation degree, the comprehensiveness and the efficiency of the BIM-based building structure detection method can be remarkably improved, and therefore powerful support and optimization means are provided for the design, construction and management stages of the building industry.

The invention relates to the field of 3D printing, and particularly discloses high-toughness and high-tack polyester for 3D printing and a preparation method thereof.The polyester is prepared from, by mass, 0.2-3% of antioxidant, 0.1-3% of dispersing agent and the balance matrix resin; the matrix resin comprises the following raw materials: binary acid, dihydric alcohol, a graft polymer, a catalyst and a protective agent. According to the polyester, a graft polymer containing active groups such as hydroxyl is introduced into matrix resin, so that the melt uniformity of a whole blending system is improved, the interface energy is reduced, a polyester molecular chain is easier to cross an interlayer interface to move and entangle, stronger physical connection is formed, layers are easier to bond and do not crack during 3D printing, and the 3D printing performance is improved. The adhesive has excellent interlayer adhesive force, meets the application requirement of high additional value in the field of industrial-grade 3D printing, and can be used in the fields of outdoor artware, construction industry, aerospace, medical instruments and the like.

The invention discloses an urban construction industrial carbon reduction path optimization and determination system, medium and equipment, and the system is characterized in that a model composed of an industrial carbon reduction object evaluation index obtaining module, an industrial carbon reduction object typing module, an industrial carbon reduction technology path generation module and a carbon reduction technology path optimization module is established; a comprehensive evaluation function is constructed for the industry of the city construction boundary range class through a genetic algorithm and the city based on the development characteristics of the city, so that the optimal carbon reduction technology path under each industry type is obtained, and finally, the economical efficiency and carbon reduction performance comprehensive optimal carbon reduction technology path in the low-carbon city construction industry field is formed. The path can fully reflect the advantages and characteristics of urban low-carbon development and the carbon reduction target, the carbon reduction target of the city can be achieved conveniently, the problem that the industrial carbon reduction path is unknown in the current urban construction process is effectively solved, and the urban construction industrial carbon reduction path conforming to the urban development policy is provided while the urban economic development is guaranteed.

A delivery device suitable for delivering a chemical substance, e.g. a medical device such as a catheter, a microcapsule, an implantable capsule or a P-ring, or a delivery device for use in the construction industries e.g. in the form of microcapsules comprising antifouling agent for marine paint. The delivery device includes a closed cavity, the cavity is defined by an innermost wall surface, wherein at least a section of the inner wall surface constitutes an inner surface of a delivery membrane wherein the delivery membrane includes an interpenetrating polymer network substrate comprising a host polymer and a guest polymer, where the guest polymer is interpenetrating the host polymer to form substantially continuous pathways within said host polymer.

The invention discloses a digital transformation maturity evaluation system and method based on a multi-dimensional quantitative index in the technical field of building industry digitization. The method comprises the following steps: acquiring various system data of an enterprise; the method comprises the following steps of: normalizing original data of sub-indexes of each dimension in data of each system of an enterprise through an evaluation engine deployed in a cloud server, weighting and aggregating, and calculating a comprehensive maturity index; calculating a dynamic evolution rate by using an evaluation engine in combination with historical comprehensive maturity index data, an enterprise resource investment ledger and an industry reference library; calculating bottleneck factors by using an evaluation engine in combination with enterprise self-evaluation data and an industry benchmark database; the enterprise bottleneck dimension is evaluated based on the bottleneck factor and then an improved scheme is fed back, the enterprise efficiency level is evaluated based on the dynamic evolution rate and then resource investment is adjusted, and the enterprise maturity is evaluated based on the comprehensive maturity index and then a stage route map is generated. According to the invention, the digital level of the building enterprise can be scientifically diagnosed, and transformation path planning is guided.