356 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 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 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 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 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 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 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 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.

The utility model relates to hoisting equipment for a bridge deck pass-keeping steel plate. The utility model discloses a hoisting device which comprises a flat car, a swing mechanism arranged on the flat car, a stand column arranged on an output shaft of the swing mechanism, a hoisting hydraulic cylinder hinged to the output shaft of the swing mechanism, a hydraulic telescopic arm hinged to the top end of the stand column and a hoisting winch arranged at the hinged end of the hydraulic telescopic arm. The guide roller set is arranged at the moving end of the hydraulic telescopic arm. According to the utility model, mechanical operation is carried out through the slewing mechanism, the lifting hydraulic cylinder, the hydraulic telescopic arm, the permanent magnet lifting jack and the like, so that rapid and safe lifting of a steel plate can be realized, the construction efficiency is greatly improved, the risk of manual operation is remarkably reduced, and remarkable economic benefits and social benefits are brought to the bridge construction industry.

The utility model relates to the technical field of foundation pit supporting in the building industry, in particular to a steel support hanging plate assembly. The steel support hanging plate assembly comprises N U-shaped hanging rings, the front end of each hanging ring tilts upwards, and N is larger than or equal to 1; the hanging plate comprises a hanging section which is in a plate shape and extends in the vertical direction, and N hanging holes are formed in the top of the hanging section; the supporting section is fixed at the bottom end of the hanging section, is plate-shaped and extends along the horizontal direction; wherein the hanging plate is hung on the N hanging rings through the N hanging holes. The steel support hanging plate assembly has the biggest characteristic that the steel support hanging plate assembly can be conveniently mounted and dismounted without the aid of tools, and the L-shaped hanging plate can be repeatedly used, so that the construction cost is reduced.

The invention relates to the technical field of construction safety management, in particular to a cloud platform-based construction industry operation condition risk evaluation system, which integrates cloud computing, Internet of Things and AI (artificial intelligence) technologies, and constructs a whole-process safety management system. Risk indexes are intelligently calculated in combination with an improved LEC-M model, four levels of risk levels are divided, and parameter customization is supported; multi-mode early warning is automatically triggered based on a risk threshold value, and rectification closed-loop management is realized through dynamic recheck; cloud architecture deployment is adopted, multi-terminal access and data interaction are supported, and data security is guaranteed through HTTPS encryption and an AES-256 technology; and the supervision docking module realizes real-time sharing of risk data, provides risk map visualization, historical data mining and AI auxiliary analysis, and supports risk trend prediction and intelligent recommendation of rectification schemes. According to the system, the accuracy and efficiency of building safety management are improved, and the intelligence from risk identification to supervision decision making is realized.

The invention discloses a construction industry intelligent construction site construction machinery management platform which comprises a sensing layer, a positioning module, a video monitoring module, a network transmission module, a platform layer and a risk planning module. The risk planning module is introduced, the module dynamically evaluates a current operation risk coefficient by analyzing historical accident data and an equipment operation rule, and intelligently adjusts the motion capture frequency of the video monitoring module accordingly, and when the risk coefficient is relatively high, the system automatically improves the monitoring frequency and strengthens the supervision strength on a high-risk time period or working condition; and when the risk is relatively low, the monitoring frequency is properly reduced, so that on the premise of ensuring the safety, system resource occupation is optimized, invalid data redundancy is avoided, the overall operation efficiency is improved, 'on-demand response 'of safety monitoring is realized, the supervision of a high-risk link is enhanced, resource waste and privacy dispute caused by all-weather high-frequency monitoring are avoided, and the safety of the system is improved. And flexibility and scientificity of intelligent management are embodied.

The invention discloses a high-strength halogen-free flame-retardant PC (polycarbonate) material and a preparation method thereof. The high-strength halogen-free flame-retardant PC material is prepared from the following raw materials in parts by weight: 68-99.98% of polycarbonate resin; 0.01 to 25% of a flame retardant; 0.01 to 5% of a synergistic flame retardant; and 0-2% of a processing aid. The halogen-free flame-retardant PC material prepared by the invention can be applied to the fields of automobile industry, aerospace industry, building industry and the like.

The invention relates to a concrete raw material weighing system and method based on a multistage discharging control strategy, and the system achieves the precise weighing of concrete raw materials through integrating a high-precision weighing sensor, a PLC controller, an electric actuator and an integrated sensor system. The system adopts a multi-stage discharging control strategy which comprises a high-speed discharging stage, a medium-speed discharging stage, a low-speed discharging stage and a single-particle discharging mode so as to adapt to different material characteristics and weighing requirements. And through an adaptive learning algorithm and an intelligent prediction model, discharging parameters can be dynamically adjusted, the material falling speed and weight can be predicted, and the weighing precision and stability can be improved. The technical bottleneck of traditional automatic equipment in coarse aggregate weighing is effectively solved, the concrete raw material detection efficiency and accuracy are improved, a new quality control tool is provided for the building industry, and the concrete raw material weighing device has important practical value and wide application prospects.

The invention relates to the technical field of intelligent construction in the construction industry, and particularly discloses an intelligent construction method and system based on artificial intelligence and intelligent equipment. The method comprises the following steps of S1, engineering information input, S2, construction scheme planning, S3, intelligent construction and collaborative operation, S4, digital twinning real-time mapping, S5, a monitoring and optimization stage and S6, intelligent construction efficiency evaluation. According to the invention, a building engineer inputs a three-dimensional engineering model and intelligent equipment information, and a strong artificial intelligence central system automatically identifies and splits the model and deduces a construction scheme; the intelligent equipment receives an instruction for collaborative operation through 5G communication, and obtains a construction collaborative efficiency evaluation coefficient and a construction quality evaluation coefficient through analysis; according to the intelligent building efficiency evaluation system and method, through cooperation of technologies such as artificial intelligence and cloud computing with distributed operation of the intelligent robot, refined and efficient production is achieved, and intelligent upgrading of the building industry is promoted.

The invention discloses a building industry multi-source heterogeneous data storage and retrieval method, and relates to the technical field of big data storage and retrieval, and the method comprises the steps: constructing a unified domain ontology based on preprocessed data, obtaining double-six-tuple fusion data, obtaining a simplest knowledge graph based on the double-six-tuple fusion data, and obtaining a unified domain ontology based on the simplest knowledge graph; the method comprises the following steps: establishing an event unit index structure, matching a to-be-queried user request with an event through an event unit index, calculating a matching score, obtaining a query event result according to a descending order of the score, and fusing data by introducing double six-tuples (an attribute six-tuple and a relation six-tuple), so that attributes and relations between entities are captured; and time, space and state information are integrated, so that the dynamic characteristics and context association of the building industry data are comprehensively described, the storage and retrieval efficiency of the building industry multi-source heterogeneous data is high, and the accuracy is improved.

The invention is suitable for the technical field of recruitment and employment, and provides a blue collar post intelligent recommendation method and system based on multi-dimensional analysis, and the method comprises the following steps: building a multi-dimensional data system covering workers and posts, the multi-dimensional data system comprising worker data and post data; constructing worker portraits and post demands through multi-dimensional analysis; matching the worker portrait with a post demand, and generating a personalized recommendation result with a selection function; and sending the personalized recommendation result to a worker individual and a construction party in an information pushing manner, so that the worker and the construction party perform bidirectional selection. The method is specially applied to the aspect of temporary workers in the building industry, an information intercommunication way between workers and construction parties is opened, and the operation efficiency of the building industry is remarkably improved.