7791 results about "Building material" patented technology

The invention discloses an intelligent building energy-saving optimization platform and method based on carbon footprint tracking, and relates to the technical field of building energy saving and carbon emission management. The method is used for solving the problems of extensive carbon emission evaluation, rigid quota distribution and insufficient energy-carbon collaboration. A three-dimensional carbon density map is constructed by collecting people flow, equipment energy consumption and environment data in real time, and carbon emission hotspots are dynamically identified. And analyzing the association between the power grid and the renewable energy source through a carbon flow tracking model, and correcting a weight output contribution matrix. The characteristics of equipment energy efficiency, building material hidden carbon emission and the like are fused to construct a carbon emission gene entropy, a quota migration strategy is generated in combination with a game algorithm, and oriented transfer from high carbon to low carbon buildings is promoted. A double-ring collaborative framework is constructed, an inner ring chaos search optimization device starts and stops to suppress carbon density fluctuation, an outer ring carbon price mapping adjusts energy storage scheduling, accurate carbon emission tracing, quota dynamic allocation and energy-carbon deep collaboration are achieved, building low-carbon transformation is supported, and the building cluster carbon emission reduction efficiency is improved.

The invention relates to a building material mining life cycle process carbon emission improvement potential quantification method comprising the following steps: constructing a full life cycle carbon footprint digital model covering mining, transportation, processing and restoration, and integrating a digital twinning and BIM technology dynamic correlation carbon emission factor library; key carbon emission influence factors are identified through Monte Carlo simulation and regression analysis; establishing a multi-objective optimization model, generating an optimal process parameter combination by adopting an intelligent algorithm, and quantifying the emission reduction potential; model parameters are dynamically calibrated in combination with real-time data, and a closed-loop optimization mechanism is formed; space-time distribution visualization and block chain evidence storage technologies are introduced, and accurate monitoring, intelligent decision making and credible tracing of carbon emission are achieved. According to the method, the problems of data lag and single optimization in a traditional method are solved, the accuracy of carbon emission and the feasibility of an emission reduction scheme are remarkably improved, meanwhile, carbon sink offset evaluation is supported, and a whole-process technical support is provided for mine green transformation.

The invention discloses fiber-reinforced anti-crack concrete and a preparation method thereof, and relates to the technical field of building materials, the fiber-reinforced anti-crack concrete comprises the following raw material components: 310-450 parts of cement, 150-190 parts of water, 930-1200 parts of coarse aggregate, 630-800 parts of fine aggregate, 80-180 parts of mineral active admixture, 1.2-18 parts of multi-element composite fiber, 1.8-4.5 parts of polycarboxylic acid water reducer, and 20-35 parts of anti-crack synergistic system. Through a quaternary fiber system, a three-dimensional interlocking net-shaped crack-resistant framework is formed in concrete slurry, the problems that the single fiber reinforcement effect is limited, and the interface bonding force with a concrete matrix is insufficient are solved, and the crack resistance and the mechanical property of the concrete are improved.

The invention discloses a concrete mix proportion optimization method and system based on machine learning, and particularly relates to the technical field of intelligent proportioning of building materials, and the method comprises the following steps: constructing a mapping model of target performance indexes by using raw material performance parameters and historical trial matching data, cross-station mix proportion optimization is carried out based on real-time sensing data of a plurality of mixing stations, the resonance relation between the moisture content of raw materials and the iteration frequency of a model is monitored in the dynamic construction process, and a parameter smoothing and disturbance suppression mechanism is triggered to correct a mix proportion scheme. The corrected mix proportion adjustment scheme is applied to raw material controlled feeding of multiple mixing stations; according to the method, the quality of training samples is improved through unified data processing, a multi-dimensional mapping model is constructed to realize cross-mixing-station performance consistency optimization, and a resonance detection and disturbance suppression mechanism is introduced to ensure the stability and anti-interference capability of mix proportion adjustment under a dynamic construction condition; therefore, high-performance, low-cost and high-robustness concrete intelligent optimization control is realized.

The invention relates to the technical field of intelligent building energy management, and particularly discloses an air conditioner load cluster optimization regulation and control method and system based on building thermal inertia modeling, and the method comprises the steps: collecting building structure parameters, building material thermophysical parameters, indoor and outdoor temperature and humidity historical data, air conditioner operation data and real-time electricity price data of a building; building a building thermal inertia model based on the collected data; inputting the collected air conditioner operation data, indoor and outdoor temperature and humidity historical data into a building thermal inertia model, and predicting air conditioner loads under different working conditions; constructing an optimized objective function, and solving the optimized objective function by adopting a genetic algorithm to obtain an optimal air conditioner load regulation and control strategy; and according to the optimal air conditioner load regulation and control strategy, the air conditioner load cluster is regulated and controlled in real time. The energy utilization efficiency can be effectively improved, the operation cost is reduced, and intelligent and refined regulation and control of the air conditioner load cluster are achieved.

The invention discloses a special large language model for a solid waste cementing material and an innovative hypothesis generation method thereof, which realize accurate understanding and reasoning of information such as material composition, process parameters, mechanical properties and the like by constructing a special knowledge graph in the field of materials, combining experimental data vector retrieval and fusing a mixed retrieval enhanced generation technology, so that the innovative hypothesis generation of the solid waste cementing material is realized. And a scientific reasoning module is used for deducing a material design rule to generate a potential innovation hypothesis. The method effectively breaks through the problems of long development period and low innovation efficiency of traditional materials, and is suitable for the fields of low-carbon building material development and solid waste high-valued utilization.

The invention relates to a flame-retardant and heat-insulating aerogel composite material as well as a preparation method and application thereof, and belongs to the technical field of novel building materials. The fiber aerogel is prepared through coaxial electrostatic spinning, an injector containing a polymer spinning solution is connected to a skin layer needle tube connecting port, an injector containing air is connected to a core layer needle tube connecting port, coaxial electrostatic spinning is carried out to prepare micron fibers with skin-core structures, the micron fibers fall on a receiving base material, and the micron fibers with the skin-core structures fall on the receiving base material. A hollow fiber aerogel material with a three-dimensional fluffy structure is obtained, in-situ growth of hydrated nano silicate particles is carried out after thermal crosslinking treatment, the nano silicate particles grow along the fiber surface and cover the micron fiber surface of the hollow fiber aerogel material, and the aerogel composite material is obtained. The hydrated nano silicate particle growth solution comprises polyvinyl alcohol, calcium salt, silicate and aluminum salt. The prepared aerogel composite material has excellent flame retardance and heat insulation performance and is suitable for being used as a building material.

The invention discloses a building material multi-parameter intelligent detection and analysis system, relates to the technical field of building material detection and monitoring, and is used for solving the problem of early abnormality recognition of a building material. According to the method, the dynamic change trend of the concrete material in the early maintenance stage is effectively described by constructing the multi-parameter state vector and combining the behavior evolution model, and the atypical abnormal behaviors such as early dehydration, structure segregation and reaction stagnation can be accurately recognized. Based on a non-linear classification and risk linkage mechanism, a response strategy matched with a behavior state is quickly generated, the intelligent level of detection and decision making is improved, a particularly introduced emergency triggering and short message quick response mechanism can quickly generate a minimum control instruction and directly reach a construction terminal after a high-risk state is identified, and the safety of the construction terminal is improved. Rapid intervention and action closed loop control are achieved, the recognition precision is higher, the response efficiency is higher, the anti-interference capacity is higher, and the method can be widely applied to concrete intelligent maintenance and structure early-stage quality control scenes.

The invention relates to a high-strength stable solid waste-based composite cementing material and a preparation method and application thereof in the field of building materials. The high-strength stable solid waste-based composite cementing material is prepared from the following raw materials in parts by weight: 70-85 parts of composite solid waste micro powder; 10 to 20 parts of Portland cement clinker; 3-8 parts of a composite activator; 0.5 to 2 parts of a nano-scale function regulator; wherein the composite solid waste micro powder is prepared by mixing and grinding the following raw materials in parts by weight: 40-60 parts of blast furnace slag powder; 20 to 30 parts of fly ash; 10-20 parts of chemically modified electrolytic manganese residue powder; and 5-15 parts of steel slag powder. According to the preparation method, sodium metasilicate is adopted to assist medium-temperature calcination to chemically modify the electrolytic manganese residues, so that not only is the gelation activity of the electrolytic manganese residues effectively excited, but also free-state manganese, cadmium and other heavy metal ions in the electrolytic manganese residues are fixed in situ in newly formed zeolite-like silicate mineral lattices through thermochemical reconstruction; and a brand new technical path is opened up for safe and high-value utilization of the typical hazardous waste, namely the electrolytic manganese residues.

The invention provides a concrete super-early-strength quick-hardening material, and relates to the field of building materials. The high-strength concrete comprises the following components in percentage by mass: 40%-50% of calcium aluminate, 30%-40% of gypsum, 8%-15% of high aluminum, 1%-3% of an additive, 3%-12% of an exciting agent and 1%-5% of an auxiliary material. According to the super-early-strength quick-hardening material provided by the invention, hour-level strength can be quickly and stably improved, and the strength increasing curve of each age is smooth and stable, so that the requirements of scenes such as road repair and tunnel construction on early strength can be met; it can be guaranteed that the 28-day compressive strength of the material breaks through 70 MPa, the later strength is kept stable, and the long-term safety of an engineering structure is guaranteed; the anti-seepage, anti-freezing and anti-erosion capabilities are realized in a complex environment, the service life of a project can be effectively prolonged, and the maintenance cost is reduced. In addition, the invention further provides a preparation method of the concrete super-early-strength and quick-hardening material, and the preparation method is used for preparing the super-early-strength and quick-hardening material provided by the invention.

The invention discloses a high-performance green and environment-friendly single-component polymer cement waterproof dry blend and a preparation method thereof, and relates to the technical field of building materials, the high-performance green and environment-friendly single-component polymer cement waterproof dry blend comprises the following components: an inorganic cementing material, latex powder, graded quartz sand, a functional filler, cellulose ether, an organic silicon defoamer, a polycarboxylic acid water reducer and compound fibers; the functional filler is modified waste glass powder prepared through mechanical activation and silanization modification; the compound fiber is a mixture of modified glass fiber and modified polypropylene fiber; the preparation of the modified glass fiber comprises tannic acid and polyethyleneimine combined modification and graphene oxide modification, and the preparation of the modified polypropylene fiber comprises plasma activation. The polymer cement waterproof dry blend prepared by the method adopts the glass powder to replace natural mineral filler, is energy-saving and environment-friendly, and the cement matrix is modified by various fibers, so that the prepared polymer cement dry blend is excellent in comprehensive performance.

The invention discloses a material supply and resource recovery collaborative scheduling method and system, and belongs to the technical field of logistics scheduling, and the method comprises the steps: obtaining a material supply instruction and a garbage recovery instruction, carrying out the image recognition of a building garbage picture, obtaining the garbage attribute, and generating a demand instruction library; the method comprises the following steps: establishing a feature knowledge base, setting a spatial clustering method, carrying out spatial clustering and time window screening, carrying out geographic coordinate analysis and time sequence sorting on material demand points and recovery points, generating an initial task pool, setting a loading matching method, and generating a material supply and recovery loading schematic diagram according to building material and garbage attributes; a circulation path is planned, a path planning method is set, an ant colony algorithm is used for initial path planning, a monitoring feedback method is set, data are returned in real time, the running state of the vehicle is monitored, and an alarm is given out immediately once abnormity is found; and the sorted and regenerated aggregate data is synchronized to a building material database, a resource feedback method is set, a reverse transportation task is identified, and a material supply and resource recovery closed loop is formed.

The invention relates to the technical field of building materials, and particularly discloses a lightweight high-strength waterproof gypsum board and a preparation method thereof, the lightweight high-strength waterproof gypsum board comprises alpha-type high-strength gypsum, phosphogypsum, gradient lightweight aggregate, hydrophobic fiber, temperature-sensitive waterproof capsule and the like. The preparation method comprises the following steps: preparing the hydrophobic fiber, the gradient lightweight aggregate and the temperature-sensitive waterproof capsule, dry-mixing the components, mixing the dry-mixed components with water to form slurry, and pouring and curing. Lightweight and high strength are realized through cooperation of the gradient lightweight aggregate and the hydrophobic fiber, and the temperature-sensitive waterproof capsule releases components to fill pores during curing, so that the problem of insufficient early-stage waterproof performance is solved; the prepared gypsum board has the advantages of light weight, high strength, good waterproofness and durability.

The invention relates to the technical field of supply chain management, in particular to a digital visual management system and method applied to a building material supply chain. The method comprises the following steps: acquiring real-time position data, material attribute data and time sequence node data; performing data preprocessing and integration on the real-time position data, the material attribute data and the time sequence node data to obtain standard building material supply chain data; obtaining a construction drawing; basic building materials of the standard building material supply chain data are extracted based on the construction drawing, wherein the basic building materials comprise concrete, reinforcing steel bars and building blocks; building pouring abnormity monitoring is carried out based on the concrete, the steel bars and the building blocks, and pouring abnormity monitoring data is generated. Through multi-source data integration, ternary coupling analysis, scheduling optimization and three-dimensional dynamic visualization, the problems of information island, scheduling conflict and low management efficiency of the building material supply chain are solved, and intelligent, efficient and transparent management of the supply chain is realized.

The invention provides a filling process prediction method and device based on a discrete element method and data driving, and relates to the technical field of bulk material forming, and the method combines the physical modeling advantage of the discrete element method and the powerful prediction capability of a data driving method. The filling process of the granular material under different process parameters is simulated through a discrete element method, key quality indexes are obtained to serve as input of a data driving model, and the process parameters serve as output for training. The model not only can accurately predict the filling quality, but also can adjust the process parameters in real time according to the target quality index, so that the intelligent optimization of the filling process is realized. According to the method, the calculation efficiency is greatly improved, the generalization ability of the model is enhanced, the dependence on empirical data is reduced, a more efficient and accurate solution is provided for the filling process in the industries of building materials, pharmacy, powder metallurgy and the like, the product quality is improved, the production cost is reduced, and the research, development and application of novel materials and equipment are accelerated.

The invention discloses a high-content steel slag-based functionalized nano-composite cementing material and a preparation method thereof, and belongs to the technical field of solid waste resource comprehensive utilization. The nano composite cementing material is prepared from the following raw materials in parts by mass: 50 to 65 parts of steel slag, 10 to 20 parts of fly ash, 10 to 25 parts of carbide slag, 8 to 15 parts of desulfurized gypsum, 0.3 to 1.0 part of nano silicon dioxide and 0.003 to 0.03 part of silane coupling agent. On the basis of a solid waste synergism theory and an internal alkali excitation effect, quaternary solid wastes such as steel slag and fly ash are optimized and compounded by adopting methods of mechanical-thermal activation, addition of modified nano silicon dioxide, synergistic gelling between solid wastes and the like; the paint is prepared through gradient grinding and a medium-temperature wet curing process. The preparation method is simple, high-temperature calcination is not needed, cement clinker and exogenous excitant do not need to be added, the obtained cementing material can replace part of cement to be applied to the fields of road bases, mine filling, low-carbon building material products and the like, resource utilization and high-value utilization of regional bulk industrial solid waste can be achieved, and carbon emission and production cost are effectively reduced.

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 relates to the technical field of building materials, in particular to a fabricated ALC light wallboard and a mounting method thereof.The fabricated ALC light wallboard comprises a bottom support unit arranged on the ground, the bottom support unit comprises a bottom support frame arranged on the ground, the bottom support frame is of a U-shaped structure with an upward opening, and a plurality of clamping parts are mounted on the front side wall and the rear side wall of the bottom support frame; the assembly type ALC light wallboard further comprises a plurality of wallboard units, and the wallboard units are evenly distributed on the bottom support unit. According to the wallboard bodies, the clamping protrusions are matched with the clamping grooves, the elastic clamping structures of the buckling parts and sealant are combined, the adjacent wallboard bodies can be rapidly connected, smearing of a traditional binder and waiting for solidification are not needed, positioning installation of the bottom supporting units and the top supporting parts is completed through preset drilled holes and standardized connecting pieces, and the installation efficiency is greatly improved. And the limiting plate and the back shore frame are matched to synchronously limit the installed wallboard body, repeated adjustment is avoided, and the overall construction efficiency is improved.

The invention discloses a digital manufacturing method and system for a bracket node in a steel structure column, and relates to the related field of digital manufacturing of building components, and the method comprises the steps: collecting three-dimensional point cloud data of a bracket node connection region in a target steel structure column; stress concentration analysis is conducted in the vertical direction and the horizontal direction, and a key welding point set and a bolt hole site set are marked; lightweight design parameters of the bracket supporting structure are introduced, load stability analysis is conducted, and first assembly parameters are configured; traversing M bracket nodes in the target steel structure column to obtain a first assembly parameter to an Mth assembly parameter, and configuring a digital manufacturing instruction sequence in combination with the three-dimensional point cloud data; and inputting the data into a numerical control machining center, and driving multi-axis linkage equipment to manufacture and manage the bracket node. The technical problems that existing bracket joint manufacturing is low in efficiency and insufficient in precision and stability are solved, and the technical effects that the manufacturing efficiency is improved, the manufacturing precision and stability are improved, and powerful support is provided for energy-saving building material production are achieved.

The invention relates to the technical field of quality detection of building materials, in particular to a quality detection method and system for mirror-surface bare concrete. The quality detection method for the mirror-surface bare concrete comprises the following steps: S100, starting three-dimensional detection; s200, carrying out spatial dimension multi-index cooperative detection; s300, time dimension dynamic attenuation analysis is carried out; s400, carrying out environmental adaptability calibration; s500, carrying out digital dimension topological modeling; and S600, carrying out comprehensive quality evaluation. The invention further discloses a system for detecting the quality of the mirror-surface bare concrete. The system comprises a three-dimensional holographic detection module; a dynamic tracking and environment calibration module; a digital modeling engine; a comprehensive evaluation platform; and a data interface module. According to the method, through four-dimensional fusion of space-time-number-environment, multi-dimensional features such as flatness, glossiness, color uniformity and surface and near-surface bubbles are synchronously captured, and quality misjudgment caused by index omission is avoided.

The invention relates to a concrete anti-cracking self-repairing agent in the technical field of building materials, and aims to solve the problem that concrete cracks are difficult to self-repair. According to the technical scheme, the self-repairing agent is characterized by comprising a microbial repairing unit formed by ZSM-5 type zeolite molecular sieve loaded bacillus pasteurii spores, mesoporous silica particles loaded with L-calcium aspartate and Fe3O4 (at) SiO2 core-shell nanoparticles which are fixed through an in-situ polymerization coating layer to form a magnetic thermal response capsule layer coating the surface of the microbial repairing unit, pLGA microspheres containing yeast extract are positioned on an interface of zeolite and hydrogel, and a trehalose-anhydrous calcium chloride eutectic compound is used as a directional mineralization accelerant. The concrete anti-cracking self-repairing agent provided by the invention is mainly used for intelligent identification and self-repairing of concrete cracks, and efficient repairing is realized through a microbial mineralization, calcium ion slow release and magnetic thermal response synergistic mechanism.

The invention provides a low-carbon concrete coarse aggregate close packing combination grading formula and a determination method, and relates to the technical field of building materials, the formula comprises a coarse aggregate skeleton, a fine aggregate, a low-carbon cementing material, water and an admixture, the coarse aggregate skeleton is composed of four different size fractions, and the purpose is to achieve the closest packing to reduce the cement requirement and improve the cement quality. The low-carbon cementing material is composed of cement, a conventional low-carbon mineral admixture and a low-carbon composite mineral admixture, and the low-carbon composite mineral admixture comprises an active component A and a micro-filling component B. The determination method comprises the steps of system characterization and model establishment, slurry skeleton iterative collaborative optimization and formula determination. The porosity is reduced to the maximum extent by optimizing coarse aggregate grading, the cement consumption is greatly reduced, meanwhile, through the synergistic effect of the high-performance, high-proportion and low-carbon admixture, the working performance, physical and mechanical properties and durability of the concrete are ensured, carbon emission and material cost are remarkably reduced, industrial solid waste is effectively utilized, and the economic benefit is increased. And green low-carbon preparation of the concrete is realized.

The invention relates to the field of building material preparation, in particular to a high-strength concrete material and a preparation method thereof.According to the high-strength concrete material, through the synergistic effect of core-shell type temperature-sensitive resin particles, a pH response type expanding agent and industrial solid waste composite micro powder, multi-environment self-adaptive crack resistance and mechanical property breakthrough are achieved. The core component is prepared from 180 to 240 parts of cement, industrial solid waste composite micro powder (30 to 50 parts of fly ash-based nano SiO2 and 50 to 70 parts of steel slag micro powder), 10 to 15 parts of core-shell resin particles and 8 to 12 parts of pH response type expanding agent. According to the preparation process, multi-section intelligent stirring (ultra-high-speed shearing and dispersing of the nanometer material) and dynamic maintenance of the internet of things are adopted, the hydration process is precisely regulated and controlled, and the finally prepared material has excellent compressive strength and anti-cracking performance. The method is suitable for severe scenes such as ocean engineering and plateau buildings, and has wide application prospects.

The invention relates to the technical field of building materials, in particular to anti-crack mass concrete and a preparation method thereof, and the concrete is prepared from a gelling system, composite aggregate, a gradient functional additive and water according to a specific ratio. The preparation method is achieved through premixing, gradient stirring and gradient temperature control curing, the three-stage expansion effect of the compound expanding agent is utilized to be matched with the concrete shrinkage process, the hydration heat inhibitor is combined for reducing the temperature peak, basalt fiber is used for reinforcing, and the cracking risk is quantitatively evaluated, so that the 28-day restrained expansion rate of the concrete reaches 0.012% or above, the cracking risk coefficient is smaller than or equal to 0.7, and the concrete has the good crack resistance. The hydration heat peak value is reduced to 48 DEG C or below, and the cement is suitable for engineering of ultra-long structures, large-volume side walls and the like, has no harmful cracks within one year or above, has crack resistance and mechanical properties, and is wide in application prospect.

The invention discloses a method and system for dynamically measuring and calculating carbon sink in the whole construction process of a wetland protection area, and belongs to the technical field of ecological environment monitoring, and the method comprises the following steps: respectively calculating potential carbon emissions of a building material production and transportation stage, a construction stage and an operation stage after project construction, and obtaining a carbon emission accounting result; a carbon flux model is established, and a carbon flux change data set of the whole project construction process is calculated and obtained according to wetland ecological monitoring data, meteorological data, biological and physiological parameters and construction activity parameters; according to the carbon emission accounting result and the carbon flux change data set, a comprehensive carbon sink measurement and calculation model of the whole construction process is constructed; the actual carbon sink data are compared to correct the measurement and calculation model, and the corrected measurement and calculation model is applied to carbon sink amount calculation in the whole construction process of different types of wetland protection area production and construction projects; comparing a model calculation result with results obtained by other authoritative calculation methods to verify the accuracy and reliability of the model; and the blank in the field of current wetland carbon sink measurement and calculation is filled.

The invention belongs to the technical field of building materials, and particularly relates to a preparation method of a high-strength sintered tile. The preparation method of the high-strength sintered tile comprises the following steps: (1) crushing green body raw materials, sieving, adding water, carrying out ball milling, and carrying out spray drying to obtain powder; (2) performing compression molding on the powder obtained in the step (1) to obtain a green body; drying the green body to obtain a tile blank; (3) coating the tile blank obtained in the step (2) with glaze, and drying to obtain a glazed tile blank; and sintering the glazed tile blank, and then cooling to room temperature to obtain the ceramic tile. The high-strength sintered tile obtained by the preparation method is high in bending strength, high in thermal stability, low in water absorption and good in freezing resistance, and has a wide application prospect.

The invention relates to the technical field of tunnel engineering building materials, in particular to a double-slurry synchronous grouting material based on shield silty-fine sand and a preparation method of the double-slurry synchronous grouting material based on shield silty-fine sand. The liquid A is prepared from, by weight, 20%-30% of cement, 30%-50% of shield silty-fine sand, 5%-10% of bentonite, 5%-15% of mineral admixture, 0.1%-0.5% of stabilizer and 20%-30% of water, and the stabilizer is a water-soluble high-molecular polymer; the solution B is a water glass solution, and the volume ratio of the solution A to the solution B is (10-15): 1; the double-slurry synchronous grouting material further comprises a retarder and a coagulant, the retarder is citric acid, and the coagulant is a nano Ca (OH) 2 crystal nucleus. Bidirectional and gradient regulation and control of the gelation time between 5s and 100s can be realized through the coagulant and the retarder, and diversified requirements of different geological conditions and construction progress on slurry operation time are met.

Based upon the identification of a structural member, a projective path and final attachment location for the structural member is presented to the crane operator. Further, the dimensions of each structural member are determined and compared against a construction site database. Structural members not conforming to the dimensions listed in the construction site database are identified and the crane operator alerted.

The invention relates to the technical field of building materials, and particularly discloses a slag and ardealite synergetic activated gypsum batten and a preparation method thereof.The slag and ardealite synergetic activated gypsum batten comprises pretreated ardealite, superfine slag powder, a composite exciting agent, reinforced fibers, self-repairing microcapsules, a foaming agent and water, and the composite exciting agent is formed by compounding nano SiO2, CaO and metakaolin; the preparation method comprises the following steps: mixing nano silica sol and a lignin solution, performing spray drying, and performing heat treatment to obtain the self-repairing microcapsule; the preparation method comprises the following steps: carrying out dry mixing on pretreated phosphogypsum, superfine slag powder and a composite exciting agent, adding water, adding reinforced fibers, self-repairing microcapsules and a foaming agent, stirring to form slurry, carrying out injection molding on the slurry, and carrying out stepped maintenance of pre-maintenance, main maintenance and carbonization treatment to prepare the modified red mud-pretreated phosphogypsum-based self-repairing self-repairing composite phosphogypsum-based self-repairing self-repairing composite phosphogypsum-based self-repairing composite phosphogypsum-based self-repairing composite phosphogypsum-based self-repairing composite phosphogypsum. The composite excitant synergistically activates the activity of the slag, and is matched with the reinforced fibers, the self-repairing microcapsules and stepped curing, so that solid waste resource utilization is realized, the compression resistance, bending resistance and impact resistance of the batten are improved, and the environment-friendly and high-performance effects are achieved.

The invention relates to the technical field of intelligent control, and more particularly discloses an intelligent control system and method for a building material production process, which are combined with a speed sensor and a video acquisition device to realize the capabilities of real-time monitoring and automatic stirring speed adjustment in the light building material production process. The feature vectors in the stirring process are extracted, the stirring speed data are fused, and adjustment suggestions are obtained through classifier processing, so that the stirring uniformity is ensured, the production efficiency is improved, and the manual operation cost is reduced.