220193 results about "Civil engineering" patented technology

The invention relates to a rockburst risk monitoring method and system in a tunnel construction period, and relates to the technical field of tunnel construction, and the method comprises the steps: obtaining micro-seismic monitoring data and geological parameters of a tunnel; calculating a rockburst risk index of the tunnel based on the micro-seismic monitoring data and the geological parameters; determining a dynamic stress field analysis result of the tunnel through the dynamic stress field evolution model; based on the rockburst risk index and the dynamic stress field analysis result, dangerous area distribution of the tunnel is obtained; evaluating the rockburst risk grade of the tunnel in the next construction period in combination with the rockburst risk index, the dangerous area distribution and the to-be-performed construction process, and dynamically adjusting the early warning threshold value of the rockburst risk index to obtain a dynamic early warning threshold value; and when the rockburst risk index of the tunnel exceeds a dynamic early warning threshold value, generating a risk assessment result, sending out early warning of a corresponding level, and giving a prevention and control suggestion of construction according to the risk assessment result. The tunnel rockburst risk monitoring accuracy can be improved.

The invention discloses a concrete building outer wall detection method and system, computer equipment and a storage medium, and relates to the technical field of prefabricated building detection, and the method comprises the steps: obtaining multi-angle image data of a concrete building outer wall; preprocessing the image data, and extracting a target area of the outer wall of the concrete building; extracting feature information representing outer wall defects from the preprocessed image data; inputting the feature information into an artificial intelligence detection model, and judging whether an outer wall defect exists or not; and according to an output result of the detection model, determining distribution positions of the defects on the surface of the outer wall, and classifying the detected defects. According to the concrete building outer wall detection method provided by the invention, the unmanned aerial vehicle avoids low efficiency and safety risks of high-altitude operation in manual detection. Meanwhile, the convolutional neural network can automatically extract multi-level features from the image, various defects are accurately recognized, and the accuracy problem of traditional infrared detection under the change of environmental factors is solved.

The present disclosure provides a magnetic building block. Furthermore, the stop assembly is separated into the upper stop part and the lower stop part by the partition plate part, so that the strength of the stop assembly can be improved. The upper stop part may stop the first magnet part at the first compartment part, and the lower stop part may stop the second magnet part at the second compartment part.

The invention relates to the technical field of concrete performance simulation, in particular to a concrete crack resistance simulation monitoring method, device and equipment and a storage medium. The method comprises the following steps: acquiring a plurality of groups of internal microstructure images; carrying out different component region segmentation on the plurality of groups of internal microstructure images, and carrying out mechanism structure quantitative analysis to generate mechanism structure parameters of different regions; real-time environmental parameter monitoring is carried out on to-be-monitored concrete based on the multiple sensor nodes, and concrete environmental sensing parameters are obtained; performing environmental stress load excavation on the concrete environmental perception parameters to generate concrete environmental stress load characteristics; and performing multi-frequency filtering noise reduction on the internal three-dimensional microstructure image based on the mechanism structure parameters of different regions, performing regional structure three-dimensional point cloud modeling, and constructing a concrete three-dimensional point cloud model. According to the invention, high-precision and high-efficiency simulation of the crack resistance of the concrete is realized.

The invention relates to the technical field of water photovoltaic flexible support pile foundation construction data processing, in particular to a process for a water photovoltaic flexible support pile foundation, which comprises the following steps: fusing meteorological, hydrological and pile deformation multi-source data through a dynamic weight distribution mechanism, and generating a space-time associated dynamic load spectrum by adopting wavelet packet transformation and entropy feature extraction; a collaborative analysis architecture of a finite element simulation and machine learning agent model is constructed, an anchoring depth mapping relation and a real-time design parameter adjustment instruction are output in parallel, and macroscopic fluid parameters and microscopic material degradation characteristics are associated through a data cascade interaction correction mechanism; full-life-cycle data version management is achieved through the block chain technology, and finite element model re-calibration and protection strategy dynamic updating are triggered. The dynamic load response analysis precision and long-term stability of the pile foundation are improved, and the deformation coordination requirement of the flexible support in the complex water area environment is met.

An exemplary toy construction may comprise a posable building block whereby a portion of the posable building block is coupled by a clutch having at least one opening with a first central axis, and a lock having at least one opening with a second central axis, and the first central axis and the second central axis may not be colinear. The exemplary toy construction creates numerous types of joints between the posable building block and the clutch and lock, including a universal joint.

The invention belongs to the technical field of engineering supervision, and discloses a concrete strength measurement system and method for civil construction engineering, and the method comprises the following steps: a test point planning module determines the number and position of detection points; the route planning module plans a running route of the detection mechanism; the detection mechanism sequentially moves to each detection point position according to the planned route; the positioning module analyzes the distance from the ultrasonic probe to the laser; the ultrasonic probe A is aligned with the ultrasonic probe B; the ultrasonic probe A and the ultrasonic probe B scan a concrete building; detecting the strength of the concrete building by using a rebound apparatus; the humidity acquisition module acquires humidity data of concrete; the temperature acquisition module acquires environment temperature data; and the ultrasonic analysis module comprehensively calculates the concrete strength by combining the rebound value, the concrete humidity, the environment temperature and the ultrasonic detection sound velocity. According to the invention, concrete strength on-site detection can be carried out on a high-rise building; by integrating various data, the strength of the concrete can be evaluated more accurately.

The present invention relates to the field of hand trolleys, and specifically, to a bottom support structure of a hand trolley and the hand trolley. The bottom support structure includes a bottom frame and ground wheels. The bottom frame includes one central joint, at least three groups of connection assemblies, and at least three corner joints, one end of each connection assembly is hingedly connected to the central joint, the other end of the connection assembly is hingedly connected to one corner joint, and the corner joint is connected to the ground wheel, so that a foldable structure that is selectively unfolded or folded of the bottom frame is formed. One of the connection assemblies includes a first connection piece and a second connection piece, and when the bottom frame is unfolded, the first connection piece is located on the second connection piece, so that a double-layer structure of the bottom frame is formed. The hand trolley includes the bottom support structure of the hand trolley and a side support disposed on the bottom frame, the side support includes a side rod, and the side rod is a fixed rod with a fixed height.

An elastic mattress having springs includes one or more elastic modules and one or more bottom layers, the one or more elastic modules includes a plurality of pre-compressed springs with middle parts disposed with connecting members, the connecting members are divided into first connecting members and second connecting members, side surfaces of the first connecting members are provided with first connecting structures, side surfaces of the second connecting members are provided with second connecting structures, the first connecting members and the second connecting members are respectively disposed on waist parts of different pre-compressed springs, one of the first connecting members of a first one of the plurality of pre-compressed springs is connected to one of the second connecting members of a second one of the plurality of pre-compressed springs, and bottom surfaces of the plurality of pre-compressed springs are connected to the one or more bottom layers.

The invention relates to the technical field of pile foundation engineering, in particular to a construction method of a long-pile wharf pile foundation lateral displacement prediction model. The method comprises the following steps that displacement, stress and load parameter monitoring is conducted on a pile foundation of the high-pile wharf, and real-time monitoring parameter data is generated; performing working condition identification on the pile foundation structure through the real-time monitoring parameter data to generate working condition data of the pile foundation structure; multi-source load characteristic analysis is conducted on the pile foundation structure working condition data, load coupling effect calculation is conducted, and load action data are generated; performing soil-pile interaction analysis according to the load action data to generate soil-pile response data; and performing material performance deterioration evaluation according to the soil-pile response data to generate material state data. The working condition identification method based on the multi-source monitoring data is established, comprehensive perception of the pile foundation structure state is achieved, and a reliable data basis is provided for subsequent displacement prediction.

The invention discloses an intelligent design method for a tunnel blasting scheme, which comprises the following steps: S1, data acquisition and preprocessing: acquiring geological data of an area where a tunnel is located through geological survey and field survey, and preprocessing the data to generate a geological model; s2, intelligent analysis and parameter matching: intelligently matching optimal blasting parameters by using a big data analysis technology according to the geological model and historical blasting data; s3, blasting scheme generation: generating a specific blasting design scheme based on the matched blasting parameters; s4, simulation and optimization: performing simulation analysis on the blasting scheme by using a numerical simulation technology, evaluating the blasting effect and safety, and optimizing the blasting scheme according to a simulation result; and S5, scheme verification and implementation: carrying out field test and verification on the optimized blasting scheme. Through an intelligent algorithm and a software tool, automatic and rapid blasting scheme design is realized, the design period is greatly shortened, and the efficiency is improved.

The invention discloses a surrounding environment risk assessment method based on a cover excavation subway foundation pit, and relates to the technical field of subway construction. The evaluation method comprises the following steps of multi-source data acquisition and preprocessing: collecting geological survey data, environment monitoring data, construction monitoring data, existing building data, pipeline data and electric power facility data of a foundation pit area. The deep analysis of the complex interaction between the foundation pit construction and the surrounding environment is realized, the innovative method overcomes the limitations of single data and one-sided analysis in the traditional risk assessment, the comprehensiveness and accuracy of the risk assessment are remarkably improved, and the risk assessment efficiency is improved through comprehensive analysis. The potential influence of foundation pit construction on the surrounding environment can be accurately monitored in real time, the reasonable early warning threshold value is set, and once the monitoring data exceed the preset threshold value, the early warning signal is triggered immediately, so that the safety of the surrounding environment is effectively guaranteed, and the risk in the construction process is reduced.

The present invention discloses a digital management method and system for a water conservancy project construction process, and belongs to the technical field of water conservancy projects. The method specifically comprises: real-time collection of relevant data from a water conservancy project construction site, and preprocessing, by comparing the actual construction progress with the planned progress, calculating the construction progress deviation, and analyzing the future construction progress trend, analyzing the construction quality data, training a prediction model through historical data, identifying construction quality hazards, combining the construction progress and quality, resource conditions and external environmental factors, intelligently scheduling construction resources, building a risk prediction model, and evaluating the risks in the construction process; in the context of complex water conservancy projects, it is possible to achieve process progress and quality management, reasonable resource scheduling and risk control, and better ensure the smooth progress of the project.

The invention belongs to the technical field of concrete crack detection, and particularly discloses and provides a high-strength concrete construction crack detection system and method.The system comprises a multi-parameter cooperative sensing module, a construction crack recognition module, a crack risk analysis module and a crack early warning processing module. According to the invention, the temperature, humidity, strain and multispectral image data from a plasticity stage to a hardening stage are collected in real time through the multi-parameter cooperative sensing module, and crack characteristics are extracted by combining staged differential signal processing and a deep convolutional neural network, so that the detection precision of micro cracks and internal defects is remarkably improved. Meanwhile, multi-physics field data are fused, a crack evolution risk rate model is innovatively constructed, dynamic probability prediction before crack initiation is achieved, a grading disposal scheme is automatically triggered through risk grade division and a progressive early warning mechanism, drying shrinkage and temperature crack causes are effectively distinguished, the prevention and control efficiency is remarkably improved, and the method is suitable for large-scale popularization and application. And full-life-cycle accurate monitoring of the high-strength concrete is supported.

The present invention relates to the technical field of tunnel rockburst microseismic monitoring, and provides a strain-structural plane slip-type rockburst failure mechanism analysis method for a drill-and-blast method tunnel. The present invention collects strain-structural plane slip-type rockburst microseismic data during tunnel construction; in light of engineering geological survey data, performs microseismic monitoring and data analysis on strain-structural plane slip-type rockburst that has occurred in a tunnel, divides a strain-structural plane slip-type rockburst risk area, and determines a microseismic rockburst early warning area; and, by means of these data, deeply understands a microseismic activity law of strain-structural plane slip-type rockburst of deep-buried drill-and-blast method tunnels, discriminates respective functions of tensioning and shearing in rock failure processes, comprehensively analyzes the failure mechanism of strain-structural plane slip-type rockburst, and further obtains the failure mechanism of strain-structural plane slip-type rockburst of the deep-buried drill-and-blast method tunnels, providing an important theoretical basis for predicting and preventing rockburst disasters.

An example test station assembly of a cathodic protection monitoring assembly includes a face plate including a plurality of openings. In addition, the test station assembly includes a plurality of test posts to pass through the plurality of openings. Further, the test station assembly includes a plurality of electrically non-conductive identification indicators to connect to the plurality of test posts on the face plate. Each of the plurality of identification indicators including one or more identifying characteristics to identify a corresponding voltage source of a plurality of underground voltage sources associated with an at least partially buried structure, a cathodic protection system for the buried structure, or the cathodic protection monitoring assembly. Still further, the test station assembly includes a plurality of electrical conductors to electrically connect the plurality of test posts to the plurality of underground voltage sources.

A digital auxiliary repair method for an ancient building. The method comprises: point cloud data acquisition, point cloud model establishment, point cloud model optimization and model printing, which involve: scanning and photographing a damaged ancient building by using a three-dimensional scanner and an industrial camera, so as to obtain three-dimensional point cloud data of the ancient building; performing preprocessing, such as data registration, data denoising, data simplification and data segmentation, on the point cloud data to obtain data for establishing a three-dimensional model; optimizing the three-dimensional model; and by means of a 3D printer, obtaining a mold for a damage position of the ancient building, and on the basis of requirements, using the mold to perform molding to obtain a wooden or brick-mixed workpiece.

The invention relates to the technical field of concrete wall materials, and discloses a recycled concrete wall material and a preparation method thereof, the recycled concrete wall material comprises the following components by weight: 300-500 parts of recycled coarse aggregate, 200-400 parts of recycled fine aggregate, 150-300 parts of cement, 30-80 parts of fly ash, 3-8 parts of a water reducer, 5-15 parts of reinforced fiber, and 20-30 parts of a modified composition. Comprising the following steps: S1, raw material pretreatment, S2, mixing and stirring, S3, molding and curing, and S4, quality detection. The building waste is efficiently utilized, exploitation of natural aggregate is reduced, energy consumption and carbon emission in the production process are reduced, the landfill amount of the building waste and land occupation are reduced, the material strength and durability are good, the waterproof performance is improved, and the crack resistance and seismic resistance of the wall are enhanced.

The invention discloses a lightweight concrete column beam durability evaluation method and device based on twinborn simulation, and relates to the technical field of twinborn simulation, and the method comprises the steps: collecting the degradation characteristics of a lightweight concrete column beam, and constructing a three-dimensional multi-scale structure model; executing coupling simulation to generate a twin simulation model; monitoring a column beam through a multi-source sensor, and determining a real-time performance degradation parameter; updating the twinborn simulation model by using the degradation parameters; and collecting future environment and load data, inputting the future environment and load data into the updated model, simulating a degradation evolution process, and generating a durability evaluation result. The technical problem that a prediction result and actual service performance have significant deviation due to the fact that a traditional durability evaluation method is difficult to dynamically couple a multi-physical field environment and a material microcosmic degradation mechanism is solved, and a dynamic evaluation system for virtual-real mapping is constructed through twinborn simulation. And the prediction precision of the degradation process of the lightweight concrete column beam and the dynamic deduction capability of the service life are improved.

The invention discloses a tunnel deep-buried drainage ditch rapid blasting excavation method based on vertical drilling, which comprises the following steps: step 1, detecting the geology in front of a tunnel by using vertical drilling coring, geological radar and TSP seismic wave technology, and constructing a three-dimensional model; 2, generating an asymmetric hole net layout based on a geological model and AI, and setting a drilling-free vibration isolation belt; the design of dense inside and sparse outside is adopted, and vibration propagation is blocked; thirdly, a three-stage air spacer is arranged at the bottom of the blast hole, segmented charging is implemented, the explosive energy release time is prolonged, and the single-segment explosive quantity peak value is reduced; fourthly, an electronic detonator is adopted for millisecond detonation, and peak vibration is weakened through the waveform superposition offset effect; 5, arranging fiber grating sensors in the tunnel, collecting data in real time and transmitting the data to the cloud AI platform; dynamically adjusting parameters based on the monitoring data; and 6, evaluating a blasting effect through a three-dimensional laser scanner, generating an evaluation report in combination with data, updating a BIM model database, and continuously optimizing an AI algorithm.

The present disclosure provides embodiments of a reinforced porcelain panel product for renovations or new construction in buildings. In an embodiment, a reinforced porcelain panel product includes a porcelain slab and a structural core board. The structural core board includes a foam-core material having a surface area and a thickness larger than the porcelain slab. An upper surface of the structural core board is positioned in contact with a bottom surface of the porcelain slab with an adhesive material. A buffer region is defined by regions of the structural core board extending beyond outer peripheries of the porcelain slab. The buffer region enhances protection from cracking when the reinforced porcelain panel product is handled. The lower surface of the structural core board has a first surface plane parallel to a top surface of the porcelain slab and a lower surface positioned to attach to a mounting surface.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

The invention discloses a deep covering layer panel rock-fill dam rheological numerical calculation method considering the seepage effect. The method comprises the steps that firstly, contact deformation between a panel and a dam body is simulated; then simulating the unstable seepage process of the rock-fill dam and the foundation, and solving the seepage problem with a free surface; carrying out seepage-stress coupling calculation on the dam body material, and establishing a seepage-stress coupling control equation of the dam body material; carrying out seepage-stress coupling calculation on the overburden foundation, establishing a seepage-stress coupling control equation of the foundation, and finally obtaining a relationship among stress, strain and pore pressure to realize the seepage-stress coupling calculation; numerical simulation is conducted, and a concrete faced rockfill dam rheological numerical simulation result considering the seepage effect is obtained. The problems that in the prior art, the stress deformation rule of the concrete faced rockfill dam under the seepage-rheology coupling effect is not clear yet, and meanwhile, a seepage-rheology coupling calculation method is not perfect enough are solved.

The invention relates to the technical field of bridge digital twinborn platform construction, and particularly discloses a Unity 3D bridge digital twinborn platform construction method integrated with a Midaas-Civil calculation function, and the method carries out the real-time monitoring and evaluation of a bridge through a digital twinborn technology, thereby improving the structural safety and maintenance efficiency of the bridge. The method comprises the following steps: acquiring stress distribution data of a bridge in real time through bridge monitoring equipment, and analyzing a stress concentration area in a digital twin platform; a crack propagation rate and a stress gradient change value are extracted, a comprehensive feature vector is constructed, the current state of the bridge is evaluated by using a machine learning model, and a high-risk area is identified according to an evaluation result; the maintenance strategy of the bridge is dynamically optimized by predicting the future crack expansion trend and stress distribution change of the low-risk area; and on the basis of a risk assessment result, a resource optimization allocation model is constructed, optimal allocation and dynamic adjustment of bridge maintenance resources are realized, and accurate implementation of a maintenance strategy is ensured.

The invention relates to the technical field of construction trolley equipment, in particular to three-layer overlapping assembly type underground station assembling trolley equipment which comprises a movable pedestal, a movable platform, a movable platform, a movable platform, a movable platform and a movable platform, wherein the movable pedestal is provided with a shear-type lifting platform which ascends and descends in the vertical direction; the fixed frame seat is fixedly mounted on the shear type lifting platform; the side wall assembling assembly comprises a horizontal connecting plate which is horizontally and movably mounted on one side of the fixing frame base and an L-shaped supporting plate which is mounted at the outer end of the horizontal connecting plate; the moving block is horizontally and movably mounted on the other side of the fixing frame base through a driving source, and a longitudinal beam supporting plate and a clamping jaw are mounted on the moving block; the arranged movable pedestal is matched with the fixed frame seat, so that a lifting function and a mounting site are provided, and the device can be suitable for splicing operation of a three-layer overlapping assembly type underground station; the equipment has mobility, the structure is stable and reliable in the construction process, and the requirement for gravity bearing of the prefabricated part can be met; quick positioning and assembling of the assembling position of the prefabricated part can be achieved, then the construction procedure is simplified, and the construction efficiency is improved.

A tonneau cover for a bed of a truck is provided. The tonneau cover includes several improvements including but not limited to a bulkhead panel that is secured to the truck. A first cover panel section pivotably attached to the bulkhead panel. A first intermediate panel section pivotably attached to the first cover panel section and a second panel section. A second intermediate panel section pivotably attached to the second cover panel section and a third panel section. The first cover panel section, the second cover panel section, and the third cover panel section fold to form a stack of cover panel sections which is pivoted upright onto the bulkhead panel which supports the stack of cover panel sections in an upright position. The second intermediate panel section sets upon the bulkhead panel when the stack of cover panel sections is pivoted upright onto the bulkhead panel.

The invention provides a tunnel construction structure health on-line monitoring method and system, and the method comprises the steps: obtaining stress data, crack images and seismic wave signals of tunnel construction, and carrying out the preprocessing; obtaining and constructing stress-crack joint representation mapping, generating a first joint feature vector, and predicting a lining health state of a future # imgabs0 # time step; generating a second joint feature vector, and determining a stratum stress field of the future # imgabs1 # time step according to the second joint feature vector; constructing a tunnel lining damage probability model according to the stress data and the crack image, and determining an overall construction risk score; and dividing the construction risks into a plurality of grades. According to the method, data multi-modal fusion, structure-stratum joint modeling and AI enhanced prediction and early warning are achieved, the defects in the prior art are effectively overcome, the method can be widely applied to engineering scenes such as tunnel construction, subway construction and underground space development, and the construction safety and the structure health monitoring capacity are remarkably improved.

A collapsible trolley with a guardrail includes a rack assembly, a pull handle assembly provided in front of the rack assembly, a push handle assembly fixed behind the rack assembly, a caster assembly provided at a bottom of the rack assembly, and a canopy assembly provided above the rack assembly. The rack assembly includes a bottom rack, a front frame and a rear frame respectively provided at two ends of bottom rack, and side frames respectively provided at left and right sides of the bottom rack. The front frame is connected to the pull handle assembly, and the rear frame is connected to the push handle assembly. The collapsible trolley with the guardrail avoids the problems that the prior trolleys are prone to falling under load and have small holding strength. The collapsible trolley with the guardrail is simple and labor-saving to fold up, and provides a large usable volume.