14987results about How to "Improve construction efficiency" patented technology

The invention relates to the field of shield tunneling, and discloses a shield tunneling control method and system based on a rock-soil particle motion trail, and the method comprises the steps: fusion deployment of various types of high-precision sensors, intelligent anti-noise data collection and preprocessing, precise physical model construction, efficient numerical simulation optimization, and multi-parameter comprehensive detection and correlation analysis. And real-time data-driven adaptive control model construction, control instruction rapid generation and transmission, closed-loop feedback and continuous optimization are realized. According to the method, multiple links including fusion deployment of multiple types of high-precision sensors, intelligent anti-noise processing, physical model construction and the like are covered, all the links have a synergistic effect, data can be accurately obtained, data quality can be guaranteed, a simulation foundation can be provided, comprehensive evaluation, intelligent control and rapid instruction transmission can be achieved, continuous optimization is achieved through closed-loop feedback, and the method is suitable for large-scale popularization and application. And finally, the construction level in all aspects is improved, and complex engineering requirements are met.

The invention relates to the field of road construction, and discloses a machine vision-based fabricated pavement precast slab flatness measurement method, which comprises the following steps of: positioning and marking an assembled fabricated precast slab area; generating point cloud data through three-dimensional scanning, and carrying out denoising processing and feature extraction; calculating the elevation of each point on the surface of the precast slab according to the feature data, identifying elevation change and generating flatness evaluation data; performing gray level detection on the three-dimensional point cloud data, and further analyzing a defect area in combination with elevation data; and utilizing the Gaussian process regression model to predict the elevation of the unscanned area or the boundary area, and finally outputting a flatness evaluation result. Through the scheme of the invention, efficient and accurate detection of the surface flatness of the prefabricated slab can be realized, feedback and adjustment suggestions are provided for construction, the detection precision is effectively improved, and the construction cost is reduced.

The invention discloses a rock tunnel intelligent supporting system and method adaptive to geological conditions, and relates to the technical field of tunnel construction automation and intellectualization. The system comprises an intelligent advanced geological forecast module, an intelligent surrounding rock quality evaluation system, a self-adaptive support design optimization module, an intelligent construction equipment monitoring system, an environment monitoring module, a safety early warning system, a construction data analysis and decision support system, a material supply chain management module, a personnel positioning and management system and an integrated control system. Through real-time monitoring and analysis of the intelligent advanced geological forecast module and the safety early warning system, potential geological risks and safety threats in the tunnel construction process can be found in time. And through an adaptive support design optimization algorithm, support parameters and a construction scheme can be dynamically adjusted according to real-time geological data and a surrounding rock quality evaluation result. The integrated control system serves as the core of the whole intelligent supporting system, and unified management and coordination of all the sub-modules are achieved.

The invention discloses a building construction safety risk assessment method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a neural network model, and recognizing an unsafe behavior mode of a worker; receiving a data stream from a construction site in real time, dynamically adjusting risk assessment parameters according to a current construction state and environment change, and predicting potential safety risks; according to the prediction result, generating corresponding prevention measure suggestions; key indexes and abnormal conditions are displayed through a monitoring interface, and a detailed analysis report is generated; according to the invention, through dynamic assessment and timely response to the safety risk of the construction site, the risk assessment parameters can be rapidly adjusted according to the environmental change, the potential risk can be predicted, and the prevention measures and suggestions can be provided, so that the occurrence probability of safety accidents is effectively reduced, and the construction efficiency is improved.

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.

The invention relates to the technical field of real-time prediction of three-dimensional forms, in particular to a real-time dynamic prediction system and method for the three-dimensional form of a high-pressure jet grouting pile. The method comprises the following steps: carrying out stratum characteristic identification on a construction site to obtain stratum distribution data; key monitoring point positions are determined according to the stratum distribution data, and a multi-source sensor monitoring network is established; carrying out anti-interference optimization processing on the multi-source sensor monitoring network, and carrying out real-time acquisition on high-pressure jet grouting parameters to obtain real-time high-pressure jet grouting data; and spatio-temporal evolution processing based on injection pressure, lifting speed and rotating speed is conducted on the real-time high-pressure jet grouting data, and parameter change characteristic data are generated. According to the method, the construction stratum distribution and the high-pressure jet grouting parameters are obtained and analyzed in real time, the parameter-stratum response relation model is established, grout diffusion and pile body forming dynamic prediction are conducted on different stratum characteristics in a targeted mode, and the precise construction capacity under the complex stratum condition is greatly improved.

The invention relates to the field of tower building machines, and discloses a structural curtain wall construction integrated aerial tower building machine for building an airport control tower, which comprises building equipment for building the control tower, the building equipment is erected outside the control tower, the control tower is fixed on the ground through a reinforced foundation, and the building equipment is fixed with the surface of the control tower through a wall attaching piece in the process of building the control tower. In order to greatly improve the construction efficiency, the structural curtain wall construction integrated aerial tower building machine for airport tower building ingeniously integrates multiple innovative designs, the core of the structural curtain wall construction integrated aerial tower building machine is a dynamically-adjusted lifting system, and the system is formed by connecting two lifting frame single bodies arranged up and down through a hydraulic air cylinder; the distance between the tower building machine and the tower crane can be flexibly adjusted so as to adapt to continuous change of the height of the control tower, the tower building machine can be synchronously lifted along with lifting of the control tower through the design, the tedious process of frequent disassembly and reinstallation in a traditional building mode is avoided, and the construction efficiency is remarkably improved.

The invention discloses a communication pipeline laying system for an underground intelligent pipe gallery, and relates to the technical field of underground intelligent pipe gallery construction, and the system comprises the steps: collecting point cloud data and underground environment parameters through a laser radar and a sensor, and carrying out the synchronous processing; fusing the synchronously processed point cloud data and the underground environment parameters, and constructing a three-dimensional geographic information model; analyzing and planning the three-dimensional geographic model by using artificial intelligence, and optimizing a laying path to obtain an optimal laying path; according to the optimal laying path, automatic pipeline laying is conducted through automatic construction equipment; according to the method, the three-dimensional geographic model is analyzed and planned through artificial intelligence, the laying path is optimized, the optimal laying path is obtained, the risk area under the complex geological condition is effectively avoided, the construction cost is reduced, and the reliability of communication pipeline laying path planning is improved.

The invention relates to the technical field of building construction, in particular to a curtain wall construction stage management method and system, and the method comprises the steps: generating a design scheme through a generative adversarial network, and carrying out the multi-objective optimization through reinforcement learning and a genetic algorithm; integrating construction site data in real time by adopting a digital twinborn technology, generating a construction twinborn model, and dynamically adjusting a construction strategy through a self-adaptive control algorithm; deploying a multi-scale sensor network for real-time monitoring, performing anomaly detection by using deep learning, and providing a construction strategy adjustment basis in combination with a causal analysis model; by integrating the advanced digital technology, comprehensive optimization from design to construction is achieved, the responsiveness and safety of construction are enhanced, and the construction quality and efficiency are improved.

The invention relates to the technical field of building construction regulation and control, and discloses an efficient construction multi-element real-time dynamic regulation and control method based on an intelligent algorithm, and the method comprises the steps: building a personnel database, and recording the competent work types, skill levels and working experience of personnel; according to a construction project, screening personnel based on an intelligent algorithm, and performing personnel allocation; monitoring the material inventory of the construction project in real time; acquiring data of personnel position, material supply, equipment operation state, construction progress and construction quality of the construction site; based on an intelligent algorithm, adjusting task distribution of the personnel according to the acquired personnel position state data; according to the efficient construction multi-element real-time dynamic regulation and control method based on the intelligent algorithm, human resources can be reasonably utilized, supply of construction materials is guaranteed, the construction efficiency can be effectively improved, the construction quality is guaranteed, and the construction cost is reduced.

The invention relates to the technical field of constructional engineering and intelligent optimization, in particular to a curtain wall material consumption optimization method and system.A self-adaptive multi-layer feedback modeling system is adopted to generate accurate three-dimensional model data, a multi-layer feedback analysis system is combined to dynamically adjust real-time construction data, and a feedback optimization instruction is generated; an optimal material distribution scheme is generated through a collaborative optimization algorithm, and the balance between material supply and actual demands is ensured; and finally, generating a material consumption list based on the optimized data, and applying the material consumption list to construction purchase and execution. According to the method, through dynamic adjustment and optimization strategies, material waste is greatly reduced, the material utilization rate is increased, and the construction efficiency is remarkably improved.

The invention belongs to the technical field of pipeline construction, and particularly relates to a pipeline lowering assembly line in a plain area and a construction method.The assembly line is arranged at the front end of the starting end of pipe ditch excavation, and the assembly line is sequentially connected with a pipeline frame, a welding platform, a flaw detection platform, a joint coating platform, a pipe ditch support and a tractor in series through a conveying device; a pipeline is stored through the pipeline rack and conveyed to the welding platform for welding connection, welding quality detection is carried out on the flaw detection platform, anti-corrosion treatment is carried out on the joint coating platform, finally, the pipeline enters a pipe ditch through the pipe ditch support and then is connected to the bottom of the excavator through the tractor, and the excavator drags and distributes the pipeline. The problems that the road width is too large and the construction period is too long in traditional pipeline lowering are solved, the construction site can be saved, the construction efficiency is improved, and the construction cost is reduced.

The invention relates to an anti-ant large-core-number fiber ribbon cable comprising a cable core and an outer sheath. The cable core includes loose tubes; and fiber ribbons are sleeved inside the loose tubes. The outer sheath is an outer nylon sheath; and a non-metallic reinforcement layer is arranged between the outer sheath and the cable core. According to the anti-ant large-core-number fiber ribbon cable provided by the invention, with the outer nylon sheath, ants can not bite the sheath, so that the damages on the optical cable by ant biting in a pipe at an area with a serious anti problem are prevented, the normal state of the cable is ensured, and the application region of the cable is extended. The cable based on a simple and reasonable structure has advantages of small cable diameter, high fiber density, large fiber capacity, and low duty ratio and can be laid in a pipe conveniently; and the bending performance is good. During branched connection, 4 to 24 fibers can be melted once, so that the construction time is saved and the manpower cost is lowered, and the construction efficiency is improved. On the basis of the full drying type dielectric structure, branched connection is realized conveniently and usage becomes convenient.

The invention discloses a precast beam field layout optimization system based on BIM and parameterized database integration, and relates to the technical field of computer aided design, the system comprises a BIM data acquisition and processing unit used for extracting a geometric feature tensor, a material feature tensor and a section feature tensor of a precast beam from a BIM parameterized database, constructing a multi-scale feature tensor of the precast beam; the model building unit is used for building a site multi-physical field coupling model based on the multi-scale tensor and the site parameters; calculating dynamic bearing capacity distribution based on a multi-physics field coupling model; calculating a dynamic feasibility index; and the layout optimization unit is used for converting the optimization problem into a continuous space-time Markov decision process, finding an instruction matrix of the crane corresponding to the optimal strategy function, and taking the instruction matrix as a final execution scheme so as to complete the optimized layout of the precast beam field. According to the method, the safety and stability of the layout scheme in a complex construction environment are ensured, the construction efficiency is maximized, and the risk is reduced.

The invention discloses a limited micro-space pile foundation construction method based on a multifunctional pile machine, and belongs to the technical field of constructional engineering pile foundations. The limited micro-space pile foundation construction method comprises the following construction steps that S1, a matched drilling tool is selected according to the type of a pile foundation, wherein the type of the pile foundation at least comprises one of a cast-in-situ bored pile, a stirring pile, a high-pressure jet grouting pile and a threaded expanding body steel pile; s2, pile machine equipment is assembled and placed in place, wherein the pile machine equipment comprises a main machine assembly, a drilling rig assembly, a power head assembly and a multi-channel telescopic drilling rod; and S3, pile foundation construction is conducted, specifically, corresponding pile machine equipment and auxiliary equipment are started according to different pile foundation technologies to conduct pile foundation construction. According to the multifunctional pile machine, various pile foundation types can be constructed on one pile machine, the power head with the multi-channel flow divider and the multi-channel telescopic drill rod are matched, so that the pile machine can achieve efficient and environment-friendly pile foundation construction in a limited space, the adaptability and the integration degree of equipment are improved, continuous work in construction is reduced, and the construction efficiency is improved. And the construction efficiency is improved, and various geological conditions and construction requirements can be met.

The invention discloses a rotary excavating pile construction method for a karst cave dense area capable of preventing water and soil loss. According to the real-time monitoring system, the sensor is installed on the drill bit, various data such as the drill bit position, the drilling speed and the hole wall stability in the drilling process are collected in real time, and real-time feedback is provided for construction. By means of the system, constructors can know the drilling state in time, drilling parameters are adjusted in real time through data analysis, and the drilling process is optimized. By means of real-time monitoring and adjusting, the construction efficiency is improved, risks caused by geological condition changes are greatly reduced, and the safety of the construction process and the drilling accuracy are guaranteed. According to the self-adaptive slurry injection system, the flow and pressure of slurry can be automatically adjusted according to real-time monitoring data, especially when a karst cave or an easily-collapsed hole section is encountered, the system can automatically increase the slurry injection amount so as to maintain the stability of a hole wall, the construction efficiency is improved, and the construction cost is reduced.

The invention discloses an intelligent construction scheme optimization system based on building decoration, and relates to the technical field of building decoration. The system comprises four modules, and the constructor selection module is used for selecting a construction principal according to the performance value of the constructor. The building material monitoring module is used for dividing the storage area into a plurality of monitoring areas and marking the monitoring areas as deviation or overlapping areas according to the area overlap ratio; calculating a zone condition value, and marking the zone condition value as a suitable or non-suitable zone; and calculating a storage score value, and generating a storage early warning signal or a storage qualified signal. The construction safety supervision and analysis module is used for monitoring a construction site in real time and generating a construction early warning signal; calculating an operation monitoring value; and calculating a construction environment coefficient, and generating an environment control abnormal signal or an environment control normal signal. The construction progress risk monitoring module is used for collecting delay data, calculating progress influence values and generating influence signals of different levels; and adjusting the progress plan. According to the system, through intelligent management, the construction efficiency and safety are improved, and the construction cost is reduced.

The invention belongs to the field of intelligent control systems, and particularly relates to a shield attitude real-time intelligent control method based on machine learning, according to the method, a data acquisition module can more comprehensively and accurately reflect the actual condition of shield construction, and in the control process, key parameters such as the working state of a jack and the pressure of a hydraulic system are monitored in real time, so that the control accuracy is improved. Abnormal conditions can be found in time, an emergency plan can be started, and the safety of shield construction is guaranteed. According to the real-time monitoring and feedback optimization mechanism, the safety and reliability of shield construction are effectively improved, and the construction risk is reduced.

The invention discloses a rural house structure optimization design method and system based on building information modeling, and relates to the technical field of building structure analysis design, and the method comprises the steps: obtaining geographical climate data, building user demand data and construction condition data of a to-be-built rural house; determining a house design variable set according to the acquired data; randomly generating an initial solution according to the value range of each variable parameter in the house design variables to construct an initial population; performing individual optimization on the initial population by using a genetic algorithm, screening individuals according to fitness, performing iterative genetic evolution operation including crossover and variation, and finally determining an optimal individual; and inputting target values of various variable parameters indicated by the optimal individual into a BIM construction module to determine a target BIM model for the rural house. Therefore, genetic algorithm optimization and a BIM modeling technology are organically fused, and the structural safety, the economical efficiency, the construction efficiency and the intelligent level of rural house design are improved.

The invention discloses an unmanned aerial vehicle infrastructure construction supervision method and system based on 5G, and belongs to the field of unmanned aerial vehicle monitoring. The unmanned aerial vehicle infrastructure construction supervision system comprises an unmanned aerial vehicle module, a 5G communication module, a data processing module, a cloud storage module, a mobile terminal module, a system management module and a visual management module; the unmanned aerial vehicle module is provided with a high-definition camera, an infrared sensor and a laser range finder, and high-quality construction site data is obtained; the data processing module processes and analyzes the data acquired by the unmanned aerial vehicle; the visual management module compares data acquired by the unmanned aerial vehicle with a construction plan, can generate a real-time visual chart of the construction progress, and displays the construction progress to a supervisor in a visual manner; real-time image transmission is achieved through the system, supervisors can know the progress condition of a project in real time, discover problems in time and take corresponding measures, construction efficiency and quality are improved, and cost and risks are reduced.

The invention discloses a BIM-based constructional engineering progress supervision method and system, and the method comprises the steps: carrying out the classification and clustering of real-time construction data according to resource types, marking the outlier data of each cluster as abnormal progress data, sorting each cluster according to a time sequence, judging whether the cluster at the tail end is abnormal or not, and carrying out the supervision of the progress of the constructional engineering. If yes, marking the corresponding cluster as abnormal progress data, and continuing to check the preorder cluster until all abnormal progress data are screened out; determining the deviation between the actual progress and the planned progress based on the abnormal progress data, and if completion is completed in advance, evaluating the construction quality to match a first processing strategy; and if the delay is completed, matching a second processing strategy according to the delay level. According to the method, the deviation between the actual progress and the planned progress can be quickly and accurately calculated by clustering massive construction data, different processing strategies are matched through different deviation types, the construction scheme can be dynamically optimized, the construction efficiency and the construction quality are considered, and the energy efficiency of construction management is enhanced.

The invention discloses a safety monitoring method and system for a construction area, and relates to the field of construction safety monitoring, and the main scheme is as follows: collecting multiple types of data of the construction area in real time; respectively calculating a safety helmet identification index, an equipment fault risk index, a comprehensive health index and a comprehensive environment safety index to obtain a risk assessment value, and comparing the risk assessment value with a preset threshold to judge whether the construction area is in a risk state; calculating the coverage proportion of the monitoring area, and comparing the coverage proportion with a coverage proportion threshold of the monitoring area to judge whether the coverage proportion of the current monitoring area meets the requirement or not; calculating an unmonitored area proportion, further obtaining a risk assessment index, finally obtaining a construction efficiency index, and comparing the construction efficiency index with a construction efficiency index threshold value to judge the construction efficiency; according to the method, the risk of the construction area can be comprehensively evaluated, risk early warning is realized, monitoring coverage is optimized, and construction safety and efficiency are guaranteed.

A long-distance pipe-jacking tunnel construction method based on three-dimensional stability analysis comprises the following steps: constructing a three-dimensional numerical model based on geological exploration data; performing high-precision discretization processing to form an infinitesimal triangular mesh; assigning physical and mechanical parameters to the soil body in the model; deducing a pipe-jacking tunnel excavation face supporting force calculation formula by applying a limit analysis upper limit theorem; developing an integrated calculation program, and performing comparative analysis with measured data; the accuracy of a calculation program is verified through actual measurement data, the jacking force is dynamically optimized by integrating construction parameters, and the influence of additional stress of the upper structure on construction stability is evaluated; the three-dimensional stability analysis model is optimized and updated, and accurate control over the construction process is achieved; and according to the optimization model and a data analysis result, a construction scheme is adjusted in real time to adapt to stratum change and construction deviation. Compared with a traditional method, the stability analysis precision of pipe-jacking tunnel construction is improved, the construction scheme is optimized, and the method has remarkable engineering application value and popularization prospects.

The invention relates to the technical field of crane control, in particular to an intelligent tower crane anti-collision accurate hoisting system based on multi-sensor fusion, which comprises a data acquisition module, a data processing module, a safety early warning module, a control execution module, a data processing module, a data processing module and a control module, an alarm module electrically connected with the safety early warning module and the data processing module and used for receiving the alarm signal sent by the safety early warning module; a hoisting control instruction is generated based on the alarm signal and the real-time three-dimensional position coordinates of the hoisted object sent by the data processing module; according to the method, the lifting control instruction is executed, the lifting arm angle, the rotation angle and the lifting height of the tower crane are adjusted, accurate lifting and anti-collision control are achieved, and the safety, accuracy and efficiency of the tower crane are comprehensively improved through organic combination of advanced technologies such as multi-sensor fusion, an intelligent algorithm and self-adaptive control.

The invention discloses a shield tunneling machine driving attitude adjusting method and system under multi-sensor monitoring, and relates to the technical field of shield tunneling machine control. Interactive engineering planning is carried out, a tunnel center line is identified, a driving reference axis is determined, a tunnel section is subjected to triangular grid division, and an attitude adjusting module is trained by setting the attitude position relation of a shield tunneling machine; and collecting measurement data, carrying out shield attitude misalignment measurement and adjustment decision of each shield single ring in the tunneling operation of the shield tunneling machine, determining an attitude adjustment strategy, and responding to a control center of the shield tunneling machine to carry out tunneling attitude adjustment management and control. The method and the device are used for solving the technical problems that in the prior art, decision consideration is not comprehensive enough, the technical support degree is insufficient, instantaneity and adaptivity of tunneling posture adjustment cannot be guaranteed, and consequently accuracy and reliability of an adjustment strategy are insufficient. High-precision real-time adjustment and control of the posture of the shield tunneling machine are achieved, and construction safety and efficiency are effectively improved.

The invention discloses a fully-recycled prestressed square pile and latticed column combined stand column pile construction method, and belongs to the technical field of green foundation pit supporting. According to the construction method of the fully-recycled prestressed square pile and latticed column combined stand column pile, the prestressed square pile serves as the lower section of the stand column pile and is organically combined with the latticed column, the stand column pile can be pressed into the designed elevation through static pressure equipment, and the construction method has the advantages of being low in construction cost, high in construction efficiency, free of pollution and the like; the stand column piles are integrally pressed into a soil body, the foundation pit soil body is excavated layer by layer, concrete supports and surrounding purlins on the periphery of a foundation pit are supported layer by layer through self-servo hydraulic converters and supporting cross beams, foundation pit construction operation is easy and efficient, and construction is safer and more stable; moreover, after a bottom plate and structural floor slabs of all layers are built, the stand column piles can be recycled by 100%, zero emission is truly achieved, the low-carbon, environment-friendly and green construction effects are achieved, in addition, sensors can be arranged in the pile sections of the prestressed square piles, and foundation pit full-section monitoring and deformation control are achieved.

The invention belongs to the technical field of ballastless track paving construction, and particularly relates to a paving system for ballastless track paving construction, which comprises a sample steel rail used for detachably connecting a plurality of sleeper blocks and driving the sleeper blocks to move; the sleeper fixing frame is used for fixing the relative positions of the two sample steel rails; the sleeper pier fine adjustment mechanism comprises a height fine adjustment mechanism, a center line fine adjustment mechanism, a lifting adjustment mechanism and a transverse groove piece; the fixed cross rod is arranged in a groove cavity of the transverse groove piece in a sliding manner; the center line fine adjustment mechanism is used for transversely pushing the fixed cross rod; the height of the two ends of the fixed cross rod is adjusted through the lifting adjusting mechanism and the height fine adjusting mechanism respectively. According to the scheme, the mounting positions of the sleeper blocks can be accurately adjusted; adjustment of the center line position and the height position of batched sleeper blocks can be achieved, so that the ballastless track paving construction speed is increased, and the construction efficiency is improved.

The invention belongs to the technical field of anchoring strength detection, and discloses an underground anchor rod anchoring strength prediction method and system based on a support vector machine method. The method comprises the steps of cleaning data, processing missing values and standardizing features; using correlation analysis or other feature selection methods to select features with high correlation with anchoring strength; performing model training by using a support vector machine method SVM, and optimizing hyper-parameters by using grid search; completing the construction of a support vector machine model; and carrying out model evaluation and result visualization. Key parameters in the mixing process are monitored in real time through the sensor network, the system can obtain anchoring strength data in real time, the detection period is greatly shortened, and the construction efficiency is improved. The support vector machine algorithm is adopted to analyze and predict the collected data, personal errors can be eliminated to a greater extent, and the accuracy and reliability of anchoring strength detection are improved.

The invention relates to the technical field of concrete tower footings, and discloses a fabricated prestressed concrete tower footing for a land wind turbine generator and a construction method, a bottom framework is placed in a foundation pit under the supporting action of a corresponding supporting frame, and an annular seat penetrates through the supporting frame and realizes positioning of the supporting frame; the inner framework is supported at the center in the outer framework; under the combined action of the top fixing mechanism and the bottom fixing mechanism, the outer framework and the inner framework are kept vertical. By arranging the inner framework, the outer framework can be supported, the inner framework and the outer framework form a whole after the concrete is solidified, and the overall structural strength is high. Under the combined action of the top fixing mechanism and the bottom fixing mechanism, the space between the outer framework and the inner framework can be ensured to be consistent up and down, and the relative positions of the outer framework and the inner framework are prevented from deviating during concrete pouring, so that the overall structural strength of the outer framework and the inner framework meets the requirement after the concrete is solidified.