2791results about "Foundation testing" patented technology

Disclosed in the present invention is a foundation pit safety early-warning method based on multi-source monitoring data fusion. The method comprises: first constructing a foundation pit safety evaluation indicator system, and acquiring cumulative values and change rates of multi-source time-series monitoring indicators; then determining a foundation pit safety grade identification framework, using multi-source time-series monitoring data as different evidence, and performing normalization processing; then, on the basis of the multi-source time-series monitoring data, determining basic probability assignment values in the identification framework; then, separately calculating weights of multi-source monitoring indicators, and credibility; and finally, fusing multi-source monitoring data of a foundation pit, in order to obtain a foundation pit safety evaluation grade. The present invention is characterized in that the importance of different monitoring indicators and the credibility of evidence are taken into consideration while making full use of actually measured monitoring data of a foundation pit, thereby ensuring that foundation pit safety state identification is objective, avoiding interference from subjective human factors, and effectively overcoming the defects of a traditional D-S evidence theory.

The invention relates to the technical field of pile foundation monitoring, and discloses a pile foundation state real-time monitoring and diagnosis system based on a digital twinborn technology. The system comprises a multi-source data acquisition module, a data confidence evaluation module and an acoustic emission monitoring decision module. The multi-source data acquisition module comprises a plurality of sensor groups deployed at different depths of a pile foundation, each group comprises a strain sensor, an acceleration sensor, an acoustic emission sensor and a temperature sensor, and pile foundation data can be acquired in multiple dimensions; the data confidence evaluation module receives original data, generates a correction data sequence through time sequence noise separation and reconstruction, and calculates data confidence according to correction data distribution dispersion; the acoustic emission monitoring decision module judges whether acoustic emission monitoring is started or not according to the data confidence coefficient, and controls the acoustic emission sensor array at the top of the pile foundation to collect acoustic emission signals during starting. The system can comprehensively obtain pile foundation data, improve data accuracy, achieve early damage recognition and guarantee pile foundation safety.

The invention relates to the technical field of optical measurement and geometric position measurement, in particular to a remote multipoint monitoring system and method for roadbed surface settlement, and the system comprises a plurality of distributed monitoring nodes and a remote data platform; the monitoring node comprises a heterogeneous sensor group and an edge processing module which is connected with the sensor group and is used for carrying out local preprocessing and fusion on multi-source data; the wireless communication module is used for sending the data to a remote data platform; the power supply and maintenance module provides electric energy and supports node cleaning and environment adaptation; the remote data platform comprises a data receiving and storage unit, a data fusion and analysis unit, an early warning unit and a visual user interface. According to the invention, a multi-sensor fusion intelligent monitoring network is constructed, all-weather and high-precision remote monitoring of urban road subgrade settlement and associated crack deformation thereof is realized, settlement trend prediction and early warning are provided through AI analysis, and the initiative and safety guarantee level of urban road maintenance are improved.

The invention provides a method and system for estimating the vertical bearing capacity of a steel pipe pile, and relates to the technical field of pile foundation engineering.The method comprises the steps that a static cone penetration test is conducted on a seabed stratum needing to be arranged for a steel pipe pile foundation, experimental data are obtained and subjected to normalization processing, soil behavior types are divided, and soil layer mechanical parameters are inverted; calculating side friction resistance and end resistance of the steel pipe pile based on the soil layer mechanical parameters to obtain initial static ultimate bearing capacity; historical equivalent cyclic load experimental data of waves in the construction sea area are obtained, an equivalent cyclic load reduction coefficient, a liquefaction reduction coefficient and a time-varying corrosion reduction coefficient are constructed, and a comprehensive time-varying reduction coefficient is constructed; the initial static ultimate bearing capacity is corrected based on the comprehensive time-varying reduction coefficient, the vertical bearing capacity of the steel pipe pile in the long-term service period is predicted, and the time-varying ultimate bearing capacity is obtained; setting an evaluation threshold according to the time-varying ultimate bearing capacity, dynamically adjusting a bearing capacity grading threshold interval, and outputting a bearing capacity grading evaluation result.

The invention relates to a coal mining subsidence area plant foundation monitoring method and system based on multi-source data fusion, and the method comprises the steps: obtaining multi-source monitoring data of a target coal mining subsidence area plant area, the multi-source monitoring data comprising satellite remote sensing data, ground measurement data and interference radar data; performing time synchronization and space unification on the multi-source monitoring data to obtain monitoring data with unified space; performing fusion processing on the monitoring data with uniform space to obtain comprehensive deformation data; constructing a three-dimensional settlement deformation field according to the comprehensive deformation data, and extracting deformation rate and acceleration information of each monitoring point through a gradient calculation method; and according to the deformation rate and the acceleration information, obtaining risk assessment of the plant foundation in the target coal mining subsidence area. The technical problems of multi-source heterogeneous data fusion and real-time settlement monitoring and early warning are effectively solved, and the precision and timeliness of foundation settlement monitoring are improved.

The invention discloses a bridge engineering-oriented foundation pile quality detection system, which relates to the technical field of engineering quality detection, and comprises a data acquisition module configured to acquire detection data including foundation pile construction parameters, geological environment data, stress wave signals and geometric dimension parameters, the wave velocity correction module is configured to correct a standard wave velocity through a dynamic coupling algorithm, the defect depth calculation module is configured to calculate the defect depth of a foundation pile defect, and the credibility evaluation module is configured to output a credibility correction coefficient and feed back the credibility correction coefficient to the wave velocity correction module by quantifying errors of detection data; according to the method, through multi-physical field wave velocity correction, pile diameter-defect depth double correction and credibility quantitative iteration, a high-precision, objective and traceable integrated solution is systematically provided for bridge engineering foundation pile quality detection.

The invention discloses a multi-dimensional monitoring and early warning system and method for displacement, axial force and water level in a deep foundation pit. The system comprises a data acquisition module, a data transmission module, a data processing module, a risk assessment module, an early warning issuing module and a user interaction module. The data acquisition module is composed of a displacement monitoring sub-module, an axial force monitoring sub-module and a water level monitoring sub-module and is used for respectively acquiring displacement, axial force and water level data in the foundation pit; the data transmission module is responsible for transmitting data to the data processing module; the data processing module cleans, fuses, analyzes and processes the data; the risk assessment module performs risk assessment on the processed data according to a preset standard; the early warning issuing module issues early warning information according to the risk assessment result; the user interaction module is used for displaying information and configuring system parameters. The method has the advantages that real-time, continuous and multi-dimensional monitoring of the construction process of the deep foundation pit is achieved, high-risk points can be accurately recognized, early warning can be conducted in time, and the construction safety of the foundation pit is guaranteed.

The invention relates to the technical field of building monitoring, and provides an early warning method and system for pile foundation health state analysis. The method comprises the steps that a monitoring platform receives and processes various monitoring data from a multi-source sensor in real time, and data fusion and dynamic trend analysis are carried out on the various monitoring data by combining a graph neural network and a lightweight multi-head attention sequential network with a building structure of a target building to obtain an initial pile foundation evaluation result; uploading the initial pile foundation evaluation result of the target building in each geographic area and various monitoring data to a cloud data processing center; the cloud data processing center stores the initial pile foundation evaluation results of the target buildings in the geographic areas, and comprehensively evaluates the correlation trend between the target buildings in the geographic areas to obtain correction parameters; and the correction parameters are issued to a monitoring platform, the monitoring platform dynamically combines the correction parameters to update the pile foundation health state of the target building in each geographic area, and a target pile foundation evaluation result of the target building is obtained.

The invention relates to a rock slope support model construction scheme generation method and device, equipment and a medium. According to the method, a three-dimensional geological model fusing geological information and rock mass parameters is constructed, an initial damage field is obtained in combination with micro-seismic monitoring data and statistical learning inversion, and then a constitutive model capable of reflecting the damage and plastic coupling evolution law is established and calibrated; the model is used for dynamically predicting a spatio-temporal evolution path of a potential slip plane in the excavation process, the supporting opportunity and position are accurately judged based on the stress and damage state in the path, a spatio-temporal sequence scheme is generated, and finally optimal supporting parameters are solved through the multi-objective optimization model. And finally, a set of dynamic support construction scheme capable of actively controlling damage development and giving consideration to safety and economical efficiency is integrated and output, technical spanning from passive reinforcement to active intervention and from static design to dynamic optimization is achieved, and the accuracy and reliability of slope support are effectively improved.

The invention relates to the technical field of cast-in-place pile detection, and discloses a cast-in-place pile integrity detection system based on a multi-mode ultrasonic array, and the system comprises a deformable multi-mode ultrasonic probe which is used for adaptively adjusting the posture through an intelligent material driver; the intelligent coupling injection module is used for automatically cleaning the inner wall of an internal channel of the cast-in-place pile; the multi-source data processing module is used for receiving the original ultrasonic waveform data and the real-time position information of the ultrasonic probe; the deep learning recognition module is used for generating a recognition result including defect categories and preliminary features; the defect positioning and evaluating module is used for constructing a defect model comprising defect space coordinates, geometric dimensions and severity parameters; and the diagnosis decision module is used for providing targeted repair suggestions. The ultrasonic signals are transmitted and received through the integrated longitudinal wave transducer, the transverse wave transducer and the Rayleigh wave transducer, the internal structure information of the pile body is obtained, in this way, the ultrasonic beam coverage range is expanded, and the detection blind area of the area between the sounding pipes in a traditional method is effectively made up.

The invention relates to geotechnical engineering pile foundation equipment, in particular to intelligent cast-in-place pipe pile equipment integrated with a multi-source sensor and a construction method. A spiral sleeve; a double-layer sleeve wall protection system; an outer sleeve anti-rotation pressing system; and a pile core soil anti-rising telescopic system and the like. The intelligent PCC pile construction equipment integrates torque, rotating speed, drilling speed, drilling pressure and other multi-source sensors and an artificial intelligence algorithm to achieve intelligent sensing and control over a pile machine, efficient combined soil spinning of a spiral sleeve and a double-layer sleeve wall protection system is achieved through a hollow rotating power equipment system, an annular cavity is rapidly formed, a reinforcement cage is put down, concrete is poured to form a PCC pile, and the construction efficiency of the PCC pile is improved. Finally, the inner sleeve and the outer sleeve of the double-layer sleeve wall protection system are pulled out in a vibrating mode at the same time under the action of the winch up-pulling system, and the inner sleeve and the outer sleeve are in butt joint and reset with the annular rotary excavating soil taking system, the problems that a traditional PCC pile is limited in application in complex stratums and a reinforcement cage cannot be put down are solved, and the construction intelligence is achieved.

The invention discloses a roadbed and pavement compactness detection and regulation method for road engineering. The method comprises the following steps: deploying an intrusive sensor array to monitor an internal physical state and water-heat-force coupling phase change data; synchronously acquiring operation data of intelligent compaction equipment and scanning data of nondestructive detection equipment, and identifying a phase change critical point of the material; a disturbance propagation coefficient is calculated through a mechanical transmission chain model after data fusion, a target point is determined, and automatic micro sampling is carried out; and fusing all data to establish a macro-medium-micro three-scale fused compaction prediction model, generating a real-time regulation and control instruction to realize closed-loop control, and finally generating a three-dimensional compaction degree distribution digital twin model. According to the method, multi-source data are integrated, material phase change and mechanical transfer rules are associated, and the stability and the intelligent level of compaction quality are improved.

The invention relates to a pile foundation deformation indirect monitoring device and method based on optical fiber sensing, the device comprises a counterweight guide hammer, a steel wire rope, a distributed sensing optical fiber and a BOTDA optical signal demodulation device, the counterweight guide hammer is used for guiding the distributed sensing optical fiber to enter a drill hole, the steel wire rope is bound and connected with the counterweight guide hammer through a hanging ring above the counterweight guide hammer, and the BOTDA optical signal demodulation device is connected with the BOTDA optical signal demodulation device. The BOTDA optical signal demodulation equipment is used for pulling a counterweight guide hammer, the distributed sensing optical fiber comprises a connecting section, a measuring section I, a measuring section II, an optical signal input section and an optical signal output section, and the BOTDA optical signal demodulation equipment is used for collecting and analyzing an output Brillouin scattering light signal; the method comprises the following steps: 1, laying measuring points; 2, strain conversion; 3, geometric transformation; and 4, mechanical conversion. The device solves the limitation that the existing monitoring technology cannot carry out nondestructive testing on the existing pile foundation, and is simple in structural design, efficient in layout and easy to popularize.

Disclosed in the present invention are high-rise pile cap equipment under a horizontal load and a centrifuge test method for foundation bearing characteristics thereof. The equipment comprises a model box, a sand layer, a model pile cap, at least eight model piles, a horizontal loading device, at least two laser displacement sensors, an axial force sensor, and a plurality of strain gauges. The method comprises: S1, performing one-way horizontal loading on high-rise pile cap equipment under a horizontal load to obtain an ultimate foundation bearing capacity situation, a model pile body axial force distribution situation, a pile foundation axial force comparison situation, a model pile body bending moment distribution situation, and a model pile body bending moment comparison situation of the equipment; and S2, performing one-way variable amplitude cyclic loading on the high-rise pile cap equipment under the horizontal load to obtain a foundation displacement situation, an effect of the number of cycles on foundation stiffness, an effect of a cyclic load amplitude on the foundation stiffness, and a foundation inclination situation. In this way, the foundation design of the high-rise pile cap can be optimized, and a basis and a reference for evaluating safety of foundation long-term service are provided.

The invention discloses a side slope protection system based on slide-resistant piles, and belongs to the technical field of side slope treatment. The system comprises a data acquisition module, a digital twin modeling module, a multi-pile cooperative control module, an anti-slide pile parameter adjustment module, a stress change capture module and a risk prediction and early warning module. Multi-dimensional data are acquired in real time through the data acquisition module, the multi-pile cooperative control module divides a core group and a cooperative group, virtual parameters are dynamically adjusted in combination with the parameter adjustment module, the stress trend is tracked through the stress change capture module, and the risk prediction and early warning module generates multi-level early warning. The technical effects of slide-resistant pile supporting parameter dynamic optimization, pile group collaborative unloading, stability intelligent prediction and risk active early warning are achieved, and the problems that in the prior art, slide-resistant pile static design cannot adapt to slope dynamic changes, multi-pile collaboration is insufficient, risk assessment lags behind, and the parameter adjustment cost is high are solved.

The invention provides an open caisson sinking control method based on dynamic balance of a soil resistance field, which comprises the following steps of: judging whether an open caisson posture dynamic balance condition is met or not according to an open caisson bottom surface soil resistance vector field and an open caisson posture offset, if not, intervening space distribution of the open caisson bottom surface soil resistance vector field, and reconstructing the open caisson bottom surface soil resistance vector field; the dynamic balance condition of the open caisson posture is met; and based on the open caisson bottom surface soil resistance vector field, the height difference vectors of the adjacent bins on the open caisson bottom surface and the soil taking control matrix, a dynamic decision objective function is constructed, the objective function is solved, an optimal soil taking control matrix is obtained, and an actuator cluster is controlled to take soil from the bins on the open caisson bottom surface. According to the method, the influence of dynamic evolution of the soil resistance field of the bottom face of the open caisson on the open caisson attitude offset is considered, the soil resistance field is dynamically adjusted, the open caisson attitude is accurately controlled, and soil taking control is optimized.

The invention discloses an anti-settlement method and system for a conjoined building with asynchronous foundation construction. The method comprises the following steps: step 1, establishing a multi-stage coupling settlement prediction finite element model of the conjoined building; 2, a settlement active control system composed of a central control unit, a distributed sensor network and a servo hydraulic actuator array is arranged at the structure connection interface of the asynchronous construction areas of the connected building; 3, in the whole construction process, relative settlement data of all the areas are continuously monitored in real time; 4, comparing the real-time settlement data with the prediction model data, and calculating a deviation value; and 5, according to the deviation value, the needed active supporting force is calculated, the servo hydraulic actuator array is instructed to adjust the output force of the servo hydraulic actuator array in real time, and therefore differential settlement in the construction process is actively controlled within the preset minimum threshold value range. According to the invention, the internal stress of the structure is greatly reduced, and a long waiting period required by technologies such as post-cast strips is canceled.

The invention discloses an integrated foundation pit support monitoring and early warning system and method. A multi-source sensor array, a distributed data processing unit and an intelligent early warning module form a cooperative work framework; the multi-source sensor array is deployed in a stress concentration node area of a foundation pit enclosure wall body and an internal steel support system by adopting a multi-level nested structure, and the data processing unit carries out space-time registration and feature fusion processing on a multi-source heterogeneous monitoring data flow, and constructs a dynamic safety margin evaluation model containing a steel support axial force-bending moment coupling effect; and the intelligent early warning module generates a multi-level risk early warning signal based on the output result of the dynamic safety margin evaluation model. According to the method, the axial force / bending moment / temperature parameters are synchronously captured through asymmetrically arranged multi-source sensor arrays, cooperative warning of threshold triggering and deep learning trend prediction is achieved in combination with a two-stage early warning mechanism, continuous monitoring during communication interruption is guaranteed by deploying edge computing nodes, and the risk sensing precision and the advanced early warning capacity of a deep foundation pit supporting system are improved.

The invention relates to the technical field of pile foundation deformation measurement, in particular to a pile foundation deformation distributed test method and system, and the method comprises the steps: obtaining a time sequence strain value sequence of sampling points of a tower pile foundation, calculating a dynamic disturbance index, extracting a quasi-static signal, and determining a long-term strain value increment through time domain trend analysis; through space-time decoupling operation, correlation between time evolution behaviors of a sampling point and a physically adjacent sampling point is compared, and a space localization index is determined; taking the spatial localization index as a confidence coefficient weight, and performing weighted distribution on the long-term strain value increment to respectively determine an adaptive global trend component and a local abnormal component; and finally, performing spatial integral operation on the global trend component and the local abnormal component to obtain two decoupled deformation curves so as to determine the deformation state. The method improves the accuracy of the deformation test.

The invention relates to the technical field of deep foundation pit monitoring, and discloses a deep foundation pit micro-deformation InSAR remote sensing method and system and a storage medium. The method comprises the following steps: synchronously acquiring data through a ground radar and an InSAR satellite, and obtaining a point target set and an original scattering characteristic sequence; obtaining a net deformation phase sequence without influence through registration residual correction, phase deduction and weighted fusion processing, and carrying out phase consistency quality control and unwrapping processing to obtain an accumulated deformation quantity sequence; constructing a deformation mechanism correlation characteristic matrix based on correlation analysis of the cumulative deformation quantity sequence and radar reflection intensity amplitude attenuation characteristics; and fusing the deformation mechanism correlation feature matrix and the real-time differential interference image group, extracting deformation rate and phase gradient change, and further generating a deep foundation pit local micro-deformation risk early warning index set. According to the invention, the tiny deformation of the surrounding area of the foundation pit can be effectively detected, potential risks are warned in advance, and the safety and monitoring efficiency in the construction process are improved.

The application relates to a combined device and method for vertical static load test of water anchor pile method. Two gantries are arranged at the two ends of a water bearing platform, a steel beam passes through the space of a to-be-tested foundation pile connecting assembly I and an anchor pile connecting assembly II in the shape of a Chinese character 'jing', and the two ends are respectively suspended below the cross beams of the gantries; the to-be-tested foundation pile connecting assembly I is arranged in the middle of the steel beam, two anchor pile connecting disc assemblies II are arranged at the two ends of the steel beam, the lower end surface of a connecting disc I of the to-be-tested foundation pile connecting assembly I and the lower end surface of a connecting disc II of the anchor pile connecting assembly II are located on the same horizontal plane; a pulling jack is arranged between an upper tensile small cross beam I of the to-be-tested foundation pile connecting assembly I and the steel beam; a compression jack is arranged between the steel beam and the connecting disc I of the to-be-tested foundation pile connecting assembly I; and a recording platform is arranged beside the to-be-tested foundation pile below the middle part of the steel beam. The application combines the compression and pulling static load test devices into one, can be easily converted, is quickly installed, and the test result is reliable.

The invention provides a method for repairing and maintaining an ecological bank protection structure of a water conservancy project. Comprising the following steps: S1, screening and domesticating functional microorganisms; S2, constructing a vegetation and microorganism synergistic remediation unit; S3, precisely arranging the synergistic remediation unit on site; S4, dynamically monitoring and coordinately regulating and controlling: screening and domesticating the functional microorganisms, constructing the synergistic remediation unit, precisely arranging the synergistic remediation unit on site, and dynamically monitoring and regulating and controlling. A microorganism-vegetation-carrier synergistic effect mechanism is formed, so that the technical problems of structural stability and ecological function separation in traditional revetment restoration are solved; the method has the advantages that the synergistic interaction of structure stability and ecological restoration is realized, the self-repairing capability of a microorganism-vegetation symbiotic system is improved, a multi-dimensional dynamic monitoring regulation and control mechanism is established, and the manual maintenance cost is reduced.

The invention discloses a foundation pit supporting strength self-adaptive adjusting method and system based on real-time monitoring data, and relates to the technical field of engineering control, and the method comprises the following steps: collecting monitoring data of a foundation pit supporting structure in real time; preprocessing the monitoring data to obtain standardized time series data; inputting the standardized time sequence data into a pre-trained LSTM prediction model, and outputting a displacement prediction value sequence; calculating a prediction state index based on the displacement prediction value sequence; with minimization of the maximum prediction state index and minimization of the total support strength adjustment cost as targets, a multi-target optimization model is constructed, and the optimal prestress adjustment amount of each intelligent support execution mechanism is solved; and the optimal prestress adjusting quantity is converted into a control instruction, and a corresponding intelligent supporting execution mechanism is driven to act. The foundation pit supporting strength can be automatically and accurately adjusted according to data monitored in real time.

The invention relates to the technical field of deformation prediction, in particular to a rock high slope excavation anchoring deformation prediction method based on artificial intelligence, and the method comprises the following steps: obtaining multi-source image data, analyzing rock volume and gravity center transfer, extracting a corresponding relation between abnormal stress and displacement, constructing a structure offset path, and screening continuous abnormal features. And extracting a key deformation rate interval to obtain an anchoring deformation trend prediction result. According to the method, the position of an unbalanced section is judged by constructing a gravity center transfer track and a mass difference space sequence and combining a coupling relation between a stress abnormal point and a displacement response direction, a collaborative evolution section of a structure offset path and a stress boundary is extracted, and a continuous abnormal zone is screened according to a crack change and joint fluctuation trend. A key change interval is extracted in combination with the time feature of the shear deformation rate, dynamic judgment of a structural deformation path and an extension direction is completed, and the spatial continuity recognition capability and the time response resolution are enhanced.

The invention relates to a deep and large foundation pit supporting automatic monitoring early warning and dynamic adjusting system, and relates to the technical field of engineering monitoring, and the system comprises foundation pit supporting structure automatic monitoring devices which are disposed at the positions of all monitoring items of a foundation pit and are used for collecting real-time monitoring data; the monitoring data processing analysis and early warning platform is in communication connection with the monitoring device and is used for analyzing the real-time monitoring data and determining the risk level according to the displacement of the deformation value of the monitoring position exceeding the safety threshold value; the supporting structure automatic adjusting device is in communication connection with the early warning platform and comprises a control center and hydraulic equipment, the control center obtains risk data including the risk level, the risk position importance degree and the structure importance degree based on the deployment position of the monitoring device, and the hydraulic equipment controls and adjusts the length of the telescopic rod at the corresponding risk position in real time according to the risk data. The functions of real-time monitoring, early warning and dynamic adjustment of the supporting structure can be achieved, so that the safety and efficiency of foundation pit supporting construction are improved.

The invention discloses a large-diameter super-long permanent steel casing sinking positioning system and a construction method thereof. The large-diameter super-long permanent steel casing sinking positioning system comprises an adjustable lifting guide frame, an inner wall supporting component and a positioning monitoring and dynamic closed-loop deviation rectifying system. The guide frame is a double-layer guide frame with adjustable height so as to meet the sinking of steel casings with different lengths; transverse support members are arranged on the inner wall of the steel casing at equal intervals to prevent water pressure difference between the inside and outside of the steel casing at the deepwater position or local deformation under the action of impact load; the monitoring and dynamic closed-loop correction system comprises a total station scanner and a double-shaft inclinometer, the plane position and perpendicularity of the steel casing are fed back in real time, the steel casing is fixed through an automatic position adjusting jack and a V-shaped pressing block, the plane position and perpendicularity of the steel casing are dynamically corrected in real time, and it is ensured that the top face of the casing meets the construction standard. According to the positioning system and the construction method thereof, the technical problems of poor adaptability, low positioning precision, delayed deviation correction response and the like in the sinking process of a large-diameter super-long steel casing in a complex stratum in a deepwater area can be solved.

The invention relates to the technical field of wind power foundations, in particular to a wind power foundation and a construction method thereof. Comprising a base and four concrete pile foundations, a hydraulic column is installed at the top end of each concrete pile foundation, an expansion supporting piece is arranged on each concrete pile foundation, the movable end of each hydraulic column is hinged to the base, a universal ball seat is embedded in the center of the base, a foundation column is installed on the top face of the universal ball seat, and a limiting disc is installed at the bottom of the foundation column; a set of limiting springs are installed between the limiting disc and the base, the base column is slidably sleeved with a universal sliding sleeve, the top and the bottom of the universal sliding sleeve are each provided with a turbulent flow device, a lantern ring is embedded in the universal sliding sleeve, four universal hinge joints are embedded in the lantern ring, and four hydraulic push rods are hinged to the base. According to the invention, a wind-resistant stable system which takes an electric control system as a core and is deeply linked with the hydraulic push rod, the universal sliding sleeve and the turbulent flow device is constructed, and the technical breakthrough from passive bearing to active counteracting is realized.