2318results 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 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 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 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.

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 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 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 discloses a system and a method for automatically measuring pipe network parameters based on three-dimensional scanning of a wellhead of an inspection well, and belongs to the technical field of municipal engineering measurement. The system comprises a wellhead fixing assembly, a three-dimensional laser scanning assembly, a posture sensing assembly, a distance measuring assembly, a coordinate input assembly, a control processing assembly and a telescopic rod assembly. According to the method, through system deployment leveling, coordinate reference establishment, working condition judgment, point cloud acquisition, data processing and result output, automatic measurement of inspection well depth, pipe network pipe diameter, pipeline trend and pipe orifice center coordinates is realized. The system is fixed at a wellhead, does not need to descend, and adapts to scenes such as shallow wells / deep wells and good / weak signal areas; based on a high-density point cloud and an automatic algorithm, the measurement precision is high, the efficiency is improved, and output data can be directly used for pipe network modeling. The method solves the problems of low efficiency, strong manual dependence and poor safety of traditional measurement, and is suitable for parameter measurement of various inspection wells and pipe networks.

The invention relates to the technical field of water and soil conservation and ecological restoration, in particular to an ecological slope water and soil loss monitoring and restoring system and method.The system comprises a monitoring and restoring node, a monitoring and restoring node and a monitoring and restoring node, the monitoring and restoring node is internally provided with a double-micropore channel for measuring the conductivity of a water sample in a layered mode, and a pore water pressure sensor and a pressure release valve are used for conducting pore pressure monitoring and micro pressure release; a double-verification logic module is built in, two-stage necessity verification and two-stage effectiveness evaluation are achieved, and then the instability risk is accurately judged and self-adaptive repair is achieved. The ecological slope water and soil loss monitoring and repairing system and method solve or at least relieve the problems that an existing system is difficult to distinguish transient disturbance and real instability precursor and lacks intervention effect evaluation and self-adaptive optimization, the instability precursor and disturbance can be accurately distinguished, intervention can be effectively evaluated, self-adaptive optimization is achieved, and the ecological slope water and soil loss monitoring and repairing system and method are provided. And the intelligence, intervention credibility and long-term reliability of the system are improved.

The invention provides a granite residual soil side slope intelligent anchoring system and an instability early warning method, and the system comprises a multi-source sensing monitoring module which is used for collecting side slope rock-soil body permeability parameters, anchoring structure states and environment data in real time; the dynamic osmotic analysis module is used for dynamically correcting the osmotic coefficient and dividing a saturation region according to the real-time osmotic parameters in combination with the disintegration characteristics of the granite residual soil; the intelligent anchoring regulation and control module is used for regulating the prestress of the anchor rod and the working state of the drainage hole in real time based on the permeation saturation area distribution and the anchor rod state data; and the CNN instability early warning module is used for fusing the multi-source sensing data through a convolutional neural network, outputting a slope instability index and triggering early warning. The technical problems that an existing side slope anchoring system cannot accurately capture the penetration sudden change and anchoring degradation coupling risk of granite residual soil under heavy rainfall, the early warning precision is low, and response lags are solved.

The invention discloses an open caisson sinking construction control method and system based on accurate sinking resistance detection. The open caisson sinking construction control method comprises the steps that an end resistance monitoring device and a side friction resistance monitoring device are pre-buried in an open caisson structure; in the sinking process of the open caisson, end resistance and side friction resistance data are collected; the data processing center dynamically calculates the real-time proportion of the end resistance and the total side friction resistance in the sinking total resistance, and analyzes the spatial distribution characteristics of the real-time proportion; based on the real-time proportion and the spatial distribution characteristics, the sinking state of the open caisson is intelligently judged, and the sinking state at least comprises normal sinking, end resistance type sinking difficulty, side resistance type sinking difficulty, inclination risk and sudden sinking risk; and according to the intelligently judged sinking state, a targeted control instruction is generated and output so as to control a sinking assisting system deployed on the open caisson to execute partitioned and graded resistance reduction or stable sinking operation. Real-time sensing, intelligent diagnosis and accurate active control of the sinking process of the open caisson are achieved, and the construction safety, efficiency and engineering quality are effectively improved.

The invention provides a real-time early warning method and device for deformation of a foundation pit supporting structure, and the method comprises the steps: transmitting displacement monitoring data and stress monitoring data, which are collected in real time, to a cloud analysis platform based on a fiber grating sensor group installed at a key part of the foundation pit supporting structure; the cloud analysis platform performs fusion analysis on the displacement monitoring data and the stress monitoring data based on a displacement-stress correlation model to obtain a deformation trend of the foundation pit supporting structure; and when the cloud analysis platform judges that the deformation trend is close to a preset safety limit value, an early warning signal is automatically sent out, and a targeted reinforcement suggestion is generated and pushed to an associated terminal. According to the method, the defects that the accuracy is insufficient and interference is easily caused during current data monitoring, and the deformation prediction is inaccurate are overcome.

The invention relates to the technical field of foundation pit engineering construction, in particular to a foundation pit drainage optimization method and system based on water level monitoring. Comprising the steps that precipitation partitions are divided according to geological conditions and a construction scheme, and precipitation wells and observation wells are arranged; determining differentiated target water level drop depth according to the excavation depth and the support state; establishing an inter-partition hydraulic coupling model through a pulse water pumping test, and determining coupling kernel function parameters; predicting the future water level change through convolution operation based on the coupling kernel function and the historical water yield; calculating an optimal water yield sequence by adopting a rolling time domain optimization method, and taking the minimum accumulated water yield as a target and meeting the target water level drop as a constraint; controlling the operation power of the water pump and implementing cooperative compensation; coupling kernel function parameters are periodically updated to adapt to system changes. The rainfall control precision is improved, the energy consumption is reduced, and the construction safety is guaranteed.

The utility model provides an underwater robot for bridge detection, which relates to the technical field of bridge detection, and comprises a robot main body, a floating component for providing floating force is arranged at the upper part of the robot main body; the propeller set comprises two side propellers and two tail propellers, the two side propellers are located on the front face of the robot body, and the two tail propellers are located at the same end of the buoyancy assembly and symmetrically arranged front and back; and the two symmetrical walking mechanisms are arranged on the robot main body through mounting structural members. The beneficial effects of the utility model are that through the reasonable layout of the propeller group and the cooperative work of the propellers at the two sides and the tail part, accurate water surface positioning and movement are realized, and the robot is ensured to smoothly approach and fit a pile foundation from the water surface; the posture of the whole machine does not need to be adjusted when the pile foundation is close to the pile foundation, and the pile foundation can be directly adsorbed and attached through the propellers on the two sides; a tensioning mechanism in the walking mechanism has self-adaptability, and an elastic support is matched with a connecting frame connected in a sliding mode.

The invention discloses a pile head treatment method applied to a static load test, and relates to the technical field of prestressed pipe pile static load tests, and the pile head treatment method comprises the following steps: step 1, pile head treatment: carrying out muck cleaning work on a cut pile head; secondly, a buffer protection structure is poured on the pile head through the multifunctional pile head processing device; the multifunctional pile head processing device comprises a diagonal bracing structure in lap joint with the upper opening edge of an inner cavity of a pile head, a baffle falling on the diagonal bracing structure, an inner formwork surrounding the baffle and an outer formwork surrounding the outer edge of the pile head, and the portion between the inner formwork and the outer formwork and the portion above the baffle are used for pouring to form buffer layers; the multifunctional pile head device further comprises arc-shaped steel pile hoops, the two steel pile hoops are spliced and then arranged on one section of the pile head pouring buffer layer of the pipe pile in a sleeving mode, and the steel pile hoops are matched with the buffer layer to form a buffer protection structure. The method has the effect of reducing the probability that the static load test is influenced by the damage of the pile head of the prestressed pipe pile.

The invention discloses a biomimetic anchor fluke type monitoring robot for a waste dump slope, and relates to the technical field of slope monitoring, the biomimetic anchor fluke type monitoring robot comprises a slope detector, a main body unit is arranged on the bottom surface of the slope detector, and a fixing unit for anchoring equipment at multiple angles is arranged on the bottom surface of the main body unit; the main body unit comprises a solar panel fixedly mounted on the bottom surface of the gradient detector and a base arranged on the bottom surface of the solar panel and playing a connecting role; after the fixed block is pushed to a certain depth, the anchoring telescopic rod drives the movable connecting rod to contract, the movable connecting rod drives the sliding block connected with the movable connecting rod to move, the inclination angle of the movable connecting rod is driven to change along with sliding of the sliding block in the limiting sliding groove, and it is ensured that the anchoring telescopic rod can always control the motion state of the sliding block; after the anchoring telescopic rod is completely contracted, the five soil breaking cones are unfolded from the contracted state and are unfolded in the soil in a lotus shape, and the stability of the equipment is further enhanced.

The invention relates to the technical field of ocean engineering construction monitoring, and discloses an offshore wind power jacket foundation slurry leakage detection device and a slurry leakage detection method. The slurry leakage detection device comprises a main body frame, a multi-mode sensor array, a central processing unit, a communication transmission module and a power supply unit, the central processing unit is configured to receive and process data collected by the multi-mode sensor array, judge whether a slurry leakage event occurs or not through multi-source information fusion analysis, and generate an alarm signal containing slurry leakage position information when slurry leakage is confirmed. According to the invention, in-situ and real-time acquisition, processing and transmission of environmental data of a grouting area can be realized, and the hysteresis problem caused by dependence on indirect signals in the background technology is solved. The device is directly deployed in an area with the highest slurry leakage risk, physical signals at the moment of slurry leakage can be captured, the directness and the real-time performance of detection are improved through multi-source information fusion analysis of the central processing unit, and reliable hardware conditions are provided for subsequent quick response.

The invention discloses a seasonal frozen region salinization roadbed deformation monitoring and early warning method based on a neural network. Comprising the steps of static attribute data acquisition, dynamic monitoring data acquisition, action process data acquisition, data gridding fusion, construction and training of a first neural network model, construction and training of a second neural network model, regular monitoring and intelligent diagnosis and intelligent prediction and beforehand early warning. Data fusion is performed on spatial continuous data, investigation data, traffic load, freeze-thaw cycle and other action process data of a vertical deformation field and a salt concentration field of a roadbed, and then a serial neural network model is utilized to predict the disease type and severity of the roadbed under current and future working conditions. Full-chain intelligent analysis from multi-source data fusion, deformation prediction to disease identification is realized, the problems of monitoring fragmentation and early warning lag of a traditional method are solved, and the perception ability and the beforehand early warning level of the health state of the salinized roadbed in the seasonal frozen region are remarkably improved.

The utility model discloses bridge detection equipment based on an underwater robot, and belongs to the technical field of bridge detection equipment, the bridge detection equipment comprises a robot body, a mounting mechanism is mounted at the top of the robot body, the mounting mechanism comprises two groups of mounting racks, sliding grooves are formed in the two groups of mounting racks, and fixing plates are arranged at the bottoms of the two groups of mounting racks; a rotating groove is formed in the fixing plate, a two-way screw rod is installed in the rotating groove, the outer portion of the two-way screw rod is in threaded connection with two sets of moving blocks, a driving motor is installed at the other end of the two-way screw rod, and two sets of clamping mechanisms are arranged in the installing mechanism. When the device is used, detection devices of different sizes and sizes can be clamped more conveniently, the different detection devices can be installed in the installation mechanism, after detection is completed, rapid replacement can be conducted, and the efficiency of detecting a pile foundation at the bottom of a bridge underwater can be greatly improved.

The intelligent sensing and pressure self-adaption support pile system comprises a plurality of support pile bodies, a sensor network, a hydraulic servo adjusting system and an intelligent control unit. The support pile body is of a conventional foundation pit support pile structure, is prefabricated by reinforced concrete or is formed by cast-in-place, provides a basic support function and resists soil pressure; the sensor network is embedded into the support pile body and monitors the strain condition of each pile body in real time; the intelligent control unit calculates support parameters according to monitoring data of the sensor network and outputs a control instruction; and the hydraulic servo adjusting system automatically adjusts the contact pressure between the pile and the soil according to the control instruction. The system can monitor the stress state of a pile body in real time and automatically adjust supporting parameters through the hydraulic servo system, so that the safety and reliability of foundation pit engineering are remarkably improved.

The anchoring device comprises an anchor rod, a wire, a data processing mechanism and a stress sensor, the anchor rod is provided with a grouting channel and a grouting outlet which communicate with each other, and the grouting channel is used for guiding slurry to the grouting outlet; at least part of the wire is arranged in the grouting channel; the data processing mechanism is electrically connected with one end of the wire; the stress sensor is arranged on the outer wall of the anchor rod, and the end, away from the data processing mechanism, of the wire penetrates through the grouting outlet and is electrically connected with the stress sensor. Compared with the prior art, the anchoring device conveys slurry through the grouting channel and the grouting outlet so as to fill the space near the anchor rod, the anchoring effect of the anchor rod on the soil body is improved, meanwhile, the stress-strain characteristics of the soil body around the anchor rod can be monitored through the stress sensor, and the anchoring effect of the anchor rod on the soil body is improved. And the threat to the engineering safety caused by the loss of the supporting effect of the anchor rod is avoided.

The invention discloses a stiff composite pile structure for a fan foundation and a design method, a composite pile comprises an anti-corrosion outer core reinforcement body, an anti-corrosion inner core rigid pile and a pile end bearing mechanism, and the anti-corrosion outer core reinforcement body, the anti-corrosion inner core rigid pile and the pile end bearing mechanism are coaxially nested or fixedly connected to form a composite anti-corrosion and cooperative bearing structure; the design method covers the whole process of geological survey, parameter design, performance checking calculation and the like. The problems that under the plain complex geology, the pile body is poor in corrosion resistance, not matched in bearing capacity and large in construction difficulty are solved in a targeted mode, the beneficial effects of being long in corrosion resistance service life, high in cooperative bearing efficiency, high in adaptability and excellent in economical efficiency are achieved, and the long-term service requirement of a draught fan foundation can be met.