720 results about "Pile" patented technology

The invention discloses a material pile automatic extraction and volume measurement method and system based on three-dimensional point cloud, and belongs to the field of port and mine automation. Firstly, three-dimensional point cloud data of a material pile scene are obtained through scanning of a laser, data normalization processing is conducted, a slope crest area of a material pile is extracted based on the spatial direction curvature of point cloud, and positioning of the material pile is achieved. Regional growth is carried out by taking the slope crest regions of the material piles as seed points to extract the whole material piles, and a competitive growth strategy is provided to solve the problem of uncertainty of affiliation of overlapping regions of the material piles in the growth process due to the fact that different material piles in a scene may be in contact with each other. And finally, on the basis of the extracted material pile points, constructing a triangular network on the surface of the material pile to calculate the volume of the material pile. For various different scenes, the method provided by the invention has high robustness and accuracy.

The invention provides a visual test device for a damaged form of a pile-soil contact surface of a specially-shaped pile and a use method. The test device comprises a bearing platform, a model pile, a model tank, a water bath tank, a temperature control system, a laser source and a digital camera device, wherein the model pile is arranged as a full-scale specially-shaped pile and is arranged in the model tank; transparent soil is arranged on the periphery of the model pile; the model tank is arranged in the water bath tank; a rotating shaft hole is formed on the bottom of the model tank while a rotating shaft is arranged in the model tank; the rotating shaft is used for driving the model pile to generate vertical displacement or torsional displacement; the temperature control system is matched with the water bath tank and is used for adjusting the temperature of the pile-soil contact surface; and the laser source and the digital camera device are arranged on the upper side and side wall of the model tank. According to the visual test device provided by the invention, the visual observation for shear deformation of concave surface of the cross section of the specially-shaped pile can be realized; the shearing damage characteristics of different loading modes, different temperatures and different piles can be compared; the visual test device has significance in research on shearing of the contact surface of the full-scale model pile; the visual test device provided by the invention has the advantages of simple structure, convenience in operation, easiness in realization and lower cost.

A method and apparatus for estimating the load-bearing of a pile comprising (a) constructing a scaled-down model pile apparatus which has been reduced to a size that may be accommodated within an indoors facility according to a calculated scaled-down ratio; (b) subjecting said model pile apparatus to impact load tests to obtain dynamic measurements; and (c) correlating the dynamic measurements from said tests to said pile.

The invention discloses a charging pile fault prediction method based on an expandable lifting tree. The method mainly comprises two stages. The first stage comprises the following steps: firstly, fault characteristic state signals of each component of the charging pile and fault information of the charging pile are collected to a data analysis platform as model training sample data; the data analysis platform adopts an Xgboost algorithm to train a large number of sample data received, and obtains a fault prediction model of charging pile which achieves a certain degree of accuracy satisfaction. In the second stage, when the data analysis platform receives the state signal of the charging pile again, the trained Xgboost model will be used to judge the fault state of the charging pile. Themethod solves the fault prediction problem of the charging pile by using the artificial intelligence technology, has extremely high accuracy, can reduce the manual maintenance and repair cost of the charging pile, and saves a large amount of human and financial resources.

The invention relates to the field of geotechnical engineering, in particular to an evaluation processing method for entrainment superimposed settlement of pile groups. According to the method, by utilizing a solid deep foundation simplified calculation model, a calculation formula for stress fields of surrounding soil bodies of pile foundations is deduced, and from the analysis of the calculation of the settlement of the pile foundations to the calculation of the stress fields and displacement fields of the surrounding soil bodies of the pile foundations, the evaluation processing method for the entrainment settlement of the pile groups is formed, and meanwhile, the entrainment settlement calculation of a single pile group foundation can be expanded to the entrainment settlement calculation of multiple pile group foundations by using the method. The evaluation processing method for the entrainment superimposed settlement of the pile groups provided by the invention has the advantages that the stress fields of the surrounding soil bodies of equivalent pier foundations are completely deduced; a method of classical soil mechanics is introduced into the evaluation method for the entrainment settlement of the pile groups, and therefore, not only can the settlement of pile tips be evaluated, but also the entrainment superimposed influences of the pile group foundations on the surrounding soil bodies can be evaluated. The evaluation processing method for the entrainment superimposed settlement of the pile groups is clear in concept, simple in method and reliable in evaluation accuracy, and convenient for engineering application.

The invention provides a material taking controlling method of a coal yard pile material taking machine. The method comprises the steps that real-time spatial data of a coal yard is obtained; when material taking task information is received, a material taking initial position and a material taking completing position are determined according to the real-time spatial data, wherein the material task taking information comprises the material taking initial position and the material taking completing position; material taking is conducted by controlling the material taking arm according to the material taking initial position and the material taking completing position. The method has the advantages that the obtained real-time spatial data is used in real time in the material taking process to compute the initial and completing positions of material taking, material taking is conducted under controlling, the automatic material taking process is further achieved, the automation level can be improved to reduce the demands on labor, and the production efficiency is improved. The invention further provides the material taking controlling method of the coal yard pile material taking machine and related products which have the above advantages, and therefore the explanation of the method and the products in details is not needed in the prescription.

The invention discloses a method for measuring the non-uniform current distribution coefficient range of parallel multi-resistor piles, which has the main characteristics that all resistor piles in a measured nonlinear metal oxide resistor pile group are firstly combined and divided into a plurality of resistor pile groups; a pile with the maximum current value and a pile with the minimum current value in all the resistor pile groups are measured and selected; then, the two piles are measured together; and finally, the non-uniform current distribution coefficient range of the resistor pile groups is computed according to the current of the two piles. According to the method, the accurate measurement of the maximum non-uniform current distribution coefficient of the parallel multi-resistor piles is realized; and moreover, the measuring method is simple and has convenience in operation and reliable measuring data.

The invention relates to a pile arrangement method for friction pile groups and a computing method of composite-foundation bearing capacity thereof, and belongs to the application filed of bearing capacity of construction foundation and foundation reinforcement. Pile groups under one cushion cap are composed of an inner pile positioned at the center of the pile location and a plurality of outer piles around the inner pile, wherein the inner and outer piles are formed in the mode that solid preformed piles, tubular piles with closed lower ends, tube-sinking cast-in-situ piles and other driven piles are disposed with the methods of hammering, vibratory injection, pressfit and the like, and the inner and outer piles confirm the bearing capacity of pile group composite foundations by measuring various kinds of parameters. The pile arrangement method for friction pile groups and the computing method of composite-foundation bearing capacity thereof, have the advantages that as for the foundation with large areas of loose cohesionless soils, the composite foundation bearing capacity outside and inside the pile group structures is enhanced as much as possible within a local range, without a requirement of disposing the whole foundation soils, thereby lowering difficulties of construction, shortening construction periods and improving economical efficiency; by the means of squeezing effect of piles and hooping effects of the outer piles, the soils between piles are compacted tightly and the internal bearing capacity of the soils are fully exerted, thereby making the inner piles, soils between piles and outer piles work together as a whole.

The invention discloses a method for analyzing the development and change rule of the negative frictional resistance of an ultra-long pile foundation under the action of heaped loads. The method aimsat the condition of large-area stacking; the problem that a building is damaged due to negative frictional resistance caused by pile-soil settlement difference of an ultra-long pile foundation is studied. The calculation method comprises the following steps that by analyzing pile side soil body three-dimensional consolidation settlement, pile body compression deformation and pile end soil body settlement, a load transfer model considering side resistance softening is introduced, and according to the pile body displacement balance principle and based on a matrix transfer method, a super-long pile negative friction analysis model under the pile loading effect is established. Engineering examples are analyzed through a theoretical model and a numerical simulation method, meanwhile, comparisonverification is conducted on the engineering examples and corresponding actual measurement data, the development and change rule of the negative friction resistance of the super-long pile foundationunder the pile loading effect is obtained, and a theoretical basis is provided for super-long pile foundation bearing capacity design.

The invention discloses a monitoring device for offshore wind power single pile foundation piles, which includes a single pile and a monitoring device installed on the single pile. The monitoring device includes: a data acquisition device for collecting monitoring data and transmitting it to a land server The dynamic inclinometer is located at the pile top of the single pile and the top of the fan; the vibration accelerometer is located at the inner wall of the pile at the top of the single pile; the inclinometer is arranged in different places along the main wind direction The inner side of the tower tube or the pile foundation of the elevation; the earth pressure gauge and the piezometer are installed in a paired manner along the main wind direction at different elevations from the mud surface on the outer wall of the single pile. The device monitors the stress-strain characteristics of the steel pipe pile foundation, pile-soil circumferential resistance and pore water pressure, jacket steel acceleration, tower inclination, buckling deformation, and fracture, uneven foundation settlement, steel structure corrosion and other potential faults. And it can automatically warn when the above hidden dangers occur, so as to provide reliable technical support for safe operation.

The invention provides a method and a system for modeling a precast pile based on Dynamo and Excel. The method comprises the following steps: a pile family needed by a pile foundation model being created, statistics being conducted through Excel according to pile foundation construction drawing extraction information, and a pile foundation design parameter table being obtained; modeling by adopting Dynamo software and Revit software according to the pile family and the pile foundation design parameter table to obtain a pile foundation design model; and importing the actual construction data into the pile foundation design model in an Excel table form by adopting Dynamo software and Revit software to obtain a pile foundation construction model. According to the method, through a modular Dynamo program, operations in Revit are greatly reduced, a data-driven model is realized, and rapid establishment and modification of the model are facilitated; the pile foundation design model and the pile foundation construction model are respectively used as models and data of different stages of design and construction and are convenient to check and manage; modeling steps are simplified and fixed, the use threshold of bim is reduced, and popularization of BIM application is facilitated.

The application provides a material taking system and method. The system comprises a laser scanning device and a control unit. The control unit is arranged to execute the following steps: acquiring amaterial pile model; calculating the number of material layers in the region to be taken; dividing a material pile region into multi-layer regions to be taken; taking the region to be taken at the uppermost layer as a target region to be taken, and obtaining a material taking entry point of the target region to be taken; calculating target attitude data corresponding to the material taking entry point; controlling a material taking machine to move to a target position; controlling a big arm to rotate in a preset first direction; judging whether the position of a bucket wheel reaches the material taking boundary of the target region to be taken in real time; if so, controlling the big arm to reduce the rotating speed; controlling a large machine to move to the next material taking position;rotating the big arm in the second direction and continuing material taking operation. By adoption of the material taking system provided by the embodiment, automatic material taking operation can beachieved, and the problem on safety of personnel and equipment brought by the existing manual material taking machine is solved.

The invention discloses a system for detecting the pile body integrity based on a low-coherence interferometry. The system is characterized by comprising a low-coherence interferometer sensing system and a pile body, wherein the low-coherence interferometer sensing system is provided with a signal arm; the signal arm is provided with a sensor assembly; a preformed hole and a packaged signal arm for measuring strain variation are arranged in the pile body; and the packaged signal arm and the signal arm are arranged in the preformed hole. The pile body integrity is detected through placing a low-coherence interference-type sensor into the preformed hole of the pile body based on the low-coherence interferometry, so that the system is high in accuracy, good in stability, not susceptible to interference and wide in application range, and the maintenance cost is reduced.

The invention discloses a method for detecting pile foundation post-grouting quality based on a multi-point ejection type sensor measuring technique. The method includes the steps that firstly, sensors are installed, wherein the sensors with hydraulic cylinders or pneumatic cylinders are fixed to main ribs of a steel reinforcement cage and the signal acquisition input ends of an external acquisition instrument are connected with the output ends of the sensors; and the sensors are arranged upwards along the bottom of the steel reinforcement cage; secondly, the steel reinforcement cage is fixedly installed in a pre-dug pile hole of a filling pile; thirdly, after the steel reinforcement cage is put in place, the sensors are ejected out through the hydraulic cylinders or the pneumatic cylinders, and the ejected sensors make contact with the hole wall of the filling pile; fourthly, concrete is poured into the pile hole of the filling pile; fifthly, the acquisition instrument is used for reading numerical values detected by the sensors at various depths before grouting is performed; sixthly, grouting is performed; and seventhly, after grouting is finished, the acquisition instrument is used for reading numerical values detected by the sensors at various depths after grouting is performed; and through comparison of the numerical values before and after grouting is performed, the distribution state of grout in soil beside the pile can be obtained.

The invention discloses a method for analyzing the influence of shallow-buried and underground-excavated tunnel pipe curtain reinforcement on the ground and a pile foundation, and the method comprisesthe following steps: firstly building a construction model and a construction stage under the pipe curtain reinforcement through finite element software for a to-be-constructed shallow-buried and underground-excavated tunnel project; analyzing and calculating a finite element result for the construction stage to obtain a ground subsidence and pile foundation displacement simulation value under shallow-buried and underground-excavated tunnel pipe curtain reinforcement; calculating and analyzing the influence of tunnel construction on ground subsidence during pipe-roofing-free reinforcement andthe influence of tunnel construction on the pile foundation under the advanced small guide pipe pre-reinforcement scheme to obtain corresponding simulation values, and finally obtaining correspondingpile foundation subsidence and deformation trends in combination with the ground subsidence and pile foundation displacement simulation values under pipe-roofing-free reinforcement. According to theinvention, the ground subsidence value and the pile foundation displacement value caused by construction of the tunnel under pipe roofing reinforcement can be accurately obtained, and meanwhile the maximum subsidence and deformation position can be visually observed.

The invention discloses an intelligent contract execution method supporting a trusted execution environment, and the method comprises the steps that a blockchain consensus node monitors and collects atransaction request, and obtains an intelligent contract deployed in a blockchain, the intelligent contract comprises a common execution code and a trusted execution code, and the common execution code in the intelligent contract is executed by an intelligent contract virtual machine; wherein the trusted execution code is loaded in the trusted execution environment to complete execution, a trusted pile program and a signature private key matched with the trusted pile program are deployed in the trusted execution environment, the security of the pile program is ensured by a remote authentication mechanism, and the pile program loads the trusted execution code in the intelligent contract and completes integrity check of the trusted execution code; and signing the execution result and the code integrity. According to the method, the secure smart contract code can be executed in the blockchain environment, the contract code can include a common code and a trusted execution code, the common execution code can be executed efficiently, the trusted execution code can be executed securely, and the execution process is secure and verifiable.

The invention discloses a method for determining pile foundation bearing capacity after pile slipping. According to the method, the influences of pile slipping on bearing capacity are taken into consideration, unit side friction is determined in three areas, and CPT in-situ test indexes and related construction data serve as the foundation of calculation. According to the method, the influences of pile slipping on a soil body are taken into consideration, different calculation methods are adopted for the influences of pile slipping on pile foundation bearing capacity, reliable foundation is provided for detecting whether the pile foundation bearing capacity meets the requirement for the load of the upper portion or not after pile slipping, and it can be ensured that the pile foundation upper structure is safe and stable. The method is high in reliability, low in cost and short in cycle, and labor, material and time are greatly saved. The method has the outstanding advantages for oceanographic engineering. The method conforms to the engineering practice and is simple and clear, calculation is easy, related parameters can be easily determined and are reliable, and the calculation result is made more accurate.

The invention discloses a method for simulating a discrete element muck pile form. The method comprises the steps of step 1, respectively giving a bulk modulus and a shear modulus of an integrated rock mass to normal lumpiness and shear lumpiness of an artificial joint; step 2, forecasting forecasted blasting lumpiness of all points in positions which are away from the center of a blast hole in different distances by adopting a Harries blasting model aiming at an integrated rock mass model; step 3, zoning the integrated rock mass model, and taking an average value of the forecasted blasting lumpiness of all points in all zones as preset lumpiness of discrete blocks in the all zones; step 4, setting the artificial joint according to the preset lumpiness of the discrete blocks in the all zones, setting the artificial joint in an oblique and orthogonal way, and dispersing the integrated rock mass model by adopting a discrete element method; step 5, carrying out muck pile form simulation on the dispersed integrated rock mass model by adopting the discrete element method. The method disclosed by the invention has the advantages that the operation is simple, the efficiency and the accuracy of muck pile form simulation can be obviously increased, the discrete element muck pile form is more accordant with engineering practice, and the application prospect is wide.

The invention discloses a self-balancing type multi-loading-path one-way shearing box for a pile-soil test and belongs to the technical field of geotechnical engineering tests. A loading part of the device can change positions to apply static or quasi-static loads such as pulling, pressing and pushing under different loading paths, soil stress diffusion and attenuation can be simulated through a semi-shearing device, and the influence of boundary conditions is reduced so as to achieve the purpose of reducing the size of the model. The device is composed of a reaction frame, a loading device, an angle steel model box and the semi-shearing device. The model box is used for bearing piles and soil and is a main place for pile-soil interaction. The one-way shearing device realizes the one-way shearing of a soil body, unifies experimental boundary conditions and actual boundary conditions, reduces the size of the model while improving the test reliability, and reduces financial and materialresource consumption. The reaction frame and the loading device are used for applying loads, multiple combination modes are achieved, the loading position and angle can be adjusted, and the multi-pathloading can be achieved.

The present disclosure provides an optimal design method and system for slope reinforcement with anti-slide piles. The method includes: modeling a slope type to obtain a three-dimensional (3D) slope numerical calculation model; establishing different numerical calculation models for anti-slide piles according to different reinforcement schemes of the anti-slide piles; determining optimization indexes through a coupling analysis of the 3D slope numerical calculation model and the anti-slide pile numerical calculation model; calculating a comprehensive optimization value according to the optimization index; determining an optimal anti-slide pile reinforcement scheme according to the comprehensive optimization value, and determining whether the optimal anti-slide pile reinforcement scheme meets the optimization objective; and carrying out slope reinforcement according to the optimal anti-slide pile reinforcement scheme if yes. The present disclosure establishes a multi-objective comprehensive optimization model including an optimization index system and comprehensive weights of optimization indexes.

The invention provides a charging pile fault identification method, a storage medium, a charging pile and electronic equipment. The charging pile fault identification method comprises the steps of: acquiring a receiving moment of communication data at this time, wherein the communication data is transmitted by means of a to-be-identified charging pile; and taking the receiving moment as a startingpoint, and determining that the to-be-identified charging pile has an offline fault point if new communication data is not received within a preset first time threshold. By adopting the charging pilefault identification method, whether the charging pile has the offline fault point or not can be automatically identified, the offline fault of the charging pile can be found and prevented in time, and the comprehensiveness and precision of charging pile fault identification can be improved.

The invention discloses a pile foundation dynamic stability analysis and calculation method under the action of a wave load, which comprises the following steps: sorting to obtain a Mathieu equation in a non-homogeneous form, and solving to obtain a critical frequency and an unstable load of parameter resonance; verifying the correctness of theoretical derivation by comparing an analytical solution with a calculation result of finite element simulation. Calculation result analysis shows that the pile top load P0 and the pile body water entry depth have great influence on the instability load,but the instability load is also influenced by the resonance frequency; the influence of the pile side soil body resistance coefficient m on the parameter resonance frequency is maximum, the instability frequency of parameter resonance is rapidly increased along with the increase of m, the stability of the pile body can be effectively improved, and the relative influence of the pile body mass M and the soil body shearing rigidity G on the instability frequency of the pile body is small and cannot be ignored; influences of factors such as pile diameter, wavelength and wave height on amplitude are different and can be adjusted according to specific engineering practice, so that the stability of a pile body is improved.

The invention discloses a pile foundation integrity classification and recognition method based on a convolutional neural network. The method comprises the steps: detecting a pile foundation through low-strain collection equipment, and attaching class labels to the pile foundation to construct a standby data set; scaling and normalization preprocessing are carried out on the images in the data set; performing data expansion on the preprocessed data set; dividing into a training set and a test set according to a preset proportion; inputting the training set into the constructed model for classification training, and optimizing related parameters until a globally optimal solution is obtained to obtain a required convolutional neural network model; and inputting the test set into the convolutional neural network model for verification, outputting an recognition result and performing evaluation. According to the invention, the feature extraction capability of the convolutional neural network is utilized to identify the low-strain wave pattern image, so that the problems of high cost and high subjectivity of manual analysis and detection are solved; meanwhile, the calculation capabilitybased on the neural network has relatively high practicability, and has huge practical significance and value for pile foundation integrity detection.