768results about How to "Reduce rework" patented technology

The invention relates to the technical field of engineering project management, in particular to an engineering project construction quality management method and system, and the method comprises the following steps: extracting multiple items of design information of a target building based on project construction drawing information, and simulating and analyzing the stress distribution of a building structure under multiple loads through building a building information model. And evaluating the stability of the target building design, identifying and marking design defects, and obtaining a simulation analysis result. According to the method, by extracting the design information, constructing the building information model, evaluating the stability of building design, recognizing the design problem in the early stage, calculating the actual solidification rate of concrete and detecting the concrete quality, reworking and overhigh cost caused by the concrete quality problem are reduced, and defects in prefabricated parts are detected through ultrasonic waves; the construction safety and quality are improved, the construction deviation is quantified through measurement of an actual construction image and comparative analysis of the actual construction image and a design drawing, and efficient management of the construction quality of a target project is achieved.

The invention discloses a conflict detection processing method and system based on a BIM model, a medium and a product, and relates to the technical field of constructional engineering, and the method comprises the steps: obtaining a construction project design scheme; based on a preset model framework, determining a BIM model according to the construction project design scheme; predicting potential conflict points in the BIM model based on a preset conflict mode library; matching the potential conflict points with the building structure, the electromechanical pipeline and the equipment layout by using a space mapping algorithm, and determining possible conflict areas; on the basis of a natural language processing technology, operable solution suggestions are generated according to the possible conflict areas; after the operable solution suggestions are sent to the user, the solution suggestions determined by the user are received; and adjusting the BIM model based on the solution suggestion. By implementing the method, the accuracy and intelligence of conflict detection can be improved.

A hydraulic engineering video monitoring intelligent stationing optimization design method based on a three-dimensional model realizes video monitoring intelligent stationing planning design based on a mode of combined development of a three-dimensional modeling platform and a BIM lightweight engine. The method comprises five stages of camera adaptive arrangement, monitoring area three-dimensional visualization, monitoring coverage check, design optimization and design result display output. According to the method, the overall planning of the video monitoring intelligent stationing of the water conservancy and hydropower engineering is enhanced, the advantages and disadvantages of the video monitoring stationing are scientifically and quantitatively evaluated, and a quantifiable video monitoring intelligent stationing planning scheme is provided. According to the method, the requirements of the current video monitoring distribution point and the monitoring coverage rate are combined, a monitoring model optimization algorithm is utilized, the monitoring coverage rate or the camera configuration is taken as an optimization target, the monitoring coverage rate is improved, the monitoring blind area range is reduced, monitoring redundancy setting is avoided, and the monitoring camera configuration is optimized.

The invention discloses a multi-source modal data fusion-oriented charging pile fault diagnosis method and system. The method comprises the following steps of: acquiring message stream data, audio data and infrared sensing data associated with a charging equipment fault through a sensor system; and based on the characteristics of each modal data, fault characterization and identification are carried out by adopting a random forest, a convolutional neural network and a YOLO-v8 target detection model. According to the marked fault data, a mapping relation among multi-source data is established, and a Dempster-Shafer multi-source fusion theory is utilized to aggregate a multi-modal fault judgment result, so that the equipment fault is accurately diagnosed. According to the method, the accuracy of fault diagnosis and diversified presentation of fault types are effectively improved, the repair rate is reduced, and the method has a good engineering application prospect.

The embodiment of the invention discloses a database migration method and device for a heterogeneous database and a medium, and relates to the technical field of database migration, the method comprises the steps that database migration demand information is acquired, and the database migration demand information comprises current service information, target migration database information and source database information; automatically migrating the data table structure and the business data according to the database migration demand information, extracting SQL statements based on the source database information, and determining a plurality of original SQL statements of the source database; based on the target migration database information, determining current statement rule information, performing rule matching check on the original SQL statement according to the current statement rule information, determining a plurality of risk SQL statements, and generating a migration compatibility evaluation set; and generating a migration compatibility optimization reference file through the migration compatibility evaluation set, and realizing database migration of the source database and the target migration database based on the migration compatibility optimization reference file.

The invention discloses a light guide plate film covering method, device and equipment, and the method comprises the steps: responding to the detected size, material and surface condition of a light guide plate, and judging whether the light guide plate meets a film covering standard or not; commanding the robot to grab the membrane material, accurately positioning the alignment operation of the light guide plate and the membrane material through a visual guidance system, and adjusting the fitting position; controlling the membrane material to be preliminarily attached to the light guide plate, and adjusting pressure and adsorption force in real time according to material characteristics; analyzing data of the visual detection system, commanding the intelligent fluid dynamics control device to process bubbles or wrinkles, and meanwhile, re-scanning the processed area to ensure that the defoaming effect is qualified; and controlling the curing time, the curing temperature or the UV light intensity according to the used curing mode. According to the technical scheme, the laminating quality is improved, and bubbles and flaws are reduced.

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

The invention discloses an automobile body welding seam detection method and system based on machine vision, and particularly relates to the technical field of welding seam detection. The method comprises the following steps: capturing a welding seam image in real time through a high-definition camera, positioning a welding seam by using a template matching algorithm, calculating the width of the welding seam by using a dynamic window scanning technology, identifying a complex form area, extracting curvature change and surface roughness characteristics of the welding seam, and evaluating the adaptability of the algorithm to the complex form; classification processing is carried out according to the adaptability level, and the system automatically judges that a high-adaptability-level area is qualified; generating early warning and storing data in the low-adaptation-level region; the accuracy of a general adaptation level area is improved through a dynamic optimization algorithm, the detection precision is effectively improved, reworking and missing detection are reduced, and the adaptability of the system to various welding seam forms is improved.

The invention relates to an intelligent earth-rock filling and digging balance optimization method and system for a water conservancy project. According to the method, firstly, a laser scanner, unmanned aerial vehicle aerial survey equipment and a GPS positioning device are used for carrying out data collection on a construction site, and detailed topographic data and earth-rock distribution information are obtained; subsequently, construction requirements related to the hydraulic engineering are determined, including construction progress, construction sequence, resource availability, environmental limitation, and cost control. And based on the collected data and set construction requirements, a genetic algorithm is used for optimization, and an optimal earth-rock filling and digging balance scheme is generated. The optimization scheme covers a construction route, an equipment scheduling plan and a resource allocation scheme. And finally, hydraulic engineering construction is guided according to the optimization scheme, and efficient balanced filling and excavation of the earthwork are achieved. The construction efficiency is effectively improved, the cost is reduced, reasonable utilization of resources is ensured, and the method is suitable for various complex hydraulic engineering projects.

The invention, which relates to the technical field of production line management, discloses an integrated management system applied to a magnetic ring production line, comprising a data acquisition module, a production progress monitoring module, a quality detection module, an equipment management module and an inventory management module. The data acquisition module is used for acquiring various data in the production process in real time by installing various sensors on a production line, such as raw material consumption, production equipment operation parameters, product size, weight and the like; according to the system, comprehensive automation and intelligent monitoring of the production process are realized, the production management efficiency is remarkably improved through implementation of the system, through real-time data acquisition and analysis, the accuracy and timeliness of production decision making are ensured, resource allocation is optimized, raw material and energy consumption is reduced, meanwhile, the inventory level is dynamically adjusted, and the production efficiency is improved. Fund occupation and inventory overstock are reduced, and effective control of cost is realized.

The invention relates to the technical field of data processing, and discloses a BIM-driven steel structure collaborative design method, device and equipment. The method comprises the steps of performing parameterization processing on building information data to obtain intelligent BIM data; performing multidisciplinary data exchange processing on the intelligent BIM data to obtain collaborative design data; performing intelligent structure analysis processing on structure information in the collaborative design data to obtain optimized structure data; performing adaptive component design processing on the optimized structure data to obtain customized component data; performing virtual construction simulation processing on the customized component data to obtain construction optimization data; intelligent operation and maintenance processing is carried out on the construction optimization data and the actual construction data, full-life-cycle management data are obtained, and the full-life-cycle management data comprise real-time monitoring data, performance evaluation results and predictive maintenance suggestions. The efficiency and accuracy of steel structure collaborative design based on BIM driving are improved.

The invention relates to the technical field of armoring machines, and provides a cable copper strip armoring machine which is used for winding a copper strip on a moving core wire to form an armoring wire, a first sleeve is provided with a first hole channel, two ends of the first hole channel are respectively a bare wire inlet and an armoring wire outlet, and the core wire enters the first hole channel through the bare wire inlet and enters the armoring wire outlet through the armoring wire outlet. The armored wire moves out of the first hole channel through the armored wire outlet, the first sleeve is further provided with a first belt inlet, and a copper belt enters the first hole channel through the first belt inlet. The first compression roller is rotationally arranged on the first sleeve and is in rolling butt joint with the surface of the armored wire; the two second pressing rollers are rotationally arranged in the first belt inlet and abut against the surface of the armored wire in a rolling mode. According to the technical scheme, the problems of winding path deviation, winding clearance, loosening after winding, insufficient compactness and the like in the copper strip armoring process caused by deformation of a certain degree due to the fact that the cable and the copper strip are possibly subjected to various external forces in the production, transportation and installation processes in the prior art are solved.

The invention discloses an ellipsoid curved glass curtain wall installation method based on BIM cooperative positioning. The ellipsoid curved glass curtain wall installation method comprises the five steps of building a BIM model, determining control points, conducting field measurement and positioning, installing curtain wall units and conducting cooperative positioning adjustment. Ellipsoid parameters and glass unit sizes are determined through a BI model, key control points are selected, field measurement is carried out, actual and theoretical coordinates are compared, installation is started from the center of the bottom, the position is monitored and adjusted in real time, and precision is ensured. According to the method, efficient and accurate installation of the ellipsoid curved glass curtain wall can be achieved, and the construction efficiency and the engineering quality are improved.

The utility model discloses a notebook A piece trademark and mylar press fit jig. The notebook A piece trademark and mylar press fit jig comprises an upper die assembly and a lower die assembly which is matched with the upper die assembly and arranged below the upper die assembly. The upper die assembly comprises an upper die plate, a first pressing head detachably connected to the lower end of the upper die plate and a plurality of second pressing heads detachably connected with the lower end of the upper die plate. The lower die assembly comprises a lower die base, a plurality of supporting plates and a plurality of limiting mechanisms, wherein one of the supporting plates can be detachably connected with the upper end of the lower die base, the limiting mechanisms are arranged at the upper end of the lower die base at intervals and can surround the supporting plates so as to be used for limiting the position of the part A, and the supporting plates are matched with the part A in shape so as to be used for supporting the part A; after the upper die assembly and the lower die assembly are pressed, the first pressing head is used for pressing the mylar at the position of the antenna, the second pressing head is used for pressing the trademark at the logo position of the piece A, the trademark of the piece A and the mylar can be pressed at the same time, manpower and working procedures are saved, and the working efficiency is improved.

The invention discloses a method for automatically testing an interface based on RPA. The method comprises the following steps: making a test plan; building a test framework; compiling a test script; performing integrated testing; executing the test script; analyzing a test result; and maintaining the test script. Based on an RPA tool, through a graphical interface and predefined operation, a tester can create an automatic test script without writing any code, and the tester can define a complex test process only through simple dragging, clicking and configuration; an RPA tool is generally designed to be visual and easy to use, even a tester without any programming experience can quickly master the RPA tool, and the tester can master the basic skill of automatic testing through simple training and practice; the RPA has a unique verification mode for the login system needing to be verified, targeted system verification can be carried out, and the login interface can obtain the token conveniently.

The invention discloses an impact type rotating wheel welding structure based on robot welding and a using method of the impact type rotating wheel welding structure, and relates to the technical field of production and manufacturing of impact type rotating wheels, in particular to the impact type rotating wheel welding structure based on robot welding and the using method of the impact type rotating wheel welding structure. The root water buckets are arranged on the rotating wheel center body, and the external water buckets are arranged on the root water buckets; a butt welding groove is formed in the connecting face of the external water bucket and the root water bucket, and the welding groove is arranged to be a multi-section linear groove. The method has the advantages that the gradual change positions are designed into a plurality of fixed-angle positions, and the robot is adopted for multi-layer and multi-pass welding. A complex space gradient welding position is optimized into a plurality of fixed-angle welding positions, and parameter self-adaption in the robot welding process is simplified, so that robot welding is achieved, the welding quality of the impact type rotating wheel is guaranteed, and the cavitation erosion resistance of the rotating wheel is improved.

The invention relates to the technical field of perforating machines, in particular to a full-automatic double-head perforating machine which comprises a supporting frame, a workbench is fixedly connected to the top of the supporting frame, sliding rails are fixedly connected to the two sides of the top of the workbench, sliding blocks are slidably connected to the tops of the sliding rails, and bearing plates are fixedly connected to the tops of the sliding blocks. Opposite punching motors are fixedly connected to the tops of the bearing plates correspondingly, punching heads are fixedly connected to the output ends of the punching motors, first electric telescopic rods are fixedly connected to the side wall of the workbench, the output ends of the first electric telescopic rods are fixedly connected to the side walls of the bearing plates, and a punching table is fixedly connected to the middle of the top of the workbench. The top of the workbench is fixedly connected with a supporting table, and the top of the supporting table is fixedly connected with a second electric telescopic rod. Compared with the prior art, the automatic bar placing and taking-out device effectively and automatically places and takes out bars, tedious operation of manual intervention is avoided, and the production efficiency is remarkably improved.

The invention discloses a tool blade grinding completion condition detection system based on deep learning, and relates to an intelligent detection technology, the tool blade grinding completion condition detection system comprises an image acquisition module which at least comprises a tool blade camera device, an automatic clamp device, an image preprocessing device and an image marking device; the database module is mainly used for storing the detection information, the grinding completion information and the abnormal information of the detected cutting edge of the cutter; the feature learning module is used for training and recognizing a grinding completion state and an abnormal condition; the detection module is used for detecting whether the cutting edge of the cutter is in a completely-ground state or abnormal conditions; a background module; a management device module; and a user terminal module. The method has the advantages that the complete grinding state of the cutting edge of the cutter can be monitored in real time, the problem of excessive complete grinding or insufficient complete grinding can be intelligently recognized, and through a novel network structure, an attention mechanism is added, so that the extraction capability of complete grinding features of the cutter is improved.

The invention discloses a Gsensor automatic test method aiming at IC environment deviation, and relates to the technical field of inertial sensors, the method comprises the following steps: S1, placing a Gsensor in a constant acceleration field, recording output data under different power supply voltages, S2, establishing a correction model between the power supply voltages and sensor output based on the recorded output data, and S3, carrying out Gsensor automatic test according to the correction model. S3, the power supply voltage is adjusted according to the correction model, so that Gsensor output is kept stable under different power supply voltages, and S4, power supply voltage fluctuation is monitored and compensated in real time, and the accuracy of a measurement result is ensured. According to the Gsensor automatic test method for the IC environment deviation, measurement errors caused by power supply fluctuation are remarkably reduced, the stability of Gsensor output signals is improved, the test result is more accurate and reliable, and the problem of how to compensate sensor output fluctuation caused by different power supply voltages so as to solve the measurement errors caused by poor power supply stability is solved.

The invention relates to an intelligent roadbed rammed earth water content detection method based on machine vision. The method comprises the following steps: step 1, acquiring sample data and performing data preprocessing; 2, training a plurality of machine learning models for the data set; 3, performing comprehensive analysis and evaluation on the fitting condition of the model prediction result by adopting a plurality of model evaluation indexes; 4, selecting the model with the best fitting effect as a final prediction model and optimizing the model; and 5, detecting the rammed earth image by adopting the final prediction model, and efficiently and accurately predicting the water content of the soil. According to the technical scheme, the water content of the rammed earth is rapidly and accurately detected by adopting an image recognition technology. In addition, the method further has good environmental adaptability and real-time monitoring capacity, and the quality and efficiency of roadbed construction can be effectively improved.

The invention provides a BIM (Building Information Modeling)-based frame anchor rod or anchor cable forward design method and system. The method comprises the following steps: creating a slope BIM model; determining slope protection engineering design parameters according to project geological survey data and specification requirements; according to the slope protection engineering design parameters, inversely calculating a slope safety coefficient design value of each level, and carrying out normative analysis on the slope safety coefficient design value and a safety coefficient standard value in the design specifications; parameters of frame beams, steps and other ancillary facilities of each stage of slope are obtained, and a frame anchor rod or anchor cable design model of each stage of slope is created based on the slope BIM model; based on the BIM collaborative design management platform, multi-specialty examination is conducted on the frame anchor rod or anchor cable model, whether the model conflicts with other specialty models or not is checked, and model review, structural analysis and model optimization are conducted; according to the method, standardized, parameterized, refined and collaborative anchor rod or anchor cable modeling is realized based on the BIM technology, and the modeling efficiency and precision are improved.

The invention relates to an extra-high voltage GIL / GIS in-situ detection track deformation offset correction method, a circular track is provided with a radiation source and a detector, the center of the circular track is provided with an objective table, the objective table is provided with a coordinate calibration die body, and the coordinate calibration die body comprises a cylindrical body and two metal balls embedded in the cylindrical body; the objective table is rotated by a circle, or the radiation source and the detector are rotated by a circle along the circular orbit, images formed by multiple frames of coordinate calibration die bodies on the detector are collected in the rotation process, and projection coordinates of the two metal balls in each frame of image are obtained; the physical site corresponding to each frame of image is independently corrected, so that the influence of track deformation on the image reconstruction quality is solved, the accuracy of CT image reconstruction is improved, the system can adapt to various non-standard circular tracks, and the adaptability and flexibility of the system in different application environments are improved; and reworking or re-detection requirements caused by inaccurate geometric calibration are reduced, so that the overall detection cost is reduced.

The invention provides a virtual reality urban environment design system based on an AR technology, and relates to the technical field of urban planning design, and the system comprises a data collection module, a modeling module, a rendering module, an interaction module, a display module, a physical simulation module and a real-time updating module. The system provides a visual and immersive design environment for city planners. Through high-precision data acquisition and vivid modeling rendering, a plan can clearly observe details and overall layout of a city. And the real-time updating module ensures that the planner obtains the latest city change information and adjusts the planning scheme in time. The optimization module ensures smooth operation of the system and improves the working efficiency. The physical simulation module can predict the effects of different planning schemes under the influence of various natural and human factors, so that the schemes are optimized, the scientificity and feasibility of urban planning are improved, and planning errors and resource waste are reduced.

The invention provides a preparation method of an optical fiber core layer, an optical fiber comprises a deposition tube, a head tube and a tail tube, and the preparation method comprises the following steps: respectively fixing the head tube and the tail tube at two ends of a deposition lathe through a clamp; a deposition pipe is placed between the head pipe and the tail pipe, a concentric part is placed at the position corresponding to the deposition pipe, and the head pipe, the deposition pipe and the tail pipe are arranged along the same axis through the concentric part; at least one of the opposite ends of the head pipe and the deposition pipe is heated, so that the head pipe and the deposition pipe are welded; at least one of the opposite ends of the tail pipe and the deposition pipe is heated, so that the tail pipe and the deposition pipe are welded; and after the head pipe, the deposition pipe and the tail pipe are welded, a core layer is formed on the head pipe, the deposition pipe and the tail pipe. The concentric parts are arranged in the deposition pipe welding process, so that the deposition pipe, the head pipe and the tail pipe can be kept concentric after being welded, a core layer is deposited uniformly, and the quality of the optical fiber preform is improved.

The invention relates to the technical field of injection molding monitoring, and discloses a multicolor injection molding machine turntable position deviation real-time monitoring method and system, and the method comprises the steps: obtaining turntable design parameters, constructing a three-dimensional digital model, and dividing a fan-shaped monitoring region; acquiring no-load motion data to generate a no-load motion feature vector; collecting real-time motion data to generate a real-time motion feature vector; comparing the real-time feature vector with the no-load feature vector to judge whether position deviation occurs or not; if deviation occurs, a diagnosis process is triggered; through multi-dimensional data fusion analysis, real-time accurate monitoring and fault diagnosis of the position deviation of the turntable are realized, and the production quality and efficiency of the multi-color injection molding machine are remarkably improved.

The invention relates to a photovoltaic support foundation pouring device, which solves the problems that the positioning is inaccurate and a plurality of workers are required to cooperate to complete the pouring when a photovoltaic support foundation is poured, and comprises a left frame and a right frame, the left frame and the right frame are connected through an upper cross rod and a lower cross rod, and the left frame and the right frame are provided with positioning racks in a sliding manner; the positioning rack is engaged with a positioning gear, and a wire clamping groove is fixed to the upper end of the positioning rack. An adjusting frame is slidably mounted on the left frame and the right frame, a bidirectional lead screw is mounted in the adjusting frame and is in threaded connection with an upper clamping plate, an adjusting sleeve is fixed to the adjusting frame, and an embedded groove is formed in the adjusting sleeve; an adjusting screw rod penetrates through the adjusting sleeve in a threaded mode, a second hand wheel is fixed to one end of the adjusting screw rod, and a pulling plate is fixed to the other end of the adjusting screw rod; according to the ground pile steel pipe and pouring hole positioning device, the positioning accuracy of the levelness, perpendicularity and concentricity of a ground pile steel pipe and a pouring hole can be improved, and three workers do not need to cooperate with each other.

The invention relates to a display screen defect detection method based on machine vision, and the method comprises the following steps: obtaining an order area of a to-be-detected display, matching and determining a detection correction item, and correcting a defect detection standard of the to-be-detected display; collecting a five-color picture set of the to-be-detected display; preprocessing the five-color picture set to obtain a five-color picture set to be detected; and performing defect detection on the to-be-detected five-color picture set through a preset visual detection model based on the corrected defect detection standard, and outputting a defect detection result. The method has the effect of effectively improving the detection efficiency and the detection precision.

The invention discloses a welding method for a tower drum and a foundation ring of a wind generating set. Comprising the following steps: a welding preparation stage: carefully selecting and treating materials, strictly debugging equipment and carefully preparing weldments; in the welding implementation stage, an argon-rich mixed gas shielded welding method is determined, welding process parameters are optimized, and the welding processes of a single-section longitudinal seam and a flange, two small-section assembly, large-section assembly length, an inner circular seam and an outer circular seam are accurately controlled; in the welding quality control stage, welding parameters are monitored and adjusted in real time, and appearance inspection after welding, RT ray inspection, mechanical property testing and metallographic testing are strictly conducted; and the production practice and optimization stage is applied to actual production, problems are tracked and solved, and the process is continuously optimized to improve the quality. The method effectively improves the welding quality and the production efficiency, enhances the structural stability, reduces the cost and promotes the development of the wind power industry.

The invention discloses a sand blasting precision detection method for a wearable watch bottom shell, and relates to the field of sand blasting precision detection for bottom shells, and the method comprises the following steps: carrying out the judgment of a window mutual information value, a pixel point gradient vector, a pixel convex state, a pixel concave state and a sand blasting texture of a visual image, and obtaining a bottom shell sand blasting visual evaluation value; analyzing the visual evaluation value of the bottom shell sand blasting to obtain a visual evaluation set H of the bottom shell sand blasting, performing depth analysis on the bottom shell sand blasting according to the surface physical characteristics, the particle distribution characteristics, the mechanical state, the material performance parameters and the surface optical performance of the bottom shell sand blasting to obtain a deep residual corrosion value of the bottom shell sand blasting, and analyzing the deep residual corrosion value of the bottom shell sand blasting to obtain a deep residual corrosion value of the bottom shell sand blasting. And a bottom shell sand blasting depth evaluation set W is obtained, union processing is carried out on the set H and the set W, warehousing operation and label display corresponding to all levels of comprehensive evaluation signals are obtained through analysis, sand blasting precision judgment can be carried out on the watch bottom shell from multiple dimensions, the sand blasting process can be adjusted in time, and the production cost of an enterprise is reduced.

The invention discloses a soft soil foundation steel cylinder soil retaining structure displacement prediction system, which comprises a data acquisition module arranged around a steel cylinder soil retaining structure and used for monitoring construction data in real time; the data primary processing module is used for carrying out primary processing on the collected data; the data processing and analyzing module is used for performing data analysis and processing through an MSD method and calculating mobilization shear strength; the displacement prediction module is used for establishing a stress-strain relation model of the soil body according to the mobilization shear strength and predicting the displacement of the steel cylinder soil retaining structure; and the feedback adjustment module is used for providing construction adjustment suggestions according to the prediction result, dynamically adjusting construction parameters and optimizing the stress-strain relation model of the soil body. The invention further discloses a displacement prediction method for the steel cylinder soil retaining structure of the soft soil foundation. The displacement change of the retaining structure in the whole engineering period is accurately predicted, and the risk of structural instability is effectively prevented.