226 results about "System transformation" patented technology

The invention discloses a vehicle-mounted Beidou positioning deviation self-calibration system fused with inertial navigation information, and relates to the technical field of navigation and positioning. The method is used for solving the problems of positioning deviation accumulation and signal failure in a complex environment. The system realizes space-time alignment of inertial navigation and Beidou observation data through timestamp interpolation and coordinate system conversion, and constructs a multi-source synchronous data stream. A difference value between an inertial navigation calculation speed and a Beidou Doppler speed is analyzed based on a vehicle incomplete constraint model, and a weight factor is generated in combination with a confidence threshold to suppress abnormal observation. A geometric matching error is calculated through a high-precision lane map curvature and a vehicle steering angle, and candidate tracks are screened to generate transverse calibration parameters. The noise covariance is dynamically adjusted through a tight coupling filtering algorithm, the mode is switched to a lane constraint calibration mode when a Beidou signal is interrupted, inertial navigation errors are compensated through error boundary constraint, and stable output is achieved. Multi-source data deep fusion and adaptive robust calibration are realized, and system robustness and positioning continuity are improved.

The invention discloses a robot joint control method and system based on motion capture equipment, and belongs to the technical field of robot control. An existing robot joint control scheme lacks an effective man-machine cooperation and natural interaction mechanism, so that the flexibility of a robot is poor, and the intention of an operator cannot be naturally expressed. According to the robot joint control method based on the motion capture equipment, by constructing a motion capture module, a data processing module, a coordinate system transformation module and a solution optimization module, rotating posture data, collected by the motion capture equipment, of human body joints are converted into target joint control information needed by execution of a robot; the robot joint control based on the motion capture equipment is realized, so that the human motion can be efficiently and accurately mapped to the robot, the robot is good in flexibility, sudden motion or complex cooperative operation can be effectively processed, the intention of an operator can be naturally expressed, and man-machine cooperation and natural interaction are realized.

The invention discloses an interferometer error calibration method and device and a computer readable storage medium, and belongs to the technical field of measurement equipment.The method comprises the steps that measurement data collected when an interferometer moves on the x / y axis of a motion table is obtained, and x / y axis compensation amount is generated through calculation processing; meanwhile, a coordinate system transformation matrix is established and optimized by using data of a marking plate arranged on a motion table, and x-axis and y-axis non-orthogonal parameters are obtained. And then the compensation amount and the non-orthogonal parameters are input into a preset kinematic model, and the accurate position of the motion platform under the global coordinate system is calculated in real time. And when a preset updating condition is met, dynamically updating the error compensation value of the interferometer through the deviation between the actual position detected by the visual system and the calculated position. Reflector surface type error compensation and non-orthogonal parameter correction are fused, and high-precision error compensation calibration of the interferometer is achieved.

The invention discloses an aircraft component self-adaptive in-place method, device and equipment and a medium. The aircraft component self-adaptive in-position method comprises the following steps: acquiring an aircraft component ball socket image; based on the target detection model, detecting an aircraft component ball socket image to obtain a target ball socket joint image, and performing image preprocessing on the target ball socket joint image to obtain a ball socket joint circle center pixel coordinate; according to the initial positioning coordinates of the ball head and the ball socket, the pixel coordinates of the circle center of the ball socket joint and the coordinate system transformation matrix, the ball head feeding amount of the positioner is calculated; and controlling the positioner ball head to completely enter the ball socket according to the feeding amount of the positioner ball head and the force-position hybrid control model. According to the technical scheme, the ball head can be automatically guided to be accurately inserted into the ball socket in the racking process of the large aircraft component, manual intervention is not needed, the safety is high, the racking efficiency is improved, and damage to the component can be avoided.

The invention provides an inspection-oriented structure three-dimensional model data optimization method, which comprises the following steps of: analyzing assembly body model data generated by a three-dimensional design platform, and extracting an original data set containing a BREP topological structure, PMI labeling information and a hierarchical relationship; dynamically removing welding nodes, process auxiliary lines and non-geometric attribute data; performing multi-precision curved surface reconstruction on the BREP entity; grid fusion optimization based on material attributes is implemented, triangular patches of the same material are combined, and a vertex index table is reconstructed; constructing a lightweight assembly relation tree, and converting the spatial poses of the parts into a relative coordinate system transformation matrix; generating a lightweight metadata file containing measurable geometric parameters; and outputting a JT format lightweight model which accords with the ISO 14306 standard. According to the technical scheme, on the premise that the model states before and after lightweight processing are consistent, the data size of the model can be reduced, reduction of the overall data size of the three-dimensional model is promoted, and the opening and loading speed of the called model is greatly increased.

The invention relates to a clamping control method of a movable mechanical arm. The clamping control method is used for solving the problem of collaborative optimization of stability and precision in clamping operation. According to the method, a motion coupling factor and a contact force gradient mode length are calculated in real time through a dynamic coordination module, base-world coordinate system conversion is combined to realize bidirectional constraint of chassis speed and mechanical arm torque, instability caused by sudden load change is inhibited, a time-varying sliding mode surface and an anti-buffeting control law are adopted for sliding mode control, and the stability of a mechanical arm is improved. Dynamic boundary layer thickness and adaptive gain are introduced, control parameters are further optimized through a double-delay depth deterministic strategy gradient, and a multi-target reward function is designed. According to the method, the robustness of the system is remarkably improved through closed-loop optimization, and the stability and precision of the movable mechanical arm in the clamping operation are improved.

The invention discloses a coordinate system transformation fusion filtering tracking method and system for a dual-base-station radar, and relates to the technical field of radar target tracking. The method comprises the following steps: firstly, establishing a state and observation equation, and determining an initial state of a target based on prior information under Cartesian coordinates; then, obtaining a target motion state through one-step prediction, generating a sigma point by utilizing U transformation, and calculating a mean value and a covariance for constructing state space prediction; thirdly, fusing the measurement data and the prediction data by using a Kalman filter to obtain optimal state estimation and a covariance matrix; and finally, converting the updated state estimation back to the Cartesian coordinate system based on U transformation, and circulating the process until the tracking is finished. According to the method, the nonlinear filtering problem in the updating process can be avoided, and the tracking robustness and precision are improved.

The invention provides a method for quickly converting coordinate formats of mineral resource reserve databases in batches and related equipment. The method comprises the following steps: firstly, reading a mining area number and a registration classification number in a row coordinate record, and a character string in a mining area or mine range coordinate field and a character string in a calculation coordinate field from a coordinate management table; secondly, independently storing block coordinates in the two character strings by utilizing two one-dimensional arrays, and independently storing initial positions and inflection points of the block coordinates by utilizing two two-dimensional arrays; and finally, according to the information in the four arrays, in combination with an encoding rule of the character string, reading block coordinates from the corresponding arrays in sequence, forming a coordinate pair format, and writing the coordinate pair format into a corresponding text file, so that forward conversion from the coordinate string to the coordinate pair is realized. In addition, reverse conversion of coordinate pairs to coordinate strings is also provided. According to the invention, the coordinate pair data meeting the coordinate system transformation format requirement can be quickly realized and provided.

The invention relates to a sweeper path planning method, system and device suitable for a complex environment and a medium. The method comprises the steps that a global map of a sweeping area is acquired, feature vertexes are determined to decompose the global map, and a structural sub-area and a special sub-area are generated; determining a starting point of the structure sub-region according to the feature vertex, and generating a first path covering the structure sub-region by adopting an internal spiral method based on the starting point; determining a non-linear constraint region of the special sub-region, converting the non-linear constraint region based on coordinate system transformation, and generating a second path of the special sub-region; and determining a starting point and a target point of any path, connecting the starting point and the target point based on an improved path search algorithm, and generating a target path of the cleaning area. Therefore, according to the invention, through accurate path planning and dynamic adaptability optimization, the path planning level and the completion quality of the sweeping operation are improved, so that the sweeping vehicle can adapt to the actual scene of a complex environment, and the application range is greatly expanded.

The invention discloses an information system existing interface-based AI large language model interaction method, which comprises the following steps of: constructing an interface operation feature set according to an information system operation log; identifying a service intention category and a function granularity level corresponding to the interface, and generating an interface function granularity identification table; constructing an action rule chain according to the interface service intention category and the function granularity level; performing field consistency calibration in combination with a field time sequence identifier, a stage identifier and a trigger point identifier to form standardized intermediate JSON data; according to the standardized intermediate JSON data, generating cue words including field operation instructions, business semantic instructions and time sequence background instructions; model request sending, model output result analysis and consistency verification are carried out through an existing API interface, and system state updating information is recorded. According to the method, the system transformation cost is reduced, the accuracy of interface semantic expression is improved, and an enforceable and extensible technical path is provided for intelligent upgrading of a traditional information system.

The invention relates to the technical field of numerical control machining, in particular to a five-axis drilling numerical control machine tool based on visual positioning and a machining method, and the five-axis drilling numerical control machine tool comprises a machine tool body, a numerical control system, a contact type measuring head, a visual system and a calculation control unit. Coordinates of at least three non-collinear reference features on a workpiece in a machine tool coordinate system are automatically collected through a contact type measuring head, the deviation between the workpiece coordinate system and the machine tool coordinate system is automatically calculated through a coordinate system transformation algorithm, and after the workpiece coordinate system is established, a visual system is moved to the position above each programming hole site to shoot actual marks, and the workpiece coordinate system is calculated. According to the method, actual hole center coordinates are extracted through image recognition and compared with theoretical coordinates, and finally, deviation calculation and machining decision are carried out by integrating measuring head data, visual images, numerical control programs and tolerance parameters, so that through the automatic process integrating measurement, recognition, comparison and decision making, the machining precision is improved, and the machining precision is improved. The technical problems of manual errors and lack of verification before processing are effectively solved.

The invention provides a comprehensive anomaly recognition and fault-tolerant control method based on current sensor fault modeling, offset coordinate system transformation, a full-order sliding-mode observer and current space vector error projection, which comprises an innovative algorithm for accurately modeling and classifying various typical faults and carrying out fault detection and positioning by using the models. Based on a current sensor fault detection strategy of an offset coordinate system, through specific Clark transformation and coordinate offset, in combination with current residual amplitude reconstruction and hysteresis comparison, a reconstruction error is obtained through reconstruction of a current space vector error and projection, a sliding mode surface is formed by the reconstruction error and a measurement error, and accurate reconstruction of fault phase current is achieved. According to the method, various fault types and positions thereof can be accurately identified, the faults can be more accurately positioned, and the accuracy of fault detection is improved. When the current sensor breaks down, fault phase current can be effectively reconstructed, stable operation of the system is guaranteed, and better dynamic performance and control precision are achieved.

The invention relates to the technical field of material pile boundary detection, and particularly discloses an automatic material pile boundary detection system and method for an unattended bucket-wheel stacker-reclaimer. Radar equipment is used for scanning a target material pile to obtain point cloud data of the target material pile, and after coordinate system transformation and filtering processing are carried out on the point cloud data, the target material pile boundary is detected; carrying out local window-based geometric feature extraction on the preprocessed point cloud data by adopting a deep learning algorithm so as to mine local shape information of the target material pile, and carrying out core information-based aggregation analysis on geometric features of the target material pile under each local window; the global shape features and boundary information of the target material pile are captured, and automatic detection of the boundary of the target material pile is achieved through the semantic segmentation technology. By means of the mode, the defects of a traditional radar data processing mode can be overcome, accurate detection of material pile boundary information is achieved, and powerful support is provided for automatic operation of the bucket-wheel stacker reclaimer.

The invention relates to the field of BIM model visualization, in particular to a BIM design terrain and GIS live-action texture fusion method, BIM design terrain and GIS live-action texture data are processed respectively, when GIS live-action texture data changes, data updating can be achieved only by replacing slice data, and the convenience of data updating is improved; according to the method, the relation between the image slice nodes of the GIS live-action texture data and the space coordinates of the BIM design terrain is established through the coordinate system transformation matrix, so that coordinate transformation between the image slice nodes and the space coordinates of the BIM design terrain is facilitated, the space coordinates of the BIM design terrain correspond to the texture coordinates of the GIS live-action texture data, and finally fusion of the BIM design terrain and the GIS live-action texture data is realized.

The invention provides a multi-sensor obstacle avoidance control method and system for a fan blade inspection robot, and the method comprises the steps: carrying out the preliminary target detection through employing an RGB camera, and rapidly obtaining the visual information of a candidate obstacle; performing motion distortion correction and coordinate system transformation on the visual candidate targets by using accurate point cloud data of the laser radar, and performing cross-modal association and threat verification so as to effectively fuse visual semantic information and geometric accuracy of the laser radar and ensure accurate identification and three-dimensional space state acquisition of a threat object; further, state estimation and trajectory prediction are carried out on the verified threat object so as to deal with the uncertainty of a dynamic obstacle motion mode; and finally, accurately evaluating the collision risk based on the predicted trajectory and the planned trajectory of the unmanned aerial vehicle, quickly generating an avoidance decision containing the optimal direction and speed vector, and sending a final rotating speed instruction to an unmanned aerial vehicle motor to realize physical avoidance. In this way, the pre-judgment capability of the system on the potential collision risk is remarkably improved.

The invention provides a multi-view autonomous cooperative positioning method and system. The method comprises the following steps: determining a plurality of local maps and a plurality of key frame information of an environment where a plurality of agents are located based on a preset synchronous positioning and mapping algorithm; the plurality of intelligent agents are used for acquiring local environment information of multiple viewpoints from different positions and visual angles through carried visual sensors; the multi-view local environment information corresponds to a plurality of local maps and a plurality of key frame information; determining a constraint relationship among the plurality of local maps according to the information of the plurality of key frames, and determining a local map coordinate system transformation matrix according to the constraint relationship; the constraint relation comprises pose constraints of adjacent key frames; and fusing the plurality of local maps according to the local map coordinate system transformation matrix to obtain a global map, and determining global positioning information according to the global map. The method can adapt to a complex environment, and realizes high-precision and high-robustness unmanned aerial vehicle cluster positioning.

The invention discloses a non-intrusive stock data encryption method and device, equipment and a storage medium, and relates to the field of data processing. Performing static analysis on a program in the static analysis engine through a reflection scanning technology, and determining a target field for processing stock data in the database; periodically querying and extracting stock data from the database, and carrying out slicing processing; performing plaintext judgment on the slice data by utilizing a dynamic detection method and a judgment rule; the dynamic detection method is determined based on a coding mode of preorder encryption; and performing transactional encryption processing on the recognized plaintext data according to the target encryption algorithm and the matched target field, and then storing the data back to the database. Target fields are automatically recognized through the reflection scanning technology, accurate plaintext judgment is achieved in combination with dynamic detection and a rule engine, data consistency is guaranteed through transactional encryption processing, and the method has the advantages that stock plaintext data are automatically recognized and encrypted, the system transformation risk is avoided, and the plaintext judgment accuracy is improved.

The invention provides a system, a method and a device for monitoring the operation state of production equipment. The method comprises the following steps: determining total operation time data of the production equipment based on a startup signal; receiving production data pushed by production software corresponding to the production equipment; capturing an interface image of the production software, and generating a production state identifier and actual production time data of the production equipment after image recognition; calculating and generating estimated power consumption data; generating a state data packet with a uniform format and sending the state data packet to the MES subsystem; and outputting an equipment operation state report, an energy efficiency evaluation chart and a historical data query result according to the state data packet. According to the invention, equipment data acquisition is realized in a pure software mode, two modes of API docking and image recognition are supported to be compatible with new and old equipment, comprehensive, real-time and accurate equipment state data are provided for an MES system in combination with intelligent energy consumption estimation and a flexible network transmission strategy, the system reconstruction cost and complexity are significantly reduced, and the system reliability is improved. And the intelligent level of production management is improved.

The invention provides a probabilistic multi-scale-based missile loading vehicle tail end relative attitude estimation method and system, and belongs to the technical field of aviation equipment automation. Comprising the following steps: firstly, performing coordinate system conversion and noise suppression processing on acquired point cloud data, and constructing a probability multi-scale consistency model; then, on the basis of weighted features obtained by the probability multi-scale consistency model, density self-adaptive multi-scale feature fusion is executed; and finally, according to the multi-scale features after feature fusion, performing dual-stage pose estimation. Through dynamic noise suppression, component-level multi-scale feature modeling and a real-time optimization strategy, millimeter-level and high-reliability alignment between the end effector of the missile loading vehicle and the missile loading frame is achieved.

The invention relates to the technical field of motor control in the intelligent power grid industry, and discloses a space vector control method for a twelve-phase permanent magnet synchronous motor flywheel energy storage system, a control circuit of the flywheel energy storage system relates to power electronic components such as various semiconductor field-effect tubes, and the space vector control method is used for high-precision control of a motor. Comprising the steps of S1, twelve-phase space vector decoupling fault-tolerant control, S2, high-order harmonic energy recovery closed loop, S3, quantum annealing parameter optimization layer, S4, flux linkage adaptive observer network construction and S5, 18-dimensional switching vector table construction. According to the scheme, through multi-reference coordinate system transformation and a redundant phase reconstruction algorithm, rapid fault-tolerant response of the twelve-phase motor during a single-phase or two-phase fault is realized, a current path is dynamically recombined during the fault, a negative-sequence current compensation ring is combined, torque ripple is effectively suppressed, and the reliability of the motor is improved under a high-speed charging and discharging working condition. The harmonic distortion rate is detected in real time through the sliding window FFT, the bandwidth of the controller is adjusted, and the problem that the dynamic response of a traditional fault-tolerant strategy is insufficient is solved.

The application discloses a kind of robot joint control method and system based on motion capture device, belong to robot control technical field.The existing robot joint control scheme, lack effective human-computer cooperation and natural interaction mechanism, leading to robot flexibility is poor, cannot naturally express the intention of operator.A kind of robot joint control method based on motion capture device of the application, by constructing motion capture module, data processing module, coordinate system transformation module, solving optimization module, the rotation posture data of human joint collected using motion capture device is converted into the target joint control information required for robot execution, realize robot joint control based on motion capture device, so that human action can be mapped to robot efficiently and accurately, so that robot flexibility is good, can effectively handle sudden action or complex collaborative operation, so that the intention of operator can be naturally expressed, realize human-computer cooperation and natural interaction.

A method for stacking verticality of large-scale high-speed rotating equipment based on reference transformation relates to the technical field of precision assembly of large-scale high-speed rotating equipment. The method solves the problem that verticality deviation occurs after assembly of large-scale high-speed rotating equipment, which leads to an increase in the failure rate of large-scale high-speed rotating equipment. The method comprises the following steps: establishing a three-dimensional coordinate system transformation relationship and a transformation matrix; substituting the three-dimensional coordinate system transformation relationship into the transformation matrix to obtain a multi-stage rotor verticality prediction model; according to the multi-stage rotor verticality prediction model, obtaining the normal vector of the verticality reference plane and the normal vector of the highest-level rotor axial measurement surface, and performing reference transformation on the normal vector of the verticality reference plane and the normal vector of the highest-level rotor axial measurement surface and substituting them into the multi-stage rotor verticality prediction model to obtain a large-scale high-speed rotating equipment verticality control model, and guiding assembly according to the model. The present invention is suitable for the assembly of large-scale high-speed rotating equipment.

The invention provides a multi-laser tracker pose measurement method based on composite constraint, and belongs to the technical field of laser measurement, and the method comprises the steps: employing a preset laser tracker, building a pose measurement system, obtaining an instrument coordinate system, building a world coordinate system, setting a target plane, and setting a preset number of target balls to obtain a pose measurement result; constructing to obtain a target coordinate system; according to the pose measurement system, the laser trackers are used for tracking the target ball, the target ball coordinates of the target ball under the instrument coordinate systems of the laser trackers are measured, the coordinate systems of the target ball coordinates are unified to a world coordinate system based on coordinate system transformation, and to-be-solved system parameters are obtained; and constructing a composite constraint, constructing an optimal equation set based on an optimization algorithm, solving system parameters to be solved, obtaining a measurement pose, and completing pose measurement of the multiple laser trackers. According to the invention, the problems of small measurement range, low precision and large demand on the number of observation stations in a multilateral method in a traditional pose measurement method are solved.

This invention discloses a rapid generation method for rectangular disks suitable for structured meshes. This method simplifies crack propagation calculations of the disk into a parametric fracture mechanics model, enabling the calculation of stress intensity factor and crack propagation life. Specifically, finite element modeling is employed to extract the geometric boundaries of the disk and its partitions, considering the influence of geometric dimensions and boundary effects on crack propagation. Based on coordinate system transformation, using the crack initiation point and stress gradient direction as a reference, the rectangular plate can be accurately located, improving modeling efficiency. This invention simplifies the crack propagation plane into a finite-size rectangular plate. Based on boundary intersection point capture, it achieves high-fidelity equivalence between the rectangular plate model and the actual complex contour of the disk, reducing calculation errors in the boundary region using traditional methods. Furthermore, by extracting the crack-free stress distribution along the crack propagation direction on the rectangular plate, the stress intensity factor at the crack tip and crack propagation life can be calculated using the weighted function method.

The present application relates to the field of BIM model visualization, and particularly relates to a BIM design terrain and GIS real scene texture fusion method, the present application processes BIM design terrain and GIS real scene texture data respectively, when GIS real scene texture data changes, only needs to replace slice data to realize data updating, improves the convenience of data updating, the present application establishes the connection between the image slice node of GIS real scene texture data and the space coordinates of BIM design terrain through coordinate system transformation matrix, is convenient for the coordinate conversion between both, so that the space coordinates of BIM design terrain and the texture coordinates of GIS real scene texture data are corresponded, finally realizes the fusion of BIM design terrain and GIS real scene texture data.

This application discloses a resource management method, apparatus, and readable storage medium, relating to the field of electronic information. Compared to previous solutions, the resource management method provided in this application pre-adapts the front-end page of the resource pool to the cloud management platform. When a user logs in on the cloud management platform, the corresponding resource pool's front-end page is opened, and the instructions from the front-end page are forwarded to the resource pool's management platform back-end. Compared to the previous method of directly retrieving data from the corresponding resource pool using the cloud management platform's back-end management module, this solution avoids data and system transformation because both the front-end and back-end are the resource pool's own front-end and back-end. The logic is simpler, and since the front-end and back-end are adapted, advanced functions are not lost, resulting in higher applicability.

This invention discloses a method, system, device, and storage medium for generating three-dimensional cutting trajectories, comprising the following processes: acquiring a CAD model of the finished product, extracting cutting trajectory lines, and generating a three-dimensional point cloud of the CAD model; scanning the workpiece to be cut to generate a three-dimensional point cloud of the workpiece; registering the three-dimensional point cloud of the CAD model and the three-dimensional point cloud of the workpiece to be cut, calculating the transformation matrix, and performing coordinate system transformation on the CAD model according to the transformation matrix; generating a set of cutting poses based on the cutting trajectory lines and the transformation matrix, performing translation and rotation adjustments, smoothing, sorting, deformation compensation, and robot kinematics checks on the set of cutting poses to generate a set of cutting trajectories containing multiple cutting trajectories; and generating a cutting program based on a recognizable syntax based on the set of cutting trajectories containing multiple cutting trajectories.

This invention discloses an automatic attitude correction method, device, and optical terminal intensity meter for equipment. The automatic attitude correction method is applied to a pre-set monitoring terminal including a triaxial MEMS accelerometer and a magnetometer, and includes the following steps: acquiring acceleration and magnetometer data; calculating acceleration-stabilized triaxial offset; calculating roll and pitch angles and determining the horizontal plane; locating magnetic north and calculating the magnetic north azimuth; calculating magnetic declination and yaw angle using latitude and longitude; generating a rotation matrix and performing coordinate system transformation; judging angle changes and updating the matrix; and completing calibration and attitude stabilization. The technical solution provided by this invention ensures that the monitoring terminal equipment can automatically and accurately adjust and maintain its attitude after installation, thereby guaranteeing the effective operation of the earthquake monitoring and early warning system and improving earthquake disaster prevention and seismic monitoring capabilities.

This invention provides an automatic modeling method and system for low-voltage power grid data based on visual data acquisition, relating to the field of low-voltage power grid technology. The method includes: dividing the low-voltage power grid area into multiple sub-regions and constructing multiple local coordinate systems; analyzing the power grid equipment to be acquired and determining at least one matching local coordinate system; configuring a visual data acquisition task template, performing data acquisition to obtain at least one set of equipment modeling data; constructing a multi-region coordinate system transformation model, performing coordinate system transformation to obtain at least one set of equipment modeling transformation data corresponding to the equipment modeling data, and generating visual modeling simulation results for the data acquisition task. This invention solves the technical problem in existing technologies where, in the process of low-voltage power grid data modeling, a large, unified global modeling coordinate system is typically established for data acquisition or modeling of all power grid equipment. While this achieves a unified effect, it is not accurate enough, affecting the true reflection of power grid data and its application effectiveness.

The invention provides a link test method and system related to multi-system renovation, and the method comprises the steps: recognizing a local back-end project source code developed based on a Java or Kotlin language, generating an API document, and synchronizing the API document to a test platform; an annotation is added to a Controller layer of a back-end item of each system; according to the added annotation, interface change information is obtained from the API document synchronized to the test platform; collecting the interface change information according to the interface version number to obtain all interface sets involved in the link test; and testing all the interface sets involved in the obtained link test. According to the method and the device, the problem that a code change influence range and a test range are not clear during multi-system transformation is effectively solved, interface-level change records are acquired in real time, system barriers and team limitations are broken, meanwhile, accurate positioning of the test range is promoted, and cost reduction and efficiency improvement of link updating work are realized.