607results about How to "Eliminate errors" patented technology

The invention belongs to the technical field of power prediction, and discloses a new energy power prediction method and system based on multi-source meteorological data fusion, and the method comprises the steps: obtaining meteorological data from different meteorological data sources in real time or at regular time through a data obtaining module; carrying out preliminary screening and preprocessing on the obtained data by utilizing a data processing module; the data fusion module is used for integrating meteorological data from different sources by adopting an advanced data fusion algorithm to eliminate data redundancy; a mathematical model or a machine learning model suitable for new energy power prediction is constructed by using the prediction model module based on meteorological data of multi-source fusion; and the result output and evaluation module is used for outputting the prediction result to a user in a visual form, and carrying out real-time or regular evaluation on the prediction result. The method has the characteristics of diversified data sources, advanced data fusion technology, flexible prediction model construction, high real-time performance and accuracy, wide application scenarios and the like.

The invention discloses an intelligent navigation system and method for a ship in the technical field of ship navigation, and the system comprises a sensing module which is used for collecting the surrounding environment information and the state information of the ship in real time; the data processing and fusing module is used for preprocessing, calibrating and fusing the surrounding environment information and the self state information of the sensing module; the route optimization module is used for formulating a navigation plan and a collision avoidance strategy; the navigation control module is used for autonomously controlling the ship according to the output of the ship route optimization module; and the communication monitoring module monitors the navigation state of the ship and the change of the surrounding environment through real-time communication between the ship and a shore-based control center, other ships and a maritime affair management department. According to the method, data of different sensing units are associated, and the associated data are fused, so that mutual verification and complementation can be realized, and the accuracy and reliability of target identification are improved.

The invention discloses a large language model training method and system based on elastic federal low-rank adaptive fine tuning, which adopts federal aggregation based on singular value decomposition (SVD) to reconstruct a local LoRA module of a client into a local increment matrix, then aggregates the local increment matrix into a global increment matrix, and generates a LoRA module of the next round through SVD, thereby effectively eliminating aggregation errors of traditional FedLoRA. According to the method, the LoRA rank is dynamically distributed for each weight matrix, and the balance between statistics and hardware efficiency is realized. In order to further reduce communication overhead and maintain model precision, a self-adaptive matrix freezing mechanism is introduced, and whether freezing is carried out or not is judged according to training stability of a weight matrix. According to the method, challenges of traditional FedLoRA in the aspects of training efficiency, communication overhead, model precision and the like are solved.

The invention discloses a data analysis method and system and a storage medium, and is applied to the field of natural language processing. The method comprises the steps of obtaining a natural language input by a user; constructing a semantic data model for converting the natural language into a semantic query statement; combining the semantic data model with a user-defined rule to construct a semantic parser; inputting the natural language into the semantic parser for parsing to obtain a semantic query statement; inputting the semantic query statement into a semantic corrector for correction to obtain a target semantic query statement; converting the target semantic query statement into a structured query statement through a semantic translator; and inputting the structured query statement into the database for query to obtain a query result.

The invention discloses an intelligent eye-protection illumination sitting posture correction method and system, particularly relates to the technical field of illumination sitting posture correction, and is used for solving the problem of asynchronous illumination sitting posture analysis. According to the method, data from different sensors are ensured to be synchronized on the same time reference through a dynamic time warping algorithm, errors caused by asynchronization are eliminated, a self-attention mechanism is combined with position coding, the complex relation and time sequence dependence of the data are accurately extracted, the feature representation capability of the model is improved, and finally, the model is optimized. Time sequence data fusion is carried out on the multi-modal features according to the long-short-term memory network, the user state and demand are predicted in real time, accurate light adjustment and sitting posture monitoring are achieved, the robustness and adaptability of data analysis are improved, the user experience and health management efficiency can be remarkably improved in intelligent eye-protection illumination sitting posture correction, and the user experience is improved. And a more comfortable and healthy working and living environment is provided for the user.

The invention relates to the technical field of data identification, in particular to a spectroscopy-based Chinese herbal medicine component identification method and system. The method comprises the following steps: carrying out difference wavelength characteristic analysis and wavelength calibration treatment on a quantitative Chinese herbal medicine sample to be detected to obtain spectrum calibration data of the Chinese herbal medicine sample to be detected; performing spectral feature recognition analysis and feature vector conversion processing on the spectral calibration data of the to-be-detected Chinese herbal medicine sample to obtain a spectral feature vector of the to-be-detected Chinese herbal medicine sample; performing vector classification processing and feature point set sampling processing on the spectral feature vectors of the Chinese herbal medicine sample to be detected to obtain spectral feature point sets of different components to be detected in the Chinese herbal medicine to be detected; and obtaining a spectral feature point set of known components of the Chinese herbal medicine, and carrying out incidence matrix mapping analysis and component extreme value identification analysis on the spectral feature point set of different to-be-detected components in the to-be-detected Chinese herbal medicine to obtain a component identification result of the to-be-detected Chinese herbal medicine sample. According to the invention, specific components in the Chinese herbal medicine can be identified more accurately and efficiently.

The invention relates to a cross-domain clock synchronization method in a time sensitive network, and belongs to the technical field of time synchronization. The method comprises the following steps: establishing a multi-domain clock synchronization network topology based on a transit clock; the transit clock obtains main clock time according to the main domain synchronization message, carries out link delay measurement message interaction with adjacent equipment, records a corresponding timestamp and obtains link delay; transmitting the acquired main clock time, each timestamp and link delay to a synchronization error compensation prediction module in the transfer clock, calculating a clock time offset result by the synchronization error compensation prediction module, and predicting error compensation; frequency and phase adjustment is carried out on a local clock according to the calculated error compensation predicted value, a slave domain synchronization message is sent to adjacent slave clock equipment, and forwarding of the slave domain synchronization message and clock correction are carried out in sequence. According to the invention, accumulated errors such as jitter, time delay change and network congestion can be eliminated as much as possible.

The invention discloses a mounting method for a water distribution ring pipe of an impulse turbine, and relates to the technical field of water turbines. Comprising the following steps: determining a runner pitch circle; the Z axis coincides with the circle center of the rotating wheel pitch circle; determining a rotating surface; determining a positioning surface; determining a positioning basis; setting a plurality of positioning lines; mounting a fork pipe, wherein the center of an outlet flange of the fork pipe is on a corresponding positioning line; determining the mounting angle of the fork pipe; the distance between the end surface of the outlet flange and the positioning surface is equal to a theoretical value; fixing the fork pipe; the steps are repeated until all the fork pipes are fixed; all straight pipes of the water distribution ring pipe are placed and fixed, and installation of the water distribution ring pipe is completed; when the straight pipe and the fork pipe are welded, due to existence of welding stress, the end face and the positioning face of the outlet flange need to be continuously measured to ensure that the end face and the positioning face of the outlet flange are parallel and the distance is equal to a theoretical value. The problem that the water distribution ring pipe is inconvenient to mount and measure due to the size and the weight of the impulse turbine can be solved.

The invention discloses a glacier jump prediction and data sample enhancement management method, particularly relates to the field of glacier remote sensing monitoring, is used for solving the problem of accurate identification and processing of surface moraine covering type glacier local albedo abnormal effect, and aims at solving the problem of accurate identification and processing of the glacier local albedo abnormal effect by comprehensively analyzing the coupling relationship between spectrum and temperature and the spatial sensitivity of temperature gradient. And accurate identification and processing of the moraine covering glacier local albedo abnormal effect are realized. According to the method, main causes of albedo abnormity can be effectively distinguished, and an abnormal area is corrected in a targeted manner by scientifically selecting an optical and thermal infrared remote sensing fusion mode or an optical and radar remote sensing fusion mode, so that the glacier identification precision and the jump prediction accuracy are remarkably improved. Through multi-level remote sensing data correction and feature extraction, a high-precision data foundation is laid for subsequent analysis; in the process of generating an enhanced sample and optimizing a prediction model, the reliability and response speed of glacier jump prediction are further improved.

The invention provides a seat position self-calibration method and device and electronic equipment, and relates to the technical field of seat control. The method comprises the steps that a target edge code segment of a calibration segment in the sliding process of a seat is obtained, and the sliding stroke of the seat comprises the calibration segment; the target edge code segment is matched with a reference edge code segment corresponding to a preset calibration segment, a matching result is obtained, and the reference edge code segment comprises position coordinates and edge codes of all calibration points in the calibration segment; and when the matching result indicates that the seat position is calibrated, calibrating the seat position according to the target edge code segment and the reference edge code segment. In the conventional use process of the seat, the position of the seat is self-calibrated by sliding the seat, so that the calibration frequency and flexibility of the position of the seat are improved; the target edge code section of the calibration section in the seat sliding process is obtained, the seat position is calibrated according to the target edge code section, and the positioning precision of the seat position is improved.

The embodiment of the invention provides a spatial-temporal data element dynamic updating method and system based on GIS support, and belongs to the technical field of data processing. The method comprises the following steps: acquiring first spatio-temporal data of a target object under a target sensor, corresponding second spatio-temporal data under a target remote sensing technology and corresponding third spatio-temporal data under a real-time detection system at target time; performing data alignment on the first spatio-temporal data, the second spatio-temporal data and the third spatio-temporal data to obtain initial conflict data corresponding to the target object; performing anomaly identification on the initial conflict data by using the first spatio-temporal data, the second spatio-temporal data and the third spatio-temporal data to obtain target conflict data corresponding to the target object; performing data fusion on the first spatio-temporal data, the second spatio-temporal data and the third spatio-temporal data according to the target conflict data to obtain corresponding target spatio-temporal data of the target object at the target time; and dynamically updating the spatio-temporal data elements of the target object according to the target spatio-temporal data to obtain a target updating result.

The invention relates to the technical field of power supply circuits, in particular to a current sampling circuit, a chip and electronic equipment. The current sampling circuit comprises a first sampling branch, a second sampling branch and an operational amplifier, the sampling resistor is connected in series with a current branch to be measured; the output end of the first sampling branch is connected with the first input end of the operational amplifier; the first sampling branch is used for sampling first sampling voltage of the first end of the sampling resistor, and the second sampling branch is used for sampling second sampling voltage of the second end of the sampling resistor and outputting the second sampling voltage to the second input end of the operational amplifier; the operational amplifier is used for amplifying the difference value between the first sampling voltage and the second sampling voltage according to the amplification factor; the first sampling output end of the current sampling circuit outputs a first voltage value. When the current sampling circuit provided by the invention is used for high-side current sampling, errors caused by common-mode voltage are eliminated, so that the sampling precision is relatively high.

The invention discloses a frequency spectrum refining frequency point tracking type optical frequency domain reflection distributed sensing method, which comprises the following steps of: inputting probe light into a sensing optical fiber engraved with weak reflection points to obtain backscattered light; carrying out coherent frequency mixing on the backscattered light and the reference light, and then carrying out photoelectric conversion to obtain an electric signal containing weak reflection point information; aD sampling is carried out on the electric signal containing the weak reflection point information, and a first discrete signal sequence is obtained; performing frequency spectrum refinement on the first discrete signal sequence to obtain a refined beat frequency spectrum; performing peak searching operation on the refined beat frequency spectrum to obtain weak reflection beat frequency points at different positions in different measurement periods; extracting phase values of beat frequency points of weak reflection points at different positions in different measurement periods by utilizing Hilbert transform; and carrying out phase demodulation on the phase values of the beat frequency points of the weak reflection points at different positions in different measurement periods to obtain the change condition of parameters measured by the sensing optical fiber. Errors caused by the Doppler effect can be eliminated.

The invention discloses a warehouse management method based on the industrial Internet of Things, and the method comprises the following steps: automatically collecting image data of goods through Internet of Things equipment, taking the image data as goods information, and storing the goods information in a central database for recognition; image data and temperature and humidity data of a warehouse shelf are obtained through Internet of Things equipment to serve as shelf information, and the shelf information is stored in a central database to be recognized; matching is carried out according to the goods information and the goods shelf information, the optimal goods shelf is selected to store goods on the basis of goods types, sizes, storage requirements and storage condition factors, and a unique classification number is distributed to each piece of goods; the goods are stored to the corresponding goods shelf positions according to the distributed classification numbers and the matching results; through automatic and intelligent warehouse management, the operation efficiency of the warehouse and the accuracy of inventory management are improved, and complex storage conditions and dynamically changing inventory requirements can be dealt with, so that the overall efficiency and precision of warehouse management are effectively improved.

The invention discloses a satellite navigation decoy detection method based on inertial navigation, and the method comprises the steps: carrying out the validity verification of received satellite navigation data before the alignment of equipment is not completed; once the data is valid, the equipment enters a combined navigation state, and in the state, the judgment threshold values of the satellite navigation position and speed are dynamically set by utilizing the characteristic that inertial navigation errors diverge along with time; position and speed information provided by satellite navigation and inertial navigation is compared in real time, and if the difference value of the two exceeds a preset dynamic threshold value, it is judged that the satellite navigation information may be decoy; once decoy is detected, the device exits the integrated navigation state; according to the invention, satellite navigation decoy detection is realized through a software algorithm, navigation data can be judged and processed autonomously and accurately in a complex and severe navigation environment, and navigation errors caused by signal decoy are prevented.

The invention discloses a fast steering mirror position precision real-time calibration system and method. According to the system, a temperature sensor is arranged on each motor of the fast reflecting mirror, the detection temperature of each motor of the fast reflecting mirror is measured in real time through the temperature sensors, a temperature cycle test is carried out in combination with a high-low temperature box and a theodolite, and the calibration temperature is calculated based on the detection temperature of each motor through a processing assembly; generating a calibration model according to the calibration temperature and the position of the fast steering mirror obtained by multiple tests; and finally, the position precision of the fast steering mirror is calibrated through the calibration temperature and the calibration model which are acquired in real time. Real-time detection and calibration can be realized, and errors can be further eliminated, so that the real-time performance is improved, and the position precision of the fast reflecting mirror is improved. The technical problems that the real-time performance is poor, and the position precision of the fast steering mirror is not high are solved.

The invention discloses a mounting and measuring device for a water distribution ring pipe of an impulse turbine, which relates to the technical field of water turbines and comprises a measuring mechanism and a measuring and positioning plate. The measuring mechanism comprises a base with a horizontal adjusting mechanism; a supporting column is mounted on the base; a measuring arm is rotationally connected to the supporting column, and the rotating axis of the measuring arm is collinear with the center line of the unit. A positioning assembly and a first adjusting mechanism which are matched with the centers of a plurality of outlet flanges are arranged between the measuring arm and the supporting column; the central line elevation of the measuring arm is equal to the elevation of the water diversion blade of the bucket through the first adjusting mechanism; the mounting position of the outlet flange on each water distribution ring pipe joint is positioned through a positioning assembly; the measurement positioning plate is mounted on the outlet flange, and the measurement positioning plate is parallel to the measurement plate when the water distribution ring pipe is mounted; the measuring plate can adjust the elevation so as to eliminate errors caused by deformation of the long arm. The problem that the water distribution ring pipe is inconvenient to mount and measure due to the size and the weight of the impulse turbine can be solved.

A water conservancy pipeline measuring device belongs to the technical field of pipeline measurement and comprises a pipeline and further comprises a bottom plate, a supporting unit is arranged on the bottom plate, a driving unit, a graduated scale, a measuring unit and an inner supporting unit are arranged on the supporting unit, the measuring unit is used for measuring the inner diameter, the outer diameter and the thickness of the pipeline, and the inner supporting unit is used for inner supporting positioning of the pipeline. The driving unit drives the measuring unit and the inner supporting unit to play a role at the same time. According to the invention, the same measuring device is adopted, and a single measuring step is utilized, so that the detection of three linear dimensions of the inner diameter, the outer diameter and the thickness of the pipeline can be simultaneously met, and compared with the traditional equipment which can only meet the measurement of the inner diameter of the pipeline at a single time, the comprehensive requirement on the measurement of the pipeline dimension during actual measurement can be more efficiently and comprehensively met; and the whole measurement process is carried out based on a stable and uniform reference point, so that errors caused by inconsistent reference points are fundamentally eliminated.

The invention discloses a self-healing sensing method and a self-healing sensing device, and aims to improve the reliability and the accuracy of a sensor under the condition that a fault exists or the performance is reduced. According to the basic principle of the method, a self-detection and self-healing mechanism is started in time by monitoring the difference between sensor output and target physical quantity in real time, so that the stability of the system and the reliability of data are ensured. According to the self-healing sensing method and device, data unreliability caused by sensor faults can be effectively handled, and the self-adaptive capacity and robustness of the system are improved. Through the combination of real-time monitoring and machine learning, the system can automatically adjust the output when the sensor fails, and reduces the need of human intervention, thereby improving the stability and data quality of the whole system. The innovative method has wide application prospects in the fields of intelligent sensors, automatic control, Internet of Things and the like.

The invention relates to the field of video inspection, in particular to an active video inspection system based on Internet of Things driving, which comprises a current analysis module, an image input module, an image input detection module, an image output detection module and an audio detection module. According to the method, the current of the conference room equipment is monitored, abnormal equipment is found in time, rapid fault diagnosis is achieved, the effectiveness of the video stream is effectively judged by obtaining and processing the video stream and analyzing the grayscale image, it is ensured that the input picture is always in an available state, the blank screen phenomenon and picture distortion are avoided, and the user experience is improved. The image output detection module verifies the display effect, ensures the accuracy of an output picture and determines an abnormal area when the output picture is abnormal, the audio detection module plays a test audio and collects feedback, the sound receiving effect of a microphone is effectively evaluated, the conference room equipment is automatically and actively inspected, the equipment state is continuously monitored and evaluated, and the sound receiving efficiency is improved. Potential faults can be found and prevented in time, and the sudden fault risk of equipment is remarkably reduced.

The invention relates to the technical field of food detection, and discloses a food pesticide residue safety detection analysis method based on machine learning, which comprises the steps of food sample collection, extract pretreatment, two-dimensional liquid chromatography-high resolution mass spectrometry combined technology analysis, mass spectrum acquisition, mass spectrum numerical data conversion, data correction and machine learning model establishment. The method comprises the following steps: identifying and classifying pesticide residue components, extracting a pretreatment extract, analyzing a to-be-detected sample, acquiring a mass spectrum, converting the mass spectrum into to-be-detected mass spectrum numerical data, correcting the data, inputting a model, identifying and classifying pesticide residues, quantitatively analyzing, comparing food safety standards, judging conformity and generating a detection report. The invention aims to improve the accuracy, sensitivity and efficiency of pesticide residue detection. Meanwhile, through technical correction and optimization, the problems of environmental interference, data deviation and the like faced by an existing method are effectively solved.

The invention relates to the technical field of hydrological monitoring, and discloses a regional groundwater reserve change dynamic monitoring method based on gravity satellite time series data analysis. According to the method, the multi-source data scale effect and observation noise are effectively eliminated, the physical reliability and resolution of groundwater signal extraction are improved, and the recognition precision and early warning perspectiveness of the abnormal loss trend are enhanced. A full-chain monitoring closed loop of multi-source satellite observation, high-precision physical inversion and dynamic statistical benchmark is constructed, multi-dimensional environment data is aligned, a component separation strategy based on multi-element physical mechanism constraint is established based on a water balance principle, and anomaly diagnosis is performed in combination with a self-adaptively updated long-time-sequence historical database.

The invention relates to the field of optical system calibration, in particular to an optical camera position and attitude calibration method. According to the method, a least square method is adopted, the flatness h of an imaging assembly installation reference surface and the perpendicularity p between the imaging assembly installation reference surface and an optical lens installation reference surface are subjected to least square fitting, the correction misalignment amount delta is obtained, reference is provided for follow-up coaxial adjustment of an optical lens of an optical camera and an imaging assembly, and the calibration precision is improved. By adopting the beam splitter prism assembly, auto-collimation images of the beam splitter prism assembly can be simultaneously incident to different directions of the accurate measurement mirror assembly by only using one laser theodolite; compared with a traditional measurement method adopting a plurality of laser theodolites, the method has the advantages that the rotation error caused by mutual aiming of the plurality of laser theodolites is overcome, and the calibration precision and efficiency are improved.

The invention discloses a tobacco leaf flatness measuring device and method based on machine vision, and relates to the technical field of cigar tobacco leaf flatness measurement. The tobacco leaf flatness measuring device comprises a main body table top, a tobacco leaf placing table is arranged on the main body table top, an industrial camera is arranged on one side of the tobacco leaf placing table, and laser range finders are arranged above the tobacco leaf placing table in a transverse and longitudinal sliding mode; a rotary lifting frame is arranged on one side of the tobacco leaf containing table in the longitudinal direction in a sliding mode, projection lamps are evenly distributed on the rotary lifting frame, and a leveling device is arranged on one side of the tobacco leaf containing table in the longitudinal direction in a sliding mode. The method solves the problems that in production in the traditional technology, the method for measuring the flatness of the tobacco leaves still adopts manual subjective judgment, errors are large, clear and unified standards do not exist and the like, and the manual judgment method mostly carries out indirect judgment through the flatness degree of the main veins and the branch veins of the tobacco leaves. And direct measurement of the flatness of the complete leaf surface of the cigar tobacco cannot be realized.

The invention relates to the field of machining and manufacturing, aims to reduce the influence of deflection change of a cross beam and improve the precision of linear motion of a machine tool, and provides a machining method of a gantry machine tool cross beam guide rail. The gantry machine tool beam guide rail machining method comprises a to-be-machined beam, a machining machine tool and a collimator. Finite element analysis is conducted on the to-be-machined cross beam, and a reversible deformation curve S needed for machining the guide rail face of the to-be-machined cross beam is obtained. And the processing machine tool performs first-time processing on the guide rail surface of the to-be-processed cross beam according to the reversible deformation curve S. And the collimator detects the guide rail surface processed for the first time to obtain an error value of the processing machine tool. And the error value of the machining machine tool and the reversible deformation curve S are fitted to obtain a calibrated reversible deformation curve S1, the guide rail face is machined for the second time according to the calibrated reversible deformation curve S1, the guide rail face of the cross beam counteracts deflection changes after being assembled to the gantry machine tool, and the effects of reducing the deflection changes of the cross beam and improving the linear motion precision of the machine tool are achieved.

The invention relates to the technical field of semiconductor detection, and discloses an ATE equipment high-speed AC signal calibration system and method, and the system comprises at least one FPGA module which is provided with a plurality of channels for bidirectional signal transmission; each PE module is correspondingly positioned on one channel of the FPGA and is used for receiving the driving signal output by the FPGA and an external input signal and sending a feedback signal to the FPGA module according to the driving signal; the signal calibration module is located in the FPGA and used for receiving the feedback signals and comparing time delays between the feedback signals input from different channels; the delay compensation module is positioned in the FPGA and is configured to adjust the time delay of each channel based on the comparison result of the signal calibration module so as to realize the synchronization of the signals of the plurality of channels; and when a plurality of FPGAs exist, the system also comprises a PLL module, and the PLL module is configured to provide synchronous clock signals with the same frequency and fixed phase to the plurality of FPGAs at the same time, so as to ensure that the internal clocks of the FPGAs are synchronous.

The invention discloses a multi-source data-based mining equipment positioning system and method. The system is characterized in that a plurality of ultra-wideband base stations are sequentially mounted in a crossheading roadway at intervals; the coding identifiers are mounted on supporting columns of the hydraulic supports in a one-to-one correspondence manner, and are positioned on one side close to the coal mining machine; the inertial sensing unit, the camera, the ultra wide band positioning module and the controller are all mounted on the body of the coal mining machine; the visual angle of the camera faces a supporting column of the hydraulic support. The ultra-wideband positioning module is positioned on one side, close to a crossheading roadway, of a coal mining machine body and is connected with the ultra-wideband base station; the controller is respectively connected with the inertial sensing unit, the camera and the ultra-wideband base station. The method comprises the following steps: carrying out initial position calibration by using the ultra-wideband positioning module; predicting the position of the coal mining machine based on inertial navigation; updating the prediction state of the inertial sensing unit based on the identification of the coding standard by the camera; and the positioning continuity is ensured by fusing the data of the inertial sensing unit and the camera. According to the system and the method, real-time and accurate positioning operation of the coal mining machine in the working process can be realized.

The invention provides a battery box locking mechanism and a vehicle. The battery box locking mechanism comprises a first guide part, a second guide part arranged on a battery and at least one locking part arranged on a battery bracket. And the second guide part comprises a second guide plate pivoted on the battery bracket and a first elastic piece propped against the second guide plate. The first guide part is provided with a first guide plate, the first guide plate and the second guide plate are oppositely arranged and define an inverted-splayed open groove, when the battery box moves downwards, the second guide plate pivots relative to the battery bracket, and the first elastic piece is compressed to store energy. The locking part comprises a locking seat, a first driving part connected to the locking seat, and a locking rod connected to the power output end of the first driving part. The locking seat is provided with a locking groove, the battery box is provided with a guide rod matched with the locking groove, and the first driving part drives the locking rod to abut against the guide rod so as to limit displacement of the battery box. According to the invention, the alignment accuracy during replacement of the battery box can be realized, and the clamping stagnation phenomenon is avoided.

The present invention belongs to the field of intelligent manufacturing and flexible manufacturing, and discloses a dual AGV collaborative handling system and a control method thereof, including a pilot AGV, a follower AGV and a shelf; the pilot AGV and the follower AGV are respectively connected to the bottom ends of the shelf, and the pilot AGV and the follower AGV are connected in communication; a first status information acquisition device is provided on the pilot AGV, and the first status information acquisition device is used to acquire the status information of the pilot AGV and send it to the follower AGV through the pilot AGV; a second status information acquisition device is provided on the follower AGV, and the second status information acquisition device is used to acquire the status information of the follower AGV and send it to the follower AGV, and the follower AGV is used to adjust its own position according to the status information of the pilot AGV and the status information of the follower AGV. The dual AGV collaborative handling system and the control method thereof of the present invention realize better handling and processing for the problem of handling large components that are difficult to be effectively carried out by a single AGV.

The invention discloses a machine tool cutter space pose on-machine measurement device and a measurement method thereof, and the device comprises a calibration module which is installed at one side of a cutter handle of a cutter; a frequency-modulated continuous wave laser interference system and a galvanometer are installed on a vibration isolation workbench of the machine tool, light beams emitted by the frequency-modulated continuous wave laser interference system achieve conversion of a set angle through the galvanometer so as to cover the calibration module, and a space positioning algorithm is adopted to fit the plane where the target ball is located. And obtaining a deviation value between the mass center and the normal vector in two measurement results before and after machining, and taking the deviation value as the tool space pose error before and after machining of the machine tool, so that rapid and high-precision direct measurement of the tool space pose error is realized. The method has the advantages of being large in measurement range, high in measurement precision, simple in structure and low in cost, and the defect that in an existing method, the position and pose errors of the tool are indirectly calculated through an error model is overcome.