14results about How to "Prevent overcorrection" patented technology

This invention discloses a graphic calibration system and method for CNC mold machining. The system includes: a data acquisition module configured to receive CNC machining tasks and acquire graphic data and measurement data of the mold to be machined based on the machining tasks; a data calibration module configured to perform geometric feature calibration on the graphic data based on preset calibration data, generate calibrated calibrated graphic data, and spatially register the measurement data and calibrated graphic data to obtain deviation data; a data processing module configured to map the deviation data to a machining parameter library in the machining task, calculate the correction values ​​of each machining parameter to obtain calibration parameters; and a data feedback module configured to feed back the calibrated graphic data and / or calibration parameters to the system, and perform the remaining graphic data input and machining parameter input for the machining task. This invention significantly improves mold machining accuracy and production efficiency, providing a high-confidence graphic input benchmark for CNC mold machining.

The present invention provides a metal wire straightening machine, including a workbench, a force measuring and pressure automatic straightening component is fixedly connected to the middle part of the upper part of the workbench; a visual detection component is also fixedly connected to the left side of the force measuring and pressure automatic straightening component; the visual detection component can transmit the state data of the metal wire after straightening to an industrial control all-in-one machine, and the industrial control all-in-one machine will control the force measuring and pressure automatic straightening component to automatically adjust according to the state of the metal wire after straightening. The industrial control all-in-one machine in the present invention can detect the bending degree of the metal wire through a first industrial camera and a second industrial camera, and the industrial control all-in-one machine will also automatically use a pressure sensor and adjust the pressure of the mobile straightening wheel on the metal wire according to the bending degree of the metal wire. This process does not require manual operation, and can effectively avoid the problem of over-correction or under-correction that may occur during manual adjustment, thereby avoiding the problem of great waste of metal wire.

The present invention discloses an inflatable bag structure and construction method for correcting the displacement of an operating subway tunnel, including an inflatable bag, a central tie rod and a telescopic frame arranged around the central tie rod are arranged inside the inflatable bag, a conical cap tip fixedly connected to the central tie rod is arranged on the top, and a sealing plug is connected to the bottom, and a hole is reserved in the center of the sealing plug for the central tie rod, an inflatable pipe and a soil delivery pipe to extend into, the inflatable pipe is supplied with air by an inflating device, and the soil delivery pipe is supplied with filling soil by the soil delivery device. The method of using an inflatable bag for inflating and extruding correction can minimize the impact on the surroundings to the greatest extent, avoiding the great impact on the surrounding environment in the traditional sleeve valve pipe grouting, which may cause unnecessary deformation of other adjacent pipelines or structures. It is suitable for local tunnel displacement correction in underground spaces with dense pipelines.

The application relates to a welding jig which comprises a base assembly provided with a position-giving part, an upper pressing assembly provided with a pressing correction part and a locking mechanism, when the upper pressing assembly and the base assembly are locked, the pressing correction part forces the local part of a to-be-welded plate into the position-giving part, so that the plate generates a preset elastic deformation. The welding jig effectively overcomes the problem that the plate cannot be closely attached due to its own warping by forced deformation through the above structure, ensures the close contact of the plate, components and frames at the welding position, eliminates the welding gap, effectively avoids the virtual welding and false welding phenomenon, and significantly improves the welding quality and connection strength of the electronic assembly.

The invention relates to a method for straightening a cam shaft through shot peening impact, in particular to a method capable of straightening the cam shaft made of steel with poor toughness. The camshaft is straightened by measuring the runout value of the camshaft, determining the straightened point of the camshaft, determining the direction of the shot blasting head, adjusting parameters of the shot blasting machine, straightening the straightened point and repeatedly straightening all the straightening points, the runout value of the camshaft is reduced, and the runout value of the main shaft position of the camshaft reaches the qualified range. By means of the straightening method, the cam shafts which are poor in toughness and prone to being broken by pressing can be straightened, the precision and the product quality of the straightened cam shafts can be improved, the production cost is reduced, and the production time is shortened.

This invention discloses a real-time control method and system for a forklift mobile robot based on hierarchical collaboration, belonging to the field of robot real-time control technology. By constructing a hierarchical architecture of an execution layer vehicle control unit and a perception layer perception computing unit, it acquires data such as driving speed, steering angle, lifting displacement, environmental friction coefficient, pallet boundary, and the opening width of the pallet for fork insertion, forming a data alignment set. Based on this, a control-perception coupling mapping relationship is established, generating a state constraint domain and a real-time amplification factor matrix. A unified prediction model is constructed for trajectory prediction to obtain an initial control sequence. Further, a closed-loop control sequence is formed through rolling correction, and parameters are dynamically updated based on execution errors to form an adaptive correction amount and feedback iteration until the error meets the threshold, outputting a stable control result. This invention can improve the control accuracy and stability of forklift mobile robots under complex working conditions.

The invention provides an automobile passenger transport ticket business and operation integrated management method and system, and relates to the technical field of automobile passenger transport ticket business management, and the method comprises the steps: collecting historical operation data and target date features of a target line; building a passenger number prediction model based on the historical operation data, inputting the target date features into the passenger number prediction model, and outputting a passenger flow prediction result of the target line in the target date; according to the passenger flow prediction result, evaluating the vehicle full load risk of each getting-on station of each running train number in the target date; and after the user purchases the ticket in the target date of the target line, displaying a risk assessment result. According to the invention, by introducing the dynamic full-load risk assessment and real-time passenger flow prediction model, the passenger flow volume at different time periods and stations can be estimated and full-load risk assessment and display can be carried out, so that the operation efficiency of inter-city and urban and rural long-distance buses is improved, a user can select a proper travel time period, and the riding experience of the user is optimized.

The invention relates to the technical field of deformed steel bar production, and discloses a tail pressing device for assisting deformed steel bar to decelerate and eliminate bending, which comprises a cooling bed, a substrate and a deformed steel bar body, a support and a cylinder are mounted on the substrate, a U-shaped rod is mounted on the support, one end of the U-shaped rod is connected with the cylinder, and the other end of the U-shaped rod is connected with a tail pressing decelerating assembly. A transverse rib is firstly in contact with a front inclined sliding block, and the transverse rib pushes the front inclined sliding block to move upwards and presses a pressing type disconnecting switch; then the transverse rib is in contact with the inclined pressing block, after the transverse rib passes through the inclined pressing block, the transverse rib passes through the rear inclined sliding block, the rear inclined sliding block presses the pressing type closing switch, the electromagnetic suction ring is powered on, the pressing column presses the inclined pressing block through the pressing tool, and then the inclined pressing block is controlled to apply pressure to the non-transverse rib part; and the situation that the transverse rib is pressed and even flattened due to the fact that the inclined pressing block applies pressure to the transverse rib on the deformed steel bar body, and the unqualified product rate of the deformed steel bar body is increased is avoided.

The invention discloses an intelligent prisoner education evaluation and transformation integrated system, and relates to the technical field of intelligent correction of prisoners. Comprising the steps that a data acquisition module acquires multi-modal data in real time; the atlas construction module is used for extracting psychological factor characteristics, emotion coding characteristics, behavior strategy characteristics and physiological anomaly index characteristics after aligning the multi-modal data according to a unified time axis, and constructing a state atlas with psychological factors as nodes and incidence relations between the factors as edges; the risk assessment module inputs the state atlas into a graph neural network to output psychological risk levels, recruitment tendency paths and key nodes; the task generation module generates a VR training instruction or a dialogue scene instruction according to the key node; the feedback updating module is used for collecting new behaviors and physiological data in the training process after receiving the instruction, and dynamically updating a state map. And through multi-modal data fusion and a dynamic graph closed-loop updating mechanism, precise risk assessment of the prisoners and self-adaptive optimization of a personalized correction scheme are realized.

The invention provides an abdominal operation video semi-automatic marking method based on a mark point tracking backtracking anatomical path, and belongs to the technical field of operation video marking. Comprising the following steps: S1, constructing a path internal data set; s2, constructing a path external data set; s3, constructing an environment interference coefficient of the ith mark point, and constructing a path credibility coefficient of the ith mark point; s4, constructing a deep learning model for video marking, and constructing a path comprehensive correction coefficient of the ith marking point; and S5, dividing the operation video into a plurality of anatomical region video clips, processing each anatomical region video clip in an inverted order according to video frame time, carrying out backtracking correction on the position of the mark point according to the path comprehensive correction coefficient of the ith mark point, and realizing cross-frame matching and updating in combination with a memory module, and generating a continuous anatomical path backtracking annotation result. According to the method, a manual complete marking mode is effectively replaced, and the marking accuracy is improved.

The application relates to the technical field of fault prediction, and specifically discloses a reducer fault prediction method and system based on an industrial internet, which comprises the following steps: collecting an output prediction value, input data sequence and time sequence state vector of an old model before an output channel of the reducer fault prediction is switched; mirroring real-time sensor data streams and simultaneously feeding the real-time sensor data streams into the old model and a new model to obtain respective output prediction value sequences; determining a time sequence state fracture interval based on the output prediction value sequences; performing forced alignment and compensation of a time sequence context on the new model; marking the identified time sequence state fracture interval as an invalid sample and performing real performance verification; if the performance of the new model is better than that of the old model, switching the output channel of the fault prediction to the new model; otherwise, starting an abnormal rollback mechanism. The application maintains the stability of a model closed-loop evolution process under an industrial internet environment, and improves the updating efficiency and reliability of a reducer fault prediction model.

The invention provides a text error correction method based on knowledge enhancement, and relates to the technical field of natural language processing, the method comprises the following steps: obtaining an input text statement, and preprocessing the input text statement to obtain main body information of the input text statement; generating a question set based on the subject information and the input text statement, and retrieving fact evidence related to the subject information to obtain an evidence chain; based on the evidence chain, answering the question set to obtain an answer corresponding to the question set; combining the answers with the question set to obtain candidate modifications; and performing loyalty scoring on the candidate modifications, sorting scoring results to obtain a scoring sorting result, and determining a final answer for error correction of the input text statement based on the scoring sorting result. According to the method, semantic drift and insufficient fact check supervision in the text error correction process are effectively avoided, and the accuracy and reliability of text error correction are improved.

The application discloses an UWB error compensation positioning method based on Vegas+ algorithm improvement, relates to the technical field of indoor accurate positioning, and mainly comprises the following steps: obtaining a preliminary sample set by preprocessing original collected data, obtaining a complete sample set by using a VEGAS+ algorithm for secondary sampling, constructing a space error function by using a sparse polynomial to obtain an error model, and performing error prediction and compensation on UWB real-time positioning results to obtain a corrected position signal. The UWB error compensation positioning method based on Vegas+ algorithm improvement can reduce delay and positioning error, and improve long-term stability and environmental adaptability of the system.

The invention provides an image processing method and device, electronic equipment and a medium, and relates to the technical field of image processing.The method comprises the steps that n to-be-processed pixel blocks are determined according to a to-be-processed image, black level correction processing is conducted on the n to-be-processed pixel blocks according to a correction strategy corresponding to each to-be-processed pixel block in the n to-be-processed pixel blocks, and the to-be-processed image is obtained; according to the method, the to-be-processed image is obtained, different correction strategies are adopted for different pixel blocks, insufficient black level correction of the to-be-processed pixel blocks of the dark part in the to-be-processed image is prevented, excessive black level correction of the to-be-processed pixel blocks of the bright part is also prevented, and therefore it is guaranteed that the processed image has a good display effect.