6424results about How to "Save human effort" patented technology

The invention discloses a server equipment location positioning method and device, a server and a medium, and relates to the technical field of server configuration. The method is applied to a server board card, and comprises the following steps: acquiring field replaceable unit information on external equipment to obtain corresponding silk-screen information lists when slots on the external equipment are connected with different channels of a switch, and determining case silk-screen positions of the slots on the equipment according to the silk-screen information lists; determining a communication bus interface correspondingly connected with each slot on the external equipment from a preset corresponding relation list according to connector identification information transmitted by the mainboard through the connector; equipment information of a processing device on a mainboard is obtained through in-band scanning, and then entity information of server equipment under current configuration is constructed by utilizing the equipment information, information of a case silk-screen position and information of a communication bus interface so as to position the server equipment. Through the technical scheme of the invention, various server configurations are compatible, and the server equipment can be automatically identified and positioned.

The utility model discloses a photovoltaic module glass feeding device. The feeding station is arranged on one side of the rack and used for jointly placing photovoltaic module glass and pallets, the conveying line is used for conveying the photovoltaic module glass, the partition paper placing position is arranged on the outer side of the feeding station, and the pallet placing station is arranged on the inner side of the feeding station and used for stacking the pallets in a concentrated mode. The first carrying mechanism is arranged above the feeding station and the pallet placing station and is used for carrying pallets; the second carrying mechanism is arranged above the feeding station and the partition paper placing station and is used for carrying glass partition paper; and the two manipulators are arranged on two sides of the conveying line and are used for carrying photovoltaic module glass. The problem that the production takt of a production line is affected due to the fact that time for manually taking the pallets for multiple times is long is solved, the pallets can be automatically and intensively placed, the operation process of intensively placing the pallets is simple, the operation time is short, manpower is saved, and the production efficiency of the production line is improved.

The invention discloses a chronic disease follow-up visit and management platform driven by a large model, and relates to the technical field of medical information technology platforms. The system is applied to managing and tracking the follow-up visit process of chronic disease patients and providing health consultation and answers, and comprises a user interface module, a logic control module, a database module, a large model module and an auxiliary function module, and the user interface module is used for providing an interactive interface between a patient and a doctor. An intelligent and efficient system platform is constructed by integrating a large model technology, a voice recognition technology and a digital human technology, the system platform adopts a privatized large model, data security and privacy protection are ensured, medical institutions are allowed to autonomously optimize and control the application of the model, and on the whole, through an advanced technical means, the intelligent and efficient system platform has the advantages of being high in practicability and easy to popularize. Refining, individuation and high efficiency of chronic disease management are remarkably improved, and the purpose is to improve the health outcome and life quality of patients.

The invention discloses a container damage information detection counting method based on yolov9 and DeepSort, and the method comprises the steps: collecting the data of a container through a camera, inputting the obtained container data into a trained target detection model and a semantic segmentation model, converging the results of the two models, and transmitting the results to a related system for the next operation. The automatic detection of the damaged position and category information and the accurate statistics of the container throughput are completed. The invention provides a comprehensive and effective method which can be applied to improving the efficiency and quality of container management.

According to the model virtualization deployment method and device, the storage medium and the computer equipment provided by the invention, after the target model selected by the user under the at least one model version of the at least one type created in advance is obtained, the reasoning framework and the at least one resource used when the target model is deployed can be determined firstly; creating a corresponding number of virtual instances according to the number of resources used when the target model is deployed, binding the virtual instances with a specified pod in the k8s service configured under the resources of the corresponding specification, and deploying the target model to the specified pod; in the process, the resources required by the model reasoning service are divided into different specifications in advance, the resources of each specification are configured with one k8s service, and each k8s service comprises a plurality of pods, so that a user only needs to select the resources of the corresponding specification according to the size of the model when deploying the model, and then the model can be deployed to the specified pods; and automatic deployment of the model is realized.

The invention discloses a data quality problem deep analysis and traceability system and method, and relates to the technical field of data processing, and the system comprises a data collection module, a data monitoring module, a knowledge graph construction module, a machine learning analysis module and a traceability analysis module. According to the system, the data is closely connected with the business knowledge, the source and the processing flow through the data association network constructed based on the knowledge graph technology, when a data quality problem occurs, the source and the propagation path of problem data can be rapidly tracked in the complex knowledge graph, and meanwhile, the data quality is improved. According to the abnormal data association analysis driven by machine learning, the internal relation between the seemingly isolated abnormal data can be mined, the whole view of the data quality problem is presented from the global perspective, the defect that the potential systematic problem is ignored due to the fact that only single-point anomaly is processed is avoided, and the data quality problem can be fundamentally solved.

The invention relates to a seeding device and an air pressure type high-speed precision seed-metering device and a seed cleaning device and method thereof, the seeding device comprises the air pressure type high-speed precision seed-metering device, the seed-metering device comprises the seed cleaning device, the seed cleaning device comprises a seed cleaning mechanism, the seed cleaning mechanism comprises a seed cleaning rotating arm and a plurality of elastic wheels, one end of the seed cleaning rotating arm is pivoted with a shell of the seed-metering device, and the other end of the seed cleaning rotating arm is pivoted with the shell of the seed-metering device; the plurality of elastic wheels are sequentially mounted at the other end of the seed cleaning rotating arm, and the distances between the edges of the plurality of elastic wheels and the centers of the seed metering holes are respectively adjustable and are sequentially increased or decreased; the seed cleaning adjusting mechanism comprises a rotating motor and an adjusting arm, the rotating motor is mounted in the seed-metering device shell, and two ends of the adjusting arm are respectively connected with the seed cleaning rotating arm and a transmission shaft of the rotating motor; wherein the rotating motor is connected with the controller, and the controller controls the rotating motor to drive the adjusting arm to drive the seed cleaning rotating arm to adjust the distance between the edge of the elastic wheel and the center of a seed metering hole of the seed metering disc in real time according to a detected seed feeding signal so as to ensure normal seed metering. The invention further correspondingly provides a seed cleaning method.

The invention discloses a clearance monitoring method and device for hoisting of a rotor of a hydro-generator, and relates to the field of hydro-generators, and the method comprises the following steps: moving the rotor to a position right above a stator machine pit, and preliminarily aligning the center of the rotor and the center of a stator; first distances between the stator and the rotor are collected, when any first distance is smaller than a preset value, hook falling is stopped, and the center of the rotor is adjusted until the rotor descends to the preset calibration position of the stator; and collecting a first distance and a second distance between the stator and the rotor, calculating a minimum real-time distance between the rotor and the stator, and when the minimum real-time distance is smaller than a preset value, adjusting the center of the rotor and then continuing to drop the hook until the rotor drops onto a rack brake in a stator machine pit. According to the method, the gap in the rotor hoisting process can be monitored, and the current minimum distance between the rotor and the stator is calculated according to the monitoring result, so that the judgment accuracy is enhanced, the manpower is greatly saved, and the operation risk of personnel is avoided.

The invention provides a hilly and mountainous area tracked vehicle intelligent chassis system and algorithm based on environmental perception and road surface recognition, and belongs to the technical field of agricultural mechanical equipment. The system comprises a mechanical structure part and a control system part. According to the algorithm, multi-modal sensing and fusion decision making of the mobile terminal are achieved, the FPN + ResNet50 algorithm, the IPM image inverse perspective algorithm, the 3D sparse convolutional graph neural network, the TSDF truncation signature distance algorithm, the MDU algorithm, the gating modal sensing convolutional network and the Pi-Sigma fuzzy neural network learning algorithm are innovatively combined, the recognition precision and the decision making reliability are guaranteed, and meanwhile, the fusion decision making efficiency of the mobile terminal is improved. And the calculation amount and the calculation cost are reduced, and the recognition efficiency is improved, so that more accurate, timely and reliable recognition perception and feedback control are realized. The algorithm comprises the steps of image acquisition, image feature extraction, feature fusion, feature comparison and the like, and the method is not only suitable for field operation of tracked vehicles in complex hilly and mountainous areas, but also suitable for transfer driving of the tracked vehicles in a working environment.

The invention provides a large language model vertical field multi-task objective question evaluation set automatic generation method, and relates to the technical field of artificial intelligence, and the method comprises the steps: for each text in a vertical field plain text data set, according to a plurality of preset task types, calling a problem solver to carry out task suitability discrimination on the text, and obtaining a task suitability discrimination result; when the judgment result is appropriate, generating at least one initial objective question stem of the task type; performing ambiguity detection on the initial objective question stem, and calling a question solver to rewrite the ambiguous initial objective question stem to obtain a rewritten objective question stem; and finally, calling a question solver to generate corresponding objective question options, objective question answers and objective question answer analyses for each rewritten objective question stem, and taking the objective question options, objective question answers and objective question answer analyses as an objective question evaluation set of a corresponding task type. By means of the method and device, the problems that in the prior art, time and labor are consumed in the large model evaluation dataset construction process, and automatic generation of the evaluation dataset in the specific vertical field cannot be achieved are solved.

The laser cutting machine comprises a machine frame, a shell is arranged on the machine frame, a discharging table is arranged at the position, below the shell, of the machine frame, the interior of the discharging table is divided into a material preparation station and a machining station, the machining station is located in the shell, and the material preparation station is located on the outer side of the shell; the discharging table comprises two supporting frames, a first sliding rail and a second sliding rail are arranged on the opposite sides of the supporting frames, the first sliding rail is located above the second sliding rail, the auxiliary table is connected to the second sliding rail in a sliding mode, the workbench is connected to the first sliding rail in a sliding mode, rollers are arranged at the bottom of the workbench and the bottom of the auxiliary table, and the rollers are connected to the first sliding rail and the second sliding rail in a sliding mode. The workbench has the advantages that the occupied area of the workbench is reduced, and the machining efficiency is not affected.

The invention provides a wafer surface defect detection method and device based on machine vision and a storage medium. Firstly, a linear array industrial camera is used for carrying out image collection on the surface of a wafer, and original image data of the wafer are obtained after synthesis; carrying out image preprocessing, and carrying out image enhancement and feature extraction on the image; because the gray values of the defects and the background are different, threshold segmentation is carried out by using a binarization method to obtain a defect set of the wafer. Classifying and detecting defects, wherein the defects include but are not limited to scratches and particles; preferentially extracting defect subsets with obvious defect features, and removing the defect subsets from the overall defect set; then, searching scratch defects, wherein particle defects are obtained after all other defects are removed; the pixel coordinate positions of various defects are taken as the reference, and the defects are represented on the Map by using different colors. The algorithm designed by the invention is high in recognition precision, high in speed and high in adaptability, and manpower is greatly saved.

The invention discloses a dam rolling construction quality monitoring method and system, and relates to the technical field of intelligent construction monitoring. The method comprises the steps that a first position corresponding to a construction vehicle is obtained, and it is determined that the construction vehicle arrives at a to-be-rolled area according to the first position; after it is determined that the construction vehicle works in the to-be-rolled area, operation data corresponding to the construction vehicle are obtained; the operation data are input into a preset BIM engineering model to be processed, and the rolling thickness is obtained; obtaining target movement track data corresponding to the construction vehicle, and analyzing the target movement track data to obtain the number of rolling times; and when the rolling thickness is inconsistent with the preset rolling thickness and the number of rolling times is inconsistent with the number of preset rolling times, it is determined that the to-be-rolled area is in a rolling quality abnormal state, a first rolling scheme is generated according to the rolling quality abnormal state, and the first rolling scheme is sent to the target user. By implementing the technical scheme provided by the invention, the monitoring efficiency of the dam rolling construction quality can be remarkably improved.

The invention relates to the technical field of traction motor coil machining, and particularly discloses full-automatic coil paint dipping equipment which comprises a base, supporting legs are fixedly installed at the four corners of the top of the base, a fourth motor is used for driving a driving gear, and a guide roller is made to rotate through linkage of an outer gear ring, a driven gear, a rotating shaft, a synchronous belt and a synchronous wheel; the situation that the clamping position cannot make contact with paint liquid is avoided, the paint liquid shakes more uniformly, drying is more uniform through rotation of the stator during drying, meanwhile, the paint liquid is heated through an electric heating coil pipe, fluidity can be improved, bubble discharging and chemical reaction are facilitated, and the paint dipping effect is improved, and a sixth motor drives a power gear to make an inner gear ring rotate. The stirring plate directly stirs paint liquid, the guide plate enables the paint liquid to roll up and down, the paint liquid efficiently flows and can make better contact with a coil, the paint dipping quality is improved, the design is matched with one another, the paint dipping and drying process is optimized from multiple aspects, and the product quality is guaranteed.

The invention discloses a high-temperature superconducting Tokamak cold shield assembly assembling system and method. The high-temperature superconducting Tokamak cold shield assembly assembling system comprises a positioning assembly, a welding assembly, a supporting frame, supporting legs, a locking mechanism and a driving mechanism. The invention relates to the technical field of welding tools. According to the high-temperature superconducting Tokamak cold shield assembly assembling system and method, the supporting frame is arranged to be installed around the lower-layer high-temperature superconducting Tokamak cold shield, the positioning assembly and the welding assembly can be placed on the supporting frame in sequence, and the positioning assembly can abut against the lower-layer high-temperature superconducting Tokamak cold shield by half; the high-temperature superconducting Tokamak cold shield suspended on the upper layer to be put down is positioned and guided, it is guaranteed that the high-temperature superconducting Tokamak cold shield can be accurately in butt joint with the high-temperature superconducting Tokamak cold shield on the lower layer, and then the problem that butt joint dislocation of the heavy high-temperature superconducting Tokamak cold shield is difficult to adjust is solved. And after the positioning assembly is taken down, the welding assembly is replaced, the welding assembly can be driven by the driving mechanism to rotate around the high-temperature superconducting Tokamak cold shield along the supporting frame for welding, and manpower is saved.

The invention discloses a geological mineral exploration device and an exploration method, and particularly relates to the technical field of geological exploration. Mining area data are collected in a plurality of preset time periods, and data analysis is performed in each period, so that whether an early sign of insufficient data quality exists or not is judged; if a quality problem is found, feature analysis is further carried out, and the precision level and the coverage degree of the data are evaluated; dividing a data acquisition period into a high-quality period and a low-quality period according to an evaluation result; for a low-quality acquisition period, resampling or supplementary acquisition is executed, so that the data precision and coverage rate are improved, and the integrity and accuracy of exploration data are ensured; according to the method, through multi-level evaluation of the precision index and the coverage rate index, the quality problem in data collection can be identified in time, multiple times of correction processing are carried out, the precision and the coverage rate of the collected data are remarkably improved, and it is ensured that the collected data can accurately reflect the real geological condition of a mining area.

The invention discloses a health assessment and life estimation method for a sludge dewatering machine, and belongs to the field of equipment health assessment and prediction. Comprising the following steps: acquiring operating data such as temperature and vibration of each key part of equipment and working data such as cumulative processing amount from a sludge dewatering machine monitoring system, and extracting a total feature set of the operating data after preprocessing by a one-dimensional convolutional neural network and a stacked denoising auto-encoder; and then inputting a scoring model formed by two self-organizing mapping neural networks to carry out health scoring. And merging the total feature set and the working data, inputting the merged total feature set and working data into a feed-forward neural network life estimation model based on genetic algorithm optimization, and finally carrying out residual life estimation by adopting an FNN (Feedforward Neural Network) of an optimal hyper-parameter combination. The influence of multiple parameters on the health state of the sludge dewatering machine is considered, and the evaluation accuracy is improved; the intelligent level of equipment management of a current sewage treatment plant can be effectively improved, the problems of under-maintenance, over-maintenance and the like are avoided, and the purposes of reducing cost and improving efficiency are achieved.

The invention discloses a vibration type wolfberry picking and collecting integrated device, and relates to the technical field of wolfberry picking and collecting, the vibration type wolfberry picking and collecting integrated device comprises a picking head, a driving device, a receiving disc, a collecting device and a conveying pipe, the picking head is used for generating mechanical vibration and driving branches to vibrate; the driving device drives the picking head to generate mechanical vibration; the receiving disc is provided with a blanking port and arranged on one side of the picking head, the picking head is connected with the receiving disc, and the receiving disc is located under the picking head in a picking state; the collecting device is used for collecting wolfberries; one end of the conveying pipe is connected with the bottom of the receiving disc and communicated with the blanking port, and the other end is connected with the collecting device. The device can improve the collection efficiency and the quality of picked Chinese wolfberries.

The invention relates to green low-carbon functional inorganic rock coating artistic effect paint and a preparation method thereof, and belongs to the technical field of paint. The waterborne epoxy resin emulsion is modified, the aminated calcium carbonate and the modified carboxymethyl cellulose are introduced, and multiple components act together, so that the adhesion level is effectively improved, and good salt fog resistance and aging resistance are obtained.

The utility model relates to the field of fermentation, in particular to a self-cleaning feed fermentation tank which comprises a tank body, a water tank and a reciprocating rotating mechanism, the water tank is arranged on one side of the tank body, and the right side of the tank body is fixedly connected with a drainage pipe; the reciprocating rotating mechanism is arranged at the top of the tank body and comprises a first bracket, a vertical shaft, a straight water pipe and a nozzle; the first support is fixedly connected to the interior of the tank body, the vertical shaft rotationally penetrates through the first support through a bearing, the straight water pipe is fixedly connected to the interior of the vertical shaft and penetrates through the top of the vertical shaft, the number of the nozzles is three, and the three nozzles are fixedly connected to the exterior of the vertical shaft and communicate with the straight water pipe; the first support is arranged to provide supporting force for the vertical shaft, the electric telescopic rod drives the movable plate to move left and right, the movable plate moves left and right to drive the nozzle to rotate left and right in a reciprocating mode, water is sprayed back and forth to the inner wall of the tank body for flushing, and therefore manual flushing of the tank body can be replaced, and manpower is saved.

The invention relates to the field of water pump sorting unmanned vehicles, in particular to full-automatic sorting unmanned vehicle equipment which comprises an unmanned vehicle body, and the upper end of the unmanned vehicle body is fixedly connected with a sorting frame; the automatic sorting mechanism comprises a rotating shaft rotationally connected to the side wall of the sorting frame, a swing rod is fixedly connected to the side wall of the rotating shaft, a sliding groove is formed in the side wall of the swing rod, a sliding block is slidably connected to the inner wall of the sliding groove, a pin shaft is fixedly connected to the side wall of the sliding block, and a grabbing rod is rotationally connected to the side wall of the pin shaft; the lower end of the grabbing rod is fixedly connected with an electric suction cup, a groove is formed in the side wall of the sorting frame, the inner wall of the groove is slidably connected with a U-shaped block, and the side wall of the grabbing rod is slidably connected with the inner wall of the U-shaped block. Goods can be quickly sorted and placed on the unmanned vehicle body, the whole process is automatic, manual interference is not needed, the sorting efficiency is higher, manpower is saved, the adopted mechanical structure is low in failure rate and low in manufacturing cost, and the unmanned vehicle is suitable for small and medium-sized enterprises.

The invention provides a multifunctional digging and tamping machine integrating digging, shoveling, tamping and humidifying. The multifunctional digging and tamping machine comprises a small arm, a large arm and a digging machine body. According to the multifunctional digging and tamping machine integrating digging, shoveling, tamping and humidifying, the high-strength steel bucket is modified and customized, the bottom plate of the bucket is arranged to be a tamping plate, and the attached vibrator is additionally arranged, so that the digging and tamping functions are achieved, the bucket can be rotated by 360 degrees through the top end rotating device to form a bucket, construction at any angle such as front shoveling, side shoveling and inclined shoveling is conducted, and the construction efficiency is improved. A water tank, a water pipe and a spray head are additionally arranged, the water content of backfill soil can be adjusted in time to achieve the optimal tamping effect, well chamber periphery backfill and tamping construction can be conducted, the power of an attached vibrator is large, a hydraulic telescopic rod is convenient to operate, the tamping effect is good, a square tamping plate can conduct all-directional tamping by being attached to the edges and the corners, construction operation is mechanized, time and labor are saved, and the construction efficiency is improved. Construction of four working procedures can be completed at the same time only by one person, a large amount of manpower is saved, the construction quality is improved, and cost reduction and efficiency improvement are achieved.

The invention relates to building structure monitoring, in particular to a monitoring device for health of a large-span building structure and an Internet of Things system. Which comprises an unmanned aerial vehicle and a monitoring server, and is characterized by further comprising a passive sensor and a reading transmission module, and the passive sensor is used for collecting state information of a building structure and wirelessly uploading the state information to the reading transmission module; the reading transmission module wirelessly uploads the state information of the building structure to the monitoring server. According to the invention, the RFID is combined with the sensor, so that the wiring work is omitted, and the workload of implementation and maintenance is greatly reduced; data are obtained through automatic cruise of the unmanned aerial vehicle, labor is saved, and punctual data are obtained; the Internet of Things is further wireless, the sensor at the tail end supplies power and obtains data in an RFID wireless mode, the most tedious wiring work is omitted, and arrangement and compensation of the Internet of Things sensors are facilitated.

The utility model provides a photovoltaic module wire box cover material preparation device and a cover covering machine, and relates to the technical field of cover covering equipment. The photovoltaic module wire box cover material preparation device comprises a vibration disc and a cover turning driving mechanism. The vibration disc is used for containing the wire box cover, and the vibration disc is made of a flexible material or a protection layer made of the flexible material is arranged on the inner side wall of the vibration disc. The output end of the cover turning driving mechanism is connected with the vibration disc, and the cover turning driving mechanism is used for driving the vibration disc to vibrate so that the wire box cover in the vibration disc can be turned over. According to the photovoltaic module wire box cover material preparation device, the cover turning driving mechanism drives the vibration disc to vibrate so that the wire box cover can be turned over, and therefore it can be guaranteed that the front face of the wire box cover is back to the box opening of the box body in the follow-up cover covering process, and the cover covering success rate is increased; and the photovoltaic module wire box cover material preparation device can protect the wire box cover through the vibration disc made of the flexible material or the protection layer made of the flexible material, so that the wire box cover is prevented from being damaged.

According to the black light wet process laboratory intelligent operation system and the intelligent operation method provided by the invention, the system comprises the order arrangement system and the scheduling system, an experimenter only needs to prepare and take materials, other operations are all executed by the order arrangement system, the scheduling system and the experiment robot, so that manpower is liberated to a great extent, and the working efficiency is improved. Therefore, experimenters can put more energy into scientific research work, and the operation safety of the experimenters is improved. Compared with manual scheduling and manual experiments, the scheduling method and system not only can perform efficient scheduling through the scheduling system, but also can cope with flexible and changeable process scenes in a mode of modifying related algorithms, and can also guarantee efficient utilization, stability and safety of equipment.

The invention provides a deep V-shaped ceramic matrix composite component forming device and method. The forming device comprises a bottom die, an outer die and an inner die. The outer die is connected to the bottom die; the inner mold is connected to the bottom mold, and the bottom mold, the outer mold and the inner mold are encircled to form a cavity for forming the deep V-shaped ceramic matrix composite component; wherein the inner die comprises a V-shaped main body die and a plurality of small-section dies connected to the V-shaped main body die, the plurality of small-section dies are arranged in the narrow opening position and are sequentially connected in the length direction, and the plurality of small-section dies are provided with die drawing angles in the length direction. The deep V-shaped ceramic matrix composite component can be formed and prepared, and demolding is convenient.

The invention relates to a control rod drop function availability automatic test method and a DCS system, and the method comprises the steps: receiving a test start instruction, entering a test mode, and in the test mode, obtaining the test sequence of each test rod group, and the measurement rod position and the counting rod position of a control rod; sending a bar moving instruction to the current test bar group; after the control rod action of the current test rod group is completed, the counting rod position is consistent with the target rod position, and the change of the measuring rod position of the control rod is detected; judging whether the change of the measurement rod position of the control rod accords with a preset threshold value; and if yes, judging that the control rod drop function availability test of the current test rod group is qualified. According to the invention, the availability test of the rod falling function of the control rod is changed from the traditional manual operation to the automatic test, so that the loss caused by human errors is effectively avoided; time consumed by the whole test is shortened, manpower is saved, and test execution efficiency is improved; and automatic checking is carried out, and a test result is given, so that human errors caused by long manual checking time are avoided.

The invention belongs to the technical field of motor assembling equipment, and particularly relates to top cover wire assembling equipment which comprises a rack. The material moving device is mounted on the rack and is provided with a plurality of stations; the positioning device is mounted on the material moving device; the wire frame device is mounted on the material moving device; the jacking device is mounted on the rack or the material moving device; the locking device is mounted on the rack; the discharging device is installed on the rack and located beside the material moving device. A top cover and an electric wire are positioned through the positioning device and the wire frame device, the positioned top cover and the positioned electric wire are transferred to the locking device through the material transferring device, the electric wire is straightened through the jacking device, a nut is tightened to the top cover through the locking device, and installation of the electric wire is completed. The blanking of the product is realized through the blanking device; a mechanical production mode is adopted to replace traditional manual nut tightening operation, the production efficiency is improved, manpower and time are saved, the nut tightening quality is ensured, and the product percent of pass is increased.

The invention belongs to the technical field of annealing equipment, and particularly relates to online stress relief annealing equipment and method for copper alloy stamping parts. The online stress relief annealing equipment comprises an annealing furnace, a hot air circulating fan fixed to the surface of the annealing furnace and a conveyor placed at the feeding end of the annealing furnace; the device is provided with the feeding assembly, copper alloy stamping parts can be rapidly and efficiently transferred and clamped, feeding operation can be completed under the condition that workers do not need to make direct contact with high-temperature parts, direct contact between the workers and the high-temperature copper alloy stamping parts is completely avoided, the skin scalding accident is fundamentally eradicated, and the working efficiency is improved. According to the feeding device, feeding operation can be conducted continuously, so that the production efficiency of the whole stress relief annealing process is improved, the continuity of the production process is ensured, feeding errors caused by fatigue, inattention and the like of workers are eliminated, seamless connection with stress relief annealing equipment can be achieved, and the whole machining process is smoother.

The invention discloses a work order auditing management method and system based on a large language model and a medium. The method comprises the steps of receiving input and correspondingly matching a work order auditing rule; based on the matched work order auditing rule, analyzing and processing the input through a large language model NLP, and converting the input into a natural language rule; carrying out synonym and antonym conversion on input white words, and carrying out equal rule conversion on converted words based on a corpus word library; performing rule text and code conversion on the converted natural language rule; and carding the processed rules into SQL statements which can be identified by the system according to the fields and the judger rule base. Updating the rule knowledge base; and writing the processed SQL statements which can be identified by the program into a rule knowledge base. According to the method, non-technical personnel can adjust and modify the work order information verification rule by using a natural language by using a large language model technology, so that the intelligent level of a work order system is enhanced, the development cost of the system is reduced, the auditing efficiency of a work order process system is improved, and the method has relatively good practicability.