1335results about How to "Save human resources" patented technology

The invention provides a 500kV GIS multi-mode working condition abnormity comprehensive monitoring system and method based on voiceprint recognition. A data acquisition module is used for collecting multi-mode original data from various sensors and devices; the network transmission module is used for transmitting the data to the voiceprint scoring module and the multi-modal analysis module through a network; the voiceprint scoring module is used for extracting sound features from the multi-modal original data, comparing the sound features with a preset voiceprint model, and giving a similarity or anomaly score; the multi-modal analysis module is used for comprehensively analyzing data from different modals, fusing various data and performing data analysis and pattern recognition by applying a deep learning algorithm; the fault judgment module performs fault detection and diagnosis by applying a preset rule or model based on an analysis result of the multi-modal analysis module, and judges whether the system or the equipment has a fault or not; and the result output module is used for displaying the final analysis and judgment result in the form of a chart, a report or an alarm.

The invention discloses a real-time fault early warning method and device based on environment monitoring, a terminal and a storage medium, and belongs to the field of environment monitoring, and the method is applied to an environment monitoring network, and comprises the steps: obtaining the number information of a plurality of sensors, and grouping the plurality of sensors according to the number information and a preset grouping standard; environment parameter data collected by all sensors in each group are obtained, the working state of each group is monitored, and when an abnormal signal of any group is received, early warning response judgment is carried out according to the abnormal signal; when the number of the abnormal signals of the single group is not smaller than a preset signal threshold value, historical environment parameter data collected by each sensor in the corresponding group are obtained, and a dynamic baseline model is established according to the historical environment parameter data and the real-time environment parameter data; and according to the real-time environment parameter data and the dynamic baseline model, a fault analysis result is generated in combination with a preset parameter threshold. According to the method provided by the invention, a multi-level fault early warning response mechanism is introduced, accurate identification of different degrees of faults in the environment monitoring system can be realized, a targeted response strategy is adopted, unnecessary human resources are saved, and the processing efficiency of the monitored environment faults is improved.

According to the 20KV electric brake switch multi-mode working condition abnormity comprehensive monitoring system and method based on voiceprint recognition, all internal faults of a 20KV generator brake switch are monitored online in real time through the voiceprint recognition technology, and the industry blank of real-time online monitoring of the 20KV generator brake switch is filled up; a voiceprint collector, a temperature sensor, a vibration sensor, an SF6 gas monitoring device, a position node relay and the like are installed in a proper area, and multi-modal data are integrated into the same system, so that comprehensive analysis of the working condition of the 20KV generator brake switch is realized; and deep learning and fault judgment process logic design are carried out on each data parameter, so that the multi-mode working condition abnormity comprehensive diagnosis of the 20KV generator brake switch is realized, and the timeliness of working condition abnormity or fault judgment of the 20KV generator brake switch equipment is greatly improved.

The invention discloses a storage battery remote capacity checking method, system and equipment, and the method, system and equipment are executed through a remote capacity checking main control module in a storage battery remote capacity checking system, the remote capacity checking main control module establishes communication with a remote management platform, and is connected with an inversion compensation grid-connected module in the storage battery remote capacity checking system; comprising the following steps: controlling a storage battery to discharge a direct-current electricity load based on a capacity checking discharge instruction issued by a remote management platform; acquiring an actually measured current value in the discharging process of the storage battery, and determining a current difference value between the actually measured current value and the reference current value; if the absolute value of the current difference value is greater than a preset threshold value, the storage battery is discharged through an inversion compensation grid-connected module for current compensation; when it is detected that the discharge end condition of the storage battery is met, checking the capacity of the storage battery to obtain a capacity checking result of the storage battery; the discharge current of the storage battery can be stably maintained in the precision range of the reference current value in the storage battery capacity checking process so as to meet the relevant regulation requirements of capacity checking discharge of the storage battery.

The invention relates to the technical field of automatic cutting and receiving equipment, and discloses intelligent connection equipment for strip-shaped products and a connection method of the intelligent connection equipment. The intelligent connection equipment for the strip-shaped products is provided with a rack, and a discharging module, an automatic receiving module, a small buffering module and a control system for controlling the whole equipment to operate are sequentially arranged on the rack along a product advancing route. The automatic material receiving module comprises a welding moving platform, and a laser module, a tailing clamping jaw, a waste clamping module, a material stabilizing module, a driving wheel module and a reversing guide wheel are sequentially arranged on the welding moving platform along a product advancing route. The connection equipment is high in automation degree, intelligent identification and parameter switching can be carried out on different products, meanwhile, automatic connection quality detection and automatic reconnection after NG can be achieved, a production line is not stopped, and the efficiency is improved by 80%; after the products are automatically connected, the head and tail loss of the products is reduced; the joint removing procedure and cost of a rear-end automatic machine are reduced; meanwhile, human resources are saved.

The invention belongs to the technical field of bridge damage identification, and relates to a bridge structure intelligent damage identification method based on a physical information neural network, which comprises the following steps: 1, acquiring spatial relation data of a bridge structure, 2, acquiring real-time data, 3, preprocessing the data after the data is acquired, 4, performing hyper-parameter adjustment, 5, constructing a model, 6, carrying out model training and evaluation; 7, carrying out early warning and repairing scheme matching; the health state of the bridge can be monitored in real time, data support can be provided for future maintenance and repair, the safety of the bridge is improved, and the service life of the bridge is prolonged; therefore, a novel efficient tool is provided for bridge health monitoring and damage assessment through a unique data and physical driving method, an efficient and intelligent bridge monitoring and assessment system is constructed, and the safety and maintenance efficiency of the bridge are improved.

The invention provides an air bubble film bag production line and a method thereof, and relates to the technical field of air bubble film production equipment.The air bubble film bag production line comprises an air bubble film production assembly, a first buffering assembly, a second buffering assembly, a before-folding transition assembly, a folding assembly and a pressing and cutting assembly which are sequentially connected; the bubble film production assembly comprises a bubble forming part, the bubble forming part comprises a bubble roller body, a water through hole is formed in the center of the bubble roller body, and a plurality of vent holes are formed in the circumference of the bubble roller body. The air bubble film production device has the beneficial effects that the air bubble film production assembly is linked with the folding assembly and the pressing and cutting assembly, air bubble films produced by the air bubble film production assembly can be input into the folding assembly and the pressing and cutting assembly in diameter for production of air bubble film bags, and the situation that the air bubble films are rolled into packages is avoided; and the rolled air bubble film is mounted on the air bubble film bag production equipment, so that the production efficiency of the air bubble film bags is greatly improved, and human resources of a production workshop are saved.

The invention relates to the technical field of detection platforms, in particular to a detection platform based on machine vision, which comprises a detection platform, a support frame is arranged at the top of the detection platform, a clamping adjusting assembly is arranged on one side of the support frame, a lifting assembly is arranged at the bottom of the detection platform, and a position adjusting assembly is arranged at the top of the support frame. A second motor drives a two-way threaded lead screw to rotate through a corresponding structure, the two-way threaded lead screw drives two movable plates to move oppositely along a first sliding rod, and after the two movable plates move to a proper position, two clamping plates are driven by a clamping air cylinder to move oppositely to clamp a workpiece; a first lead screw drives a clamped workpiece to rise through a first sliding table, a third motor drives a first rotating shaft to rotate, the first rotating shaft rotates through a clamping air cylinder on a mounting plate, the clamping air cylinder drives the workpiece to turn over through a clamping plate, the workpiece does not need to be turned over manually, a large amount of manpower resources are reduced, a large amount of time is saved, and the work efficiency is improved. And the working efficiency is improved.

The invention discloses a pantograph structure abnormity real-time detection method and system, and the method comprises the steps: obtaining a pantograph image in a video stream of a bullet train in real time, and inputting a pantograph target detection model; performing target detection on the pantograph by adopting a target detection algorithm, and if an abnormal state occurs, triggering an alarm; if the abnormal state does not occur, performing picture cutting on the pantograph region bounding box to obtain a pantograph body region image; inputting the pantograph body area image into a pantograph key point detection model; and detecting the structure of the pantograph by adopting a key point detection algorithm, and if the structure is abnormal, triggering an alarm. According to the method and the system, target detection is carried out on the pantograph body and the abnormal state, and a rapid and accurate result is provided for detection and attitude matching of the pantograph key point.

The invention discloses a bearing vibration signal processing model construction method, a model and a signal classification method, which are used for constructing time domain and frequency domain loss functions by calculating a plurality of feature vector distances so as to train an encoder. According to the method, by minimizing the difference value of different distances in the time domain and frequency domain loss functions, an encoder can be guided to extract similar feature representations in signals, so that the similar feature representations are gathered in a feature space, and dissimilar features are separated. When a trained encoder (a convolutional neural network with an attention mechanism) processes a vibration signal of an unknown fault type, some feature representations in the signal are different from those of other signals, so that the feature representations are gathered in a feature space and are far away from the feature representations of other signals, and the fault detection accuracy is improved. Therefore, the recognition of the vibration signal of the unknown fault type is effectively realized.

The utility model discloses a concrete interlocking block forming device which comprises a base, a supporting column is fixedly connected to the left side of the top of the base, a supporting plate is fixedly connected to the top of the supporting column, a stirring barrel is arranged at the top of the supporting plate, and feeding ports are fixedly connected to the left side and the right side of the top of the stirring barrel. A rotating motor is fixedly connected to the center of the top of the stirring barrel, the bottom of the rotating motor penetrates through the stirring barrel and is fixedly connected with a rotating shaft, stirring rods are fixedly connected to the left and right sides of the rotating shaft, and scrapers are fixedly connected to the outer sides of the stirring rods. Through cooperative use of the stirring barrel, the rotating motor, the stirring rod, the discharging hose, the belt, the vibration motor, the vibration spring and the forming die, the forming device has the advantages that automatic operation of the forming device is facilitated, manual operation is not needed, manpower resources are saved, and working efficiency is improved; and the vibration motor enables the concrete to be dispersed more uniformly in the forming mold, and mold forming is facilitated.

The utility model discloses a heater with a cleaning device, the heater is provided with a heating pipe, the cleaning device comprises a dry ice spraying device, the spraying opening of the dry ice spraying device faces the heating pipe, and the dry ice spraying device is used for spraying dry ice to the heating pipe; the output end of the ultrasonic device faces the heating pipe, and the output end of the ultrasonic device transmits ultrasonic waves into the dry ice medium sprayed by the dry ice spraying device. According to the utility model, stains are cleaned in a manner of spraying dry ice and superposing ultrasonic waves, the dry ice can effectively remove oil stains and impurities at low temperature, chemical solvents are not needed, the environment is not polluted, residues are not generated after sublimation, and the cleanliness of the heater is ensured; and high-frequency vibration of the ultrasonic waves can not only vibrate out stains in gaps of the heater, but also promote the reaction between the dry ice and the stains, so that the cleaning effect of the cleaning device is further improved.

The invention belongs to the technical field of building curtain walls, and particularly relates to a building curtain wall with a cleaning structure, which comprises a curtain wall plate and a water pump, a communicating groove is formed in the curtain wall plate, an inserting pipe is slidably mounted at the bottom of an inner cavity of the communicating groove, a circular groove is formed in the curtain wall plate, and a rotating column is rotatably mounted in the circular groove; an impeller is fixedly mounted on the outer side of the rotating column; the connecting plate can carry the cleaning cotton pad and the scraping plate to reciprocate on the surface of the curtain wall plate to move the surface of the curtain wall plate, so that the surface of the curtain wall plate can be comprehensively and efficiently cleaned, the cleaning operation is greatly facilitated in the process, and the cleaning efficiency of the curtain wall plate is improved. And the defect that in a traditional mode, workers need to climb to the high position to conduct cumbersome and dangerous cleaning on the curtain wall is thoroughly overcome, manpower resources are remarkably saved, the labor intensity is lowered, the investment of material resource cost is greatly reduced, and double improvement of economic benefits and safety benefits is achieved.

The invention discloses a network information intelligent analysis method and system based on a large model, and the method comprises the steps: firstly carrying out the preprocessing of network information, constructing a prompt word template through a multi-step thinking method, and processing the network information; calling the large model to obtain a network information analysis result presented by JSON format data; performing format judgment on the analysis result by using a feedback optimization method, and if the format requirement is not met, repeatedly calling the large model, and updating the network information analysis result; and performing JSON format matching on the analysis result of which the output format of the large model still does not meet the requirement to obtain an analysis result meeting the JSON template. According to the method, emotion analysis can be more accurately carried out on the network information, and the efficiency and accuracy of analysis work are remarkably improved.

The embodiment of the invention provides a coal field fire area gas and particulate matter monitoring method, device and equipment and a storage medium, and the method comprises the steps: carrying out the temperature inversion of thermal infrared remote sensing image data based on a preset temperature inversion algorithm, and obtaining a temperature abnormal region; based on a pre-constructed hyperspectral detection model, performing inversion on the soil moisture data, the chlorophyll content data and the vegetation coverage data to obtain a surface vegetation growth condition; based on the temperature abnormal area and the earth surface vegetation generation condition, a preset judgment model is adopted for judgment, and the fire combustion stage is determined; based on the acquired atmospheric monitoring data, determining a two-dimensional distribution condition of gas and particulate matters in each fire combustion stage; and based on the two-dimensional distribution condition, performing overlay analysis on the atmospheric monitoring data at different heights in the temperature abnormal region to obtain the three-dimensional distribution condition of the gas and the particulate matters. Therefore, the accurate judgment of the combustion condition of the fire area is improved, and the accuracy and reliability of gas and particulate matter monitoring are improved.

The invention relates to a laser cutting-off technology, in particular to a laser bonding wire cutting-off device for chip detection, which comprises a workbench and the like, a fixed block is arranged above the workbench, and the fixed block moves through a first linear module mounted on the top surface of the workbench; a laser cutting device used for cutting off a welding wire is installed on the fixing block, and a datum plate is fixedly connected to the top face of the fixing block. The laser cutting device is provided with wiping blocks and other parts, the vertical positions of the wiping blocks are adjusted through the adjusting part, so that one wiping block can make contact with the bottom face of the lens of the laser cutting device, and when tiny impurities or dust on the lens of the laser cutting device needs to be wiped, the second linear module is started; the second linear module drives the moving block to move, so that one wiping block can wipe the lens of the laser cutting device, wiping can be completed in a laser cutting gap, manual wiping is not needed after each time of use, and time and manpower resources are saved.

The embodiment of the invention provides an LLM-based security report generation method, electronic equipment and a storage medium, and relates to the technical field of large language models. The method comprises the steps that a task library and a tool library are constructed, and after a generation request of a safety report is received, a corresponding task template is matched from the task library according to the generation request; executing the steps in the task template to obtain a corresponding execution result, and if a certain step includes calling the tool in the tool library, constructing a prompt to submit an operation result returned by calling the tool to the big data model to obtain a corresponding description as the execution result of the step; and after all the steps in the task template are executed, constructing a prompt to provide all the obtained execution results to the large language model, and generating a safety report. According to the embodiment provided by the invention, the safety report generation efficiency and standardization are improved.

The utility model relates to the technical field of feeders, in particular to a static weighing continuous conveying feeder control system which comprises a weighing unit and a discharging unit, support units are arranged on the two sides of the outer wall of the top of the weighing unit, and conveying units are arranged in the support units. A plurality of reflection units distributed at equal intervals are arranged outside the conveying unit, two sensor modules are installed on the inner wall of one side of the support unit through bolts, the discharging unit is located above the support unit, and a control unit is installed on the outer wall of one side of the support unit through bolts. When the unloading unit unloads materials, the weighing unit can accurately weigh the materials on the conveying unit, continuous weighing of the feeder in a static state is achieved, an accurate weighing numerical value can be obtained, the accuracy fed back to the control unit by the feeder is improved, the control unit can accurately control the feeder to operate, and the feeding efficiency is improved. And the problems of poor feeding precision and the like during feeding are solved.

The invention discloses intelligent coal blending equipment and method, and belongs to the technical field of coal blending equipment.The intelligent coal blending equipment comprises a lower collecting frame, side baffles are arranged on the two sides of the upper end of the lower collecting frame, an upper collecting frame is arranged at the upper ends of the side baffles, and conveying belts are arranged in the upper collecting frame and the lower collecting frame; a swing uniform laying assembly is arranged at one end of the upper collecting frame and one end of the lower collecting frame, a convenient dust falling assembly is arranged at the upper end of one side of the upper collecting frame, a feeding treatment assembly is arranged at the top end of the upper collecting frame, a filtering and screening assembly is arranged on one side of the feeding treatment assembly, and an excess material box is arranged at the bottom end of one side of the filtering and screening assembly. By arranging the feeding treatment assembly, coal can be crushed, so that the coal can be quickly discharged from a discharging opening, the feeding efficiency is guaranteed, the working quality is improved, large coal blocks are prevented from being blocked, the working stability of the equipment is guaranteed, by arranging the filtering and screening assembly and the vibrating screen plate, the coal is quickly screened and discharged, and the coal blending efficiency is guaranteed.

The invention relates to a cone ring installation structure and method suitable for a 10-150 MW generator, and belongs to the technical field of steam turbine generators, the cone ring installation structure is of a ground bearing type structure, the cone ring installation structure comprises a stand column, a mechanical arm main machine and a clamp structure, the stand column is provided with the mechanical arm main machine, the mechanical arm main machine comprises two mechanical arm joints capable of rotating by 360 degrees, and the lower end of the mechanical arm main machine is connected with the clamp structure; and the conical ring is quickly butted and fixed by using a quick connector on the clamp structure. The operation mode of cone ring assembly is changed into mechanical operation from manual operation, manpower resources are saved, and the assembly precision and the operation efficiency are greatly improved.

The utility model discloses a dust fall spraying device for building engineering construction, which belongs to the technical field of building construction auxiliary facilities and comprises a frame, a support plate is arranged at the upper end of the frame, a water tank is arranged at the upper end of the support plate, a water inlet filter component is arranged in the water tank, and an adjusting device is arranged on one side of the water tank. An angle adjusting assembly is arranged at the upper end of the adjusting device, a mounting plate is arranged at the upper end of the angle adjusting assembly, an atomizing nozzle is arranged at the upper end of the mounting plate, and a positioning mounting assembly corresponding to the adjusting device is arranged in the supporting plate; by arranging the angle adjusting assembly, the horizontal angle of the atomizing nozzle can be adjusted, the dust falling and spraying effect is guaranteed, the use quality of equipment is improved, the working environment quality is guaranteed, the adjusting device can be conveniently disassembled, assembled and replaced by arranging the positioning installation assembly, the use convenience of the equipment is improved, and manpower resources are saved.

The invention discloses an unloading control method, device and system, and relates to the field of control. Based on material weight information of mineral powder loaded by a vehicle loaded with materials, the unloading time is calculated in advance, after it is determined that the vehicle is parked in a parking space of a corresponding unloading hole groove and unloading is started, the pre-calculation time is waited, and the unloading time is shortened; the vehicle residual material state is determined through image detection, and the vehicle is controlled so that the vehicle can conduct sudden entering and sudden braking of the target number of times matched with the vehicle residual material state, so that refined control over residual material discharging can be achieved, the situation that sudden entering and sudden braking control is conducted repeatedly is avoided to a certain degree, and the vehicle residual material discharging efficiency is improved. The residual material state detection is started after the pre-calculation duration, and compared with the scheme of real-time detection in the discharging process, the platform calculation power is saved; in addition, in the unloading process through the unloading device, participation of a driver and factory ground crew is not needed, and manpower resources can be saved.

The invention discloses an optical domain intelligent reconstruction high-integration modular optical fiber data chain and an operation method, and the optical fiber data chain comprises a high-integration optical fiber data chain platform based on an all-optical switching and electro-optical / photoelectric conversion dense array. The platform comprises an intelligent main control computer, an electro-optical conversion dense array card, a high-integration VPX standard case, a photoelectric conversion dense array card and a high-integration all-optical switching matrix board card. The electro-optical conversion dense array card and the photoelectric conversion dense array card are connected with the high-integration VPX standard case, and the high-integration VPX standard case is connected with the high-integration all-optical switching matrix board card; the intelligent main control computer is connected with the high-integration VPX case through an Ethernet interface; and the optical fiber data link platform realizes optical domain intelligent reconstruction of a high-integration modularized optical fiber data link based on a high-isolation all-optical switching technology under the control of the main control computer. The system has the advantages of being good in intelligent degree, high in integration degree, high in reliability, good in universality, extensible, replaceable, upgradable and easy to operate.

The invention discloses an automatic dividing method, device and equipment for rotation irrigation groups and a medium. The method comprises the following steps: acquiring an initial system pipe network diagram of a pump room system, irrigation community information and pump room head information, and marking the initial system pipe network diagram according to the irrigation community information to obtain a target system pipe network diagram; determining the planned irrigation amount of each irrigation cell in the target system pipe network diagram according to the irrigation cell information; according to the target system pipe network diagram, the irrigation community information, the pump room head information and the planned irrigation amount of each irrigation community, generating an initial rotation irrigation group division result; and detecting the plurality of irrigation indexes according to the initial rotation irrigation group division result, and obtaining a target rotation irrigation group division result according to a detection result. By the adoption of the technical scheme, rotation irrigation groups can be reasonably divided according to the current situation of a constructed irrigation project, the pipe network operation efficiency is improved, and pressure and flow balance of all levels of pipe networks under an existing pump room system is guaranteed.

The utility model discloses a water-based UV coating rescreening device, which belongs to the technical field of screening devices and comprises a bottom plate, a convenient material taking assembly is arranged at the upper end of the bottom plate, a screening box is arranged at the upper end of the convenient material taking assembly, a screening plate fixing assembly is arranged on one side of the screening box, and a feeding hopper is arranged at the upper end of the screening box. Supporting columns are symmetrically arranged on one side of the screening box, and a height adjusting assembly is arranged on one sides of the supporting columns and corresponds to the screening box. Through the arrangement of the convenient material taking assembly, the material taking box can be rapidly and stably taken out from the bottom end of the screening box for use, manpower resources are saved, labor cost is reduced, meanwhile, the material taking box can be accurately installed, it is guaranteed that the butt joint of a material receiving opening is accurate, the situation of material leakage is prevented, and the use cost of equipment is saved; and a sieve plate fixing assembly is arranged, so that a sieve plate can be conveniently taken out and cleaned, the use convenience of the equipment is improved, and the screening effect of the water-based UV coating is guaranteed.

The present invention belongs to the technical field of soil sampling, and in particular, is a deep soil sampling device for ecological restoration, including a fixing mechanism, the fixing mechanism including a sliding cover and a box body, the lower end of the sliding cover is fixedly connected to the upper end of the box body, the inner wall of the box body is provided with a movable groove, the inner wall array of the movable groove is rotatably connected with a roller, the inner bottom wall of the box body is provided with a through hole, and the inner wall of the through hole is fixedly connected with a support frame. The sampling device, by setting a feeding mechanism and a soil drilling mechanism, the drill rod can be quickly rotated to a position in the same vertical plane as the cylinder under the drive of an electric slide rail, the sensor controls the electric slide rail to stop and the second electric telescopic rod to contract, so that the drill rod falls into the docking tube, realizing a quick connection and extension action, making the drilling and soil taking operation more coherent, and eliminating the need for a large amount of manpower to participate in the tedious work of replacing the drill rod; the soil taking process is fully automated, saving human resources, reducing project costs, and improving work efficiency.

The invention discloses a section line generation method and device in an intelligent design process and a storage medium, and belongs to the technical field of industrial manufacturing, the method comprises the steps that digital model data of a part is acquired, and the digital model data comprises a product surface and a material pressing surface of the part; a first boundary of the product surface is determined, a second boundary is determined according to the first boundary, the first boundary is the outer boundary of the product surface, and the second boundary is the boundary which fills up the concave-convex contour of the first boundary; determining a reference plane according to the second boundary, wherein the reference plane respectively intersects with the product surface and the material pressing surface; and generating a section line of the part according to the product surface, the material pressing surface and the reference plane. The invention aims to reduce the working procedures of the part process design flow, save time resources and human resources and improve the design production efficiency of parts.

The invention provides an AI-based comfortable wound management specialized system which comprises a bathtub, a double-layer mold herringbone groove is formed in the bathtub, a dressing change operation table, a VR display and an AI console are arranged on one side of the bathtub, and the AI console is connected with a vital sign monitoring module and connected into electroencephalogram monitoring equipment; a temperature control device is arranged on the dressing change operation table, liquid medicine is contained in the temperature control device, and the temperature control device is arranged corresponding to the double-layer mold herringbone groove through a water outlet pipe; the VR display is worn on the head of a patient and comprises an audio and video playing module and a vital sign monitoring module. The vital sign monitoring module is adopted, so that basic vital signs such as the heart rate and the blood oxygen saturation degree of a person can be monitored in real time; the audio and video playing module can automatically play videos and distract the attention of the patient; the experience feeling of a patient in the dressing change process is good, the dressing change participation degree and compliance are improved, and the adverse reaction of the patient in the dressing change process is relieved.

The utility model discloses injection molding product shaping equipment, which is used for shaping injection molding products in a cooling process and comprises a profiling positioning component, a shaping component and a shaping component, and the profiling positioning component comprises a first profiling block and a second profiling block which are respectively used for being attached to different parts of the injection molding products; the pressing assembly comprises a first pressing block, a second pressing block and a driving part, and the driving part is in transmission connection with the first pressing block and the second pressing block, is used for driving the first pressing block to move towards the first profiling block so as to press the injection molding product, and is also used for driving the second pressing block to move towards the first profiling block and the second profiling block at the same time so as to press the injection molding product. The injection molding product is driven to be attached to the second profiling block through movement of the second pressing block towards the second profiling block, the injection molding product is pressed on the first profiling block through movement of the second pressing block towards the first profiling block, and the driving piece is further used for driving the second pressing block to move towards the second profiling block after driving the second pressing block to complete movement towards the second profiling block. And the first pressing block is driven to move towards the first profiling block.

The invention relates to a medical image report automatic generation method and system. The method comprises the following steps: extracting local image features and global image features related to a focus in a medical image; fusing the local image features and the global image features to obtain fused image features, and inputting the fused image features into an image diagnosis classifier to obtain a medical image related disease diagnosis classification result; wherein the image diagnosis classifier is obtained by pre-training an original classifier based on a multi-dimensional image fusion feature, and the multi-dimensional image fusion feature is obtained by fusing a local image feature and a global image feature which are extracted from a sample medical image and related to a focus; querying a pre-constructed medical field knowledge graph based on the disease diagnosis classification result to obtain a corresponding first medical field knowledge code; and fusing the local image features, the global image features and the first medical domain knowledge codes to obtain target text features, and inputting the target text features into a medical big language model to automatically generate an image diagnosis report.