215results about How to "Avoid manual intervention" patented technology

The invention provides a material simulation test method and platform for mold flow analysis, and relates to the technical field of material simulation testing, and the method comprises the steps: carrying out the product demand analysis of a target test material, and obtaining the product demand information; performing injection molding analysis to obtain an injection molding control parameter threshold; obtaining an injection molding simulation test model; carrying out an injection molding simulation test, and carrying out image pre-acquisition to obtain a first pre-acquired image; defect feature analysis is carried out, attention area distribution is carried out, and a target attention area is obtained; an injection molding defect area image is obtained, and defect feature information is obtained; and feedback testing and parameter optimization are carried out, optimized injection molding control parameters are obtained, and injection molding control is carried out. The technical problems that in the prior art, injection molding analysis generally depends on a fixed mathematical model and limited technological parameters, and problems in the molding process cannot be recognized and adjusted in real time, so that the production efficiency and the product quality are low are solved.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses a text-to-video method based on deep semantic analysis, which comprises the following steps of: extracting keywords and named entities from a to-be-converted text, analyzing a core theme and a text structure of the text, and performing semantic analysis to generate a semantic analysis result; retrieving matched images, video clips, sound effects and background music according to a semantic analysis result, and performing spatial layout to generate a preliminary visual layout framework; and constructing a video timeline, integrating the layout scheme, the background music and the sound effect to generate a complete video content, and finally outputting the video content as a video file. Keywords, named entities, core topics and text structures in texts are accurately extracted through semantic analysis, images, video clips, sound effects and background music conforming to semantics are intelligently matched, and the problem that a large amount of manual intervention is needed is avoided. An adaptive animation effect is generated through a deep learning model, and dynamic presentation of video content and continuity of a visual effect are ensured.

The invention relates to the technical field of medicine information management, in particular to a traceability method and system based on a medicine consumable traceability code. The method comprises the following steps: acquiring medicine purchasing information data; generating a unique code for the number of medicine purchasing information so as to generate a medicine warehousing traceability code; performing drug information association on the drug purchase information data according to the drug warehousing traceability code to generate a drug warehousing associated traceability code; storing the medicine warehousing associated traceability code in an information base to generate a medicine warehousing traceability code information base; performing scanning access mode division on the medicine warehousing traceability code, and generating a medicine dispensing scanning request mode and a medicine returning scanning request mode; and performing drug splitting tracing on the drug warehousing tracing code in a drug dispensing scanning request mode to generate drug splitting tracing data. According to the invention, through full-process closed-loop management, data association enhancement, intelligent scheduling optimization and drug return tracing improvement, the efficiency and precision of the drug consumable traceability code tracing method are improved.

The invention discloses a liquid fertilizer application effect analysis method based on self-supervised learning. The method comprises the following steps: S1, generating initial feature data; s2, environment feature representation is generated based on a heterogeneous environment self-adaption module; s3, extracting short-term and long-term spatio-temporal characteristics of the liquid fertilizer application effect based on the dual spatio-temporal characteristic decoupling and dynamic fusion model, and generating comprehensive spatio-temporal characteristic representation; s4, generating fertilization characteristics in different situations by utilizing self-supervised learning, and eliminating environmental interference factors through a causal reasoning module; s5, generating a fertilization intention feature, and dynamically adjusting a fertilization strategy; s6, when the difference between the prediction result and the actual effect exceeds a threshold value, triggering a re-learning module to update model parameters; and S7, carrying out integrated optimization, realizing feature sharing and task coordination through multi-task collaborative learning, and carrying out automatic tuning by utilizing Bayesian optimization. The intelligent analysis of the liquid fertilizer application effect is realized through the self-supervised learning and multi-task collaborative optimization method.

The invention belongs to the technical field of microorganisms, and particularly relates to a microorganism detection culture device and method.The system comprises an intelligent environment control system, and a sensor monitors the temperature, humidity and gas concentration of a culture environment in real time to ensure that environment parameters needed by microorganism growth are kept in the optimal state; the automatic sample processing and operating system avoids pollution or errors caused by manual intervention through a mechanical arm or an automatic transmission device; the real-time image monitoring and analyzing system is used for monitoring the growth state of the microorganisms in the culture dish; the camera can continuously shoot images in the culture process; the rapid detection module rapidly obtains activity information of microorganisms, rapid detection is achieved, and time needed by traditional culture is shortened. According to the invention, accurate control, automatic operation and rapid detection are realized, and an efficient, safe and intelligent solution is provided for microbial culture and detection.

The invention relates to the technical field of dirt cleaning, in particular to a cable self-cleaning assembly for a ship winch, which is mounted on a rack of the ship winch and comprises two mounting frames, a connecting rod is fixed between the two mounting frames and penetrates through a moving seat, a lead screw is screwed on the surface of the moving seat, and two ends of the lead screw are rotatably connected to the two mounting frames respectively. Two supporting plates are fixed to the top face of the movable base, a connecting plate is fixed between the top faces of the two supporting plates, two fixing plates are inserted into the surface of the connecting plate, and a wire guide roller is rotationally connected between the fixing plates and the movable base; the ship stranded wire correcting device has the beneficial effects that the position of the movable seat can be conveniently adjusted by rotating the screw rod, so that the distance between the wire guide rollers is adjusted, and ship stranded wires are corrected. And meanwhile, the cable can be automatically cleaned in the winding process through the design of the protective sleeve and the steel wire brush, the cable can be automatically oiled through the combination of the oil storage tank and the sponge core, manual intervention is not needed in the whole process, and the working efficiency is greatly improved.

The invention relates to the technical field of power system diagnosis, in particular to a power distribution network single-phase earth fault multilateral collaborative diagnosis and positioning method, which comprises the following steps: S1, collecting current and voltage signals in a power distribution network in real time through a sensor network; s2, preprocessing the current and voltage signals; s3, analyzing the unbalance degree of the current and the abrupt change point of the voltage, and identifying whether a single-phase earth fault occurs or not; s4, calculating the propagation time difference of the fault signal by using a time difference of arrival method, and preliminarily estimating the position of the fault; s5, correcting a fault position to locate a specific fault point; s6, generating a fault positioning report; and S7, according to a fault positioning result, triggering a processing measure to send a maintenance instruction to related personnel. According to the invention, through combination of multi-data source analysis and a power grid topological structure, an accurate fault positioning and automatic processing flow is provided, the fault detection precision and the processing efficiency are effectively improved, and stable operation of a power grid is ensured.

The invention discloses adjustable bobbin packaging equipment for wrap yarn processing, and relates to the technical field of wrap yarn processing, in particular to the adjustable bobbin packaging equipment for wrap yarn processing, which comprises a conveying mechanism, an adjusting mechanism is mounted at the top of the conveying mechanism, and a turnover mechanism is mounted at one end of the conveying mechanism. A packaging mechanism is installed at the bottom of the conveying mechanism, and a heat sealing mechanism is arranged at one end of the packaging mechanism. According to the adjustable bobbin packaging equipment for wrap yarn processing, the adjusting mechanism is arranged in the adjustable bobbin packaging equipment to adjust the position of a bobbin, the bobbin is prevented from deviating during packaging, the stability of wrap yarn processing and packaging is improved, and the clamping arms capable of being overturned and adjusted are arranged in the adjustable bobbin packaging equipment to adjust and clamp the large and small heads of the bobbin, so that the working efficiency is improved. And meanwhile, an inductive probe is arranged to induce the position of the bobbin, corresponding packaging operation can be conveniently conducted on all assemblies, manpower input is reduced, and the wrap yarn processing effect is improved.

The invention belongs to the technical field of information pushing, and discloses an information pushing method based on AIGC. The method comprises the following steps: constructing a knowledge graph generation model, a user portrait generation model, an information push content generation model and an information push strategy generation model; generating a knowledge graph by using a knowledge graph generation model according to the plurality of pieces of real-time knowledge data; according to the real-time user behavior data, user portrait generation and knowledge mapping are carried out by using a user portrait generation model; generating an information push strategy by using an information push strategy generation model according to the real-time user portrait after knowledge mapping; and according to the real-time information push strategy and the real-time user portrait after knowledge mapping, using an information push content generation model to generate information push content. According to the method and the device, the problems of insufficient individuation degree, single content generation, low pushing timeliness and poor user experience in the prior art are solved.

The invention relates to the technical field of image processing, in particular to a construction method and system of a water area breach live-action three-dimensional model. The method comprises the following steps: acquiring breach area control point position data; performing surveying and mapping reference confirmation on the breach area control point position data to generate breach area control point reference data; performing three-dimensional coordinate conversion through the breach area control point reference data so as to generate breach area plane coordinate data; unmanned aerial vehicle satellite signal receiving is carried out based on the breach area plane coordinate data, and a standard unmanned aerial vehicle satellite signal is obtained; and performing unmanned aerial vehicle aerial image acquisition based on the standard unmanned aerial vehicle satellite signal to obtain an aerial image of the breach area. Through accurate data acquisition, efficient unmanned aerial vehicle image acquisition and processing, dynamic image utilization and optimized point cloud model construction and texture mapping, the accuracy and timeliness of the three-dimensional model are improved.

The invention discloses a current saturation algorithm-based converter control mode switching method and system, and the method comprises the steps: building an outer loop voltage control equation of a fault-free network-building converter, and defining that the converter operates in a constant voltage mode; current limitation of a device under the fault is considered, a dq-axis current reference value under the fault is generated based on a current saturation algorithm, and a current converter is defined to operate in a current limiting mode; after a fault occurs in the constant voltage mode, whether the current amplitude of the converter exceeds the saturation current amplitude which can be borne by the device at the fault moment is judged, and the converter enters the current limiting mode from the constant voltage mode to operate; in the current limiting mode, when a difference value between an actual value and a reference value of active power output by the converter is smaller than a given value, exiting the current limiting mode, and entering a constant voltage mode for operation; and finally, on the basis of a switching rule of the converter between the CVC mode and the CLC mode, obtaining a switching model after the network-forming converter suffers from a fault. According to the invention, automatic switching can be realized to avoid the device overcurrent problem, and the logic is simple and effective.

The invention belongs to the technical field of material science, and discloses a shape optimization method for a high-temperature alloy disc type pre-forged piece. According to the method, finite element numerical simulation, a support vector machine and a genetic algorithm are combined, a GA-SVR prediction model between an input variable and a target function is established, the optimal value of the target function is predicted, and the optimal geometric parameter combination of the pre-forged piece is obtained. Firstly, the shape of a pre-forged piece is preliminarily designed through experience, then a finite element simulation result is extracted to establish a data set, parameters of a support vector machine model serve as a target function of a genetic algorithm by means of the data set, the parameters of the support vector machine model are optimized by means of the genetic algorithm, and an optimal prediction model is obtained. And for the size parameter combination of the pre-forged piece when the best deformation uniformity evaluation index is obtained, the deformation uniformity of finish forging is effectively improved through global optimization of the genetic algorithm, so that the final performance of the forged piece is improved.

The invention discloses an intelligent automatic watering robot system and an automatic water drying control method thereof, and aims to solve the problem of inconvenience in plant irrigation in existing family garden nursing. The system is composed of a watering robot and a base, wherein the watering robot comprises a machine body cabin, a water storage tank, an energy storage module and a control unit. A water drying module is arranged in the machine body cabin, various spraying modes can be switched according to different plant requirements, and uniform irrigation is ensured. In order to realize efficient path planning and obstacle avoidance, the sprinkling robot is equipped with a radar module, and sensors monitor the surrounding environment in real time and feed data back to the control unit. And obstacles are avoided while the whole garden area is covered. When the water amount in the water storage tank is lower than a preset threshold value, the control unit triggers low-water-level alarm and guides the watering robot to return to the base for water supplementing and charging.

The invention provides a single-electrode silica gel sheet test circuit, device and method for physical therapy. The single-electrode silica gel sheet test circuit comprises a microcontroller, a Darlington tube array chip circuit, a relay array, a signal conditioning circuit and the like. The microcontroller controls the Darlington array to amplify low-power signals, drives the relay array to achieve selection of different test paths, collects and processes test data, and transmits the test data to the computer through a serial port. The relay array alternately switches paths to complete each test item; the signal conditioning circuit is used for adjusting a test signal to meet the AD sampling requirement; the digital control analog switch realizes multiplexing of multiple paths of signals, and a single AD port acquires multiple paths of signals; and the state indicating circuit displays the test result and gives an alarm prompt. The system is specially used for a single electrode plate test scheme, the installation complexity can be remarkably reduced, the stability is improved, and the efficiency is greatly improved.

The invention discloses an enterprise digital exhibition and sales architecture management system, and relates to the technical field of exhibition architecture management, and the system constructs and evaluates a regional distribution index Qyfb and a regional congestion index Ydz through a three-dimensional model building module, a layout management module and a real-time human traffic analysis module, can accurately evaluate the spatial distribution between showcases, and improves the exhibition and sales efficiency. The layout is adjusted in time to optimize the use efficiency of the exhibition area, and the exhibit is prevented from being too dense or loose; the method monitors and predicts the crowd congestion condition of the exhibition area in real time, dynamically adjusts the guide identifier and the interaction area setting, and relieves the congestion. The digital acquisition module and the analysis module realize comprehensive acquisition and analysis of illumination and environmental conditions of an exhibition site. The condition data set is deeply analyzed through the neural network technology, the illumination condition index Gztj and the ventilation condition index Tftj are calculated and evaluated to make corresponding management strategies, and the management efficiency of the exhibition site is improved.

The invention discloses an automatic feeding and discharging device for circuit board printing, and particularly relates to the technical field of circuit board production, the automatic feeding and discharging device comprises a conveying seat, positioning assemblies are symmetrically arranged on the left side and the right side of the conveying seat, a cleaning assembly is arranged at the upper end of the conveying seat, and a printing assembly is arranged on the front side of the cleaning assembly; pushing assemblies are symmetrically arranged at the left end and the right end of the front side of the conveying base, lifting assemblies are arranged on the front sides of the pushing assemblies, and a plurality of material discs are arranged at the upper end of the conveying base. According to the automatic feeding and discharging device for circuit board printing, through cooperation of all the structures, the position of a circuit board can be accurately calibrated in the feeding process, machining errors caused by inaccurate positioning are avoided, the circuit board is cleaned synchronously, it is ensured that the surface of the circuit board is clean, and the working efficiency is improved. And the printed circuit board can be intermittently conveyed to a designated position to be stored in the discharging process, so that rapid storage and taking in the later period are facilitated, and the whole feeding and discharging process is optimized.

The embodiment of the invention provides a product production plan data processing method and device, a medium and electronic equipment. The method comprises the following steps: acquiring a pre-created target production plan model in which an input field of product production basic data and an output field of product production plan data are defined; a target production plan strategy comprising at least one model constraint and at least one model target is configured in the target production plan model, each model constraint is provided with a priority used for limiting the priority degree that each model constraint is met, each model target is provided with a priority used for limiting the priority degree that each model constraint is met, and each model target is provided with a priority used for limiting the priority degree that each model constraint is met; the priority limiting module is used for limiting the priority degree that each model target is met; and inputting the product production basic data limited by the input field into the target production plan model, and operating the target production plan model to output the product production plan data limited by the output field. According to the invention, the product plan data processing efficiency can be improved.

The embodiment of the invention discloses a protocol management method of an Internet of Things platform and the Internet of Things platform, and the method is used for detecting a protocol updating event in the operation process of the Internet of Things platform, analyzing the detected protocol updating event, determining a to-be-updated target communication protocol and updating indication information, and transmitting the to-be-updated target communication protocol to the Internet of Things platform. And then a protocol instance set currently adopted by the Internet of Things platform is acquired, the protocol instance set is used for indicating each communication protocol allowed to be called by the Internet of Things platform, and then protocol instance updating is performed on the protocol instance set based on the update indication information and the target communication protocol, so that the Internet of Things platform performs message interaction based on the updated protocol instance set. The effects of reducing the management difficulty of the communication protocol and improving the management efficiency of the communication protocol can be achieved.

The invention discloses a dynamic control method for visitor authority of a park system. The method comprises the following steps: sending a menu item selected to be accessed by a visitor to a visitor authentication micro-service; receiving a visitor authority two-dimensional code generated by the visitor authentication micro-service based on the selected menu item; a visitor code scanning login request generated when a visitor scans the visitor permission two-dimensional code is sent to the visitor authentication micro-service; if the analyzed permission does not exist in the RBAC permission table, receiving an updated visitor permission two-dimensional code to enable the visitor to scan the code again to log in; otherwise, the visitor can log in the park system; a visitor logs in the park access system, and after the visitor selects a service request, a corresponding visitor access service request is sent to the gateway; and the gateway judges whether the visitor has the authority to access the business request, and if yes, the visitor access business request is forwarded to the corresponding business micro-service. According to the invention, the visitor demand is subjected to dynamic permission conversion and real-time updating, so that the efficient and high-quality access of the visitor to the system can be realized.

The invention provides a test method and device of smart home equipment, a program and electronic equipment. The method comprises the following steps: acquiring a current equipment state of the smart home equipment; according to the current equipment state and the priority weights, the execution sequence of the multiple test cases in the test case library is determined, so that the smart home equipment executes the multiple test cases, and each test case in the test case library has a preset priority weight. According to the invention, the problem that the test efficiency is affected due to inflexible sorting of the test cases of the smart home equipment in the prior art is solved.

The invention provides a nuclear fuel assembly grabbing positioning and deviation correction method and system based on industrial vision. The method comprises the steps of obtaining multi-view image data of a target nuclear fuel assembly and structured light deformation image data under a corresponding view; extracting an outer contour boundary of the target nuclear fuel assembly in a three-dimensional space based on the multi-view image data and the structured light deformation image data to obtain initial outer contour boundary data; performing pose positioning based on the initial outer contour boundary data in combination with original design data of the target nuclear fuel assembly to obtain a current pose parameter of the target nuclear fuel assembly in a three-dimensional space; performing deviation analysis based on the current pose parameter in combination with a preset standard pose parameter to obtain current deviation data and a corresponding deviation analysis result; and if the deviation analysis result is correctable deviation, performing instruction generation based on the current deviation data to obtain a pose correction instruction. The problem that the correction effect is poor in an existing method is solved.

The invention provides an intelligent door and window control system, and relates to the technical field of intelligent door and window control, the intelligent door and window control system comprises an environment data acquisition module, a cloud data storage module, a weather data reading module and a door and window intelligent control module, the environment data acquisition module is used for respectively acquiring indoor environment parameters and outdoor environment parameters; the cloud data storage module is used for storing the indoor environment parameters, the outdoor environment parameters and the window opening angle output by the intelligent door and window control module and sending the indoor environment parameters and the outdoor environment parameters to the intelligent door and window control module. The weather data reading module is used for reading day weather data and historical weather data and sending the day weather data and the historical weather data to the door and window intelligent control module; the intelligent door and window control module is used for calculating the window opening angle needed by the intelligent window according to the indoor environment parameters, the outdoor environment parameters and the day weather data and automatically controlling opening and closing of the intelligent window based on the window opening angle. The control precision of the intelligent window can be improved, and energy consumption can be reduced.

The invention relates to the technical field of soil pollution detection, and discloses a detection system and method for soil pollution, and the method comprises the following steps: collecting a plurality of soil samples of a to-be-detected area based on a preset distance; acquiring soil data of a plurality of soil samples, and establishing a correlation formula of each soil sample; based on the predicted distance measurement, whether abnormal data occur in the soil sample correlation formulas or not is judged, and if the abnormal data occur between the soil sample correlation formulas, the soil samples corresponding to the abnormal data are collected again. And if no abnormal data occurs between the soil sample correlation formulas, acquiring a soil data mean value between the soil samples, and determining the soil pollution level of the to-be-detected area according to the soil sample mean value. Through accurate soil sample collection, data analysis and anomaly detection, data errors are effectively eliminated, and the accuracy of soil pollution assessment is ensured, so that a reliable basis is provided for implementation of pollution prevention and control and treatment measures.

The utility model discloses a sorting and identifying device for large balls, small balls and plastic chip round cards, which comprises a main body frame, a ball guide hopper is arranged at the top end of the main body frame, a net opening metal plate is arranged on one side of the ball guide hopper, a push disc is arranged on the rear side of the net opening metal plate, and the ball guide hopper, the net opening metal plate and the push disc jointly form a primary sorting machine. An antenna and an antenna cover are respectively arranged at the top end of the main body frame, a bearing is arranged at the bottom end of the main body frame, a bearing fixing piece is arranged on the surface of the bearing, a motor rack is arranged at the bottom end of the main body frame, and a motor is arranged at the bottom end of the motor rack, so that the secondary sorting machine is formed. Through primary physical sorting and secondary intelligent identification, rapid and automatic sorting processing of large balls, small balls and plastic chip round plates is effectively achieved, size screening of materials with different diameters is achieved through combination of the ball guide hopper and the net opening metal plate, and the problems that the large balls are blocked, the small balls are not identified and the like are effectively solved.

The invention relates to a vehicle design scheme generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a design optimization target and a corresponding first design constraint condition, and determining a vehicle performance prediction meta-model matched with the design optimization target, the vehicle performance prediction meta-model is used for generating vehicle performance data according to a vehicle design scheme, generating a first multi-target optimization workflow based on a multi-target optimization algorithm according to the vehicle performance prediction meta-model, the design optimization target and the first design constraint condition, and generating a first vehicle design scheme based on the first multi-target optimization workflow. Therefore, based on the vehicle performance prediction meta-model, optimization design is carried out on the design optimization target according to the first design constraint condition, a vehicle design scheme meeting user requirements is automatically generated, multi-target optimization of vehicle design is intelligently carried out under the condition that manual intervention is avoided, and the generation efficiency of the vehicle design scheme is improved.

The invention provides a method and system for calculating single-type vegetation carbon sink, a terminal and a medium, and particularly relates to the technical field of forestry carbon sink, and the scheme comprises the steps: obtaining remote sensing data in a target time period and a target region; based on the remote sensing data, determining a land cover distribution map layer and a vegetation index corresponding to the target type of vegetation; and based on the vegetation index and the earth surface coverage distribution map layer, obtaining the carbon sink amount of the target type vegetation in the target time period. According to the scheme, the land cover distribution map layer corresponding to the target type of vegetation and the related vegetation index can be accurately determined, the carbon sink amount of the target region in the set space-time range can be rapidly calculated, and the working efficiency and the calculation precision can be remarkably improved.

The utility model provides storage battery electrolyte holding and testing equipment. The storage battery electrolyte holding and testing equipment comprises a table body rack, a detection platform, a driver, a controller and a limiting assembly, the detection platform is rotationally connected with the table body rack; a body of the driver is rotationally connected with the table body rack; the driving end of the driver is rotationally connected with the detection platform; the controller is electrically connected with the driver; the detection platform is movably arranged on the table body rack; according to the invention, the use state of the storage battery in the vehicle vibration environment can be accurately represented, and the retention capability of the electrolyte can be verified. The testing device makes up the defects of traditional static detection, and enables the testing result to be more authentic and reliable. The controller is electrically connected with the driver and can automatically control rotation of the detection platform according to preset frequency and programs. By means of the automatic design, manual intervention is avoided, the operation difficulty is lowered, and the testing efficiency and precision are improved.

The invention relates to a portable cast-in-place pile hole bottom sediment thickness detection device. The detection device comprises a transportation plate trailer and a thickness detection assembly, a winding mechanism is arranged on the transportation plate trailer, one end of the winding mechanism is fixedly connected with the thickness detection assembly, and the thickness detection assembly comprises a bearing mechanism, a leveling mechanism, a detection mechanism and a moving mechanism; the bearing mechanism serves as a supporting mechanism of the whole detection assembly, the leveling mechanism adjusts the levelness of the detection mechanism and the bearing mechanism, the detection mechanism is used for detecting the sediment thickness, and the moving mechanism is used for driving the whole detection assembly to move. The overall flexible movement of the device is realized through the transportation plate trailer, the winding mechanism can stably lower the detection assembly into a cast-in-place pile hole, the detection assembly can be leveled in the hole through the leveling mechanism, the detection assembly is convenient to move through the moving mechanism, the heavy detection assembly does not need to be manually carried or dragged, and the detection efficiency is improved. The problems that existing equipment is large in size, and manual position adjustment is inconvenient are solved.

This invention provides a method and system for semantic novelty search of scientific and technological literature based on a large-scale pre-trained model, belonging to the field of information retrieval technology. The method includes: acquiring the target user's query input text and retrieval constraints; performing preprocessing and standardization to obtain preprocessed query input text; performing multi-granularity semantic encoding fusion to determine the semantic vector of the preprocessed query input text; performing domain-adaptive fine-tuning to obtain an optimized BERT model; constructing a feature classifier to generate feature semantic representations to obtain feature semantic representation results; performing comprehensive novelty assessment to obtain a comprehensive novelty rating; and performing automated difference analysis to obtain difference analysis results. This invention solves the technical problem in existing retrieval schemes based on pre-trained models that use single-granularity semantic representations, which cannot fully capture the complex semantic structure of professional terms, resulting in inaccurate novelty search results.

The invention discloses a household intelligent sprout cultivation box and a cultivation method, comprising a box body, a control device, a seedling raising frame, a heating device and a liquid circulation supply device installed in the box body, wherein a multi-layer distributed seedling cultivation box is installed on the upper part of the box body, a water tank is provided at the lower part of the seedling cultivation box for storing circulating water and adding nutrient solution, a seedling tray is clamped on the seedling tray, and sprouts are cultivated in the seedling tray; an air heating line provided by the heating device is installed on the upper part of the seedling raising frame, and a temperature and humidity collector is electrically connected to a control box installed outside the box body; a water pump of the liquid circulation supply device is installed at the connection between the seedling raising box and the water tank; the cultivation method comprises the following steps: 1) selecting seeds, 2) soaking seeds, 3) placing in a seedling raising frame for germination acceleration, 4) cultivating seeds after germination, and 5) harvesting mature sprouts; the invention automatically controls the temperature and humidity in the seedling cultivation box through a temperature controller and a PLC controller, so that the sprouts reach an optimal growth environment, and automatically cultivates sprouts that are safe and have good growth.