67results about How to "Realize automatic matching" patented technology

The invention relates to the technical field of defect detection, and discloses a pipeline repairing method and system based on defect detection. The method comprises the following steps: performing acoustic detection on a pipeline based on a multi-frequency sound wave signal to obtain pipeline sound field data; carrying out electromagnetic wave scattering detection on the pipeline to obtain electromagnetic scattering data; constructing a sound field distribution diagram in the pipeline and an electromagnetic property distribution diagram on the surface of the pipeline; performing feature extraction on the sound field distribution diagram to obtain a first detection feature set, and performing feature extraction on the electromagnetic characteristic distribution diagram to obtain a second detection feature set; inputting the first detection feature set and the second detection feature set into a space-time diagram convolutional network model for pipeline defect diagnosis to obtain a defect position and a defect type; and performing causal reasoning and repair scheme matching on the pipeline according to the defect position and the defect type to obtain a target pipeline repair scheme, thereby improving the accuracy of pipeline defect detection, thereby improving the accuracy of pipeline repair.

The invention discloses an intelligent interactive thematic map generation system and method based on a large language model. Comprising a large language model module, a thematic map template library, an intelligent data source management module, an intelligent cartographic engine, an interactive optimization module, a user interaction configuration module, a configuration library, an external service interface module, a model data quality verification module, a thematic map personalized correction module and the like. A user interactively selects a template, specifies a data source and describes drawing requirements through a natural language, LLM drives an intelligent drawing engine to generate a thematic map, fine adjustment and real-time optimization of the user are supported, and user-friendly, efficient and flexible thematic map making is achieved. Meanwhile, the system has the functions of data quality verification, personalized configuration, interactive history learning and the like, a powerful tool is provided for non-professional users to quickly customize and finely adjust thematic maps, and the intelligent level and adaptability of thematic map making are greatly improved.

The invention provides a vehicle tire pressure sensor matching method and device, a vehicle and a storage medium. The method comprises the following steps: when a vehicle is in a turning state, obtaining a first classification result according to centripetal acceleration sent by each tire pressure sensor; if the vehicle has two tires, a second classification result is obtained according to the X-axis acceleration sent by each tire pressure sensor; in the wheel rotating process, a third classification result is obtained according to the gravity acceleration Z-axis component sent by each tire pressure sensor and the wheel rotating tooth number sent by the vehicle speed sensor corresponding to each tire; and determining a matching result of the tire pressure sensor of the vehicle according to at least one of the first classification result, the second classification result and the third classification result. Automatic matching of the tire pressure sensors can be achieved, a special tool is not needed, a user does not need to drive a vehicle to a maintenance point, the tire does not need to be deflated, all the tire pressure sensors can be matched at the same time at a time, and efficiency is high.

The invention discloses a transmit-receive isolation device and a laser communication transmit-receive isolation system, and relates to the technical field of inter-satellite laser communication, the transmit-receive isolation device comprises a transmit-receive module, a communication detection module, a filtering module, a detection module and a control module, the transmit-receive module is used for receiving remote light and outputting the remote light as a remote light signal; the communication detection module is used for receiving a remote optical signal; the filtering module is connected between the communication detection module and the transceiving module, the filtering wavelength of the filtering module can be adjusted, and the filtering module is used for selectively transmitting optical signals with specific wavelengths; the detection module is used for detecting the wavelength of the remote optical signal; the control module is respectively connected with the filtering module and the detection module; the control module is used for controlling the filtering wavelength of the filtering module to be equal to the wavelength of the remote optical signal according to the detection result of the detection module, so that the filtering module selectively filters the remote optical signal; according to the technical scheme, the compatibility of the laser communication transceiving isolation system can be improved.

The invention relates to a fault plan determination method and device, computer equipment and a storage medium. A terminal obtains fault phenomenon data of a power system; and inputting the fault phenomenon data into a plan matching model obtained by training the fault phenomenon and the fault plan in the historical time period for matching processing to obtain a target fault plan. Based on the complex semantic processing and natural language generation capability of the plan matching model, the accuracy and interpretation capability of the fault plan matching of the power automation system are improved, so that the automatic matching of the fault phenomenon and the fault plan of the power dispatching automation system can be realized, and the fault processing speed of dispatching personnel is improved.

The invention provides a stepless adjustable reactive compensation power capacitor and a working method thereof. A stepless adjustable reactive compensation power capacitor comprises a first capacitor plate, a second capacitor plate, a power mechanism and a capacitor shell, the power mechanism is used for driving the first capacitor plate to insert and separate relative to the second capacitor plate, the first capacitor plate is slidably mounted in the capacitor shell, and the second capacitor plate is slidably mounted in the capacitor shell. The second capacitor plate is installed in the capacitor shell, and the power mechanism is connected with the first capacitor plate.

The invention discloses a chat tool-based group and position recommendation method and device, equipment and a medium. The method comprises the following steps: creating a plurality of group categories; setting the group attribute of each initial group for a plurality of initial groups created in the chat tool; the group attribute comprises a group attribute name, a target group category to which the group attribute belongs, a matching priority and a matching screening item; according to the matching priority, matching the portrait data of the target user with the group attribute of each initial group in sequence; in the matching process, if the ith initial group is successfully matched and the target user does not join the ith initial group, classifying the ith initial group or a subgroup thereof into a recommendation list; if the target user joins the ith initial group, continuing to match the next matching priority; recommending the group in the recommendation list to the target user; and pushing the target position to the target initial group and / or subgroup successfully matched with the target position. The group recommendation efficiency, the recruitment efficiency and the success rate can be improved.

The invention discloses a vehicle type and torque matched tightening method, device and equipment and a storage medium, and the method comprises the steps: obtaining a chassis number of a to-be-assembled vehicle type, and carrying out the matching of the chassis number of the to-be-assembled vehicle type with vehicle type tightening parameters inputted into an MOM platform in advance, so as to obtain the tightening torque of the to-be-assembled vehicle type. Manual intervention can be reduced, automatic matching of the vehicle type and the torque standard is achieved, and the torsion accuracy and the assembly efficiency of a final assembly line are improved.

The invention provides an electric auxiliary turbocharger with a double filtering system, and relates to the technical field of electric auxiliary turbochargers, the electric auxiliary turbocharger comprises a gas compressor, a gas compressor gas inlet and a gas compressor gas outlet are formed in the gas compressor, a conical barrel is further arranged on the gas compressor, a gas inlet is formed in the side wall of the top of the conical barrel, and a gas outlet is formed in the side wall of the top of the conical barrel. The air inlet is tangent to the conical barrel, a connecting barrel is rotationally connected to the center of the top of the conical barrel, a rotating barrel with air permeation holes is arranged in the center of the interior of the conical barrel, rotating barrel blades are arranged on the side wall of the periphery of the rotating barrel, and the top of the rotating barrel is fixedly connected with the bottom of the connecting barrel; the top of the connecting cylinder is rotationally connected with the air inlet end of the air filter, double filtering devices are arranged, namely, a set of filtering devices are additionally arranged in front of the air filter, so that the filtering effect on pollution such as dust in air is improved, and the situation that the air filter is blocked, and the air inlet amount is affected is avoided.

The application discloses a heat dissipation control method and electronic equipment, and relates to the technical field of heat dissipation. The method comprises the following steps: reading the identification information of each component in the electronic equipment; determining the first heat dissipation strategy corresponding to each component according to a preset global mapping table and executing the first heat dissipation strategy; monitoring the running state of the electronic equipment; when it is monitored that the electronic equipment enters a low-power consumption state, determining the in-place state and power supply state of each component; determining the current effective configuration of the electronic equipment based on the in-place state and power supply state of each component; determining the adjustment coefficient of each working component based on the current effective configuration; adjusting the first heat dissipation strategy corresponding to each working component according to the adjustment coefficient to determine the second heat dissipation strategy corresponding to each working component; and solving the technical problem that a control element depends on firmware to acquire component information through bus enumeration in an initialization stage, so that the technical effect of accurately and automatically matching the heat dissipation strategy under the whole life cycle and the whole hardware state of the electronic equipment is achieved.

The application relates to the field of data processing and discloses a structured data automatic extraction and output method and device for business bills. The method comprises the following steps: providing a plurality of pre-created and published template snapshots and data structure constraint rules; acquiring a bill image; automatically determining a target template type matched by the bill image, loading corresponding template snapshots and data structure constraint rules according to the target template type; performing optical character (OCR) recognition on the bill image to obtain OCR text; and extracting and outputting corresponding structured business data from the OCR text through an information extraction engine according to extraction prompt words and data structure constraint rules. The embodiment of the application can self-define a template, automatically identify a bill type, perform data extraction through context semantic understanding to break through the difference barrier of field naming, and directly output structured business data, so as to meet the automation, standardization and traceability requirements of enterprise-level bill processing.

This invention discloses a rapid splicing control method for high-efficiency liquid-cooled energy storage modules, relating to the field of energy storage system technology. It includes five core control steps: pre-configuration before splicing involves reading module identity and parameters via wireless communication, verifying compatibility, and generating a splicing sequence; physical splicing employs visual and mechanical collaborative positioning, dynamically adjusting to ensure precise interface alignment; the liquid-cooled circuit opens the reversing valve in a timed sequence, monitoring pressure and flow to achieve leak-free connectivity; the electrical interface uses adaptive detection to match protocols and voltage, with soft-start to avoid current surges; after splicing, a collaborative algorithm dynamically allocates power and flow, with closed-loop control ensuring stable system operation. This invention significantly improves the splicing efficiency and positioning accuracy of liquid-cooled energy storage modules, possesses fault tolerance and flexible expansion capabilities, adapts to large-scale and distributed energy storage scenarios, and meets the high-efficiency and reliable operation requirements of energy storage systems.

The utility model relates to the technical field of unmanned aerial vehicle spraying, and discloses an agricultural unmanned aerial vehicle spraying device which comprises a mixing box, a top cover is detachably installed on the top of the mixing box through threads, and a plurality of sets of pesticide storage boxes are fixedly installed on the top of the top cover; the output end of the servo adjusting motor drives the driving gear to drive the driven gear to periodically rotate for a unit angle, so that the adjusting plate periodically rotates in the top cover, and the magnetic suction nozzles on the circumference of the adjusting plate can be respectively connected with a plurality of groups of circumferentially arranged medicine storage box connecting pipes; medicaments in a plurality of groups of pesticide storage boxes can be guided into the mixing box in batches, and the medicaments and diluted clear water can be uniformly stirred and mixed under the matching of a stirring motor and stirring blades, so that the various medicaments are automatically matched for metering and dispensing, the medicaments can be automatically dispensed after short stop after the liquid medicine in the mixing box of the unmanned aerial vehicle is completely sprayed, the operation is more automatic, and the working efficiency is improved. And the working efficiency is improved.

The invention discloses a vehicle controller OTA upgrade package generation method and device, equipment and a medium. The generation method of the vehicle controller OTA upgrade package comprises the following steps: detecting whether a target vehicle needs to generate the vehicle controller OTA upgrade package in real time; when it is detected that a target vehicle needs to generate a vehicle controller OTA upgrade package, determining a target production file and a target configuration file needed by a vehicle controller of the target vehicle; compressing the target production file and the target configuration file to obtain an OTA upgrade source file of the vehicle controller of the target vehicle; generating a vehicle controller software package of the target vehicle according to the OTA upgrade source file of the vehicle controller, the vehicle controller information and the preset encryption algorithm information; and generating a vehicle controller OTA upgrade package of the target vehicle according to the vehicle controller software package of the target vehicle and the preset encryption algorithm information. According to the scheme, the efficiency and accuracy of generation of the OTA upgrade package of the vehicle controller are improved.

The invention discloses a microbial carrier implantable soil microstructure improvement device and method, the device takes microbial carrier precise implantation as a core, integrates multiple functions of targeted layered implantation, carrier-soil microstructure synchronous reconstruction, microcapsule in-situ activation and the like, and can improve the soil microstructure through an intelligent regulation and control system and modular design. And efficient improvement of the soil microstructure in different soil layers and different scenes is realized. The device comprises a power module, a control module and a switchable function module, innovatively adopts a targeted layered injection mechanism, a carrier-soil mixing and shaping assembly and an environmental response type microcapsule spray-seeding activation module, and is matched with a degradable carrier material modification assembly and a new energy driving system. The problems that a traditional device carrier is low in implanting precision, not tightly combined with soil, single in application scene and the like are solved.

This invention belongs to the field of new energy meteorological monitoring technology, specifically relating to an adaptive correction method and system for new energy meteorological monitoring data. The method includes: preprocessing multi-source meteorological monitoring data collected from target monitoring stations to obtain processed data; determining the path code corresponding to the processed data using a pre-established multi-dimensional decision tree model; and correcting the processed data according to the path code and the corresponding model to obtain the final corrected meteorological monitoring data. The multi-dimensional decision tree model is constructed using multi-source meteorological monitoring data from historical monitoring stations. The technical solution provided by this invention achieves automatic matching of optimal correction strategies under different scenarios, significantly improving data quality and providing a more reliable data foundation for new energy power prediction.

The invention discloses a medical image automatic matching method and system based on a double-layer neural network model, and relates to the field of image processing and deep learning. The method comprises the following steps: firstly, constructing a double-layer neural network model, the first-layer model being used for blood vessel segmentation, and the second-layer model being used for labeling three attribute endpoints of a root node, a bifurcation point and an end point for a segmentation map; then performing blood vessel segmentation and endpoint labeling on two angiography images acquired at different angles by adopting a first layer model and a second layer model of a double-layer neural network model respectively to obtain a first blood vessel segmentation result, a second blood vessel segmentation result, a first endpoint labeling result and a second endpoint labeling result; and finally, matching the blood vessel segments in the two images based on pixel values and endpoint attributes in the segmentation result and the labeling result. According to the invention, the automatic segmentation of the angiography image is realized, the matching of the blood vessel segments is automatically completed after the segmentation task is completed, and the efficiency of the three-dimensional reconstruction of the blood vessel is improved.

The present application belongs to the technical field of atmospheric dynamic structure identification, and discloses a method for automatically identifying the horizontal scale of atmospheric vortex and matching the vortex with a mesoscale convective system, which comprises the following steps: based on the two-dimensional coordinates of the vortex center of each extended height layer of a three-dimensional vortex at time t, a vortex range identification algorithm is used to identify the vortex range of each extended height layer of the three-dimensional vortex at time t; a vortex range smoothing processing algorithm is used to smooth the vortex range at each time t in the vortex life history time sequence; and it is determined whether the range of the mesoscale convective system coincides with the stable vortex range of any extended height layer of the three-dimensional vortex at the same time t. The present application automatically and accurately identifies the range of a large-scale and long-time atmospheric vortex, solves the problem that the traditional vortex identification cannot determine the horizontal range and the real influence scale, realizes the automatic matching and correlation analysis between the vortex and the mesoscale convective system, and constructs an automatic identification process which can be used in real-time or reanalysis business platforms.

The invention discloses a video material automatic matching result analysis method. The method comprises the following steps: obtaining text features according to an obtained query text; obtaining multi-modal fusion video features of each video material in the video material library; inputting the text features and the multi-modal fusion video features of each video material into a pre-constructed cross-modal routing interaction network model for interaction to generate text enhancement features and corresponding multi-modal video fusion enhancement features, based on the text enhancement features and the corresponding multi-modal video fusion enhancement features, respectively constructing a text semantic graph and a corresponding video semantic graph; and calculating a graph structure similarity between the text semantic graph and the video semantic graph of each video material based on a graph matching network, and outputting the video material matched with the query text based on a graph structure similarity calculation result. The problems of inaccurate video material matching result, large error and the like in the prior art can be solved.

The application discloses a port RMG or RTG double-container automatic operation system based on visual situation awareness, through setting a container number identification module, a layer height scanning module, a container seam gap detection module and an operation instruction conversion module, the front container and the rear container can be simultaneously identified, the identified container numbers and instruction information are matched, the double-container layer height scanning detection is carried out, the low-bee container height information and the high-bee container height information are stored, when it is found that the operation layer height information does not match the system field diagram information before operation, the operation is stopped to avoid safety risks, two sets of redundant schemes of a gap scanner and visual detection are arranged, the detection results are cross-checked, thereby realizing the basic alignment of the middle lock X direction, the double-container operation is realized through the TOS interface and the single-container operation production system, according to the matching rule, the 20ft single container meeting the double-container operation is converted into a double-container instruction, and the problem that the original production system has low support for the double-container operation task is solved.

This invention relates to the field of vertical milling and turning technology, and discloses a vertical milling and turning composite machining center, including a machining table, a support frame, a vertical cantilever, a drive motor, and a drive shaft. A composite machining mechanism for switching machining types is mounted on the side of the vertical cantilever; a switching mechanism for changing the workpiece's motion state according to the machining type is provided below the composite machining mechanism; a spraying mechanism for changing the coolant's application according to the machining type is provided on the upper surface of the machining table; a clamping mechanism for fixing a ring-shaped workpiece is provided at the top of the switching mechanism; the composite machining mechanism includes a sliding frame plate, with two double-toothed plates slidably connected inside the sliding frame plate. This invention utilizes the forward and reverse directions of the vertical cantilever's lifting stroke to correspond to different machining actions, improving the continuity of actions and machining efficiency, and ensuring the positional stability and synchronization accuracy of the milling cutter and drill bit near the workpiece.

The present application relates to the technical field of geotechnical engineering investigation, and specifically discloses a rock-soil investigation adjustable-depth sampling method, which acquires pore fluid pressure data in real time through a sensor group arranged at the front end of a sampler; based on the data, the evolution trend of the pressure field in front of the sampler is dynamically predicted, and a prediction result containing the pressure abnormal state and its space-time information is generated; the prediction result is processed in stages to obtain a pressure risk level; the level is used in a collaborative decision with the soil sensitivity and the target sampling quality to generate a dynamic control strategy; finally, the penetration action of the sampler is adjusted in real time according to the strategy, including performing a micro-retraction and re-penetration cycle or a gradual deceleration operation, and the control effect is ensured through closed-loop optimization; the present application can actively suppress water hammer and cavitation effect, and improve the quality and reliability of obtaining undisturbed samples in complex strata.

The invention relates to a waste steel inspection data objection disposal device based on inspection entrustment, and belongs to the technical field of industrial automation control. The device comprises scrap steel inspection data acquisition equipment, scrap steel inspection data intelligent calculation equipment and scrap steel inspection quality objection disposal equipment. By means of the device, human intervention factors in the waste steel quality objection disposal process can be reduced to the maximum extent, the fair and accurate waste steel quality objection disposal result can be effectively achieved through a series of processes such as inspection data collection, inspection index intelligent calculation, automatic matching of the calculation result with the quality judgment standard and real-time disposal conclusion pushing, and application and popularization are easy.

The invention discloses a regional temperature control method and system based on variable frequency outdoor unit requirements. The method comprises the following steps that the area type of the area where the air conditioning system is located is obtained; according to the area type, the opening degree of a fresh air valve and the opening degree of a return air valve of the air conditioning system and the initial opening number of variable-frequency outdoor units are controlled; the current indoor temperature of the area where the air conditioning system is located is obtained, and logic operation is carried out based on the difference value between the preset temperature and the current indoor temperature so as to calculate the current requirement of the single variable-frequency outdoor unit; and for different regions, according to the current total demand of the air conditioning system, the initial starting number of the variable frequency outdoor units and the current demand of a single variable frequency outdoor unit, preset first load shedding logic, first loading logic, second load shedding logic or second loading logic is executed, and therefore regional temperature control is achieved. Therefore, the frequency conversion outdoor unit is prevented from working under extreme working conditions, and long-term stable operation of the air conditioning system is guaranteed.

The application provides a kind of multilingual front-end resource automatic construction method and system based on construction stage, method includes: in front-end construction stage, configuration target language type set and main language type, and target language type set is executed cyclic construction processing to;In cyclic construction processing, when target language type is different from main language type, the text content in front-end source code is scanned and identified, generates and labels text mark, based on text mark, from target language type corresponding language package, target language text is obtained, and target language text is replaced with corresponding text content, and the text content that is not completed replacement processing is recorded as to-be-processed text;Call translation interface to execute translation processing to to-be-processed text, generate corresponding translation text, based on translation text, corresponding text content is executed replacement processing, and according to the text mark of to-be-processed text, translation text is added to target language type corresponding language package.

The utility model discloses a monitoring system, which belongs to the technical field of medical equipment information monitoring and comprises medical equipment, the input end of the medical equipment is electrically connected with a temperature sensor, a humidity sensor and an electric leakage sensor respectively, and the output ends of the temperature sensor, the humidity sensor and the electric leakage sensor are electrically connected with an information acquisition module. And the output end of the information acquisition module is electrically connected with a data transmission module. By means of the design of the circuit, real-time monitoring of the temperature and humidity environment and the electricity utilization environment of the medical equipment can be effectively achieved, detected data information can be transmitted to a far-end host in real time, remote monitoring is achieved, and the temperature and humidity environment and the electricity utilization environment of the medical equipment can be effectively monitored by matching internal standard information values set in advance. The data information can be automatically matched, and when the information is abnormal, the sound-light alarm unit can be automatically controlled to give an alarm and produce sound, so that the safety and the practicability of the system during use are effectively improved.

The present invention is applicable to the field of computer technology, and provides a method for extracting features from appearance intelligent detection, a computer system and a storage medium. The method comprises the steps of importing CAM data of a target drawing, performing graphic analysis and magnification conversion on each target graphic in the target drawing, automatically matching the graphic elements of the target graphic with a preset template, and extracting the graphic elements of the target graphic in the target drawing through the preset template. The present invention effectively solves the problem of programming difficulties in the early stage of detection and improves detection efficiency.

This application relates to a method for generating character consistency images based on multi-level LoRA training, comprising: performing low-rank adaptation training on multiple preset low-level generation models based on facial feature images and their corresponding structured facial feature semantic labels, generating facial feature LoRA weights that match each low-level generation model; loading the corresponding facial feature LoRA weights through a routing mechanism to generate a reference face image of the target character and extracting the target character's identity identifier; obtaining a multi-view extended map generated based on the reference face image, performing data augmentation on the reference face image and the multi-view extended map to construct a character training set; using the character training set to perform low-rank adaptation training on the low-level generation models to obtain character LoRA weights; and generating a consistency image of the target character based on the character LoRA weights. This method addresses the problems of character identity being easily affected by the inference environment and multi-view identity degradation in existing technologies, improving the stability of cross-view character consistency image generation.

The invention discloses a computer-aided oracle-bone conjugation method of a full-scale contour feature decomposition matrix. The method comprises the following steps: firstly, extracting an external edge contour of an oracle bone rubbing by utilizing a maximum between-class variance method, morphological operation and an edge tracking algorithm; secondly, converting edge contour pixels of the oracle bone rubbing into a coordinate sequence, and extracting angle features, distance features and end point features of the oracle bone rubbing under all scales by using a full-scale contour feature decomposition matrix to obtain fractal information of an oracle bone edge muck; then, a candidate ballast fragment to be matched is positioned through slicing and cyclic shift operation of a full-scale contour feature separation matrix, and companding processing is carried out on edge fractal features under all scales through nonlinear transformation; and finally, performing automatic matching by taking the Euclidean distance and the large amplitude coefficient proportion as similarity measurement, and determining an oracle bone rubbing set for conjugation. Experimental results verify the effectiveness of the method.

The invention relates to the technical field of filter data processing, and provides an automatic matching method for a high-frequency and high-precision filter, which comprises the following steps of: acquiring operation data and signals of the filter, converting the operation data and signals into digital signals, and constructing an automatic matching simulation model based on historical data. And receiving a matching task demand, performing simulation operation to obtain a matching result, and comparing the matching result with an actual matching result. And if the difference exceeds a preset range, detecting and optimizing a matching rule. And meanwhile, constructing an operation data simulation model by utilizing task demand historical data and operation historical data, generating simulation data for matching, extracting data features for unsuccessful matching conditions, and optimizing a matching rule by adopting a genetic algorithm. Automatic matching of the high-frequency and high-precision filter is achieved, matching efficiency and accuracy are improved, the method is suitable for the fields of communication, radar, sonar and the like, and the problem that an automatic filter matching system in the prior art cannot effectively deal with complexity and variability of high-frequency signals is solved.