24results about How to "Realize automatic matching" patented technology

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 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 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 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.

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.

This invention provides a wafer defect detection method, system, and storage medium based on image recognition. The method includes the following steps: acquiring wafer surface images and extracting defect coordinates, generating defect point cloud data in a defect analysis space. A topological network is constructed to extract its topological skeleton features to characterize the defect distribution pattern, and the point cloud data is transformed to the spatial frequency domain to identify its periodic array features. Combining these two features, candidate motion equations are matched from a pre-set mechanical motion library. Through inverse trajectory fitting and residual minimization calculation, the mechanical motion equation with the highest confidence level matching the actual defect distribution is determined. Finally, based on this equation, the specific faulty machine component is located. This invention achieves the effect of automatically matching faulty equipment after identifying wafer defects.

This invention relates to the field of desulfurization technology for reclaimed rubber, specifically a desulfurization treatment device and method for waste tire reclaimed rubber, comprising: a treatment tank, on which a gas guide pipe is installed, the gas guide pipe having an "L"-shaped structure; a support arm, connected to the gas guide pipe, the support arm having multiple pressure relief ports equidistantly arranged on one side facing the bottom of the treatment tank; a pressure sensing component, connected to the gas guide pipe, the pressure sensing component being able to drive the support arm toward or away from the bottom of the treatment tank according to the pressure in the gas guide pipe; a guide plate, disposed in the treatment tank and cooperating with the pressure relief ports, enabling the gas and liquid in the treatment tank to rotate; and a linkage component, connecting the pressure sensing component and the guide plate, the linkage component being able to drive the guide plate to rotate to change its deflection angle when the pressure in the gas guide pipe changes, thereby increasing the retention time of the waste gas in the purification liquid and improving the treatment effect.

The invention relates to the technical field of mine beneficiation, and discloses an optimization method and system for a precious metal ore beneficiation process, according to the method, in the primary beneficiation link of precious metal ore, a combined process of a jaw crusher, a vibrating screen, a jigger, an auxiliary screening device and an intelligent regulation and control system is adopted to improve the recovery rate of fine-fraction minerals, the jaw crusher completes coarse crushing, the vibrating screen achieves size fraction grading, the jigger separates target minerals and gangue based on gravity difference, the basic separation requirements of small and medium-sized mines are jointly met, the optimized technology is used for auxiliary screening and secondary recovery of a shaking table, an intelligent regulation and control system replaces manual experience, and the working efficiency is improved. The stability and continuity of sorting can be effectively guaranteed; by means of the refined screening process design, the overall screening precision and the quality of qualified materials are improved, and on the basis that original process equipment is simple, energy consumption is low and investment cost is controllable, the screening precision is optimized by adjusting intelligent sorting parameters in a self-adaptive mode, and meanwhile the system stability is maintained.

The application discloses a song management method and device and a storage medium, and relates to the technical field of computers and the Internet. The method comprises the following steps: extracting an audio voiceprint feature of a to-be-processed song audio, wherein the audio voiceprint feature of the song audio is used for indicating the sound characteristics of the song audio; determining a candidate singer matched with the audio voiceprint feature of the song audio from a plurality of candidate singers based on voiceprint management information, so as to obtain a first associated singer of the song audio, wherein the voiceprint management information is used for indicating the sound characteristics of the plurality of candidate singers; and establishing an association between the song audio and the first associated singer, so as to obtain singer association information of the song audio, wherein the singer association information is used for indicating the first associated singer associated with the song audio. The method effectively improves the accuracy and efficiency of the association between the song audio and the singer.

The utility model provides a full-automatic thrust calibration system for a rocket engine. The full-automatic thrust calibration system at least comprises a controller, a thrust frame, a standard force providing module, a standard force sensor, a working force sensor and an NI data acquisition case system, the thrust frame is used for receiving standard force and forming working force; the standard force providing module is connected with the controller and outputs required standard force to the thrust frame under the control of the controller; the standard force sensor is installed on the thrust frame and used for measuring the standard force output by the standard force providing module and feeding back the measurement result to the controller. The working force sensor is mounted on the thrust frame and is used for measuring the working force of the thrust frame; and the NI data acquisition case system is in communication connection with the working force sensor and the controller and is used for receiving an acquisition signal of the controller and sending the acquired signal to the controller after acquiring measurement data of the working force sensor.

The application discloses a kind of based on multi-modal fusion's emission compliance self-checking and self-correcting system, comprising: multi-modal data acquisition module, for collecting the multi-source data of enterprise emission facilities and pre-processing;Multi-modal feature coding module, for respectively feature coding to multi-modal data set;Double-channel feature construction module, for constructing current channel feature and contrast channel feature;Contrast space-time cross attention feature extraction module, for by double-channel contrast space-time cross attention network, output comprehensive space-time difference feature representation;Regulation knowledge graph matching module, for generating compliance determination result and regulation clause information;Self-correcting task generation module, for generating self-correcting task;Task execution and closed-loop management module, for recording self-correcting task execution process.The application adopts double-channel contrast space-time cross attention network, realizes emission behavior intelligent identification and automatic compliance self-checking and self-correcting.

The application provides an automatic matching method of cross-modal neuron images, which is used for matching corresponding neurons on a two-dimensional two-photon cell image and a three-dimensional fMOST cell image, and comprises the following steps: S1. fMOST cell image library construction; S2. two-photon cell image preprocessing; and S3. cell image matching. The automatic matching method of cross-modal neuron images is used for constructing a two-dimensional fMOST cell image library by using a three-dimensional fMOST cell image, and realizes automatic matching of a two-photon cell image and an fMOST cell image based on local cell image similarity, so that artificial intervention is not needed, human experience is not relied on, and human subjectivity is not influenced, and the accuracy is relatively high, and the method can be used for marking relatively dense brain image data.

The invention provides a hot end identification method, a hot end, hot end identification equipment and a computer storage medium. The hot end recognition method is applied to the 3D printer in the hot end recognition system, the 3D printer comprises at least two hot ends, and the hot end recognition method comprises the steps that identity recognition information of the hot ends connected with the 3D printer is obtained; determining the type of the hot end according to the identity recognition information; and corresponding printing parameters are matched according to the type of the hot end, so that the 3D printer is indicated to adopt the corresponding printing parameters for printing when the hot end is used. Through the hot end recognition method, automatic recognition of the hot end on the printer is achieved, the problem of pain points caused by manual configuration of a user is solved, and the automation degree and reliability of a printing system are improved.

The invention discloses a high-purity chemical supply and conveying device for semiconductor chip manufacturing, and belongs to the technical field of chemical conveying, the high-purity chemical supply and conveying device comprises an exhaust mechanism used for exhausting to-be-conveyed chemicals, and the exhaust mechanism is provided with a conveying mechanism used for conveying the chemicals. The conveying mechanism is provided with a switching mechanism used for switching conveying paths. Hydrodynamic force and exhaust action are mechanically linked, the stirring fan blades are driven by fluid entering the pipe, and finally the deflation gear is driven to rotate, so that the flow of chemicals is in direct proportion to the rotating speed of the deflation gear, the deflation gear periodically presses the upper spherical disc with the ventilation cylinder through the eccentric pressing column, and therefore the exhaust channel is opened, and the larger the flow is, the larger the deflation gear is. The higher the bubble generation tendency is, the faster the gear rotating speed is, and the more the number of times of opening the exhaust channel in unit time is, so that automatic matching of the exhaust frequency and efficiency with the fluid flow and the bubble amount is achieved, and it is ensured that bubbles can be removed in time at various flow speeds.

The present application relates to the technical field of power equipment monitoring, in particular to a configuration method based on parameter coding and a transformer temperature controller, by establishing the association between coding and configuration set, the key configuration elements such as display control identification, sensor type and function classification are integrated, so that the binding restriction of traditional temperature controller hardware and function can be broken, the quick switching of different configurations can be realized through coding selection, the same device can meet diversified monitoring requirements, and the flexible adaptation ability of the product is significantly improved; meanwhile, the configuration process is standardized, from coding receiving, configuration searching, signal processing to display control decision and logic judgment, a closed loop processing mechanism is formed, the accuracy and efficiency of configuration operation are ensured, the automatic matching of sensor signal processing and function logic is realized, manual intervention in bottom parameter setting is not needed, the risk of operation failure is reduced, and the use convenience of the temperature controller is improved.

The invention discloses an electron beam evaporation rate adaptive control method and system and a storage medium, and relates to the technical field of electron beam evaporation equipment control. The method comprises the following steps: constructing a material parameter library, and calling a PID initial parameter interval in response to a target material; collecting the actual evaporation rate and the vacuum degree of the vacuum chamber in real time; and carrying out iterative optimization on the PID parameters by utilizing a swarm intelligence optimization algorithm. A hierarchical strategy is executed in the optimization process; when the vacuum degree variation amplitude or the rate deviation exceeds a threshold value, optimization is carried out in a relatively large first search range; when the rate deviation is within a second deviation threshold range, optimization is performed within a smaller second search range. And finally outputting the target PID parameter to adjust the power of the electron gun, and updating the parameter to a material parameter library. The method can sense a multi-dimensional environment state, adapts to a complex working condition through a self-adaptive adjustment strategy, and effectively improves the stability and precision of rate control.

This application provides a method and related apparatus for adjusting the oil channels of a transformer spiral coil, relating to the field of transformer design technology. The method includes: determining the zoned containment boundary of the target coil based on limit size configuration, where the zoned containment boundary characterizes the zoned size limit in axial distribution; determining the oil channel containment capacity of each zone based on the target axial size and the zoned containment boundary; determining a bidirectional adjustment range array using the oil channel containment capacity of each zone, where the bidirectional adjustment range array includes the oil channel number adjustment amount of each zone; and traversing the oil channel adjustment range array of each zone to obtain a combination of oil channel number adjustment amounts that satisfy the end-zone linkage constraint, where the end-zone linkage constraint is that the sum of the oil channel number adjustment amounts of non-end-zones lies within the range of the oil channel number adjustment amounts of the end-zone. This application achieves automatic matching and global optimization of oil channel dimensions, improving the efficiency and accuracy of transformer coil design and ensuring the electrical and thermal performance of the product.