29results about How to "Realize rationality" patented technology

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle target classification matching strike control method and system based on deep learning, and the method comprises the following steps: S1, collecting the original environment data of an unmanned aerial vehicle flight region, carrying out the preprocessing of the original environment data, and generating multi-mode perception data; and S2, inputting the multi-modal sensing data into a pre-constructed deep learning classification network, extracting multi-level depth features of the target through the deep learning classification network, carrying out classification identification on the target based on the multi-level depth features, and outputting target category information and target position information of the target. The multi-modal sensing data is input into the deep learning classification network for target recognition, the multi-modal fusion sensing mode can give full play to the complementary advantages of different sensors, high target recognition accuracy can still be kept in complex environments such as night, low illumination and severe weather, and the adaptive capacity of the system to environment changes is remarkably improved.

The utility model belongs to the technical field of RTO furnaces, and discloses an RTO furnace energy-saving blowback device which comprises a bottom plate, a furnace body is fixedly arranged on the upper surface of the bottom plate, a blowing pipeline is fixedly arranged on one side of the furnace body, an air mixing box is fixedly arranged at one end of the blowing pipeline, an RTO fan is fixedly arranged on one side of the air mixing box, and a blowing fan is fixedly arranged on the other side of the blowing pipeline. The lower surface of the RTO fan is fixedly connected with the bottom plate, a high-temperature bypass is fixedly arranged on one side of the furnace body, a high-temperature air mixing box is fixedly arranged on one side of the furnace body, and the high-temperature air mixing box is fixedly connected with the lower end of the high-temperature bypass. The blowback operation can be carried out on equipment, the use of an RTO system fan is reduced, reasonable distribution, regulation and control of gas entering the furnace body can be realized through the combustion chamber and the air distribution chamber located below the combustion chamber, sufficient combustion of the gas in the combustion chamber is ensured, and the combustion efficiency is improved.

This utility model relates to the field of civil engineering technology, specifically a pile foundation shaking table test device. It includes a shaking table body, a container on top of which holds soil and a pile foundation model. The container includes a coaxially arranged rigid inner frame and a rigid outer frame. A flexible sidewall structure is provided between the rigid inner frame and the rigid outer frame. The flexible sidewall structure consists of circumferentially spliced ​​flexible plates and multiple sets of micro-springs connecting the inner surface of the flexible plates to the outer surface of the rigid inner frame. The top and bottom of the flexible plates are connected to the rigid inner and outer frames via sliding guide components to allow radial displacement of the flexible plates in the horizontal plane. This pile foundation shaking table test device, by improving the boundary structure, effectively reduces the soil boundary effect, more realistically simulates the interaction between the pile and soil system under seismic loading, and improves the accuracy of the test.

The utility model relates to the technical field of mold accessories, in particular to a self-lubricating mold guide device which comprises a guide sleeve installed on a fixed mold of a mold and a guide column installed on a movable mold of the mold. The guide column is located in the guide lubricating cavity and is in sliding connection with the guide lubricating cavity, an upper flow channel arranged in the vertical direction is formed in a shell of the guide sleeve, a flaring cavity is formed in the bottom of the upper flow channel, and a side edge inlet hole communicated with the guide lubricating cavity is formed in the inner side cavity wall of the flaring cavity. A lower runner is arranged on the bottom wall of the flaring cavity, a bottom runner is arranged at the bottom of the lower runner and located in a bottom shell of the guide sleeve, and a plurality of bottom overflow holes communicated with the guide lubricating cavity are formed in the top wall of the bottom runner. The utility model is convenient for self-lubricating operation, is not easy to wear, and is favorable for prolonging the service life.

This utility model discloses a single-stage material pusher device, belonging to the technical field of feeding equipment. The single-stage material pusher device includes a pusher plate and two mounting bases. A linear guide rail is fixedly mounted on the top of the pusher plate, and a dual-output shaft reducer is mounted on the bottom of each mounting base. A swing arm is mounted on the longitudinal output shaft of the dual-output shaft reducer. A connecting piece is provided between one end of the swing arm and the top of the linear guide rail. By utilizing the coordinated operation of the linear guide rail, dual-output shaft reducer, swing arm, connecting piece, and guiding mechanism, it achieves precise and efficient pushing action, solving the problems of poor stability and easy material deviation and drop in traditional pusher devices. It ensures the stability of the material during the pushing process and can flexibly adjust the pushing force and speed according to materials of different specifications and weights to meet diverse production needs, overcoming the lack of flexibility of traditional pusher devices when facing different materials.

This invention provides a production collaborative control method and system based on process routes, belonging to the field of control. It includes constructing a graph model with production units and workpieces as nodes, where edges represent process flow and resource dependencies; encoding the real-time status of nodes and process route features to generate initial node features; calculating the proportion of completed processes for workpiece nodes as a completion scalar; calculating the original attention score based on the initial features and edge relationships; for workpiece nodes, correcting the score using an asymmetric decay function adjusted by completion based on the upstream and downstream positions of neighboring nodes in the process route to obtain attention coefficients, and aggregating neighbor features accordingly; inputting the aggregated features of all nodes into a decoder, where a resource selection module calculates the execution probability; a process sequencing module determines the execution order; and finally, outputting production collaborative control instructions. This invention solves the problem of existing technologies being unable to identify the different importance of process sequencing in decision-making under complex conditions.

The invention belongs to the field of power system optimization control, and particularly relates to a network-group-user optimization scheduling system based on a double-layer game optimization model, and the system builds a double-layer game optimization model of a power distribution network-production and elimination user group and a double-layer game optimization model of production and elimination user group-production and elimination users. The upper layer of the double-layer game optimization model is a master-slave game model of the power distribution network and the production and elimination user group, and the power distribution network makes a power purchase price and upper and lower standby prices by taking the optimal operation efficiency of the power distribution network as a target so as to guide the production and elimination user group to optimize production and elimination user resources; the lower layer of the double-layer game optimization model is a production and disappearance user group and a master-slave game model of the production and disappearance users, and the production and disappearance user group formulates an electricity purchase price and upper and lower standby prices so as to excite each production and disappearance user to adjust a charge and discharge strategy of energy storage of the production and disappearance user and the electric quantity and standby capacity transacted with the production and disappearance user group. By constructing a double-layer game optimization model, the operation efficiency of each main body is maximized, and reasonable allocation and scheduling of flexible standby resources in the power system are realized.

The application discloses an intelligent control method and device for multi-warehouse and mixed stacking, computer equipment and a storage medium. The method comprises the following steps: receiving an outbound order and analyzing the same to generate system state snapshot information; planning the outbound sequence and stacking position of goods according to the system state snapshot information and a preset heuristic rule, and generating a stacking task allocation scheme; controlling a shuttle vehicle to take the goods out of the warehouse according to the planned sequence and transport the goods to the designated position according to the stacking task allocation scheme; transporting an empty pallet to the position and lifting the empty pallet to the stacking height according to the stacking task allocation scheme; stacking the goods on the empty pallet according to the stacking task allocation scheme; and after the stacking is completed, wrapping and packaging the pallet, and transporting the packaged pallet to the target position. The method of the application can improve the overall work efficiency, intelligent degree and collaborative performance of the warehouse logistics system.

The application discloses a kind of carbon emission estimation methods based on remote sensing, it is related to remote sensing technical field.The method includes: step 1: reading target area boundary, obtains a single time phase orthographic optical remote sensing image and is cut out to form basic image;The basic image is divided into several carbon activity units according to uniform grid;Step 2: on the scale of carbon activity unit, construct observation field atlas, process field atlas and income and expenditure field atlas, and align three field atlas with uniform index;By inversion selector, determine the only growth trajectory in each carbon activity unit and the discrete grade of the artificial carbon emission corresponding to the only growth trajectory;Step 3: on the scale of carbon activity unit, generate pixel level artificial carbon emission estimation graph and grid list.The present application can improve the accuracy of carbon source identification while maintaining spatial resolution, and enhance the stability and rationality of estimation results through multi-domain coupling constraint and scenario coverage.

This invention belongs to the field of corrosion information technology and relates to a corrosion data and control platform. The corrosion data and control platform designed in this invention includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module, and a system management module. The corrosion big data management module is used to connect the data interface of the corrosion business system; the risk assessment module is used to calculate risk assessment values ​​based on the operating data of the site and pipeline; the corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; the overall corrosion control module is used to realize the input or update management of corrosion control information; and the system management module is used to manage the corrosion data and control platform. This platform automates data acquisition, structuring various types of corrosion data, such as site basic data, corrosion failure data, and indoor laboratory data, into a database for centralized and unified management.

The application relates to a loan quota credit method, device and equipment, which comprises the following steps: obtaining credit application information of a loan party, and obtaining financing credit evaluation information and prior business verification data of the loan party from a pre-constructed credit evaluation alliance chain; generating current business verification data according to the obtained current evaluation business data of the loan party, an investment party and a guarantee party, and verifying the prior business verification data according to the current business verification data; after verification, verifying the credit application information based on the financing credit evaluation information; if the credit application information meets preset credit conditions, obtaining credit quotas given by each financial institution in a pre-constructed credit alliance chain; determining a loan quota according to the credit quotas given by each financial institution, and if the loan quota meets preset consensus conditions, storing the loan quota in the credit alliance chain. The fairness, independence and verifiability of the credit quotas given by the financial institutions are ensured, and the individual evaluation risk of the financial institutions is effectively reduced.

The utility model discloses a combined storage device for low-value consumables commonly used in an operation room, which comprises a box body, a storage device, a disinfection device and a control device, and is characterized in that two cabinet doors are hinged to one end of the box body; the storage device comprises a storage assembly, a storage assembly and a sensing assembly, and the storage assembly is slidably arranged on one side of the interior of the box body; the storage assembly is arranged on the other side in the box body; the induction assemblies are arranged in the storage assemblies respectively. The disinfection device comprises a disinfection assembly, and the disinfection assembly is arranged at the bottom in the box body; the control device comprises a control assembly, the control assembly is arranged on one of the two cabinet doors, and the control assembly is connected with the induction assembly and the disinfection assembly. Therefore, the storage and storage assembly achieves classified storage of the consumables, the searching and operation efficiency is improved, the induction assembly monitors inventory in real time and prevents shortage, the disinfection device guarantees sanitation of the consumables, and the modular design meets the diversified requirements of an operation room.

The application discloses a Tibetan prosody structure prediction method based on syntax information, relates to the technical field of speech synthesis, and is applied to the prosody structure prediction field in Tibetan speech synthesis. The Tibetan prosody structure prediction method based on syntax information comprises the following steps: S1, Tibetan text analysis and virtual word connection quantization are completed, syntax probability, hierarchical focus and pause difference are extracted, and a Tibetan prosody prediction database is stored and constructed after preprocessing; S2, boundary discrimination is performed based on virtual word connection relationship strength, influence range hit marking and word sequence distance; S3, entropy feature analysis is performed through syntax role probability data and boundary determination data; S4, three-layer prosody boundary type sequences are generated according to boundary assignment, and over-dense pauses are inhibited; and S5, rhythm intensity evaluation is performed through pause duration difference and syntax information entropy data. The problems of pause confusion and increased understanding burden caused by the misplacement of prosody and semantic hierarchy in Tibetan long speech synthesis are solved.

The application provides a decision support method and system based on AIGC integrated clinical data and knowledge base, and relates to the technical field of intelligent diagnosis and treatment. The method comprises the following steps: receiving a natural language query for a patient; standardizing the natural language query by using a term mapping network and an entity recognition model to obtain standardized clinical terms; generating a clinical decision backbone based on the standardized clinical terms and a preset clinical knowledge graph by using a meta-path algorithm; and generating a clinical decision suggestion containing traceability information based on a prompt engineering strategy and the clinical decision backbone by using an AIGC model. The application can realize dynamic traceability and rationality checking of diagnosis and treatment suggestions, significantly improve the accuracy of clinical decision and the trust degree of doctors, and provide reliable technical support for individualized precision medicine.

This invention discloses a data acquisition and visualization processing system based on big data analysis, belonging to the field of data processing technology. It includes a resource allocation component that collects system load data and business demand data in real time, and weights and fuses system load, business demand, and resource elasticity coefficients to generate dynamic resource quantities. A visualization quality assessment component monitors resource utilization efficiency and data loading efficiency in real time, and dynamically adjusts the visualization rendering quality score by combining the error degree between the quantified visualization results and the original data. A dynamic threshold adjustment component analyzes visualization quality and system resource status in real time, adjusts the data hierarchy division threshold through a closed-loop feedback mechanism, and generates an adaptive threshold adjustment strategy based on differences in visualization quality and resource elasticity. This invention continuously optimizes resource allocation and data processing strategies based on visualization quality and resource status by improving resource utilization, enhancing visualization quality, strengthening system stability, and improving self-optimization capabilities.

The invention discloses a hammering pile sinking device for intense pulse airflow targeted resistance breaking and a using method, and relates to the technical field of building engineering foundation construction, and the hammering pile sinking device comprises a heavy hammer and related parts, an intense pulse gas generation system and a targeted resistance breaking device. The counter weight and related parts provide continuous hammering force through circulating motion of the counter weight, and the continuous hammering force is transmitted to the precast pile through the force transmission cylinder, the pile head plate and the guide cap and guides the pile body to vertically sink; the intense pulse gas generating system generates intense pulse gas flow which is conveyed to a pile tip through an exhaust pipe and a slurry gas pipe, the flow direction of the gas flow can be controlled through a valve, and excess pore water pressure dissipation is assisted. The targeted resistance breaking device receives the hammering force and the strong pulse airflow to achieve targeted resistance breaking pile sinking. The device can effectively improve the pile sinking efficiency and stability, and is suitable for pile sinking construction under different geological conditions.

The application provides a power transmission line inspection path planning method and system based on multi-source data fusion, and the application constructs a tower corresponding track feature data set by mining the correlation among tower latitude and longitude, vehicle track, walking track and road network data. On this basis, three optimization algorithms are used to plan the optimal inspection path when a single person works on a single line, the optimal inspection path when multiple people work is planned based on a k-means clustering algorithm, and a new group inspection mode of spatially related towers is proposed by dividing the inspection area into communities. The application establishes a line inspection path planning model from different levels and different dimensions, provides strong support for power transmission line inspection path planning, inspection work plan development and vehicle management, realizes the rationalization and intelligentization of power transmission line inspection multi-level work, and achieves the purpose of shortening the inspection time and improving the inspection efficiency.

The utility model provides a kind of open-pit mine resource reserve real-time monitoring and data acquisition device, including trapezoidal pier base, reinforcing bar connecting rod, device support rod.The device integrates multispectral camera, three-dimensional laser scanner and laser radar sensor, realizes multidimensional accurate data acquisition, can comprehensively reflect mine material composition, topography and surface change.Through signal amplifier and wireless data transmission connection antenna, high-efficiency stable transmission data to remote center.Adjustment chain, linkage swing lever mechanism can flexibly adjust sensor angle.Trapezoidal pier base ensures that device is stable.The device overcomes the deficiency of traditional monitoring means inaccurate data, poor real-time, inconvenient adjustment, improves resource utilization, ensures safety in production, promotes open-pit mine sustainable development.

The utility model relates to the technical field of glass, in particular to electric heating automobile glass which comprises a silica gel outer frame, two symmetrically-arranged placing grooves are formed in the inner wall of the silica gel outer frame, the upper surface and the lower surface of the silica gel outer frame are each provided with a set of square grooves, the inner wall of each set of square grooves is provided with a connecting groove, and the connecting grooves are connected with the silica gel outer frame. The upper surface and the lower surface of the silica gel outer frame are each provided with a set of strip-shaped groove, the graphene coating is coated on the surface of the glass inner layer, an electric connection structure of the flexible circuit board and the metal electrodes is combined, and the efficient and uniform electric heating function can be achieved. The graphene coating has excellent electric conduction and heat conduction performance, and can quickly generate heat after being electrified and uniformly conduct the heat to the first glass outer layer and the second glass outer layer to form a synergistic heating effect of the three layers of glass. According to the design, fog, accumulated snow or frost on the glass surface can be quickly eliminated, the sight definition of a driver is improved, and the driving safety performance is remarkably improved.

Embodiments of the present application disclose a torque distribution method, device, equipment and medium for a multi-motor system. The method comprises: acquiring a pedal opening degree and a current speed of a current vehicle, and determining a current demand torque of the current vehicle according to the pedal opening degree and the current speed; determining at least one candidate torque distribution mode matched with the current demand torque; determining, for any candidate torque distribution mode, a candidate torque distribution combination of different motors in the candidate torque distribution mode; determining motor output powers corresponding to each candidate torque distribution combination in different candidate torque distribution modes; and selecting a target torque distribution combination from each candidate torque distribution combination according to the motor output powers of different candidate torque distribution combinations. The above scheme realizes reasonable distribution of motor torques for the multi-motor system.

The utility model discloses a diaphragm type energy accumulator pressure balancing device, belongs to the technical field of energy accumulators, and solves the problem that a diaphragm in an energy accumulator is inconvenient to protect. Comprising an energy accumulator shell, a heat dissipation mechanism and a pressure adjusting mechanism are fixedly connected to the outer surface of the energy accumulator shell, a diaphragm body is arranged on the inner wall in the energy accumulator shell, and the pressure adjusting mechanism comprises a plurality of sets of mounting bases fixedly connected to the outer surface of the energy accumulator shell. The pressure inside and outside the diaphragm body is monitored in real time through the pressure adjusting mechanism by means of the high-precision sensor, opening and closing of the pressure release valve are accurately controlled through the control panel, and the pressure intensity is adjusted in time. The precise pressure adjusting function can effectively prevent the diaphragm body from being broken due to too large pressure, normal work of the energy accumulator is guaranteed, and safety and stability of a system are improved.

The invention provides a PPP-AR ambiguity error fixed integrity risk modeling method and device, and belongs to the technical field of satellite navigation integrity, and the method comprises the steps: judging whether the ambiguity of each satellite under each epoch is correctly fixed or not based on a solution separation method, generating an ambiguity fixed label, and extracting related feature information; respectively constructing a logistic regression model and a fault tree analysis model by utilizing the labels and the feature information, establishing an ambiguity error fixed probability model, optimizing the model by adopting K-fold cross validation, and fusing the outputs of the logistic regression model and the fault tree analysis model to obtain a steady error fixed total probability; in combination with the space signal ranging error of the worst situation of each satellite, the square of the ranging error is used as a weight to distribute the total probability, and the error fixed probability of each satellite is obtained; based on the error fixed probability of each satellite, a satellite exclusion mechanism is constructed, an integrity model is introduced, and the protection level containing risk items is calculated. According to the method, the integrity and continuity risk requirements of the user are met.

The invention discloses a cooperative control method and device, electronic equipment and a computer program product. According to the method, firstly, a detection image shot by an unmanned aerial vehicle in real time and longitude and latitude coordinates of a corresponding image vertex are obtained, and therefore suspected moving objects are recognized, and the water unmanned equipment can obtain target information exceeding the visual angle range of the water unmanned equipment; then, determining and removing objects corresponding to the overwater unmanned equipment by utilizing the longitude and latitude coordinates of the overwater unmanned equipment, and correcting the longitude and latitude coordinates of the objects of other suspected moving objects, so as to realize the unified expression of the target position information on the overwater unmanned equipment side; on this basis, a moving object set is screened through a state estimation algorithm, trajectory planning is carried out on the water unmanned equipment according to the moving object set, meanwhile, the unmanned aerial vehicle and the water unmanned equipment are controlled to move cooperatively, and therefore effective target recognition and reasonable cooperative control under the unmanned aerial vehicle auxiliary sensing condition are achieved.

This invention relates to the field of data storage, and more particularly to an AI-based intelligent health management method and system for equipment. The method includes: determining the operating status of the target equipment based on its operational stability and operational diversity, and determining the required data segmentation method based on the operating status; determining the target equipment category based on the data segmentation stability within the operational analysis cycle; determining the data processing method based on load characterization values; when optimizing the screening based on equipment coordination reference values, determining the influence depth of the target equipment based on the hierarchical retrieval frequency, and determining whether to add auxiliary screening parameters based on the equipment coordination balance; determining whether there are storage conflicts based on the change frequency, and adjusting the maximum adaptation length for storage media with storage conflicts. This invention improves the storage effectiveness of target equipment operating data.

This invention discloses a hammer-driven pile driving device and its application method using a high-pulse airflow targeted resistance breaking mechanism, relating to the field of foundation construction technology. The device includes a hammer and related components, a high-pulse gas generation system, and a targeted resistance breaking device. The hammer and related components provide continuous hammering force through its cyclical motion, which is transmitted to the precast pile via a force transmission cylinder, pile head plate, and guide cap, guiding the pile body to sink vertically. The high-pulse gas generation system generates a high-pulse airflow, which is delivered to the pile tip through an exhaust pipe and a slurry pipe. The airflow direction can be controlled by a valve to help dissipate excess pore water pressure. The targeted resistance breaking device receives the hammering force and the high-pulse airflow to achieve targeted resistance breaking during pile driving. This device can effectively improve pile driving efficiency and stability and is suitable for pile driving construction under different geological conditions.

The application provides a data processing method and device of educational software, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: obtaining original data packets generated when a target educational software runs, wherein the original data packets at least comprise context parameters, and the context parameters comprise called algorithm identifiers, input parameters and output results; preprocessing the original data packets to generate algorithm data records; extracting structured algorithm archives of at least one algorithm to be verified from the algorithm data records, wherein the structured algorithm archives comprise static attribute information, dynamic running characteristics and model attribute information; performing risk assessment on the structured algorithm archives of each algorithm, determining risk scores of each algorithm, and performing differentiated hierarchical storage on the structured algorithm archives of the algorithms based on the risk scores of the algorithms, so that the whole-process traceability of algorithm behaviors in the educational software is realized, and the algorithm transparency is enhanced.

This application discloses a retrospective billing method, apparatus, system, electronic device, and storage medium. The method includes: sending application information for first transaction data to a first data source, causing the first data source to send the first transaction data to a second data source; obtaining multiple second transaction data entries for retrospective billing from the transaction data stored in the second data source; billing each of the multiple second transaction data entries separately to obtain a retrospective billing sub-result; and summarizing the various retrospective billing sub-results to obtain a retrospective billing result. This technical solution, in retrospective billing, no longer calculates based on the total amount of historical transaction data, but instead bills each historical transaction data entry separately and then summarizes the results. This ensures that the retrospective billing result comes from each traced historical transaction data entry, providing finer granularity, maintaining consistency with real-time billing standards, and facilitating subsequent reconciliation for trading institutions, thus improving the reconciliation service experience for trading institutions.

The invention relates to a coal preparation plant stock bin coal quality point cloud boundary point data processing method and related components, and is applied to the technical field of coal preparation plant data processing. Calculating the normal direction of each original point in the original point set; determining a first boundary point and a second boundary point based on the normal direction, the distance between the original points and a preset point interval; fitting the xy plane coordinate of the first boundary point through a linear least square method and a standard equation of a circle, and calculating a circle center coordinate; scaling the first boundary point based on the circle center coordinate to determine a projection point; determining an interpolation point based on the projection point, the first boundary point and a preset point interval; correcting z values of the projection point and the interpolation point based on the first boundary point and the second boundary point; and determining a target point set based on the original point set, the corrected projection points and the corrected interpolation points. The method has the effect of improving the comprehensiveness and accuracy of the coal quality point cloud data.

This invention provides a power supply control method and device, relating to the field of automotive electrical technology. It can respond in real-time to changes in the state of vehicle electrical equipment, accurately acquire the actual power demand of the entire vehicle, and adaptively adjust the power consumption status of each electrical appliance and the overall vehicle power supply strategy based on the real-time temperature of the power supply equipment and the remaining battery charge. This ensures that the battery power output matches the vehicle's actual power demand and current temperature conditions. This invention avoids energy waste caused by power supply redundancy and prevents insufficient power supply from affecting the normal operation of electrical equipment, achieving efficient utilization of battery energy. By dynamically adapting the power supply strategy to temperature parameters, it can effectively mitigate the adverse effects of extreme conditions such as low and high temperatures on battery power efficiency, improve the battery's power supply stability and utilization rate in different environments, and achieve comprehensive utilization and reasonable maintenance of battery performance.