61results about How to "Precise management" patented technology

The invention discloses a method and a system for planning an orbital task of a maneuvering satellite, and belongs to the field of spaceflight simulation analysis. The method comprises the following steps: creating a planning task and setting basic parameters of a maneuvering satellite; setting basic parameters of a target satellite and a general control center position point; maneuvering analysis is carried out with maneuvering satellite parameters, target satellite parameters and the position point of the master control center as constraints, and a task time window meeting the constraints is obtained; after the task time window is determined, an orbital maneuvering multi-strategy algorithm is called for calculation to obtain a maneuvering mode and a maneuvering parameter list of the maneuvering satellite arriving at the task point; and finally, entering a planning event processing module, sorting events according to time, judging whether impact events exist or not, and outputting a planning task success / failure state. The general control center evaluates the fuel remaining amount in real time based on a fuel formula and supports a user to dynamically formulate and issue an orbital transfer scheme, and integrated planning of maneuvering satellite task window calculation, maneuvering strategy selection and safety check is achieved.

This invention discloses a molecular genetics laboratory management system for a genetics center, belonging to the field of laboratory information management technology. It provides real-time monitoring of sample status, dynamic scheduling of subsequent tasks, and early warnings for near-expiration and overdue samples. Experimental data is collected through structured electronic task sheets, and the analyzed genetic variation information is dynamically updated to a mutation database. Historical variation data is intelligently recommended for report generation. Report content is automatically populated based on variation data and adapted to project templates. It supports configurable multi-level review processes, enabling online collaboration and operation tracking. Based on review results, first-use acceptance and automatic deduction of inventory for reagents and consumables are performed. Based on resource linkage and traceability, gene disease databases and mutation databases are collaboratively constructed. This system achieves fully automated management from intelligent sample monitoring and scheduling to automatic report generation and review, significantly improving the operational efficiency, data accuracy, and resource utilization of the genetics laboratory.

The application discloses a liquid crystal screen data optimization management system and method based on big data analysis, and relates to the technical field of electric digital data processing. The liquid crystal screen data optimization management system based on big data analysis comprises a standby power consumption data acquisition management module, a sleep power consumption data acquisition management module and a power consumption data storage management module. The standby power consumption data acquisition management module is used for judging whether a sleep mode switching instruction is sent according to the standby power consumption data acquisition influence result, if yes, the sleep power consumption data acquisition influence result is obtained, otherwise, the standby power consumption data acquisition optimization management is executed, and finally, whether the power consumption data uploading storage management is executed is judged according to the obtained sleep power consumption data acquisition influence result, so that the liquid crystal screen power consumption data management is more accurate, and the problem that the influence of the switch from the standby mode to the sleep mode is neglected when the power consumption data of the liquid crystal screen is managed in the prior art is solved.

The utility model discloses a kind of water culture devices for yunnan rhizoma polygonati breeding, it is related to yunnan rhizoma polygonati cultivation technical field, including culture rack, the culture rack is slidably connected with multiple water storage channels, and the water storage channel upper end is provided with culture plate;Multiple planting holes are evenly provided in the culture plate, and the culture plate upper end is connected with multiple fixed components, and fixed component is located planting hole outer end.The utility model design structure is reasonable, it can simultaneously carry different batches, different genotypes yunnan rhizoma polygonati breeding material, while independent water supply head, gate plate can individually adjust the water supply of each water storage channel, water supply frequency, realize the accurate management of "one tank one strategy", satisfy the individualized demand of different breeding material, to improve the success rate of breeding, can avoid the problem of "excessive supply" or "insufficient supply" caused by unified water supply, accurately match the demand of each growth stage of yunnan rhizoma polygonati, save water resource, nutrient solution and other consumables, reduce breeding cost.

This invention provides a multi-functional mesh mattress integrating dynamic pressure reduction and intelligent monitoring, comprising a surface layer, a functional layer, and an inflatable mattress body connected sequentially from top to bottom. A dynamic pressure reduction component is installed on the inflatable mattress body, comprising several air chamber units and several air passages connected to the air chamber units. The air chamber units are arranged in a honeycomb matrix. Several micro-pumps are installed between the inflatable mattress body and the air chamber units, and the air passages are connected to the output ends of the micro-pumps. This invention, by setting up air chamber units, air passages, and micro-pumps, and the honeycomb arrangement of the hexagonal air chamber units and parallel air passages, combined with the coordinated inflation and deflation of the micro-pumps, achieves dynamic adjustment of pressure distribution, avoids prolonged localized pressure, effectively reduces the risk of bedsores, and solves the problem of unavoidable localized continuous pressure in medical mattresses.

This application relates to the technical field of rainwater harvesting and utilization, and in particular to a rainwater harvesting and utilization device for municipal landscaping. The device includes a conveying cylinder, a limiting ring, a movable cylinder, spokes, and a waterproof sheet. The movable cylinder is fitted onto the top surface of the conveying cylinder, and the limiting ring is installed on the top surface of the conveying cylinder. The limiting ring is located at the top and bottom of the movable cylinder, and the spokes are installed on the surface of the movable cylinder. This invention, by setting up an adjustment mechanism, a movable cylinder, spokes, and a waterproof sheet, and through the cooperative relationship between the adjustment mechanism and the movable cylinder components, enables the adjustment mechanism to control the lifting and lowering of the movable cylinder via a motor-driven gear one, gear two, and screw transmission. This achieves the effect of dynamically adjusting the water collection area of ​​the screened waterproof sheet by changing the height of the movable cylinder, solving the problems of low collection efficiency and easy overflow of fixed structures.

This invention discloses a multi-branch battery pack high-voltage system and its control method. The multi-branch battery pack high-voltage system includes: multiple battery pack branches, a charging control module, and a discharging control module. Each battery pack branch includes a battery pack, a battery drain interrupter (BDU), and a bidirectional DC-DC converter module. The battery pack is connected to the input terminal of the BDU. The BDU has a main circuit and an equalization circuit. The main circuit controls the on / off of the main power of the battery pack branch it belongs to. The BDUs of each battery pack branch are connected to each other through the equalization circuit for active equalization between branches. The output terminal of the BDU is connected to the input terminal of the bidirectional DC-DC converter module, which controls the charging and discharging current of its respective battery pack branch. The output terminals of all bidirectional DC-DC converter modules are connected in parallel and then connected to the charging control module and the discharging control module. This invention can solve the circulating current problem between battery packs and improve the stability of the multi-branch battery pack high-voltage system.

The utility model discloses a high-voltage detection and timing H-bridge driving circuit, and belongs to the technical field of motor driving. The high-voltage detection and timing H-bridge driving circuit comprises a high-voltage detection unit, a gate driving unit and an H-bridge circuit, the high-voltage detection unit is connected with the four comparators through voltage division output, and the two groups of comparators are respectively used for comparing different voltage sources to realize accurate high-voltage detection. The grid driving unit comprises a first trigger, a second trigger, a first grid driver and a second grid driver, and effective control over the grid of the H-bridge circuit is achieved through cooperative work of the triggers and the grid drivers. And the grid electrode of the H-bridge circuit is connected to the output end of the grid electrode driver and is used for being connected with an external load driver. According to the utility model, the problem that the motor driving circuit in the prior art is difficult to realize the accurate management of the steering of the motor under the condition that long-time accurate timing control is required is effectively solved.

This application discloses an automatic analysis method and system for exterior component differences in vehicle models, relating to the field of vehicle manufacturing technology. The method includes: establishing an exterior component list library; obtaining the vehicle MBOM (Model Name, Model Number, and Machine Name) list corresponding to the target vehicle model; automatically generating the current version of the exterior component list for the vehicle model by matching the exterior component list library and the vehicle MBOM list with the vehicle MBOM list through part names or function codes; if the current version of the exterior component list for the target vehicle model is not the first version of the exterior component list for the target vehicle model, comparing the current version of the exterior component list with the previous version of the exterior component list to obtain an exterior component difference table; and integrating the vehicle MBOM list and the exterior component difference table to obtain the corresponding vehicle exterior component difference analysis information. This application obtains the exterior component list based on the MBOM list, filters exterior components by comparing them with the exterior component list library, compares version differences, generates a difference report, and realizes the management of exterior component changes for vehicle models.

This application relates to the field of artificial intelligence technology, providing a method and system for intelligent energy consumption management using a cloud-based cutting platform. The method includes: acquiring customer steel plate cutting demand information through the cloud-based cutting platform; extracting elements and deploying cutting schemes from the customer steel plate cutting demand information to obtain steel plate cutting application scheme information; acquiring cutting deployment equipment information and cutting application parameter information based on the steel plate cutting application scheme information; uploading the cutting deployment equipment information and cutting application parameter information to an energy consumption prediction and analysis model to obtain energy consumption calculation and prediction information; adjusting the energy consumption calculation and prediction information based on data error factors to obtain closed-loop energy consumption calculation and prediction information; and performing energy utilization management based on the closed-loop energy consumption calculation and prediction information. This method can achieve precise management of energy consumption, improve energy consumption management efficiency, and thus ensure the rational and scientific utilization of energy.

This utility model relates to aquaculture technology and presents a circulating pond for raising marine fish using brackish water from saline-alkali land. The pond includes a brackish water source, a rearing pond, a water quality conditioning system, a circulating filtration system, an aeration system, and an intelligent monitoring system. The bottom of the rearing pond has a central drain outlet and multiple aeration discs. The pond also contains a level sensor and movable partition mesh. The water quality conditioning system includes a salinity adjustment device, a pH adjustment device, and a mineral supplementation device. The circulating filtration system includes a coarse filter, a biological filter, a precision filter, and an ultraviolet sterilizer. The aeration system includes a Roots blower, an oxygen generator, an oxygen distributor, a dissolved oxygen sensor, a main oxygen supply pipeline, and a ring-shaped oxygen supply pipeline. The intelligent monitoring system includes a central controller, multi-parameter water quality sensors, an online ammonia nitrogen analyzer, a camera, and an alarm.

The utility model relates to the technical field of seedling hole trays, in particular to a seedling hole tray convenient to manage, which comprises a hole tray main body, handles are fixedly connected to the lower parts of the left end and the right end of the hole tray main body, and three through threaded mounting holes are formed in each of the left end and the right end of the hole tray main body. Fixing bolts are movably connected into the two transversely-distributed threaded mounting holes in a threaded mode, two sliding grooves are formed in each of the inner left wall and the inner right wall of the hole tray body, and limiting columns are fixedly connected to the middles of the inner lower walls of the four sliding grooves. According to the seedling raising hole tray convenient to manage, carrying is convenient through the handle, stable fixing is achieved through the threaded mounting holes and the fixing bolts, the sliding grooves and the limiting columns are matched to adjust the seedling raising structure, drainage and water storage are guaranteed through the tray water storage structure, and the problems that a traditional seedling raising hole tray is inconvenient to carry, unstable in fixing, poor in drainage and water storage and the like are effectively solved; the seedling culture management efficiency and the seedling culture quality are obviously improved.

This application provides a thermal management method, apparatus, and medium for an energy storage system. The method includes: acquiring state data of the energy storage system, including an array representing the battery's operating mode and temperature control mode. Each operating mode corresponds to a specific control strategy under different temperature control modes. The control strategy is configured with entry and exit conditions for whether to execute the strategy. If the battery's operating data is detected to meet the entry or exit conditions, the corresponding control strategy is responded to based on the met conditions, controlling the temperature and flow request values ​​output by the liquid cooling system. This application uses an array to represent the battery's operating mode and temperature control mode and configures a flexible control strategy, making it easier to expand and maintain as needed. On the one hand, it achieves precise management; on the other hand, the array-based settings greatly reduce the workload of software development and configuration, improving the efficiency of thermal management configuration and monitoring of the energy storage system.

The application designs a kind of urban vehicle network interaction carbon reduction potential evaluation method, comprising: step S1, according to the interaction characteristics of urban electric vehicle and power grid, the behavior characteristic model of electric vehicle in urban power grid is established to carry out disorder charging, participate in orderly charging and participate in vehicle network interaction;Step S2, considering the steady-state secondary coal consumption characteristics, deep peak regulation characteristics and transient variable load additional coal consumption characteristics of thermal power unit, a high-precision coal consumption characteristic model of thermal power unit is established;Step S3, based on unit combination model, considering the uncertainty of new energy, taking the optimal time window system economy expectation optimal as the objective function, the urban vehicle network interaction carbon reduction potential evaluation model framework is established;Step S4, combined with electric vehicle model and high-precision coal consumption characteristics of thermal power unit, the urban vehicle network interaction carbon reduction potential evaluation model is established based on the framework, and the urban power grid vehicle network interaction carbon reduction potential is evaluated.Compared with the prior art, the application has higher accuracy.

The embodiment of the utility model provides an intelligent distribution box and power supply equipment for temporary power utilization in a construction site, and belongs to the technical field of power equipment. The intelligent power distribution box comprises an incoming cable used for accessing commercial power; the first end of the incoming line circuit breaker is connected with the incoming line cable; the first end of the current transformer is connected with the second end of the incoming circuit breaker; the first end of the shunt circuit breaker is connected with the second end of the current transformer; one end of the wire outlet terminal is connected with the second end of the shunt circuit breaker, and the wire outlet terminal is used for being connected to a load end; and the controller is connected with the inlet wire circuit breaker, the shunt circuit breaker and the current transformer. According to the utility model, real-time monitoring and data analysis are carried out on power utilization data through the intelligent monitoring module, so that the power utilization safety and the energy utilization efficiency can be effectively improved.

A multi-channel integrated device testing system and method includes hardware devices and a PC testing tool. The hardware devices include a USB interface, a wired network interface, a wireless communication module, a Bluetooth module, I / O ports, buttons, and a solid-state system. The USB interface, wired network interface, wireless communication module, Bluetooth module, I / O ports, and buttons are used to establish electrical connections and data interaction paths with a development board. The solid-state system runs on the development board and controls each interface through a driver program, completing the overall functions of signal acquisition, data communication, and peripheral management. The PC testing tool includes a connection management module, a device discovery module, a test execution module, a result processing module, a status configuration module, and a Bluetooth interaction module. This system supports multiple connection methods, integrated testing functions, precise device selection, flexible configuration of judgment criteria, and deep Bluetooth testing capabilities, enabling efficient and stable automated device testing.

This invention discloses a data task orchestration method that supports end-to-end tracing and service-oriented architecture. It accesses multi-source heterogeneous data through pluggable data source adapter components and transforms the data into a unified internal data model. The process model includes start event nodes, batch processing task nodes, stream processing task nodes, gateway nodes, and end event nodes. It breaks the limitations of traditional static FGA models, supporting mixed orchestration of batch and stream processing within the same process model, as well as complex process control based on parallel and inclusive gateways. The traceId mechanism enables end-to-end task tracing, facilitating fault location and operational monitoring.

The application discloses a park energy management and control method and system based on building energy consumption monitoring, relates to the process control technical field of energy management, and executes edge-end monitoring deployment, constructs a park simulation body through park twinning, determines a target energy structure according to energy management emphasis, executes energy consumption overrun analysis and energy scheduling balanced decision-making, determines an energy management and control strategy and reversely transmits the energy management and control strategy to intelligent monitoring equipment for local management, and is used for solving the technical problems that the prior art cannot make light and flexible analysis and decision-making for diversified park energy scenes, leading to redundant processing modes and insufficient scene adaptability of energy management. The application realizes light and efficient analysis based on energy scenes and precise management of park energy management.

This disclosure provides an information indication method, terminal, communication system, and storage medium. The method includes: receiving first information sent by a first terminal, the first information indicating: a measurement result obtained by the first terminal measuring a first reference signal received on a first resource; the first resource being a time-domain and / or frequency-domain resource where the first terminal receives the first reference signal on a beam; and determining whether to switch or not switch beams based on the first information and second information; wherein the second information is used to determine whether a second terminal transmits the first reference signal on the first resource. This results in more precise beam management.

This invention belongs to the field of agricultural planting technology. It discloses a method for analyzing soil nutrient data in agricultural planting areas, including the following steps: S1: Collecting soil nutrient data and environmental data from unit fields within the agricultural planting area. This invention, by setting an equivalent additional energy consumption ratio and integrating a multivariate prediction model that considers real-time soil, environmental, crop status, and management objectives, dynamically outputs the precise net nutrient replenishment amount for each field unit, ensuring the scientific nature of fertilization decisions. During the path planning stage, the equivalent additional energy consumption ratio is calculated for each nutrient-neutral zone to be decided. This ratio quantifies the ratio between the additional comprehensive cost of including this zone in the operational route and the agronomic benefits it can bring. Based on the equivalent additional energy consumption ratio, cost-effective nutrient-neutral zones are included in the final operational route, ensuring that limited fertilizer, fuel, and labor are prioritized for allocation to the unit fields with the highest comprehensive benefits.

This utility model discloses a resource-based insect breeding rack, including a support frame and multiple breeding baskets stacked on the support frame. The support frame consists of a tray and four sets of legs evenly distributed at the four corners of the bottom surface of the tray. The top surface of the tray has right-angled supports at the four corners to accommodate and hold the breeding baskets. The bottom surface is provided with crisscrossing reinforcing ribs in a grid-like structure, integrally formed with the tray. A barcode scanning plate is located at the center of the grid-like reinforcing ribs, with a QR code label affixed to it. The advantages of this utility model are that it enables three-dimensional breeding of resource-based insects, not only increasing the insect carrying capacity but also significantly saving space, increasing breeding density, and ensuring breeding profitability. It facilitates quick and easy information retrieval via barcode scanning, allowing for precise tracking and management of the breeding baskets on the tray during the breeding process, achieving information-based management of resource-based insect breeding, and improving breeding efficiency and management accuracy.

The invention relates to a table tennis practice equipment cleaning demand prediction system based on big data analysis, and belongs to the technical field of data analysis. According to the system, equipment use data and environment data are collected in real time through a data collection module, a pollution index is dynamically calculated through a pollution index calculation module, a future cleaning demand time point is predicted based on a long-short-term memory network, and a decision execution module outputs a cleaning signal according to a prediction result. The problem of resource waste caused by fixed-period cleaning is solved, precise quantification of the equipment pollution state and intelligent prediction of the cleaning requirement are achieved, the maintenance efficiency is remarkably improved, and resource consumption is reduced.

The invention provides a skylight support welding tool and process, and relates to the technical field of skylight support welding, the skylight support welding tool comprises a bottom plate, and the front side of the bottom plate is fixedly connected with an L-shaped fixing plate; the clamping and overturning assembly is arranged at the top of the bottom plate; the number of the electromagnetic anti-falling assemblies is four; and the multi-degree-of-freedom welding mechanical arm assembly is arranged at the top of the L-shaped fixing plate. According to the clamping and overturning assembly, the skylight support can be driven to overturn, welding seams in multiple directions such as the front face and the back face of the skylight support are welded, and the flexibility and adaptability of the welding process are improved; the arranged electromagnetic anti-disengaging assembly can effectively prevent the workpiece from slipping between the clamping plates, and absolute reliability of clamping is guaranteed; and due to the arrangement of the multi-degree-of-freedom welding mechanical arm assembly, the welding head mechanism can flexibly move at multiple angles and in multiple directions in the space, and the technological adaptability of the tool is enhanced.

The invention belongs to the technical field of biology, and particularly relates to a reagent for detecting pathogenic genes as well as a preparation method and application thereof. The invention finds that a biological sample is enriched through broad-spectrum captured protein, the captured protein is labeled with biotin, pathogenic microorganisms are separated from the biological sample through high-density streptavidin coated magnetic beads, the pathogenic microorganisms are split after pure culture, pathogenic genes are detected after nucleic acid is extracted, and the turnover time is shortened to 4 hours. The precise distribution of nucleic acid is realized through an annular array reaction cavity preloaded with 32 freeze-dried LAMP reagents in combination with centrifugal force driving. The single chip synchronously detects more than or equal to 30 major pathogen genes / drug-resistant genes, covers common bloodstream infection pathogens, and breaks through the existing POCT flux bottleneck. According to the present invention, with the kit, the blood matrix inhibition can be eliminated, the pathogen concentration can be rapidly increased (the detection threshold value can be reached after culture), the positive detection rate can be increased to the clinical requirement level (gt, 90%), and the pathogen detection limit in the blood sample can meet the clinical critical infection early diagnosis requirement of less than or equal to 10 CFU / mL;

A kind of oiling mechanism of mortar test mould, including bottom plate, linear module is installed in the middle part of the bottom plate, oil drum mounting plate is fixedly arranged on the sliding table of the linear module, dip oil drum is fixedly arranged on one side of the oil drum mounting plate, mortar test mould is used for being arranged on the other side of the oil drum mounting plate, oil liquid is carried in the opening inside of the middle part of the dip oil drum, the dip oil drum top is also provided with symmetrical clamping mechanism;Including oil immersion mechanism, the oil immersion mechanism includes lifting mechanism and the brush mechanism fixed on lifting mechanism, the bottom of the brush mechanism has sponge block, the utility model makes that the quality of coating oil liquid on mortar test mould is stable, efficiency is high, also will not cause health hazard to operator.

The invention relates to the technical field of cultivated land evaluation, in particular to a cultivated land quality grade evaluation method and system based on remote sensing and ground cooperative monitoring, and the method comprises the steps: synchronously obtaining a multi-source remote sensing image of a target area and ground actual measurement sample data, and carrying out the radiometric calibration of the multi-source remote sensing image, and obtaining a basic remote sensing parameter; carrying out trend surface analysis on the basic remote sensing parameters by taking ground actual measurement sample data as a reference so as to construct a deviation characteristic spectrum; carrying out collaborative data reconstruction on the basic remote sensing parameters to obtain a collaborative monitoring parameter field; carrying out intrinsic mode decomposition on the cooperative monitoring parameter field, and carrying out intrinsic mode mining on decomposed independent variation components to obtain a characteristic parameter combination structure; according to the distinguishability between the characteristic parameter combination structures, constructing a discrimination rule; performing attribution judgment on the parameter combination of the spatial position in the collaborative monitoring parameter field and the characteristic parameter combination structure to obtain a cultivated land quality grade; the method can improve the efficiency of cultivated land quality grade evaluation.

The application provides a global asset dynamic perception and intelligent management method and system based on fog computing, relates to the technical field of asset management, and comprises the following steps: collecting asset states and space parameters through a distributed perception unit, performing feature fusion and space correlation calculation, generating a state atlas, and generating a management instruction according to resource demand ordering, so that cross-regional collaborative management of assets in physically isolated regions can be realized, asset monitoring precision is improved, resource allocation efficiency is optimized, and management cost is reduced.

The application discloses a kind of three-level n-dimensional digital twin systems supporting coupling operation of coal mine robot group, including terminal layer, edge layer and cloud end layer three levels.The robot group in terminal physical layer generates single-machine behavior level twin in terminal virtual layer based on real-time data through terminal AI model, realizes virtual and real two-way control, and field operator obtains augmented information through AR equipment, feeds back decision-making opinion, and multi-modal control node;Edge virtual layer generates collaborative task level twin based on single-machine behavior level twin, and constructs n-dimensional edge twin system through edge AI model.The computer host of cloud end physical layer provides computing power support for n-dimensional cloud end twin system, and centralized control operator accesses cloud end twin system through VR equipment, to realize remote monitoring and control;Cloud end virtual layer generates global planning level twin based on edge side data, and parallel analysis of n-dimensional cloud end twin system is realized through cloud end AI model, and the optimal global planning is comprehensively obtained.

The application discloses a natural resource information system distributed storage virtual node construction method based on a blockchain, relates to the technical field of the blockchain, constructs a virtual resource node to extract a key resource, obtains a node keyword, extracts features of the node keyword, and obtains a key node coefficient; performs symbol conversion and in-segment grouping on the obtained key node coefficient to obtain a key node code group, performs dynamic combination and exchange variation on the key node code group to obtain a front-end node matrix, statistically combines the front-end node matrix to obtain a node matrix set; transforms comprehensive resource data to obtain a resource code group set, matches and extracts the resource code group set according to the node matrix set to obtain an extraction state code, and performs matching storage and multi-edge matching through the extraction state code to obtain matched node resources and multi-state matching node resources; the utilization rate of the natural resources is improved, hardware resources are better managed and distributed, management is simplified, and costs are reduced.

This invention relates to the field of agricultural diseases, specifically providing a leaf disease classification method based on YOLOv8 and a multi-task learning model, comprising the following steps: S0, identifying diseased regions in the original image of diseased leaves based on the YOLOv8 model, and outputting a cropped image of the diseased leaf region; S1, constructing a segmentation-assisted classification multi-task learning model; S2, performing pixel-by-pixel segmentation of the detected leaves using the multi-task learning model, and classifying the segmented regions by disease type; S3, designing a custom total loss function combining segmentation loss, classification loss, and consistency loss, and training the multi-task learning model. This technical solution solves the problem of poor classification performance in agricultural plant disease detection, and constructs a highly efficient and accurate disease classification and lesion segmentation system.