776 results about "Cell Computing" patented technology

The invention discloses a liquid cooling charging module health state prediction system, and relates to the technical field of electrochemical detection, and the system comprises a multi-parameter collection unit which collects the pressure and flow data of a cooling liquid, and is provided with an independent collection node at each branch of a double-gun charging system, and provides basic data for monitoring; the dynamic calibration unit communicates with the acquisition unit, compensates data drift based on a temperature-vibration interference model of machine learning training, executes baseline calibration by using an idle period to update a reference value, and guarantees data accuracy; the leakage detection unit is used for calculating a data change rate after compensation, outputting an early warning according to a preset condition and positioning a leakage branch; and the health state evaluation unit fuses the early warning signal and the historical operation data to generate a prediction result. The problems that tiny leakage detection is difficult and a sensor is prone to interference can be solved, manual inspection is reduced, the maintenance cost is reduced, and the requirement of a high-power charging scene is met.

The invention relates to the field of Czochralski single crystal furnace crystal bar production, in particular to a Czochralski single crystal shouldering control system, which comprises a CCD (Charge Coupled Device) information acquisition unit, a computer information storage processing unit and a PLC (Programmable Logic Controller) growth regulation unit, the computer information storage processing unit receives information acquired by the CCD information acquisition unit, then performs cloud data storage processing and outputs single crystal shoulder information of a corresponding time node to the PLC growth regulation unit, and the PLC growth regulation unit performs shouldering cooling amount control, automatic crucible lifting intervention in the shouldering process, automatic intervention control of equal-diameter liquid opening distance and pulling speed control. According to the method, the problems of shouldering line breakage and equal-diameter head line breakage caused by the fact that automatic regulation of the current shouldering pulling speed does not conform to actual growth of crystals are solved, and the consistency of field process parameter management is improved.

The invention discloses a prestressed beam simulation method, system and device based on a vector type finite element, and relates to the technical field of finite element simulation, and the method comprises the steps: building a prestressed beam numerical model through a vector type finite element method; dispersing the prestressed beam numerical model into a plurality of nodes and a plurality of prestressed beam units; calculating a stiffness matrix of each prestressed beam unit; determining a control equation of each node based on the stiffness matrix; and solving the control equation of each node by adopting a central difference method, and updating the state of each node according to the solving result to finish the simulation of the prestressed beam. The method can achieve the simulation of the complex behaviors of the prestressed beam, and is high in calculation efficiency and good in calculation stability.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle detection tracking device, method and equipment, which comprises a data sensing unit, a calculation unit, a mechanical and power supply unit, a communication and storage unit and a countering execution unit, and is characterized in that the data sensing unit is used for acquiring image data and servo turntable rotation angle data; the calculation unit is used for deploying a lightweight neural network model and a multi-algorithm fusion process, processing sensor data and realizing unmanned aerial vehicle target detection and tracking logic control; the mechanical and power supply unit is used for providing physical support, servo motion capability and energy supply for the device; the communication and storage unit is used for real-time data transmission and storage and encryption archiving of historical data and image videos; and the countering execution unit is used for implementing signal interference or physical interception on the detected and tracked target. Therefore, the problems of easy target loss, low small target identification precision, poor complex environment adaptability, insufficient countering means and the like of a traditional device are solved.

An information processing apparatus, including: a calculating unit configured to calculate, based on the number of second communication terminals having generated a location certificate of a first communication terminal, a reliability of the location certificate; and a determining unit configured to determine, based on the reliability calculated by the calculating unit, a presence or absence of authenticity of the location certificate of the first communication terminal.

The invention relates to the technical field of smart home security and protection, and discloses a smart home security and protection system based on a body, and the method comprises the steps: collecting real-time sensing data through Wi-Fi multipath scattered waves, constructing a body sensing network, recognizing behavior feature information, optimizing a preset security and protection model decision architecture, and obtaining an optimized security and protection process. The method comprises the following steps: firstly, generating a security response path, determining a personnel activity space-time distribution state, calculating a security efficiency value, then determining an optimization direction according to the security efficiency value, generating a dynamic protection organization unit, calculating a misjudgment attenuation rate, and finally determining a security state and analyzing a security dimension according to the misjudgment attenuation rate, thereby constructing a more accurate and intimate intelligent security scheme. According to the invention, the intelligent level of autonomous decision making and active protection of home security can be improved.

The invention relates to the technical field of data processing, and discloses a college budget management system fused with a new quality productivity theory, comprising: a state characterization interface collects process characterization data and maps the process characterization data into a discrete innovation state bit vector; the differential efficiency mapping unit responds to the state bit jump to calculate an efficiency marginal increment and generate an injection instruction; the physical bypass monitoring channel collects physical consumption time sequence data, and the entropy analysis closed-loop unit calculates a metabolic entropy representing the resource consumption order degree; the budget dynamic response control unit generates a state locking instruction when the state bit is constant and the metabolic entropy meets the low-entropy convergence condition, the physical working condition entropy is used for correcting the logic state, and the project resource state is maintained by recognizing the low-entropy resource consumption characteristics when no dominant output exists; the problem that discrete evaluation indexes cannot represent blind areas of continuous scientific research activities is solved.

The invention provides a complex operation lightweight architecture and method based on an FPGA, the architecture comprises a main scheduling module, a calculation module and a floating point operator module, the calculation module comprises a storage unit and a calculation unit, the storage unit obtains and caches input data of a target algorithm, and the main scheduling module carries out the calculation of the target algorithm according to the operation sequence of the target algorithm. The target algorithm is divided into a plurality of calculation steps, and corresponding operation enable signals are generated and transmitted to the calculation unit; the calculation unit obtains target parameters required by calculation steps from the storage unit according to the operation enable signal, obtains floating point operator units required by the calculation steps from the floating point operator module, and executes the calculation steps to determine an operation intermediate result; and storing the operation intermediate result in a storage unit, generating an operation completion signal and transmitting the operation completion signal to a main scheduling module to control the next calculation step until a final operation result is obtained. Therefore, the FPGA architecture with low power consumption and miniaturization is realized.

The invention discloses a regional power distribution method and system for distributed new energy consumption, and relates to the technical field of power systems, and the method comprises the steps: obtaining regional power distribution network data, and constructing a power distribution network analysis model; based on the power distribution network analysis model, dividing the regional power distribution network into a plurality of energy autonomous units by calculating the electrical distance and the power sensitivity; calculating an energy complementation index and a load elastic coefficient of each energy autonomous unit, and constructing a unit feature model; dynamically adjusting the active power and reactive power output of the distributed new energy in each energy autonomous unit according to the unit characteristic model; and monitoring the operation state of the energy autonomous units, implementing a cooperative control strategy, and adjusting power exchange between the energy autonomous units. According to the energy autonomous unit division method provided by the invention, the tightly coupled node group can be accurately identified, the nearby consumption and efficient utilization of new energy are realized, and the power transmission and distribution loss is reduced.

The invention discloses a microcontroller-oriented neural network model compression method and device, and belongs to the technical field of neural networks. The method comprises the steps that image sample data are input into a neural network model, the neural network model is trained, in the training process, the neural network model conducts convolution sampling processing on the input image sample data to obtain a feature matrix X, and global feature information is extracted from the feature matrix X through MaSSA and CGFFN; obtaining the minimum pruning unit of the neural network model, calculating the sparse sensitivity of each minimum pruning unit under different sparseness, and generating a sparse sensitivity matrix; according to the sparse sensitivity matrix, taking a minimum pruning unit as a unit, dividing the whole pruning process into a plurality of stages, and performing adaptive pruning on the neural network model stage by stage; and performing full-integer quantization on the neural network model after adaptive pruning.

The present application relates to the field of equipment maintenance support, and particularly discloses a multi-stage task equipment selective maintenance decision and task allocation joint optimization method. Step S1: statistics of task type, statistics of the number of each unit continuous execution tasks under the task type and the interval period between tasks; Step S2: providing maintenance measures within the interval period, statistics of the maintenance measures and the corresponding maintenance effect, and calculation of the state probability distribution after executing the maintenance measures; Step S3: calculation of the total maintenance cost within the interval period of all tasks; Step S4: since each stage task contains multiple subtasks, the total task demand of each type unit needs to be calculated according to the state and maintenance of each unit before the task starts; Step S5: allocation of tasks and meeting the demand of each stage task; Step S6: calculation of the task completion probability according to the task demand of each stage. The present application aims to solve the problem of independent optimization of equipment selective maintenance decision and task allocation under the previous multi-stage task.

The invention provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

The invention provides a gene module analysis method and device, equipment and a storage medium, and relates to the technical field of space transcriptomics. The method comprises the steps of obtaining space-time group chip expression data, performing linearization processing, and performing sliding window cutting to obtain a plurality of window units arranged according to a space sequence; calculating gene function activeness and constructing a matrix; clustering and grouping are carried out to obtain window groups; performing difference analysis screening on the window groups to obtain a difference expression gene set; and performing gene module analysis to obtain a functional gene module. According to the method, through an integrated processing flow of structure linearization, sliding window cutting, activeness quantification, clustering analysis and module identification, fine extraction and function reconstruction of spatial expression information in the curled tissue are realized under the condition that an additional algorithm or external data is not introduced; and the practicability and research value of the spatial omics data in a complex organization structure are improved.

The invention discloses a cooperative inspection task allocation method and device based on multi-vehicle state perception, and a storage medium. The method comprises the steps that a central cooperation unit calculates risk indexes of all inspection target nodes, and a priority index table is obtained; the central cooperation unit determines a target original parameter; the central cooperation unit constructs a target cost spectrum matrix; applying an operation constraint condition set to the target cost spectrum matrix, and executing constraint solution to obtain an initial scheduling scheme; each autonomous inspection unit constructs a composite return function; each autonomous inspection unit updates a preset strategy value function according to the composite return function to obtain a local strategy parameterization sequence; each autonomous inspection unit sends the local strategy parameterization sequence to a central cooperation unit to obtain a global strategy tuning parameter; and the central cooperation unit distributes the global strategy tuning parameter to each autonomous inspection unit, so that each autonomous inspection unit corrects the local strategy parameterization sequence and the composite return function of the autonomous inspection unit.

The invention provides an industrial multi-protocol heterogeneous real-time video collaborative analysis method. The method comprises the steps that a lightweight compiler is developed, an operator dependency graph analysis module is integrated, instruction-level parallelism of a neural network processing unit is predicted through a graph neural network, and optimization intermediate representation is dynamically generated; constructing a protocol classification graph neural network model, carrying out protocol type self-identification and streaming media metadata automatic extraction, and converting a heterogeneous video stream into a standardized frame sequence; designing a multi-agent reinforcement learning model, and generating an optimal scheduling strategy through offline simulation training by taking a neural network processing unit calculation unit utilization rate, a memory bandwidth occupancy rate and a task queue depth as state spaces; predicting a video key region by adopting a hybrid network, and performing resolution downsampling on a non-key region in combination with motion vector analysis; the hardware-level scheduling adopts time slice rotation preemptive scheduling, and time slices are dynamically distributed according to the priority of an algorithm.

To enable appropriate error correction that suits an analysis task, an information processing apparatus (1) includes: an acquisition unit (11) that acquires target data; a calculation unit (12) that calculates, for respective ones of a plurality of errors included in the target data or for respective ones of attributes of the plurality of errors, corresponding degrees of influence that the respective ones of the plurality of errors exert on an evaluation index of a machine learning model; and a determination unit (13) that determines data to be corrected in the target data on the basis of the degrees of influence calculated by the calculation unit (12).

To provide an information processing apparatus capable of improving the efficiency of operation of a movable apparatus, an information processing apparatus comprises: a passing region calculation unit configured to calculate a passing region through which a movable apparatus passes; an object detection unit configured to detect an object around the movable apparatus by a sensor; and an object detection range setting unit configured to set an object detection range in which the object is detected by the object detection unit based on the passing region calculated by the passing region calculation unit.

The invention relates to the technical field of energy storage systems, and discloses an energy scheduling method, an energy management unit, a computer readable storage medium and an energy storage system. The method comprises the following steps: acquiring target power information; according to the target power information, sending a target power scheduling instruction from the energy storage inversion unit to a first micro-control unit to obtain first scheduling time and second scheduling time; respectively sending a target data request instruction to a battery management unit, a first micro-control unit and a second micro-control unit to obtain target data and third scheduling time; obtaining an energy scheduling period according to the first scheduling time, the second scheduling time and the third scheduling time; and performing energy scheduling according to the energy scheduling period. By quantizing the energy scheduling period to replace experience setting, the defect that the energy scheduling period is too long or too short due to the fact that an experience method cannot cover the delay superposition effect of multiple communication paths is overcome, then the overcharge / discharge risk is avoided, and the safety of the system is improved.

A system and processes detect, identify a Unexploded Ordnances (UXOs) and / or categorize UXOs in near real-time using Unmanned Aerial Vehicles (UAVs). In accordance with various disclosed embodiments, the equipment includes such UAVs (also referred to herein as “drones,”) that include a plurality of sensors for imaging the terrain of a geographic area to analyze the terrain and detect anomalies and / or changes that may be indicative location of UXOs, for example, soil moving activity performed in association with the burying the UXO. Additionally, the UAVs include processing equipment, e.g., one or more small form factor devices, e.g., Next Unit of Computing (NUC) compute elements or the like, that provide processing power to provide EDGE computing on the data gathered at the UAV.

The invention relates to the technical field of energy storage power supplies, in particular to an energy storage power supply electric quantity management method and system based on the BMS technology, and the method comprises the steps: receiving an electric quantity management instruction, determining an electric quantity management environment based on the electric quantity management instruction, obtaining a fault electric quantity group, a fault voltage group, a fault current group and a fault temperature group through a fault data set, the method comprises the following steps: acquiring coordinates of an energy storage power supply by using a positioning unit, calculating a fault early warning index by using a power supply control center and an initial data packet, acquiring the number of started batteries and average historical power by using a storage unit, and performing alternative discharge operation on an energy storage battery set based on # imgabs 0 # acquisition units, an early warning data packet and the number of started batteries to obtain # imgabs 1 # waiting units; and calculating the expected maintenance time, integrating the expected maintenance time into a reminding data packet by using a communication unit, and sending the reminding data packet to a pre-constructed battery client to complete the electric quantity management of the energy storage battery. The power supply stability of the energy storage power supply can be improved, and the failure rate of the energy storage power supply is reduced.

An information query system includes a receiving unit, a computing unit, and an output unit. The receiving unit is used to receive a query request, and the query request has a query value. The computing unit is used to select a plurality of data strings that match the query value from historical data. The plurality of data strings each have a first feature value and a second feature value. The first feature value is related to the query value. The output unit is used to output at least one second feature value and a proportion of the at least one second feature value.

The invention relates to the technical field of overvoltage monitoring, in particular to a wide-frequency-domain overvoltage online monitoring system and method for electric power high-voltage equipment. Comprising an electric field sensor array, an acquisition unit, a calculation unit and an output unit, the electric field sensor array comprises a plurality of sensors which are radially distributed on the same circumferential plane and have different measuring ranges and sensitivities, and sensors which are axially distributed; the electric field sensor comprises a sensing unit and a fiber bragg grating temperature measuring unit; the fiber bragg grating temperature measuring unit is suitable for measuring the temperature of the sensing unit; the acquisition unit is suitable for synchronously acquiring the emergent light intensity of the sensing unit and the temperature data of the fiber grating temperature measurement unit. The multi-range sensors distributed in the radial direction achieve wide-range and high-sensitivity voltage sensing through differential design, the intrusion direction of overvoltage can be determined through cooperation of the axial sensors and the radial sensors, and the problem that the range and sensitivity of a single electric field sensor are mutually restricted is solved.

The invention relates to the technical field of microelectronics, and discloses a three-dimensional stacked near-memory computing architecture, a chip and a data access method. The memory device comprises at least one computing chip layer and at least one memory chip layer which are stacked along a first direction, a plurality of vertical interconnection channels extending along the first direction; the memory chip layer comprises a plurality of memory banks; the computing chip layer comprises a plurality of computing cluster units; the computing cluster unit comprises at least one storage controller; and the storage controller is connected with at least one of the plurality of storage banks through the vertical interconnection channel and is used for managing data in the correspondingly connected storage banks. The problems that in a three-dimensional stacking computing architecture, storage access delay is high, and the bandwidth expansion capacity is limited are solved.

A system and method for executing a work process using a planning system. A planning system comprises a user interface, a communication unit, a computing unit and a memory unit. The planning system is configured to generate a plan for executing an agricultural work process or at least one sub-process included in the work process and transmitting it to an autonomous agricultural work machine configured for the execution for controlling, regulating and / or parameterizing the autonomous work machine and at least one attachment configured to the work machine. The planning system is configured to retrieve and use data saved in at least one database in order to generate the plan for the operation of the autonomous work machine, which data are working-machine-specific, attachment-specific and field-specific parameters, and ambient and environmental parameters available at the time of the generation of the plan, and to output the plan via the user interface.

The invention discloses a parallel scanning method and device, equipment, a storage medium and a computer program, and belongs to the technical field of databases. The method comprises the steps of determining at least one target physical block from a plurality of physical blocks based on a data query condition, and allocating the at least one target physical block to a plurality of processing units based on the total number of the at least one target physical block and the number of parallel processing units, scanning the target physical blocks distributed to the processing units through the processing units, and determining data meeting data query conditions based on scanning results of the processing units. According to the data query method and device, the situation that computing resources of the processing units are wasted can be effectively avoided, the data query efficiency of the database is improved, serial task obtaining is not needed, all the processing units can scan the target physical blocks distributed to the processing units, and therefore the data query efficiency is greatly improved, and the use experience of a user is improved.

The invention relates to the technical field of integrated energy systems, and particularly provides a multi-energy-flow scheduling method and system for a regional integrated energy system, and the method comprises the steps: S1, carrying out the unified modeling of a DC micro-grid, a heat supply network and a natural gas network based on a circuit comparison method, and obtaining a network model of each energy network; s2, constructing a direct-current micro-grid island hierarchical control strategy; and S3, according to the state parameters of the regional integrated energy system, performing dynamic load flow calculation on the direct-current microgrid under the island hierarchical control strategy based on a decomposition load flow method and the network model of each energy network, performing steady-state load flow calculation on the heat supply network and the natural gas network, and generating a scheduling instruction, so that multi-energy-flow coupling response can be accurately captured, and the scheduling efficiency is improved. According to the method, the model inconsistency error is reduced, the unit calculation burden is reduced, the expandability and fault tolerance of the system are improved, and high-precision support is provided for optimal scheduling and long-term planning.

The invention relates to the technical field of water conservancy project automation and industrial control, in particular to a water conservancy equipment collaborative operation system based on an industrial control system, which comprises a programmable input mapping and logic matching unit, a data processing unit and a data processing unit, the system carries out binary bit mode matching on the operation result and the feature data block in the memory; the logical operation and addressing unit is used for calculating control lag time and generating a structured digital control sequence data stack; the sequential control and instruction addressing unit is used for generating a cooperative control instruction set containing sequential logic; the output mapping and checking unit is used for reading real-time feedback, and if deviation exists, an interruption compensation program is triggered to correct an action curve of an executing mechanism; the storage rewriting and loop optimization unit is used for correcting transmission delay parameters of the model and realizing closed-loop optimization; according to the method, the problem of model distortion caused by physical property drift is solved, and stable full-life-cycle operation is ensured.

The invention relates to the technical field of building mechanical and electrical installation, and discloses an intelligent measuring tool for building mechanical and electrical installation engineering and a measuring method thereof. The system comprises a measurement environment preparation unit, a multi-parameter acquisition unit, a spatial topology analysis unit, an error optimization unit and a measurement verification unit. The measurement environment preparation unit obtains initial environment parameters and generates an environment parameter sequence; the multi-parameter acquisition unit synchronously captures multiple types of data, calculates a spatial adaptation value and establishes a measurement feature initial set; the spatial topology analysis unit identifies the topological connection direction and conflict area of the equipment group, and generates a spatial topology deviation data set; an error optimization unit calculates a spatial positioning compensation value and adjusts a coordinate mapping relation of the equipment; and the measurement verification unit compares the deviation values, recollects the deviation values when necessary, and finally generates a measurement topological graph. The tool can realize cooperative processing and accurate measurement of multiple parameters in the building mechanical and electrical installation process, and is suitable for the field of building mechanical and electrical installation.

The invention provides a forestry pest and disease damage real-time monitoring method and system, and relates to the technical field of data processing, and the method comprises the steps: selecting a position A of an early warning node, a node position B with the maximum yield per unit time in a past one hour, and a node position C with the maximum spatial distribution dispersion; forming a monitoring unit according to the position A, the node position B and the node position C of the early warning node; calculating the radius of a circumcircle of the measurement unit, and determining the grid division density based on the radius of the circumcircle; according to the grid division density, performing adaptive grid division on the monitoring unit to obtain a plurality of grid units; generating a space risk adjustment value according to the space distribution characteristics of the grid units; constructing a spatial diffusion model according to the regional and spatial risk adjustment values of the collaborative outbreak phenomenon; obtaining an insect condition risk level according to the spatial diffusion model; and generating a comprehensive insect condition early warning according to the insect condition risk level. According to the method, the time sequence mutation can be dynamically sensed, and the spatial diffusion risk can be accurately evaluated.