2111 results about "Control data" patented technology

The invention provides a feed mixing process uniformity dynamic evaluation and parameter adjustment method, and relates to the technical field of data processing, and the method comprises the steps: building a material characteristic matrix according to raw material characteristic data; correspondingly storing the material characteristic matrix and initial operation parameters of the mixing equipment to generate first mixing control data; in the mixing process, collecting local vibration amplitudes and temperature rise rates at different spatial positions, and combining the local vibration amplitudes and the temperature rise rates with the first mixing control data; calculating the vibration amplitude distribution difference in adjacent sampling periods in the feed mixing treatment process to obtain a spatial fluctuation index; when the spatial fluctuation index is continuously reduced and the temperature rise rate is periodically and suddenly increased, generating local accumulation indication data, and triggering short-time acceleration and inversion operation; executing feed mixing treatment, and generating a mixing termination signal when the spatial fluctuation index change rate of three continuous sampling periods is lower than a preset fluctuation threshold value; according to the invention, autonomy and accuracy of feed mixing uniformity adjustment are improved.

The invention provides a data synchronization method and device based on Spring Batch and a large model. Synchronously initializing a large model micro service and a Spring Batch framework, and establishing a model service hot standby mechanism; obtaining data source features through a metadata scanning engine driven by a large model, and generating an adaptive synchronization strategy; optimizing a query plan based on the synchronization strategy, dynamically controlling data fragmentation and executing streaming preprocessing and semantic mapping conversion; a target table structure is adapted, a three-level conflict detection mechanism is adopted to eliminate data conflicts, and meanwhile transaction processing and batch writing logic are optimized; the data quality is verified through three-level verification, performance parameters are dynamically adjusted and optimized, and fault-tolerant recovery and resource elastic expansion and contraction are achieved; metadata are synchronized, an execution report is generated, knowledge base self-learning is completed based on task full-link indexes, and a data consanguinity map and a reusable processing case library are constructed. According to the scheme, diversified and dynamic enterprise data synchronization requirements can be met.

The invention discloses a phase change latent heat slow-release single-phase immersion liquid cooling intelligent temperature control adjusting method and system, and relates to the technical field of electronic equipment heat management. The phase change latent heat slow-release single-phase immersion liquid cooling intelligent temperature control adjusting method comprises the following steps: S1, collecting phase change liquid cooling temperature control data, and preprocessing the phase change liquid cooling temperature control data; s2, evaluating the running state of the server, assigning a thermal response level identifier based on an evaluation result, and constructing a thermal response state data set; s3, evaluating the cooling slow release capability in a temperature control early warning state and a thermal shock state, and generating and executing a self-adaptive cooling adjustment strategy in a grading manner; and S4, after the cooling regulation strategy is executed, the response efficiency of the cooling strategy is evaluated, a cooling strategy optimization instruction is generated, and strategy closed-loop regulation is realized on the basis of monitoring the change trend of an evaluation result in a continuous regulation period. The problem that the chip temperature of an existing liquid cooling system fluctuates abnormally due to cooling capacity response lag in an instantaneous high-load scene is solved.

The invention discloses a distributed centralized control data synchronization method and system, and relates to the technical field of distributed system data processing, and the method comprises the steps: detecting an abnormal event in real time in a data synchronization process, and forming a pollution domain through the expansion of an event causal graph along a dependency relationship, and an abnormal range is accurately defined by combining forward and backward traversal with a boundary truncation condition. A recovery perception graph is constructed in a pollution domain, event node recovery sensitivity and edge cutting cost are quantified, a dynamic minimum cut optimization model is established, and a minimum rollback set and a recovery range covered by the minimum rollback set are obtained. And generating a verifiable recovery proof at the boundary of the minimum fallback set, realizing independent verification of the event state, and executing fallback and replay operations after the verification is passed. And consistency synchronization of the whole system is realized. And a unified closed loop of high-precision abnormal positioning, verifiable state recovery and efficient synchronous expansion is realized.

The invention provides an efficient transmission algorithm for HPLC carrier communication data, which belongs to the technical field of carrier communication, and comprises the following steps of: step 1, double-link separation processing: respectively processing frame control data and load data by adopting two separated links; 2, a frame control data processing flow: carrying out improved Turbo coding on the frame control data; step 3, a load data processing flow: firstly, carrying out adaptive scrambling on load data, and adopting Turbo coding with different parameter configuration from frame control data; step 4, OFDM symbol generation and transmission: adopting an optimized fast algorithm to reduce the operand and the processing time; and step 5, receiving end processing flow: respectively adjusting frame control and load data by adopting AGC (Automatic Gain Control) and time synchronization. The algorithm is high in anti-interference capability, remarkably reduces the bit error rate, is high in transmission efficiency, can adapt to different power line channel environments and data transmission requirements, and has good universality and stability.

The invention discloses a purchase demand prediction method combined with PMC material management and control, and belongs to the technical field of material management and control data processing, and the method comprises the steps: obtaining a material consumption sequence and corresponding timestamp data, and employing a time sequence decomposition method to separate trend components and seasonal components, and obtaining a consumption rule feature sequence; if the fluctuation amplitude of the consumption rule feature sequence exceeds a preset threshold value, determining the consumption rule feature sequence as a basic demand predicted value sequence; obtaining a market price index sequence, and calculating a correlation coefficient between the basic demand predicted value sequence and the market price index sequence; if the absolute value exceeds a set threshold value, updating a basic demand predicted value sequence through a time sequence model; generating a purchase plan sequence according to the basic demand predicted value sequence and the inventory average value; and generating a final output report. The invention discloses a problem that a current material management and control mode cannot capture key changes in time and is difficult to balance contradictions between inventory and production.

A system comprises a memory communicatively coupled to at least one processor. The at least one processor is configured to receive a request for data sharding operations from a user device, determine a node comprising multiple network resources configured to create a response to the request, receive sharding feedback from the node, execute the machine learning algorithm to determine whether the performance of the network resources match a predefined performance threshold, generate a proposed sharding strategy to increase the network resources at the node in response to determining that the performance of the network resources does not match the predefined performance threshold, provide the proposed sharding strategy to the node for implementation, and generate multiple sharding commands configured to control routing of data between the first node and the user device in response to receiving the access command; and route the request to the node using the sharding commands.

The invention discloses a distributed optical fiber temperature measurement verification device and method.The device comprises a constant temperature device, a lifting device, a measurement and control host and automatic verification software, the constant temperature device comprises a constant temperature bath and a constant temperature control device, the constant temperature bath comprises a mixing area and a working area, the lifting device drives a test tool to ascend and descend, and the test tool fixes a temperature measurement optical cable; the temperature measurement optical cable is connected with the temperature measurement host, the temperature measurement host feeds back a temperature measurement value to the measurement and control host, the measurement and control host compares the measurement value with a temperature value of a medium in the constant temperature device, and distributed optical fiber temperature measurement verification is achieved. The method passes a temperature measurement range and accuracy test; performing a temperature resolution test; performing a spatial resolution test; testing positioning accuracy; a single-channel test time test comprises six tests, data are automatically collected and analyzed, and a verification report is generated. The device is reasonable in structural design and high in universality, automatic control over the verification process is achieved, data collection, analysis, calculation and report generation are all automatically completed, and verification efficiency is improved.

A wireless device (10) receives control data provided by a node (100) of the wireless communication network. The control data indicates a set of one or more supported machine-learning models for encoding and decoding of uplink control signaling from the wireless device (10) to the node (100). The wireless device (10) selects one or more of the machine-learning models from the set. Based on at least one of the one or more selected machine-learning models, the wireless device (10) encodes uplink control signaling from the wireless device (10) to the node (100).

The invention relates to a household energy storage anti-reflux control system and method. The system comprises a grid-connected point electric energy acquisition module, an acquisition coordination unit and a plurality of energy storage devices. The acquisition coordination unit receives a grid-connected point electric energy acquisition signal and an equipment operation state signal, generates and issues a coordination control data set signal, receives a power adjustment feedback signal and updates a data set. The method sequentially coordinates energy storage equipment according to a control cycle, judges countercurrent or a gap based on a threshold value, generates a discharge power adjusting quantity and / or a charge and discharge mode switching instruction, and writes back a data set to realize countercurrent suppression and power balance.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling data access. One of the methods includes receiving, from a user device associated with an account, a request for data; accessing data from one or more data sources that includes, for each of a plurality of data types, corresponding data values; selecting, from the plurality of data types and using permissions data for the account, one or more data types that the account has permission to access; and providing, to the user device and for each of the one or more data types that the account has permission to access, the corresponding data values.

The present disclosure provides a fire response control method and system for a lithium battery energy storage box, relating to the technical field of lithium batteries, which comprises: collecting battery compartment layout information of the lithium battery energy storage box; reading data of the lithium battery energy storage box to obtain real-time control data; laying out temperature collection devices through the battery compartment layout information; obtaining temperature data collection results; collecting historical detection data with time sequence identifiers; constructing a lithium battery feature data set of the lithium battery energy storage box; constructing an abnormality monitoring model; outputting abnormality warning level information; generating multi-level fire response control data; and managing the lithium battery energy storage box. The technical problem of inaccurate and timely fire warning of the lithium battery energy storage box and inability to avoid fire accidents in time due to the single and inaccurate setting of the warning threshold in the prior art is solved.

The invention relates to the technical field of industrial automation, in particular to a multi-robot control method and system based on the industrial Internet of Things and a medium. The method comprises the following steps: acquiring industrial warehouse channel data; generating a warehouse digital twin model based on the industrial warehouse channel data; performing multi-robot path conflict detection according to the warehouse digital twin model to obtain path conflict data; determining a robot number according to the path conflict data; performing motor winding damage detection based on the robot number to obtain motor winding damage data; performing iron core loosening analysis based on the motor winding damage data to obtain iron core loosening data; performing vibration suppression control optimization according to the iron core loosening data to obtain vibration suppression control data; and robot scheduling is carried out according to the path conflict data to obtain robot scheduling data. According to the invention, the path planning precision and fault response efficiency of the multi-robot system are improved based on the industrial automation technology, and the operation efficiency of industrial warehouse operation is improved.

The embodiment of the invention provides a robot control method and system based on virtual reality and hand motion capture, and the method comprises the steps: collecting the hand posture data of a user, obtaining the first hand posture data of the user through a virtual reality device, the first hand posture data comprises the hand end posture information, and obtaining the first hand posture data of the user through a virtual reality device; obtaining second hand posture data of the user through wearable hand motion capture equipment, wherein the second hand posture data comprises hand joint fine motion information; standardizing the hand position and posture data, and mapping the hand position and posture data into robot target motion data based on a preset calibration matrix, the robot target motion data including first robot target motion data mapped based on the first hand position and posture data and second robot target motion data mapped based on the second hand position and posture data; robot motion control data is generated based on the robot target motion data, and robot parts are controlled to move. According to the robot control method and system based on virtual reality and hand motion capture, the operation precision of the robot can be greatly improved, the operation real-time performance and smoothness are enhanced, and the motion state of the robot can be monitored in real time.

The invention discloses a low-delay and high-reliability wireless communication method and system, a medium and a product, and relates to the field of industrial information and data processing.The method comprises the steps that when an industrial control data packet with a priority processing identifier is received, MAC address table look-up operation is executed on the industrial control data packet, and a priority data packet containing a target address identifier is generated; constructing a data transmission path forwarding by bypassing the network bridge according to the target address identifier of the priority data packet; transmitting the priority data packet to a Wi-Fi driving layer through the data transmission path, so as to write the priority data packet to a hardware sending queue, and generating a sending data packet containing a time sequence identifier; determining a periodic transmission time window synchronized with the industrial control period according to the time sequence identifier of the sent data packet; and detecting a channel state index in the transmission time window, generating a retransmission control parameter according to the channel state index, and executing a data packet transmission operation according to the retransmission control parameter. According to the invention, the processing time delay of wireless communication can be reduced.

The invention provides a robot dog intelligent inspection control method and system for an open environment, and relates to the technical field of data processing.The method comprises the steps that the space range of inspection environment data is divided into a plurality of space units, each space unit is marked as a region paragraph, and each region paragraph is marked as an area paragraph; the method comprises the following steps of: obtaining a plurality of regional paragraphs, establishing cross-segment marks among the regional paragraphs to form a recursive chain, calculating the route change transmission degree of each regional paragraph in the recursive chain to obtain recursive feature intensity, layering each regional paragraph in recursive chain data, generating regional paragraph sets with different intensity levels, and obtaining a recursive feature set; and calculating the periodic aggregation degree of each area paragraph in each inspection period to obtain periodic paragraph intensity, correspondingly binding each area paragraph in the rearrangement sequence data with a preset action set to obtain action control data, and generating a control instruction according to the action control data. According to the method, superposition and amplification of tiny offset in control circulation can be avoided, and the problem of interruption of the inspection process caused by frequent correction is solved.

The invention relates to the technical field of digital asset management analysis, in particular to a digital asset intelligent analysis platform based on a block chain intelligent contract technology. The computing power resource state coupling module is used for obtaining the saturation degree of computing resources by capturing information of a task control block and combining the load rate of a processor, and embedding and collecting mapping data streams to generate a management and control data packet; the abnormal data screening module is used for executing local serial processing when the saturation degree of the computing resources is lower than an I / O throughput threshold value, and otherwise, hardware acceleration is carried out, and a to-be-verified digital sequence is constructed; generating an abrupt change collection feature vector based on the to-be-verified digital sequence; and the component resume anchoring module is used for carrying out data binding operation on the abrupt change collection feature vector, generating a single-piece digital traceability certificate, carrying out aggregation compression, obtaining a batch verification root value and outputting a quality signal digital right. According to the method, a load awareness and distributed storage partitioning strategy is constructed through indexes, and the I / O frequency and transmission bandwidth occupation of whole library retrieval are reduced.

This application relates to a human-computer voice interaction control method and system based on a smart TV. The method includes acquiring voice data within a preset range, processing the voice data to obtain voice feature data carrying control commands; performing feature analysis on the voice feature data using a preset voice analysis model to extract wake-up keywords and compare them with a preset command library to obtain control command comparison results; sending a secondary confirmation request to the user based on the control command comparison results, and combining the confirmation voice information from the user feedback to perform command recognition evaluation and correct command deviation processing to obtain the corrected control command; performing function switching processing on the TV according to the correct control command, and optimizing the display effect by linking and adjusting related devices based on the program display requirements after the switch to obtain human-computer voice interaction control data. This application has the effect of improving the intelligence of voice interaction control of smart TVs.

A measurement and control simulation device based on a measurement and control data transmission integrated system comprises an upper computer display control test module, a PC host module, a signal processing master controller module, an isolation DC / DC module, a down-conversion module, a filtering module, an isolator module and an outer end face interface module. The system has the characteristics of multiple modulation systems, a spread spectrum function, controllable output power, Doppler frequency change and the like, can be used for simulating a star chain control system link test in a ground test system, and fully improves the index assessment performance during system docking; meanwhile, the design of a down-conversion link meets the requirements for the strength and sensitivity of the received signal, the stability and accuracy of the radio-frequency signal after frequency conversion in a low-power injection state are remarkably improved, and a new scheme is provided for a high-frequency conversion mode. Besides, the display control module of the equipment has the functions of multiplexing, reconstruction, multi-data interaction and the like, so that multifunctional and multi-task full-system test coverage can be realized, the cost investment of test systems such as spacecrafts and the like is greatly reduced, and the multifunctional index test coverage efficiency is improved.

An on-line program control excitation power supply with quench protection for a high-temperature superconducting magnet comprises a single-chip microcomputer for receiving control data, outputting control voltage through digital-to-analog conversion (DAC) of the single-chip microcomputer, and magnetizing a magnet coil through current stepping; a sampling signal is output to the liquid crystal screen to display corresponding voltage and current values in real time after being processed by the single-chip microcomputer analog-to-digital conversion ADC; voltage signals at the two ends of the magnet coil are sampled and returned to the single-chip microcomputer to be processed, when high voltage occurs, it is judged that the voltage signals are abnormal voltage signals, quench protection is carried out, the single-chip microcomputer outputs control signals to cut off connection between the magnet coil and the excitation power source, and residual energy of the magnet coil is released through the high-power thyristor. The provided excitation power supply has the characteristics of high power, high stability, good repeatability and good linearity; performing numerical control stepping output, gradually applying current to the superconducting coil, and slowly establishing a magnetic field; effective quench protection is achieved, and it is guaranteed that a magnet coil is not damaged by quench.

The invention relates to the technical field of intelligent heat supply management, in particular to an intelligent heat supply integrated management system based on multi-source data driving, which comprises a multi-source data acquisition module for acquiring multi-source data of each target heat supply area of a heat supply network; the key delay time extraction module is used for acquiring the adjustment condition of the heat supply control data to generate key delay time; the sensitive parameter identification module is used for determining a heat supply adjustment sensitive parameter and a heat supply response sensitive parameter based on the key delay time; the characteristic interval analysis module is used for determining a change trend characteristic interval based on a pre-change trend corresponding to the change characteristic interval; the pre-adjustment time determining module is used for determining a plurality of pre-adjustment times based on the change trend characteristic interval; and the pre-adjustment time calling module is used for acquiring the real-time multi-source data of the heat supply network to determine whether pre-adjustment is started or not, and determining the pre-adjustment time. The response speed and the adjusting precision of the heat supply system are improved.

The invention discloses a unified data access method and system for multi-protocol industrial equipment, and the method comprises the steps: constructing a unified equipment information model, and respectively establishing communication connection with at least two different types of industrial control protocol equipment through at least two different protocol adapters, receiving an original data message from the industrial equipment; starting a protocol adapter to parse the original data message so as to extract protocol specific data containing a device logic address, a data value and state information; mapping the protocol specific data to the unified equipment information model to generate a standard chemical control data object conforming to the specification of the unified equipment information model; and issuing the standard chemical control data object to an internal data communication bus so as to realize unified data supply for upper-layer application services. Therefore, an application developer can access and process all equipment data in a consistent and standard manner, the system integration complexity is greatly reduced, and the data fusion efficiency and stability are improved.

The present disclosure provides a method for controlling a humanoid robot using a hierarchical bipedal action model (BAM), the method comprising obtaining a base controller by training in simulation with reinforcement learning, instantiating an initial BAM including a Gamma model configured to generate intermediate goals, a Beta model configured to translate the intermediate goals into task-space actions, and an Alpha model configured to translate the task-space actions and robot state into motor commands, deploying the initial BAM such that at least the Alpha model executes on-board the humanoid robot, causing the humanoid robot to perform an initial task and logging sensor and control data to form a first dataset, based on the first dataset, training at least one policy of the BAM to generate a refined BAM, and deploying the refined BAM to control the humanoid robot autonomously.

The invention discloses a multi-axis synchronous control system based on a VPX bus, and the system comprises a control platform initialization module which is used for generating a system initialization parameter set; the timing pulse synchronization module is used for forming a timing interrupt signal set; the state acquisition and error write-in module is used for acquiring an axial state, calculating an error signal and writing the error signal into the private area and the broadcast area; the distributed deviation coupling module is used for constructing a state synchronization data set; the sliding mode surface construction and state judgment module is used for constructing a non-singular fast terminal sliding mode surface; the sliding mode control output generation module is used for executing a distributed sliding mode control strategy; the optical signal conversion and data stream generation module is used for generating an optical signal control data stream; and the actuating mechanism driving module is used for converting the optical signal control data stream into an analog driving signal. According to the invention, a distributed sliding mode control and VPX high-speed synchronization mechanism is adopted, and multi-axis high-precision cooperative servo control is realized.

The invention belongs to the technical field of biological detection, and discloses a transgenic crop intelligent identification method based on high-throughput sequencing, which comprises the following steps: acquiring multi-platform high-throughput sequencing original data and sample metadata, evaluating quality by platforms, dividing according to a sample partitioning rule, and generating a quality-controlled data block set; distributing data blocks to a plurality of parallel computing nodes, synchronously executing technical detection to obtain technical fact fragments, aggregating and supplementing batch statistical information, and generating a technical fact report; matching the judgment rule set, carrying out parallel judgment, triggering expert rechecking on boundary cases, and integrating to generate a supervision judgment conclusion set; the method comprises the following steps: extracting original sequencing reads of all samples, generating a unique hash for each read, constructing a processing track chain, integrating metadata and visual evidence, generating a credible authentication report, dividing different scene versions, and performing targeted distribution; and extracting identification cases for mining and clustering, generating optimization suggestions, and feeding back the optimization suggestions to the quality control rule base and the judgment rule base.

The invention belongs to the technical field of radar test and simulation, and particularly discloses a multimode mixed injection type semi-physical radar target simulation evaluation system and method, which comprises a radar / electronic warfare beam synchronization unit, an injection type radar target simulation evaluation system and a simulation control unit. The system obtains radar real-time beam scanning information through a beam synchronization unit, carries out real-time fusion on the radar real-time beam scanning information and avionics control data from an avionics system test bench, drives an injection type system to generate a simulation radio frequency target containing a sum signal, an azimuth difference signal and a pitch difference signal, and provides the simulation radio frequency target to a radar to be tested in an injection mode. And the simulation control unit is responsible for man-machine interaction, controlling a test process and performing automatic comprehensive evaluation on a simulation result. According to the method, automatic evaluation of dynamic closed-loop simulation, multi-mode seamless switching and high-order tactical indexes can be realized, and the method is suitable for high-fidelity performance verification of a modern radar system.

The invention discloses a WAL log playback method based on a PostgreSQL database, and relates to the technical field of electric digital data processing. The method comprises the following steps: analyzing a read WAL log to obtain basic meta-information corresponding to the WAL log; according to the basic meta-information, identifying a playback dependency relationship between the WAL logs from a plurality of preset dependency dimensions so as to construct a playback dependency graph corresponding to the WAL logs; dividing the WAL log into corresponding playback execution units and issuing the playback execution units to a playback execution thread so as to execute a WAL log playback operation; predicting a playback pressure level corresponding to the main control process, and adjusting a parallel scheduling strategy of a parallel playback unit according to the playback pressure level; and when the playback of all the WAL logs is completed, controlling the PostgreSQL database instance to exit from the recovery state.

The invention relates to the technical field of rock fracture mechanics and rock digital image processing, in particular to a super-high-temperature reservoir supercritical carbon dioxide fracturing visual testing technology and device which comprises an instrument fixing base, and an instrument fixing bearing table is fixedly connected to the top of the instrument fixing base. The top of the instrument fixing bearing table is fixedly connected with a hydraulic servo loading machine fixing plate, the top of the hydraulic servo loading machine fixing plate is fixedly connected with a hydraulic servo loading machine, the bottom of the hydraulic servo loading machine is slidably connected with a loading platform through a loading sliding rod, and the top of the loading platform is fixedly connected with a loading bin. According to the invention, through a loading structure formed by the hydraulic servo loading machine, the telescopic loading sleeve rod and the telescopic loading pressure head, and in combination with control of the loading control-data processing system on a loading path and a loading process, a rock test piece can undergo continuous and controllable damage and fracture evolution processes under different loading modes and different working conditions.

The invention discloses a remote communication method for a surgical robot, a storage medium and a program product, and the method comprises the steps: receiving first control data sent by a remote control end which carries out the remote control of the surgical robot in response to the starting of a remote mode; wherein the first control data is obtained by encrypting original control data by the remote control end by adopting a preset encryption algorithm; the preset encryption algorithm comprises a symmetric encryption algorithm and / or an asymmetric encryption algorithm; decrypting the first control data by adopting a target decryption algorithm corresponding to the preset encryption algorithm to obtain second control data, and determining a target response mode of the surgical robot for the second control data according to the second control data and preset control logic; wherein the preset control logic at least comprises the adjustment logic of the working state of the surgical robot, so that the transmission safety of the remote surgical data and the operation safety of the surgical robot are improved.

The invention relates to the technical field of data acquisition and storage of underwater detection equipment, and discloses a dual-channel data storage and export method, device, equipment and medium, comprising: controlling a data acquisition unit to acquire an environmental analog signal and convert the environmental analog signal into a digital signal, and caching the digital signal to a volatile memory of a main control unit in real time; when it is monitored that the cache data size reaches a preset threshold value, the switching unit establishes a first communication path with the mass memory, writes the cache data in batches and enables the mass memory to enter a dormancy state; when an external reading instruction is received, the switching unit disconnects the first communication path and establishes a second communication path between the mass memory and the data reading unit to export the stored data. According to the method, the access times of the large-capacity memory are reduced and the working period is shortened by combining an independent data reading path through a batch writing mechanism triggered by a threshold value and dormancy control, so that the power consumption is remarkably reduced and the cruising ability of underwater equipment is improved.