164 results about "Instruction distribution" patented technology

The invention relates to the technical field of hydraulic engineering monitoring, and discloses a hydraulic engineering operation risk monitoring management system based on multi-sensor fusion. The system comprises a data acquisition module, a data fusion module, an early warning and instruction generation module, and an instruction distribution and verification and correction module. The data acquisition module acquires structural deformation, water flow pressure and environment temperature and humidity data in real time through multiple types of intelligent sensors; the data fusion module inputs the collected data into a dynamic weighted fusion model, and generates a comprehensive monitoring index in combination with a sensor confidence coefficient weight and a historical data deviation rate; the early warning and instruction generation module triggers multi-stage early warning and generates an equipment regulation and control instruction set according to the comprehensive monitoring index and a preset safety threshold value; the instruction distribution module distributes the instruction to an execution terminal through a distributed message queue; and the verification and correction module checks terminal feedback signals by using a back propagation verification mechanism, and corrects the confidence coefficient weight of the model.

The invention discloses an adjustable resource unified data external characteristic modeling, regulation and control method and system oriented to various transaction scenes. The method comprises the following steps: collecting real-time data of an internal adjustable resource of a virtual power plant; the climbing time, the duration, the response capacity and the responsible frequency are quantized and defined as a group of external characteristic parameters, an adjustable resource data external characteristic model is constructed, adjustable resources are classified according to the external characteristic parameters of the model, and an adjustable resource characteristic library is established; in combination with the response characteristic and the load state of each adjustable resource, generating an optimal regulation and control strategy meeting the regulation and control requirements, and allocating a corresponding regulation and control instruction to each adjustable resource; each adjustable resource adjusts power output according to the regulation and control instruction, and meanwhile, the calling cost of each adjustable resource is calculated; in combination with the real-time state and the adjustment cost minimization target, the regulation sequence and proportion are optimized; according to the method, the economy and flexibility of the virtual power plant in multi-scene regulation can be effectively improved, and meanwhile, the accuracy of power grid frequency modulation response and the system stability are enhanced.

The invention relates to the technical field of power system dispatching, in particular to a distributed storage system for source-network-load-storage collaborative dispatching, which comprises a distributed data acquisition module, a regional collaborative sensing module, a distributed energy storage evaluation module, a dispatching instruction generation module and a dispatching instruction distribution module, wherein the distributed data acquisition module is used for acquiring real-time operation data of source, network, load and storage nodes in parallel; the regional collaborative sensing module is used for calculating a real-time power deviation value; the distributed energy storage evaluation module is used for generating an energy storage adjustment instruction set; and the scheduling instruction generation module is used for generating a final refined scheduling instruction. According to the invention, through constructing a cooperative scheduling mechanism of the source network load storage full chain, accurate identification of power deviation and optimal distribution of energy storage resources are realized, and scheduling response efficiency and operation stability of the system are significantly improved.

The invention relates to the technical field of industrial control, and discloses an industrial communication protocol adaptation method and system based on OpenHarmony. The method comprises the following steps: performing distributed soft bus deployment on a plurality of industrial devices in an industrial control network to obtain a distributed device connection architecture; carrying out multi-protocol adapter loading on the industrial automation runtime service of the distributed equipment connection architecture to obtain a multi-protocol runtime service instance; performing communication protocol identification and configuration on the plurality of industrial devices according to the multi-protocol runtime service instance to obtain standardized device data; and establishing a data transmission channel according to the standardized device data, and performing global state synchronization and cooperative control instruction distribution on the plurality of industrial devices to generate a distributed cooperative control network. The deployment and maintenance work of the industrial control system is simplified, the accuracy and consistency of system configuration are improved, the risk of manual configuration errors is reduced, and the development cost and maintenance complexity of industrial application are reduced.

The invention relates to the technical field of call center control, and discloses an unmanned vehicle formation control and obstacle avoidance reconstruction system based on complex road conditions. The system call data acquisition module is used for acquiring multi-source interaction data in real time; the dynamic feature extraction module is used for performing semantic intention hierarchical analysis on the voice stream text conversion data, performing event fragment segmentation on the user behavior time sequence data, and generating an operation track feature vector; the scene clustering engine module is used for performing space-time alignment on the semantic intention hierarchical analysis result and the event fragment segmentation result to generate a multi-dimensional scene clustering tag; the strategy matching core module is used for retrieving an interaction strategy set matched with the current scene from a distributed strategy library according to the multi-dimensional scene clustering label and generating a dynamic control instruction sequence; and the instruction distribution execution module is used for distributing the dynamic control instruction sequences to corresponding seat terminals and voice routing equipment after sorting the dynamic control instruction sequences according to priorities.

The invention relates to a neural network accelerator, in particular to an instruction flow control system applied to the neural network accelerator, which comprises a first-stage instruction flow control unit, a second-stage instruction flow control unit, a third-stage instruction flow control unit, a fourth-stage instruction flow control unit and a fourth-stage instruction flow control unit, and is characterized in that the first-stage instruction flow control unit is responsible for prefetching, decoding, executing and distributing instructions of the neural network accelerator and responding to pause influence of debugging events and synchronization events on instruction distribution; the second-level instruction flow control unit is located in each execution unit, extracts execution parameters from the second-level execution instructions distributed by the first-level instruction flow control unit, is responsible for translating and maintaining the instruction execution dependency relationship among the execution units, and ensures that the execution units execute the instructions in sequence according to the instruction execution dependency relationship among the execution units; according to the technical scheme, the defect that in the prior art, it is difficult to efficiently execute instructions with the execution dependency relationship between the execution units can be effectively overcome.

The invention relates to the technical field of industrial internet, in particular to a control system and method for stirrer production. Comprising an edge data preprocessing unit, a flexible production instruction distribution unit and a working condition diagnosis and protection control unit. By constructing an integrated control parameter mapping model, an industrial operation signal is converted into a collaborative sensing digital primitive; the production task is compiled into an intelligent production execution process cluster based on a resource scheduling algorithm, and equipment is driven to execute differentiated production; and performing situation assessment on the digital primitives by using the anomaly detection model, and generating a regulation and control instruction to execute process logic recombination and safety protection. According to the invention, the problems of low production information integration level and tight data in each link of a production control system are solved, and flexible scheduling and active security defense in the production process are realized.

The invention relates to the technical field of quantum computer control, and belongs to a quantum equipment instruction distribution system and method based on multi-thread parallel routing, the system comprises an upper computer, an instruction board, an instruction routing board and an equipment end, and the instruction distribution method comprises the following steps: S1, inputting a program instruction and a control instruction through the upper computer, the data is issued to the instruction board through the local bus interface; s2, multi-thread parallel execution of the program instruction is achieved in an instruction board FPGA chip, a control instruction is generated and output to a routing board through a high-speed radio frequency interface, and the control instruction comprises a target address code; s3, dynamically selecting an output port by the instruction routing board according to the target address code generated in S2, and distributing the instruction to specified equipment; and S4, each device in the device end receives the instruction through the SSMA sequence interface and executes the instruction. According to the invention, efficient synchronous control of quantum equipment is realized through multi-thread parallel execution and a dynamic routing mechanism.

The invention relates to the technical field of data monitoring, in particular to a workshop operation state real-time monitoring, management and control method and system, and the method comprises the steps: carrying out the real-time collection of multi-source heterogeneous data of each process execution unit through a plurality of data collection terminals, and carrying out the standardization processing of the collected multi-source heterogeneous data; based on the standardized multi-source heterogeneous data, extracting multi-dimensional features corresponding to each process execution unit, associating the multi-dimensional features with plan standard features, inputting the associated features into a state judgment model, and outputting a comprehensive state identifier; if it is judged that the comprehensive state identifier triggers a state abnormal event, comparing the state abnormal event with a preset decision rule base, and outputting corresponding decision action information; and packaging the decision action information into a corresponding management and control instruction, and transmitting the management and control instruction to the corresponding process execution unit for execution through an instruction distribution interface, thereby realizing comprehensive, accurate, real-time and intelligent management and control of the workshop operation state.

The embodiment of the invention provides a data processing device, a processor and a data processing method. The data processing apparatus includes an instruction distribution unit, an instruction information recording unit, an instruction processing unit, and a write-back control unit, the instruction distribution unit being configured to split a vector instruction into a plurality of microinstructions, and to distribute the plurality of microinstructions to the instruction processing unit; the instruction information recording unit is configured to record instruction state information corresponding to a plurality of microinstructions respectively; the instruction processing unit is configured to receive a plurality of micro-instructions, process each of the plurality of micro-instructions to obtain a corresponding execution result, and feed back a processing progress to the instruction information recording unit; and the write-back control unit is configured to select at least one to-be-written-back microinstruction from the instruction information recording unit to perform write-back operation based on the instruction state information, and the write-back operation is used for writing an execution result of the to-be-written-back microinstruction back to the register. The device can realize out-of-order write-back of the instruction and improve the execution efficiency of the instruction.

The invention relates to the technical field of chips, and provides a tensor memory accelerator and a tensor memory acceleration method.The tensor memory accelerator comprises an instruction distribution unit and a plurality of tensor memory acceleration engines capable of conducting parallel processing; wherein the instruction distribution unit is used for distributing a tensor memory acceleration instruction to idle engines in a plurality of tensor memory acceleration engines for execution, each tensor memory acceleration engine is provided with a descriptor storage unit for storing descriptors, and each tensor memory acceleration engine is used for storing the descriptors according to multiplexing identification information in the tensor memory acceleration instruction. And multiplexing the descriptors from the corresponding descriptor storage units or obtaining new descriptors from the external memory. According to the invention, each tensor memory acceleration engine can selectively multiplex descriptors from the local or obtain new descriptors from the outside, so that instruction-level parallel processing and effective multiplexing of descriptor information are realized.

The invention discloses a self-coupling PID (proportion integration differentiation) flight control method of a rudder-controlled transverse-row type rotor unmanned aerial vehicle based on dynamic multi-dimensional heterogeneous fuzzy logic, and belongs to the technical field of flight control of rudder-controlled transverse-row type rotor unmanned aerial vehicles. A flight control system architecture of the self-coupling PID flight control method is composed of three core modules: (1) a dynamic multi-dimensional fuzzy logic coupling PID controller (DMHFL-SCPID); (2) control instruction distribution; and (3) a six-degree-of-freedom dynamical model of the rudder-controlled transverse rotorcraft. According to the control algorithm, input and output dynamic parameters of a system are analyzed in real time, and four-dimensional flight control quantities (roll, pitch, yaw and height instructions) are generated. A control distribution strategy based on the aerodynamic characteristics of the rotor converts the instructions into actuating quantity of an actuating mechanism, and flight attitude adjustment is realized by changing aerodynamic load distribution of a rotor system, so that the unmanned aerial vehicle is guided to realize accurate tracking along a predetermined flight path.

The embodiment of the invention discloses a production change control method and device for mixed line production and a medium, and relates to the technical field of production control, and the method comprises the steps: collecting real-time production index data corresponding to a current production product in a current production line in real time under the triggering of a production change instruction issued by a production management system, obtaining a target process parameter set corresponding to the target product change product; according to the real-time production index data and the production change instruction, a production change state vector containing a production change stage label is determined, and the production change stage label comprises a production change preparation stage, a production change pre-adjustment stage and an execution stage; and based on the production change state vector and the target process parameter set, through a preset reinforcement learning agent, determining a time sequence production change action sequence, converting the time sequence production change action sequence into an equipment control instruction for instruction distribution, and realizing production change control. The sequential production change action sequence comprises a pre-adjustment action instruction, a parallel scheduling instruction and a parameter loading instruction.

The invention relates to the technical field of mobile communication and Internet of Things, and discloses a heterogeneous network space multi-level mobile Internet of Things cloud system based on artificial intelligence, which comprises a data acquisition module for acquiring real-time state data of a mobile Internet of Things terminal and generating a standardized network-service joint situation vector; the endogenous interference sensing module is used for generating a network interference association diagram based on the vector; the service-network dynamic decoupling module is used for reversely reconstructing terminal service characteristics according to the association diagram and decoupling a key network state sequence; the business intention abstraction module constructs a heterogeneous network cooperation state target according to the sequence; the collaborative scheduling strategy generation module is used for generating a multi-dimensional collaborative scheduling instruction by using a collaborative decision model; the network resource self-growing module is used for performing state sequence evolution after the rehearsal instruction and constructing a compensation network plane; and the instruction distribution and verification module is used for executing the instruction of the fusion compensation logic and updating the association diagram. According to the method, the problems of heterogeneous network interference and scheduling lag of the mobile Internet of Things are effectively solved.

The invention discloses an AI-based multi-device cooperative control method in an Internet of Things environment. By constructing a'perception-decision-control-feedback-self-adaption 'full-closed-loop architecture, terminal components such as an intelligent equipment group and a sensor group of an equipment layer, a multi-source data acquisition and enhancement preprocessing module of a perception layer, a dynamic equipment capability graph of an AI decision layer, an incremental AI decision model and other core units are integrated; and a cross-protocol instruction distribution and closed-loop feedback module of the control layer realizes deep processing of multi-source heterogeneous data, real-time perception of equipment capability, dynamic adjustment of task priority and autonomous optimization of a coordination strategy, thoroughly solves the technical problems of rigid coordination logic, response lag and unreasonable resource allocation of a traditional method, and improves the reliability of the system. And the intelligent level and the operation efficiency of the Internet of Things system are greatly improved.

The embodiment of the invention provides an allocation method, electronic equipment and a storage medium. The distribution method is executed by a compiler and comprises the steps that according to the position of a first type of instruction in an intermediate representation corresponding to a program to be compiled, a second type of instruction corresponding to the first type of instruction is grouped, and a dependency relationship exists between the first type of instruction and the second type of instruction; according to the grouping result, a hardware synchronization channel is distributed for the second type of instructions, and the hardware synchronization channel is configured to achieve synchronization of the first type of instructions and the second type of instructions. On the premise that hardware synchronization channel resources are limited, the method effectively reduces synchronization channel conflicts and extra waiting among different instructions through a reasonable grouping and distribution strategy in cooperation with hardware instructions, improves hardware concurrency, reduces dependence on hardware synchronization capability, and thus reduces hardware design complexity.

The invention relates to the technical field of wireless communication synchronization and gate valve action collaboration, in particular to a multichannel audio master-slave sound role intelligent conversion system and method.A master control unit broadcasts a time calibration packet to synchronize unit clocks, and an automatic calibration protocol is executed to generate an inherent processing delay baseline value; the subordinate gate valve unit records an instruction receiving and action completion timestamp through a delay detection module, calculates actual delay containing wireless transmission and local processing delay, and packages the actual delay into a structured feedback data packet for real-time feedback; a dynamic adjustment module of the main control unit filters noise through a weighted moving average algorithm, and calculates individual compensation delay parameters in combination with the dynamic buffer compensation amount of the environment interference monitoring module and delay trend prediction of an adaptive learning engine; and when abnormity occurs, historical data is called for replacement and self-inspection is triggered, an instruction distribution time sequence is adjusted according to compensation parameters, a gate valve action execution confirmation module verifies the displacement precision, and the fluid control precision and stability are improved.

The invention discloses a VR scene control method and system, and belongs to the technical field of VR scene control, and the method specifically comprises the steps: deploying a global time controller, generating a continuously increasing global timestamp at a fixed frequency, and transmitting the global timestamp to a scene rendering, audio processing and touch driving module; the scene interaction monitoring unit continuously collects user body movement and virtual object movement state data, analyzes interaction event types and characteristic parameters and then binds the interaction event types and the characteristic parameters with a current global timestamp to form an interaction information packet with the timestamp; a multi-modal feedback instruction generation unit receives the information packet, and generates three types of instructions carrying the same global timestamp based on the interaction event type, the characteristic parameters and the bound global timestamp; the feedback instruction distribution unit forwards the three types of instructions to corresponding modules at corresponding moments according to global timestamps carried by the instructions; and after executing feedback, each module records delay and sends the delay to the global time controller, so that the actual execution moments of three types of instructions in the next round are consistent.

The invention discloses a freight spaceship reentry recovery attitude cooperative control method. The method comprises the following steps: S1, determining key attitude indexes in a freight spaceship reentry recovery process; s2, collecting atmospheric environment parameters in a reentry process, and meanwhile, obtaining earth gravitational field distribution data to provide environment input for a subsequent attitude control algorithm; s3, based on the Newton's second law and the Euler equation, establishing a kinetic model of the freight spaceship, establishing an attitude kinematics model by adopting a quaternion method or an Euler angle method, and establishing an execution mechanism model for a propulsion system of the freight spaceship; through sub-filter local estimation and main filter global weighting, noise and abnormal values are effectively filtered, attitude estimation precision is improved, instruction distribution adopts a pseudo-inverse method in combination with a weighted least square method, an initial instruction is obtained through the pseudo-inverse method, then secondary optimization is performed in combination with execution mechanism constraints, instruction oversaturation is avoided, and attitude estimation accuracy is improved. Extra redundant execution mechanisms are not needed, and the hardware cost is reduced.

This application relates to the field of smart terminal technology and provides a method, system, apparatus, terminal device, and storage medium for multi-user collaborative editing. The method includes: immediately executing the operation instruction when a user's operation instruction is detected and updating the execution result to a local transient state; sending the operation instruction to a server, where the server performs conflict detection on the operation instruction, assigns a sequence number to the operation instruction, generates a pre-ordered operation instruction set, and updates the global baseline state; receiving the pre-ordered operation instruction set broadcast by the server; comparing the local transient state with the global baseline state based on the pre-ordered operation instruction set, and if there is a state difference, changing the local transient state to make it consistent with the global baseline state, and updating the consistent local transient state to the local baseline state. This application can efficiently and reliably achieve eventual consistency of the states of each client, improving the smoothness and efficiency of multi-user collaborative editing.

The application relates to a session instruction distribution method and device, equipment, a storage medium and a program product. The method comprises the following steps: receiving a current instruction in a current session, the current instruction being an instruction for calling a target object, and the current instruction carrying a current session identifier corresponding to the current session; for each instance identifier in an instance identifier set, determining a target weight corresponding to the instance identifier based on the current session identifier and the instance identifier, the instance identifier representing an instance for running the target object; selecting a target instance identifier from the instance identifier set based on the target weight, and distributing the current instruction to a target instance represented by the target instance identifier for execution. The method can improve the execution effect.

The invention relates to a program analysis method and device, electronic equipment, a storage medium and a computer program product, and the method comprises the steps that before a target program runs, a sampling buffer area is allocated to the target program, and the sampling buffer area comprises sampling buffer partitions allocated for each instruction in the target program; when any sampling moment is reached in the running process of the target program, instruction counter sampling is carried out, a sampling instruction of this time is determined, and a sampling counter in a target sampling buffer partition corresponding to the sampling instruction of this time is updated through atomic operation; after the operation of the target program is finished, determining the total sampling frequency of each instruction in the target program according to the sampling buffer area; and according to the total sampling frequency of each instruction in the target program, performing performance analysis on the target program to obtain a performance analysis result. According to the embodiment of the invention, the operation of the target program is not influenced under the condition that the sampling precision is ensured, and the performance analysis of the target program is effectively realized.

A method for parallel decoding which is applied to a processor including a first decoder cluster and a second decoder cluster, the second decoder cluster being provided with at least one shared decoder shared by the first decoder cluster. In the method, if a quantity of a plurality of instructions is greater than a quantity of decoders in the first decoder cluster, the processor assigns, from the plurality of instructions, first instructions with a quantity corresponding to the quantity decoders of the first decoder cluster to a decoder in the first decoder cluster for decoding, and the processor assigns, from the plurality of instructions, at least one second instruction other than the first instructions to the at least one shared decoder for decoding. The processor then writes micro-ops obtained by decoding the first instructions and micro-ops obtained by decoding the at least one second instruction into a first micro-op queue.

The invention relates to an instruction scheduling method and apparatus, a semiconductor device and a medium. The method comprises the steps of storing a plurality of received service instructions of a service process; distributing a corresponding time slice for each service instruction of the stored service process; and under the condition that the received control instruction indicates that the service process needs to be started, sending the service instruction in the corresponding time slice. According to the method, the efficient execution of the instruction can be realized, the uncertainty caused by communication with the service process in the instruction execution process is eliminated, and the communication reliability is high; and a specific hardware architecture does not need to be adapted, so that the compatibility is good.

This invention provides an access control method, device, and storage medium for a smart grid information system, belonging to the field of smart grid information systems. The method includes: obtaining a time series of current performance indicators; calculating the trust level of intermediate nodes in data transmission using a trust assessment model; allocating transmission paths for each instruction based on its importance and the trust level of the intermediate nodes, thus obtaining a set of instruction paths; determining the access control level of the intermediate nodes based on the path set; and continuously evaluating the trust level of the uploading data source nodes during instruction issuance, and obtaining the transmission path for the uploaded data based on the access control level of the intermediate nodes, and then uploading the data. This invention can capture temporal dependencies, accurately reflect the real-time trust level of nodes, and adapt to changes in the dynamic network environment, effectively responding to sudden failures or attacks.

The embodiment of the invention discloses a processor, a data processing method and computer equipment, and belongs to the technical field of computers. The processor comprises a scalar processing module, a vector processing module and a matrix processing module. The scalar processing module is connected with the vector processing module and the matrix processing module. A scalar processing module in the processor not only has a function of executing a processing instruction for scalar data, but also has an instruction distribution function, so that vector processing instructions in an instruction packet can be distributed to a vector processing module, and matrix processing instructions in the instruction packet can be distributed to a matrix processing module; according to the technical scheme, a module used for distributing instructions does not need to be independently deployed in the processor, the structure of the processor is simplified, the unnecessary data interaction process caused by the fact that the instruction distribution module distributes the scalar processing instructions in the instruction packet to the scalar processing module can be avoided, the data interaction efficiency is guaranteed, and the user experience is improved. Therefore, the processor quickly responds to the received processing instruction, and the data processing efficiency of the processor is ensured.

The invention belongs to the technical field of unmanned aerial vehicles, and discloses a digital twinning enabling global cooperative disturbance and destruction anti-unmanned aerial vehicle system. Comprising the steps of multi-source heterogeneous data acquisition and preprocessing, global scene digital twinning modeling, multi-protocol compatible defense instruction generation, intelligent terminal mainboard function verification and instruction distribution, global defense resource dynamic cooperative control and digital twinning-based disturbance effect evaluation, and dynamic closed loop of sensing, decision making, execution and feedback. According to the method, tactical strategies can be adjusted in real time to cope with emergencies, and particularly, based on digital twinning quantitative effect evaluation, simulation results are compared with actual warfare, and objective defense success rate and resource consumption rate reports are generated, so that each action experience can be converted into nutrients of an optimization algorithm model, and the success rate of defense is improved. And the overall countering capability is promoted to evolve continuously in iteration, and a continuous efficiency improvement mechanism for evaluating and optimizing closed-loop driving is formed.

The invention relates to the technical field of remote control, in particular to an automatic contraction hanging basket remote control system which comprises a main control unit recognition module, an automatic control module, a remote control terminal module, a data communication optimization module and an action instruction distribution module. In the invention, by combining a hanging basket contraction program with action triggering of a mechanical execution mechanism, stress monitoring of a hanging basket connecting part and action feedback, deep fusion of automatic control and real-time monitoring is realized, dynamic control and an execution path of the hanging basket are optimized, accurate action execution and efficient resource allocation are ensured, and the safety of the hanging basket is improved. The system can perform real-time control according to different working environments, errors and potential safety hazards caused by manual operation are reduced, and through continuous feedback and data updating, the system can automatically adjust a control strategy, enhance adaptability and self-repairing capability, ensure efficient and safe operation of hanging basket operation under different conditions, improve the intelligent and automatic level, and improve the working efficiency. And the overall operation efficiency and safety are obviously improved.

A system for printing uniquely identifiable quick response (QR) code-containing physical mediums and assigning feedback instructions for the same may comprise a printer and an apparatus comprising a processing system configured to cause the apparatus to execute computer-executable instructions stored in one or more memories, comprising: generating a plurality of unique QR codes each comprising non-unique information and unique information comprising unique identification data (UID), assigning each of the plurality of unique QR codes to a respective simulated ticket of a plurality of simulated tickets, assigning print information to each of the plurality of simulated tickets, generating a simulated ticket layout for the plurality of simulated tickets, assigning one or more ticket control numbers to each of the plurality of unique QR codes and one or more feedback instructions to each of the ticket control numbers, and printing a plurality of tickets via the printer.