19 results about "Supervisory control" patented technology

The application discloses a kind of supervision control strategy generation methods based on counterexample guide deep reinforcement learning, comprising: one, definition model;Two, supervision control strategy generation, the method with deep Q network as reinforcement learning subject, introduce online counterexample guide verification mechanism, using counterexample search dynamic correction control permission dictionary and optimizing reinforcement learning strategy, finally coupling convergent deep network parameters and whole state space dynamic permission dictionary, generate with global non-blocking characteristics coordinated supervision control strategy.This method can meet non-blocking and approach maximum allowable supervision strategy without explicitly constructing the global state space of controlled discrete event system, balance between computational complexity and strategy allowance, provide a new technical approach for non-blocking control of super large scale discrete event system.

Systems and methods of executing secure write operations within combined supervisory control and data acquisition (SCADA) and programmable logic controller (PLC) systems including receiving an operator interaction at a user interface of a SCADA system, generating an encoded secure write instruction based on the operator interaction in a tamper-resistant secure format at the SCADA system, transmitting the encoded secure write instruction from the SCADA system to a PLC, extracting an operation instruction comprising an operation and a plurality of operation parameters by decoding the encoded secure write instruction at the PLC, and one of executing the operation instruction and rejecting the operating instruction at the PLC.

The application relates to a photovoltaic power station outgoing line voltage diagnosis method and system, and belongs to the technical field of supervisory control and data acquisition systems. The system realizes accurate distinction of transient disturbance and permanent fault and high-precision fault positioning by real-time acquisition of electrical quantity data through a synchronous phasor measurement unit, data preprocessing, multi-time scale feature extraction, transient and steady state identification and fault determination module analysis, and outputs diagnosis instructions based on a dynamic self-adaptive threshold and a closed-loop decision mechanism, thereby improving the accuracy, response speed and operation and maintenance efficiency of photovoltaic outgoing line voltage state diagnosis.

The application belongs to the technical field of supervisory control, and discloses a machining progress-based intelligent monitoring method and system for numerical control equipment. The method comprises the following steps: acquiring progress data, equipment state data, process execution data and alarm codes, and determining a program segment progress reference benchmark based on historical normal machining data, wherein the progress data comprises a program segment actual execution duration and a cumulative completion progress; time-aligning various types of data and associating them according to program segment numbers to obtain a fusion data set; constructing a causal directed graph comprising process execution nodes, equipment state nodes, machining progress nodes and alarm code nodes based on the fusion data set, combining with machining sequence constraints to limit edge directions, and establishing a benchmark association model; when detecting progress deviation or alarms, determining a deviation vector according to a current observation value and a prediction value and performing probability reasoning to output an abnormal root cause node and an abnormal propagation path. The application improves abnormal identification correlation, root cause positioning accuracy and disposal interpretability.

This invention discloses a liquid temperature-controlled system for phage preparations, belonging to the field of biological agent storage and transportation. The liquid temperature-controlled system for phage preparations includes a housing, a temperature regulation unit, an energy storage and power supply unit, a solar power generation unit, an environmental sensing unit, an intelligent control unit, and a monitoring, control, and data acquisition unit. This invention solves the problems of existing temperature-controlled storage equipment relying on mains power, insufficient energy management efficiency, and susceptibility to failure due to energy depletion in outdoor or unstable power environments. Through solar self-powering and intelligent energy prediction management, this invention enables long-term self-sustaining operation of the system in complex environments. Furthermore, by employing a multi-mode switching and adaptive temperature control strategy based on energy prediction, it can improve the system's environmental adaptability and energy utilization efficiency while ensuring the core temperature requirement for phage preparation activity.

The present application relates to the technical field of supervisory control and data acquisition system, specifically to a mutual aid scheduling control method based on virtual power plant, comprising the following steps: collecting actual and target power calculation deviation, processing deviation level to generate label table, configuring timer to generate trigger label, acquiring state parameters to calculate resource boundary and adjustment direction, distributing adjustment power to generate instruction sequence, issuing instructions to collect execution deviation correction error, and updating boundary to generate correction configuration set. In the present application, the grid-connected point power deviation is collected to establish a level label, the closed-loop cycle balance response and load are dynamically matched, the high-delay data is filtered combined with time stamp verification, the strategy is ensured to be based on real-time effective information, communication congestion misjudgment is avoided, the adjustment boundary is calculated according to the resource state and the ordered instruction is generated, the safety of collaborative adjustment is guaranteed, the correction amount is calculated based on the execution feedback, the response error is compensated in a bidirectional closed loop, and the target power tracking accuracy and system robustness are improved.

This invention relates to the fields of monitoring and control and data acquisition technology, and discloses a fault monitoring and processing logic method for controlled operating components based on multi-source operational data fusion. The method includes: acquiring the drive-end current command sequence and the physical feedback parameter sequence; calculating the rise rate and determining the response start time when the command sequence undergoes a step change; extracting command execution hysteresis characteristics and calculating cross-correlation coefficients to calibrate the phase offset value; correcting the sampling window phase; calculating the state residual sequence; and outputting a fault processing command when the sequence exceeds a preset monitoring threshold. This invention establishes a phase self-anchoring mechanism based on the correlation of command excitation wavefronts, eliminating dynamic response deviations caused by physical entity attribute drift, and achieving adaptive decoupling between monitoring sensitivity and load fluctuations. It is particularly suitable for vertical lifting systems with long-stroke flexible traction components, improving the accuracy of identifying sub-health states of controlled components by compensating for timing jitter caused by the release of elastic potential energy of the traction medium.

The application relates to the technical field of supervision control, and discloses a butyne glycol transportation process whole-process monitoring system and method, which comprises a pipeline construction module, a space-time registration module, a risk matching module, an instruction extraction module, a closed-loop treatment module and a report generation module. Vehicle identification, tank body identification and task numbers are subjected to hash mapping to construct a whole-process monitoring data pipeline. Vehicle operation data sets and tank body state data sets are subjected to space-time registration to obtain a multi-dimensional state data group. Dynamic risk threshold parameter sets are subjected to trigger matching to obtain a risk event record object. The risk event record object is subjected to feature analysis to obtain a control instruction set. A response state frame is listened to and received to obtain a closed-loop treatment record object. The vehicle operation data sets, the tank body state data sets, the risk event record object and the closed-loop treatment record object are serialized and merged to obtain a whole-process monitoring report. The application can improve the efficiency of whole-process monitoring of a transportation process.

This invention discloses an encoding arrangement method applicable to both a host computer and a supervisory control computer, belonging to the technical field of train monitoring systems. The method includes the following steps: the monitoring host sends a first data frame, which includes an address field, a data type field, a data content field, and a first checksum field; after receiving the first data frame, the slave device sends a second data frame, which includes an address field, a data type field, a data content field, and a second checksum field; wherein the first checksum field and the second checksum field are generated using a Cyclic Redundancy Check (CRC) algorithm. This invention's encoding arrangement method for both the host computer and a supervisory control computer improves error detection capabilities and reduces data transmission errors through CRC checksum. Data encryption ensures communication security and prevents data leakage. A heartbeat mechanism monitors the connection status in real time, preventing communication interruptions. Multi-slave addressing supports communication from multiple slave devices, improving system scalability.

The application belongs to the technical field of financial data processing, and discloses a work order management and supervision control method for financial non-performing asset mediation, which comprises the following steps: S1, collecting multi-source business data of financial non-performing asset mediation cases, performing unified regulation and structured association, and constructing a unified work order data model with a case ID as the core; S2, based on the unified work order data model, performing weighted scoring according to multi-dimensional disposal adaptation indexes, and executing work order intelligent distribution; S3, based on the distributed work order information and the case characteristic vector, performing multi-dimensional search matching and automatically backfilling associated data; S4, according to the search backfilling result and the communication negotiation state, dynamically rendering a work order form and completing information input, and driving the automatic flow of the work order state; S5, recording logs for the whole process of work order input and state flow, calculating a dynamic supervision threshold based on work order processing data, and realizing real-time early warning of abnormal work orders.

This disclosure relates to remote reset. An electronic control unit (114) is provided. The electronic control unit (114) includes an electronic device (118), an application controller (128), and a security node (134). The application controller (128) is configured to control the electronic device (118). The security node (134) is configured to monitor input signals sent from a supervisory controller (112) to the electronic control unit (114). The security node (134) is also configured to identify fault signals based on the input signals. The security node (134) is also configured to trigger a reset of the application controller (128) upon identification of a fault signal. Furthermore, a method and control system (110) for triggering a reset are proposed.

The invention relates to the technical field of software and artificial intelligence, in particular to a software development method based on natural language orchestration, which comprises the following steps of: S1, in response to a natural language demand, identifying a business entity and an action, mapping the entity into a library of a colored Pearl network, defining a color set, mapping the action into transition, and establishing a color set; constructing an incidence matrix according to the input consumption and the output of the Tokenn; and S2, iteratively constructing a branch process based on the incidence matrix, calculating a state identifier of a local configuration of a new event, and marking a cut-off event when the state identifier is repeated with a historical event so as to generate an acyclic finite complete prefix structure. According to the method, verification and supervision control synthesis are carried out through the Pearl network, and then a mathematical-level anti-deadlock section is automatically woven into a business code, so that the problems that traditional generative development mostly depends on direct generation and concurrency control of a large model, the model lacks global logical reasoning ability, and the development efficiency is low are solved. And therefore, the problem of frequent random deadlock of software in a high-concurrency environment is solved.

Systems and methods for supplying stable electrical power using an alternating energy storage architecture under supervisory control. Systems and methods may include at least two energy storage modules, an electrical bus configured to deliver power to a load, a motor-generator assembly coupled to the electrical bus, and a feedback distribution system configured to route a proportion of electrical power produced by the motor-generator assembly back to at least one energy storage module. An intelligent control system alternates discharge and recharge roles between the energy storage modules such that one module supplies power while another module is charged and maintains each energy storage module within a bounded state-of-charge envelope. The feedback distribution system is selectively engaged to reduce effective energy loss while maintaining stable power delivery. The systems and methods may apply to telecommunications towers, distributed power systems, microgrids, and other environments requiring reliable electrical power.

A method for controlling a power generating asset connected to an electrical grid. The method includes receiving, via a controller, an indication of a voltage-drop grid event occurring in the electrical grid. The method also includes, during recovery from the voltage-drop grid event, implementing, via the controller, a power and load optimization function. The power and load optimization function includes estimating a state of the power generating asset. The power and load optimization function also includes determining, via a supervisory control model programmed in the controller, a nominal command based, at least in part, on the estimated state. The power and load optimization function further includes predicting, via a nonlinear optimal control model programmed in the controller, an optimized command based, at least in part, on the estimated state and the nominal command. The optimized command is configured to satisfy one or more operational constraints during operation of the power generating asset. In addition, the power and load optimization function includes controlling, via the controller, the power generating asset based on the optimized command.

An adaptive control system has sensors measuring field parameters of the interaction between an apparatus and its environment. A module determines, from the field parameters, whether the apparatus is

This invention relates to the field of furnace temperature control technology, and more particularly to a method and system for controlling the outlet temperature of a furnace against flow disturbances. The control method includes: running a PID control loop based on the boiler drum temperature to generate a first control signal and acquiring the crude oil outlet temperature of the heat exchanger in real time; running a supervisory control logic during the heating process, generating a second control signal to forcibly reduce the heating power when the crude oil outlet temperature is higher than a first threshold; generating a third control signal to allow or forcibly increase the heating power when the crude oil outlet temperature is lower than a second threshold; the second and third control signals have higher priority than the first control signal; and outputting the highest priority control signal to the burner according to the priority. This invention can maintain the outlet temperature stable within the process target range, which is beneficial for improving the accuracy of temperature control.

This application provides a method and system for intelligent regulation and control of poultry houses based on dual temperature and humidity control, belonging to the field of supervisory control technology. The method includes: real-time acquisition of temperature and humidity datasets within the poultry house using temperature and humidity sensors; calculation of temperature and humidity control based on the environmental parameter set to generate a control command set; activation of a MOSFET switching circuit to drive the regulation device according to the control command set, intelligently regulating the poultry house environment and obtaining the regulation result; and analysis of regulation error based on the regulation result to generate a switching control mode and formulate a control strategy for continuous optimization of the poultry house environment. This application solves the technical problems of coarse regulation and lag response in poultry house environments when environmental fluctuations are large due to the single control mode in existing technologies. By using temperature and humidity coupling analysis and combining error analysis to dynamically switch control modes, the MOSFET is driven to perform precise regulation, achieving stability of the poultry house environment and ensuring it is maintained in the optimal comfort zone.