55 results about "Alternative control" patented technology

The invention relates to the field of control, in particular to a zone control method and system for a temperature field of a copper material heat treatment furnace. In the off-line stage, a strategy library containing various high-efficiency affine control laws is calculated in advance by solving a multi-parameter planning problem, the furnace temperature state space is divided into a plurality of explicit control subareas according to the coupling strength of all temperature areas in the furnace, and a set of alternative control laws are assigned for each subarea; during on-line operation, the partition to which the current furnace temperature belongs is determined according to the current furnace temperature, the partition with the minimum performance cost is quickly selected from the alternative control laws of the partition through short-time domain prediction to serve as the current optimal law, and when the predicted furnace temperature enters the boundary of the partition, the optimal control laws of the current partition and the adjacent partition are weighted and mixed; otherwise, directly adopting the current optimal law to generate a control instruction and applying the control instruction to the heater.

The invention discloses a feature point identification method of a river hydrodynamic condition. The method comprises the following steps: S1, hydrological data collection; s2, dividing flow levels and simulating a flow field of each flow level; s3, arranging alternative control sections; s4, determining a target control section; and S5, constructing a correlation function to determine a target feature point. According to the method, historical hydrological and geographic data of a to-be-monitored river reach are utilized, hydraulic engineering simulation software is combined, a target control section is selected and determined by calculating section similarity indexes, relevancy values of all nodes in the target control section are calculated and selected through a constructed relevancy function, and the flow velocity of the nodes is combined; determining alternative feature points, and finally rejecting points influencing navigation, namely target feature points; the identified feature points are optimal monitoring points for arranging the river flow velocity monitoring device, a scientific basis is provided for reasonably arranging flow velocity monitoring points, only the water flow velocity of a limited number of feature points can be monitored, and the hydrodynamic change condition of the whole river can be mastered.

The invention discloses an industrial automatic control system based on batch production, and relates to the technical field of industrial automatic control, a matrix construction module compares the importance of indexes in pairs to obtain a judgment matrix, the judgment matrix is subjected to normalization processing, and then the weight vector of each index is calculated; the strategy output module generates the grey correlation degree of each alternative control strategy according to the difference coefficient, then substitutes the grey correlation degree of each alternative control strategy and the weight vector of the index into a fusion algorithm so as to calculate the comprehensive score of each alternative control strategy, sorts all the alternative control strategies according to the comprehensive score, and finally outputs the sorted alternative control strategies. And selecting the alternative control strategy with the first sequence to be applied to the current production scene of the production line. The control system can carry out multi-target comprehensive evaluation under an uncertain condition, so that the model can adapt to different production scenes, comprehensive optimization of multiple indexes is realized, and an optimal control strategy is selected for use.

The invention discloses a method and a device for monitoring a control channel in a node used for wireless communication. The first processor receives a first information block, and the first information block is used for configuring a first search space set; monitoring a control channel alternative in the first search space set; wherein the aggregation level of the first search space set and the alternative monitoring mode of the control channel in the first search space set comprise reasoning correlation. According to the invention, the monitoring efficiency of the alternative control channel is improved, and the overhead is reduced.

A trailer brake control module (300a; 300b; 300c) for a towing vehicle (502) facilitating braking of a towed vehicle or trailer (504) includes a pressure supply port (P11), a trailer control pressure port (P22), a primary control port (P42) for receiving either directly and / or indirectly a control brake pressure for operating the trailer brake control module (300a; 300b; 300c). The primary control port (P42) receives the control brake pressure from a pneumatically operated pressure medium, a pneumatic control pressure line (308.1) provides alternative control brake pressure for operating the trailer brake control module (300a; 300b; 300c), wherein the pneumatic control pressure line (308.1) receives the alternative control brake pressure from an electronically operated pressure medium, and a relay valve (310) is activated using either the control brake pressure received at the primary control port (P42), or the alternative control brake pressure from the pneumatic control pressure line (308.1).

Phase-redundant voltage regulator device (300) comprising: a plurality of controller phases (126A, 126B, 227A, 227B, 227C, 227D), each containing an electrically connected controller (116) to receive an input voltage at a controller input (240) and to provide a corresponding output voltage at a controller output (242); a control logic (366); and a set of phase groups of the plural controller phases, which contains a first and a second phase group (374, 376), wherein each phase group contains: a common controller input (V IN ), which is electrically connected to the control inputs of the phase group; a common controller output (V1; V2) which is electrically connected to controller outputs of the phase group; at least one redundant control phase; at least one defined controller phase (126A, 126B) from the plurality of controller phases; at least one replacement controller phase (227C; 227D) of a set of replacement controller phases; and a multi-phase controller (MPC) (122) electrically connected to each specified controller phase of the phase group, the MPC being configured to provide phase fault signals (308A, 310A; 308B, 310B) and a shared current phase control signal (I SHARE )(304A, 306A; 304B, 306B), which were received from each specified controller phase of a corresponding phase group, is transmitted to the control logic (366); wherein the set of substitute controller phases from the plural controller phases contains a first and a second substitute controller phase (227A, 227B), wherein each substitute controller phase contains (227A, 227B, 227C, 227D): a secondary output OR switching unit (118A) which is electrically connected and configured to limit the current flow into a secondary output (206) of the substitute controller phase; a first output switching unit (217) configured to electrically connect the controller output (242) of the substitute controller phase to a first common controller output (V1) in response to a first phase enable signal (316A; 316B); and a second output switching unit (219) configured to electrically connect the controller output (242) of the substitute controller phase to a second common controller output (V2) in response to a second phase enable signal (318A; 318B); where the control logic (366) is electrically connected to: MPCs (122) of each phase group (374; 376) of the set of phase groups, wherein the control logic is configured to the I SHARE -receives phase control signals (304A, 306A; 304B, 306B) from the MPCs and exchanges phase error signals (302A, 308A, 310A; 302B, 308B, 310B) with them; and Substitute controller phases (227A, 227B) of the set of substitute controller phases, wherein the control logic is configured to activate phase enable signals (316A, 318A; 316B, 318B) to the substitute controller phases (227A, 227B) as well as I SHARE -Transmits phase control signals (314A; 314B) to these and receives phase error signals (312A; 312B) from them; wherein the control logic is configured to electrically connect a substitute controller phase (227A, 227B) to a phase group (374; 376) containing a failed controller phase (126A, 126B) in response to receiving a phase fault signal (308A, 310A; 308B, 310B) from an MPC (122).

A vehicle control device is provided that is capable of ensuring a control margin time necessary for evasive steering and collision avoidance control.A means and a device are provided in which detection information of a two-wheeled vehicle is stored. When the two-wheeled vehicle is overtaken, the detection information of the two-wheeled vehicle, detected in the past, is read as a trigger when a carrier vehicle makes a left turn at an intersection to determine the possibility of a collision with the carrier vehicle. Predictive detection information is calculated when the obstacle is actually detected during the carrier vehicle's left turn. By using the pre-calculated predictive detection information, it is immediately confirmed that the detected obstacle is a re-detection of a previously detected moving object, and an evasive control maneuver is performed.Accordingly, it is possible to secure a control margin time for collision avoidance with respect to an obstacle coming from the rear of the carrier vehicle when turning left, which is difficult to avoid, and it is possible to prevent a collision.

A flow ratio controller system includes an inlet receiving a total inlet fluid flow from one or more inlet channels, distribution channels fluidically connected to the inlet and arranged in parallel in a branching flow path downstream of the inlet, and a controller. The distribution channels includes a hybrid distribution channel. The controller selectively operates in alternative control modes including a flow verification control mode and a flow ratio control mode. In the flow verification control mode, the controller calculates a calibrated value for a reference volume using measurements from a mass flow meter in the hybrid distribution channel, then calculates a target channel calibration value for the mass flow meter in the target distribution channel. In the flow ratio control mode, the controller controls each of the distribution channels, including the hybrid channel, according to a respective flow ratio setpoint for each distribution channel.

This invention discloses a method for early warning and decision-making regarding earth pressure risk in subway shield tunneling construction, relating to the field of shield tunneling technology. The method includes the following steps: S1, acquiring data to construct a control benchmark system and generating a weight vector; S2, collecting datasets and conducting evaluations to obtain comprehensive state indicators, then benchmarking them against the control benchmark system to identify earth pressure anomaly types, determine risk control levels, and match alternative control measures; S3, constructing an optimized decision-making model and calculating the cost-risk balance coefficient; S4, prioritizing each alternative control measure, generating early warning signals and control decision schemes, and simultaneously collecting effect data; S5, dynamically iteratively updating the control benchmark system and the optimized decision-making model based on the effect data. This invention simplifies the emergency response process for earth pressure risk by constructing an early warning and decision-making method for earth pressure risk in subway shield tunneling construction, improving the accuracy and response speed of earth pressure risk control.

To provide a flow ratio controller system.SOLUTION: A flow ratio controller system includes an inlet receiving a total inlet fluid flow from one or more inlet channels, distribution channels fluidically connected to the inlet and arranged in parallel in a branching flow path downstream of the inlet, and a controller. The distribution channels include a hybrid distribution channel. The controller selectively operates in alternative control modes including a flow verification control mode and a flow ratio control mode. In the flow verification control mode, the controller calculates a calibrated value for a reference volume by using measurements from a mass flow meter in the hybrid distribution channel, and then calculates a target channel calibration value for the mass flow meter in the target distribution channel.SELECTED DRAWING: Figure 1A

The utility model discloses a low energy consumption water purification device. The low energy consumption water purification device includes the filter mechanism for filtering, the desalination mechanism for desalination and the disinfection mechanism for disinfection, the desalination mechanism includes main desalination pipe, vice desalination pipe, diaphragm pump, nanofiltration membrane component, membrane capacitance deionization device and valve component for the water flow into membrane capacitance deionization device or vice desalination pipe of alternative control, the filter mechanism and disinfection mechanism are connected through main desalination pipe, diaphragm pump, nanofiltration membrane component and membrane capacitance deionization device are installed in sequence on main desalination pipe, vice desalination pipe is provided with on main desalination pipe in parallel with membrane capacitance deionization device. The low energy consumption water purification device of the utility model can select desalination path according to TSD, avoids unnecessary equipment starting, and saves energy consumption.

Interference on control channels using shared spectrum is managed by a base station without the use of centralized spectrum control device. A base station monitors a plurality of alternative control channels and measures received signal strength energy corresponding to each of the plurality of alternative candidate control channels. A received signal strength indicator (RSSI) is measured for each channel-beam combination. An average RSSI value is determined for each candidate control channel. A candidate control channel can be, and sometimes is, removed from further consideration for selection based on one or more RSSI based exclusion criteria. Among the remaining candidate control channels, a control channel with the lowest average RSSI is selected. The base station uses the selected control channel to transmit control information via wide control channel beams and uses one or more of the other channels to transmit data via narrow data channel beams.

The invention discloses a networked automobile-oriented control information value evaluation method based on model prediction, and relates to the technical field of vehicle control, and the method mainly comprises the steps: obtaining control information which is sent by a front vehicle and comprises a plurality of future time slot prediction state sequences of the front vehicle; taking the control information as known input, solving a model prediction control problem taking minimization of a preset objective function as a core, obtaining a first optimal control sequence, and calculating a first control performance index; under the condition that the control information is assumed to be missing, generating an alternative control information sequence through extrapolation based on the historical control information; taking the alternative control information sequence as known input, solving the model prediction control problem to obtain a second optimal control sequence, and calculating to obtain a second control performance index; and calculating a difference value between the first control performance index and the second control performance index, and defining the difference value as an information value of the control information. According to the invention, dynamic quantification of control information value and intelligent scheduling of communication resources are realized.

The replacement device is mounted on a vehicle equipped with multiple vehicle-mounted control devices, and includes a control unit and a replacement unit. The control unit controls the replacement unit based on the transmission data sent from the multiple vehicle-mounted control devices, determines the abnormal vehicle-mounted control device based on the transmission data, and invalidates the abnormal vehicle-mounted control device. A program for performing the function that the abnormal vehicle-mounted control device determines to be performed under normal circumstances is applied to the replacement unit, and the replacement unit replaces the invalid vehicle-mounted control device by executing the applied program.

Technologies are provided for a programmable hardware proxy (PHP) for assessment of control logic. A control sequence that controls execution of an automation task within a physical automation system can be accessed to generate a virtual representation of physical control connections among sensor devices and a control device associated with an automation subsystem. The virtual representation constitutes a realistic virtual control interface that can be exposed to the automation subsystem in virtual domain. The virtual control interface can replace the control device in virtual domain, while preserving the functionality of the control device. The virtual control interface constitutes the PHP for the sensors devices and the control device. The PHP can be used to assess control logic for the automation subsystem, without reliance on hardware present in the automation subsystems.

The invention provides a control display control method and device, electronic equipment and a storage medium. Displaying a target control comprising one main control and at least one alternative control, wherein the target control corresponds to N execution functions; n is not less than 2 and is equal to the sum of the number of the main controls and the number of the alternative controls; the main control is a control in a selected state in the target controls; determining an execution function of the main control as an execution function currently corresponding to the target control; in response to a selection operation for the alternative controls, adjusting the target alternative control to be in a selected state, and adjusting other controls in the target control to be in an unselected state; and switching the execution function currently corresponding to the target control into the execution function corresponding to the target alternative control. In the mode, the controls in the target controls execute different functions in the self-selected and non-selected states, switching of the corresponding functions of the target controls can be achieved without additionally adding switching controls, and the interface display efficiency is improved.

The invention discloses a water turbine speed regulation controller based on deep learning and a long-short-term memory network, and belongs to the technical field of hydroelectric generation control. In order to solve the problems that a PID controller is insufficient in regulation performance, parameters depend on artificial experience and the like, a speed regulation controller is designed by adopting a long short-term memory network (LSTM) and combining deep learning, and the PID controller is replaced. The method specifically comprises the steps that a water turbine adjusting system simulation model is built, and input and output data under a PID controller is collected under multiple working conditions to serve as training and verification data of an LSTM prediction model. In the construction of the LSTM controller, time sequence feature learning and adaptive weight optimization are introduced, so that the performance of the LSTM controller is improved. A simulation experiment shows that the speed regulation controller constructed by the invention not only can replace a PID (Proportion Integration Differentiation) controller, but also has excellent transient performance.

The invention belongs to the field of control of vacuum hole plugging machines, and relates to a filling control method and system of an integrated vacuum hole plugging machine. The method comprises the following steps of: partitioning based on a hole site density distribution diagram of the circuit board, setting an independent prediction and control time domain for each region, and constructing a state vector comprising a predicted filling volume, a slurry flow resistance coefficient and a vacuum chamber leakage rate; in the control process, multiple sets of scraper pressure and speed alternative control sequences are generated through a kinetic model, the filling volume deviation, the overflow risk and the control vector variable quantity of all the sequences in a prediction time domain are evaluated through a weighting function, and therefore a quadratic type performance index function is constructed; and solving a quadratic performance index function to obtain an optimal control sequence and execute a first instruction, and updating a state vector by adopting a double-cycle mechanism to complete closed-loop control. According to the method, the problems of cavities and overflow caused by non-uniform hole position density are solved, and the consistency and stability of hole plugging quality are ensured.

The invention relates to the technical field of smart city equipment control, and discloses a smart city equipment closed-loop control method and system based on machine learning, and the method comprises the steps: obtaining a user advanced instruction and implicit preference through a natural language processing and behavior pattern analysis technology, establishing multi-tenant demand mapping; analyzing the tenant demand data by using a Bayesian preference learning algorithm, and generating a multi-dimensional tenant portrait; seeking an optimal balance point between the tenant satisfaction and the energy efficiency, and generating a control decision scheme; implementing a dynamic space-time partition control strategy; when a system component fails or an unforeseen scene is encountered, a replacement control program is automatically synthesized, and system self-repairing is achieved; the multi-tenant satisfaction degree is improved, and the user satisfaction degree mean value is improved; the adaptive capacity of the system is enhanced, the abnormal scene processing proportion without manual intervention is improved, and the recovery time after the system fails is shortened.

The invention provides a multi-terminal collaborative power grid interaction control method and system, and the method comprises the steps: S1, querying terminals in a power grid system and built-in instruments of the terminals, obtaining power parameters based on the built-in instruments, and constructing a data structure body of each terminal; s2, determining relevancy among different terminals according to the data structure body of each terminal; s3, for any terminal, selecting the terminal of which the relevancy with the terminal reaches a preset relevancy threshold to obtain a terminal set; s4, analyzing the data structure body of any terminal, and determining a control demand and an alternative control instruction; and S5, taking the terminal with the control requirement as a target terminal, querying a terminal set corresponding to the target terminal, determining the other-end influence quantity of each alternative control instruction in the terminal set, and determining a final control instruction according to the other-end influence quantity.

A method for controlling a roadwheel actuator (RWA) of a vehicle includes, using one or more processors, determining an expected cornering state of the vehicle by determining at least one of an expected yaw rate an expected lateral acceleration of the vehicle, determining an actual cornering state of the vehicle by determining at least one of an actual yaw rate and an actual lateral acceleration of the vehicle, determining a cornering state error based on the expected cornering state of the vehicle and the actual cornering state of the vehicle, generating an RWA control signal based on the cornering state error, and controlling at least one function of the vehicle using the RWA control signal.

This software update system updates vehicle control software that is executed by an electronic control device mounted on a vehicle and controls the vehicle. The software update system comprises: a monitoring unit that monitors an operation state of an alternative control means for controlling the vehicle in place of the vehicle control software, and acquires a log of the vehicle control software in a period including at least a time point before an operation start time point of the alternative control means when the alternative control means operates; an update necessity determination unit that determines necessity of update of the vehicle control software on the basis of the log acquired by the monitoring unit; and a distribution unit that, when it is determined by the update necessity determination unit that update of the vehicle control software is necessary, distributes update software for updating the vehicle control software to the vehicle.

Vehicle control device comprising: - an autonomous driving control unit (20) configured to determine a travel route when autonomous driving is implemented based on environmental information and position information of a vehicle, and to calculate and output a control value according to the travel route; - a monitoring unit (21) configured to monitor the calculation time of the autonomous driving control unit (20); and - a switching unit (22) configured to receive the output from the autonomous driving control unit (20) and to output the control value or an alternative control value instead of the control value, based on an instruction from the monitoring unit (21), wherein the monitoring unit (21) is configured to, when the calculation time exceeds a threshold value, notify the autonomous driving control unit (20) of a calculation interruption request, notify the switching unit (22) of a control value switching request, make a determination as to whether or not the safety of the vehicle itself is ensured with the alternative control value on the basis of the environmental information and the position information, and notify the switching unit (22) of the safety determination result, and the switching unit (22) is configured to output the control value or the alternative control value based on at least the control value switching request and the determination result of the safety, wherein the control value is acquired by obtaining an optimal value by repeating a loop calculation a plurality of times, and if the optimal value is not detected before the calculation interruption request is transmitted from the monitoring unit (21), the autonomous driving control unit is configured to interrupt the loop calculation by being notified of the calculation interruption request and determine whether a control value in the middle of the calculation can be output as the alternative control value.

The invention relates to a throughput optimized quality of service early warning power capping system. A method is described for minimizing the interruption of throughput-oriented jobs in a power oversubscription service through dynamic control. The mechanism controls power in a hardware-independent manner, and the policy employs a multi-threshold approach, which can achieve a balance between power security and workload impact. Furthermore, when the power measurement is not available, an alternative control mechanism can ensure normal operation of the system.

A secondary control system configured to be provided between a primary control system and at least part of a main system, wherein the primary control system is configured to provide control instructions to the main system, the secondary control system comprising: a monitoring module to determine a current state and / or a future state of the main system; a control switching module configured to switch control of the main system from the primary control system to the secondary control system, wherein the control switching module is configured to: allow the control instructions from the primary control system to be provided to the main system, prevent the control instructions from being provided to the main system, or provide alternative control instructions to the main system.

The embodiments of this specification disclose a method, an apparatus, a storage medium and an electronic device for object management, which construct a recommendation model based on object characteristics of multiple objects and a set of alternative management and control actions corresponding to multiple object groups, and obtain a recommended management and control action corresponding to at least one object predicted by the recommendation model; obtain feedback information about the recommended management and control action from the at least one object, so that the recommendation model obtains unbiased estimated values ​​of preset indicators for the at least one object under each management and control action by performing reinforcement learning based on the feedback information; and optimizes the management and control actions for the multiple objects based on business objectives and the unbiased estimated values, and obtains target management and control actions corresponding to the multiple objects under the business objectives.

The present invention discloses a steam turbine valve characteristic testing device, comprising a box body, and within the box are arranged: a control card, an acquisition card connected to the control card, an acquisition interface connected to the acquisition card and a pressure sensor in an oil motor, and an industrial control computer connected to the control card and the acquisition card. The present invention enables a staff member to comprehensively and intuitively monitor the operation of a proportional valve and diagnose faults. Not only can the occurrence of a fault be predicted in advance and prompt the fault personnel to take corresponding measures, but the device can also replace the control system to control the proportional valve when the control system of the steam turbine valve is under maintenance, thereby improving the reliability of the steam turbine valve system.

The invention belongs to the technical field of vehicle stability control, and particularly relates to a vehicle stability control strategy optimization method based on a fuzzy logic theory. The method comprises the following steps: firstly, determining a control strategy alternative scheme, an evaluation criterion and a decision maker according to a preset target, calculating each attribute evaluation value and constructing an initial evaluation matrix; secondly, language evaluation given by a decision maker is converted into an intuitionistic fuzzy value; then, determining the weight of each decision maker based on a trust performance function, determining the weight of each evaluation index based on an entropy weight method, and performing normalization processing on the initial evaluation matrix; and finally, based on the constructed evaluation matrix, the decision maker weight and the evaluation index, the TOPSIS method is combined for application, alternative control strategies are sorted and selected, an optimal scheme is determined, an evaluation result has very high robustness, and the sorting problem that a traditional TOPSIS method is difficult to process information containing uncertainty and is easily influenced by subjective factors is avoided.

The invention provides a game operation control method and device and electronic equipment. The method comprises the following steps: in response to a control selection operation, selecting a first control and a second control from alternative controls; displaying the alternative game roles on a graphical user interface; wherein for the alternative game role, the first control is configured with a first function, and the second control is configured with a second function; and in response to the role selection operation, determining a target role from the alternative game roles, controlling the game function configured by the first control to be updated to the second function aiming at the target role, and updating the game function configured by the second control to the first function. According to the mode, the role configuration flexibility is improved, the operation is convenient, and the configuration efficiency is high.

The invention discloses a fuel cell control device and method. The control device is characterized in that humidifying inlet pressure sensors are arranged on a humidifier and an intercooler, hydrogen backflow pressure sensors are arranged on an ejector and a water segregator, and a heat dissipation outlet temperature sensor is arranged on a heat dissipation device; the control method comprises the following steps: detecting the current working state of an in-pile sensor, and judging whether to switch a corresponding subsystem sensor for replacement detection or not; and the monitoring value of the fault-tolerant sensor is collected, and the fault-tolerant control quantity of the reactor fluid is calculated and converted to replace closed-loop regulation. When an original in-pile fluid sensor loses efficacy, air in-pile pressure control can be replaced by humidifier inlet pressure, hydrogen in-pile pressure control can be replaced by hydrogen backflow pressure, and cooling liquid in-pile temperature control can be replaced by radiator outlet temperature. Therefore, sustainable operation of the fuel cell is ensured, and the fuel cell is prevented from emergency shutdown to damage the stack.