2620 results about "Logic Control" patented technology

The invention relates to the technical field of computers, provides an automatic test script dynamic generation method and system based on multi-modal AI recognition, and is used for remarkably improving the coverage dimension and execution robustness of test cases while reducing the manual maintenance cost. The method comprises the following steps: acquiring target test interface data, extracting dynamic interaction characteristics in the test interface data, calling a trained target detection network to carry out element positioning processing on the test interface data, generating an interface element coordinate set, and generating a target test interface based on the interface element coordinate set. Calling a character recognition network to carry out multi-modal feature analysis on the interface element distribution information, and generating a feature fusion result containing character semantic features and icon classification features; the feature fusion result is input into a script generation model for dynamic path planning processing, automatic test script elements are output, and the automatic test script elements comprise logic control instructions generated based on the element operation sequence and coordinate self-correction parameters.

The invention relates to the technical field of the Internet of Things, and discloses a machine room equipment environment monitoring method and system based on the Internet of Things, and the method comprises the steps: constructing an edge calculation hardware system of the Internet of Things to obtain an integrated terminal which integrates a communication unit, an acquisition unit and a control unit; performing multi-channel parallel acquisition and edge calculation analysis on equipment and environment parameters in the machine room to obtain a standard data tuple and an analysis data packet; executing local hierarchical storage and logic control to obtain a control instruction and storage data; executing three-layer network communication interaction on the storage data to obtain a remotely accessible monitoring view; according to the method, intelligent alarm and system self-maintenance are achieved, graded and classified alarm information and a system state report are obtained, the data transmission amount is greatly reduced, meanwhile, the system response delay is reduced, the control decision accuracy is improved, and the misoperation risk is reduced.

The invention relates to the technical field of process control, in particular to an intelligent environment monitoring and adjusting system for lip fish culture, which comprises an environment parameter monitoring module, a multivariable linkage calculation module, a self-adaptive adjusting module, a fuzzy logic control module and an abnormity emergency response module. According to the method, the trend value is formed through time-phased grouping analysis and relevance calculation of the water quality parameters, dynamic prediction of the breeding environment change is achieved, the cooperative adjustment capacity among the dissolved oxygen, the water temperature and the ammonia nitrogen concentration is optimized through analysis of the multi-parameter linkage relation, the accuracy of environment control is improved, and the method is suitable for large-scale popularization and application. The cooperation efficiency of oxygen pump frequency and temperature control equipment response is improved through real-time matching calculation of equipment operation parameters, the rapid adaptive capacity to water quality changes is enhanced, abnormal fluctuation monitoring is combined with equipment linkage adjustment, rapid response during water quality sudden change is ensured, and the adverse effect of environment fluctuation on fish growth is reduced.

The invention discloses a chronic disease follow-up visit and management platform driven by a large model, and relates to the technical field of medical information technology platforms. The system is applied to managing and tracking the follow-up visit process of chronic disease patients and providing health consultation and answers, and comprises a user interface module, a logic control module, a database module, a large model module and an auxiliary function module, and the user interface module is used for providing an interactive interface between a patient and a doctor. An intelligent and efficient system platform is constructed by integrating a large model technology, a voice recognition technology and a digital human technology, the system platform adopts a privatized large model, data security and privacy protection are ensured, medical institutions are allowed to autonomously optimize and control the application of the model, and on the whole, through an advanced technical means, the intelligent and efficient system platform has the advantages of being high in practicability and easy to popularize. Refining, individuation and high efficiency of chronic disease management are remarkably improved, and the purpose is to improve the health outcome and life quality of patients.

The invention relates to the technical field of motor control, and discloses a permanent magnet synchronous motor control system and method for an electric drive hydraulic source, and the system comprises a data collection module which is used for collecting the state parameters of the electric drive hydraulic source and the operation data of a permanent magnet synchronous motor in real time through multiple sensors; the sensor redundancy and fault-tolerant module is used for performing parallel sampling through hardware dual-redundancy configuration and dual sensors; the self-adaptive fuzzy logic control module is used for dynamically adjusting a rotating speed instruction and a torque instruction of the permanent magnet synchronous motor based on the collected state parameters; a data driving optimization module; and a digital twinning prediction maintenance module. A self-adaptive fuzzy logic control module is used for dynamically generating a motor rotating speed and torque instruction based on parameters such as real-time pressure, flow deviation and change rate, a fuzzy logic algorithm is used for processing a nonlinear time-varying load and quick response, a self-adaptive fuzzy logic control rule weight and a power conversion circuit parameter are optimized through a reinforcement learning algorithm, and the control precision is improved. And dynamic self-optimization of permanent magnet synchronous motor control is realized.

A queue storage management system under an RDMA network comprises a data management module, a network transmission module, a data storage module and a queue management module which run on an FPGA platform. The data management module is bidirectionally interconnected with the network transmission module, the data storage module and the queue management module respectively; the data management module comprises a main control processing sub-module, a logic control sub-module, a data caching sub-module and a data checking and processing sub-module; the main control processing sub-module is respectively and bidirectionally interconnected with the logic control sub-module, the data caching sub-module and the data checking and processing sub-module, and is used for controlling the overall working logic of the system, including data storage management, scheduling of data transmission, working state control, dynamic allocation of system resources, abnormal state processing and starting of a fault-tolerant mechanism; the method can be more flexibly deployed in various application scenes; for multi-level abstraction of an interface, network layer queue processing and storage layer queue processing are hidden for a user level, a user does not need to care about how to process queues in a data transmission process, and only needs to care about correctness of instruction transmission, so that the system is easy to deploy and use, and has the advantages of high operation efficiency, flexible deployment and high efficiency. And the availability is high.

The invention discloses a multi-modal self-adaptive clamping system for assembling key components of a humanoid robot and a control method of the multi-modal self-adaptive clamping system, and the system comprises a multi-modal sensing module which is used for collecting assembling parameters; the edge calculation module is used for generating a control instruction by utilizing a multi-mode deep learning model according to the assembly parameters; the cloud service module is used for generating distillation data according to the assembly parameters; the self-adaptive clamping module is used for clamping and moving key components of the humanoid robot; and the programmable logic control module is used for controlling the self-adaptive clamping module to execute component assembling operation according to the control instruction and the distillation data. According to the invention, a multi-mode self-adaptive clamping system is realized, and the efficiency and the clamping stability are improved. The robot can be widely applied to the technical field of industrial robots.

The invention relates to a burning system, in particular to a liquid crystal display burning device which comprises a control module, a storage module, a burning interface module, a verification module, a monitoring module and a communication module. The control module comprises an embedded microcontroller and is used for receiving and analyzing a burning instruction and distributing the instruction to the related modules; the storage module is composed of an EEPROM and a high-speed RAM and used for storing a burning program and temporary data. The burning interface module comprises a plurality of hardware driving circuits supporting I2C, SPI and UART interfaces and is used for being physically connected with the liquid crystal display screen and executing data burning; the verification module consists of a CRC (Cyclic Redundancy Check) processor and a logic control circuit and is used for verifying the integrity of burnt data in real time; the monitoring module integrates a plurality of state detection sensors and an exception handling unit, and is used for monitoring the working state in the burning process and providing an alarm signal; the communication module is composed of a wireless transmission chip and a wired communication interface and is used for remote monitoring and log uploading.

The invention discloses an interlocking remote control system based on a low-voltage power distribution cabinet. The interlocking remote control system comprises a data acquisition module for acquiring operation data of the power distribution cabinet in real time; the edge calculation unit is used for data preprocessing, interlocking logic calculation and anomaly detection; the interlocking control execution module is used for receiving a control signal of the edge computing unit and realizing protective disconnection and restart of the equipment; the communication module supports two-way transmission of data in the data acquisition module, the edge computing unit and the cloud; the interlocking remote control method based on the low-voltage power distribution cabinet comprises the following steps: S1, system architecture design; s2, data acquisition and preprocessing; s3, constructing a self-adaptive interlocking logic control algorithm; s4, edge calculation and cloud collaboration; and S5, verifying and optimizing system functions. According to the invention, the health state of the equipment can be monitored, faults can be rapidly identified, the equipment is protected through an interlocking control mechanism, the operation efficiency of the low-voltage power distribution cabinet is effectively improved, the equipment safety is improved, faults are reduced, and the maintenance cost is reduced.

The invention belongs to the technical field of integrated circuits, and particularly relates to a speed-adjustable fan driving and anomaly detection circuit with high reliability and low cost. Comprising a current expansion driving module for providing a voltage FCC stabilized by an LDO for a fan and performing current expansion on an output current of the LDO to drive the fan; the logic control module is connected with the current expansion driving module and is used for adjusting a control signal ADJlt; n: 0gt; the value of the voltage FCC output by the LDO is changed; the open circuit and locked-rotor detection module is connected with the logic control module and the VIN port of the LDO; and the short circuit detection module is connected with the logic control module and the output end of the LDO, outputs a signal to a state flag bit FTO, and judges whether the fan is in a normal working state, an open circuit state, a locked-rotor state or a short circuit state or not according to the waveform and the level of the state flag bit FTO. The speed-adjustable fan driving circuit is integrated, and the function of detecting various abnormal states of the fan is achieved.

The invention provides a device for inhibiting drain-source overvoltage and overcurrent through active gate drive of a silicon carbide MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor), aiming at solving the problem of voltage or current overshoot caused by circuit parasitic parameters in a high-speed switching process of the SiC MOSFET and simultaneously considering the switching speed and energy loss balance. According to the device, drain-source voltage vdc and direct-current bus voltage of the SiC MOSFET are collected to serve as feedback signals, and gate driving voltage and equivalent gate resistance are dynamically adjusted; in a key stage (a Miller plateau switching-on period and a voltage rising period switching-off period) of a switch transient state, a gate resistance network is switched through a logic control circuit, and suppression of drain current overshoot and drain-source voltage overshoot is realized. Simulation verification shows that the device can reduce voltage overshoot by 20%-30% and current overshoot by 25%-60%, only a single voltage feedback channel is needed, the cost is obviously lower than that of a traditional multi-signal acquisition active gate driving scheme, and the device is suitable for a high-efficiency SiC MOSFET power converter.

The invention belongs to the technical field of integrated circuits, and particularly relates to a speed regulation driving and anomaly detection circuit of a cooling fan. Comprising a current expansion driving module for providing a voltage FCC stabilized by an LDO for a fan and performing current expansion on an output current of the LDO to drive the fan; the logic control module is connected with the current expansion driving module and is used for adjusting a control signal ADJlt; n: 0gt; the value of the voltage FCC output by the LDO is changed, so that the speed of the fan is regulated; and the sampling detection module is connected with the logic control module and the VIN port of the LDO, samples the current of the fan through a sampling resistor, converts the current into a voltage V0, compares the voltage V0 with a reference voltage Vref, and outputs a voltage signal to the level shift circuit. The speed-adjustable fan driving circuit is integrated, detection of various abnormal states of the fan is achieved, and the speed-adjustable fan driving circuit has the outstanding advantages of being simple in PCB layout and low in cost.

The invention discloses a multi-channel analog-to-digital converter for multi-channel frequency division multiplexing and a conversion circuit and method thereof, and the frequency division multiplexing multi-channel analog-to-digital conversion circuit comprises an analog frequency conversion module which is used for receiving N paths of modulation clock signals, and generating N paths of modulation clock signals according to the modulation clock signals, n paths of input signals are modulated to preset frequencies of the input signals respectively, and N paths of modulation signals are obtained; wherein N is greater than or equal to 2, and N is a positive integer; the frequency bands where the N paths of modulation signals are located are not overlapped; the analog adder is used for combining the N paths of modulation signals to obtain one path of analog signal; the input end of the analog-digital conversion module is connected with the analog-digital conversion module; the digital logic control module is used for receiving the N paths of modulation clock signals and separating the digital signals into N paths of digital signals which are output in parallel. Multi-channel analog-to-digital conversion can be realized by adopting one analog-to-digital converter, the hardware volume, cost and power consumption can be reduced, and the analog-to-digital conversion rate and precision can be improved.

The invention belongs to the technical field of integrated circuits, and particularly relates to an integrated speed regulation fan and an abnormal state detection circuit. Comprising a current expansion driving module for providing a voltage FCC stabilized by an LDO for a fan and performing current expansion on an output current of the LDO to drive the fan; the logic control module is connected with the current expansion driving module and is used for adjusting a control signal ADJlt; n: 0gt; the value of the voltage FCC output by the LDO is changed, so that the speed of the fan is regulated; and the sampling detection module is connected with the logic control module and the fan, samples the current of the fan through a sampling resistor, converts the current into a voltage V0, compares the voltage V0 with a reference voltage Vref, and outputs a voltage signal to a level shift circuit. The speed-adjustable fan driving circuit is integrated, detection of various abnormal states of the fan is achieved, and the speed-adjustable fan driving circuit has the outstanding advantages of being simple in PCB layout and low in cost.

The embodiment of the invention provides an indicator light signal sending method, a storage medium, an integrated hard disk and a computer program product, the indicator light signal sending method is applied to the integrated hard disk, the integrated hard disk comprises a mainboard, a backboard and a hard disk interface card, the number of transmission channels of a virtual pin interface of a central processing unit on the mainboard is expanded to N through a channel expansion assembly, the N transmission channels are connected with N first connectors on a mainboard in a one-to-one correspondence mode, and the method comprises the steps that N enable signals are sent to first type pins of the N first connectors respectively, so that the N enable signals are forwarded to a logic control device through first type pins of N second connectors connected with the N first connectors in a one-to-one correspondence mode; and the N indicator light signals are respectively sent to the second type of pins of the N first connectors through the N transmission channels, so that the N indicator light signals are forwarded to the logic control device through the second type of pins of the N second connectors.

The invention relates to an electromagnetic pulse collaborative deicing system based on multi-mode perception. The system comprises a power supply system; the FPGA controller is used for logic control and signal processing, calculating electromagnetic pulse parameters and realizing high-speed and accurate deicing instruction scheduling; a sensing module; a real-time detection system; a pulse generation unit; and the deicing module executes an electromagnetic pulse deicing action and efficiently removes ice covered on the surface of the power grid. The invention further discloses an electromagnetic pulse collaborative deicing method based on multi-mode sensing. Through the electromagnetic pulse technology, the power transmission and distribution line ice can be efficiently removed, compared with a traditional thermal ice melting method, the energy consumption is greatly reduced, the response speed is remarkably increased, and the deicing strategy and parameters are dynamically adjusted according to real-time monitoring data based on the real-time signal processor of the FPGA; the power supply priority can be dynamically adjusted according to the energy supply condition, the energy is improved to the maximum extent, and an accurate deicing basis is provided for the system.

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

An output driver includes a pull-up transistor having a first current path coupled between a supply voltage and an output node; a pull-down transistor having a second current path coupled between the output node and a reference ground; the gate driving circuit is used for driving the control end of the pull-up transistor according to the first control signal and driving the control end of the pull-down transistor according to the second control signal; the logic control circuit is used for generating a first control signal and a second control signal according to an input signal and an enable control signal; and the current source circuit is used for respectively providing pull-down or pull-up current related to the power supply voltage to the control end of the pull-up transistor or the pull-down transistor when the output signal at the output node is in a rising edge or falling edge process, so as to counteract the influence of the power supply voltage on the transmission time of the output signal. Therefore, stable transmission time can be maintained in a wide power supply voltage range.

The invention provides an industrial control method and system, a medium, equipment and a program product. The method comprises the following steps: generating a control instruction by using a logic control module; the control instruction is transmitted to the equipment driving module; an equipment driving module is used for driving execution equipment to execute corresponding operation of the control instruction; wherein the logic control module and the equipment driving module are physically isolated or isolated by using middleware. In other words, independent operation between the logic control module and the equipment driving module is realized through physical isolation or middleware isolation, so that tasks are ensured to be mutually independent and do not interfere with each other, and the stability and safety of the system are improved. In addition, resource competition between the logic control module and the device driving module can be reduced, delay and conflicts are reduced, and real-time performance is improved. In addition, the logic control module and the equipment driving module can be independently developed, tested and optimized, so that the operation and maintenance cost is reduced.

The invention discloses an asynchronous electroencephalogram signal acquisition system and method, and belongs to the technical field of biomedical engineering and neuroscience, and the system comprises a front-end asynchronously-triggered electroencephalogram signal acquisition circuit which is used for achieving asynchronous acquisition of electroencephalogram signals and improving the quality of the electroencephalogram signals so as to facilitate subsequent analysis and processing; the embedded parallel logic control module is used for realizing signal processing and data flow management; an electroencephalogram asynchronous physiological calculation chip is arranged in the embedded parallel logic control module and used for improving the speed and accuracy of data processing and physiological calculation of emotions, and emotion classification is achieved. By the adoption of the asynchronous electroencephalogram signal collecting system and method, the electroencephalogram signals can be efficiently collected and processed, and emotional state analysis is facilitated.

The invention discloses a firmware upgrading system and method, and relates to the technical field of firmware, and the firmware upgrading method comprises the steps that a standby memory is newly arranged in the firmware upgrading system, and in the upgrading process, when a logic controller obtains a first firmware upgrading instruction, the control right of the standby memory is obtained. Moreover, when the control right of the standby memory is obtained, the upgrade firmware is read from the standby memory, and the upgrade firmware is verified. And when the verification is passed, a verification completion notification is sent to the management controller, and the control right of the main memory and the control right of the standby memory are both handed over to the management controller. Therefore, the management controller can automatically read the upgrade firmware from the standby memory and write the upgrade firmware into the main memory to complete firmware upgrade operation. In the firmware upgrading operation process, the logic controller does not need to perform reset operation on the management controller, so that the management controller can normally perform business processing.

The invention relates to a time-sharing measurement device for carbon content in flue fly ash. The device mainly comprises a sampler, a detection part and a control module, the sampler is provided with a plurality of sampling pipes, each sampling pipe is provided with an adjusting valve, time-sharing sampling is achieved through PLC logic control, and full-time-period fine coverage is ensured. The separation component separates fly ash from gas and collects a fly ash sample, and the detection component integrates a spectral analysis unit and a data processing unit, performs spectral analysis on the fly ash sample and calculates the carbon content. According to the method, multiple objective functions such as the fly ash carbon content, the combustion efficiency and the system stability are optimized at the same time by selecting multi-dimensional equipment process parameters and fly ash measurement data and adopting an evolutionary optimization algorithm, global optimization is achieved, the dependency relationship among the process parameters is fully considered, falling into a local optimal solution is avoided, the optimization efficiency is improved, and the method is suitable for popularization and application. The method can systematically coordinate the contradictory relation among all targets, achieves the maximization of the operation efficiency of the system while detecting the fly ash, and enables the combustion system to operate stably.

The satellite-borne heterogeneous computing system comprises a CPU (central processing unit) module, an FPGA (field programmable gate array) module and an NPU (network processing unit) module, the CPU module is used for receiving instructions and telemetering polling of a satellite service computer, reading load scientific data received by the FPGA module, providing installation and operation environments for various types of universal application programs, and scheduling and controlling the NPU module; the FPGA module is used for providing external interface expansion, receiving load scientific data and sending the load scientific data to the CPU module, and is also used for providing a logic control function comprising SPI FLASH triple modular redundancy logic and barking reset; and the NPU module is used for performing high-performance calculation and providing a high-computing-power environment for the system. The system has high flexibility, reliability and universality, and can operate various computing software and neural network algorithms; the power consumption is low, and strict requirements of a satellite platform on power consumption can be met. And a plurality of systems are interconnected to form a distributed computing system, so that the performance is extremely high.

The invention belongs to the field of electrical variable measurement, and particularly relates to a single battery equalization management method for a lithium battery BMS (Battery Management System) protection board, which comprises the following steps of: acquiring voltage, temperature, total current and cycle index of each single battery in real time; based on a second-order equivalent circuit model and an extended Kalman filtering algorithm, multi-source information is fused, and the health state and the charge state are estimated with high precision; constructing a dynamic equilibrium trigger threshold fusing the charge state standard deviation, the range and the health state attenuation factor; a bidirectional flyback or multi-winding transformer active equalization strategy is selected according to the inconsistent distribution characteristics and the temperature field, and equalization current is accurately controlled through pulse width modulation; and continuously monitoring the efficiency, the temperature rise rate and the convergence in the equalization process, and dynamically optimizing the equalization parameters by using the fuzzy logic controller until the inconsistency reaches the standard. According to the technical scheme, accurate, self-adaptive, high-efficiency and safe single battery equalization management can be realized, the service life of the battery pack is effectively prolonged, and the operation reliability of the system is improved.

The invention relates to the technical field of boiler tail gas treatment, in particular to a boiler tail gas multi-pollutant cooperative control system based on linkage of a PLC and a frequency converter. The system comprises a data acquisition module, a PLC control module and a collaborative optimization module. Concentration data of pollutants in boiler tail gas are collected in real time through the data collection module, the boiler tail gas is introduced into the desulfurization and denitrification tower through the inlet induced draft fan, the PLC control module sets driving rules of the inlet induced draft fan through a logic controller of a PLC, the operation frequency of the inlet induced draft fan is dynamically adjusted according to the content of the pollutants in the boiler tail gas, and the desulfurization and denitrification effect of the boiler tail gas is improved. And the collaborative optimization module returns the tail gas which does not reach the standard to a boiler for secondary desulfurization and denitrification, the tail gas which reaches the standard is introduced into a dust removal tower through an outlet induced draft fan, the electric dust removal voltage is adjusted according to the content of ammonia gas in the tail gas, and linkage control over desulfurization, denitrification and dust removal is achieved by taking the minimum operation cost as the target and adopting a genetic algorithm.

The invention discloses an oligosaccharide enzyme fermentation process control system and method based on pH and dissolved oxygen electrode feedback, relates to the technical field of oligosaccharide enzyme fermentation, and aims to improve the yield and activity of oligosaccharide enzyme. The system comprises a pH electrode, a dissolved oxygen electrode, a stirrer, a ventilation system and a temperature control system, and accurate control is realized through a data acquisition and processing unit, a logic control unit and a human-computer interface. The control method comprises the steps of seed culture, shake flask fermentation, fermentation tank culture, monitoring and evaluation as well as optimization and adjustment. Through a segmented oxygen control strategy and dissolved oxygen and stirring linkage control, the dissolved oxygen level is accurately controlled, the yield and activity of the oligosaccharide enzyme are remarkably improved, the fermentation process conditions are optimized, and the monitoring and evaluation capability is enhanced. The method is suitable for industrial production of the oligosaccharide enzyme, and is beneficial for improving the product quality and the economic benefit.

A waypoint, navigation controller and corresponding controlling methods are described, where the controller functions as a multiple input-multiple output, e.g., nonlinear angular velocity and linear speed controller for a land vessel such as a skid-steer vehicle. The controller and the controlling methods may be based on a fuzzy logic controller (alternatively referred to as “fuzzy controller”). The membership functions of the fuzzy controller may employ a trapezoidal structure with a symmetric rule-base. In addition, a Hierarchical Rule-Base Reduction (HRBR) is incorporated into the controller so as to select only the rules most influential on state errors by selecting inputs / outputs, determining the most globally influential inputs, and generating a hierarchy relating inputs via a Fuzzy Relations Control Strategy (FRCS). This disclosure is further directed to a fuzzy logic controller with Hierarchical Rule-Base Reduction (HRBR) and implemented as neural network and training of such a fuzzy logic controller via reinforcement learning based on an ANFIS actor.

The invention discloses a control system for a cooling fan, and relates to the technical field of cooling fan control systems. The temperature acquisition module is used for monitoring the temperature of a key heating part in real time by adopting a high-precision temperature sensor and converting an analog signal into a digital signal through a data acquisition card; the data processing module is used for receiving the data from the temperature acquisition module and analyzing the data by using an embedded processor; a self-adaptive filtering algorithm is built in the module so as to reduce the influence of environmental noise on temperature reading; and the core of the control algorithm module is a PID (Proportion Integration Differentiation) controller, and a hybrid control strategy is formed by combining fuzzy logic control. Through accurate temperature monitoring and an intelligent control algorithm, the system can quickly respond to temperature change, automatically adjust the rotating speed of the fan, realize efficient heat dissipation and prolong the service life of equipment; the system adopts a variable-frequency speed regulation technology, the operation of the fan is adjusted according to actual requirements, unnecessary energy consumption is avoided, and the energy-saving effect is achieved.

The embodiment of the invention relates to a redundancy switching method for a controller, computing equipment and a storage medium. The method comprises the following steps: monitoring state information of current main equipment in a first main control unit and a second main control unit by a redundancy interaction switching unit so as to generate a redundancy monitoring signal based on the monitored state information; in response to determining that the redundancy monitoring signal indicates to perform redundancy switching, the switch switching unit cuts off the communication connection with the current master device, and the current slave device in the first master control unit and the second master control unit is switched to a new master device; and a new main device in the first main control unit and the second main control unit processes the data received by the controller, executes the logic control function of the controller, and performs data transmission through the base plate high-speed connector. Therefore, the redundancy switching speed of the single board card and the single module can be effectively improved, the space requirement is small, the redundancy control function can be realized by being carried on the single board card and the single module, and the hardware cost is greatly saved.

The invention discloses a universal control box and method based on a programmable control logic library, and the method is characterized in that the method comprises the steps: capturing an operation feature signal of controlled equipment in real time through a signal collection module, and extracting an equipment feature vector to construct an equipment digital fingerprint; performing matching degree calculation on the feature vector and a control module of a pre-stored logic library, selecting a target logic control module, and generating an expected control parameter in a virtual sandbox; driving equipment to run through the target module, acquiring running data in real time, and comparing the running data with expected parameters to generate a deviation report; aggregating historical data based on the deviation report, and performing parameter increment optimization on the target module to generate a versioned patch; fusing the patch and the equipment full-dimension log to construct a digital twinborn body, predicting the health state of the equipment based on twinborn data, and outputting a logic library iteration instruction; and flexible control is driven by a data closed loop, so that the problems of customized cables and non-standard mechanical trepanning caused by the difference of controlled equipment of the industrial control box are solved, and one box is universal.