1072 results about "Control function" patented technology

The invention discloses a stamping part forming precision dynamic monitoring system based on digital twinning, and particularly relates to the field of general monitoring and adjusting systems, and the stamping part forming precision dynamic monitoring system comprises a digital twinning modeling module, a twinning simulation prediction module, an intelligent function coupling decision module and a physical execution closed loop feedback module; the digital twinning modeling module collects stamping related data through a multi-source sensor, and constructs and dynamically updates a geometric, physical and behavior three-level digital twinning body after preprocessing; the twinborn body simulation prediction module is based on three-stage twinborn bodies and is combined with parameter initialization, double-source simulation, result fusion and threshold decision to realize pre-judgment of forming precision; the intelligent function coupling decision-making module generates a targeted regulation and control instruction through a basic regulation and control function and a dynamic coupling mechanism according to the precision out-of-tolerance signal and the physical data; and the physical execution closed-loop feedback module completes instruction execution, state perception and model correction through iterative loop, realizes dynamic monitoring of the forming precision of the stamping part, and improves the forming precision stability and the production efficiency of the stamping part.

The invention discloses an array antenna phase-only real-time beam scanning and side lobe control method based on machine learning. Firstly, array geometry, scanning angles and minor lobe indexes are set; and then, array element excitation phases meeting requirements are rapidly synthesized by using a phase-only fast Fourier FFT (Fast Fourier Transform) algorithm. Constructing a training data set by taking the scanning angle and the minor lobe index as input and the corresponding phase distribution as output; training a neural network by using the data set to obtain a real-time prediction model from initial excitation distribution to accurate excitation distribution; and according to a target expected directional diagram scanning angle and a sidelobe feature, inputting the scanning angle and the sidelobe feature into a neural network to predict and obtain an array element excitation phase so as to realize a real-time phase-only beam and sidelobe control function. Input dimensions are reduced by extracting key features of a directional diagram, data generation is accelerated by means of FFT, real-time performance and precision are both considered, and the method is suitable for fast beam scheduling tasks of various array antennas.

The invention provides a training and examination robot system based on a multi-modal large model, equipment and a computer program product, and aims to accelerate training transformation and upgrading and improve coping ability as basic appeals, and based on regular training work of teams, training and examination robot, sensor acquisition equipment and big data platform three-terminal equipment. A multi-modal data acquisition layer for realizing real-time attitude detection and motion capture by using an edge calculation algorithm, a data processing and analysis layer for finishing real-time image processing through localized edge calculation in a network-free or power-free environment, and system control functions for finishing intelligent decision making, evaluation, error correction and the like are provided; an intelligent decision-making and control layer of a training subject rewriting decision-making mechanism is established, cross-modal collaborative learning middleware is utilized to realize modal representation consistency while training subject transposition evaluation is realized, training and assessment operations of the same subject of multiple persons or different subjects of multiple persons are supported, and the training and assessment efficiency is remarkably improved.

The invention provides an AI-based data cooling system with a self-adaptive regulation and control function, and relates to the technical field of data cooling, and the AI-based data cooling system comprises the following steps: collecting equipment operation parameters and operation environment parameters of database equipment; calculating a multi-dimensional load value of the equipment according to the standard operation parameters, and generating a heat dissipation strategy based on a preset AI customized model, the standard environment parameters and the multi-dimensional load of the equipment in combination with a preset temperature safety threshold; and the heat dissipation effect is judged, and the heat dissipation strategy is adjusted. According to the method, rapid closed-loop regulation and control are achieved through dynamic weight optimization and the BP neural network, CPU, memory and I / O multi-dimensional loads are accurately quantified, the temperature trend is pre-judged, and PUE and energy consumption of a data center are remarkably reduced by means of a hierarchical priority strategy; through an online learning model and execution deviation alarm and feedback optimization, manual intervention is reduced, the adaptability is improved, and the deployment cost is reduced through lightweight design.

The invention discloses a high-precision temperature control method and system for a photoetching machine, and belongs to the technical field of photoetching machine temperature control. The method comprises the following steps: acquiring a temperature array on the lower surface of a mask, heat flux density distribution of a bearing surface of an exposure table and a hot pressure difference signal of an air floating layer, carrying out feature coding, and constructing a high-dimensional thermal coupling situation feature matrix; a dynamic thermal weight correlation map is generated based on the matrix, exposure key nodes serve as anchor points, and explicit modeling is conducted on nonlinear thermal paths among the nodes through a graph neural network; further calculating the spatial gradient change rate of the heat flux per unit area of the mask region according to the thermal weight map, and mapping the spatial gradient change rate to an exposure table temperature control array to generate a nonlinear control function curved surface; and dynamically adjusting power output and response delay parameters of the local heating unit according to the control function, so that dynamic thermal field equalization with nanoscale precision can be realized, thermal drift is effectively inhibited, and the photoetching imaging quality and the yield of an advanced process are improved.

The invention discloses a wind and light energy storage power generation distribution control method and system. The method comprises the following steps: acquiring related parameters of a wind and light energy storage system; a multi-target control function is constructed based on a multi-target Harris eagle optimization algorithm, and system constraint conditions are combined in the directions of wind and light output fluctuation suppression, energy storage charge and discharge loss reduction and power grid supply and demand matching degree improvement; monitoring and adjusting the state of charge of the multi-mode hybrid energy storage unit through a wind storage combined wide-area SOC virtual synchronous control strategy, establishing association mapping and determining an initial threshold value; preliminarily distributing a power difference value between wind and light output and a power grid load by using the platform; iteratively optimizing the preliminary distribution power and then outputting target power; and sending a control instruction to realize real-time distribution. The number of the system is six, and all the units work cooperatively. According to the invention, the energy storage resource utilization efficiency and the system operation stability are improved, and the dynamic adaptation capability of the wind-solar energy storage system to the power grid load is enhanced.

The invention discloses an automatic die changing control system of a press machine. The automatic die changing control system comprises a programmable logic controller, electrical hardware electrically connected with the programmable logic controller and an execution component. The programmable logic controller is configured to achieve the control functions of sliding block die-filling height adjustment, balancer air pressure adjustment, die clamping device action, movable workbench operation and die identification number switching, and triggers at least two control functions to be executed in parallel in the die changing process. The programmable logic controller is connected with all electrical hardware and execution components through preset program logic so as to control starting, running and ending of the automatic die changing process in the whole process.

The invention discloses an indoor zero-blue-light healthy lighting system and method, and relates to the technical field of healthy lighting, and the method comprises the steps: firstly, determining lighting parameters and demands in combination with the vision of old people and a pension scene; zero blue light layered lighting hardware is constructed; integrating a plurality of sensors and a plurality of control functions to form an intelligent control module; then, self-adaptive illumination adjustment is achieved through multiple algorithms; and finally, applying the adjusted system to pension scene verification, and forming an adaptive scheme according to feedback fine tuning parameters. Through zero blue light layered lighting hardware and a multi-source perception fusion algorithm, the system adapts to the visual and behavior requirements of the elderly, adopts a pure LED light source to eliminate blue light hazards, achieves the cooperation of layered lighting and intelligent control, achieves the dynamic adjustment to meet precise lighting and reduce energy consumption, and also responds to the environment and behaviors in real time through various algorithms, maintains color temperature transition and zero blue light output, and achieves the intelligent control of the elderly. And the health value and experience are improved.

The invention discloses a dynamic simulation test verification method and system for a pumped storage unit monitoring system, and the method comprises the steps: building a high-dimensional system state matrix of a pumped storage unit based on the physical parameters and structural features of a hydraulic, mechanical and electrical system of the unit, carrying out the dimension reduction of the high-dimensional system state matrix, and obtaining a dynamic simulation test result of the pumped storage unit; a dynamic simulation model of unit multi-physics field coupling is obtained; constructing a multi-dimensional parameter space based on the parameter sensitivity coefficient and the working condition boundary condition of the dynamic simulation model, and calculating optimal test point distribution through a high-dimensional point flow diameter algorithm to obtain a test scene library; based on the dynamic simulation model and the test scene library, obtaining a real-time monitoring signal sequence conforming to a monitoring system communication protocol; and based on the real-time monitoring signal sequence, signal acquisition, logic judgment and alarm control functions of the monitoring system are tested through an automatic test script, and a performance evaluation result of the monitoring system is obtained. The test comprehensiveness and effectiveness of the pumped storage unit monitoring system are improved.

The invention relates to the technical field of control scheme design for precise aeration of a sewage treatment plant, in particular to a control method and system for precise aeration of a sewage treatment plant and electronic equipment. The control method comprises the following steps: acquiring real-time operation data of a sewage treatment process through the data acquisition device, constructing an accurate aeration mathematical model and a mechanism model, performing data mining and analysis by using the control module, calculating the optimal aeration rate, and dynamically adjusting the operation state of the aeration equipment. The system has real-time data processing and control functions. According to the system, the aeration energy consumption is reduced, the effluent quality is guaranteed to reach the standard, the system has the characteristics of intelligence, automation, energy conservation and consumption reduction, through deep integration of multidisciplinary technologies, the intelligent level of aeration control of a sewage treatment plant is remarkably improved, an economic, efficient and reliable solution is provided for the industry, and the system is worthy of popularization and application. The method has wide application prospects and remarkable economic benefits.

The invention discloses an integrated system and method with body movement control in a home environment, and the system comprises a home task construction module which is used for constructing a simulation environment, designing home tasks, labeling task data, defining task attributes, and obtaining an original home task data set; the data enhancement module is used for performing enhancement processing on the data set by adopting a supervised fine tuning SFT method and a direct preference optimization DPO method; the evaluation index module is used for setting indexes for evaluating system performance; the HLP module is responsible for decision making and planning adaptation of a tool, and generates an output O comprising a subtask and a selected bottom layer model m based on the input instruction I; the LLE module is used for converting the subtasks output by the HLP, the selected underlying model m and the inventory inv into model calling instructions, the selected underlying model m starts to execute work, error detection is carried out in real time in the execution process, the execution result is fed back to the HLP, and the execution process is recorded. The system has excellent performance.

An industrial integrated development environment (IDE) supports decoupled development of industrial control programs without requiring the programs to be initially bound to a specific industrial controller. The IDE system allows industrial control programs to be defined as smart objects within an industrial control project. These smart objects can be created without an initial binding to an industrial controller, and can subsequently be assigned to selected industrial controllers after development of the control programs is complete, or while program development is in progress. A smart object can be reused and deployed to multiple industrial controllers, providing a simple means to implement common control functionality on multiple different automation systems. To allow for deployment of smart objects to selected controllers, the IDE system supports creation of a control project having a one-to-many relationship with industrial controllers, such that multiple controllers can be defined within a single project.

The invention belongs to the technical field of grid-connected control of a power system, and discloses a method, equipment and medium for reducing a short-circuit ratio critical value of a new energy station, the method is applied to a grid-connected system, the grid-connected system comprises the new energy station and a grid-connected line for connecting the new energy station into a power grid, and the new energy station comprises a grid-following type converter. The method comprises the following steps: acquiring a rated capacity and a grid-connected voltage grade of a new energy station, and determining a pre-selected capacity of direct-current self-synchronization control networking type equipment; the method comprises the following steps of: deploying network construction type equipment in parallel at a main current collection bus side of a new energy station, configuring a direct current self-synchronization control ring on the network construction type equipment, and introducing equivalent inertia and damping characteristics into a direct current side voltage ring; and setting the parameters of the direct current self-synchronization control loop to reduce the short-circuit ratio critical value of the new energy station. The short-circuit ratio critical value of the new energy station is reduced on the premise of not transforming the infrastructure of the power grid side by introducing the network construction type equipment with the direct-current self-synchronization control function and setting the parameters of the network construction type equipment.

The invention discloses a personalized communication training content generation method based on big data. The method comprises the following steps: S1, constructing a multi-modal feature sequence; s2, constructing a user expression brain map; s3, performing cognitive causal alignment on the time axis of the user expression brain map; s4, identifying ambiguous expressions in user input, expanding a plurality of semantic interpretation paths, forming a semantic trajectory tree, and generating a primary semantic path and a secondary semantic path; s5, generating conventional communication content based on the primary semantic path, constructing an evolution expression path based on the secondary semantic path, generating challenging expression content, and integrating and outputting a double-track fusion training corpus; s6, identifying a negative expression fragment in the double-track fusion training corpus, and generating an evolution training sequence based on an annealing control function; and S7, performing content reconstruction on the double-track fusion training corpus based on the evolution training sequence, and generating personalized communication training content. According to the method, multi-modal modeling and a semantic evolution control method are fused, and personalized communication training content generation is realized.

The invention relates to the technical field of green building group intelligent control, and discloses a green building group indoor environment and energy consumption collaborative optimization method and system based on a digital twinborn model. The method comprises the following steps: acquiring original environment data of a building group; constructing a digital twinborn simulation model and outputting predicted environment data; generating a multi-target cooperative control function; generating an HVAC optimization control instruction based on MPC prediction control; executing a power redistribution task; and performing regional mapping to generate a final control instruction. The technical problems that in the prior art, a control strategy is single, equipment response dynamic characteristics are ignored, and especially under the green building group cooperative control condition, global optimization control over energy consumption and the environment cannot be achieved are solved. According to the method, the comprehensive digital twinborn model is constructed, and the multi-target collaborative optimization and distributed power modulation mechanism is combined, so that the dynamic balance control of the environmental comfort and the energy consumption cost in the complex building group is realized.

A device and a method for introducing a drone to an area of interest are presented. The delivery system may include a housing, a drone, either a timer or a receiver, a lock mechanism, and a biasing mechanism. The housing further includes a pair of parts with or without subparts. At least one sensor is attached to the drone. The timer or the receiver is secured to the housing and communicable with the lock mechanism to control function thereof. The lock mechanism is adapted to releasably secure the parts or the subparts. The drone is enclosed within the housing in a CLOSED configuration when the lock mechanism is locked. The biasing mechanism separates the parts or the subparts to an OPEN configuration when the lock mechanism is unlocked. The drone is introducible to the area of interest in the CLOSED configuration and separable from the housing in the OPEN configuration.

The invention provides an HIL test system and method based on an IBC controller and a medium. The system comprises a software platform, a hardware platform, the IBC controller and an IBC actuator. Wherein the software platform comprises a whole vehicle dynamics model, the hardware platform comprises an actuator virtual model, the IBC controller and the IBC actuator are in intrusive hard wire connection through a fault injection board card, and the actuator virtual model is used for simulating the working characteristics of the IBC actuator. Interventional hardwire connection between the IBC controller and the IBC actuator is established through the fault injection board card, and the HIL test system can control functions needing to be tested in a mode of remotely controlling a fault injection mode. Meanwhile, the actuator virtual model can specifically simulate the working characteristics of the IBC actuator, so that the limitation of traditional hardware is eliminated, the whole test method can be completed through a pure model, and the conventional function test requirements can be effectively met.

The invention provides an implementation method and device for a multi-opening-direction turnout control function, and relates to the technical field of rail transit signal control, and the method comprises the steps that an equivalent logic model is configured, and an N-opening-direction physical turnout is equivalent to a cascade structure composed of N-1 two-opening-direction virtual turnouts through the equivalent logic model; collecting physical position representation information of the N-direction physical turnout; based on a preset position state mapping rule, mapping the physical position representation information into a combined position state of all two-opening virtual turnouts in the equivalent logic model; transmitting physical location representation information or a combined location state based on the type of the data receiving end; wherein N is an integer greater than 2. According to the method, the equivalent logic model from the N-opening-direction physical turnout to the N-1 two-opening-direction virtual turnouts is established, strict state mapping and differentiated interface output strategies are combined, and safe and flexible control over the multi-opening-direction turnout under an existing signal system architecture is successfully achieved.

The invention relates to the technical field of tank cover packaging pressure control, and discloses a pressure uniformity control method for a tank cover packaging device, and the method comprises the following steps: arranging a plurality of pressure sensors in a packaging region, and collecting three-dimensional stress data; constructing a stress tensor model based on the collected data, and calculating the average pressure of the main shaft; constructing an optimization control function, and adjusting pressure output by taking stress tensor isotropy as a target; according to an adjusting strategy, stress diffusion in an initial loading stage is guided in combination with the elastic flexible structure layer; applying relaxation loading in an asynchronous microcycle according to the guidance of an optimal control function; and recording a loading history, dynamically updating loading parameters and performing compensation adjustment. According to the invention, by introducing the distribution design of the flexible structure which decreases progressively along the gradient direction, and by naturally diffusing and loading stress, the impact concentration phenomenon of a local loading point is significantly weakened, a stress transition zone in a complex structural member can be effectively organized, and the overall stress uniformity and stability in the packaging process are improved.

The invention relates to the technical field of baking equipment, in particular to a food baking equipment digital twinning driven model prediction control method, which comprises the following steps: constructing a structured variable based on equipment side operation information and food side initial information, the structured variable being used for representing a digital twinning operation state; selecting a food center temperature state, a food overall water content state and a boundary condition of a current period from the structured variables, and sequentially assembling into a state description vector; calculating a constraint tightening coefficient of the state description vector, and calculating a dynamic security constraint based on the constraint tightening coefficient; the target center temperature and the target water content level are introduced, the temperature deviation and the water content deviation of the current period are calculated, the temperature deviation, the water content deviation, the power constraint interval endpoint and the air supply constraint interval endpoint are combined, a control instruction is output through a control function, and the control instruction is written into an execution mechanism setting channel of the food baking equipment.

The invention belongs to the field of exhibition light control, and particularly relates to an exhibition space light environment parameter optimization regulation and control method and system based on illumination perception, and the method comprises the steps: firstly building a three-dimensional model through obtaining exhibition semantic information and spatial constraints, extracting an exhibit light sensitivity level and spatial fluctuation information, and dividing an illumination control region sequence according to the exhibit light sensitivity level and the spatial fluctuation information; fusing the photosensitive damage rate and the importance degree of the exhibit, and determining a dynamic target optical parameter control interval set; the method comprises the following steps: constructing a hierarchical target mapping function of a fusion fit degree, exhibition experience and an energy-saving index, and dynamically setting main and auxiliary control functions in different time periods according to a control index priority factor; and solving the optimal optical parameter set of each time period by adopting an optimization search algorithm, and carrying out inversion to obtain an optical parameter control index. According to the method, self-adaptive balance optimization of the exhibition light environment among multiple targets of cultural relic preventive protection, audience visual experience and system energy-saving efficiency is realized.

The invention relates to the technical field of air conditioners, and particularly discloses an indoor'temperature-humidity-oxygen concentration 'regulation and control unit and a control method. The regulation and control unit comprises an air conditioner indoor unit and an air conditioner outdoor unit which are connected with the oxygen supply pipe through a refrigerant air pipe and a refrigerant liquid pipe respectively, and the indoor unit and the outdoor unit are integrated with a plurality of components. Through specific connection, a temperature, humidity and oxygen concentration regulation and control channel and a total air circulation channel are formed. The control method comprises the following steps: continuously monitoring indoor parameters through the sensor group, comparing target parameters, controlling corresponding parts to start and stop by the control module, and finely regulating according to a threshold value after reaching the standard. The unit integrates the temperature, humidity and oxygen regulation and control functions, adapts to the plateau low-temperature and low-pressure environment, achieves indoor temperature-humidity-oxygen collaborative optimization, improves the environment comfort, and reduces the equipment cost and energy consumption.

An industrial integrated development environment (IDE) supports decoupled development of industrial control programs without requiring the programs to be initially bound to a specific industrial controller. The IDE system allows industrial control programs to be defined as smart objects within an industrial control project. These smart objects can be created without an initial binding to an industrial controller, and can subsequently be assigned to selected industrial controllers after development of the control programs is complete, or while program development is in progress. A smart object can be reused and deployed to multiple industrial controllers, providing a simple means to implement common control functionality on multiple different automation systems. To allow for deployment of smart objects to selected controllers, the IDE system supports creation of a control project having a one-to-many relationship with industrial controllers, such that multiple controllers can be defined within a single project.

The invention discloses an automatic test-oriented communication protocol and sequential logic cooperative control system, and relates to the technical field of nuclear field instrument and control system test, and the system comprises a 7-slot computer cage, a controller, a function card, a dual-path full duplex communication link, and a power supply monitoring module. The controller is fixed at the slot 0 of the 7-slot cage, and the function card is inserted in the slot 1 to the slot 6 in a mixed manner. And the controller is connected with each function card through a double-path full duplex communication link, is linked with the power supply monitoring module through a GPIO (General Purpose Input / Output) signal so as to monitor and control the power supply of the function card, and is also connected with the HMI through a gigabit Ethernet. The controller receives a test case of the HMI based on a first preset communication protocol, generates a test instruction, packages the test instruction into a control frame through a second preset communication protocol, issues the control frame according to three time sequence regulation and control modes, receives the state and test data returned by the function card, and intervenes the abnormal function card through the power supply monitoring module. And the function card analyzes the instruction, executes a test, collects and returns data, and reports the operation state at the same time.

The invention discloses an intelligent exoskeleton bone auxiliary conduction hearing aid system capable of being remotely controlled and having an electroencephalogram control function, and relates to the technical field of intelligent rehabilitation robots and hearing aid devices. The wearable mechanical part comprises a flexible actuator, an elastic fabric base material, an inertial measurement unit IMU, a plantar pressure sensor array, a surface myoelectricity EMG sensor and an electroencephalogram EEG sensor. And the information processing communication part comprises a central controller, a bone conduction hearing aid module, a multi-mode sensor, an embedded SoC, a DSP / AI accelerator, a 4G / 5G / Wi-Fi module and a power management unit. The flexible exoskeleton walking aid system and the bone conduction hearing aid module are integrated, the electroencephalogram EEG sensor is additionally arranged to achieve the electroencephalogram control function, and cooperation of the three functions of movement assistance, auditory perception and neural intention recognition is achieved. A user can directly control the exoskeleton action mode through electroencephalogram signals, meanwhile, intelligent assistance of lower limb joints is obtained in the walking process, and environment sounds and voice prompts are clearly received in a bone conduction mode. According to the system, the perception ability, the control flexibility and the social participation degree of old people or rehabilitation patients who are inconvenient to move and accompanied with hearing impairment in a complex environment are remarkably improved, and more natural and convenient man-machine interaction experience is provided for users.

A magnetic-inductive flow measurement device includes: a device for generating a magnetic field, including a first coil and a second coil; a device for tapping a measurement voltage induced in a flowable medium; an operating circuit configured to apply a first operating signal to the first coil and separately a second operating signal to the second coil, wherein a first voltage over a first time subinterval is applied to the coils, and coil currents of different measurement intervals of the first operating signal are changeable variables; and a control circuit configured to control at least the first voltage of the first operating signal such that a deviation of a control function from a predefined control target value, which includes a variable proportional to a magnetic flux, is minimized.

A computer system detects a first input that includes first movement relative to a first user interface, and in response, displays a control user interface, including: in accordance with a determination that the first movement meets first criteria, wherein the first criteria require that the first movement meets a first input threshold, displaying, after detecting an end of the first input, the first set of two or more controls that corresponds to the first set of two or more control functions of the computer system; and in accordance with a determination that the first movement meets the second criteria, wherein the second criteria require that the first movement meets a second input threshold that is greater than the first input threshold, displaying, after detecting the end of the first input, the second set of two or more controls that corresponds to a second set of two or more control functions.

An optical system (200) of a lithography system (1) for condition monitoring of the optical system (200, 300), comprising a first module (202, 210) with a first module control device (204), wherein the first module (202, 210) is monitorable based on at least one first system observable; a second module (206, 210) with a second module control device (208), wherein the second module (206, 210) is monitorable based on at least one second system observable; and a system control unit (216) configured to perform at least one control function for the optical system (200) and / or the lithography system (1) based on a first error code (214), and to receive condition monitoring information (218) from the first and / or second module (202, 206, 210), and to generate a second error code (220) based on the condition monitoring information (218) from the first and / or second module (202, 206, 210), which provides system condition monitoring in comparison to the first error code (214).

The invention discloses a linkage type high-pressure spraying and dust falling intelligent control method and system based on a microcontroller, and relates to the technical field of industrial environment safety control. Environment related data and equipment operation data in the demolding process are collected in real time, a standardized data set H is constructed, the mold overturning state is analyzed according to the standardized data set H, and the intelligent control method and system for linkage type high-pressure spraying and dust falling are achieved. The method comprises the following steps: identifying a demolding action, evaluating a thermal disturbance state, analyzing a dust diffusion trend when thermal disturbance is critical, extracting a dust diffusion trend index Vf, setting a risk threshold by combining historical data, and when dust is in an abnormal state, constructing a spray control function based on a temperature disturbance index Hd and the dust diffusion state, and dynamically generating target spray pressure. And the high-pressure spraying system is driven to respond to realize accurate and efficient linkage spraying dust fall control, so that the spraying behavior is matched with the dust diffusion state, the dust suppression failure caused by delayed spraying is avoided, and the energy waste caused by invalid spraying is reduced.

The invention discloses a hardware circuit for realizing limp control of a steering lamp function, and belongs to the technical field of automobile body control modules. According to the method, when the main control module of the BCM fails, the steering lamp limping control function is automatically started through a hardware circuit, it is ensured that the flickering function of the steering lamp or the danger warning lamp can still be achieved under the condition that the main control module of the vehicle fails, and the driving safety is improved. The hardware circuit comprises a main control module, an LIMPHOME logic judgment circuit, a relaxation oscillator circuit, a high-side driving circuit, a steering lamp switch and a steering lamp. The LIMPHOME logic judgment circuit detects a PWM output signal of the main control module through the capacitor charging and discharging circuit and judges whether the main control module works normally or not; when the master control module fails, the relaxation oscillator circuit generates a PWM control signal based on the turn light switch signal and the LIMPHOME logic output; and the high-side driving circuit drives the steering lamp to flicker according to the PWM signal. The method is realized through pure hardware, is low in cost, quick in response and high in reliability, and is suitable for various vehicle BCM systems.