1414 results about "Gate control" patented technology

Disclosed herein is a single photon avalanche diode (SPAD) pixel circuit, including a SPAD having an anode coupled to a negative voltage and a cathode and a cascode transistor having a drain coupled to the cathode of the SPAD, a gate controlled by a cascode control signal, and a source. A readout circuit is coupled to the source of the cascode transistor and configured to detect a voltage change at the source of the cascode transistor and generate a pulse indicating an occurrence of an avalanche event. An active quenching circuit is coupled to the cathode of the SPAD and configured to detect an onset of the avalanche event and pull the cathode of the SPAD to a negative voltage to quench the avalanche event.

A method of driving a transistor between switching states includes controlling a transition of a gate voltage at a gate terminal of a transistor during each of a plurality of turn-off switching events to turn off the transistor, wherein the transistor is configured to be turned off according to a desaturation time during each of the plurality of turn-off switching events; measuring a transistor parameter indicative of a voltage slew rate of the transistor for a first turn-off switching event during which the transistor is transitioned from an on state to an off state; and regulating a duration of the desaturation time for a next turn-off switching event based on the measured transistor parameter.

The invention relates to the technical field of water conservancy control, and discloses a water conservancy project cofferdam gate control system based on a PLC, and the system comprises a hydraulic drive and detection assembly and a controller. A discrete state observation module, a disturbance characteristic identification module, a virtual axis parameter scheduling module and a control law synthesis module are configured in the controller. The discrete state observation module reconstructs a system state and estimates total disturbance; the disturbance characteristic identification module judges normal, jamming or turbulent working conditions according to the disturbance characteristics; the virtual axis parameter scheduling module adjusts the virtual stiffness and the damping coefficient in real time according to the working condition, or executes an asymmetric auxiliary escape strategy; the control law synthesis module combines state feedback and feed-forward compensation to generate a control voltage. Through multi-modal parameter scheduling, water flow impact and non-linear friction interference are effectively overcome, decoupling under the turbulent working condition and flexible protection and auxiliary escape under the jamming working condition are achieved, and the synchronization precision and safety of gate control are improved.

The invention discloses a Yellow River water conservancy project real-time monitoring system based on edge computing, and particularly relates to the technical field of cloud computing. The system constructs a flow state characteristic interval by collecting water and sediment data; loading an algorithm component based on flow state characteristics, and changing a master control pointer by using atomization operation to realize calculation power logic hot switching; analyzing a difference value between the instantaneous torque of the motor and the no-load reference to obtain a sediment deposition resistance torque; mapping the resistance moment to a digital shadow table to extract a gain compensation parameter; and resetting controller parameters and modulating the pulse width signal according to the compensation coefficient, and outputting a driving voltage to control the gate. Through the edge end algorithm hot switching technology, the problems that a traditional system is difficult to adapt to the variable water and sediment working conditions of the Yellow River and logic updating shutdown are solved, and monitoring continuity is guaranteed. The defect of power mismatching of a single driving mode is overcome, motor overload and mechanical jamming are prevented, gate control accuracy and operation stability are greatly improved, and the service life of equipment is greatly prolonged.

The invention discloses an OEO amplifier with a high-speed hard switching function and an optical transmission system, and relates to the technical field of optical amplifiers, the OEO amplifier comprises three magneto-optical switches, an optical splitter group, a photoelectric detector group, a real-time comparison circuit, a logic gate control circuit and a driving circuit; the photoelectric detector group collects optical signal power to generate an electric signal; the real-time comparison circuit performs voltage threshold judgment on the electric signal; the logic gate control circuit is connected with the output end of the real-time comparison circuit so as to synchronously control the switching states of the three magneto-optical switches according to a voltage threshold judgment result; the driving circuit is used for driving the magneto-optical switch to synchronously execute a switching action; when the OEO amplifier detects that optical signals in any direction are interrupted, all the magneto-optical switches finish synchronous switching within 100 microseconds, and the end-to-end optical signal switching time difference is smaller than 2 picoseconds. The method is suitable for a single-fiber bidirectional optical communication environment requiring high frequency, high precision and high stability.

The invention discloses a multi-branch industrial ventilation intelligent regulation and control system and method based on a PLC. According to the system, a closed-loop control network is formed by an infrared sensor, a wind speed sensor, a PLC (Programmable Logic Controller), an air door control cabinet, an electric valve, a frequency converter, a frequency conversion fan and an upper computer. The infrared sensor is responsible for monitoring the running state of each production line in real time. The wind speed sensor is used for detecting the wind speed in the wind pipe and verifying wind quantity balance. The PLC processes all sensor data and outputs a control instruction. On one hand, the opening degree of the electric valve is adjusted through the air door control cabinet, and on the other hand, the rotating speed of the fan is adjusted in real time through the frequency converter. The upper computer is used for system parameter monitoring, threshold setting and data interaction with the manufacturing execution system. According to the system, on-demand adjustment of multi-branch ventilation is achieved through intelligent closed-loop control, the problem of response lag of a traditional control mode is effectively solved, the dust removal efficiency and the energy utilization rate are remarkably improved, and safe and efficient operation of the industrial environment is guaranteed.

The invention relates to the technical field of automobile safety, and provides an electric tail gate anti-pinch control method and system, which introduces a prediction + self-adaption intelligent decision normal form, on one hand, the motion information of a tail gate is obtained, and the time sequence data of an obstacle is combined to be input into an LSTM model to predict the track of the obstacle; a collision prediction conclusion is output to be matched with a graded speed reduction strategy to execute tail gate control, and through prediction in advance, the system response efficiency is effectively improved, and the clamping damage probability is reduced; and on the other hand, when a contact signal of the tail gate is detected, real-time contact force and real-time vehicle working condition information are obtained in real time, a dynamic anti-pinch threshold value is calculated and compared with the real-time contact force for analysis so as to execute tail gate control, the dynamic anti-pinch threshold value is dynamically adjusted according to the vehicle working condition and the tail gate state, scene adaptation is carried out, the anti-pinch recognition accuracy can be improved, and the safety of the vehicle is improved. The false triggering probability is reduced; therefore, the electric tail gate anti-pinch system which is faster in response, more intelligent and more reliable is obtained.

The invention discloses a hydraulic intelligent balance regulation and control method and platform for multiple systems of a heat exchange station, and relates to the technical field of hydraulic balance of central heating systems, and the method comprises the steps: obtaining the real-time operation data of multiple heating systems of the heat exchange station, calculating the heat consumption data of a unit area, analyzing the hydraulic unbalance, and obtaining a hydraulic supply state parameter set; temperature change parameters of the heat exchange station are monitored, and a climate compensation adjustment curve is constructed in combination with hydraulic unbalance indexes; collaboratively optimizing the two to generate a multi-system valve control instruction set; adjusting and monitoring according to the instruction set and then feeding back and backtracking, and constructing a hydraulic balance regulation and control strategy to realize intelligent control. The technical problems that due to the fact that regulation and control of the multiple heat supply systems of the heat exchange station are lack of pertinence and collaboration and inaccurate in state judgment, heat supply is uneven and energy consumption is too high are solved, and the technical effects that the operation states of the multiple systems of the heat exchange station are precisely controlled and cooperatively adjusted, heat supply balance is improved, and overall energy consumption is reduced are achieved.

The invention relates to the technical field of bag-type dust removers, and particularly discloses a bag-type dust remover control terminal with a protection structure, which comprises a control box, the front surface of the control box is provided with a double door, and the control box is internally provided with a plurality of mounting plates through a plurality of arranged quick disassembly and assembly mechanisms; and protection mechanisms and cleaning mechanisms are arranged on the front faces of the multiple mounting plates correspondingly, and an auxiliary disassembly and assembly mechanism is arranged on the inner top face of the control box. According to the device, the protection mechanism is arranged around the control module, when the control module is on fire, the protection cover in an unfolded state can shield and protect the control module on which the fire is on fire, and when flames generated by the control module are large, the inner wall of the protection cover can be burnt through, so that dry powder in the protection cover is rapidly discharged outwards, and the safety of the device is improved. And the fire phenomenon of the control module is rapidly extinguished, so that the loss and negative influence caused by the fire in the control box are reduced, and the use requirements of people on the high protection performance of the control terminal equipment are met.

The invention relates to a system for controlling access to a restricted-access area in a building, which system has a sliding door system and a controller for the sliding door system. The sliding door system has a door frame and a sliding door which can be moved in the door frame between a closed position and an open position by a drive unit. The door frame has a passage region and a wall shell region which at least partially accommodates the sliding door in the open position. A controller is arranged on the sliding door and is communicatively connected to the drive device. The controller is designed to control a movement of the sliding door between the closed position and an open position. An activation device is arranged in an interior of the sliding door and is communicatively connected to the controller. The activation device is designed to generate an activation signal (AS) when a user who wishes to leave the restricted-access zone approaches the sliding door within a specified distance. The controller is designed to cause the sliding door to move from the closed position to the open position when an activation signal (AS) is present.

The invention discloses an energy-saving control system for dust removal equipment. The energy-saving control system comprises production equipment, a suction pipe net, an air door assembly, an air door control module, an air pressure detection device, a suction device and a main control module. The production equipment is provided with a machining area and a workpiece detection module. The suction pipe net is composed of a main pipeline and branch pipelines, and the branch pipelines correspond to all devices and are provided with air door assemblies. The air door control module opens and closes an air door according to the workpiece detection signal; the air pressure detection device monitors the air pressure of the main pipeline, the main control module adjusts the power of the suction device accordingly, and the system achieves on-demand dust removal, accuracy, high efficiency and remarkable energy conservation.

The invention discloses a data processing method applied to digital twinborn hydraulic engineering, and relates to the technical field of hydraulic engineering, the decision reliability of the digital twinborn hydraulic engineering in a rainstorm scene is significantly improved through algorithm architecture reconstruction, a two-channel cooperation mechanism deeply couples water level time sequence monitoring and rainfall space analysis, and the accuracy of data processing is improved. A graph convolutional network is used for extracting drainage basin level rainfall thermodynamic diagram features, self-attention dynamic noise filtering is combined, space-time alignment of meteorological data and ground sensing is achieved, false alarms caused by equipment interference or data asynchronization are restrained from the source, it is ensured that an early warning instruction is only triggered under the real flood situation condition, and the early warning efficiency is improved. The edge intelligent closed-loop decision breaks through the cloud dependence bottleneck, the lightweight model locally generates a scheduling strategy at a gate station node, the reinforcement learning driven gate control takes the water level deviation as an optimization target, and the loss of frequent actions on equipment is synchronously constrained, so that the flood discharge response is changed from passive rule execution to active risk stabilization.

The invention relates to the technical field of wireless communication signal big data analysis, and discloses a LoRa unmanned aerial vehicle communication signal-oriented identification and analysis method, which comprises the steps of obtaining radio signal discrete data in a monitoring area, executing short-time Fourier transform to generate a time-frequency two-dimensional spectrogram, and identifying and intercepting a LoRa signal noisy IQ time sequence by using a convolutional neural network; mapping the sequence into a high-dimensional feature tensor, inputting the high-dimensional feature tensor into a slope statistical attention generative adversarial network, calculating a first-order differential tensor by using a generator, carrying out kernel convolution on the first-order differential tensor and preset linearity statistics to generate an attention mask, and reconstructing a de-noised IQ time sequence by using a bidirectional long-short-term memory network after Hadamard product gating; according to the method, the tensor gating operator based on the physical statistical law is embedded in the neural network, so that the common problem that physical semantic drift is easily generated by a generative model at an extremely low signal-to-noise ratio is solved.

The invention discloses a numerical simulation method, system, equipment and medium for the complete closing process of a ball valve, and belongs to the technical field of valve control. The method comprises the steps that a geometric model of a ball valve pipeline is established, and pressure and speed monitoring points are arranged; carrying out particle discretization and relaxation on the valve pipeline geometric model through a meshless particle method discrete modeling technology; setting pressure inlet and outlet boundary conditions, and controlling a valve core to rotate so as to simulate the complete closing process of the valve from full opening to full closing; solving a transient closing process, and obtaining a pipeline velocity field and a pressure field under different opening degrees; the change rule of the inlet and outlet pressure difference, the flow coefficient and the flow resistance coefficient along with the opening degree is analyzed, and transient simulation of the ball valve closing process is achieved. According to the method, the problems of grid distortion and numerical instability are avoided through the meshless particle method, high-precision simulation of the complete closing process of the ball valve is achieved, the flow evolution mechanism in the closing process of the valve is revealed, and a theoretical basis is provided for analyzing the flow characteristics of the valve under the small opening degree.

According to the heterogeneous memory management system and method oriented to the sparse hybrid expert model, the medium, the program product and the terminal provided by the invention, the interference of cold data on hot data access delay is eliminated by constructing a double-Bank physical isolation architecture in the physical heterogeneous storage module, so that the bandwidth contention of the cold and hot data is avoided; the cold storage unit adopts a low-power-consumption memory and supports a sleep mode, so that near-zero-power-consumption storage of cold data is realized; in the semantic prefetching unit, the prefetching hit rate is increased to 89% by adopting a cosine similarity matching method, so that a dynamic data migration mechanism with a high hit rate is constructed; and the gating collaborative migration engine triggers data migration, and the calculation continuity of the calculation module is guaranteed through DMA control.

The present invention relates to a quantum computer comprising NV centers in diamond as quantum bits, nuclear spins of nuclei strongly coupled to the NV centers, strongly constrained by these NV centers, as nuclear quantum bits (hereinafter referred to as strong nuclear quantum bits), and nuclear spins, weakly constrained by these NV centers, of nuclei weakly coupled to the NV centers as nuclear qubits (hereinafter referred to as weak nuclear qubits). The resonance energy for coupling the weakly coupled nuclear spins of the nuclei weakly coupled to the respective NV centers depends only weakly on the respective spin state of the electron configuration of the NV centers weakly coupled to that nuclear spin. The control mode of the quantum computer on nuclear spin under weak constraint of the NV center is different from the control mode of the quantum computer on nuclear spin under strong constraint of the NV center. To this end, the quantum computer preferably has a kernel qubit database that stores information about whether the kernel qubits are strongly coupled or weakly coupled.

The invention provides a pneumatic driving part and a pneumatic valve, and relates to the technical field of valve control. The pneumatic driving piece comprises a front cover, a rear cover, a cavity and a piston piece; the first end of the cavity is connected with the front cover, the second end of the cavity is connected with the rear cover, the piston piece is arranged in the cavity, and the cavity is divided into a first inner cavity corresponding to the front cover and a second inner cavity corresponding to the rear cover based on a piston head of the piston piece; the piston piece is used for moving based on the pressure difference between the first inner cavity and the second inner cavity; the front cover is provided with a first one-way sealing piece, and the first one-way sealing piece is used for buffering the moving tail end, moving in the first direction, of the piston piece. The rear cover is provided with a second one-way sealing piece, and the second one-way sealing piece is used for buffering the moving tail end, moving in the second direction, of the piston piece. The first direction is the direction from the rear cover to the front cover, and the second direction is the direction from the front cover to the rear cover. And the movement tail ends of the piston piece in different directions can be buffered, and impact caused by inertia is effectively reduced.

The embodiment of the invention provides a display screen and electronic equipment, and belongs to the technical field of electronic equipment, a display panel of the display screen comprises gate control lines and a plurality of pixel groups distributed in sequence, and the gate control lines are connected with pixel units in the pixel groups through gate drive circuits respectively. A grid control signal transmitted by the grid control line can be transmitted to the grid driving circuit, so that the pixel units in the pixel group are driven and controlled line by line to emit light and extinguish light. The first end and the second end of the grid control line are respectively connected with the power supply chip, and a grid control signal of the power supply chip is respectively introduced into the grid control line from the first end and the second end, so that the grid control signal is introduced and pushed from two opposite ends of the grid control line, and voltage attenuation and resistance-capacitance delay of grid control signal transmission are reduced. The driving capability is improved, the driving effect on multiple pixel groups is improved, and the display effect and the display uniformity of the display panel are improved.

The invention provides an intelligent gate control method based on deep reinforcement learning, and relates to the technical field of hydraulic engineering, and the method comprises the steps: obtaining the operation state information of a gate control system at the current moment, carrying out the preprocessing, obtaining a system state vector, inputting a deep network control model, and obtaining a state action value function value through calculation; selecting a target gate control action based on the state action value function value to obtain a gate opening value, and updating the state of the gate control system by using a hydraulic physical model to obtain a state transition sample; using the state transition sample to train and update the deep network control model to obtain a trained deep network control model; and analyzing the system state vector at the next moment by using the trained deep network control model to obtain an optimal gate control action. The problem that in the prior art, it is difficult to autonomously learn a control strategy and improve the water level control precision in a complex, dynamic and uncertain environment is solved.

The elevator control system can not only detect wheelchair users, but also more accurately detect wheelchair-equivalent users, including wheelchair users, thus improving convenience. The elevator control system has an operation control unit (21), an acceleration sensor (22), and an information processing unit (23). The operation control unit (21) has a main control device (5) and a door controller (13). The acceleration sensor (22) is installed in the car compartment (11). The acceleration sensor (22) detects the acceleration of the car compartment (11) relative to the car frame (10) and sends an acceleration detection signal. The information processing unit (23) receives the acceleration detection signal from the acceleration sensor (22) and processes it. Thus, the information processing unit (23) determines whether there is a wheelchair-equivalent user among at least one user moving between the landing and the car compartment (11).

The invention provides a coal mine underground air door intelligent control method and system based on direct connection communication, and the method comprises the steps: when the number of a vehicle passing through an air door is single and the distance between the vehicle and the air door meets a first condition, the vehicle passes through the air door; a first message is sent to a direct connection communication roadway side device installed on a roadway side through a direct connection communication terminal device installed on a vehicle, wherein the first message comprises vehicle position information, speed information and passing request information containing a vehicle encrypted digital signature; the direct connection communication lane side equipment receives the first message, verifies the legality of the vehicle encrypted digital signature, and sends the vehicle position information and speed information passing verification to an air door controller; and generating an air door control strategy based on the vehicle position information and the speed information, and controlling an air door to execute opening or closing action based on the air door control strategy. According to the technical scheme, the control efficiency and accuracy are improved, and meanwhile automatic air door closing can be achieved in the dangerous case.

The invention discloses a bimodal identity authentication method based on voice and ultrasonic signals. The method comprises the following steps: transmitting an orthogonal frequency division multiplexing modulated ultrasonic wave by using a built-in loudspeaker of equipment, and synchronously acquiring a mixed signal containing voice and ultrasonic reflection; after separation, converting the speech signal into a speech spectrogram, and carrying out vocal organ positioning, segmented de-trending and multi-scale spectrogram conversion on the ultrasonic signal to extract anti-interference pronunciation action features; the method comprises the following steps: respectively extracting depth features of voice and ultrasound through a double-flow neural network, and carrying out dynamic weighted fusion according to signal quality by adopting a quality sensing channel gating fusion module to generate an identity embedding vector irrelevant to speaking content; in the registration stage, a speaker template is constructed, and a personalized threshold value is calculated; and in the authentication stage, identity judgment is realized through cosine similarity comparison. According to the method, the robustness of the system in a noise environment and the defense capability of the system on spoofing attacks such as playback and synthesis are remarkably improved by fusing the voice content and the ultrasonic living body action characteristics.

To improve responsiveness while reducing the effect of noise, a valve control method for controlling a valve of a fluid control device includes generating a target response function converted from the flow rate setting using a target response transfer function; generating a target voltage function by making a correction in nonlinearity of a drive voltage for the valve and a flow rate, with respect to the target response function; generating a feedforward voltage signal from the target voltage function by making a correction corresponding to the delay characteristic of the valve; causing a feedback controller to generate a feedback voltage signal from a deviation between the target response function and a flow rate measurement of a flow rate sensor; generating a corrected command voltage signal using a feedforward voltage signal and the feedback voltage signal; and controlling the valve using the corrected command voltage signal.

The invention relates to the technical field of water conservancy project automation control, and discloses a self-adaptive coordinated regulation gate control method and system and a storage medium. The method comprises the following steps: acquiring gate node real-time instruction data and performing time synchronization calibration to generate an initial instruction sequence; instruction features are extracted and classified based on the sequence, and an instruction sorting list is obtained; when the emergency instruction proportion exceeds a threshold value, the emergency instruction is separated, an exclusive channel is distributed, an accelerated propagation path is generated, and an optimized transmission path is determined through path delay evaluation; selecting a path with the lowest delay from the optimized paths to perform emergency instruction distribution, and acquiring a feedback signal; verifying the feedback signal and recording a response speed index, and determining the adjusted transmission configuration based on the index; the configuration is utilized to synchronize and integrate the conventional instructions to the main propagation sequence to generate a complete regulation and control instruction set. According to the method, the multi-node instruction time sequence consistency and the emergency response capability are improved, the transmission conflict is reduced, and the cooperative regulation and control efficiency is improved.

The invention discloses a soft measurement method and device based on a gating stack type auto-encoder, which are used for dynamically controlling the feature extraction capability of the auto-encoder through a gating mechanism from the perspective of optimal prediction estimation quality data, thereby improving the generalization capability and prediction precision of a soft measurement model. The soft measurement method disclosed by the invention is characterized in that a gate control stack type auto-encoder is used for extracting the characteristics of optimal prediction quality data through a gate control mechanism. The invention also discloses a plurality of improved schemes related to the structure of the gated stack type auto-encoder, relates to a newly added residual estimation unit, an improved conversion mode of the encoding unit and the gated unit and the like, and aims to utilize more and more comprehensive information to learn and represent each weight in the gated quantity, so that the soft measurement precision is improved. In addition, the invention further discloses a soft measurement device which comprises a central control module, a data acquisition module, a display module and a storage medium so as to execute the implementation process of the soft measurement method disclosed by the invention.

The invention discloses an intelligent parking system and a vehicle parking management method, and relates to the technical field of intelligent traffic and Internet of Things, and the method comprises the steps: S1, collecting vehicle position signals and vehicle image features, and carrying out the data fusion, and obtaining the real-time coordinates of a vehicle with direction information; s2, constructing a continuous track chain based on the real-time coordinates of the vehicle, and recognizing abnormal behaviors of the vehicle based on a preset track feature threshold value; and S3, generating and executing a corresponding barrier gate control instruction according to the abnormal behavior of the vehicle. According to the method, geomagnetism and video sensing data are fused in a dynamic self-adaptive mode, a vehicle continuous track chain is constructed, abnormal behaviors such as vehicle retention and turning around can be accurately recognized, real-time linkage with barrier gate control is achieved, and therefore the vehicle smashing prevention safety, the accuracy of illegal behavior recognition and the real-time performance of system response are effectively improved.

The application discloses a gallium oxide stacked full-surrounding gate field effect transistor and a preparation method thereof, and belongs to the field of semiconductor devices. The transistor mainly solves the problems of weak gate control ability, low on-off ratio and large threshold swing of the current gallium oxide MOS device. The transistor comprises, from bottom to top, an insulating substrate, a gallium oxide channel layer, a two-dimensional material dielectric layer and a gate surrounding the gallium oxide channel, an insulating layer and a repeated stacking structure above. The gate surrounding the channel is realized in the form of a peeled film, solving the problem of difficult process realization of the GAA structure. The four-side contact of the gate brings good channel control ability to the device. The application improves the on-off ratio of the device and can be used for manufacturing a gallium oxide MOSFET device with high switching characteristics.

The invention relates to the technical field of trailing suction dredger control, in particular to a trailing suction dredger mud door multi-level intelligent control method and system.The method comprises the steps that real-time working condition data of a trailing suction dredger and historical operation data of each mud door are obtained firstly, then the multiple mud doors are grouped according to the working capacity represented by the historical operation data, and the grouped mud doors are divided into multiple groups according to the working capacity represented by the historical operation data; and then according to the real-time working condition data, multi-stage control is carried out on the mud door. According to the method, mud doors are scientifically grouped based on comprehensive analysis of real-time working condition data and historical operation data, rapid response to tidal changes is ensured through a first-stage control scheme, the refinement degree of backfill deposition control is improved through a second-stage control scheme, and the opening degree of each mud door is dynamically optimized according to operation feedback through a third-stage control scheme. Through the multi-level control logic of grouping cooperation, grading adjustment and dynamic correction, the problems that in the prior art, drag suction hopper dredger hopper door control cannot flexibly respond according to the actual situation, and consequently the operation quality and efficiency are insufficient are solved.

The invention discloses a multi-mode physiological signal intelligent fatigue detection system and method, and belongs to the technical field of artificial intelligence and computer application. Multi-modal physiological signals are acquired through a signal acquisition module, and after preprocessing and feature extraction, the multi-modal physiological signals are respectively input into a GRU time sequence feature extraction module, a neural network static classification module and an SOC energy analysis module; a dynamic gating fusion module is innovatively introduced, the fusion weight of the three modules is adaptively adjusted according to the real-time signal quality and the energy state, and finally the fatigue level is output and an alarm is triggered. The technical problems that an existing multi-modal fusion method is fixed in weight, lacks interpretability and is poor in robustness in a complex environment are solved, high-precision and high-reliability fatigue state recognition is achieved, and the method is suitable for various application scenes such as driving safety and industrial monitoring.

According to the carrier system and the partition door control method, a first communication part is arranged on the upstream of a partition door, a second communication part is arranged on a carrier, and when the carrier moves to the position where the first communication part and the second communication part can communicate, the carrier actively initiates a passing request; the control system controls the partition door to be opened when receiving the passing request, the control system sends a feedback instruction of allowing passing to the carrier sending the passing request after determining that the partition door is opened, the passing safety of the carrier can be ensured, and meanwhile after the feedback instruction of allowing passing is sent every time, the control system controls the partition door to be opened. The control system determines whether a new passing request is received or not during the period when the carrying vehicles move to pass through the partition door, and if yes, the partition door is kept open, so that the multiple continuous carrying vehicles can quickly pass through the partition door, the opening and closing frequency of the partition door is reduced, and the passing efficiency is improved.