273 results about "STM32" patented technology

The invention discloses a portable indoor environment detector based on STM32. The portable indoor environment detector comprises a hardware module and a software module, the hardware module comprises a main control module, a sensor module and a display module; the software module comprises a communication module and a client control module; the sensor and gas molecules are subjected to physical and chemical reaction to generate electric signal change, and electric signals with different amplitudes are generated according to different concentrations and transmitted to the main control module; the main control module obtains a target gas concentration value through an analog-to-digital conversion function and through preprocessing and mode recognition of the electric signal, and transmits the target gas concentration value to the display module and the client control module through the communication module; and after receiving the target concentration value, the client control module transmits the target concentration value to the Ali cloud platform, displays data and a real-time curve on a Web visual interface for a user to check, and can control the start and stop of a gas detection function at the same time. According to the invention, high-precision detection of a plurality of common harmful gases is realized, and the rapid response capability is realized.

The invention discloses a residual capacity balance control method and system for an aged lithium battery, and relates to the technical field of new energy materials and devices, and the method comprises the steps: inputting quantum magnetic field response data and infrasonic wave signals into a single-chip microcomputer, carrying out the wavelet noise reduction and histogram equalization processing based on an STM32 single-chip microcomputer, and generating an acoustic-magnetic coupling feature matrix; inputting a dynamic pheromone equalization model based on the acoustic-magnetic coupling characteristic matrix, calculating a capacity difference coupling coefficient between the battery packs through an ant colony optimization algorithm, and generating a capacity redistribution path topological graph; according to the capacity redistribution path topological graph, the energy transfer direction is controlled through a bidirectional Buck-Boost circuit, and an equalizing current threshold value is dynamically adjusted based on the quantum spin resonance magnetic field gradient; according to the invention, the quantum magnetic field response data of the aged lithium battery pack and the infrasonic wave signal generated by electrolyte decomposition are collected, so that the physical and chemical states in the battery are accurately monitored.

The invention provides a multi-channel adaptive communication controller based on an STM32 platform. The multi-channel adaptive communication controller comprises a user interaction module, a topology sensing module, a subnet division module, a channel sensing module, a route generation module, a data forwarding module and a working state monitoring module. The user interaction module is used for realizing interaction between a user and the communication controller; the topology sensing module is used for sensing the topology structure of a network where the communication controller is located in real time; if the communication controller automatically divides the subnets, the subnet dividing module divides the subnets according to the topological structure of the network acquired by the topology sensing module; the channel sensing module is used for monitoring the communication quality of a channel currently used by a network in real time; the data forwarding module is used for realizing a routing forwarding function; the working state monitoring module is used for monitoring the working state of the communication controller. Based on the topology sensing function, when the network topology changes, the routing can be adjusted in time, network delay and network congestion are avoided, meanwhile, a basis is provided for subnet division, and the workload of subnet configuration of a user is relieved.

The invention discloses a security unmanned aerial vehicle system based on STM32, and relates to the technical field of security unmanned aerial vehicles. The strategic value of the unmanned aerial vehicle in the public safety field is verified, the technical iteration and application deepening of the unmanned aerial vehicle can continuously promote the modernization of social governance, and the novel 7 * 24-hour all-weather security unmanned aerial vehicle system is provided for solving the problems that an existing unmanned aerial vehicle is poor in endurance, single in application scene, low in working efficiency and the like. The problem of endurance is solved by adopting a new technology and a new thought, and the system has the advantages of low cost, low power consumption, high efficiency, energy conservation, environmental protection and the like; the YOLOv5 algorithm and the ArcFace algorithm can form complementation in function, complete more complex tasks together, and realize more efficient and accurate face recognition and pedestrian analysis; the Hungary tracking algorithm and the Kalman filter are combined and used, so that multi-target tracking can be effectively realized, and the tracking accuracy and reliability are improved.

The invention discloses a semiconductor laser double-layer temperature control system, which is characterized in that firstly, digital PID temperature control is carried out on an external heat sink of a laser, the set voltage of an outer thermistor and an outer slide rheostat is converted by an ADC conversion circuit and then is sent to an STM32, and control information is sent to a DAC conversion circuit after digital PID operation; and the DAC conversion circuit outputs a control signal to a CTLI pin of the MAX1978 after analog-to-digital conversion, and generates a driving current to control an outer TEC, thereby realizing coarse stabilization of the external temperature of the laser. The inner layer adopts a simulation PID control mode, an inner layer MAX1978 chip reads voltage values of a thermistor and a slide rheostat in the laser and then carries out simulation PID network operation, current is output to drive a TEC in the laser, and therefore high-stability temperature control of the laser is achieved.

The embodiment of the invention provides a fan online vibration monitoring and fault diagnosis method and system, and belongs to the technical field of fan monitoring. Comprising the following steps: acquiring vibration data of fan operation within a period of time and performing noise reduction processing; windowing and framing are carried out on the vibration data after noise reduction processing, vibration data features are extracted, a training data set is obtained, and a fan vibration fault diagnosis model is constructed and trained. A trained fan vibration fault diagnosis model is deployed in an STM32 chip of an intelligent diagnosis terminal through STM32CUBEMAX software, and terminal edge calculation and real-time fault diagnosis functions are realized. The fan online vibration monitoring system can perform real-time vibration monitoring on the fan, perform online processing and diagnosis on vibration data, and transmit an analysis and diagnosis result to a background in real time, so that a vibration fault and fault early warning of the fan can be found in time, operation and maintenance personnel can conveniently retrieve the vibration analysis result at any time, and the operation and maintenance efficiency is improved. And the vibration state of the fan is compared and analyzed in real time, and the potential fault hidden danger of the fan is found in time.

The invention discloses a robot environment sensing and positioning system based on an ROS. Effective data of multiple sensors can be efficiently processed, and the timestamps are unified for data fusion. According to the invention, an NUC11 industrial personal computer receives sensor data of an inertial sensor, a laser radar and an industrial camera and transmits the sensor data to a corresponding algorithm module for processing; a grid map is established after the surrounding environment is sensed; the speed and the direction are sent to the STM32 single-chip microcomputer through serial port communication, the STM32 single-chip microcomputer calculates the speed and the direction and then converts the speed and the direction into current values, current value data are sent to the motor through CAN communication, the Mecanum wheels are driven to move in all directions, and the navigation robot capable of achieving self-positioning and omni-directional movement is achieved. According to the omni-directional moving efficient wheeled robot, Mecanum wheels are innovatively combined to achieve omni-directional moving, a universal positioning and navigation robot chassis frame system is constructed, and the omni-directional moving efficient wheeled robot can become a universal solution for a cleaning robot, a meal delivery robot, an express delivery robot and the like in combination with different application scenes.

The invention relates to the technical field of laser control, in particular to a laser compatible control system based on an STM32 microcontroller platform, which comprises a core control unit, a digital signal processing module, an analog signal processing module and a heat dissipation management module. The core control unit adopts an STM32 series microcontroller and interacts with all the modules through an SPI bus, the digital signal processing module adopts a shift register cascade architecture, the analog signal processing module shares the SPI bus through a plurality of digital-to-analog conversion chips, and the heat dissipation management module achieves temperature collection, fan driving and rotating speed feedback. The system supports RS232, RS485 and differential signal communication, and is adapted to various lasers. According to the invention, IO resource occupation can be reduced, data transmission efficiency and response speed can be improved, accurate temperature control and intelligent speed regulation can be realized, system compatibility can be enhanced, and complex industrial scene requirements of multi-wavelength microscopic imaging and the like can be satisfied.

The invention discloses a telescopic structure robot system based on an ROS. The telescopic structure robot system comprises a movable chassis, a vertical elevator installed above the movable chassis, a telescopic arm and a clamping jaw. The telescopic structure robot system is designed based on ROS2, and the telescopic structure robot system comprises a visual recognition control module. The main controller is an STM32, and the main controller adopts an OpenCTR B20 control panel of the Tuck innovation technology. Compared with a traditional complex and expensive robot system, the robot with the telescopic structure has a simpler structure and a simpler control mode, so that the robot with the telescopic structure is easier to develop and lower in cost; an ROS is combined with an STM32 single-chip microcomputer for control, movement in any direction and grabbing in an effective range can be achieved, and the requirement for grabbing objects in various daily scenes can be easily met; meanwhile, articles can be automatically grabbed in combination with computer vision; the requirements of application scenes such as home, medical treatment and business are met, and popularization and marketization are easier.

The invention provides a pulse modulation LED dimming system and method based on an STM32 single-chip microcomputer. The system is mainly composed of an STM32F103C8T6-single-chip microcomputer module, an OLED display module, a signal acquisition module, a matrix key module, a Bluetooth module, an LED lamp module and the like. The system method comprises the following steps: step 1, optimizing a hybrid modulation strategy and carrier allocation, and establishing a dynamic carrier frequency allocation model through a multi-mode hybrid scheme fusing pulse width modulation and pulse density modulation; step 2, collecting an LED load current waveform in real time through a current sampling module, dynamically adjusting a gain coefficient based on a harmonic distortion rate, and counteracting a main harmonic component of a current signal in real time; and step 3, implementing nonlinear compensation of volt-ampere characteristics. The system supports 0%-100% stepless dimming, brightness adjustment is smooth and flicker-free, the system has four dimming modes of normally-on, single-point, circulating and sliding, matrix key local control and Bluetooth remote control are supported, and a flexible and stable LED dimming scheme is provided for a user.

The invention provides an STM32-based autonomous underwater robot intelligent attitude control system and method, and relates to the technical field of underwater robot control, and the system comprises a sensor integration module which is used for collecting robot state data and environment data, a model construction module which is used for outputting a state estimation value and a disturbance force prediction value, and a control module which is used for controlling the state estimation value and the disturbance force prediction value. The fuzzy control module is used for determining the PID parameter adjustment amount according to the target attitude and the state estimation value, performing feed-forward compensation in combination with the disturbance force prediction value, and generating an attitude control instruction; the electric quantity monitoring module is used for sending a charging trigger signal, the fuzzy control module is further used for controlling the underwater robot to be in a charging posture according to the charging trigger signal, and the charging module is used for charging the power supply module when the wave energy power generation device reaches the optimal power generation position and sending a re-navigation signal to the fuzzy control module after charging is completed. According to the invention, the problems of low attitude control precision and low reliability of the underwater robot in the prior art are solved.

The invention discloses a multi-platform laser compatible control system based on an STM32 microcontroller platform. The multi-platform laser compatible control system comprises a hardware framework and a software framework. The hardware framework adopts a FreeRtos real-time operating system architecture and comprises a main control unit, a laser interface, a communication interface and a security module. And the main control unit adopts an STM32F4. The software framework comprises a hardware abstraction layer (HAL), a middleware layer, an application layer and a user interface layer. The laser control system aims at overcoming the defects of a traditional laser control system in the aspects of compatibility, safety, maintenance upgrading, operation efficiency, state monitoring and the like, is high in compatibility, high in safety, intelligent and high in efficiency, and meets the requirements of scientific research, industry and medical fields for precise control of the laser.

The invention relates to the technical field of electric vehicle safety, in particular to a battery thermal runaway early warning prevention and control system based on a multi-sensor fusion type neural network. According to the system, a multi-sensor technology is fused, battery operation data are accurately collected in real time, and multi-dimensional support is provided for thermal runaway early warning; the embedded dual-core dual-head STM32 processor architecture realizes the parallelism of system management and a neural network algorithm, so that the real-time performance and the calculation efficiency are improved; and the neural network early warning module carries out data training analysis and calculates a thermal runaway early warning grade. The early warning control module intelligently controls the vehicle according to the grade to comprehensively guarantee the battery safety; the system effectively improves the accuracy and response speed of battery thermal runaway early warning, and provides powerful guarantee for safe operation of vehicles.

The invention relates to the technical field of water and fertilizer machines, and discloses a water and fertilizer machine intelligent control system and method, the system comprises a main controller module, a water and fertilizer machine control module, a display screen control module and an interface display module, the main controller module is an STM32 chip, and the main controller module can control the water and fertilizer machine control module, the display screen control module and the interface display module. According to the invention, a start button is manually pressed on a home page or instruction control is directly carried out through voice, the system can irrigate each subarea in sequence according to the starting state and irrigation duration of each subarea until all the started subareas are irrigated, and if the number of times of alternate irrigation is greater than 1, the system can wait for a certain time (alternate irrigation interval), and the system can be started to irrigate the subareas. The rotation irrigation is carried out again until the set rotation irrigation frequency is reached, the system state is switched to be stopped, the irrigation process can be paused and temporarily stopped in the rotation irrigation process, and after irrigation is completed, the main controller module controls the automatic flushing module to flush the pipeline.

The utility model discloses an avionics control system for a small sounding rocket, and the system comprises a power voltage stabilizing circuit and an STM32 microprocessor. The STM32 microprocessor is respectively connected with the MOS tube switching circuit, the emission level reading module, the buzzer driving circuit, the steering engine driving circuit, the height sensor BMP280 driving circuit, the six-axis acceleration sensor MPU6050 driving circuit and the storage module W25Q64 driving circuit; the system can quickly, simply and conveniently complete flight data acquisition and attitude control of the rocket, is simple in structure and convenient to operate, has high integration level, high flexibility and stable attitude control and data acquisition and storage capabilities, is suitable for diversified experiment requirements, greatly simplifies the rocket control process, reduces the dependence on the experiment environment, and improves the experiment efficiency. The method is suitable for various engineering education and scientific research scenes, and the application value of the small sounding rocket in teaching and scientific research is improved.

The invention relates to the technical field of signal frequency measurement, in particular to a low-frequency-band fixed square wave frequency high-precision measurement method based on a kernel clock, which is suitable for the field of embedded systems and digital signal processing, is mainly used for low-frequency and fixed-frequency-band high-precision frequency measurement, and is not a frequency meter method specially used for measuring frequency. The method is suitable for measuring the fixed output frequency in a test system and the like. According to the method, a kernel clock of an embedded system (such as an STM32 single-chip microcomputer) is mainly utilized, a time constant is calibrated by measuring the count value of the duration of high and low levels of a fixed time window, and therefore the square wave frequency is obtained through calculation.

The invention relates to the technical field of ship control and navigation simulation, in particular to a ship trajectory visualization method and system based on combination of STM32 and Simulink, and the method comprises the following steps: an inertial measurement module and an ultra wide band positioning module collect attitude position information of a ship; the attitude position information is transmitted to an STM32 chip, the STM32 chip fuses the three-axis angular velocity, the three-axis linear acceleration and the three-axis geomagnetic data through a quaternion fusion algorithm to obtain a quaternion calculation result, and the quaternion calculation result and the position information in the three-dimensional space are fused to obtain fused data; the STM32 chip is used for fusing data, the fused data are packaged into data frames, the STM32 chip is used for transmitting the data frames to a ship model in a Simulink platform through a MAVLink protocol, the ship model is used for extracting the attitude angle and space coordinate information of the ship based on the data frames, and the visual motion trail of the ship is generated based on the attitude angle and space coordinate information of the ship. According to the invention, visual display and control algorithm verification are realized, and a semi-physical simulation closed-loop process is completed.

The invention provides a method for remotely upgrading a PG program, belongs to the technical field of PG program upgrading, and is mainly applied to an LCM display screen test fixture and can be expanded to PG products in the fields of vehicle-mounted display, industrial control display and the like. A solution based on an IAP function of an STM32 industrial chip is provided, a bootloader program is configured in a PG and cooperates with an upper computer program, and after the upper computer carries out unpacking, format matching and CRC32 verification processing on pre-upgraded PG program data, wireless remote transmission is achieved through an internet access or a WIFI router; after a bootloader program of the PG receives the data, register initialization and data unpacking are completed, and target data are written into a chip main program area according to an STM32FLASH write-in protocol; meanwhile, the upper computer and the bootloader complete upgrading result verification through a preset calibration scheme, the upgrading state, consumed time and abnormal information are displayed through a visual interface, and parallel batch upgrading of 1-20 PGs is supported. Technical support is provided for large-scale mass production of PG products, and enterprises are assisted in improving product cost performance and market competitiveness.

The invention provides a ground penetrating radar echo signal acquisition and processing device and method, and relates to the field of ground penetrating radars, and the device comprises an echo conditioning circuit, an ADC module, an FPGA module, an STM32 module, and an upper computer. An echo conditioning circuit is used for receiving an echo signal during detection of the ground penetrating radar and conditioning the echo signal; analog-to-digital conversion is carried out on the echo signals through an ADC module, and parallel high-speed data streams are obtained; the acquisition process of the ADC module and the gain of the echo conditioning circuit are controlled through the FPGA module; the FPGA module is used for receiving the high-speed data flow and carrying out data processing, and sending the data to the STM32 module; and the processed high-speed data stream is transmitted to the upper computer through the STM32 module for visual display. According to the technical scheme, the method can adapt to complex and changeable geological exploration environments and has high exploration precision.

The utility model discloses a three-phase frequency-adjustable phase-shift power supply, which comprises a three-phase wire inlet connector, a bridge arm circuit and an STM32 control panel, the three-phase wire inlet connector is electrically connected with a rectifier bridge, the rectifier bridge is electrically connected with a direct-current filter inductor L1, the direct-current filter inductor L1 is electrically connected with a filter capacitor circuit, and the filter capacitor circuit is electrically connected with the bridge arm circuit. The rectifier bridge, the direct-current filter inductor L1 and the filter capacitor circuit provide direct current for a loop, the bridge arm circuit is electrically connected with the filter capacitor circuit, the bridge arm circuit comprises Q1, Q2, Q3, Q4, Q5 and Q6, the bridge arm circuit is electrically connected with an output terminal, the STM32 control panel is electrically connected with a DDS signal generator, the DDS signal generator is electrically connected with a three-phase pre-amplifier, and the three-phase pre-amplifier is electrically connected with the bridge arm circuit. The three-phase pre-stage amplifier is electrically connected with the bridge arm circuit, the STM32 control panel generates a command to the DDS signal generator to generate a digital synthesis waveform, the digital synthesis waveform drives the bridge arm circuit through the three-phase pre-stage amplifier, and a three-phase four-wire system is formed by output terminals for output.

The invention discloses a multifunctional hand washer based on STM32 chip control, including a back plate provided with a faucet, an infrared sensor provided outside the faucet, a box provided above the faucet, a paper dispenser and a soap bottle connected to the faucet provided in the box, a paper outlet provided at the lower end surface of the box, a wash basin provided just below the faucet, and a control circuit provided in the box. The control circuit includes an MCU controller, and a solenoid valve circuit provided in a solenoid valve, a water supply sensor circuit provided in the faucet, a paper towel sensor circuit provided in the paper dispenser, a soap sensor circuit provided in the soap bottle, a wastewater sensor circuit provided in the wash basin, an infrared sensor circuit provided in the faucet, a foam pump circuit provided in a foam pump, and a paper dispenser circuit provided in the paper dispenser. By adopting the above-mentioned arrangement, it has the advantages of realizing the functions of washing hands and flushing and wiping hands at the same time.

The present invention discloses an optoelectronic measurement and control remote status acquisition system based on STM32 and FPGA, which relates to the fields of optoelectronic measurement and control technology and optical fiber communication. It solves the problem that current vehicle-mounted high-precision optical measurement equipment has limitations in terms of geographical location and personnel scheduling during use, and cannot ensure that operators can operate in the equipment in real time. The present invention connects the remote control end and the equipment end through a field optical cable to transmit real-time data, so as to achieve the purpose that the remote control end can control the equipment end and can give real-time feedback. This solution can perform remote control stably and reliably, improve the actual use efficiency, and solve the current situation where the equipment personnel cannot remotely control the equipment.

The application discloses a high-value consumable cabinet temperature control method for optimizing fuzzy PID parameters by using a Harris hawk algorithm, and belongs to the technical field of high-value consumable management. The method comprises the following steps: a temperature acquisition module collects data, and sends the data to an upper computer and an STM32 controller through a serial communication module, and a mathematical model of the internal temperature of the high-value consumable cabinet is calculated; a fuzzy PID temperature controller is designed based on the mathematical model, the error and the error change rate between the actual output value and the expected value of the temperature in the cabinet are controlled by using the fuzzy PID temperature controller to obtain the parameter value of the fuzzy PID temperature controller, and the quantization factor and the output proportional factor of the fuzzy PID temperature controller are optimized by using an improved Harris hawk algorithm; and the cabinet internal temperature is controlled in real time by the fuzzy PID temperature controller after the factors are updated. The improved Harris hawk optimization algorithm is used to optimize the fuzzy PID parameters, and the situation that the simulation result is not ideal due to excessive dependence on the setting of parameters according to expert experience is reduced.

The application discloses a Fourier series detection device for weak periodic signals under strong noise based on FPGA. The device comprises a program-controlled amplification module, an AD acquisition module, an FPGA Fourier detection module, an STM32 control module and an OLED display module. The program-controlled amplification module amplifies the amplitude of the periodic signals carrying strong noise. The AD acquisition module digitizes the amplified signals. The FPGA Fourier series detection module filters the strong noise and detects the Fourier series of the acquired digital signals. The STM32 controls the program-controlled amplification multiple, the AD acquisition rate, the OLED display and the communication with the FPGA. The OLED displays the Fourier series of the signals. The application has the advantages of accurate Fourier series detection, real-time Fourier series display and the like. The application can detect the spectrum of weak periodic signals under extremely low signal-to-noise ratio and can be applied to the fields of photoelectric signal detection such as Fourier transform infrared spectrum detection and Fourier transform terahertz spectrum detection.

The invention relates to the technical field of control or regulation systems, in particular to an implementation method of a multi-agent speedless measurement control device based on STM32. The method comprises the following steps: establishing a communication topological graph of a multi-agent system; determining a dynamical model of the agent node and an inclusion control protocol without speed measurement; a distributed hardware system platform based on an STM32 microcontroller is constructed; based on the platform, a collaborative development environment with STM32CubeMX and Keil uVision5 as the core is constructed. According to the invention, the STM32 microcontroller is taken as a core, the control instruction of the intelligent agent is directly calculated and is driven to execute, and only the positions of the intelligent agent and the neighbor node are taken as control input, so that a control target can be efficiently and stably achieved; the challenges of computing power, storage and bandwidth limitation when distributed inclusion control is deployed on a hardware platform based on an STM32 microcontroller are solved.

The present invention discloses a design architecture of an ultra-lightweight embedded Internet of Things rule engine. It has the following advantages: 1. It does not rely on a cloud platform and can work completely offline; 2. It only requires very few system resources (memory does not exceed 5K, Flash does not exceed 34K), which reduces the system resource usage by two orders of magnitude compared to the prior art, and can easily run on a conventional Internet of Things MCU (such as STM32). To achieve similar functions, the Internet of Things device using this method has lower cost, smaller size, and lower power consumption; 3. It is comprehensive in function and can support time planning, compound rules, multiple scenarios, combined actions, and data statistics with very small resources, while the prior art usually requires the Internet of Things device to have a very high hardware configuration or to use the cloud platform to participate in order to achieve similar functions; 4. It has high execution efficiency, with the matching and triggering time of the rules within 50ms and the execution time less than 10ms, which is one to two orders of magnitude higher than the prior art.

The invention discloses a secondary plasma radio-frequency power supply based on double processors, and the power supply comprises a DC power supply module which is used for converting 380V commercial power into DC and supplying the DC to a radio-frequency active power amplifier module for use; the radio frequency passive module is used for distributing or integrating radio frequency power; the radio frequency active power amplifier module is used for amplifying the radio frequency signal and outputting radio frequency voltage and current; the sampling module is used for coupling radio-frequency voltage and current, carrying out high-frequency ADC sampling and transmitting the radio-frequency voltage and current to the ZYNQ processor; the signal source module is used for outputting a radio frequency signal under the control of the ZYNQ processor; the dual-processor module comprises an STM32 processor and a ZYNQ processor; wherein the STM32 processor is used for monitoring the direct current power supply module and interacting with the upper computer; the ZYNQ processor is connected with the signal source module and the sampling module and is used for sampling digital signal processing and closed-loop power control. According to the invention, a ZYNQ + STM32 dual-processor structure is adopted, so that the dynamic response and stability of the power supply can be effectively improved.

The invention relates to the technical field of fire-fighting robots, in particular to a sliding rail frame type fire extinguishing robot and a climbing control method thereof.The sliding rail frame type fire extinguishing robot comprises a robot body, a sensing direction-changing mechanism, a sliding rail moving mechanism, a sleeve fixing structure and a fire extinguishing structure, and the sensing direction-changing mechanism, the sliding rail moving mechanism, the sleeve fixing structure and the fire extinguishing structure are integrated on the robot body; the STM32 core board plans a path and controls the Mecanum wheels to achieve omni-directional movement, in the climbing process, a bionic adsorption climbing mode of'fixing-stepping-alternate stepping 'is adopted, the robot ascends steadily along stairs, after the robot reaches a fire source, the rotating platform adjusts the direction of the fire extinguisher, and precise fire extinguishing is executed. The device is suitable for autonomous fire extinguishing tasks in high-rise building stair environments.

The invention relates to the technical field of automatic counters, in particular to an STM32-based assembly line infrared piece counter system, which comprises an STM32F407VET6 main control panel module, an STM32F407VET6 main control panel module, an STM32F407VET6 main control panel module, an STM32F407VET6 main control panel module, an STM32F407VET6 main control panel module, an The infrared correlation type sensor module is used for converting the collected optical information into an electric signal and then transmitting the electric signal to the main control board for processing; the key input module is used for selecting a counting mode of the system and enabling the system to enter different functions; the OLED output display module is used for displaying prompt information of various characters and numbers; the Bluetooth module is used for realizing remote control of the counter system, so that manual field management of the counter system is omitted; and the buzzer module is used for controlling fault alarm and piece counting peak value number alarm. Compared with the prior art, the system has the advantages of being stable and accurate in counting, capable of being remotely controlled and the like, and then the existing factory counting work efficiency can be improved.

The invention discloses a fabric classification method based on an intelligent near-infrared spectrum system and a neural network, which is applied to the intelligent near-infrared spectrum system consisting of a near-infrared spectrometer, a capacitive touch serial port screen, a ZYNQ processing platform and a control base plate, the signal is transmitted to the control bottom plate through the UART interface; an STM32 module is arranged in the control bottom plate and used for controlling the spectrograph to collect data, completing primary processing and transmitting processed spectral reflection data to the ZYNQ processing platform through a UART interface, a Zy-Net classification module in the ZYNQ processing platform calculates spectral data based on a neural network, efficient and low-delay real-time classification is achieved through the hardware acceleration capacity of a built-in FPGA of the Zy-Net classification module, and real-time classification is achieved. And finally, the classification result is displayed in real time through the capacitive touch serial port screen. According to the invention, the software and hardware cooperation advantage of the ZYNQ processing platform is fully exerted, so that the classification of different fabrics can be quickly and efficiently displayed in real time.