4498 results about "Microcontroller" patented technology

A system for AI-supported leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a water pipe, each sensor node comprising the following: a pressure sensor configured to measure local hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded microcontroller with integrated analog-to-digital conversion circuitry for digitizing sensor outputs; a wireless communication module configured to transmit time-synchronized sensor data to a cloud-based processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based processing platform includes an artificial intelligence engine that comprises the following: a data acquisition module configured to receive and decode the transmitted sensor data and to perform time alignment; a supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic waves, and estimating the arrival time difference from multi-node acoustic detections; and wherein the system is configured to provide real-time leak alerts and georeferenced visualization via a remote monitoring interface.

The invention discloses a single-chip microcomputer hierarchical dormancy control method based on dynamic power consumption prediction, and relates to the technical field of single-chip microcomputer low power consumption control, and the method specifically comprises the steps: building a mapping relation between a load current and a clock frequency; setting a dynamic dormancy threshold value; constructing a dynamic power consumption prediction model; a dormancy strategy is designed, module-level power consumption management and single-chip microcomputer function-based power consumption management are adopted, the callable frequency or the maximum operation duration of each function is distributed according to task priorities and battery residual energy consumption, and single-chip microcomputer peripherals are triggered through events and are independently awakened; and executing the sleep strategy, automatically awakening the single chip microcomputer according to a preset awakening condition, and realizing abnormity positioning and processing based on threshold comparison and power consumption monitoring in the process of executing the sleep strategy. According to the invention, module-level power consumption management and single-chip microcomputer function-based power consumption management are realized, the limitation of traditional global dormancy is broken, the need of overall reset during wakeup is avoided, and the response speed is improved while the energy consumption is reduced.

The invention relates to the technical field of automobile cup holder temperature control methods, and discloses an automobile cup holder temperature regulation control method based on a microcontroller. According to the method, real-time temperature data and environment parameters of a target container are collected, and an initial temperature parameter set containing a container surface temperature distribution curve and an environment heat exchange coefficient sequence is generated; then, establishing a first adjusting model containing a mapping relation between surface temperature change and refrigeration power according to the container surface temperature distribution curve, and establishing a second adjusting model containing environment heat interference and a heating power compensation rule according to the environment heat exchange coefficient sequence; during cup stand temperature control, based on real-time temperature difference fluctuation and container material heat conduction characteristic data, a target model is activated to generate a dynamic power instruction, finally, the instruction is input into a semiconductor temperature control unit of the cup stand, and the current gradient of a refrigeration sheet or the voltage distribution of a heating film is adjusted. The temperature of the automobile cup holder can be accurately and intelligently adjusted, and the user experience and the comfort level of an automobile cabin are improved.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention discloses a fast training type unmanned aerial vehicle reinforcement learning strategy method suitable for a microcontroller, and belongs to the technical field of unmanned aerial vehicle control, and the method comprises the steps: constructing a standard four-rotor dynamic model containing the first-order delay characteristic of a motor, and simulating a real physical system; an asymmetric actor-commentator architecture is adopted to ensure the robustness and mobility of the strategy; a reward function coefficient is dynamically adjusted based on a course learning mechanism, and network parameters are optimized by adopting an offline strategy algorithm; performing network training and process optimization; and carrying out lightweight processing and deployment on the trained strategy network, landing the strategy in simulation to a real hardware platform with limited resources, jointly realizing rapid training, reliable migration and lightweight deployment, and realizing high-frequency autonomous flight control of the unmanned aerial vehicle on an embedded platform. According to the method, the high-performance reinforcement learning control strategy can be stably and efficiently operated on the microcontroller with limited resources, and the hardware cost and the power consumption of the intelligent unmanned aerial vehicle are greatly reduced.

The invention relates to the technical field of computer hardware and network communication, in particular to a high-speed I / O (input / output) virtualization server based on an FPGA (field programmable gate array) and a remote forwarding method.The high-speed I / O virtualization server comprises an FPGA chip, a network processing unit, an I / O protocol processing unit, a protocol conversion and scheduling unit, a time sequence and transaction management unit and a data buffering and flow control unit are integrated in the FPGA chip; the optical fiber Ethernet interface module comprises a physical layer interface and an MAC layer processing and network configuration interface; the local I / O interface module comprises a USB interface circuit, a serial port interface circuit, a PCIe interface circuit and an interface expansion connector; the power supply and monitoring module comprises a multi-path power supply management system, a state monitoring and diagnosis system and an LED indication system; according to the self-adaptive Baud rate detection circuit, the Baud rate can be accurately locked under the condition that data with less than two characters is received, the number of data bits, the type of a check bit and the length of a stop bit are automatically identified, and compared with a traditional microcontroller scheme, the self-adaptive Baud rate detection circuit has higher precision and higher detection speed.

A portable device for agricultural applications, consisting of: a microcontroller-based processing unit (101); a plurality of integrated environmental sensors (102), including temperature, humidity and barometer sensors; wireless communication modules (103) supporting Bluetooth, Wi-Fi and LoRa protocols; a GPS module (104) for geolocation; a display interface (105) with touch and haptic feedback; wherein the device is configured to communicate with nearby edge computing nodes to receive localized agricultural predictions based on real-time environmental data.

The invention discloses a dynamic fruit and vegetable fresh-keeping system, and relates to the technical field of fruit and vegetable fresh-keeping. The system comprises an intelligent monitoring subsystem, the intelligent monitoring subsystem integrates various sensor modules to collect temperature, humidity and gas component data in the fresh-keeping equipment in real time, and the intelligent monitoring subsystem is connected with a cloud computing platform through a microcontroller and regulates and controls operation parameters of the fresh-keeping equipment according to platform instructions; the strategy making subsystem is combined with information collected by the intelligent monitoring subsystem and the visual identification subsystem to automatically adjust a personalized fresh-keeping strategy and environment parameters, a block chain tracing technology is adopted, and according to the change of the variety, maturity and storage time of fruits and vegetables, the fresh-keeping strategy and the environment parameters are automatically adjusted; according to the fruit and vegetable fresh-keeping management system, fresh-keeping strategies and storage environment parameters are automatically adjusted, precise, dynamic and informatization management of fruit and vegetable fresh-keeping is achieved, the fresh-keeping period is effectively prolonged, the quality is improved, food safety is guaranteed, and an all-round innovative solution is provided for the fruit and vegetable fresh-keeping industry.

The invention discloses a link auto-negotiation implementation method based on an Ethernet protocol, and relates to the technical field of link negotiation, and the method comprises the steps: according to an identifier of a SerDes IP protocol configuration register, judging and instantiating an auto-negotiation subsystem; configuring and sending an auto-negotiation frame through page data of the static random access memory; executing auto-negotiation state machine management, and negotiating to determine an optimal link parameter based on a page exchange and signal analysis result with opposite terminal equipment; monitoring link quality indexes of a plurality of channels in real time through a microcontroller; and according to a negotiation result, parameters of a sending end and a receiving end of the SerDes are reconfigured, and an external system chip is informed of final link parameters through an interrupt controller, so that link auto-negotiation and system initialization are completed. The problems of low link negotiation efficiency and poor link performance and stability in the prior art are solved.

The invention discloses a fork type mobile robot power distribution unit dynamic distribution control method and system, and relates to the technical field of intelligent robots, and the method comprises the steps: arranging sensors at a robot PDU input end and each output channel, collecting an operation data set in real time, and carrying out the preprocessing to form a dynamic feature data set; the main control microcontroller carries out power response analysis and evaluates a channel response state based on the dynamic characteristic data set, generates a preliminary power distribution instruction, calculates a target current MI during preliminary power distribution, carries out thermal stress analysis, and constructs a thermal stress identification index Htt to carry out thermal accumulation risk evaluation; when a heat accumulation risk exists, calculating a channel target current MII when the secondary power supply is distributed, and adjusting the duty ratio of an MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) switch to carry out heat suppression regulation and control; and after the distribution is completed, calculating an energy utilization rate Nsys and executing energy efficiency state evaluation. According to the method, adaptive distribution and safe operation management of the multi-channel power supply of the robot are realized.

The invention discloses a computer microcontroller low-power-consumption control method based on an RISC-V framework, and relates to the field of microcontrollers. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a core state cycle monitoring module, a sleep duration prediction unit, a dynamic voltage regulation unit, a multi-stage threshold cycle judgment module, a wake-up interference filtering unit and a closed-loop execution regulation module are configured. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a sleep duration prediction unit calculates a predicted sleep duration based on historical task data, a dynamic voltage regulation unit adaptively matches a core sleep voltage according to the predicted duration, hierarchical verification is performed on a core operation parameter through a multi-level threshold cycle judgment module, and the core operation parameter is subjected to low-power-consumption control based on the RISC-V architecture. And the wake-up interference filtering unit performs progressive filtering on an external wake-up signal, and controls the core to sleep / wake up in combination with the closed-loop execution adjusting module.

The invention discloses a real-time adaptive temperature monitoring intelligent sensor based on a deep learning algorithm, and belongs to the technical field of environmental parameter measurement and artificial intelligence. The sensor is composed of a main temperature measuring unit, an auxiliary environment sensing unit, a data acquisition circuit, a microcontroller, a deep learning processing module, a memory, a communication module and a power supply module. Multi-modal data are obtained through the auxiliary environment sensing unit, and the multi-modal data are preprocessed and then input into the self-adaptive temperature sensing network. In the adaptive temperature sensing network, a multi-mode encoder extracts time sequence characteristics of each channel, a convolution auto-encoder reconstructs a normal temperature measurement mode and performs anomaly detection, and a fusion decoder fuses output of each sensor into a corrected temperature value based on a dynamic weight formula. The method has the advantages of high real-time performance, high measurement precision, timely anomaly detection, high self-learning capability, low power consumption and the like.

The present invention discloses a backlight driving circuit, a backlight driving board, and a backlight driving method. The backlight driving circuit includes a boost circuit and a microcontroller. The boost circuit outputs a driving voltage to the backlight module according to a driving voltage output mode. The driving voltage output mode includes a first driving voltage output mode, and the first driving voltage output mode outputs a driving voltage to the backlight module in time periods up to a rated driving voltage. The microcontroller is configured to detect the ambient temperature of the backlight module and adjust the driving voltage output mode according to changes in the ambient temperature. It can be seen that the present application can adjust the driving voltage output mode of the boost circuit according to the ambient temperature of the backlight module, so that the boost circuit can work stably, improve the low-temperature startup of the wide-temperature and high-brightness backlight module, and solve the problem of backlight flickering when the backlight module is cold-started in a low-temperature environment, thereby improving the user experience.

The utility model relates to a rear-phase-cut single-live-wire type wall light modulator, which comprises an MOS (Metal Oxide Semiconductor) tube switch loop unit, a singlechip control unit and a direct-current power supply unit, the MOS tube switch loop unit comprises a wiring terminal J2 connected with an MOS tube Q1, a grid electrode of the MOS tube Q1 is connected with four resistors in series in sequence and then is connected with an MOS tube Q2, a drain electrode of the MOS tube Q2 is connected with a diode D2, the diode D2 is connected with a diode D1, a fixed end contact of a single-pole double-throw switch is connected with the MOS tube Q2, and two movable end contacts of the single-pole double-throw switch are connected with the wiring terminal J1 and the wiring terminal J3 respectively; the direct-current power supply unit comprises an alternating-current voltage waveform acquisition circuit, a direct-current voltage drop circuit, an overcurrent protection circuit and a filtering voltage stabilizing circuit; according to the single-chip microcomputer control unit, a linear sliding potentiometer is connected with the PC2 end of a single-chip microcomputer after being connected with a resistor in series, the linear sliding potentiometer and a rotary potentiometer are sequentially connected between the output end of the direct-current power supply unit and the ground in series, a triode Q6 is connected with a triode Q5 and then connected with the collector electrode of a triode Q7, and the base electrode of the triode Q7 is connected with the PA6 end of the single-chip microcomputer after being connected with a resistor in series.

The invention belongs to the related technical field of waterlogging simulation, and particularly relates to an urban waterlogging simulation device and method based on a digital twin system, and the device comprises the digital twin system, a physical sand table, a sensor, and a microcontroller. The twin system is connected with the physical sand table through a microcontroller and sensors arranged on the physical sand table, and is used for simulating the underground pipe network and surface ponding conditions of the urban target area under the rainfall condition, and regulating and controlling the physical sand table through the microcontroller to realize dynamic verification of the urban inland inundation process; the sensor is used for collecting underground pipe network and surface water accumulation condition data in the physical sand table in real time and transmitting the data back to the twin system, bidirectional interaction and synchronous display of the virtual environment and the physical sand table are achieved, and dynamic simulation and verification of the urban inland inundation process are achieved on the whole. Wherein the twinborn model is composed of a pipe network model, a road model and a building model. According to the invention, real-time mapping and interaction of the physical experiment and the virtual model of the urban drainage system can be realized.

The invention relates to the technical field of security control systems, in particular to an escape door linkage method and system based on fire signals, and the method comprises the following steps: S1, obtaining local control suggestions corresponding to all microcontrollers; s2, based on all the obtained local control suggestions, generating a final global control instruction through linkage analysis; s3, the final global control instruction is sent to a door body driving motor so as to control a door body to execute corresponding opening and closing actions; wherein the local control suggestion comprises the target opening angle, the movement speed and the driving torque. According to the invention, the reliability of fire security and protection can be improved.

The utility model provides a high-voltage interlocking detection system and a vehicle. The high-voltage interlocking detection system comprises a detection circuit and a microcontroller. The detection circuit comprises a plurality of detection branches connected in series, the plurality of detection branches are correspondingly connected with the plurality of low-voltage detection connectors, and the detection branches output corresponding detection signals based on the connection states of the low-voltage detection connectors; the microcontroller is connected with the plurality of detection branches to receive detection signals from the plurality of detection branches, and the microcontroller determines the on-off state of the high-voltage interlocking loop and the connection state of the plurality of low-voltage detection connectors based on the plurality of detection signals. According to the system, the detection signals of different detection branches are received and processed through the same microcontroller, the response speed is high, the multiple detection signals are received through the same microcontroller, the synchronism of receiving the detection signals is high, the detection real-time performance and the detection accuracy of the microcontroller are guaranteed, additional sub-control units do not need to be arranged, and the cost is low. The manufacturing cost is saved, and the system structure is simplified.

The invention discloses a tire detection method and system, an electronic device and a storage medium. The tire detection method comprises the following steps: collecting measurement data of a tire pressure sensor; identifying a vehicle state using the measured data; adjusting the acquisition frequency of a tire pressure sensor and an awakening mechanism of a microcontroller according to the vehicle state; acquiring tire pressure data by using a tire pressure sensor under the acquisition frequency; and under the awakening mechanism, awakening the microcontroller, and sending the tire pressure data to a receiving end according to a preset sending frequency corresponding to the vehicle state by utilizing the microcontroller. According to the technical scheme, the technical problem that in the prior art, a tire pressure sensor depends on periodic sampling and fixed-frequency communication, and consequently a large amount of invalid power consumption is generated can be solved.

A zonal audio system for a vehicle may include a microcontroller unit (MCU), a non-volatile storage communicatively coupled with the MCU that stores audio files for different types of audio functions, and a digital signal processing (DSP) module communicatively coupled with the MCU. The DSP module may process multiple types of audio functions simultaneously through a layered architecture that consolidates and prioritizes different audio streams including emergency calls, acoustic vehicle alerts, chimes, and infotainment.

The invention provides an optical sensing measurement method based on closed-loop adjustment of LED driving, and relates to the technical field of optical sensing. The method comprises the following steps: initializing a system; the microcontroller reads a current value of the analog-to-digital converter and calculates an error; calculating a new set value of the driving current of the light emitting diode according to the error; the microcontroller outputs the new set value to the digital-to-analog converter, the digital-to-analog converter controls the driving circuit to adjust the driving current of the light emitting diode, and after a preset time period, the current value of the analog-to-digital converter is collected; repeating the steps, when the error absolute value is smaller than a preset threshold value, judging that closed-loop convergence occurs, and recording the driving current at the moment and the current value of the analog-to-digital converter as measurement results; and obtaining the sample concentration according to the calibration curve and the driving current in the measurement result. According to the scheme, the dynamic range and the low-concentration precision are remarkably improved, LED aging and temperature excursion are inhibited, the circuit is simplified, and multiple groups of current-limiting resistors and multi-gear change-over switches are not needed.

The invention discloses an integrated circuit system of coupling equipment, and relates to the technical field of optoelectronic device packaging. According to the system, the main control module and the golden finger connector are integrated through the communication base plate, and the LED light source driving module, the photoelectric detection module and other functional modules are connected in a pluggable mode to form closed-loop control. And the main control module adopts a double-microcontroller architecture, so that data acquisition and driving control are separated, and the real-time response efficiency is improved. Each functional module is connected with the communication base plate through a golden finger connector, and an expansion interface of each functional module supports the access of a UV curing controller and other modules, so that the expansibility of the system is enhanced. The device is high in integration degree and excellent in module cooperation efficiency, coupling time can be shortened, hardware cost and maintenance cost can be reduced, production line beat efficiency and equipment operation stability can be improved, and the device is suitable for automatic coupling packaging of elements such as optical modules and lasers.

A secure container framework is disclosed for executing embedded AI micro-models in hardware-constrained or hybrid network environments. The system includes a secure execution container configured to manage AI micro-model lifecycle stages, enforce symbolic constraints, evaluate runtime telemetry, and optionally invoke fallback behaviors through alternate models or rule sequences. Each container includes cryptographically verifiable components such as policy maps, fallback subgraphs, and execution metadata. The invention supports mesh or non-mesh deployments, peer coordination, and operation on CPUs, GPUs, microcontrollers, or other equivalent or similar functionality hardware. The framework enables verifiable, autonomous, and policy-governed embedded AI operation.

The invention relates to the technical field of agricultural intelligent prediction, and discloses a fertilization decision-making system fusing soil and rice growth vigor information data acquisition and analysis, which is characterized in that a microcontroller controls an irrigation valve to apply an irrigation pulse with a preset duration, and a soil humidity sensor is used to monitor a time interval when moisture falls back from a peak value to a baseline; according to the method, irrigation behaviors are reconstructed into an active diagnostic tool, traditional chemical index detection is replaced by physical process dynamic monitoring, lag adjustment is converted into a pre-prediction mode, meanwhile, acoustic verification and a differential correction mechanism are combined, and the crop transpiration rate is predicted. And an anti-environmental interference accurate decision-making system is constructed on the basis of low-cost hardware.

The invention relates to the technical field of flexible electronic sensing, and particularly discloses a composite fiber membrane-based capacitive flexible pressure sensor integrated system and a preparation method thereof. The sensor is composed of a composite fiber membrane sensitive layer, an interlayer type electrode structure, a multi-channel signal acquisition module and an intelligent data processing system. Wherein the composite fiber membrane is prepared through an electrostatic spinning technology, polyvinylidene fluoride serves as a matrix, ionic liquid with the mass ratio of 40%-70% is evenly dispersed, a three-dimensional porous structure is formed, and a pressure signal is converted into capacitance change through the double-electric-layer capacitance effect; the signal acquisition module adopts a high-precision capacitance digital converter to cooperatively work with a microcontroller, 9-channel parallel data acquisition is realized, the resolution reaches 6aF, and data is transmitted through an anti-interference bus protocol; and the data processing system dynamically analyzes the pressure-capacitance relationship based on an exponential function model, suppresses noise to be below 0.1 aF RMS in combination with a filtering algorithm, and synchronously generates a visual pressure distribution map.

The invention discloses an active battery equalization system and method, and belongs to the field of line detection. The system comprises a monitoring module, a microcontroller, a battery pack, a switch array and a half-bridge LLC converter. The microcontroller is used for receiving the voltage sampling value and the current sampling value acquired by the monitoring module; calculating the average charge state of the battery pack and the charge state of each single battery according to the voltage sampling value and the current sampling value; comparing a difference value between the average charge state of the battery pack and the charge state of the current single battery with a preset balance threshold value, and judging whether an unbalanced battery exists or not; and under the condition that the unbalanced battery exists, the switch array is controlled to gate the unbalanced battery to the input end of the half-bridge LLC converter, and the half-bridge LLC converter is controlled to perform energy conversion, so that the unbalanced battery performs energy transmission with other batteries of the battery pack through the half-bridge LLC converter. By implementing the invention, the problems of high cost and low balancing speed in the prior art can be solved.

The invention belongs to the technical field of fault-tolerant control of an electronic system, and particularly relates to a dual-microcontroller system and a control method thereof, and the dual-microcontroller system comprises a hardware architecture and a software architecture; the hardware architecture specifically comprises a main MCU module, a standby MCU module, a dual-power module, a dual-measurement acquisition module, a hardware arbiter and an output switching value module; the software architecture comprises the steps of initializing a data synchronization communication interface of the main MCU module and the standby MCU module, starting the main MCU module and the standby MCU module, reading data of the measurement acquisition module in a working program state machine by the main MCU module, interacting with external equipment through the communication interface and driving switching value output; and when the main MCU module has no fault, the hardware arbiter selects the switching value output of the main MCU module to drive the external equipment, and when the main MCU module has a fault, the hardware arbiter selects the switching value output of the standby MCU to drive the external equipment.

The invention provides an optical module and a link optimization method and system. The method comprises the following steps that: the microcontroller issues a gain value, so that the continuous time linear equalizer performs equalization processing on an input voltage signal; the time processing module is used for sampling a voltage signal output by the continuous time linear equalizer to obtain sampling data; and the microcontroller determines the gain configuration of the continuous time linear equalizer based on the sampling data under different gain values. Compared with the prior art, the power consumption and the time delay of the module are equal to those of a traditional LPO, and meanwhile, the self-adaptive capability which is only achieved by a DSP scheme in the past is obtained. The application scene and deployment flexibility of the LPO technology are expanded; and meanwhile, the link performance can be always maintained near the optimal point, so that the risk that the performance is continuously deteriorated until error codes occur is fundamentally avoided, and intelligent maintenance of the link state is realized.

Systems and methods are provided for a transportation vehicle. A system includes a power delivery component comprising a power delivery port and a power meter component to measure a power delivery component voltage received at the power delivery component via a cable, and a seat box connected to the power delivery component via the cable and configured to provide a supply voltage to the power delivery component via the cable. The seat box comprises a DC-to-DC converter to convert an initial DC voltage to a seat box DC voltage, a voltage compensation component to change the seat box DC voltage to the supply voltage, and a microcontroller configured to receive the power delivery component voltage from the power meter component, determine a voltage drop across the cable based on the power delivery component voltage, and control the voltage compensation component to adjust the supply voltage based on the voltage drop.

The invention relates to the technical field of tablet hardness testers, in particular to a tablet hardness tester with a protection structure. Comprising a machine frame, a testing frame, a microcontroller, a rotating frame and a driving gear ring, the rotating frame and the driving gear ring can independently rotate, a feeding and discharging station, a detecting station, a cleaning station and an overturning station are sequentially arranged on the machine frame in the clockwise direction, four testing systems are installed on the rotating frame, and an overturning gear ring and a reset gear ring are installed on the machine frame. A first visual probe, a capacitive humidity sensor, a glass cover and a negative pressure rotating cylinder are installed on the testing frame, a second visual probe is arranged at the axis position of the glass cover, the data ends of the first visual probe, the capacitive humidity sensor and the second visual probe are all in data connection with the microcontroller, and a negative pressure cleaning assembly is arranged in the negative pressure rotating cylinder. According to the invention, through the collaborative design of independent driving of the double servo motors and circulating stations of the four test systems, an efficient and continuous detection process is constructed.

The invention discloses an electrostatic protection circuit and method, equipment and a storage medium, and relates to the technical field of electrostatic protection, and the circuit comprises a metal sheet connecting plug, an electrostatic discharge circuit, an electrostatic sampling circuit and a microcontroller; the metal sheet connecting plug is electrically connected with the metal sheet, the electrostatic discharge circuit and the electrostatic sampling circuit respectively; the electrostatic sampling circuit comprises a voltage division circuit and a conditioning circuit, and the voltage division circuit is electrically connected with the metal sheet connecting plug and the conditioning circuit; and the microcontroller is in communication connection with the electrostatic sampling circuit and the electrostatic discharge circuit and is used for performing analog-to-digital conversion on the output voltage of the conditioning circuit to obtain electrostatic voltage and controlling the electrostatic discharge circuit to be switched on or switched off. The static voltage of the operator can be acquired in real time through the microcontroller so as to accurately judge whether the static discharge of the current operator is in place or not, so that the condition of hot-line operation of corresponding equipment when the static discharge is insufficient is reduced, and the accuracy and reliability of the static discharge are improved.