Main Control Chip Research Articles

Intelligent Online Partial Discharge Detection and Sensor

In order to realize the online monitoring of partial discharge in solid switch cabinet, obtain the real partial discharge power and evaluate the insulation status of the switch cabinet, an online detection device based on partial discharge in solid switch cabinet was proposed. The ultrasonic sensor and resonant circuit used by the device to collect the high frequency signal generated when partial discharge occurs and the high frequency signal was converted into the voltage signal. The voltage signal was sent to the STM32 main control chip after data preprocessing and analog-to-digital conversion. Through the conversion of the collected electrical data, the local discharge quantity was obtained and displayed on LCD screen in real time. If the detected discharge power was greater than a set value, an alarm would be automatically issued to remind the on-site power personnel to pay attention to it and prevent major power accidents caused by insulation damage. From the experimental results, it was found that the value of intermittent partial discharge collected by the developed device was 63pC, which was basically consistent with the DMS data. The experimental results showed that the device had the characteristics of simple operation and signal processing speed, high testing data real-time, and low cost, which was suitable for the real-time monitoring of the high voltage equipment in internal partial discharge. It was convenient for operators to maintain the equipment and ensure the normal operation of the equipment, which was of great significance to improve the reliability of power supply.

Design and implementation of ratiometric fluorescence detection system for serum bilirubin

The current quantitative methods of bilirubin have disadvantages such as high cost and low sensitivity. Due to the negative correlation between the level of serum bilirubin and the risk of cardiovascular diseases, a fluorescent ratiometric film sensor was developed aiming at bilirubin detection at low level concentration. Blue-emitting and red-emitting gold nanoclusters were assembled into the same film using layer-by-layer self-assembly technology. Detection of bilirubin was achieved based on the intensity ratio of the two nanoclusters. Bilirubin exposure causes fluorescent quenching of the film. The fluorescence intensity ratio of the two cluster probes had quantitative relationship versus bilirubin concentration. Based on this film sensor, a portable fluorescence detection system was designed for the ratiometric sensing of bilirubin. The hardware of the system was mainly composed of main control chip STM32F407, TSL237 and TSL238T optical frequency sensor. A light-avoiding dark room and detection light path were designed through three-dimensional printing to reduce the interference from ambient light and improve detection accuracy. Experimental results showed that the proposed detection system had strong anti-interference, good stability and accuracy. The linear coefficient of bilirubin detected by this system was 0.987. The system presented good results in reproducible experiments and possessed a good linear relationship with the data obtained by standard spectrofluorometer. The portable system is expected to detect serum bilirubin at low levels.

Credibility evaluation system for The Internet of Things: Impact and Implications for Health Care Delivery

Due to the imperfection of the technology of speech recognition embedded in the Internet of things devices, the evaluation results of the credibility evaluation system for speech recognition control of the Internet of things devices have errors, so a credibility evaluation system for the Internet of things devices based on speech recognition technology is designed. First of all, the hardware structure of the system is designed, the MCU main control chip is developed, and the system hardware is optimized with the help of MCU. In the software design, the digital filter is used for speech signal preprocessing, the rectangular window and Hamming window are used to frame and add windows to the speech, the function related gate is introduced to divide the fault events and basic events, and the credibility evaluation system of Internet of things equipment based on speech recognition technology is completed. The performance test results show that compared with the traditional system, the average recognition rate of the designed system for different lengths of instructions is improved.

Intelligent Assessment of Mental Health Based on IoT Data

In order to solve the problem of the accuracy of mental health assessment of college students, the author proposes an intelligent assessment system for mental health based on IoT data. In order to improve the evaluation effect, the author based on the original student mental health crisis counseling risk evaluation system designs a new risk assessment system for student mental health crisis counseling. The system hardware section mainly optimizes the design of the main control chip and the minimum system circuit. At the same time, a psychological counseling risk calculation model is built to realize the process of quantifying the risk value. The membership degree of the risk value is calculated using the basic principle of fuzzy logic, and the evaluation result is introduced into this part of the calculation to obtain an accurate evaluation level. The evaluation accuracy of the design system can reach up to 99%, and the detection time is as low as 5 s, which greatly improves the evaluation performance. The use of the design system is better than the evaluation system currently in use.

Image Acquisition and Processing System based on ZYNQ

With the advancement of manufacturing processes, imaging sensors have become more and more sophisticated, the amount of image data generated is increasing, and application scenarios and functional algorithms have become more and more complex. The traditional serial processing method can no longer meet the real-time requirements of image processing. The use of hardware to accelerate image algorithms has become a basic trend in image acquisition and processing systems. Xilinx’s Zynq7000 series chip integrates a dual-core A9 series ARM processor (PS) and an A7 series FPGA (PL). The industry standard AXI interface (advanced extensible interface) is used for information between ARM and FPGA. Interactive. This paper designs an image acquisition and processing system based on Zynq, which collects images through OV5640, uses Zynq as the main control chip to analyze and process the image data, and uses RGB LCD for image display. This article develops the OV5640 video capture IP, LCD driver IP, and image edge detection IP, and calls these key IPs in the ZYNQ system to establish an image capture and processing system that integrates image data collection, transmission, storage, image display, and edge extraction. The overall effect of the system is good, and it can effectively detect the edge information of the target. At the same time, the image collection and display can reach the design target of 60 frames per second, which has strong applicability.

Cyber Security Protection of Power System Equipment Based on Chip-Level Trusted Computing

This article proposes a network security protection scheme for power system embedded devices based on chip-level trusted computing, gives the overall architecture of power equipment chip-level trusted computing, introduces the principle of trust chain transfer within power terminals, and proposes the method of using the on-chip SRAM inside the main control chip of power system embedded devices as the PUF to construct the trusted root. Furthermore, we propose a complete trust transfer mechanism from booting trust to the loading that trust on operating system and application, and give the corresponding program design framework and program logic. The chip-level trusted computing program designed in this article was applied in a distribution automation DTU device equipped with the FUXI chip that is developed by the China Southern Power Grid and the Sylix OS operating system. Finally, we carry out the security protection test. The validity of the designed program is verified by running malicious programs to attack the power equipment. The results show that the designed program can effectively detect and intercept illegal programs, and provide an effective solution for the security protection of power equipment in the open network environment.

Wearable Running Training Data Acquisition System Based on Intelligent Computer Technology.

Because the instantaneous motion of running training changes rapidly, the acquisition accuracy is low. Therefore, a wearable running training data acquisition system based on intelligent computer technology is designed. In the hardware design of the system, by setting the registers of the main control chip, inertial sensor, and magnetic sensor, the acceleration and angular velocity information of motion exist in the data format of binary complement. Bluetooth realizes the transparent transmission of data between hardware and software. The system software uses LDA recognition algorithm to decompose the dynamic data transmitted by Bluetooth into multiple static data and collect the final motion data through training. The experimental results show that the designed system has good quality and high accuracy in motion detection and counting.

Experimental Research on a Pipeline Through-wall Communication System Based on Extremely Low Frequency

The traditional fixed-point operation robot of natural gas pipeline uses cable as the medium to realise the throughwall communication. However, with the increase of working distance, problems such as increasing cable weight or friction force with the pipeline wall will prevent the work from continuing and have a high potential risk. In order to solve this problem, this paper puts forward an overall design of the through-wall communication using the extremely low-frequency (ELF) electromagnetic wave with strong penetration ability. Firstly, a model of the solenoid transmitting coil is established using the Maxwell finite element simulation module to simulate the distribution of the extremely lowfrequency electromagnetic field. Then, the influence of different factors such as environment and medium on magnetic field intensity are analysed. With STM32F405 as the main control chip and AD9959 as the transmitting signal source, the hardware circuit of the communication system is built. At the same time, an experimental test of the ELF communication system is carried out and the experimental results show that the designed through-wall communication system can achieve good communication inside and outside the tube. The communication distance along the radial direction of the tube can reach 140 cm, which can meet the communication needs of fixed-point operation of the robot in the tube.

Research on Pattern Extraction Method of Underwater Acoustic Signal Based on Linear Array

Underwater acoustic signal is an important reference data for marine information research. The research and application of underwater acoustic signal have been widely concerned and valued by countries and enterprises. With the needs of modern military development and the development of marine industry, the research and application of underwater acoustic signal will develop faster and faster. In order to better understand marine information, it is necessary to collect seawater acoustic signal data. Aiming at the purpose of recording underwater acoustic signals placed in the ocean for a long time, this study innovates the calibration and recording of large dynamic range of long-time underwater acoustic signals, improves the circuit setting methods such as receiving, amplification, and sampling, designs a large dynamic series of long-time underwater acoustic signal recording device, and adopts the linear array extraction method, so that it can monitor the underwater acoustic biological sound under the condition of low power. It can also monitor the blasting sound of offshore engineering. Hardware circuit design mainly includes main control chip selection, amplification circuit design, filter circuit design, analog-to-digital conversion circuit design, storage circuit design, and some auxiliary circuit design. The fourth chapter introduces the software development process of large dynamic range underwater acoustic signal recorder and mainly introduces the system development tool, system clock working method, real-time clock module working method, underwater acoustic signal acquisition method, data storage scheme design, and the use of FatFs file system. The underwater acoustic signal data is stored on a MicroSD in the form of TXT file; linear array extraction method is used for feature extraction. Compared to other methods, the transformer will suppress DC and low-frequency interference signals, thus achieving high-pass filtering characteristics. Finally, the performance and experimental results of the whole underwater acoustic signal recording device are analyzed. After testing, the underwater acoustic signal recording device designed in this paper works stably and can record underwater acoustic signals with large dynamic range for a long time in low-power mode.

Sensor Design Based on Wireless Measurement of Corrosion Monitoring of Reinforced Concrete Structure

Reinforced concrete structures are widely used in modern buildings such as buildings, bridges, and tunnels. However, the structural damage caused by reinforcement corrosion seriously affects the service life of the buildings. Because the corrosion of reinforcement in concrete is a very slow process, the continuous detection of reinforcement corrosion is very important. In view of the slow development of steel corrosion detection equipment in China, which cannot meet the application requirements of concrete structures in China, wireless monitoring technology has more advantages than traditional monitoring technology. In this paper, combined with wireless transmission technology, a concrete reinforcement corrosion detection system based on wireless sensor network is designed. Embedded sensors based on the principle of electromagnetic coupling are used to collect steel corrosion information. It is determined that the 16-bit ultralow power consumption microcontroller MSP430F149 is the main control chip, the AD9850 based on DDS technology is the signal generation chip, and the nRF905 is the detection circuit scheme of the wireless transceiver chip. The star network is determined by polling the entire network topology and MAC protocol. The embedded sensor is designed through simulation. This article discusses the principle of using embedded sensors to detect steel corrosion and determines the feasibility of its low-cost implementation. The embedded sensor and steel corrosion detection system were tested. The simulation method of the embedded sensor is verified through actual measurement. The test results show that the system network is normal and all parts work stably, which can meet the requirements of the project.

Innovative design of automatic demoulding device for lightweight wall panels

Abstract The automatic production of lightweight wallboard is an important support for promoting the development of the construction industry. In view of the problems of low efficiency and large demoulding loss in the production process, an innovative improvement of the demoulding device for lightweight wallboard is proposed. Optimizing the demoulding device for lightweight wall panels by combining a gripping device and a conveying device. The synchronous operation of demoulding of wall panel and mold recovery is realized. For the intermittent transmission of wallboard production, it is proposed to use 51 single-chip microcomputer as the main control chip, and S-curve acceleration and deceleration as the speed control algorithm. The demolding production efficiency of the device is improved, and the demolding loss is reduced. The feasibility and effectiveness of the innovative design of the lightweight wallboard stripping device were verified by finite element analysis of the grabbing device.

Design of Permanent Magnet Synchronous Motor Power-assisted System Based on Field Oriented Control Algorithm

Aiming at the integrated surgical robot, a set of power-assisted control system is designed to overcome the transmission resistance between master and slave hands, so that the operator feels light and comfortable during operation. The system includes permanent magnet synchronous motor, driver, controller, torque sensor, upper computer. The field oriented control algorithm is discussed and is used to control the permanent magnet synchronous motor. STM32 is used as the main control chip, DRV8301 is used as the driving chip, and the upper computer software, which has human-computer interaction interface and real-time torque signal display interface, is written by C#. A non-contact torque sensor and corresponding signal processing module is designed. The experimental results show that with the operator’s start-stop and reversing action, the q-axis current of the motor changes rapidly, and the amplitude of steady-state changes is small. This means that the designed system has the advantages of stable assist torque and fast response.

Design and test of a distributed control system of weeding robot based on multi-STM32 and CAN bus

Aiming at the problems of a single control mode, complex signal line, serious interference and poor system stability of a traditional weeding machine, a distributed control idea was proposed. Based on STM32 as the main control chip, each control unit realizes motion control, detection control, command control, and the terminal was displayed in a centralized manner. Based on ISO11783 protocol, according to the actual requirements of the weeding robot, the CAN bus communication protocol was improved and formulated to form a distributed control system. The system can completely realized all the actions of the weeding robot. 1. Motion controls: robot forwards, backwards, turning and weeding knife up or down; 2. Detection feedback: a power chassis climbing angle calculation and weeding knife speed self-adjustment, battery power, engine fuel capacity display; 3. Control command input functions. The test results had shown that the control system is stable, responsive solid, design specifications. It could meet the requirements of practical application. Meanwhile, the real-time accuracy and reliability of a CAN bus application in the agricultural production control system were verified.

IBGS: A Wearable Smart System to Assist Visually Challenged

Traditional blind guide devices are large and high cost. In this paper, a kind of intelligent blind guide system (IBGS) is introduced. GD32 is used as the main control chip, it cooperates with various functional modules to realize traffic light recognition, obstacle avoidance, payment, and navigation functions on the basis of speech recognition. At the same time, IBGS uses WIFI instead of Bluetooth to get rid of the dependence on smart phones. In addition, a cloud database is built, and the Internet of Things technology is used to realize the information interconnection between the IBGS, the database, and the guardian’s mobile terminal. In order to better realize the function of speech recognition, this paper proposes a Conv-Transformer Transducer (ConvT-T) speech recognition framework based on Weak-Attention Suppression (WAS), which improves the efficiency of multi-head attention through WAS. The proposed method achieves word error rate (WER) of 3.2% in test-clean and 7.9% in test-other on the LibriSpeech ASR corpus with only 73M parameters, which reduces the WER by 0.3% and 0.4% compared to ConvT-T respectively, indicating that WAS can effectively play the role of suppressing non-critical attention on the ConvT-T framework. At the same time, the IBGS has been tested in a comprehensive application scenario. In outdoor traffic light recognition, speech recognition, and obstacle avoidance tests, the accuracy rates of 92.33%, 90.33%, and 96.67% were achieved respectively. The results show that the IBGS can effectively deal with various challenges encountered by the blind in their daily outdoor walking.

Sensorless Control Strategy of Permanent Magnet Synchronous Motor Based on Fuzzy Sliding Mode Observer

In this paper, a sensorless control strategy of permanent magnet synchronous motor (PMSM) based on fuzzy sliding mode observer (FSMO) is proposed. On the premise of satisfying the Lyapunov stability condition, a sliding mode observer (SMO) is constructed. The sigmoid function is used instead of the sign function as the switching function. The parameters of sigmoid function are adjusted in real time by establishing fuzzy rules to change the convergence characteristics of sigmoid function, so as to improve the observation performance. The back EMF signal extracted by the SMO can be made smoother by using the back EMF adaptive law, which reduces the chattering of the system and the observation error. In order to solve the problem that the traditional phase locked loop (PLL) can not be used when the positive and negative speed of the motor is switched, a tangent function PLL is proposed in this paper. Through the use of tangent function, the value and symbol of back EMF are avoided from entering the system, so as to realize the accurate estimation of rotor speed and rotor position under the condition of positive and negative speed switching. The designed Fuzzy Sliding Mode Observer is simulated in Matlab/Simulink, and the experimental verification is carried out on the 2kW surface mounted PMSM vector control platform with TMS320F28335 as the main control chip. Simulation and experimental results show that this method can effectively track the changes of rotor speed and position when the motor is switched between positive and negative speed, and has the characteristics of fast convergence, small chattering and good robustness.

Research on Monitoring Algorithm and Induction Trigger System of New Spectrophotometer

In the traditional laboratory engineering bacteria culture work, it is necessary to frequently sample the bacterial solution and judge the growth period by photometric method. These operations are accompanied by pollution risk and the change of culture environment. In this paper, a design scheme of illumination monitoring algorithm of new spectrophotometer based on single chip microcomputer is proposed, The absorbance value is calculated by single chip microcomputer and the threshold is preset to trigger the induction action, so that the whole process from the beginning of culture to the triggering induction of engineering bacteria can be intelligent, automatic and non-contact. The new spectrophotometer takes STM32F103 series processor as the main control chip, and the system is mainly composed of main control board and induced action trigger device. The main control board mainly includes optical density calculation, 12 LED light control, 12 action machine control and human-computer interaction module; The induced action trigger device is composed of motor, bh1750 module, monochrome light source and other parts, which can realize illuminance detection, absorbance calculation, preset absorbance value and trigger the action machine. The system automatically adjusts the working mode of the sensor through the matrix keyboard input, displays the image through a liquid crystal display, uses the bh1750 illuminance sensor module to convert the input illuminance signal into electrical signal for wired output, processes the sensor data through MCU, performs logical operation with the preset value and performs corresponding action. The main control part of the system is small, and the detection method is simpler and faster than the traditional detection. The logic operation part is cleverly designed, the trigger time of the induced action is flexible and adjustable, and there is an adjustable timer after the induced action is triggered.

Design of Intelligent Fusion Terminal System with Fog Computing Capability in Distribution Area based on Large Capacity CPU

The intelligent fusion terminal in the distribution area usually adopts the mode of cooperation between the cloud and the edge, and the workload of manual operation and maintenance is large. Therefore, an intelligent fusion terminal system in the distribution area with fog computing capability based on a high-capacity CPU is proposed. Follow the “cloud pipe edge end” construction framework of smart IOT system, and take this framework as the edge computing node of distribution station area and power consumption side. Mt7622b chip in Linux operating system with openwrt firmware is used as the main control chip of edge agent gateway equipment, and the recursive least square method is used to realize the data fusion of power acquisition service in distribution station area and power distribution demand terminal. The test results show that the designed system can realize real-time monitoring of power consumption and distribution data and power quality management in the distribution station area, and the data processing delay is less than 100ms, which provides a reference for the intelligent fusion terminal system in the distribution station area.

Design of a high precision converter for multi-sensor information fusion

The converter is a measuring device and is used together with the displacement sensor. In view of the existing sensor transform device is susceptible to error and temperature drift effects acquisition accuracy is not high, we design a high precision transducer, multi-sensor information fusion for vehicle steering gear shaft angular displacement signal measurement, signal transformation and digital transmission. The converter has the characteristics of high precision, miniaturization and low cost. Multi-sensor information fusion high-precision converter adopts front-end signal amplifier circuit, following filter processing circuit and embedded software of microprocessor for online compensation to satisfy the requirements of high-precision transformation. The microcontroller is used as the main control chip to meet the requirements of 8-channel bipolar analog signal acquisition. Two 14-bit, 6-channel A/D chips are used to convert the bipolar analog signal in the range of ±10V, and the RS422 hardware interface circuit performs digital transmission according to the time sequence specified by the central programmer. The experimental results show that the conversion accuracy of the device can reach 0.06%, the digital signal transmission is stable, and it can be widely used in industrial production.

Electric Window Regulator Based on Intelligent Control

In order to effectively solve the problem of installation cost of automobile electric windows and the safety of passengers, the window regulator of the car must have an intelligent control function. For example, most automobile windows now have an anti-pinch function. In this paper, the model of DC brushed motor is analyzed, an intelligent control scheme for automotive power windows is proposed, and the relationship between current ripple and window travel, motor current and external resistance are verified. In the hardware design, S9S12G128 is the main control chip, and the motor current acquisition method is designed. In the software design, intelligent control methods such as current integration method, adaptive and self-learning algorithm and intelligent speed regulation method are proposed to realize functions such as automatic window opening and closing, intelligent anti-pinch and intelligent speed regulation. After many experiments, the results prove the feasibility of the above methods and the stability of the system.

Voltage standing wave ratio reading circuit design for inductance capacitance wireless passive ammonia sensors.

It is not easy to conduct wired tests on sensors in harsh environments, and network analyzers are large, heavy, and inconvenient to carry. At the same time, the price of network analyzers is usually very high, which greatly limits their application. In this study, a voltage standing wave ratio reading circuit is designed to test inductively coupled (LC) wireless passive sensors. By introducing the theory of the standing wave ratio, the design concept and function of each module are analyzed from each specific module. The resonant frequency reading circuit of the sensor is designed and fabricated, and its sweep frequency range covers the frequency range of the commonly used LC wireless sensor, which widens the bandwidth measurement range. The main control chip adopts STM32 series, which makes the circuit and sensor module simple in structure and low in cost. This circuit can accurately obtain the resonant frequency of the sensor through the standing wave ratio and can measure the dynamic change in the sensor standing wave ratio. The output frequency range and output precision of the linear sweep source of the signal reading circuit were tested, and the dynamic testing ability of the circuit to the changing frequency was verified and improved the measurement accuracy.