Seismic geophone is the key instrument for seismic data acquisition in the fields of oil and gas exploration and other relevant fields.It plays an important role in data quality,subsequent processing and interpretatio...Seismic geophone is the key instrument for seismic data acquisition in the fields of oil and gas exploration and other relevant fields.It plays an important role in data quality,subsequent processing and interpretation.Aiming at the shortcomings of the existing geophones,such as large volume,heavy weight,unable to monitor in real-time,and heavy workload of data transmission and storage,this paper designs and implements a wireless geophone based on STM32 embedded microcontroller.It is mainly composed of STM32 microcontroller,acceleration sensor,global positioning system(GPS)module,Wi-Fi module and real-time seismic data receiving and processing module.Firstly,the acceleration of vibration in three directions is sensed by the acceleration sensor;secondly,the sampling and analog-to-digital conversion of the vibration data is controlled by the microcontroller;thirdly,the vibration and GPS data are sent to the personal computer(PC)through Wi-Fi,and the personal coomputer PC-side software module completes the reception,display,monitoring and storage of the seismic data;finally,the feasibility and effectiveness of the designed wireless geophone are verified through actual seismic data acquisition experiments.展开更多
针对目前各大型储物仓库货物数量多、质量大和人工分拣、搬运较为困难导致的一些仓库管理效率低下等弊端,文章设计了一款基于STM32的自动分拣式仓储物流机器人。该机器人采用射频识别(Radio Frequency Identification,RFID)技术自动识...针对目前各大型储物仓库货物数量多、质量大和人工分拣、搬运较为困难导致的一些仓库管理效率低下等弊端,文章设计了一款基于STM32的自动分拣式仓储物流机器人。该机器人采用射频识别(Radio Frequency Identification,RFID)技术自动识别货物信息;通过算法设计自动规划路径运行到相应的货架位置;采用超声波避障技术避开障碍完成智能寻路;利用物联网传感器技术进行称重、利用机械化结构技术进行减震、利用STM32单片机技术上下台阶和升降。该机器人在以上几个模块的协同配合下,能将货物安全、快速、准确地存放于货架上。与传统的人工分拣相比,该机器人使管理效率得到了显著提高,大大降低了人工成本和危险系数,在实现仓储物流的无人化管理方面具有广阔的发展空间与应用前景。展开更多
Aiming at the problem of greenhouse environmental information collection in agricultural production,this paper designs a greenhouse monitoring system based on STM32 microcontroller.The system uses STM32F103 series MCU...Aiming at the problem of greenhouse environmental information collection in agricultural production,this paper designs a greenhouse monitoring system based on STM32 microcontroller.The system uses STM32F103 series MCU as the main control unit,which is used to receive the detection results of the sensor.The host computer software displays and processes the monitoring data.The temperature and humidity sensors monitor air temperature and humidity.The capacitive soil moisture detection sensor monitors soil moisture.The carbon dioxide sensor monitors the concentration of carbon dioxide.The photosensitive sensor monitors light intensity.This design has low hardware cost and high data acquisition accuracy,which can be applied to the actual greenhouse agricultural production and has wide practicability.展开更多
Volatile organic compounds(VOC)gas detection devices based on semiconductor sensors have become a common method due to their low cost,simple principle,and small size.However,with the continuous development of material...Volatile organic compounds(VOC)gas detection devices based on semiconductor sensors have become a common method due to their low cost,simple principle,and small size.However,with the continuous development of materials science,various new materials have been applied in the fabrication of gas sensors,but these new materials have more stringent requirements for operating temperature,which cannot be met by existing sensor modules on the market.Therefore,this paper proposes a temperature-adjustable sensor module and designs an environmental monitoring system based on the STM32F103RET6 microprocessor.This system primarily utilizes multiple semiconductor gas sensors to monitor and record the concentrations of various harmful gases in different environments.It can also monitor real-time temperature,humidity,and latitude and longitude in the current environment,and upload the data to the Internet of Things via 4G communication.This system has the advantages of small size,portability,and low cost.Experimental results show that the sensor module can achieve precise control of operating temperature to a certain extent,with an average temperature error of approximately 3%.The monitoring system demonstrates a certain level of accuracy in detecting target gases and can promptly upload the data to a cloud platform for storage and processing.A comparison with professional testing equipment shows that the sensitivity curves of each sensor exhibit similarity.This study provides engineering and technical references for the application of VOC gas sensors.展开更多
In allusion to the simplification phenomenon of the aquarium equipment on the market,aimed at reducing the labor intensity of the breeder,the intelligent aquatic animal box is designed based on embedded system,its cor...In allusion to the simplification phenomenon of the aquarium equipment on the market,aimed at reducing the labor intensity of the breeder,the intelligent aquatic animal box is designed based on embedded system,its core processor uses STM32F4 and combined with the wireless communication,data processing technology,implement multiple DC motor control. The system uses C language as a design language. and the keil is used as the development environment,and the STM32 library function version of the embedded application development and the STAG emulator are used to the core chip and then debug. The results show that the design can fully realize the function of highly intelligent animals aquarium.展开更多
People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particul...People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole hand.In this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy rates.For this purpose,smart gloves working in real time were designed.The data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart phone.Internally,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control System.The flex sensor generates a proportional change in resistance for each individual move.The processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view software.IDLG compares the input signal to memory-stored specified voltage values.The performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different people.In the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy.展开更多
A pair of synchronous line-tracking robots based on STM 32 are designed.Each robot is actually a small intelligent car with seven reflective infrared photoelectric sensors ST 188 installed in the front to track the li...A pair of synchronous line-tracking robots based on STM 32 are designed.Each robot is actually a small intelligent car with seven reflective infrared photoelectric sensors ST 188 installed in the front to track the line.Two rear wheels each driven by a moter are the driving wheels,while each moter is driven by an H-bridge circuit.The running direction is controlled by the turning of a servo fastened to the front wheel and the adjustment of speed difference between the rear wheels.Besides,the light-adaptive line-tracking can be performed.The speeds of the motors are controlled by adjusting pulse-width modulation(PWM)values and an angular displacement transducer is used to detect the relative position of the cars in real time.Thus,the speeds of the cars can be adjusted in time so that the synchronism of the cars can be achieved.Through experiments,the fast and accurate synchronous tracking can be well realized.展开更多
基金Supported by the National Natural Science Foundation of China(No.41804135)Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics,Chinese Academy of Sciences,Open Project(No.KLOR2018-9)Beijing Information Science and Technology University Research Fund Project(No.2025025).
文摘Seismic geophone is the key instrument for seismic data acquisition in the fields of oil and gas exploration and other relevant fields.It plays an important role in data quality,subsequent processing and interpretation.Aiming at the shortcomings of the existing geophones,such as large volume,heavy weight,unable to monitor in real-time,and heavy workload of data transmission and storage,this paper designs and implements a wireless geophone based on STM32 embedded microcontroller.It is mainly composed of STM32 microcontroller,acceleration sensor,global positioning system(GPS)module,Wi-Fi module and real-time seismic data receiving and processing module.Firstly,the acceleration of vibration in three directions is sensed by the acceleration sensor;secondly,the sampling and analog-to-digital conversion of the vibration data is controlled by the microcontroller;thirdly,the vibration and GPS data are sent to the personal computer(PC)through Wi-Fi,and the personal coomputer PC-side software module completes the reception,display,monitoring and storage of the seismic data;finally,the feasibility and effectiveness of the designed wireless geophone are verified through actual seismic data acquisition experiments.
文摘针对目前各大型储物仓库货物数量多、质量大和人工分拣、搬运较为困难导致的一些仓库管理效率低下等弊端,文章设计了一款基于STM32的自动分拣式仓储物流机器人。该机器人采用射频识别(Radio Frequency Identification,RFID)技术自动识别货物信息;通过算法设计自动规划路径运行到相应的货架位置;采用超声波避障技术避开障碍完成智能寻路;利用物联网传感器技术进行称重、利用机械化结构技术进行减震、利用STM32单片机技术上下台阶和升降。该机器人在以上几个模块的协同配合下,能将货物安全、快速、准确地存放于货架上。与传统的人工分拣相比,该机器人使管理效率得到了显著提高,大大降低了人工成本和危险系数,在实现仓储物流的无人化管理方面具有广阔的发展空间与应用前景。
文摘Aiming at the problem of greenhouse environmental information collection in agricultural production,this paper designs a greenhouse monitoring system based on STM32 microcontroller.The system uses STM32F103 series MCU as the main control unit,which is used to receive the detection results of the sensor.The host computer software displays and processes the monitoring data.The temperature and humidity sensors monitor air temperature and humidity.The capacitive soil moisture detection sensor monitors soil moisture.The carbon dioxide sensor monitors the concentration of carbon dioxide.The photosensitive sensor monitors light intensity.This design has low hardware cost and high data acquisition accuracy,which can be applied to the actual greenhouse agricultural production and has wide practicability.
文摘Volatile organic compounds(VOC)gas detection devices based on semiconductor sensors have become a common method due to their low cost,simple principle,and small size.However,with the continuous development of materials science,various new materials have been applied in the fabrication of gas sensors,but these new materials have more stringent requirements for operating temperature,which cannot be met by existing sensor modules on the market.Therefore,this paper proposes a temperature-adjustable sensor module and designs an environmental monitoring system based on the STM32F103RET6 microprocessor.This system primarily utilizes multiple semiconductor gas sensors to monitor and record the concentrations of various harmful gases in different environments.It can also monitor real-time temperature,humidity,and latitude and longitude in the current environment,and upload the data to the Internet of Things via 4G communication.This system has the advantages of small size,portability,and low cost.Experimental results show that the sensor module can achieve precise control of operating temperature to a certain extent,with an average temperature error of approximately 3%.The monitoring system demonstrates a certain level of accuracy in detecting target gases and can promptly upload the data to a cloud platform for storage and processing.A comparison with professional testing equipment shows that the sensitivity curves of each sensor exhibit similarity.This study provides engineering and technical references for the application of VOC gas sensors.
基金supported by the National Key Technology R&D Program(2015BAK06B04)the Key Technologies R&D Program of Tianjin(14ZCZDSF00022,15ZXZNGX00260)the Scientific and Technological Achievements Transformation Cultivation Project of Tianjin University of Technology and Education(ZHPY1602)
文摘In allusion to the simplification phenomenon of the aquarium equipment on the market,aimed at reducing the labor intensity of the breeder,the intelligent aquatic animal box is designed based on embedded system,its core processor uses STM32F4 and combined with the wireless communication,data processing technology,implement multiple DC motor control. The system uses C language as a design language. and the keil is used as the development environment,and the STM32 library function version of the embedded application development and the STAG emulator are used to the core chip and then debug. The results show that the design can fully realize the function of highly intelligent animals aquarium.
基金This work is funded by King Saud University from Riyadh,Saudi Arabia.Project Number(RSP-2021/164),King Saud University,Riyadh,Saudi Arabia.https://ksu.edu.sa/.
文摘People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole hand.In this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy rates.For this purpose,smart gloves working in real time were designed.The data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart phone.Internally,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control System.The flex sensor generates a proportional change in resistance for each individual move.The processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view software.IDLG compares the input signal to memory-stored specified voltage values.The performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different people.In the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy.
文摘A pair of synchronous line-tracking robots based on STM 32 are designed.Each robot is actually a small intelligent car with seven reflective infrared photoelectric sensors ST 188 installed in the front to track the line.Two rear wheels each driven by a moter are the driving wheels,while each moter is driven by an H-bridge circuit.The running direction is controlled by the turning of a servo fastened to the front wheel and the adjustment of speed difference between the rear wheels.Besides,the light-adaptive line-tracking can be performed.The speeds of the motors are controlled by adjusting pulse-width modulation(PWM)values and an angular displacement transducer is used to detect the relative position of the cars in real time.Thus,the speeds of the cars can be adjusted in time so that the synchronism of the cars can be achieved.Through experiments,the fast and accurate synchronous tracking can be well realized.
