基于ESP32芯片的可穿戴式云端存储辐射检测剂量计设计与研发OA

Objective:To design a ESP32 chip-based wearable radiation detection dosimeter with cloud storage,so as to overcome issues includes poor real-time capability,data lag and lack of instant warnings that exists in monitoring of conventional films of radiation dose,and to realize real-time monitoring and intelligent management for individual radiation dose of working personnel who are exposure to medical radiation.Methods:The ESP32 chip was adopted as the chip of main controller,and J705 metal Geiger-Müller tube was integrated as the detector.The display module comprised a high-voltage generation circuit,a circuit for signal acquisition and shaping,and a 0.96-inch organic light emitting diodes(OLED).The radiation data were uploaded to cloud via the Message Queuing Telemetry Transport(MQTT)protocol by using Wi-Fi.A web server was utilized for data visualization,historical traceability,and intelligent alarm.The following tests were conducted:the stability of the high-voltage power supply of the J705 Geiger-Müller tube,the stability of measured values from acquired 10 times of pulse signal,the linear correlation of dose rate of Cesium-137(137Cs)and the stability of counts per minute(CPM)acquisition when the distance between 137Cs source and detector was 10 cm,and the success rate of 1000 times of the data of network transmissions in a simulated complex Wi-Fi environment of hospital.Results:The tested results indicated the voltage fluctuation ranged from 495 to 505 V when the high-voltage power supply operated continuously 8 hours,and the stability was±1%.The average value of the acquired 10 times of pulse signals was 52,with a maximum fluctuation rate(relative error)of 5.8%,which indicated favorable stability of acquisition.The measured dose rate ranged from 0.5 to 8 μSv/h when the distance between the 137Cs source and detector ranged from 10 to 100 cm,which displayed favorable linearity(R2=0.998).The average value of CPM was 52.3±2.8,with a relative standard deviation of 5.4%,which indicated a favorable stability.The success rate of the tested 1000 times of data transmissions of network was 98.7%,with an average latency<200 ms,which indicated favorable reliability of network transmission.Conclusion:The designed wearable radiation detection dosimeter with cloud storage can achieve real-time,networked,and intelligent monitoring for radiation.It features a small volume,low power consumption,and traceability of data,which can provide an innovatively intelligent management in monitoring to individual dose in prevention and protection for medical radiation.