基于飞腾派的低功耗水质监测与云端协同系统OA

Aiming at the industry pain points of traditional water quality monitoring equipment,such as high cost,redundant power con-sumption,weak data collaboration capability and insufficient scalability,this paper designs and implements a low-power water quality monitoring and cloud collaboration system based on Phytium Pi CEK8903.The system uses the fully localized Phytium Pi development board as the core control unit,integrates TS-200 pH sensor,TS-300B turbidity sensor and DS18B20 temperature sensor to build a per-ception network,and realizes hardware-level low-power optimization through Dynamic Voltage and Frequency Scaling(DVFS)technology.Locally,the software simulates I2C to drive the OLED display module,and realizes cross-device data interaction between Phytium Pi and Arduino through UART protocol,the cloud builds a front-end and back-end separation service based on Flask+Socket.IO architecture,and realizes full-link data synchronization of"edge device-cloud platform-user terminal"with the help of HTTP/Socket.IO dual protocols.The system supports plug-and-play expansion of sensors and hierarchical fault tolerance mechanism.Users can obtain re-al-time core parameters such as pH value,turbidity and water temperature through Web terminal(PC/mobile terminal)or local OLED screen,and trigger multi-level early warning when parameters are abnormal.Verified by 72-hour laboratory calibration and field simula-tion tests:standby power consumption is as low as 0.48W(only 1/10 of traditional equipment),the relative error of pH measurement is≤0.78%,the turbidity detection accuracy is±30 NTU,the full-link data transmission delay is≤1 second,and the data packet loss rate is<0.1%.The system breaks through the energy constraints and data island bottlenecks of long-term field monitoring,provides a low-cost and high-reliability nationalized solution for river water quality supervision,refined aquaculture management and industrial wastewater discharge monitoring,and has significant practical value.