C Practice of data collection and processing functions in embedded system development
Abstract: Embedded system development has relatively high requirements for data collection and processing functions in practical applications. high. Through an example, this article shows how to use C language to implement data acquisition and processing functions in embedded systems. The specific implementation plan and code examples will be introduced in detail below.
#include <sensor.h> class SensorDriver { public: SensorDriver(); ~SensorDriver(); float readTemperature(); float readHumidity(); private: Sensor* sensor; }; SensorDriver::SensorDriver() { sensor = new Sensor(); } SensorDriver::~SensorDriver() { delete sensor; } float SensorDriver::readTemperature() { return sensor->readTemperature(); } float SensorDriver::readHumidity() { return sensor->readHumidity(); }
In the above code, we created a class named SensorDriver, which encapsulates the reading function of the sensor. Real-time temperature and humidity data can be obtained through the readTemperature() and readHumidity() functions.
3.2 Data Storage
Next, we need to store the collected data for subsequent processing. The following is a simplified pseudocode example:
#include <iostream> #include <fstream> class DataStorage { public: DataStorage(); ~DataStorage(); void storeData(float temperature, float humidity); private: std::ofstream file; }; DataStorage::DataStorage() { file.open("data.txt", std::ofstream::app); } DataStorage::~DataStorage() { file.close(); } void DataStorage::storeData(float temperature, float humidity) { file << "Temperature: " << temperature << ", Humidity: " << humidity << std::endl; }
In the above code, we created a class named DataStorage, which is responsible for storing the collected data into files. Use the storeData() function to write real-time temperature and humidity data to the data.txt file.
#include <vector> class DataAnalyzer { public: DataAnalyzer(); ~DataAnalyzer(); void analyzeData(std::vector<float> temperatures, std::vector<float> humidities); private: // 数据分析相关的成员变量和函数 }; DataAnalyzer::DataAnalyzer() { // 初始化成员变量 } DataAnalyzer::~DataAnalyzer() { // 释放资源 } void DataAnalyzer::analyzeData(std::vector<float> temperatures, std::vector<float> humidities) { // 数据分析逻辑 }
In the above code, we created a class called DataAnalyzer, which is responsible for analyzing the collected temperature and humidity data. Through the analyzeData() function, you can get the corresponding analysis results.
int main() { SensorDriver sensorDriver; DataStorage dataStorage; DataAnalyzer dataAnalyzer; while (true) { // 读取温湿度数据 float temperature = sensorDriver.readTemperature(); float humidity = sensorDriver.readHumidity(); // 存储温湿度数据 dataStorage.storeData(temperature, humidity); // 在一定时间间隔后进行数据分析 // ... // 数据分析 dataAnalyzer.analyzeData(temperatures, humidities); } return 0; }
In the above code, we created instances of SensorDriver, DataStorage and DataAnalyzer in the main() function, and then continuously read the temperature and humidity data through a loop, and perform storage and analysis.
Reference:
[1] C Reference. (n.d.). C Reference Home. Retrieved from http://www.cplusplus.com/
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