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With the continuous increase of industrialization and urbanization, water pollution has become a public health and safety issue. Traditional water pollution detection methods are not only time-consuming and labor-intensive, but also difficult to guarantee data accuracy. In order to solve these problems, the development of real-time water pollution detection technology has become a key research field in current water ecological and environmental protection. This article will introduce how to use PHP technology to achieve real-time water pollution detection.
Traditional water pollution detection methods include sampling, sample delivery and analysis, etc., which also takes a lot of time and Manpower and material resources. With the increase of human factors such as industrial pollution, water pollution changes very quickly, and this method cannot reflect the actual pollution of water bodies in a timely manner. Therefore, research on real-time water pollution detection technology has become a current issue that must be faced, and real-time detection technology can quickly reflect the situation of water pollution and ensure the safety of people's health and the ecological environment.
Real-time water pollution detection requires the use of a large number of sensors and instruments, which requires network communication based on Internet of Things technology . The main advantage of establishing a sensor network to detect water quality is that real-time monitoring information can be immediately transferred to the server and then stored in a cloud database. The development of the Internet of Things has made it easier and lowered the cost to implement real-time water pollution detection technology.
In order to implement real-time water pollution detection technology, a complete monitoring system needs to be developed. In this system, a network of sensors is responsible for capturing physical information and delivering the information back to a central server. The server analyzes and processes the information and displays the results on the user's Web interface. Here, we use PHP technology to develop the system.
(1) Selection of sensor network
For real-time water pollution monitoring system, it is very important to choose the appropriate sensor network. You can choose ordinary turbidity sensors, pH sensors, COD sensors, ammonia nitrogen sensors, etc. These sensors can sense the quality of the water body and feed the data back to the server.
(2) Implementation of network communication
Network communication is a key part of the entire system. The server connects the various sensors through the network and collects the information they collect. In PHP, we can use ajax technology to achieve this part. You can add a button to the interface. When the user clicks it, ajax will send an http request to the server to obtain sensor information. On the server side, you can connect to the sensor through serial port or wifi to obtain real-time detection data.
(3) Data processing and display
After the server collects sensor information, we need to process and analyze the data. Typically, this requires some charting and visualization tools on the server side to present quality data. For example, we can use charts, lines, and analysis tools to show the status of polluted water bodies.
Although real-time water pollution detection technology is a relatively new field, it can allow us to better monitor water quality conditions. Using sensors and Internet of Things technology, data can be quickly collected and transmitted, so the application of this technology plays a very important role in the protection of the water ecological environment and the safety of people's lives. At the same time, PHP represents a powerful tool to implement these technologies. Through the implementation of PHP technology, we can develop a complete monitoring system to help people ensure the safety of water quality.
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