of the system is as follows: the types of sensor data include digital signal, analog DC signal, analog time domain signal, analog frequency domain signal, ground signal, floating signal, and the acquisition includes serial port, wireless, wired, RS485, etc. The current project uses the sensor It is necessary to consider the characteristics of convenient and long-term power supply, quick and simple deployment, etc. Therefore, battery power supply and wireless data transmission are used. At the same time, in order to save costs, different adjacent sensors will form a ZigBee sensor network, and ZigBee intelligent gateway will transmit data through wireless local area network. back to the system. A very small number of sensors use a fixed location and power supply, such as sensors for fans, pumps and other equipment. In order to save investment costs and advance the work step by step, in terms of the setting and selection of wireless sensor data collection, it is necessary to reserve data interfaces for subsequent sensors. If the demonstration effect in this period is good, sensors such as gas concentration inspection will be added later. Dynamic Data Rules
There may be a lot of sensor data, and the format of the data is uncertain, and the technical parameters are not clear. In order to standardize the data for the scalability of the subsequent system, the project will standardize the options of the sensor, such as supporting ZigBee network or direct wireless transmission, data format Can be converted from binary to relatively standard characters. For example, the data to be sent by the temperature sensor needs to include basic data such as the unified identification of the sensor, time, and temperature. Then with the access of different sensors, it is very necessary to formulate a standard data format. What rules are used to interpret after receiving binary data, what attributes are read, what is the name of the rules, how many parameters are there, etc. are all part of the dynamic rules. . In order to better isolate the changed content, the system uses the Visual Rules rule engine to encapsulate the rules. Binary data will be passed directly into the rules engine.
There are many sensors used in the alarm rule
project, most of which require power supply. In order to make deployment more convenient, many sensors are powered by batteries or electronics, which often encounters the problem of power outage. The data will not be uploaded to the system again, so there is no way to talk about the subsequent data analysis. Then the alarm function of the sensor is very important. The alarm methods of low battery are very different. Some sensors can send low battery signals, but more sensors will not transmit signals directly. The alarm rules can be known according to the received alarm signals. Alarm, it can also analyze the time when the data stops sending to determine the power outage, and use the power consumption information in the factory parameters to know the working status of the sensor in time. Taking into account the scalability of the system, these rules are maintained by the Visual Rules rule engine.
Data analysis
In this project, the data collected by the sensor needs to be analyzed, and the BI system can be used to make various charts efficiently. It greatly simplifies the difficulty of data analysis and realizes a dynamic understanding of the farmland environment.