Optimizing the control system of the organic fertilizer production line can be achieved through the following aspects:

1. Centralized management and decentralized control mode: The centralized management and decentralized control mode automatic control system with PLC as the core is mainly used in large-scale organic fertilizer production line projects. This system can monitor the operating status, failure causes, raw material temperature and raw material humidity of various organic fertilizer equipment in real time in the central control room.

2. Electrical design optimization: In terms of electrical design, the power supply of each part is set up short circuit, overload and other protection devices to ensure the safe and stable operation of the equipment. At the same time, all the lines are installed in the wiring slot or wire tube, the cabinet in the central control room is selected as the distribution control center, and the protection level of the cabinet is not less than IP31.

3. Innovative design of energy-saving granulator: The development of a new type of organic fertilizer granulator, the equipment is equipped with solar modules at the top of the granulation box, the use of solar modules to convert light energy into electrical energy to transport to the battery, the battery to the motor to transport electrical energy, thus saving energy, to achieve green environmental protection.

4. Energy saving acquisition of sensor information systems: In the sensor network, energy consumption is reduced and the working time of the sensor system is extended by optimizing the frequency of data acquisition and implementing effective energy management strategies. For example, the adaptive sampling rate adjustment strategy is used to adjust the data acquisition frequency according to environmental changes to avoid unnecessary energy waste.

5. Application of intelligent control system: Intelligent control system and its application can improve the automation level of organic fertilizer production line, and achieve more accurate operation and monitoring through direct forward model establishment, inverse model establishment and control in the system.