Application of Expert System in Intelligent Management System of Grain Depot
Abstract
The application of expert system in the intelligent management system of grain depot can effectively help enterprises make scientific decisions, reduce the cost of grain storage, and improve the efficiency of grain storage. In this paper, the application of expert system in the intelligent management system of grain depot is introduced from the aspects of the working principle of expert system, its advantages and the application examples of grain depot.
Keywords: Expert system; Intelligent management; Grain Depot
1 Introduction
In recent years, with the rapid development of artificial intelligence (AI) technology, intelligent systems have been widely applied in various industries. Among them, expert system (ES) has attracted more attention, and its development is quite rapid. It has been widely used in decision-making, customer service, medical diagnosis, securities trading and other fields due to its advantages of reducing uncertainty and increasing the efficiency of decision-making. The application of ES in grain depot is increasingly becoming the focus of grain management. Through the application of ES in intelligent management system of grain depot, grain storage enterprises can effectively reduce the cost of grain storage and improve the efficiency of grain storage.
2 The Main Working Principles of Expert System
The expert system is a system which integrates the knowledge of experts by using AI technology, and which is able to make decisions like an experienced expert. It is composed of 3 important components, the knowledge base, inference engine and user interface. The knowledge base contains the knowledge expert, which is the basis for the system to apply its knowledge. The inference engine is the core part of the expert system, which uses the rules of logical deduction to make decisions. The user interface is the part that interacts with the user, which is usually composed of tabs, menus and dialogue boxes.
3 Advantages of Expert System
The expert system has many advantages, including logical inference, fast calculation speed and automatic optimization.
The core of ES is the logical inference system, which can effectively simulate the human reasoning process to make decisions.
The supercomputer simulates the experts reasoning process through logical inference, and the operation speed is much faster than that of human beings. Therefore, the application of expert system can greatly improve the efficiency of decision-making.
The expert system can also automatically optimize the rules of deduction, which is beneficial to the long-term development of the enterprise.
4 Application Examples of Expert System in the Intelligent Management System of Grain Depot
The application of expert system in the intelligent management system of the grain depot can effectively reduce the cost of grain storage and improve the efficiency of grain storage.
One use case of ES in the intelligent management system of the grain depot is the application of automated humidity monitoring system. This system can automatically monitor the humidity changes of the grain in the storage, identify the location of damp grain, and issue an alert when the humidity is beyond the set range. The use of automated moisture monitoring system can effectively reduce the cost of grain storage and reduce the loss of grain due to dampness.
Another example is the application of ES in the automatic yield calculation of grain depot. The ES can automatically calculate the yield of a warehouse based on the warehouse data, thus helping to improve the accuracy of the calculation.
In addition, ES can also be used in the automatic testing of grain defects. Through the application of ES, the system can automatically identify the defects of grain particle, reduce the influence of equipment failure, and improve the accuracy of grain defect testing.
5 Conclusion
The application of expert system in the intelligent management system of the grain depot can effectively help grain storage enterprises reduce the cost of grain storage and improve the efficiency of grain storage. The application of ES can help grain storage enterprises to make scientific decisions and reduce the risk. With the development of AI technology, ES will have more application scenarios in the intelligent management system of grain depot.
