The implementation of the sheep disease prevention and control decision system, in order to narrow the comparison scope of the decision and reduce the data scale, is expanded on the basis of the optimization graphic judgment method. In the process of sheep disease prevention and control, it is very important to use sheep B-ultrasound for inspection and screening.

After using sheep B-ultrasound and other instruments for inspection, the sheep diseases and symptoms are further divided into multiple types, that is, two data structures of "disease type" and "symptom type" are added. For each type of disease, a symptom set that can be used for decision-making is specified. When creating a decision for this type of disease, which is actually a series of symptom number sequences, only the symptoms in the available symptom set can be used to create a decision for this type of disease. Without the specified symptoms, this type of disease cannot be used to create a decision. A symptom can be assigned to multiple disease types. If it is not assigned to any disease type, it actually becomes a useless symptom. Of course, an inclusion relationship between "disease type" and "symptom" will be added at the same time. Decisions can also be made based on the results of sheep B-ultrasound examinations.

When making a decision, just like when you go to an animal hospital to see a doctor, you must first determine the department you should visit based on the actual condition. First, the user preliminarily specifies the type of sheep disease for which a decision is to be requested, and then a list of available symptom sets for this type is generated for the user to choose from. After the user selects the actual symptoms and submits the decision request, only the decision records of this type of disease are searched for the same or similar results and returned to the user. If a sheep B-ultrasound examination is performed, the existing cases of sheep B-ultrasound examination will be searched.

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