66 lines
3.5 KiB
Markdown
66 lines
3.5 KiB
Markdown
## **Gardeners Green Thumb Decision Support System** (GGD-DDS)
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An open source rule engine, GGD engine and complex event processing (CEP) engine for Java™ and the JVM Platform.
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Drools is a business rule management system with a forward-chaining and backward-chaining inference based rules engine, allowing fast and reliable evaluation of rules and complex event processing.
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A rule engine is also a fundamental building block to create an expert system which, in artificial intelligence, is a computer system that emulates the decision-making ability of a human expert.
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Putting all of this together, a decision support system is designed with the help of drools library which is used in the project.
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The service of decision support system is inferring knowledge from the available data of the greenhouse, the user input, and historical data what a user/the gardener should do.
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The inferred knowledge derived from the algorithm are presented to the gardener where an action is taken.
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These actions can be presented as goals where each goal is offered to other services of the system (partners).
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The approach of the DSS is based on three eu.hsrw.ias.ggd.MainExe concepts:
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###**Facts Knowledgesession,and Knowledgebase**
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***Facts are nothing but plain old java objects (POJO) that represents the data which serves as input for rules.***
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***Knowledgesession :This component holds all the resources required for firing rule.
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Here, all facts are inserted into the single session, and then matching rules are fired.***
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***KnowledgeBase is an interface which manages a collection of knowledge definitions like rules.
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Knowledge packages are created by grouping knowledge definition.***
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Since the creation of Knowledge packages is very expensive, KnowledgeBase stores and reuse them.
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Knowledge Sessions are created from KnowledgeBase, which consumes less memory.
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KnowledgeBase keeps track of each Knowledge Session, so that updates to knowledge base can be applied to all the session at run time.
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Another advantage of KnowledgeBase is that, it is completely serializable.
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We can restore serializable object of KnowledgeBase rather creating a new one.
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In the following case StatefulKnowledgeSession are used.
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So facts are inserted first and stored to KnowledgeSession where it is latter on provided to Knowledgebase.
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###**Rules (General structure, if premises then consequence)**
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1. Rules are given explicitly by the expert. The list of rules created for this project are:
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1. Battery
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2. Dielectric Permittivity
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3. Precipitation
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4. Soil Conductivity
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5. Soil Moisture
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6. Soil Temperature
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7. Temperature
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2. One particular rule can be fired or multiple rules can be fired at the same time.
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###**Goals (Rule Outcome)**
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1. Goals are active rules which are able to change the value of the fact.
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2. Goals can be activated and deactivated based on the user preferences
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### **Build**
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1. Go to Build and build project in order to index all the dependecies required.
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2. Run the *MainExe.java* which is part of the src/main/java/eu.hsrw.ias.ggd package
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### **Usage**
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You can reuse the project by changing the UserCredentials.java file located on the Credentials package.
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It is possible to create new rules tailored to the needs of the use case scenario.
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### **Examples**
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For each sensor mentioned in the list of rules(src/main/resources/rules) an example is given.
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You may change the values based on the needs of the expert/user.
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### **Dependencies**
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org.drools version 7.48
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org.slf4j version 1.7.30
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com.google.code.gson 2.8.6
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