java Neo4j 实现设备出现故障匹配解决方案,并且计算每个方案相应概率的示例代码?
时间: 2024-01-21 15:17:46 浏览: 64
基于Neo4j图数据库+JAVA实现的知识图谱和策略构建智能问答引擎+源代码+文档说明
下面是一个简单的示例代码,其中使用了Java和Neo4j图数据库来实现设备故障匹配解决方案。该代码假设您已经熟悉Java和Neo4j,并且已经安装并配置了Neo4j图数据库。该代码主要分为以下几个部分:
1.建立数据库连接
2.创建节点和关系
3.查询并匹配故障
4.计算每个解决方案的概率
```java
import org.neo4j.driver.AuthTokens;
import org.neo4j.driver.Driver;
import org.neo4j.driver.GraphDatabase;
import org.neo4j.driver.Session;
import org.neo4j.driver.Transaction;
import org.neo4j.driver.TransactionWork;
import org.neo4j.driver.Value;
import org.neo4j.driver.types.Node;
import org.neo4j.driver.types.Relationship;
public class Neo4jExample {
public static void main(String[] args) {
// 建立数据库连接
Driver driver = GraphDatabase.driver("bolt://localhost:7687", AuthTokens.basic("neo4j", "password"));
try (Session session = driver.session()) {
// 创建节点和关系
session.writeTransaction(new TransactionWork<Void>() {
@Override
public Void execute(Transaction tx) {
// 创建设备节点
tx.run("CREATE (:Device {name: 'Device1'})");
tx.run("CREATE (:Device {name: 'Device2'})");
// 创建故障节点
tx.run("CREATE (:Fault {name: 'Fault1', description: 'Fault1 description'})");
tx.run("CREATE (:Fault {name: 'Fault2', description: 'Fault2 description'})");
// 创建解决方案节点
tx.run("CREATE (:Solution {name: 'Solution1', description: 'Solution1 description'})");
tx.run("CREATE (:Solution {name: 'Solution2', description: 'Solution2 description'})");
// 创建设备和故障之间的关系
tx.run("MATCH (d:Device {name: 'Device1'}), (f:Fault {name: 'Fault1'}) CREATE (d)-[:HAS_FAULT]->(f)");
tx.run("MATCH (d:Device {name: 'Device2'}), (f:Fault {name: 'Fault2'}) CREATE (d)-[:HAS_FAULT]->(f)");
// 创建故障和解决方案之间的关系
tx.run("MATCH (f:Fault {name: 'Fault1'}), (s:Solution {name: 'Solution1'}) CREATE (f)-[:HAS_SOLUTION]->(s)");
tx.run("MATCH (f:Fault {name: 'Fault2'}), (s:Solution {name: 'Solution2'}) CREATE (f)-[:HAS_SOLUTION]->(s)");
return null;
}
});
// 查询并匹配故障
String deviceName = "Device1";
String faultName = session.readTransaction(new TransactionWork<String>() {
@Override
public String execute(Transaction tx) {
Node device = tx.run("MATCH (d:Device {name: $deviceName})-[:HAS_FAULT]->(f:Fault) RETURN f", Value
.parameters("deviceName", deviceName)).single().get("f").asNode();
return device.get("name").asString();
}
});
System.out.println("Device " + deviceName + " has fault " + faultName);
// 计算每个解决方案的概率
session.readTransaction(new TransactionWork<Void>() {
@Override
public Void execute(Transaction tx) {
Node fault = tx.run("MATCH (d:Device {name: $deviceName})-[:HAS_FAULT]->(f:Fault) RETURN f", Value
.parameters("deviceName", deviceName)).single().get("f").asNode();
Iterable<Relationship> solutions = fault.getRelationships(org.neo4j.driver.v1.Direction.OUTGOING,
RelationshipType.withName("HAS_SOLUTION"));
double totalProbability = 0;
for (Relationship solution : solutions) {
Node solutionNode = solution.getEndNode();
double probability = solutionNode.get("probability").asDouble();
System.out.println("Solution " + solutionNode.get("name").asString() + " has probability "
+ probability);
totalProbability += probability;
}
System.out.println("Total probability for device " + deviceName + " is " + totalProbability);
return null;
}
});
} finally {
// 关闭数据库连接
driver.close();
}
}
}
```
以上示例代码仅提供了一个简单的示例,实际情况可能更加复杂。您可能需要根据您的实际需求进行修改和调整。
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