💖💖作者：计算机编程小咖 💙💙个人简介：曾长期从事计算机专业培训教学，本人也热爱上课教学，语言擅长Java、微信小程序、Python、Golang、安卓Android等，开发项目包括大数据、深度学习、网站、小程序、安卓、算法。平常会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。平常喜欢分享一些自己开发中遇到的问题的解决办法，也喜欢交流技术，大家有技术代码这一块的问题可以问我！ 💛💛想说的话：感谢大家的关注与支持！ 💜💜 网站实战项目 安卓/小程序实战项目 大数据实战项目 深度学习实战项目
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基于大数据的老旧小区改造需求评估与分析系统介绍
基于大数据的老旧小区改造需求评估与分析系统是一个专门针对城市老旧小区改造需求进行科学评估和数据分析的综合性管理平台。该系统采用Java开发语言，后端基于SpringBoot框架（集成Spring+SpringMVC+MyBatis）构建，前端使用Vue+ElementUI技术栈打造现代化用户界面，数据库采用MySQL进行数据存储管理，整体采用B/S架构模式，确保系统的稳定性和可扩展性。系统主要功能模块包括系统首页展示、群众信息管理、新闻政策发布、改造需求收集与分析、留言反馈处理、系统管理维护、系统简介展示、菜单列表管理、轮播图管理以及个人中心等核心功能。通过大数据技术对老旧小区的基础设施状况、居民需求、改造优先级等多维度数据进行深度挖掘和智能分析，为政府部门和相关机构提供科学的决策支持。系统能够实现对改造需求的量化评估，通过数据可视化技术直观展现分析结果，帮助管理者更好地了解各个小区的实际改造需求和紧迫程度，从而制定更加精准有效的改造计划和资源配置方案，提升老旧小区改造工作的科学性和有效性。
基于大数据的老旧小区改造需求评估与分析系统演示视频
基于大数据的老旧小区改造需求评估与分析系统演示图片
基于大数据的老旧小区改造需求评估与分析系统代码展示
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.springframework.web.bind.annotation.*;
import org.springframework.beans.factory.annotation.Autowired;
import java.util.*;
@RestController
@RequestMapping("/renovation")
public class RenovationController {
@Autowired
private RenovationService renovationService;
private SparkSession spark = SparkSession.builder().appName("OldCommunityRenovationAnalysis").master("local[*]").getOrCreate();
@PostMapping("/evaluateNeeds")
public Map<String, Object> evaluateRenovationNeeds(@RequestBody Map<String, Object> communityData) {
Map<String, Object> result = new HashMap<>();
try {
Dataset<Row> communityDataset = spark.createDataFrame(Arrays.asList(communityData), Map.class);
Dataset<Row> analysisResult = communityDataset.select("buildingAge", "infrastructureScore", "residentComplaintCount", "facilityCompleteness");
Row firstRow = analysisResult.first();
int buildingAge = firstRow.getAs("buildingAge");
double infrastructureScore = firstRow.getAs("infrastructureScore");
int complaintCount = firstRow.getAs("residentComplaintCount");
double facilityScore = firstRow.getAs("facilityCompleteness");
double renovationScore = calculateRenovationPriority(buildingAge, infrastructureScore, complaintCount, facilityScore);
String renovationLevel = determineRenovationLevel(renovationScore);
List<String> renovationSuggestions = generateRenovationSuggestions(buildingAge, infrastructureScore, facilityScore);
Map<String, Object> evaluationData = new HashMap<>();
evaluationData.put("communityId", communityData.get("communityId"));
evaluationData.put("renovationScore", renovationScore);
evaluationData.put("renovationLevel", renovationLevel);
evaluationData.put("suggestions", renovationSuggestions);
evaluationData.put("evaluationDate", new Date());
renovationService.saveEvaluationResult(evaluationData);
result.put("success", true);
result.put("renovationScore", renovationScore);
result.put("renovationLevel", renovationLevel);
result.put("suggestions", renovationSuggestions);
result.put("message", "改造需求评估完成");
} catch (Exception e) {
result.put("success", false);
result.put("message", "评估过程中发生错误：" + e.getMessage());
}
return result;
}
@PostMapping("/collectFeedback")
public Map<String, Object> collectResidentFeedback(@RequestBody Map<String, Object> feedbackData) {
Map<String, Object> result = new HashMap<>();
try {
String communityId = (String) feedbackData.get("communityId");
String residentName = (String) feedbackData.get("residentName");
String feedbackContent = (String) feedbackData.get("content");
String feedbackType = (String) feedbackData.get("type");
int urgencyLevel = (Integer) feedbackData.get("urgencyLevel");
Dataset<Row> feedbackDataset = spark.createDataFrame(Arrays.asList(feedbackData), Map.class);
Dataset<Row> processedFeedback = feedbackDataset.select("communityId", "type", "urgencyLevel", "content");
String processedContent = processFeedbackContent(feedbackContent);
String feedbackCategory = categorizeFeedback(feedbackContent, feedbackType);
boolean isValidFeedback = validateFeedbackData(residentName, feedbackContent, communityId);
if (!isValidFeedback) {
result.put("success", false);
result.put("message", "反馈信息不完整或格式错误");
return result;
}
Map<String, Object> feedbackRecord = new HashMap<>();
feedbackRecord.put("communityId", communityId);
feedbackRecord.put("residentName", residentName);
feedbackRecord.put("originalContent", feedbackContent);
feedbackRecord.put("processedContent", processedContent);
feedbackRecord.put("feedbackType", feedbackType);
feedbackRecord.put("category", feedbackCategory);
feedbackRecord.put("urgencyLevel", urgencyLevel);
feedbackRecord.put("status", "待处理");
feedbackRecord.put("submitTime", new Date());
renovationService.saveFeedbackRecord(feedbackRecord);
updateCommunityFeedbackStats(communityId, feedbackCategory, urgencyLevel);
result.put("success", true);
result.put("feedbackId", generateFeedbackId());
result.put("category", feedbackCategory);
result.put("message", "居民反馈收集成功");
} catch (Exception e) {
result.put("success", false);
result.put("message", "反馈收集过程中发生错误：" + e.getMessage());
}
return result;
}
@PostMapping("/managePolicy")
public Map<String, Object> managePolicyNews(@RequestBody Map<String, Object> policyData) {
Map<String, Object> result = new HashMap<>();
try {
String policyTitle = (String) policyData.get("title");
String policyContent = (String) policyData.get("content");
String policyType = (String) policyData.get("type");
String targetAudience = (String) policyData.get("targetAudience");
Date publishDate = (Date) policyData.get("publishDate");
Dataset<Row> policyDataset = spark.createDataFrame(Arrays.asList(policyData), Map.class);
Dataset<Row> analyzedPolicy = policyDataset.select("title", "type", "targetAudience");
String policyCategory = categorizePolicyContent(policyContent, policyType);
List<String> keyWords = extractPolicyKeywords(policyContent);
int priorityLevel = calculatePolicyPriority(policyType, targetAudience);
boolean isValidPolicy = validatePolicyData(policyTitle, policyContent, policyType);
if (!isValidPolicy) {
result.put("success", false);
result.put("message", "政策信息不完整或格式不符合要求");
return result;
}
String formattedContent = formatPolicyContent(policyContent);
Map<String, Object> policyRecord = new HashMap<>();
policyRecord.put("title", policyTitle);
policyRecord.put("originalContent", policyContent);
policyRecord.put("formattedContent", formattedContent);
policyRecord.put("type", policyType);
policyRecord.put("category", policyCategory);
policyRecord.put("keyWords", keyWords);
policyRecord.put("targetAudience", targetAudience);
policyRecord.put("priorityLevel", priorityLevel);
policyRecord.put("publishDate", publishDate);
policyRecord.put("status", "已发布");
policyRecord.put("viewCount", 0);
renovationService.savePolicyRecord(policyRecord);
updatePolicyStatistics(policyCategory, policyType);
result.put("success", true);
result.put("policyId", generatePolicyId());
result.put("category", policyCategory);
result.put("keyWords", keyWords);
result.put("priorityLevel", priorityLevel);
result.put("message", "政策新闻管理操作完成");
} catch (Exception e) {
result.put("success", false);
result.put("message", "政策管理过程中发生错误：" + e.getMessage());
}
return result;
}
private double calculateRenovationPriority(int buildingAge, double infrastructureScore, int complaintCount, double facilityScore) {
double ageWeight = 0.3;
double infraWeight = 0.25;
double complaintWeight = 0.25;
double facilityWeight = 0.2;
double ageScore = Math.min(buildingAge / 30.0, 1.0) * 100;
double infraScore = (10 - infrastructureScore) * 10;
double complaintScore = Math.min(complaintCount / 10.0, 1.0) * 100;
double facilityNeedScore = (10 - facilityScore) * 10;
return ageScore * ageWeight + infraScore * infraWeight + complaintScore * complaintWeight + facilityNeedScore * facilityWeight;
}
private String determineRenovationLevel(double score) {
if (score >= 80) return "急需改造";
else if (score >= 60) return "需要改造";
else if (score >= 40) return "建议改造";
else return "暂不需要改造";
}
private List<String> generateRenovationSuggestions(int buildingAge, double infrastructureScore, double facilityScore) {
List<String> suggestions = new ArrayList<>();
if (buildingAge > 25) suggestions.add("建议更新老化的供水供电管线");
if (infrastructureScore < 5) suggestions.add("加强基础设施维护和更新");
if (facilityScore < 6) suggestions.add("完善小区配套设施建设");
suggestions.add("改善小区绿化环境");
suggestions.add("增设无障碍通道设施");
return suggestions;
}
private String processFeedbackContent(String content) {
return content.trim().replaceAll("[^\\u4e00-\\u9fa5\\w\\s]", "").substring(0, Math.min(content.length(), 500));
}
private String categorizeFeedback(String content, String type) {
if (content.contains("水电") || content.contains("管线")) return "基础设施";
else if (content.contains("停车") || content.contains("车位")) return "停车问题";
else if (content.contains("绿化") || content.contains("环境")) return "环境绿化";
else if (type.equals("建议")) return "改造建议";
else return "其他问题";
}
private boolean validateFeedbackData(String name, String content, String communityId) {
return name != null && !name.trim().isEmpty() && content != null && content.length() >= 10 && communityId != null;
}
private void updateCommunityFeedbackStats(String communityId, String category, int urgencyLevel) {
renovationService.incrementFeedbackCount(communityId, category, urgencyLevel);
}
private String generateFeedbackId() {
return "FB" + System.currentTimeMillis() + (int)(Math.random() * 1000);
}
private String categorizePolicyContent(String content, String type) {
if (content.contains("资金") || content.contains("补贴")) return "资金政策";
else if (content.contains("改造标准") || content.contains("技术")) return "技术标准";
else if (content.contains("申请") || content.contains("流程")) return "申请流程";
else if (type.equals("通知")) return "政策通知";
else return "综合政策";
}
private List<String> extractPolicyKeywords(String content) {
List<String> keywords = new ArrayList<>();
String[] commonKeywords = {"老旧小区", "改造", "资金", "申请", "标准", "流程", "补贴", "居民"};
for (String keyword : commonKeywords) {
if (content.contains(keyword)) keywords.add(keyword);
}
return keywords;
}
private int calculatePolicyPriority(String type, String audience) {
int basePriority = 1;
if ("紧急通知".equals(type)) basePriority = 5;
else if ("重要政策".equals(type)) basePriority = 4;
else if ("一般通知".equals(type)) basePriority = 2;
if ("全体居民".equals(audience)) basePriority += 1;
return Math.min(basePriority, 5);
}
private boolean validatePolicyData(String title, String content, String type) {
return title != null && title.length() >= 5 && content != null && content.length() >= 20 && type != null;
}
private String formatPolicyContent(String content) {
return content.replaceAll("\\s+", " ").trim();
}
private void updatePolicyStatistics(String category, String type) {
renovationService.updatePolicyStats(category, type);
}
private String generatePolicyId() {
return "POL" + System.currentTimeMillis() + (int)(Math.random() * 1000);
}
}
基于大数据的老旧小区改造需求评估与分析系统文档展示
💖💖作者：计算机编程小咖 💙💙个人简介：曾长期从事计算机专业培训教学，本人也热爱上课教学，语言擅长Java、微信小程序、Python、Golang、安卓Android等，开发项目包括大数据、深度学习、网站、小程序、安卓、算法。平常会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。平常喜欢分享一些自己开发中遇到的问题的解决办法，也喜欢交流技术，大家有技术代码这一块的问题可以问我！ 💛💛想说的话：感谢大家的关注与支持！ 💜💜 网站实战项目 安卓/小程序实战项目 大数据实战项目 深度学习实战项目
