Design and Implementation of a Cultural Heritage Preservation System Using Java
Technology Stack
Backend Based on Spring Boot
Spring Boot streamlines application development by leveraging the Spring framework with a convention-over-configuration approach. It supplies sensible defaults so developers can prioritize core functionality over boilerplate configuration. Automatic setup detects project dependencies and applies appropriate settings with out manual XML or annotation-heavy files. Builds rely on Maven or Gradle for dependency resolution and task automation. Developers often start from Spring Initializr to scaffold projects and select required modules. This reduces operational friction and accelerates delivery cycles.
Frontend Powered by Vue.js
Vue.js emphasizes simplicity and approachability for building reactive interfaces. Its declarative rendering model and component-based architecture enable clear separation of concerns. Two-way data binding via directives like v-model keeps view and state synchronized automatically, eliminating tedious DOM manipulations. Lifecycle hooks give grenular control during component creation, mounting, updating, and destruction phases, facilitating advanced behaviors with minimal effort.
Feasibility Considerations
Assessing viability ensures alignment between system goals and practical constraints. Technical feasibility is confirmed through mature Java ecosystem support and tooling. Economic viability weighs projected benefits—such as reduced manual processing and improved asset tracking—against development and maintenance costs. Operational feasibility focuses on intuitive workflows for end users, ensuring adoption without steep learning curves. The system targets reduction of administrative overhead while enhancing accuracy and accessibility of cultural artifact records.
System Testing Strategy
Testing validates functional integrity and user experience across scenarios. The primary aim is early detection of defects to align delivered behavior with specifications. Functional verification employs black-box techniques: boundary value checks, mandatory field validation, and role-based access tests. Each test case defines input, expected outcome, observed result, and analysis.
Sample Login Tests
| Input Data | Expected Outcome | Observed Result | Analysis |
|---|---|---|---|
User: curator Pass: pwd123 Captcha: correct |
Access granted | Granted | Matches expectation |
User: curator Pass: wrong Captcha: correct |
Authentication failure | Failure message shown | Matches expectation |
User: curator Pass: pwd123 Captcha: incorrect |
Captcha error | Error displayed | Matches expectation |
User: (empty) Pass: pwd123 Captcha: correct |
Username required | Prompt shown | Matches expectation |
User: curator Pass: (empty) Captcha: correct |
Password required | Prompt shown | Matches expectation |
Sample User Management Tests
| Input Data | Expected Outcome | Observed Result | Analysis |
|---|---|---|---|
| Complete user form | Record added and visible in list | Present in list | Matches expectation |
| Modify existing record | Updates reflected instantly | Changes visible | Matches expectation |
| Select delete action | Confirmation then removal | Record absent after confirmation | Matches expectation |
| Omit username field | Validation blocks submission | Required field warning | Matches expectation |
| Reuse existing username | Duplicate prevention triggered | Duplicate warning shown | Matches expectation |
Database Schema Design
CREATE TABLE heritage_item (
item_id BIGINT AUTO_INCREMENT PRIMARY KEY,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
catalog_code VARCHAR(64),
name VARCHAR(128),
description TEXT,
preservation_status VARCHAR(32),
registered_by VARCHAR(64),
contact_number VARCHAR(20)
);
CREATE TABLE patron (
patron_id BIGINT AUTO_INCREMENT PRIMARY KEY,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
login_name VARCHAR(200) NOT NULL UNIQUE,
secret_hash VARCHAR(200) NOT NULL,
full_name VARCHAR(200),
gender VARCHAR(10),
avatar_path VARCHAR(200),
phone VARCHAR(20),
id_card VARCHAR(30)
);
CREATE TABLE feedback (
note_id BIGINT AUTO_INCREMENT PRIMARY KEY,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
submitter_id BIGINT NOT NULL,
submitter_name VARCHAR(200),
message_body LONGTEXT NOT NULL,
reply_text LONGTEXT
);
Example Code Implementation
@RestController
@RequestMapping("/api/util")
public class UtilityController {
private final ConfigRepository configRepo;
private final GeoService geoService;
public UtilityController(ConfigRepository cfgRepo, GeoService gs) {
this.configRepo = cfgRepo;
this.geoService = gs;
}
@GetMapping("/locate")
public ResponseEntity<?> resolveLocation(@RequestParam String longitude,
@RequestParam String latitude) {
String apiKey = configRepo.findByKey("baidu_map_key")
.map(ConfigEntry::getValue)
.orElseThrow(() -> new ResponseStatusException(HttpStatus.BAD_REQUEST, "Missing API key"));
Map<String, String> cityData = geoService.fetchCity(apiKey, longitude, latitude);
return ResponseEntity.ok(cityData);
}
@PostMapping("/compareFaces")
public ResponseEntity<?> compareFacialImages(@RequestParam String firstImg,
@RequestParam String secondImg) {
Path uploadRoot = Paths.get("static/upload").toAbsolutePath();
Path imgPath1 = uploadRoot.resolve(firstImg);
Path imgPath2 = uploadRoot.resolve(secondImg);
if (!Files.exists(imgPath1) || !Files.exists(imgPath2)) {
throw new ResponseStatusException(HttpStatus.NOT_FOUND, "Image not found");
}
byte[] bytes1 = readAllBytes(imgPath1);
byte[] bytes2 = readAllBytes(imgPath2);
String encoded1 = Base64.getEncoder().encodeToString(bytes1);
String encoded2 = Base64.getEncoder().encodeToString(bytes2);
MatchResult result = FaceRecognitionClient.compare(encoded1, encoded2);
return ResponseEntity.ok(result);
}
}
Supplementary SQL Scripts
INSERT INTO heritage_item (catalog_code, name, description, preservation_status, registered_by, contact_number)
VALUES ('CHN-001', 'Ancient Vase', 'Ming Dynasty ceramic piece', 'Stored', 'admin', '13800138000');
INSERT INTO patron (login_name, secret_hash, full_name, gender, phone)
VALUES ('researcher01', 'hashed_pwd', 'Li Wei', 'Male', '13900139000');