新增LQXSD 方法 和配置文件
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26
config.yaml
26
config.yaml
@ -5,8 +5,8 @@ output:
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processed_files: "./ocr_results/processed_files.txt" # 已处理文件列表
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# 后端接口配置
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# upload_url: https://pacs.gw12320.com/adminecg/admin-api/tblist/ecganalysisparas/parsePhotoCreateData
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upload_url: http://localhost:48080/admin-api/tblist/ecganalysisparas/parsePhotoCreateData
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upload_url: https://pacs.gw12320.com/adminecg/admin-api/tblist/ecganalysisparas/parsePhotoCreateData
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#upload_url: http://localhost:48080/admin-api/tblist/ecganalysisparas/parsePhotoCreateData
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# 底部识别配置
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bottom_recognition:
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@ -162,6 +162,26 @@ directories:
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bottom_key_mapping:
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"检查时间": "collectionTime"
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- path: "./史德卫生院"
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recognition_type: "LQXSD"
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key_mapping:
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"姓名": "name"
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"性别": "gender"
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"年龄": "age"
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"ID": "examId"
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"HR": "hr"
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"P": "P"
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"PR": "pr"
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"QRS": "qrs"
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"QT/QTC": "qt/qtc"
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"P/QRS/T": "pAxle/qrsAxle/tAxle"
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"RV5/SV1": "rv5/sv1"
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"RV5+SV1": "rv5Sv1"
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bottom_key_words:
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- "检查时间"
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bottom_key_mapping:
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"检查时间": "collectionTime"
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# OCR程序与语言包路径配置
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# 新增Tesseract相关配置
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@ -170,7 +190,7 @@ directories:
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# language 必须，指定语言包
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tesseract:
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bin_path: "C:/Program Files/Tesseract-OCR/tesseract.exe"
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bin_path: "D:/Program Files/Tesseract-OCR/tesseract.exe"
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data_path: "./tessdata"
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# data_path: "F:/陕西省咸阳市礼泉县心电图FTP/ecgimage/tessdata"
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language: "chi_sim+eng"
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@ -863,7 +863,7 @@ public class FolderMonitor {
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BufferedImage infoArea = image.getSubimage(0, 0, width, infoHeight);
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String infoOcr = tesseract.doOCR(infoArea);
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String[] infoLines = infoOcr.split("\\r?\\n");
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String namePattern = "姓\\s*名\\s*[:：]?\\s*([\\u4e00-\\u9fa5]+)(?=\\s*[门]?诊\\s*号|\\s*性\\s*别|$)";
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String namePattern = "[姓姊]\\s*名\\s*[:：]?\\s*([\\u4e00-\\u9fa5]+)(?=\\s*[门]?诊\\s*号|\\s*性\\s*别|$)";
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String genderPattern = "性\\s*别\\s*[:：]?\\s*([男女])";
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String agePattern = "年\\s*龄\\s*[:：]?\\s*(\\d+)\\s*[岁%]";
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String idPattern = "序\\s*号\\s*[:；;]?\\s*([A-Za-z0-9]+)";
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@ -881,9 +881,10 @@ public class FolderMonitor {
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extractedData.put("name", name);
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} else {
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// 如果正则匹配失败，尝试直接提取
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if (line.contains("姓名") || line.contains("姓名：") || line.contains("姓 名")) {
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if (line.contains("姓名") || line.contains("姓名：") || line.contains("姓 名") ||
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line.contains("姊名") || line.contains("姊名：") || line.contains("姊 名")) {
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// 统一处理各种可能的姓名标识
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String processedLine = line.replaceAll("姓\\s*名\\s*[:：]?", "姓名:");
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String processedLine = line.replaceAll("[姓姊]\\s*名\\s*[:：]?", "姓名:");
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String[] parts = processedLine.split("姓名:");
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if (parts.length > 1) {
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String afterName = parts[1].trim();
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@ -933,6 +934,27 @@ public class FolderMonitor {
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extractedData.put("examId", m.group(1));
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}
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}
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// 识别日期
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if (extractedData.get("collectionTime") == null) {
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// 处理原有格式和带空格的格式
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String datePattern = "日\\s*期\\s*[:：]?\\s*(\\d{4}[-/]\\d{1,2}[-/]\\d{1,2})";
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// 预处理行，处理字符间可能有空格的情况
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String processedLine = line.replaceAll("\\s+", "");
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// 先尝试原始行
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(datePattern).matcher(line);
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if (m.find()) {
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String dateValue = m.group(1).replaceAll("/", "-");
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extractedData.put("collectionTime", dateValue);
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} else {
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// 如果原始行匹配失败，尝试处理后的行
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m = java.util.regex.Pattern.compile(datePattern).matcher(processedLine);
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if (m.find()) {
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String dateValue = m.group(1).replaceAll("/", "-");
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extractedData.put("collectionTime", dateValue);
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}
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}
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}
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}
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// 2. 参数区（底部1/3，适配新模板）
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@ -942,27 +964,30 @@ public class FolderMonitor {
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String paramOcr = tesseract.doOCR(paramArea);
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String[] paramLines = paramOcr.split("\\r?\\n");
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String hrPattern = "心率[:：]?\\s*([\\dOo./]+)";
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String pPattern = "P时限[:：]?\\s*([\\dOo./]+)";
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String prPattern = "PR间期[:：]?\\s*([\\dOo./]+)";
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String pPattern = "P\\s*(?:时限)?[:：]?\\s*([\\dOo./+-]+)(?:\\s*[mM][sS])?";
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String pAxlePattern = "P\\s*(?:轴)?[:：]?\\s*([\\dOo./+-]+)\\s*°";
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String prPattern = "PR间期[:：;]?\\s*([\\dOo./]+)";
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String qrsPattern = "QRS时限[:：]?\\s*([\\dOo./]+)";
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String qtPattern = "[@Q]T\\s*间\\s*期\\s*[:：]?\\s*(\\d+)\\s*[mM][sS]";
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String qtcPattern = "[@Q]Tc\\s*间\\s*期\\s*[:：]?\\s*(\\d+)\\s*[mM][sS]";
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String pAxlePattern = "P轴[:：]?\\s*([\\dOo.]+)";
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String qtPattern = "(?:[@Q]?T|QT)\\s*间\\s*期\\s*[:：.·]?\\s*(\\d+)\\s*[mM][sS]";
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String qtcPattern = "(?:[@Q]Tc|afe)\\s*间\\s*期\\s*[:：.·]?\\s*(\\d+)\\s*[mM][sS]";
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String qrsAxlePattern = "QRS轴[:：]?\\s*([\\dOo.]+)";
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String tAxlePattern = "T轴[:：]?\\s*([\\dOo.]+)";
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String rv5sv1Pattern = "RV5/SV1[:：]?\\s*([\\dOo./]+)";
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String rv5sv1Pattern = "RV5/SV1.*?([\\dOo.]+/[\\dOo.]+|[\\dOo.]+).*?[mM][vVyY]?";
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String rv5plusSv1Pattern = "RV5\\+SV1[:：]?\\s*([\\dOo./]+)";
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// 用于存储QT和QTc的值
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String qtValue = null;
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String qtcValue = null;
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// 用于存储三个电轴的值
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String pAxleValue = null;
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String qrsAxleValue = null;
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String tAxleValue = null;
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// 用于存储三个电轴的值
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String pAxleValue = null;
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String qrsAxleValue = null;
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String tAxleValue = null;
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for (String line : paramLines) {
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// 标记是否已识别为P轴
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boolean isPAxleDetected = false;
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for (String line : paramLines) {
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line = line.replaceAll("\\s+", "").trim();
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// HR
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if (extractedData.get("hr") == null) {
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@ -972,14 +997,42 @@ public class FolderMonitor {
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extractedData.put("hr", hrValue);
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}
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}
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// P
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if (extractedData.get("P") == null) {
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// 处理所有P值 - 先检查是否含有度数符号判断是P轴还是P时限
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if (line.contains("P") && line.contains("°")) {
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// 如果行中同时包含P和度数符号，尝试提取P轴值
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(pAxlePattern).matcher(line);
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if (m.find() && pAxleValue == null) {
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pAxleValue = m.group(1).replaceAll("[Oo]", "0");
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isPAxleDetected = true; // 标记已识别为P轴
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}
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} else if ((line.contains("P") && !line.contains("PR") && !isPAxleDetected) || line.contains("P时限")) {
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// 不含度数符号且不是PR，或明确包含"P时限"字样，尝试提取P时限
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(pPattern).matcher(line);
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if (m.find() && extractedData.get("P") == null) {
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String pValue = m.group(1).replaceAll("[Oo]", "0");
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extractedData.put("P", pValue);
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}
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}
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// P - 仅当未识别为P轴时才尝试识别为P时限，但明确包含"P时限"的行除外
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if ((extractedData.get("P") == null && !isPAxleDetected) || line.contains("P时限")) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(pPattern).matcher(line);
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if (m.find()) {
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String pValue = m.group(1).replaceAll("[Oo]", "0");
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extractedData.put("P", pValue);
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}
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}
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// P轴 - 检查传统格式，仅当P轴未识别时
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if (pAxleValue == null) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile("P轴[:：]?\\s*([\\dOo.+-]+)").matcher(line);
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if (m.find()) {
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pAxleValue = m.group(1).replaceAll("[Oo]", "0");
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isPAxleDetected = true; // 标记已识别为P轴
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}
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}
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// PR
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if (extractedData.get("pr") == null) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(prPattern).matcher(line);
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@ -1008,13 +1061,6 @@ public class FolderMonitor {
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qtcValue = m.group(1).replaceAll("[Oo]", "0");
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}
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}
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// P轴
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if (pAxleValue == null) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(pAxlePattern).matcher(line);
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if (m.find()) {
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pAxleValue = m.group(1).replaceAll("[Oo]", "0");
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}
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}
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// QRS轴
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if (qrsAxleValue == null) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile(qrsAxlePattern).matcher(line);
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@ -1077,21 +1123,7 @@ public class FolderMonitor {
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extractedData.put("pAxle/qrsAxle/tAxle", axleValue.toString());
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}
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// 3. 底部区域（提取检查时间，底部5%）
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int bottomHeight = (int) (height * 0.05);
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int bottomStartY = height - bottomHeight;
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BufferedImage bottomArea = image.getSubimage(0, bottomStartY, width, bottomHeight);
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String bottomOcr = tesseract.doOCR(bottomArea);
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String[] bottomLines = bottomOcr.split("\\r?\\n");
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for (String line : bottomLines) {
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String lineNoSpace = line.replaceAll("\\s+", "");
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if (extractedData.get("collectionTime") == null) {
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java.util.regex.Matcher m = java.util.regex.Pattern.compile("日期[:：]?(\\d{4}-\\d{2}-\\d{2})").matcher(lineNoSpace);
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if (m.find()) {
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extractedData.put("collectionTime", m.group(1));
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}
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}
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}
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} catch (Exception e) {
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logger.error("processImageWithLQXSD 识别异常", e);
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}
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