select line_id,patrol_device_name,patrol_device_code,task_name,task_code,device_name,device_id,value_type,material_id,data_type, value,value_unit,unit,time,recognition_type,file_type,file_path,rectangle,task_patrolled_id,valid,check_result,patrol_status from patrol_result select result.*,point.device_id productionId,point.purpose purpose from basedata_patrolpoint point left join patrol_result result on point.patrol_point_id = result.device_id select result.line_id,result.patrol_device_name,result.patrol_device_code,result.task_name,result.task_code,result.device_name,result.device_id,result.value_type,result.material_id, case result.data_type when 1 then '摄像机' when 2 then '机器人' when 3 then '无人机' when 4 then '声纹' when 5 then '在线监测'else data_type end data_type, result.value,result.value_unit,result.unit,result.time,result.check_result, case result.recognition_type when 1 then '表计读取' when 2 then '位置状态识别' when 4 then '红外测温' end recognition_type, case result.file_type when 1 then '红外图谱' when 2 then ' 可见光照片' when 3 then '音频' when 4 then '视频' else file_type end file_type, result.file_path,result.rectangle,result.task_patrolled_id, case result.valid when 0 then '失败' when 1 then '成功' when 2 then '判别异常' end valid, case result.patrol_status when 0 then '未审核' when 1 then '已审核' end patrolStatusName, result.patrol_status patrol_status from basedata_patrolpoint point left join patrol_result result on point.patrol_point_id = result.device_id select result.line_id,result.patrol_device_name,result.patrol_device_code,result.task_name,result.task_code,result.device_name,result.device_id,result.value_type,result.material_id, result.data_type data_type, result.value,result.value_unit,result.unit,result.time,result.check_result, result.recognition_type recognition_type, result.file_type file_type, result.file_path,result.rectangle,result.task_patrolled_id, result.valid valid, result.patrol_status patrolStatusName, result.patrol_status patrol_status from basedata_patrolpoint point left join patrol_result result on point.patrol_point_id = result.device_id and point.device_id = #{deviceId} and result.recognition_type = #{recognitionType} and result.time between #{startTime} and #{endTime} order by time desc and find_in_set(point.device_id, #{deviceIds}) and result.recognition_type in #{item} and result.time between #{startTime} and #{endTime} and device_name like concat('%', #{deviceName}, '%') order by time asc and find_in_set(point.device_id, #{deviceIds}) and result.recognition_type = #{recognitionType} and result.time between #{startTime} and #{endTime} and device_name like concat('%', #{deviceName}, '%') order by time desc and point.device_id = #{deviceId} and result.recognition_type = #{recognitionType} and result.time between #{startTime} and #{endTime} and device_name like concat('%', #{deviceName}, '%') order by time where recognition_type = 1 and point.device_id = #{deviceId} and result.patrol_device_code = #{patrolDeviceCode} order by time desc limit #{num} where recognition_type = #{type} and FIND_IN_SET(line_id,#{lineIds})