CN106695747A - Valve hall inspection method and inspection robot based on laser radar - Google Patents
Valve hall inspection method and inspection robot based on laser radar Download PDFInfo
- Publication number
- CN106695747A CN106695747A CN201510777149.5A CN201510777149A CN106695747A CN 106695747 A CN106695747 A CN 106695747A CN 201510777149 A CN201510777149 A CN 201510777149A CN 106695747 A CN106695747 A CN 106695747A
- Authority
- CN
- China
- Prior art keywords
- valve hall
- data
- inspection
- radar
- laser radar
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000002159 abnormal effect Effects 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 8
- 238000013480 data collection Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003909 pattern recognition Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012567 pattern recognition method Methods 0.000 description 1
Landscapes
- Manipulator (AREA)
- Optical Radar Systems And Details Thereof (AREA)
Abstract
本发明公开了一种基于激光雷达的阀厅巡检方法和阀厅巡检机器人。该巡检方法包括:设置巡检机器人上固定的激光雷达的测量面垂直于地面;巡检机器人接受数据采集任务后沿预设轨道行驶,通过激光雷达对目标阀厅设备进行探测,并且通过定位装置获得机器人的位置信息,将参考数据和位置信息上报数据库;巡检机器人接受阀厅巡检任务后沿所述预设轨道行驶,从所述数据库中获取位置信息和参考数据,获得雷达数据作为实时数据,将此实时数据与所述参考数据比较,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常。该阀厅巡检方法和巡检机器人可以有效检测阀厅设备是否出现异常,有效提高设备巡检的效率和精度。
The invention discloses a valve hall inspection method and a valve hall inspection robot based on laser radar. The inspection method includes: setting the measuring surface of the laser radar fixed on the inspection robot to be perpendicular to the ground; The device obtains the position information of the robot, and reports the reference data and position information to the database; the inspection robot travels along the preset track after accepting the inspection task of the valve hall, obtains the position information and reference data from the database, and obtains the radar data as Real-time data, comparing the real-time data with the reference data, and judging whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold. The valve hall inspection method and inspection robot can effectively detect whether the valve hall equipment is abnormal, and effectively improve the efficiency and accuracy of equipment inspection.
Description
技术领域technical field
本发明涉及自动检测技术领域,尤其涉及一种基于激光雷达的阀厅巡检方法以及巡检机器人。The invention relates to the technical field of automatic detection, in particular to a laser radar-based inspection method for valve halls and an inspection robot.
背景技术Background technique
阀厅内的换流阀组是直流输电过程中的关键设备,为保证其可靠运行,需要定期巡检。阀厅巡检机器人被应用于阀厅的巡检工作中。The converter valve group in the valve hall is the key equipment in the process of direct current transmission. In order to ensure its reliable operation, regular inspections are required. The valve hall inspection robot is used in the inspection work of the valve hall.
目前的技术可以对仪表或易损部件进行仪表读取或测温工作,还可以通过图像处理方式检测阀厅是否异常,此方法包括:使用阀厅机器人搭载的可见光相机对可能出现异常的区域抓图并与正常时的图片比对,并通过模式识别的方法判定区域是否异常。该方法需要对可能出现问题的区域提前抓图并制作成模式识别的模板,机器人在经过该位置时再次传图,通过模式识别的方法与模板图片进行比对。机器人停止抓图需要耗费一定时间。并且容易产生误报。The current technology can perform instrument reading or temperature measurement on instruments or vulnerable parts, and can also detect whether the valve hall is abnormal through image processing. The picture is compared with the normal picture, and the pattern recognition method is used to determine whether the area is abnormal. This method needs to take a picture of the area that may have problems in advance and make a template for pattern recognition. When the robot passes the position, it will pass the picture again, and compare it with the template picture through the method of pattern recognition. It takes a certain amount of time for the robot to stop capturing images. And prone to false positives.
现有技术中对于设备是否完整、设备检修门是否闭合,设备位置是否变化、阀厅内是否存在异常物体等异常无法准确及时的判断。In the prior art, it is impossible to accurately and timely judge whether the equipment is complete, whether the maintenance door of the equipment is closed, whether the position of the equipment changes, whether there are abnormal objects in the valve hall, etc.
发明内容Contents of the invention
针对现有技术中存在的不足,提出了一种基于激光雷达的阀厅巡检方法以及巡检机器人,解决现有技术中无法检测多种阀厅设备异常的问题。Aiming at the deficiencies in the existing technology, a valve hall inspection method and inspection robot based on lidar are proposed to solve the problem that the abnormality of various valve hall equipment cannot be detected in the prior art.
本发明提供了一种基于激光雷达的阀厅巡检方法,所述方法包括:设置巡检机器人上固定的激光雷达的测量面垂直于地面;巡检机器人接受数据采集任务后沿预设轨道行驶,在行驶过程中通过激光雷达对目标阀厅设备进行探测获得目标阀厅设备的雷达数据作为参考数据,并且通过定位装置获得机器人进行探测操作时的位置信息,将所述参考数据和位置信息上报数据库;巡检机器人接受阀厅巡检任务后沿所述预设轨道行驶,从所述数据库中获取位置信息和相应的参考数据,在所述位置信息相应的位置通过激光雷达进行探测获得雷达数据作为实时数据,将此实时数据与所述参考数据比较,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常。The invention provides a laser radar-based valve hall inspection method, the method comprising: setting the measuring surface of the laser radar fixed on the inspection robot to be perpendicular to the ground; the inspection robot travels along a preset track after receiving the data collection task , during the driving process, the laser radar is used to detect the target valve hall equipment to obtain the radar data of the target valve hall equipment as reference data, and the position information of the robot during the detection operation is obtained through the positioning device, and the reference data and position information are reported Database; the inspection robot travels along the preset track after accepting the inspection task of the valve hall, obtains the position information and corresponding reference data from the database, and detects the position corresponding to the position information through laser radar to obtain radar data As real-time data, compare the real-time data with the reference data, and judge whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold.
其中,所述雷达数据是指单条激光光束测得的距离。Wherein, the radar data refers to the distance measured by a single laser beam.
其中,所述雷达数据是指多条激光光束测得的距离,所述两者差距是指参考数据和实时数据中各条激光光束测得的距离的差值的平均值或加权平均值。Wherein, the radar data refers to the distances measured by multiple laser beams, and the difference between the two refers to the average or weighted average of the differences between the distances measured by the laser beams in the reference data and the real-time data.
其中,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常具体是指:两者差距大于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于或等于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常;或者,两者差距大于或等于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常。Wherein, judging whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold value specifically refers to: when the difference between the two is greater than the preset threshold value, it is judged that the target valve hall equipment corresponding to the position information is abnormal. or when the difference is less than or equal to the preset threshold, it is judged that the target valve hall equipment corresponding to the location information is not abnormal; or, when the difference between the two is greater than or equal to the preset threshold, it is judged that the target valve hall equipment corresponding to the location information is abnormal, When the difference between the two is smaller than the preset threshold, it is determined that the target valve hall equipment corresponding to the position information is not abnormal.
其中,所述巡检机器人具有存储模块,所述数据库设置于所述存储模块中。Wherein, the inspection robot has a storage module, and the database is set in the storage module.
其中,所述定位装置为GPS定位装置、拉线编码器或RFID读卡定位器。Wherein, the locating device is a GPS locating device, a pull wire encoder or an RFID card reader locator.
本发明还提供了一种基于激光雷达的阀厅巡检机器人,包括:机器人本体、与所述机器人本体固定连接的轨道连接装置、与所述机器人本体固定连接的激光雷达;所述机器人本体包括本体外壳、固定于本体外壳内的中央处理器、存储器、定位装置,所述存储器和定位装置均与所述中央处理器连接;所述中央处理器与所述轨道连接装置通过控制线相连,所述中央处理器与激光雷达通过控制线相连;所述中央处理器,用于在巡检机器人接受数据采集任务后控制所述轨道连接装置沿预设轨道行驶,还用于在行驶过程中控制激光雷达对目标阀厅设备进行探测获得目标阀厅设备的雷达数据作为参考数据,并且通过定位装置获得激光雷达进行探测操作时的位置信息,将所述参考数据和位置信息存储于存储器;还用于在巡检机器人接受阀厅巡检任务后控制所述轨道连接装置沿所述预设轨道行驶,从所述存储器中获取位置信息和相应的参考数据,在所述位置信息相应的位置通过激光雷达进行探测获得雷达数据作为实时数据,将此实时数据与所述参考数据比较,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常。The present invention also provides a valve hall inspection robot based on laser radar, comprising: a robot body, a track connection device fixedly connected to the robot body, and a laser radar fixedly connected to the robot body; the robot body includes The body shell, the central processing unit fixed in the body shell, the memory, and the positioning device, the memory and the positioning device are all connected to the central processing unit; the central processing unit is connected to the track connecting device through a control line, and the The central processor is connected to the laser radar through a control line; the central processor is used to control the track connection device to travel along the preset track after the inspection robot accepts the data collection task, and is also used to control the laser during the driving process. The radar detects the target valve hall equipment to obtain the radar data of the target valve hall equipment as reference data, and obtains the position information of the laser radar during the detection operation through the positioning device, and stores the reference data and position information in the memory; After the inspection robot accepts the valve hall inspection task, it controls the track connection device to travel along the preset track, obtains position information and corresponding reference data from the memory, and passes through the laser radar at the position corresponding to the position information. Perform detection to obtain radar data as real-time data, compare the real-time data with the reference data, and judge whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold.
其中,所述雷达数据是指单条激光光束测得的距离,或者,所述雷达数据是指多条激光光束测得的距离,所述两者差距是指参考数据和实时数据中各条激光光束测得的距离的差值的平均值或加权平均值。Wherein, the radar data refers to the distance measured by a single laser beam, or the radar data refers to the distance measured by multiple laser beams, and the gap between the two refers to the distance measured by each laser beam in the reference data and real-time data. The average or weighted average of the differences in the measured distances.
本发明的方案可以有效检测阀厅设备是否出现异常,尤其是设备是否完整、设备检修门是否闭合,设备位置是否变化、阀厅内是否存在异常物体等异常,有效提高设备巡检的效率和精度。The scheme of the present invention can effectively detect whether the valve hall equipment is abnormal, especially whether the equipment is complete, whether the equipment inspection door is closed, whether the position of the equipment changes, whether there are abnormal objects in the valve hall, etc., and effectively improves the efficiency and accuracy of equipment inspection .
附图说明Description of drawings
图1是一种基于激光雷达的阀厅巡检方法的流程图;Fig. 1 is a flow chart of a valve hall inspection method based on laser radar;
图2是一种基于激光雷达的阀厅巡检机器人的结构图。Figure 2 is a structural diagram of a valve hall inspection robot based on lidar.
具体实施例specific embodiment
为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互任意组合。In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.
图1是一种基于激光雷达的阀厅巡检方法的流程图。激光雷达的阀厅巡检方法包括:Fig. 1 is a flow chart of a valve hall inspection method based on lidar. Lidar valve hall inspection methods include:
步骤1,设置巡检机器人上固定的激光雷达的测量面垂直于地面;Step 1, set the measurement surface of the fixed laser radar on the inspection robot to be perpendicular to the ground;
步骤2,巡检机器人接受数据采集任务后沿预设轨道行驶,在行驶过程中通过激光雷达对目标阀厅设备进行探测获得目标阀厅设备的雷达数据作为参考数据,并且通过定位装置获得机器人进行探测操作时的位置信息,将所述参考数据和位置信息上报数据库;Step 2: After receiving the data collection task, the inspection robot drives along the preset track. During the driving process, it detects the target valve hall equipment through the laser radar to obtain the radar data of the target valve hall equipment as reference data, and obtains the robot through the positioning device. position information during detection operation, and report the reference data and position information to the database;
步骤3,巡检机器人接受阀厅巡检任务后沿所述预设轨道行驶,从所述数据库中获取位置信息和相应的参考数据,在所述位置信息相应的位置通过激光雷达进行探测获得雷达数据作为实时数据,将此实时数据与所述参考数据比较,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常。Step 3: After accepting the inspection task of the valve hall, the inspection robot travels along the preset track, obtains the position information and corresponding reference data from the database, and detects the position corresponding to the position information through the laser radar to obtain the radar The data is used as real-time data, and the real-time data is compared with the reference data, and it is judged whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold.
雷达数据是指单条激光光束测得的距离。或者,雷达数据是指多条激光光束测得的距离,两者差距是指参考数据和实时数据中各条激光光束测得的距离的差值的平均值或加权平均值。Radar data refers to the distance measured by a single laser beam. Alternatively, the radar data refers to the distances measured by multiple laser beams, and the gap between the two refers to the average or weighted average of the differences between the distances measured by each laser beam in the reference data and the real-time data.
本方法中,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常具体是指:两者差距大于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于或等于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常;或者,两者差距大于或等于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常。In this method, judging whether the target valve hall equipment corresponding to the position information is abnormal according to the difference between the two and the preset threshold value specifically means: when the difference between the two is greater than the preset threshold value, judging that the target valve hall equipment corresponding to the position information is abnormal , when the difference between the two is less than or equal to the preset threshold, it is judged that the target valve hall equipment corresponding to the location information is not abnormal; or, when the difference between the two is greater than or equal to the preset threshold value, it is judged that the target valve hall equipment corresponding to the location information has Abnormal, when the difference between the two is less than the preset threshold, it is judged that the target valve hall equipment corresponding to this position information is not abnormal.
本方法中,巡检机器人具有存储模块,数据库设置于所述存储模块中。定位装置为GPS定位装置、拉线编码器或RFID读卡定位器。In this method, the inspection robot has a storage module, and the database is set in the storage module. The positioning device is a GPS positioning device, a pull-wire encoder or an RFID card reader locator.
本发明中的基于激光雷达的阀厅巡检机器人可以有以下构成方式。The valve hall inspection robot based on lidar in the present invention can have the following configurations.
图2是方式一中基于激光雷达的阀厅巡检机器人的结构图。此阀厅巡检机器人包括:机器人本体1、与机器人本体固定连接的轨道连接装置2、与机器人本体固定连接的激光雷达3;机器人本体包括本体外壳101、固定于本体外壳内的中央处理器102、定位装置103、存储器104,定位装置103和存储器104均与中央处理器102连接。中央处理器102与轨道连接装置2通过控制线相连,中央处理器102与激光雷达3通过控制线相连。Fig. 2 is a structural diagram of the valve hall inspection robot based on lidar in the first method. This valve hall inspection robot includes: a robot body 1, a track connection device 2 fixedly connected to the robot body, a laser radar 3 fixedly connected to the robot body; the robot body includes a body shell 101, and a central processing unit 102 fixed in the body shell , the positioning device 103 , and the memory 104 , and the positioning device 103 and the memory 104 are all connected to the central processing unit 102 . The central processing unit 102 is connected to the track connection device 2 through a control line, and the central processing unit 102 is connected to the laser radar 3 through a control line.
轨道连接装置2包括用于与轨道滑动连接的连接头和用于与机器人本体固定的连接杆。激光雷达3的测量面与连接杆平行。使用本阀厅巡检机器人时激光雷达3的测量面与地面保持垂直。The track connecting device 2 includes a connecting head for sliding connection with the track and a connecting rod for fixing with the robot body. The measurement surface of the lidar 3 is parallel to the connecting rod. When using the valve hall inspection robot, the measurement surface of the laser radar 3 is kept vertical to the ground.
中央处理器102用于在巡检机器人接受数据采集任务后控制轨道连接装置沿预设轨道行驶,还用于在行驶过程中控制激光雷达3对目标阀厅设备进行探测获得目标阀厅设备的雷达数据作为参考数据,并且通过定位装置103获得激光雷达进行探测操作时的位置信息,将参考数据和位置信息存储于存储器;还用于在巡检机器人接受阀厅巡检任务后控制轨道连接装置沿预设轨道行驶,从存储器104中获取位置信息和相应的参考数据,在位置信息相应的位置通过激光雷达进行探测获得雷达数据作为实时数据,将此实时数据与参考数据比较,根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常。The central processing unit 102 is used to control the track connection device to travel along the preset track after the inspection robot accepts the data collection task, and is also used to control the laser radar 3 to detect the target valve hall equipment to obtain the radar of the target valve hall equipment during the driving process The data is used as reference data, and the position information of the laser radar during the detection operation is obtained through the positioning device 103, and the reference data and position information are stored in the memory; it is also used to control the track connection device along the Preset track travel, obtain position information and corresponding reference data from the memory 104, detect and obtain radar data as real-time data by laser radar at the position corresponding to the position information, compare this real-time data with the reference data, according to the difference between the two and The preset threshold determines whether the target valve hall equipment corresponding to the location information is abnormal.
雷达数据是指单条激光光束测得的距离,或者,雷达数据是指多条激光光束测得的距离,两者差距是指参考数据和实时数据中各条激光光束测得的距离的差值的平均值或加权平均值。Radar data refers to the distance measured by a single laser beam, or radar data refers to the distance measured by multiple laser beams, and the gap between the two refers to the difference between the distances measured by each laser beam in the reference data and real-time data average or weighted average.
上述实现方式中,中央处理器具体使用以下方法根据两者差距与预设阈值判断此位置信息对应的目标阀厅设备是否出现异常:两者差距大于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于或等于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常;或者,两者差距大于或等于预设阈值时,判断此位置信息对应的目标阀厅设备出现异常,两者差距小于预设阈值时,判断此位置信息对应的目标阀厅设备未出现异常。In the above implementation, the central processor specifically uses the following method to judge whether the target valve hall equipment corresponding to the location information is abnormal according to the difference between the two and the preset threshold: when the difference between the two is greater than the preset threshold, judge the target valve hall corresponding to the location information When the valve hall equipment is abnormal, and the difference between the two is less than or equal to the preset threshold, it is judged that the target valve hall equipment corresponding to the location information is not abnormal; or, when the difference between the two is greater than or equal to the preset threshold, it is judged that the location information corresponds to the When the target valve hall equipment is abnormal, and the difference between the two is less than the preset threshold, it is judged that the target valve hall equipment corresponding to the position information is not abnormal.
上述实现方式中,定位装置为GPS定位装置、拉线编码器或RFID读卡定位器。In the above implementation manner, the locating device is a GPS locating device, a wire encoder or an RFID card reader locator.
上述实现方式中,轨道连接装置2包括用于与轨道滑动连接的连接头和用于与机器人本体固定的连接杆。激光雷达3的测量面与连接杆平行。使用本阀厅巡检机器人时激光雷达3的测量面与地面保持垂直。In the above implementation manner, the track connecting device 2 includes a connecting head for sliding connection with the track and a connecting rod for fixing with the robot body. The measurement surface of the lidar 3 is parallel to the connecting rod. When using the valve hall inspection robot, the measurement surface of the laser radar 3 is kept vertical to the ground.
上述实现方式中,机器人本体还包括与中央处理器连接的报警模块,报警模块包括声音播放器和/或灯光提示器。中央处理器在检测到设备异常时,向报警模块发送控制信号,使报警模块发出声和/或光的提示。In the above implementation manner, the robot body further includes an alarm module connected to the central processing unit, and the alarm module includes a sound player and/or a light prompter. When the central processing unit detects that the equipment is abnormal, it sends a control signal to the alarm module, so that the alarm module emits sound and/or light prompts.
本发明的方案可以有效检测阀厅设备是否出现异常,尤其是设备是否完整、设备检修门是否闭合,设备位置是否变化、阀厅内是否存在异常物体等异常,有效提高设备巡检的效率和精度。The scheme of the present invention can effectively detect whether the valve hall equipment is abnormal, especially whether the equipment is complete, whether the equipment inspection door is closed, whether the position of the equipment changes, whether there are abnormal objects in the valve hall, etc., and effectively improves the efficiency and accuracy of equipment inspection .
此外,需要说明的是,本说明书中所描述的具体实施例,其零、部件的形状、所取名称等可以不同,本说明书中所描述的以上内容仅仅是对本发明结构所作的举例说明。In addition, it should be noted that the specific embodiments described in this specification may be different in parts, shapes and names of parts, and the above content described in this specification is only an illustration of the structure of the present invention.
上面描述的内容可以单独地或者以各种方式组合起来实施,而这些变型方式都在本发明的保护范围之内。The content described above can be implemented alone or combined in various ways, and these variants are all within the protection scope of the present invention.
在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括……”限定的要素,并不排除在包括所述要素的物品或者设备中还存在另外的相同要素。As used herein, the terms "comprises", "comprises" or any other variation thereof are intended to cover a non-exclusive inclusion such that an article or device comprising a set of elements includes not only those elements but also other elements not expressly listed. elements, or also elements inherent in such articles or equipment. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the article or device comprising said element.
以上实施例仅用以说明本发明的技术方案而非限制,仅仅参照较佳实施例对本发明进行了详细说明。本领域的普通技术人员应当理解,可以对本发明的技术方案进行修改或者等同替换,而不脱离本发明技术方案的精神和范围,均应涵盖在本发明的权利要求范围当中。The above embodiments are only used to illustrate the technical solutions of the present invention rather than limit them, and the present invention is described in detail with reference to preferred embodiments. Those skilled in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all should be covered by the claims of the present invention.
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510777149.5A CN106695747A (en) | 2015-11-13 | 2015-11-13 | Valve hall inspection method and inspection robot based on laser radar |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510777149.5A CN106695747A (en) | 2015-11-13 | 2015-11-13 | Valve hall inspection method and inspection robot based on laser radar |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106695747A true CN106695747A (en) | 2017-05-24 |
Family
ID=58931840
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510777149.5A Pending CN106695747A (en) | 2015-11-13 | 2015-11-13 | Valve hall inspection method and inspection robot based on laser radar |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106695747A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108093241A (en) * | 2017-11-03 | 2018-05-29 | 国网河南省电力公司检修公司 | A kind of valve Room intelligent patrol detection sampler based on VR technologies |
CN111679291A (en) * | 2020-06-17 | 2020-09-18 | 四川智动木牛智能科技有限公司 | Inspection robot target positioning configuration method based on three-dimensional laser radar |
CN112665578A (en) * | 2021-03-16 | 2021-04-16 | 湖南承希科技有限公司 | Inspection positioning method and system based on tunnel inspection robot |
CN112763147A (en) * | 2021-01-19 | 2021-05-07 | 国网上海市电力公司 | Converter station valve room ground water track detection system |
CN114526724A (en) * | 2022-02-18 | 2022-05-24 | 山东新一代信息产业技术研究院有限公司 | Positioning method and equipment for inspection robot |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040174292A1 (en) * | 2003-03-05 | 2004-09-09 | Osamu Isaji | Radar apparatus equipped with abnormality detection function |
CN101187548A (en) * | 2007-12-06 | 2008-05-28 | 上海交通大学 | Laser radar online three-dimensional measurement device and method for large forgings |
CN102825504A (en) * | 2012-09-18 | 2012-12-19 | 重庆科技学院 | State detection method for main shaft of numerically-controlled machine tool |
CN203148395U (en) * | 2013-03-26 | 2013-08-21 | 武汉承拓电子科技有限公司 | A cavity deformation monitoring alarm device |
CN103691715A (en) * | 2013-12-30 | 2014-04-02 | 合肥京东方光电科技有限公司 | A substrate cleaning device |
CN203514159U (en) * | 2013-10-14 | 2014-04-02 | 中联重科股份有限公司 | Watering monitoring system and road roller |
CN104317295A (en) * | 2014-10-21 | 2015-01-28 | 山东鲁能智能技术有限公司 | Intelligent inspection robot system of converter station valve hall based on combined track |
CN204143508U (en) * | 2014-10-21 | 2015-02-04 | 山东鲁能智能技术有限公司 | A kind of valve Room track machine people cruising inspection system |
CN104742153A (en) * | 2015-04-01 | 2015-07-01 | 中国计量学院 | Fault predication device of six-axis multi-joint industrial robot |
-
2015
- 2015-11-13 CN CN201510777149.5A patent/CN106695747A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040174292A1 (en) * | 2003-03-05 | 2004-09-09 | Osamu Isaji | Radar apparatus equipped with abnormality detection function |
CN101187548A (en) * | 2007-12-06 | 2008-05-28 | 上海交通大学 | Laser radar online three-dimensional measurement device and method for large forgings |
CN102825504A (en) * | 2012-09-18 | 2012-12-19 | 重庆科技学院 | State detection method for main shaft of numerically-controlled machine tool |
CN203148395U (en) * | 2013-03-26 | 2013-08-21 | 武汉承拓电子科技有限公司 | A cavity deformation monitoring alarm device |
CN203514159U (en) * | 2013-10-14 | 2014-04-02 | 中联重科股份有限公司 | Watering monitoring system and road roller |
CN103691715A (en) * | 2013-12-30 | 2014-04-02 | 合肥京东方光电科技有限公司 | A substrate cleaning device |
CN104317295A (en) * | 2014-10-21 | 2015-01-28 | 山东鲁能智能技术有限公司 | Intelligent inspection robot system of converter station valve hall based on combined track |
CN204143508U (en) * | 2014-10-21 | 2015-02-04 | 山东鲁能智能技术有限公司 | A kind of valve Room track machine people cruising inspection system |
CN104742153A (en) * | 2015-04-01 | 2015-07-01 | 中国计量学院 | Fault predication device of six-axis multi-joint industrial robot |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108093241A (en) * | 2017-11-03 | 2018-05-29 | 国网河南省电力公司检修公司 | A kind of valve Room intelligent patrol detection sampler based on VR technologies |
CN111679291A (en) * | 2020-06-17 | 2020-09-18 | 四川智动木牛智能科技有限公司 | Inspection robot target positioning configuration method based on three-dimensional laser radar |
CN111679291B (en) * | 2020-06-17 | 2022-12-06 | 四川智动木牛智能科技有限公司 | Inspection robot target positioning configuration method based on three-dimensional laser radar |
CN112763147A (en) * | 2021-01-19 | 2021-05-07 | 国网上海市电力公司 | Converter station valve room ground water track detection system |
CN112665578A (en) * | 2021-03-16 | 2021-04-16 | 湖南承希科技有限公司 | Inspection positioning method and system based on tunnel inspection robot |
CN114526724A (en) * | 2022-02-18 | 2022-05-24 | 山东新一代信息产业技术研究院有限公司 | Positioning method and equipment for inspection robot |
CN114526724B (en) * | 2022-02-18 | 2023-11-24 | 山东新一代信息产业技术研究院有限公司 | Positioning method and equipment for inspection robot |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106695747A (en) | Valve hall inspection method and inspection robot based on laser radar | |
US10563976B2 (en) | Method and system for detecting a gauge of a metro vehicle | |
CN109870705B (en) | Boundary target identification method and device based on laser radar | |
US9036865B2 (en) | Location determination for an object using visual data | |
CN109059902A (en) | Relative pose determines method, apparatus, equipment and medium | |
EP2527859A3 (en) | Location beacon database and server, method of building location beacon database, and location based service using same | |
CN105867408B (en) | Driving space judgment device and method thereof | |
CN110329316A (en) | A kind of city rail obstacle detector and detection method | |
CN110136186B (en) | A detection target matching method for mobile robot target ranging | |
US20210072397A1 (en) | Generation of synthetic lidar signals | |
CN111144231B (en) | Self-service channel anti-trailing detection method and system based on depth image | |
KR102056564B1 (en) | Method And Apparatus for Managing Facility by using Machine Vision | |
CN116862712A (en) | Electric power construction potential safety risk detection method and system based on thunder fusion | |
CN108189859A (en) | Judge that two laser images are characterized in the method for relevant redundancy feature | |
CN110346295A (en) | Defect combined positioning method and device, equipment and storage medium | |
CN117237155A (en) | A smart campus student behavior analysis system based on artificial intelligence | |
JP6183703B2 (en) | Object detection apparatus, object detection method, and object detection system | |
US11738785B2 (en) | System and method for detecting an intruder on tracks | |
JP6645768B2 (en) | Vehicle type identification device | |
CN104464055A (en) | PSD linear array and ultrasonic linear array combined passenger flow volume calculation system | |
CN113419075B (en) | Ship speed measuring method, system, device and medium based on binocular vision | |
Sangeetha et al. | Detection of Defects in the Railway Tracks Based on YOLOv5 | |
KR101896477B1 (en) | Method and Apparatus for Scanning LiDAR | |
CN117612356A (en) | Bridge anti-collision early warning method and device, storage medium and electronic equipment | |
EP4242996A1 (en) | Status determination device, status determination system, and status determination method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170524 |
|
RJ01 | Rejection of invention patent application after publication |