WO2018193880A1 - Plant equipment recognition system and plant equipment recognition method - Google Patents

Plant equipment recognition system and plant equipment recognition method Download PDF

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Publication number
WO2018193880A1
WO2018193880A1 PCT/JP2018/014742 JP2018014742W WO2018193880A1 WO 2018193880 A1 WO2018193880 A1 WO 2018193880A1 JP 2018014742 W JP2018014742 W JP 2018014742W WO 2018193880 A1 WO2018193880 A1 WO 2018193880A1
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WIPO (PCT)
Prior art keywords
plant
pipe
plant equipment
equipment
mobile terminal
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Application number
PCT/JP2018/014742
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French (fr)
Japanese (ja)
Inventor
村田 幸弘
洋 関
洋平 杉本
Original Assignee
日立Geニュークリア・エナジー株式会社
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from JP2017162996A external-priority patent/JP6826509B2/en
Application filed by 日立Geニュークリア・エナジー株式会社 filed Critical 日立Geニュークリア・エナジー株式会社
Priority to US16/605,709 priority Critical patent/US11378383B2/en
Publication of WO2018193880A1 publication Critical patent/WO2018193880A1/en

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring

Definitions

  • the present invention relates to a plant equipment recognition system and a plant equipment recognition method.
  • Patent Literature 1 “a plurality of real images taken in the vicinity of a reference point from an in-vehicle camera are input, and a feature portion is extracted from them as first feature information.
  • the second feature corresponding to the map DB.
  • the feature information of the first and second feature information is compared and matched to estimate the position of each feature, and based on the position, the SFM method is used.
  • the current position of the host vehicle is estimated by calculating the relative positional relationship between the position of the host vehicle at each point of time associated with the movement and the position of each of the features.
  • Patent Document 2 states that “feature points are extracted for the current real image ortho-corrected by the camera and the three-dimensional coordinate data acquired from the server, and the extracted feature points are matched with each other. Is used to estimate the self-position of the mobile terminal. "
  • JP 2012-127896 A Japanese Unexamined Patent Publication No. 2016-170060
  • radio and typified by GPS cannot be used inside plant facilities such as nuclear facilities. Therefore, in the plant facility, it is not always possible to use a conventional self-localization method that often uses radio or a marker to recognize the plant facility device. Further, the plant equipment is often different in shape from CAD (Computer-Aided Design) data at the time of design or the shape is changed. For this reason, matching between the actual image of the plant equipment and the image based on the design data cannot be obtained, and the plant equipment cannot be accurately recognized.
  • CAD Computer-Aided Design
  • the present invention is a plant facility capable of accurately recognizing a plant facility device even in a plant facility where a wireless facility or a marker cannot be installed, and even when the shape is different from the design data or the shape is changed.
  • An object is to provide a device recognition system and a plant facility device recognition method.
  • the present application includes a plurality of means for solving the above problems.
  • a feature amount acquisition unit that acquires information about piping as a first feature amount from an image obtained by photographing the plant facility device to be worked and the piping existing around the plant facility device with a camera;
  • a feature amount comparison unit that compares the first feature amount and a second feature amount relating to the piping acquired from design data; It is characterized by providing.
  • the plant facility device to be worked on can be accurately recognized.
  • FIG. 1 It is an example of the block diagram which shows the structure of the plant equipment apparatus recognition system which concerns on 1st Embodiment of this invention. It is an example of the figure which shows an example of the display screen displayed on the display part of a mobile terminal. It is an example of the flowchart which shows the flow of a process of the plant equipment apparatus recognition method which concerns on 1st Embodiment of this invention. It is an example of the figure which shows the example of a display of the display screen of a mobile terminal in the specific process of the plant facility equipment recognition method which concerns on 1st Embodiment (the 1).
  • plant facilities such as nuclear facilities
  • plant facilities are usually connected with piping for the purpose of transporting fluids such as liquid, gas, and powder, and protecting electrical wiring and cables.
  • plant facility equipment include equipment such as motors and valves.
  • a test is performed on each plant facility device before operation, and maintenance and management of each plant facility device is performed after operation.
  • specifications and work contents, etc. vary depending on the individual plant equipment, such as the type of plant equipment to be worked on and the installation position (installation location) of the same type of plant equipment. Is different. Therefore, for plant equipment such as motors and valves, in order to improve work efficiency when conducting pre-operation testing and maintenance management after operation, the specifications and work contents of each plant equipment are known in advance. It is preferable.
  • FIG. 1 is an example of a block diagram illustrating a configuration of a plant facility equipment recognition system according to the first embodiment of the present invention.
  • the plant equipment recognition system 1 includes a mobile terminal 10 and a comparison feature database (DB) creation unit 20, and is a work target for performing tests before operation and maintenance management after operation. Automatically recognizes plant equipment.
  • the plant facility equipment to be worked is also the plant equipment to be recognized.
  • the case where the plant equipment to be worked (recognized) is a valve to which a pipe for the purpose of transporting fluid such as liquid, gas, and powder is connected.
  • the mobile terminal 10 has a digital system constructed by a microcomputer (microcontroller) in which a processor, a memory, and the like are integrated, and includes an area specifying unit 11, a feature amount acquisition unit 12, an equipment information display control unit 13, and a feature amount comparison. Each function unit of the control unit 14 is included. Details of each functional unit of the mobile terminal 10 will be described later.
  • the comparison feature quantity database creation unit 20 includes a CAD data storage unit 21, an imaging data storage unit 22, and a feature quantity creation unit 23.
  • the CAD data storage unit 21 stores and holds CAD data at the time of design (that is, design data). Examples of CAD data include three-dimensional design data such as the pipe diameter, pipe length, and distance from the floor or wall to the pipe in the plant equipment.
  • the imaging data storage unit 22 stores and holds imaging data in the field by a camera 122 described later.
  • the feature quantity creation unit 23 creates (extracts) a comparative feature quantity for piping using each storage data of the CAD data storage unit 21 and the imaging data storage unit 22, that is, CAD data at the time of design and imaging data at the site. To do.
  • Features for comparison include pipe diameter, pipe length, pipe height (distance from floor or wall to pipe), pipe orientation (vertical / horizontal), positional relationship between multiple pipes, and plant equipment Piping information etc. can be illustrated.
  • the area specifying unit 11 includes a GPS 111, an electronic compass 112, a beacon 113, a WiFi (registered trademark) 114, a marker reading unit 115, and an area information collecting unit 116, and a plant facility device that is a work target (recognition target) is installed. Identify the recognition target area.
  • the GPS 111 acquires position information of the mobile terminal 10 using satellite communication.
  • the electronic compass 112 is an example of an azimuth meter, and acquires azimuth information of the mobile terminal 10 by detecting geomagnetism.
  • the beacon 113 acquires the position information of the mobile terminal 10 through communication with a plurality of beacon master devices installed in the recognition target area.
  • WiFi (registered trademark) 114 wirelessly connects the mobile terminal 10 to a local area network (LAN).
  • the marker reading unit 115 reads a plurality of markers pasted in the recognition target area in order to specify the position of the mobile terminal 10.
  • the area information collection unit 116 collects various information acquired by the electronic compass 112, the beacon 113, WiFi (registered trademark) 114, and the marker reading unit 115. Based on various information collected by the area information collection unit 116, the area identification unit 11 provides a rough overview of the mobile terminal 10 from the entrance of the plant building to the recognition target area where the recognition target plant equipment is installed. Get location information. The identification of the recognition target area by the area identification unit 11 is limited to an environment where radio waves can be used that are not electromagnetically shielded.
  • the feature quantity acquisition unit 12 includes a structure sensor 121, a camera (imaging device) 122, an electronic compass 123, a feature quantity calculation unit 124, and a feature quantity database 125, and images and point clouds obtained by photographing with the camera 122. Using the data, information regarding the piping is acquired as the first feature amount.
  • the space in the recognition target area is usually an electromagnetically shielded space. Therefore, the feature quantity acquisition unit 12 enters the recognition target area, that is, the feature quantity related to the pipe connected to the plant equipment to be recognized in a situation where the shield is electromagnetically shielded and wireless cannot be used. To get.
  • the structure sensor 121 is an infrared camera, and acquires two-dimensional information of the distance from the mobile terminal 10 to the object to be photographed.
  • the camera 122 includes a CCD (Charge-Coupled Device) image sensor, a CMOS (Complementary-Metal-Oxide-Semiconductor) image sensor, and the like, and the equipment in the recognition target area including the plant equipment to be recognized and piping connected thereto.
  • the electronic compass 123 acquires azimuth information of the mobile terminal 10 by detecting geomagnetism.
  • the feature amount calculation unit 124 calculates a feature amount related to the captured pipe as the first feature amount based on information given from the structure sensor 121 and the camera 122.
  • the feature value database 125 is a database of feature value values related to piping calculated by the feature value calculation unit 124.
  • the facility information display control unit 13 includes a facility information database 131, a three-dimensional facility database 132, an electronic compass 133, an AR (Augmented Reality) display unit 134, and a facility information display unit 135.
  • the facility information database 131 is a database of facility information including specifications for each plant facility device and work instruction content related to the plant facility device to be worked on by an operator. Present.
  • This facility information database 131 can include data relating the positional relationship with piping and plant facility equipment such as structures included in plant facilities, for example, products such as mounts and embedded hardware, temporary materials such as scaffolds, and passages. . Thereby, the structure which exists in the vicinity of the mobile terminal 10 can be estimated.
  • the three-dimensional equipment database 132 is a database of data equivalent to the CAD data at the time of design stored in the CAD data storage unit 21, for example, three-dimensional data obtained by processing CAD data.
  • the electronic compass 133 detects geomagnetism and acquires the orientation information of the mobile terminal 10.
  • the AR display unit 134 displays facility information such as work instruction contents of plant facility equipment using the AR function based on the information given from the three-dimensional facility database 132 and the electronic compass 133.
  • the facility information display unit 135 displays facility information such as work instruction contents of the recognized plant facility equipment to be worked.
  • the feature quantity comparison control unit 14 includes a comparison feature quantity database 141 and a feature quantity comparison unit 142.
  • the comparison feature quantity database 141 is a feature quantity created by the feature quantity creation unit 23 of the comparison feature quantity database creation unit 20, that is, information about piping acquired from three-dimensional design data (CAD data at the time of design). This is databased as the second feature value (comparison feature value).
  • the comparison feature quantity database 141 includes, as the second feature quantity, in addition to the pipe diameter, pipe length, and distance from the floor or wall to the pipe in the plant equipment, the positional relationship between the plant equipment and the pipe, Moreover, the positional relationship between the pipes in the plant facility can also be included.
  • the feature amount comparison unit 142 compares the first feature amount of the feature amount database 125 with the second feature amount of the comparison feature amount database 141, and has a feature amount that matches in the corresponding recognition target area. To list. In the comparison between the first feature value and the second feature value, the setting of a threshold value serving as a matching index can be adjusted on the mobile terminal 10. Since the comparison feature value database 141 includes information on pipes connected to the plant equipment, it is possible to indirectly estimate (specify) the target plant equipment by specifying a plurality of pipes. Can do.
  • the comparison feature quantity database 141 is implemented on the mobile terminal 10, but is not limited thereto, and a comparison feature quantity database creation terminal is provided separately from the mobile terminal 10. It can also be implemented by the comparison feature quantity database creation terminal.
  • FIG. 2 is an example of a diagram illustrating an example of a display screen displayed on the display unit of the mobile terminal 10.
  • the mobile terminal 10 displays an image captured by the camera 122 mounted on the mobile terminal 10 or a two-dimensional image (distance two-dimensional information) acquired by the structure sensor 121 on the image display screen 151 in the substantially central portion of the display unit 15. Is displayed.
  • the image display screen 151 includes pipes 1512 and 1513 provided across the valve 1511, pipes 1514 branched by the valve 1511, and pipes 1515 provided in parallel with the pipes 1512 and 1513. The state displayed as an image is illustrated.
  • the mobile terminal 10 is often equipped with a touch panel (touch panel sensor) that combines a display device such as a liquid crystal panel or an organic EL panel and a position input device such as a touch pad as the display unit 15.
  • a touch panel touch panel sensor
  • the operator can select a desired pipe by touching the pipe 1512/1513/1514/1515 on the image display screen 151 with a finger or the like.
  • the mobile terminal 10 can display the plant number “AAA” for identifying the plant facility and the area number “BBB” for identifying the recognition target area on the upper part of the display unit 15. Further, the mobile terminal 10 can display feature quantities such as the pipe diameter “aaa”, the pipe length “bbb”, and the pipe height “ccc” for the pipe selected by the operator. At this time, the feature quantities such as the pipe diameter, the pipe length, and the pipe height can be acquired from CAD data stored and held in advance in the CAD data storage unit 21 (see FIG. 1).
  • the pipe height is limited to the case where the height from the floor of the pipe can be recognized.
  • the height from the floor of the pipe can be recognized, a case where the pipe and the floor are photographed at the same time and two-dimensional information of the distance can be acquired by the structure sensor 121 can be exemplified.
  • the mobile terminal 10 displays a list of pipe candidates or plant equipment candidate candidates narrowed down by the feature amount comparison by the feature amount comparison unit 142 (see FIG. 1) on the upper right side of the image display screen 151 on the list display screen 152. Can be displayed as The mobile terminal 10 can further display the property of the selected pipe or plant equipment as a property screen 153 on the lower right side of the image display screen 151.
  • a SCAN button 154 for instructing acquisition of a captured image by the camera 122 and acquisition of two-dimensional information of the distance from the mobile terminal 10 to the photographing object by the structure sensor 121 is displayed.
  • the SCAN button 154 corresponds to a shutter of the imaging device (camera).
  • the SCAN button 154 When the operator presses the SCAN button 154, the captured image and the two-dimensional information of the distance can be acquired.
  • the position where the SCAN button 154 is displayed is not limited to the display position shown in FIG.
  • two-dimensional information (two-dimensional image) of the distance from the mobile terminal 10 to the object to be imaged can be obtained.
  • the structure sensor 121 can obtain the two-dimensional information of the distance by, for example, irradiating the imaging object with infrared rays and measuring the light reflected by the imaging object. Then, a plane or a curved surface can be extracted from the distance information obtained as the two-dimensional information according to the amount of change in distance. Thereby, a floor, a wall, and piping can be identified.
  • a method of extracting a point cloud of a plane portion using a PCL (Point Cloud Library) module and calculating a plane approximation formula can be used.
  • the PCL module is a library that summarizes open source 3D point cloud data processing.
  • the distance from the wall the distance from the intersection line formed by two adjacent walls can be used. More specifically, the distance between the two lines is calculated by calculating two plane expressions and deriving an intersection line and extracting the start point and the end point of the pipe and deriving a linear expression.
  • the distance between two boundary lines on the side surface of the cylinder is obtained. Since the cylinder side surface is a curved surface, it is possible to determine whether the two boundary lines are the side surfaces of the cylinder by considering the normal vector.
  • the distance from the pipe to the wall it is possible to grasp the current position and the distance to the surrounding walls by imaging the walls existing in all directions.
  • the butt portion of the wall of the plant equipment is orthogonal, and the location in the recognition target area can be estimated from the distance to the surrounding wall.
  • Plant equipment recognition method Next, a plant facility equipment recognition method according to the first embodiment of the present invention will be described.
  • the plant equipment recognition method according to the present embodiment is controlled by a processor that constructs a digital system of the mobile terminal 10 in the mobile terminal 10 of the plant equipment recognition system 1 according to the first embodiment having the above-described configuration. To be implemented.
  • FIG. 3 is an example of a flowchart showing a processing flow of the plant facility equipment recognition method according to the first embodiment of the present invention.
  • 4 and 5 are diagrams showing a display example (part 1) and a display example (part 2) of the display screen of the mobile terminal 10 in the specific process of the plant facility equipment recognition method according to the first embodiment. It is an example.
  • the comparison feature database creation unit 20 Prior to execution of processing of the plant facility equipment recognition method according to the first embodiment, uses CAD data at the time of design and imaging data at the work site (recognition target). It is assumed that a process for creating a comparison feature amount of piping connected to the plant equipment is performed.
  • the comparison feature quantity of piping created by the comparison feature quantity database creation unit 20 is assumed to be databased as a comparison feature quantity database 141.
  • the processor uses the function of the area specifying unit 11 to set the initial position of the mobile terminal 10 that performs image recognition by feature amount matching (step S11). Specifically, the processor specifies and sets the initial position of the mobile terminal 10 using the function of the area specifying unit 11 that can be used for the purpose of specifying the position of GPS, WiFi, marker, beacon, and the like. For example, when the plant building is specified from the outside of the plant building, the position is specified outdoors, and therefore positioning (position specifying) using GPS is possible.
  • the method of setting the initial position of the mobile terminal 10 using the function of the area specifying unit 11 under the control of the processor is illustrated.
  • the method is not limited to this setting method.
  • a method of setting the initial position of the mobile terminal 10 by manual input by an operator can be taken.
  • the processor photographs the plant equipment that is desired to be identified (recognized) and the piping connected to the equipment (step S12). Specifically, the processor captures the plant equipment and the piping existing in the vicinity thereof with the camera 122.
  • FIG. 4A is an example in which the plant equipment to be specified and piping existing in the vicinity thereof are photographed by the camera 122 of the mobile terminal 10.
  • the display screen in FIG. 4A corresponds to the display screen in FIG.
  • a SCAN button 154 is also displayed on the image display screen 151.
  • the processor determines whether or not the SCAN button 154 displayed on the image display screen 151 has been pressed by the operator (step S13).
  • the camera The image information by 122 and the two-dimensional information of the distance by the structure sensor 121 are acquired (step S14).
  • the processor recognizes the pipes that are reflected in the periphery of the recognition-target plant equipment that is the imaged work object, based on the image information acquired in step S14 and the two-dimensional information about the distance (step S15).
  • the operator designates the pipe to be specified on the touch panel and repeatedly executes the recognition work.
  • FIG. 4B shows a display image when one pipe 1512 is selected.
  • the selected pipe is displayed on the image display screen 151 with, for example, paint (shaded in FIG. 4B).
  • paint shaded in FIG. 4B.
  • the pipe diameter of the pipe 1512 is displayed on the upper part of the display unit 15 of the mobile terminal 10, and attribute information regarding the pipe 1512 is displayed on the lower right side of the display unit 15.
  • the processor acquires the feature amount of the pipe designated by the operator from the captured image using the function of the feature amount acquisition unit 12 (step S16), and then calculates the feature amount calculated from the captured image, Matching with the comparison feature quantity in the comparison feature quantity database 141 acquired in advance is performed (step S17). Subsequently, the processor determines whether or not the matching result between the feature amount calculated from the captured image and the comparison feature amount matches (step S18). If the matching result does not match (No in S18), the processor returns to step S12. Steps S12 to S18 are repeated.
  • step S20 it is determined whether or not to continue recognition of other pipes. Whether or not to continue to recognize other piping can be determined based on whether or not the operator has selected other piping on the touch panel.
  • the operator preferably selects the pipe again on the touch panel to obtain the pipe information.
  • the processor determines that the recognition of the other pipe is continued (Yes in S20), returns to Step S16, and repeats the processes from Step S16 to Step S20. Further, when the operator does not select another pipe on the touch panel, the processor determines that the recognition of the other pipe is not continued (No in S20), and as shown in FIG.
  • the equipment list plant facility equipment candidate list associated with the piping information is displayed (step S21).
  • the processor determines whether or not the plant equipment that is the work target (recognition target) is uniquely identified (step S22). Here, if the processor is not uniquely identified (No in S22), the plant equipment is selected under the touch operation of the touch panel by the operator (Step S23), and then the selected plant equipment is selected. The device information is displayed (step S24).
  • the property information of the plant equipment is displayed as the device information, and the related work list display process is performed. Then, when the worker touches and selects the corresponding work item, the work procedure manual of the plant equipment to be worked is displayed. If the plant equipment is uniquely identified (Yes in S22), the processor directly proceeds to step S24 and performs processing for displaying the equipment information of the identified plant equipment.
  • information relating to piping is obtained from the image obtained by photographing the piping existing around the plant equipment to be worked with the camera 122 mounted on the mobile terminal 10 as the first information. Acquired as a feature value. Then, the feature quantity comparison unit 142 compares the first feature quantity and the second feature quantity relating to the piping acquired from the three-dimensional design data. As a result, based on the comparison result of the feature value comparison unit 142, the piping near the plant equipment to be worked is identified, the plant equipment is narrowed down from the identified piping, and is recognized as the plant equipment to be worked (specification). / Estimation).
  • the recognition method according to the first embodiment is different from the method of recognizing the target plant equipment itself by the image matching technique. Therefore, according to the recognition method, the plant equipment can be accurately recognized even when the target plant equipment is different in shape from the three-dimensional design data or the shape is changed. Moreover, since the image obtained by photographing with the camera 122 equipped in the mobile terminal 10 is used, the plant facility device to be worked can be accurately recognized even in the plant facility where the wireless facility and the marker cannot be installed. .
  • the feature amount obtained from the 3D design data to be compared is stored in the 3D equipment database 132 in a specific format, the data stored in the mobile terminal 10 Security can be increased.
  • the position information of the mobile terminal 10 it is possible to specify (estimate) the position information of the mobile terminal 10 by specifying a plurality of pipes or plant equipment devices existing in the vicinity of the mobile terminal 10. Therefore, based on the position information of the mobile terminal 10, information regarding structures existing around the mobile terminal 10 can be displayed on the facility information display unit 135. Examples of the structures existing in the periphery include products such as mounts and embedded hardware, temporary materials such as scaffolds, passages, and the like.
  • the orientation of the mobile terminal 10 can be recognized. Therefore, an image captured by the camera 122 from the position information of the mobile terminal 10 and the orientation information can be obtained. Can be estimated.
  • the AR display unit 134 can display the equipment information of the equipment information database 131 and then superimpose the 3D image of the 3D equipment database 132. When performing work for plant equipment, work errors can be reduced by displaying the work instruction content superimposed on the image captured by the camera 122 using the AR technology.
  • Second Embodiment 2nd Embodiment is a modification of 1st Embodiment, and is an example in case the piping connected to the valve which is an example of the plant equipment apparatus of work object (recognition object) contains a curved pipe part.
  • the curved pipe portion of the pipe is an L-shaped pipe called an elbow, and is a connecting joint pipe that branches and merges the pipes by connecting the straight pipe portions.
  • In-plant piping generally includes a plurality of straight pipe portions and a plurality of curved pipe portions, and is installed while bending the piping direction in a horizontal direction or a vertical direction. An example is shown in FIG.
  • FIG. 6 is an example of a schematic diagram illustrating an example of piping including a bent pipe portion (elbow) connected to a valve.
  • a pipe structure in which three systems of pipes 1516, 1517 and 1518 are connected to the valve 1511 is illustrated.
  • the case where each piping diameter of three piping 1516, 1517, 1518 differs is illustrated.
  • the pipe 1518 includes, for example, five straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, 1518_5 and four curved pipe portions 1518_6, 1518_7, 1518_8, 1518_9.
  • the curved pipe portion 1518_6 connects the straight pipe portion 1518_1 whose direction is horizontal and the straight pipe portion 1518_2 whose direction is vertical.
  • the curved pipe part 1518_7 connects the straight pipe part 1518_2 whose direction is vertical and the straight pipe part 1518_3 whose direction is horizontal.
  • the curved pipe portion 1518_8 connects the straight pipe portion 1518_3 whose direction is horizontal and the straight pipe portion 1518_4 whose direction is vertical.
  • the curved pipe portion 1518_9 connects a straight pipe portion 1518_4 whose direction is vertical and a straight pipe portion 1518_5 whose direction is horizontal.
  • the pipe 1518 is illustrated as a pipe including a curved pipe portion (elbow), and the pipe 1518 is illustrated with respect to a pipe portion on the downstream side as viewed from the valve 1511, but the pipe 1516 and the pipe 1517 are also illustrated. Similar to the pipe 1518, there may be a case where one or a plurality of bent pipe parts are included.
  • the configuration of the plant equipment recognition system according to the second embodiment is basically the same as the configuration of the plant equipment recognition system according to the first embodiment shown in FIG.
  • the three systems of pipes 1512, 1513, and 1514 connected to the valve 1511 are photographed together by the camera 122, and together on the image display screen 151 of the display unit 15. It is displayed (see FIG. 2), and the operator selects a desired pipe on the image display screen 151.
  • any of the plurality of pipes connected to the valve is hidden behind a temporary material such as a scaffold, for example, as shown in FIG.
  • a temporary material such as a scaffold, for example, as shown in FIG.
  • a plurality of pipes connected to the valve are individually photographed (one by one) as shown in FIG. Then, every time one shot is taken, by performing the same specific processing as in the case where the operator selects a desired pipe on the image display screen 151 in the first embodiment, for each taken pipe, A pipe in the vicinity of a valve, which is an example of the plant equipment to be worked, is specified, and the valve is recognized (specified / estimated) from the specified pipe as the plant equipment to be worked.
  • a pipe 1518 including one or a plurality of curved pipe portions is a target pipe for specific processing
  • individual straight pipe portions and curved pipe portions are set as matching targets, and pipe specific processing is performed.
  • the pipe to be specified includes a straight pipe portion and a curved pipe portion, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portions 1518_2, 1518_3, 1518_4 on the downstream side thereof.
  • 1518_5 and curved pipe portions 1518_6, 1518_7, 1518_8, and 1518_9 are also subject to matching.
  • the pipe diameter, pipe length, pipe height (distance from the floor or wall), pipe direction (vertical direction / horizontal direction) for each of the straight pipe portion and the curved pipe portion of the pipe 1518 are stored in the comparison feature quantity database 141 as a comparison feature quantity (second feature quantity).
  • the feature values are databased for both the straight pipe part and the curved pipe part.
  • the straight pipe part is generally used for the curved pipe part. It is also possible to make the feature quantity into a database only for the above.
  • the camera 122 mounted on the mobile terminal 10 performs shooting one by one for the pipes 1516, 1517, and 1518 connected to the valve 1511.
  • the feature amount acquisition unit 12 acquires the feature amounts of the straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5, and the feature amount database. Stored in 125.
  • the feature quantity comparison unit 142 each of the plurality of straight pipe sections 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5 is checked against the comparison feature quantity database 141, and the matching pipe candidates are listed to display equipment information. Displayed on the part 135.
  • the straight pipe part and the curved pipe part are used by using the CAD data in the CAD data storage unit 21. And to separate.
  • the feature amount creation unit uses the CAD data in the CAD data storage unit 21 for the first feature amount related to the plurality of straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5. And is stored in the comparison feature database 141.
  • each straight pipe portion and the curved pipe portion are set as matching targets, and the pipe is specified. It is characterized by performing processing. As described above, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portion and the curved pipe portion on the downstream side thereof are set as matching targets, so that only the straight pipe portion 1518_1 is set as a matching target. The recognition rate of the pipe 1518 can be increased as compared with the case.
  • FIG. 7 is an example of a flowchart showing the flow of the pipe recognition process in the plant equipment recognition system according to the second embodiment.
  • FIG. 8A and FIG. 8B are examples of diagrams showing display examples of confirmation screens in the piping unit recognition processing.
  • FIG. 9 is an example of a flowchart showing a flow of valve unit recognition processing in the plant equipment recognition system according to the second embodiment.
  • FIG. 10 is an example of a diagram illustrating a display example of a confirmation screen in the valve unit recognition process.
  • the piping unit recognition process and the valve unit recognition process in the plant equipment recognition system according to the second embodiment are the mobile terminals of the plant equipment recognition system 1 according to the first embodiment and the second embodiment shown in FIG. 10 is performed under the control of the processor that constructs the digital system of the mobile terminal 10.
  • the straight pipe portion 1518_1 directly connected to the valve 1511 is referred to as pipe # 1, and the straight pipe that follows the pipe # 1.
  • the parts 1518_2, 1518_3,... Will be referred to as sequence piping # 1sq1, # 1sq2,.
  • Step S31 the processor captures an image of the pipe # 1 (step S31), and then displays the confirmation screen 1 illustrated in FIG. 8A on the display unit 15 of the mobile terminal 10, for example. (Step S32).
  • the processor determines whether or not the pipe # 1 has been recognized based on the narrowing-down condition checked by the operator as “Check” (step S33).
  • This recognition process can be executed under the recognition process in the first embodiment. If the pipe # 1 is a characteristic pipe such as a pipe having a particularly large pipe diameter, the pipe # 1 can be recognized by the determination process in step S33.
  • the fact that the pipe # 1 has been recognized means that the pipe 1518 connected to the valve 1511 has been recognized.
  • step S34 determines whether or not the sequence piping has been shot. If the sequence piping has been shot (S34). Yes), an image of sequence piping # 1sq1 is captured (step S35), and then the confirmation screen 2 shown in FIG. 8B is displayed (step S36).
  • the processor determines whether or not the imaging of the sequence piping has been completed (step S37), and if it has not been completed (No in S37), the process returns to step S35 and repeats the processes of steps S35 and S36.
  • the confirmation screen 2 shown in FIG. 8B shows a display example in which the pipe diameter, pipe length, pipe height, and pipe direction (horizontal direction H / vertical direction V) up to the sequence pipe # 1 sq2 (straight pipe portion 1518_3) are displayed. ing.
  • the confirmation screen 2 also recognizes the sequence pipes # 1sq1 and # 1sq2 with respect to the pipe diameter, pipe length, pipe height, and pipe direction (horizontal direction H / vertical direction V). The operator performs a “check” check as to whether or not to enter the narrowing-down conditions.
  • step S38 the processor saves the check results on the confirmation screens 1 and 2 in a file with a different file name, and updates the candidate for the valve 1511 (step S38). If it is determined in step S33 that pipe # 1 has been recognized (Yes in S33), or if it is determined in step S34 that sequence piping has not been photographed (No in S34), the process directly proceeds to step S38.
  • the processor determines whether or not the number of pipes connected to the valve 1511 is one (step S39). If it is not one (No in S39), photographing of all the pipes connected to the valve 1511 is completed. Whether or not (step S40). If the imaging of all the connected pipes has not been completed (No in S40), the processor returns to step S31 and repeatedly executes the above-described series of piping unit recognition processes. In addition, when the number of valve candidates related to the valve 1511 is narrowed down to one (Yes in S39), or when all of the connected pipes have been photographed (Yes in S40), the processor performs the above-described series of piping unit recognition processing. finish.
  • the processor takes in the number of pipe connections of the valve 1511 input by the operator (step S41).
  • the number of pipe connections 3 is input by the operator.
  • the processor selects a desired file, for example, the latest file from the result files updated in step S38 (step S42), and then displays the confirmation screen 3 (step S43).
  • the confirmation screen 3 displays a plurality of similar candidates for the pipe connected to the valve 1511 as a result file.
  • two candidates # 1_1 and # 1_2 are displayed for the result file of pipe # 1
  • two candidates # 2_1 and # 2_2 are displayed for the result file of pipe # 2.
  • the operator can perform a “check” check as to whether or not to add the contents of the result file to the list output condition.
  • the worker corrects the data of the result file contents by the “check” check. That is, the worker confirms the narrowing conditions on the confirmation screen 3.
  • the processor updates the file with respect to the result file contents subjected to the data correction (step S44), and then outputs the narrowing result as a valve list (plant facility equipment candidate list) (step S45).
  • the pipe to be subjected to the specific processing is a pipe including one or a plurality of curved pipe portions, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portion on the downstream side thereof.
  • the recognition rate of the pipe 1518 can be increased.
  • the recognition rate of a valve that is an example of plant equipment can be increased.
  • pipe information such as pipe diameter, pipe length, pipe height, pipe direction (horizontal direction H / vertical direction V) is used as the second feature quantity that is a comparative feature quantity.
  • identification information such as a line number assigned to each pipe (straight pipe portion / curved pipe portion) for specifying the pipe can be used as the second feature amount.
  • identification information such as a line number may be read using a well-known character recognition technique, and piping may be specified from the read result.
  • information such as the number of straight pipe portions and curved pipe portions may be used as the second feature amount.
  • the third embodiment is an example in which the plant equipment recognition system according to the first embodiment or the plant equipment recognition system according to the second embodiment is used as a navigation system that does not use radio.
  • a plant facility equipment recognition system according to the third embodiment will be described with reference to FIG.
  • FIG. 11 is an example of a block diagram showing the configuration of a plant equipment recognition system according to the third embodiment of the present invention.
  • the plant facility equipment to be worked is narrowed down by the action of the feature quantity acquisition unit 12 and the feature quantity comparison control unit 14. Then, the facility information display control unit 13 acquires facility information including the work instruction content of the plant facility equipment to be worked from the facility information database 131, and the facility information display unit 135 displays the facility information.
  • the current position of the mobile terminal 10 can be specified. Therefore, for example, a worker wears a wearable device that is an example of the mobile terminal 10 and moves while specifying surrounding piping from the time of entering the area (plant facility) where the plant facility device is installed. Thus, information on the movement route from the area entrance to the current position can be acquired.
  • the plant equipment recognition system 1 includes a function unit of the mobile terminal 10 in addition to the area specifying unit 11, the feature amount acquisition unit 12, the facility information display control unit 13, and the feature amount comparison control unit 14. As one of them, a movement route presentation unit 16 that presents a movement route from the area entrance of the mobile terminal 10 to the current position is provided.
  • the movement route presentation unit 16 includes a map information database 161, a current position display unit 162, and a movement route display unit 163.
  • the map information database 161 is a database of map information in an area (plant facility) where plant equipment is installed, specifically, information such as installation positions and passages of piping and plant equipment.
  • the current position display unit 162 and the movement route display unit 163 are display units of the mobile terminal 10 and display the current position and movement route of the mobile terminal 10.
  • the current position of the mobile terminal 10 can be determined by using the technology of the first embodiment that can identify the current position of the mobile terminal 10 from the installation position of the piping and plant equipment. And a moving route from the area entrance to the current position can be displayed.
  • the movement route presentation unit 16 can store and hold the movement route from the area entrance to the current position.
  • the plant facility equipment recognition system 1 according to the third embodiment can be used as a mobile navigation system that does not use radio.
  • the plant facility equipment recognition system 1 according to the third embodiment can have a mobile navigation function.
  • the movement route presentation unit 16 has a function of storing and holding the movement route of the mobile terminal 10, estimating a place that cannot be passed from the movement route that is stored and holding, and presenting a movement route that avoids the place. be able to. As a result, it is possible to estimate a place that cannot be passed during the next movement and to present a movement route that avoids the place.
  • valve to which piping is connected has been described as an example, but the present invention is not limited to application to a valve, and a motor to which piping is connected, etc. It can be applied to general equipment with pipes connected.

Abstract

The purpose of the present invention is to provide a plant equipment recognition system capable of accurately recognizing plant equipment even in a plant wherein wireless equipment or markers cannot be installed, or where the equipment differs in form from the design data or the form thereof has been modified from the design data. Provided is a plant equipment recognition system for recognizing, using mobile terminals provided with cameras, plant equipment to be used , said system being configured to comprise: a feature value acquisition unit for acquiring, as a first feature value, information relating to piping from images obtained by using the cameras to capture images of the plant equipment to be used and the piping present in the vicinity of said equipment; and a feature value comparison unit for comparing the first feature value with a second feature value relating to the piping and acquired from the design data.

Description

プラント設備機器認識システムおよびプラント設備機器認識方法Plant equipment recognition system and plant equipment recognition method
 本発明は、プラント設備機器認識システムおよびプラント設備機器認識方法に関する。 The present invention relates to a plant equipment recognition system and a plant equipment recognition method.
 原子力設備などのプラント設備において、モータやバルブなどのプラント設備機器について、稼働前の試験や稼働後の維持管理などの作業を行うにあたって、作業対象のプラント設備機器ごとの仕様や作業内容などがあらかじめわかっていると、作業効率の向上を図る上で便利である。そのためには、プラント設備機器の個々の設置位置を認識したり、個々の画像を認識したりすることによって、作業対象のプラント設備機器がどのような機器であるかをあらかじめ認識することが必要となる。 In plant facilities such as nuclear power facilities, specifications and work details for each plant equipment to be worked are pre-determined when performing pre-operation tests and maintenance management after operation for plant equipment such as motors and valves. Knowing this is useful for improving work efficiency. To that end, it is necessary to recognize in advance what kind of plant equipment is to be worked on by recognizing individual installation positions of plant equipment and / or recognizing individual images. Become.
 従来、位置認識には、GPS(Global Positioning System)、携帯電話基地局、無線LAN基地局等を利用した測位技術が広く利用されている。画像認識の技術としては、マーカを用いて現在位置を同定する自己位置特定方法が知られている。また、物体そのものを画像認識し、比較対象として別途用意したモデルとの画像マッチングによって物体を認識する技術も知られている。例えば、移動体に搭載したカメラを利用して、画像内の特徴量を分析するとともに、SFM手法を用いて移動に伴う各時点の移動体の位置と、各特徴部の相対的な位置関係を演算して求めた特徴量とを比較してマッチングを行う技術がある(例えば、特許文献1参照)。 Conventionally, positioning technology using GPS (Global Positioning System), mobile phone base stations, wireless LAN base stations, and the like has been widely used for position recognition. As an image recognition technique, a self-position specifying method for identifying a current position using a marker is known. There is also known a technology for recognizing an object itself and recognizing the object by image matching with a model separately prepared as a comparison target. For example, using a camera mounted on a moving body, the feature amount in the image is analyzed, and the position of the moving body at each time point associated with the movement and the relative positional relationship of each feature portion are analyzed using the SFM method. There is a technique in which matching is performed by comparing feature quantities obtained by calculation (see, for example, Patent Document 1).
 特許文献1には、「車載のカメラから参照地点付近で撮影された複数の実画像を入力し、その中から特徴部を抽出して第1の特徴情報とする。地図DBから対応する第2の特徴情報を読み出して取得する。第1、第2の特徴情報の特徴部を比較してマッチングすることにより、各特徴部の位置を推定し、当該位置をもとに、SFM手法を用いて、移動に伴う各時点の自車の位置と上記各特徴部の位置との相対的な位置関係を演算することで、自車現在位置を推定する。」と記載されている。 In Patent Literature 1, “a plurality of real images taken in the vicinity of a reference point from an in-vehicle camera are input, and a feature portion is extracted from them as first feature information. The second feature corresponding to the map DB. The feature information of the first and second feature information is compared and matched to estimate the position of each feature, and based on the position, the SFM method is used. The current position of the host vehicle is estimated by calculating the relative positional relationship between the position of the host vehicle at each point of time associated with the movement and the position of each of the features.
 また、撮影画像から特徴量を抽出する際に、撮影した実画像をオルソ修正した画像を用い、比較対象となる三次元座標データとのマッチングを行って物体を認識する技術がある(例えば、特許文献2参照)。特許文献2には、「カメラによって撮影された現在の実画像オルソ修正したものと、サーバから取得した三次元座標データとについて、それぞれ特徴点を抽出し、この抽出した特徴点同士をマッチングすることによりモバイル端末の自己位置を推定する。」と記載されている。 There is also a technique for recognizing an object by extracting a feature value from a captured image by using an image obtained by ortho-correcting a captured actual image and performing matching with three-dimensional coordinate data to be compared (for example, patents). Reference 2). Patent Document 2 states that “feature points are extracted for the current real image ortho-corrected by the camera and the three-dimensional coordinate data acquired from the server, and the extracted feature points are matched with each other. Is used to estimate the self-position of the mobile terminal. "
特開2012-127896号公報JP 2012-127896 A 特開2016-170060号公報Japanese Unexamined Patent Publication No. 2016-170060
 ところで、原子力設備などのプラント設備の内部では、通常、GPSに代表される無線やマーカを利用することができない。したがって、プラント設備の内部においては、プラント設備機器を認識するのに、無線やマーカを利用する場合が多い従来の自己位置特定方法を利用できるとは限らない。また、プラント設備機器は、設計時のCAD(Computer-Aided Design)データと形状が異なる、もしくは形状が変更されていることがしばしばある。このため、プラント設備機器の実画像と、設計データに基づく画像とのマッチングがとれず、プラント設備機器を的確に認識することができないことになる。 By the way, radio and typified by GPS cannot be used inside plant facilities such as nuclear facilities. Therefore, in the plant facility, it is not always possible to use a conventional self-localization method that often uses radio or a marker to recognize the plant facility device. Further, the plant equipment is often different in shape from CAD (Computer-Aided Design) data at the time of design or the shape is changed. For this reason, matching between the actual image of the plant equipment and the image based on the design data cannot be obtained, and the plant equipment cannot be accurately recognized.
 本発明は、無線設備やマーカを設置できないプラント設備においても、また設計データと形状が異なる、もしくは形状が変更されている場合であっても、プラント設備機器を的確に認識することができるプラント設備機器認識システムおよびプラント設備機器認識方法を提供することを目的とする。 The present invention is a plant facility capable of accurately recognizing a plant facility device even in a plant facility where a wireless facility or a marker cannot be installed, and even when the shape is different from the design data or the shape is changed. An object is to provide a device recognition system and a plant facility device recognition method.
 上記課題を解決するために、例えば請求の範囲に記載の構成を採用する。
 本願は、上記課題を解決する手段を複数含んでいるが、その一例を挙げるならば、
 カメラを備えるモバイル端末を用いて、プラント設備内における作業対象のプラント設備機器を認識するプラント設備機器認識システムにおいて、
 作業対象のプラント設備機器および当該プラント設備機器の周辺に存在する配管をカメラで撮影して得られる画像から、配管に関する情報を第1の特徴量として取得する特徴量取得部と、
 第1の特徴量と、設計データから取得される前記配管に関する第2の特徴量とを比較する特徴量比較部と、
 を備えることを特徴とする。
In order to solve the above problems, for example, the configuration described in the claims is adopted.
The present application includes a plurality of means for solving the above problems.
In a plant equipment recognition system for recognizing plant equipment to be worked in plant equipment using a mobile terminal equipped with a camera,
A feature amount acquisition unit that acquires information about piping as a first feature amount from an image obtained by photographing the plant facility device to be worked and the piping existing around the plant facility device with a camera;
A feature amount comparison unit that compares the first feature amount and a second feature amount relating to the piping acquired from design data;
It is characterized by providing.
 本発明によれば、無線設備やマーカを設置できないプラント設備においても、また設計データ(設計時のCADデータ)と形状が異なる、もしくは変更されている場合であっても、作業対象のプラント設備機器を的確に認識することができる。 According to the present invention, even in a plant facility where a radio facility or a marker cannot be installed, and even when the shape is different from or changed from the design data (CAD data at the time of design), the plant facility device to be worked on Can be accurately recognized.
本発明の第1実施形態に係るプラント設備機器認識システムの構成を示すブロック図の例である。It is an example of the block diagram which shows the structure of the plant equipment apparatus recognition system which concerns on 1st Embodiment of this invention. モバイル端末の表示部に表示される表示画面の一例を示す図の例である。It is an example of the figure which shows an example of the display screen displayed on the display part of a mobile terminal. 本発明の第1実施形態に係るプラント設備機器認識方法の処理の流れを示すフローチャートの例である。It is an example of the flowchart which shows the flow of a process of the plant equipment apparatus recognition method which concerns on 1st Embodiment of this invention. 第1実施形態に係るプラント設備機器認識方法の特定の処理における、モバイル端末の表示画面の表示例(その1)を示す図の例である。It is an example of the figure which shows the example of a display of the display screen of a mobile terminal in the specific process of the plant facility equipment recognition method which concerns on 1st Embodiment (the 1). 第1実施形態に係るプラント設備機器認識方法の特定の処理における、モバイル端末の表示画面の表示例(その2)を示す図の例である。It is an example of the figure which shows the example of a display of the display screen of a mobile terminal in the specific process of the plant facility equipment recognition method which concerns on 1st Embodiment (the 2). バルブに接続された、曲管部(エルボ)を含む配管の一例を示す概略図の例である。It is an example of the schematic diagram which shows an example of piping containing the curved pipe part (elbow) connected to the valve | bulb. 第2実施形態に係るプラント設備機器認識システムにおける配管部の認識処理の流れを示すフローチャートの例である。It is an example of the flowchart which shows the flow of the recognition process of the piping part in the plant equipment apparatus recognition system which concerns on 2nd Embodiment. 配管部の認識処理における確認画面の表示例を示す図の例である。It is an example of the figure which shows the example of a display of the confirmation screen in the recognition process of a piping part. 第2実施形態に係るプラント設備機器認識システムにおけるバルブ部の認識処理の流れを示すフローチャートの例である。It is an example of the flowchart which shows the flow of the recognition process of the valve | bulb part in the plant equipment apparatus recognition system which concerns on 2nd Embodiment. バルブ部の認識処理における確認画面の表示例を示す図の例である。It is an example of the figure which shows the example of a display of the confirmation screen in the recognition process of a valve | bulb part. 本発明の第3実施形態に係るプラント設備機器認識システムの構成を示すブロック図の例である。It is an example of the block diagram which shows the structure of the plant equipment apparatus recognition system which concerns on 3rd Embodiment of this invention.
 以下、本発明を実施するための形態(以下、「実施形態」と記述する)について図面を用いて詳細に説明する。本発明は実施形態に限定されるものではない。なお、以下の説明や各図において、同一要素又は同一機能を有する要素には同一符号を用いることとし、重複する説明は省略する。 Hereinafter, modes for carrying out the present invention (hereinafter referred to as “embodiments”) will be described in detail with reference to the drawings. The present invention is not limited to the embodiment. In the following description and each drawing, the same reference numerals are used for the same elements or elements having the same functions, and duplicate descriptions are omitted.
<プラント設備について>
 原子力設備などのプラント設備において、プラント設備機器には、通常、液体・気体・粉体などの流体の輸送や、電気配線やケーブルなどの保護を目的とする配管が接続されている。プラント設備機器としては、モータやバルブなどの機器を例示することができる。プラント設備では、稼働前にプラント設備機器個々について試験を行ったり、稼働後にプラント設備機器個々の維持管理が行われたりする。
<About plant equipment>
In plant facilities such as nuclear facilities, plant facilities are usually connected with piping for the purpose of transporting fluids such as liquid, gas, and powder, and protecting electrical wiring and cables. Examples of plant facility equipment include equipment such as motors and valves. In the plant facility, a test is performed on each plant facility device before operation, and maintenance and management of each plant facility device is performed after operation.
 稼働前の試験や稼働後の維持管理において、作業対象のプラント設備機器の種類や、同じ種類のプラント設備機器でも設置位置(設置場所)の違いなど、個々のプラント設備機器によって仕様や作業内容などが異なる。したがって、モータやバルブなどのプラント設備機器について、稼働前の試験や稼働後の維持管理を行うにあたって、作業効率の向上を図る上で、プラント設備機器個々の仕様や作業内容などがあらかじめわかっていることが好ましい。 In pre-operation testing and maintenance management after operation, specifications and work contents, etc., vary depending on the individual plant equipment, such as the type of plant equipment to be worked on and the installation position (installation location) of the same type of plant equipment. Is different. Therefore, for plant equipment such as motors and valves, in order to improve work efficiency when conducting pre-operation testing and maintenance management after operation, the specifications and work contents of each plant equipment are known in advance. It is preferable.
 プラント設備機器個々の仕様や作業内容などをあらかじめ知るには、プラント設備機器の個々の設置位置を認識したり、個々の画像を認識したりすることによって、作業対象のプラント設備機器がどのような機器であるかをあらかじめ認識することが必要となる。ただし、原子力設備などのプラント設備の内部では、一般的に、GPSに代表される無線やマーカを利用することができない。また、プラント設備機器は、設計時のCADデータと形状が異なる、もしくは形状が変更されていることがしばしばある。 In order to know in advance the specifications and work contents of individual plant equipment, what kind of plant equipment is to be worked on by recognizing the individual installation positions of the plant equipment and recognizing individual images. It is necessary to recognize in advance whether it is a device. However, generally, a radio or a marker represented by GPS cannot be used inside a plant facility such as a nuclear facility. Further, the plant equipment is often different in shape from the CAD data at the time of design or the shape is changed.
 以下に、上記した環境下、即ち、無線設備やマーカを設置できないプラント設備においても、また設計時のCADデータと形状が異なる、もしくは形状が変更されている場合であっても、作業対象のプラント設備機器について的確に認識できるシステム(方法)の実施形態について説明する。 In the following environment, that is, even in a plant facility where radio equipment and markers cannot be installed, and even if the shape is different from the CAD data at the time of design or the shape is changed, the plant to be worked on An embodiment of a system (method) capable of accurately recognizing facility equipment will be described.
<第1実施形態>
[プラント設備機器認識システムの構成]
 図1は、本発明の第1実施形態に係るプラント設備機器認識システムの構成を示すブロック図の例である。本実施形態に係るプラント設備機器認識システム1は、モバイル端末10および比較用特徴量データベース(DB)作成部20から構成されており、稼働前の試験や稼働後の維持管理を行うにあたって、作業対象のプラント設備機器を自動的に認識する。作業対象のプラント設備機器は、認識対象のプラント設備機器でもある。本実施形態では、作業対象(認識対象)のプラント設備機器が、液体・気体・粉体などの流体の輸送を目的とする配管が接続されたバルブである場合を例示する。
<First Embodiment>
[Configuration of plant equipment recognition system]
FIG. 1 is an example of a block diagram illustrating a configuration of a plant facility equipment recognition system according to the first embodiment of the present invention. The plant equipment recognition system 1 according to the present embodiment includes a mobile terminal 10 and a comparison feature database (DB) creation unit 20, and is a work target for performing tests before operation and maintenance management after operation. Automatically recognizes plant equipment. The plant facility equipment to be worked is also the plant equipment to be recognized. In the present embodiment, the case where the plant equipment to be worked (recognized) is a valve to which a pipe for the purpose of transporting fluid such as liquid, gas, and powder is connected.
 モバイル端末10は、プロセッサやメモリなどが集積されてなるマイクロコンピュータ(マイクロコントローラ)によってデジタルシステムが構築されており、エリア特定部11、特徴量取得部12、設備情報表示制御部13および特徴量比較制御部14の各機能部を有する。モバイル端末10の各機能部の詳細については後述する。 The mobile terminal 10 has a digital system constructed by a microcomputer (microcontroller) in which a processor, a memory, and the like are integrated, and includes an area specifying unit 11, a feature amount acquisition unit 12, an equipment information display control unit 13, and a feature amount comparison. Each function unit of the control unit 14 is included. Details of each functional unit of the mobile terminal 10 will be described later.
 比較用特徴量データベース作成部20は、CADデータ記憶部21、撮像データ記憶部22および特徴量作成部23によって構成されている。CADデータ記憶部21は、設計時のCADデータ(即ち、設計データ)を記憶保持する。CADデータとしては、プラント設備内における配管の配管径、配管長および床もしくは壁から配管までの距離等の三次元設計データを例示することができる。撮像データ記憶部22は、後述するカメラ122による現場での撮像データを記憶保持する。 The comparison feature quantity database creation unit 20 includes a CAD data storage unit 21, an imaging data storage unit 22, and a feature quantity creation unit 23. The CAD data storage unit 21 stores and holds CAD data at the time of design (that is, design data). Examples of CAD data include three-dimensional design data such as the pipe diameter, pipe length, and distance from the floor or wall to the pipe in the plant equipment. The imaging data storage unit 22 stores and holds imaging data in the field by a camera 122 described later.
 特徴量作成部23は、CADデータ記憶部21および撮像データ記憶部22の各記憶データ、即ち設計時のCADデータおよび現場での撮像データを用いて、配管の比較用特徴量を作成(抽出)する。比較用特徴量としては、配管径、配管長、配管高(床もしくは壁から配管までの距離)、配管の向き(鉛直/水平)、複数の配管同士の位置関係、プラント設備機器に接続される配管情報などを例示することができる。 The feature quantity creation unit 23 creates (extracts) a comparative feature quantity for piping using each storage data of the CAD data storage unit 21 and the imaging data storage unit 22, that is, CAD data at the time of design and imaging data at the site. To do. Features for comparison include pipe diameter, pipe length, pipe height (distance from floor or wall to pipe), pipe orientation (vertical / horizontal), positional relationship between multiple pipes, and plant equipment Piping information etc. can be illustrated.
(モバイル端末)
 以下に、モバイル端末10の各機能部、即ち、エリア特定部11、特徴量取得部12、設備情報表示制御部13および特徴量比較制御部14の詳細について説明する。
(mobile computer)
Below, the detail of each function part of the mobile terminal 10, ie, the area specific | specification part 11, the feature-value acquisition part 12, the equipment information display control part 13, and the feature-value comparison control part 14 is demonstrated.
 エリア特定部11は、GPS111、電子コンパス112、ビーコン113、WiFi(登録商標)114、マーカ読取部115およびエリア情報収集部116によって構成されており、作業対象(認識対象)のプラント設備機器が設置されている認識対象エリアを特定する。 The area specifying unit 11 includes a GPS 111, an electronic compass 112, a beacon 113, a WiFi (registered trademark) 114, a marker reading unit 115, and an area information collecting unit 116, and a plant facility device that is a work target (recognition target) is installed. Identify the recognition target area.
 GPS111は、衛星通信を利用してモバイル端末10の位置情報を取得する。電子コンパス112は、方位計の一例であり、地磁気を検知してモバイル端末10の方位情報を取得する。ビーコン113は、認識対象エリア内に複数設置したビーコン親機との通信でモバイル端末10の位置情報を取得する。WiFi(登録商標)114は、モバイル端末10を無線でLAN(Local Area Network)と接続する。マーカ読取部115は、モバイル端末10の位置を特定するために認識対象エリア内に複数貼り付けられているマーカを読み取る。 The GPS 111 acquires position information of the mobile terminal 10 using satellite communication. The electronic compass 112 is an example of an azimuth meter, and acquires azimuth information of the mobile terminal 10 by detecting geomagnetism. The beacon 113 acquires the position information of the mobile terminal 10 through communication with a plurality of beacon master devices installed in the recognition target area. WiFi (registered trademark) 114 wirelessly connects the mobile terminal 10 to a local area network (LAN). The marker reading unit 115 reads a plurality of markers pasted in the recognition target area in order to specify the position of the mobile terminal 10.
 エリア情報収集部116は、電子コンパス112、ビーコン113、WiFi(登録商標)114およびマーカ読取部115が取得した各種の情報を収集する。エリア特定部11は、エリア情報収集部116が収集した各種の情報を基に、プラント建屋の入口から、認識対象のプラント設備機器が設置されている認識対象エリアまでの、モバイル端末10の大まかな位置情報を取得する。エリア特定部11による認識対象エリアの特定は、電磁的に遮蔽されていない、無線を使用できる環境下に限られる。 The area information collection unit 116 collects various information acquired by the electronic compass 112, the beacon 113, WiFi (registered trademark) 114, and the marker reading unit 115. Based on various information collected by the area information collection unit 116, the area identification unit 11 provides a rough overview of the mobile terminal 10 from the entrance of the plant building to the recognition target area where the recognition target plant equipment is installed. Get location information. The identification of the recognition target area by the area identification unit 11 is limited to an environment where radio waves can be used that are not electromagnetically shielded.
 特徴量取得部12は、ストラクチャセンサ121、カメラ(撮像装置)122、電子コンパス123、特徴量算出部124および特徴量データベース125によって構成されており、カメラ122で撮影して得られる画像や点群データを用いて、配管に関する情報を第1の特徴量として取得する。認識対象エリア内の空間は、通常、電磁的に遮蔽された空間である。したがって、特徴量取得部12は、認識対象エリア内に入室した後、即ち、電磁的に遮蔽されていて、無線が使用できない状況下において、認識対象のプラント設備機器に接続された配管に関する特徴量を取得する。 The feature quantity acquisition unit 12 includes a structure sensor 121, a camera (imaging device) 122, an electronic compass 123, a feature quantity calculation unit 124, and a feature quantity database 125, and images and point clouds obtained by photographing with the camera 122. Using the data, information regarding the piping is acquired as the first feature amount. The space in the recognition target area is usually an electromagnetically shielded space. Therefore, the feature quantity acquisition unit 12 enters the recognition target area, that is, the feature quantity related to the pipe connected to the plant equipment to be recognized in a situation where the shield is electromagnetically shielded and wireless cannot be used. To get.
 ストラクチャセンサ121は、赤外線カメラであり、モバイル端末10から撮影対象物までの距離の二次元情報を取得する。カメラ122は、CCD(Charge Coupled Device)イメージセンサやCMOS(Complementary Metal Oxide Semiconductor)イメージセンサなどからなり、認識対象のプラント設備機器、これに接続されている配管などを含む認識対象エリア内の設備機器を撮影する。電子コンパス123は、地磁気を検知してモバイル端末10の方位情報を取得する。特徴量算出部124は、ストラクチャセンサ121およびカメラ122から与えられる情報を基に、撮像した配管に関する特徴量を第1の特徴量として算出する。特徴量データベース125は、特徴量算出部124によって算出された配管に関する特徴量の数値をデータベース化したものである。 The structure sensor 121 is an infrared camera, and acquires two-dimensional information of the distance from the mobile terminal 10 to the object to be photographed. The camera 122 includes a CCD (Charge-Coupled Device) image sensor, a CMOS (Complementary-Metal-Oxide-Semiconductor) image sensor, and the like, and the equipment in the recognition target area including the plant equipment to be recognized and piping connected thereto. Shoot. The electronic compass 123 acquires azimuth information of the mobile terminal 10 by detecting geomagnetism. The feature amount calculation unit 124 calculates a feature amount related to the captured pipe as the first feature amount based on information given from the structure sensor 121 and the camera 122. The feature value database 125 is a database of feature value values related to piping calculated by the feature value calculation unit 124.
 設備情報表示制御部13は、設備情報データベース131、三次元設備データベース132、電子コンパス133、AR(Augmented Reality:拡張現実)表示部134および設備情報表示部135によって構成されている。 The facility information display control unit 13 includes a facility information database 131, a three-dimensional facility database 132, an electronic compass 133, an AR (Augmented Reality) display unit 134, and a facility information display unit 135.
 設備情報データベース131は、プラント設備機器ごとの仕様や、作業者に対する作業対象のプラント設備機器に関する作業指示内容などを含む設備情報をデータベース化したものであり、認識したプラント設備機器の仕様や作業内容を提示する。この設備情報データベース131に、プラント設備に含まれる構造物、例えば架台、埋め込み金物などの製品、足場などの仮設材、通路など、配管およびプラント設備機器との位置関係を関連付けるデータを含めることができる。これにより、モバイル端末10の近傍に存在する構造物を推定することができる。 The facility information database 131 is a database of facility information including specifications for each plant facility device and work instruction content related to the plant facility device to be worked on by an operator. Present. This facility information database 131 can include data relating the positional relationship with piping and plant facility equipment such as structures included in plant facilities, for example, products such as mounts and embedded hardware, temporary materials such as scaffolds, and passages. . Thereby, the structure which exists in the vicinity of the mobile terminal 10 can be estimated.
 三次元設備データベース132は、CADデータ記憶部21に記憶されている設計時のCADデータと同等のデータ、例えばCADデータを加工した三次元データをデータベース化したものである。電子コンパス133は、地磁気を検知してモバイル端末10の方位情報を取得する。 The three-dimensional equipment database 132 is a database of data equivalent to the CAD data at the time of design stored in the CAD data storage unit 21, for example, three-dimensional data obtained by processing CAD data. The electronic compass 133 detects geomagnetism and acquires the orientation information of the mobile terminal 10.
 AR表示部134は、三次元設備データベース132および電子コンパス133から与えられる情報を基にAR機能を用いて、プラント設備機器の作業指示内容などの設備情報を表示する。設備情報表示部135は、認識した作業対象のプラント設備機器の作業指示内容などの設備情報を表示する。 The AR display unit 134 displays facility information such as work instruction contents of plant facility equipment using the AR function based on the information given from the three-dimensional facility database 132 and the electronic compass 133. The facility information display unit 135 displays facility information such as work instruction contents of the recognized plant facility equipment to be worked.
 特徴量比較制御部14は、比較用特徴量データベース141および特徴量比較部142によって構成されている。 The feature quantity comparison control unit 14 includes a comparison feature quantity database 141 and a feature quantity comparison unit 142.
 比較用特徴量データベース141は、比較用特徴量データベース作成部20の特徴量作成部23で作成された特徴量、即ち三次元設計データ(設計時のCADデータ)から取得される配管に関する情報を、第2の特徴量(比較用特徴量)としてデータベース化したものである。この比較用特徴量データベース141は、第2の特徴量として、プラント設備内における配管の配管径、配管長および床もしくは壁から配管までの距離に加えて、プラント設備機器と配管との位置関係や、プラント設備内における配管同士の位置関係も含むことができる。 The comparison feature quantity database 141 is a feature quantity created by the feature quantity creation unit 23 of the comparison feature quantity database creation unit 20, that is, information about piping acquired from three-dimensional design data (CAD data at the time of design). This is databased as the second feature value (comparison feature value). The comparison feature quantity database 141 includes, as the second feature quantity, in addition to the pipe diameter, pipe length, and distance from the floor or wall to the pipe in the plant equipment, the positional relationship between the plant equipment and the pipe, Moreover, the positional relationship between the pipes in the plant facility can also be included.
 特徴量比較部142は、特徴量データベース125の第1の特徴量と、比較用特徴量データベース141の第2の特徴量とを比較し、該当する認識対象エリア内で一致する特徴量をもつ配管をリストアップする。この第1の特徴量と第2の特徴量との比較において、マッチングの指標となる閾値の設定を、モバイル端末10上で調整可能とすることができる。比較用特徴量データベース141には、プラント設備機器に接続された配管の情報が含まれているため、複数の配管を特定することによって間接的に作業対象のプラント設備機器を推定(特定)することができる。 The feature amount comparison unit 142 compares the first feature amount of the feature amount database 125 with the second feature amount of the comparison feature amount database 141, and has a feature amount that matches in the corresponding recognition target area. To list. In the comparison between the first feature value and the second feature value, the setting of a threshold value serving as a matching index can be adjusted on the mobile terminal 10. Since the comparison feature value database 141 includes information on pipes connected to the plant equipment, it is possible to indirectly estimate (specify) the target plant equipment by specifying a plurality of pipes. Can do.
 なお、本実施形態では、比較用特徴量データベース141について、モバイル端末10上で実施するとしているが、これに限られるものではなく、モバイル端末10とは別に、比較用特徴量データベース作成用端末を設けて、当該比較用特徴量データベース作成用端末で実施することもできる。 In the present embodiment, the comparison feature quantity database 141 is implemented on the mobile terminal 10, but is not limited thereto, and a comparison feature quantity database creation terminal is provided separately from the mobile terminal 10. It can also be implemented by the comparison feature quantity database creation terminal.
(モバイル端末の表示画面)
 ここで、モバイル端末10の表示画面について説明する。図2は、モバイル端末10の表示部に表示される表示画面の一例を示す図の例である。
(Display screen of mobile device)
Here, the display screen of the mobile terminal 10 will be described. FIG. 2 is an example of a diagram illustrating an example of a display screen displayed on the display unit of the mobile terminal 10.
 モバイル端末10は、表示部15のほぼ中央部の画像表示画面151に、モバイル端末10に装備されたカメラ122で撮影した画像、もしくはストラクチャセンサ121で取得した二次元画像(距離の二次元情報)を表示する。本例では、画像表示画面151に、バルブ1511を挟んで設けられた配管1512,1513、バルブ1511で分岐された配管1514、および、配管1512,1513と平行に配設された配管1515が二次元画像として表示された状態を例示している。 The mobile terminal 10 displays an image captured by the camera 122 mounted on the mobile terminal 10 or a two-dimensional image (distance two-dimensional information) acquired by the structure sensor 121 on the image display screen 151 in the substantially central portion of the display unit 15. Is displayed. In this example, the image display screen 151 includes pipes 1512 and 1513 provided across the valve 1511, pipes 1514 branched by the valve 1511, and pipes 1515 provided in parallel with the pipes 1512 and 1513. The state displayed as an image is illustrated.
 モバイル端末10には、表示部15として、液晶パネルや有機ELパネルなどの表示装置と、タッチパッドなどの位置入力装置とを組み合わせたタッチパネル(タッチパネルセンサ)が装備されることが多い。タッチパネルからなる表示部15において、作業者は、画像表示画面151上の配管1512/1513/1514/1515に、指などでタッチすることにより、所望の配管を選択することができる。 The mobile terminal 10 is often equipped with a touch panel (touch panel sensor) that combines a display device such as a liquid crystal panel or an organic EL panel and a position input device such as a touch pad as the display unit 15. In the display unit 15 including a touch panel, the operator can select a desired pipe by touching the pipe 1512/1513/1514/1515 on the image display screen 151 with a finger or the like.
 モバイル端末10は、表示部15の上部に、プラント設備を特定するプラント番号「AAA」や、認識対象エリアを特定するエリア番号「BBB」を表示することができる。モバイル端末10はさらに、作業者によって選択された配管について、配管径「aaa」、配管長「bbb」および配管高「ccc」などの特徴量を表示することができる。このとき、配管径、配管長および配管高などの特徴量については、あらかじめCADデータ記憶部21(図1参照)に記憶保持されているCADデータから取得することができる。 The mobile terminal 10 can display the plant number “AAA” for identifying the plant facility and the area number “BBB” for identifying the recognition target area on the upper part of the display unit 15. Further, the mobile terminal 10 can display feature quantities such as the pipe diameter “aaa”, the pipe length “bbb”, and the pipe height “ccc” for the pipe selected by the operator. At this time, the feature quantities such as the pipe diameter, the pipe length, and the pipe height can be acquired from CAD data stored and held in advance in the CAD data storage unit 21 (see FIG. 1).
 なお、配管高については、配管の床からの高さを認識できる場合に限られる。配管の床からの高さを認識できる場合としては、配管および床を同時に撮影し、ストラクチャセンサ121によって距離の二次元情報を取得できる場合を例示することができる。 Note that the pipe height is limited to the case where the height from the floor of the pipe can be recognized. As a case where the height from the floor of the pipe can be recognized, a case where the pipe and the floor are photographed at the same time and two-dimensional information of the distance can be acquired by the structure sensor 121 can be exemplified.
 また、モバイル端末10は、特徴量比較部142(図1参照)での特徴量比較によって絞り込まれた配管の候補もしくはプラント設備機器の候補のリストを画像表示画面151の右上側にリスト表示画面152として表示することができる。モバイル端末10はさらに、選択された配管もしくはプラント設備機器のプロパティを、画像表示画面151の右下側にプロパティ画面153として表示することができる。 In addition, the mobile terminal 10 displays a list of pipe candidates or plant equipment candidate candidates narrowed down by the feature amount comparison by the feature amount comparison unit 142 (see FIG. 1) on the upper right side of the image display screen 151 on the list display screen 152. Can be displayed as The mobile terminal 10 can further display the property of the selected pipe or plant equipment as a property screen 153 on the lower right side of the image display screen 151.
 なお、画像表示画面151上には、カメラ122による撮像画像の取得や、ストラクチャセンサ121によるモバイル端末10から撮影対象物までの距離の二次元情報の取得を指示するためのSCANボタン154を表示することができる。SCANボタン154は、撮像装置(カメラ)のシャッタに相当するものである。このSCANボタン154を作業者が押すことにより、撮像画像や距離の二次元情報を取得することができる。なお、SCANボタン154を表示する位置は、図2に示す表示位置に限定されるものではない。 On the image display screen 151, a SCAN button 154 for instructing acquisition of a captured image by the camera 122 and acquisition of two-dimensional information of the distance from the mobile terminal 10 to the photographing object by the structure sensor 121 is displayed. be able to. The SCAN button 154 corresponds to a shutter of the imaging device (camera). When the operator presses the SCAN button 154, the captured image and the two-dimensional information of the distance can be acquired. The position where the SCAN button 154 is displayed is not limited to the display position shown in FIG.
(床、壁、配管抽出のイメージ)
 図1に示したストラクチャセンサ121により、モバイル端末10から撮影対象物までの距離の二次元情報(二次元画像)を得ることができる。ストラクチャセンサ121は、例えば赤外線を撮影対象物に照射し、当該撮影対象物で反射した光を測定することによって距離の二次元情報を得ることができる。そして、二次元情報として得られた距離情報から、距離の変化量に応じて平面もしくは曲面を抽出することができる。これにより、床・壁や配管を識別することができる。
(Image of floor, wall and pipe extraction)
With the structure sensor 121 shown in FIG. 1, two-dimensional information (two-dimensional image) of the distance from the mobile terminal 10 to the object to be imaged can be obtained. The structure sensor 121 can obtain the two-dimensional information of the distance by, for example, irradiating the imaging object with infrared rays and measuring the light reflected by the imaging object. Then, a plane or a curved surface can be extracted from the distance information obtained as the two-dimensional information according to the amount of change in distance. Thereby, a floor, a wall, and piping can be identified.
 画像処理手法としては、例えば距離の二次元情報から平面を得る場合、PCL(Point Cloud Library)モジュールを用いて平面部の点群を抽出し、平面近似式を算出する手法を用いることができる。PCLモジュールは、オープンソースの3Dポイントクラウドデータ処理をまとめたライブラリである。 As an image processing method, for example, when a plane is obtained from two-dimensional information of distance, a method of extracting a point cloud of a plane portion using a PCL (Point Cloud Library) module and calculating a plane approximation formula can be used. The PCL module is a library that summarizes open source 3D point cloud data processing.
 また、壁からの距離(壁までの距離)として、隣り合う2つの壁で形成される交線との距離を利用することができる。具体的には、二つの平面式を算出して交線を導き、配管については始点と終点を抽出して直線式を導くことにより、双方の線間距離を算出する。円柱配管の認識としては、例えば配管径を抽出するには、円柱の側面の2本の境界線の距離を求める。円柱側面は曲面となっているため、法線ベクトルを考慮すれば、上記2本の境界線が円柱の側面となっているかを判別できる。 Also, as the distance from the wall (distance to the wall), the distance from the intersection line formed by two adjacent walls can be used. More specifically, the distance between the two lines is calculated by calculating two plane expressions and deriving an intersection line and extracting the start point and the end point of the pipe and deriving a linear expression. As cylinder pipe recognition, for example, in order to extract the pipe diameter, the distance between two boundary lines on the side surface of the cylinder is obtained. Since the cylinder side surface is a curved surface, it is possible to determine whether the two boundary lines are the side surfaces of the cylinder by considering the normal vector.
 また、配管から壁までの距離として、四方に存在する壁を撮像することにより、現在位置と周りの壁までの距離を把握することができる。プラント設備の壁の突合せ部は直交している場合が多く、周りの壁までの距離から認識対象エリア内の場所を推定することができる。 Also, as the distance from the pipe to the wall, it is possible to grasp the current position and the distance to the surrounding walls by imaging the walls existing in all directions. In many cases, the butt portion of the wall of the plant equipment is orthogonal, and the location in the recognition target area can be estimated from the distance to the surrounding wall.
[プラント設備機器認識方法]
 次に、本発明の第1実施形態に係るプラント設備機器認識方法について説明する。本実施形態に係るプラント設備機器認識方法は、上記した構成の第1実施形態に係るプラント設備機器認識システム1のモバイル端末10において、当該モバイル端末10のデジタルシステムを構築するプロセッサによる制御の下に実施される。
[Plant equipment recognition method]
Next, a plant facility equipment recognition method according to the first embodiment of the present invention will be described. The plant equipment recognition method according to the present embodiment is controlled by a processor that constructs a digital system of the mobile terminal 10 in the mobile terminal 10 of the plant equipment recognition system 1 according to the first embodiment having the above-described configuration. To be implemented.
 図3は、本発明の第1実施形態に係るプラント設備機器認識方法の処理の流れを示すフローチャートの例である。また、図4および図5は、第1実施形態に係るプラント設備機器認識方法の特定の処理における、モバイル端末10の表示画面の表示例(その1)および表示例(その2)を示す図の例である。 FIG. 3 is an example of a flowchart showing a processing flow of the plant facility equipment recognition method according to the first embodiment of the present invention. 4 and 5 are diagrams showing a display example (part 1) and a display example (part 2) of the display screen of the mobile terminal 10 in the specific process of the plant facility equipment recognition method according to the first embodiment. It is an example.
 第1実施形態に係るプラント設備機器認識方法の処理の実施に先立って、比較用特徴量データベース作成部20において、設計時のCADデータおよび現場での撮像データを用いて、作業対象(認識対象)のプラント設備機器に接続されている配管の比較用特徴量を作成する処理が行われることを前提とする。そして、比較用特徴量データベース作成部20で作成された配管の比較用特徴量は、比較用特徴量データベース141としてデータベース化されていることとする。 Prior to execution of processing of the plant facility equipment recognition method according to the first embodiment, the comparison feature database creation unit 20 uses CAD data at the time of design and imaging data at the work site (recognition target). It is assumed that a process for creating a comparison feature amount of piping connected to the plant equipment is performed. The comparison feature quantity of piping created by the comparison feature quantity database creation unit 20 is assumed to be databased as a comparison feature quantity database 141.
 先ず、プロセッサは、エリア特定部11の機能を用いて、特徴量マッチングによる画像認識を実施する、モバイル端末10の初期位置を設定する(ステップS11)。具体的には、プロセッサは、GPS、WiFi、マーカ、ビーコンなどの位置を特定する目的で利用可能なエリア特定部11の機能を用いて、モバイル端末10の初期位置を特定し、設定する。例えば、プラント建屋外からプラント建屋を特定する場合は、屋外での位置特定となるため、GPSを利用した位置決め(位置特定)が可能である。 First, the processor uses the function of the area specifying unit 11 to set the initial position of the mobile terminal 10 that performs image recognition by feature amount matching (step S11). Specifically, the processor specifies and sets the initial position of the mobile terminal 10 using the function of the area specifying unit 11 that can be used for the purpose of specifying the position of GPS, WiFi, marker, beacon, and the like. For example, when the plant building is specified from the outside of the plant building, the position is specified outdoors, and therefore positioning (position specifying) using GPS is possible.
 なお、上記の例では、プロセッサによる制御の下に、エリア特定部11の機能を用いてモバイル端末10の初期位置を設定する手法を例示したが、この設定手法に限られるものではない。例えば、プラント番号もしくはエリア番号が事前に分かっている場合には、作業者による手入力によってモバイル端末10の初期位置を設定する手法をとることもできる。 In the above example, the method of setting the initial position of the mobile terminal 10 using the function of the area specifying unit 11 under the control of the processor is illustrated. However, the method is not limited to this setting method. For example, when the plant number or the area number is known in advance, a method of setting the initial position of the mobile terminal 10 by manual input by an operator can be taken.
 次に、プロセッサは、作業者による操作の下に、特定したい(認識したい)プラント設備機器および当該設備機器に接続されている配管を撮影する(ステップS12)。具体的には、プロセッサは、プラント設備機器およびその周辺に存在する配管をカメラ122で撮影する。図4Aは、特定したいプラント設備機器およびその周辺に存在する配管をモバイル端末10のカメラ122で撮影した例である。図4Aの表示画面は、図2の表示画面に対応している。画像表示画面151上には、SCANボタン154も表示されている。 Next, under the operation of the operator, the processor photographs the plant equipment that is desired to be identified (recognized) and the piping connected to the equipment (step S12). Specifically, the processor captures the plant equipment and the piping existing in the vicinity thereof with the camera 122. FIG. 4A is an example in which the plant equipment to be specified and piping existing in the vicinity thereof are photographed by the camera 122 of the mobile terminal 10. The display screen in FIG. 4A corresponds to the display screen in FIG. A SCAN button 154 is also displayed on the image display screen 151.
 次に、プロセッサは、画像表示画面151上に表示されているSCANボタン154が作業者によって押されたか否かを判断し(ステップS13)、SCANボタン154が押されると(S13のYes)、カメラ122による画像情報およびストラクチャセンサ121による距離の二次元情報を取得する(ステップS14)。 Next, the processor determines whether or not the SCAN button 154 displayed on the image display screen 151 has been pressed by the operator (step S13). When the SCAN button 154 is pressed (Yes in S13), the camera The image information by 122 and the two-dimensional information of the distance by the structure sensor 121 are acquired (step S14).
 次に、プロセッサは、ステップS14で取得した画像情報および距離の二次元情報を基に、撮影した作業対象である認識対象のプラント設備機器の周辺に写っている配管を認識する(ステップS15)。この認識処理では、認識対象のプラント設備機器の周辺に配管が複数写っている場合には、作業者が、特定したい配管をタッチパネルで指定して認識作業を繰り返して実行することになる。 Next, the processor recognizes the pipes that are reflected in the periphery of the recognition-target plant equipment that is the imaged work object, based on the image information acquired in step S14 and the two-dimensional information about the distance (step S15). In this recognition process, when a plurality of pipes are shown around the plant equipment to be recognized, the operator designates the pipe to be specified on the touch panel and repeatedly executes the recognition work.
 図4Bは、1つの配管1512を選択したときの表示画像を示している。このとき、選択した配管については、画像表示画面151上に例えばペイント(図4Bでは、網掛け)が付されて表示される。これにより、作業者は、どの配管に関する確認を行っているかを一目で把握することができる。モバイル端末10の表示部15の上部には、配管1512の配管径が表示され、表示部15の右下部には、配管1512に関する属性情報が表示される。 FIG. 4B shows a display image when one pipe 1512 is selected. At this time, the selected pipe is displayed on the image display screen 151 with, for example, paint (shaded in FIG. 4B). Thereby, the worker can grasp at a glance which piping is being checked. The pipe diameter of the pipe 1512 is displayed on the upper part of the display unit 15 of the mobile terminal 10, and attribute information regarding the pipe 1512 is displayed on the lower right side of the display unit 15.
 次に、プロセッサは、特徴量取得部12の機能を用いて、撮影した画像から作業者が指定した配管の特徴量を取得し(ステップS16)、次いで、撮影した画像から算出した特徴量と、あらかじめ取得している比較用特徴量データベース141の比較用特徴量とのマッチングを行う(ステップS17)。続いて、プロセッサは、撮影した画像から算出した特徴量と比較用特徴量とのマッチング結果が一致か否かを判断し(ステップS18)、不一致であれば(S18のNo)、ステップS12に戻ってステップS12からステップS18までの処理を繰り返す。 Next, the processor acquires the feature amount of the pipe designated by the operator from the captured image using the function of the feature amount acquisition unit 12 (step S16), and then calculates the feature amount calculated from the captured image, Matching with the comparison feature quantity in the comparison feature quantity database 141 acquired in advance is performed (step S17). Subsequently, the processor determines whether or not the matching result between the feature amount calculated from the captured image and the comparison feature amount matches (step S18). If the matching result does not match (No in S18), the processor returns to step S12. Steps S12 to S18 are repeated.
 プロセッサは、マッチング結果が一致であれば(S18のYes)、図5Aに示すように、現時点での配管径に該当する配管候補リストを画像表示画面151の右側のリスト表示画面152に表示し(ステップS19)、次いで、他の配管の認識を続けるか否かを判断する(ステップS20)。他の配管の認識を続けるか否かは、作業者がタッチパネルにて他の配管を選択したか否かによって判断することができる。 If the matching results match (Yes in S18), the processor displays a pipe candidate list corresponding to the current pipe diameter on the list display screen 152 on the right side of the image display screen 151 as shown in FIG. 5A ( Next, it is determined whether or not to continue recognition of other pipes (step S20). Whether or not to continue to recognize other piping can be determined based on whether or not the operator has selected other piping on the touch panel.
 ここで、プラント設備機器に接続される配管をできる限り多く認識すれば、絞込みの情報量が増えることにより、作業対象(認識対象)のプラント設備機器を、唯一に特定できる可能性が高まる。このため、この段階でプラント設備機器の周辺に存在する配管で認識できていないものがあれば、作業者は、再度配管をタッチパネルにて選択し、配管情報を得ることが好ましい。 Here, if as many pipes as possible connected to the plant equipment are recognized, the amount of information to be narrowed increases, so that the possibility of uniquely identifying the plant equipment to be worked (recognized) increases. For this reason, if there is any unrecognized pipe existing around the plant equipment at this stage, the operator preferably selects the pipe again on the touch panel to obtain the pipe information.
 プロセッサは、作業者がタッチパネルにて他の配管を選択した場合、他の配管の認識を続けるものと判断し(S20のYes)、ステップS16に戻ってステップS16からステップS20までの処理を繰り返す。また、プロセッサは、作業者がタッチパネルにて他の配管を選択しない場合、他の配管の認識を続けないものと判断し(S20のNo)、図5Bに示すように、特定された複数もしくは単数の配管情報に紐付けられた機器リスト(プラント設備機器の候補リスト)を表示する(ステップS21)。 When the operator selects another pipe on the touch panel, the processor determines that the recognition of the other pipe is continued (Yes in S20), returns to Step S16, and repeats the processes from Step S16 to Step S20. Further, when the operator does not select another pipe on the touch panel, the processor determines that the recognition of the other pipe is not continued (No in S20), and as shown in FIG. The equipment list (plant facility equipment candidate list) associated with the piping information is displayed (step S21).
 次に、プロセッサは、作業対象(認識対象)のプラント設備機器が唯一に特定されているか否かを判断する(ステップS22)。ここで、プロセッサは、唯一に特定されていなければ(S22のNo)、作業者によるタッチパネルのタッチ操作の下に、プラント設備機器の選択を行い(ステップS23)、次いで、選択したプラント設備機器の機器情報を表示する(ステップS24)。 Next, the processor determines whether or not the plant equipment that is the work target (recognition target) is uniquely identified (step S22). Here, if the processor is not uniquely identified (No in S22), the plant equipment is selected under the touch operation of the touch panel by the operator (Step S23), and then the selected plant equipment is selected. The device information is displayed (step S24).
 この機器情報の表示処理では、機器情報として、プラント設備機器のプロパティの表示処理が行われるとともに、関連する作業リストの表示処理が行われる。そして、作業者が該当する作業項目にタッチして選択すれば、作業対象のプラント設備機器の作業手順書の表示が行われる。プロセッサは、プラント設備機器が唯一に特定されていれば(S22のYes)、直接ステップS24に移行して、特定されているプラント設備機器の機器情報の表示処理を行う。 In the device information display process, the property information of the plant equipment is displayed as the device information, and the related work list display process is performed. Then, when the worker touches and selects the corresponding work item, the work procedure manual of the plant equipment to be worked is displayed. If the plant equipment is uniquely identified (Yes in S22), the processor directly proceeds to step S24 and performs processing for displaying the equipment information of the identified plant equipment.
 上述したように、第1実施形態では、作業対象のプラント設備機器の周辺に存在する配管を、モバイル端末10に装備されたカメラ122で撮影して得られる画像から、配管に関する情報を第1の特徴量として取得する。そして、第1の特徴量と、三次元設計データから取得される配管に関する第2の特徴量とを特徴量比較部142で比較する。これにより、特徴量比較部142の比較結果を基に、作業対象のプラント設備機器の近傍の配管を特定し、この特定した配管からプラント設備機器を絞り込み、作業対象のプラント設備機器として認識(特定/推定)することができる。 As described above, in the first embodiment, information relating to piping is obtained from the image obtained by photographing the piping existing around the plant equipment to be worked with the camera 122 mounted on the mobile terminal 10 as the first information. Acquired as a feature value. Then, the feature quantity comparison unit 142 compares the first feature quantity and the second feature quantity relating to the piping acquired from the three-dimensional design data. As a result, based on the comparison result of the feature value comparison unit 142, the piping near the plant equipment to be worked is identified, the plant equipment is narrowed down from the identified piping, and is recognized as the plant equipment to be worked (specification). / Estimation).
 第1実施形態による認識手法は、作業対象のプラント設備機器そのものを画像マッチング技術によって認識する手法とは異なる。したがって、当該認識手法によれば、作業対象のプラント設備機器が三次元設計データと形状が異なる、もしくは形状が変更されている場合であっても、プラント設備機器を的確に認識することができる。また、モバイル端末10に装備されたカメラ122で撮影して得られる画像を用いているため、無線設備やマーカを設置できないプラント設備においても、作業対象のプラント設備機器を的確に認識することができる。 The recognition method according to the first embodiment is different from the method of recognizing the target plant equipment itself by the image matching technique. Therefore, according to the recognition method, the plant equipment can be accurately recognized even when the target plant equipment is different in shape from the three-dimensional design data or the shape is changed. Moreover, since the image obtained by photographing with the camera 122 equipped in the mobile terminal 10 is used, the plant facility device to be worked can be accurately recognized even in the plant facility where the wireless facility and the marker cannot be installed. .
 また、第1実施形態では、特徴量比較部142の比較結果を基に、配管に関する情報を設備情報表示部135に表示するとともに、当該配管に関する情報から絞り込まれた作業対象のプラント設備機器の設備情報を設備情報表示部135に表示するようにしている。そして、作業対象のプラント設備機器の設備情報として、プラント設備機器の仕様や作業指示内容などを設備情報表示部135に表示することにより、作業者は、仕様や作業指示内容などに沿って作業を実施すればよいため、稼働前の試験や稼働後の維持管理の際の、作業効率の向上を図ることができる。 Moreover, in 1st Embodiment, while displaying the information regarding piping on the facility information display part 135 based on the comparison result of the feature-value comparison part 142, the installation of the plant equipment apparatus of the work object narrowed down from the information regarding the said piping Information is displayed on the facility information display unit 135. Then, by displaying on the facility information display unit 135 the specifications of the plant equipment and the details of the work instructions as the equipment information of the plant equipment to be worked on, the worker can work according to the specifications and the contents of the work instructions. Since it only has to be carried out, it is possible to improve the work efficiency at the time of testing before operation and maintenance after operation.
 また、第1実施形態では、比較対象となる三次元設計データから得られる特徴量については、特有のフォーマットで三次元設備データベース132に保存するようにしているため、モバイル端末10に蓄積するデータのセキュリティを高めることができる。 In the first embodiment, since the feature amount obtained from the 3D design data to be compared is stored in the 3D equipment database 132 in a specific format, the data stored in the mobile terminal 10 Security can be increased.
 また、第1実施形態によれば、モバイル端末10の近傍に存在する複数の配管もしくはプラント設備機器を特定することによってモバイル端末10の位置情報を特定(推定)することができる。したがって、モバイル端末10の位置情報を基に、モバイル端末10の周辺に存在する構造物に関する情報を設備情報表示部135に表示するようにすることもできる。周辺に存在する構造物としては、架台、埋め込み金物などの製品、足場などの仮設材、通路などを例示することができる。 Further, according to the first embodiment, it is possible to specify (estimate) the position information of the mobile terminal 10 by specifying a plurality of pipes or plant equipment devices existing in the vicinity of the mobile terminal 10. Therefore, based on the position information of the mobile terminal 10, information regarding structures existing around the mobile terminal 10 can be displayed on the facility information display unit 135. Examples of the structures existing in the periphery include products such as mounts and embedded hardware, temporary materials such as scaffolds, passages, and the like.
 また、方位計の一例である電子コンパス133を利用できる環境であれば、モバイル端末10の方位を認識することができるため、モバイル端末10の位置情報とその方位情報からカメラ122が撮影する画像を推定することができる。そして、AR表示部134には、設備情報データベース131の設備情報を表示した上で、三次元設備データベース132の三次元画像を重畳表示するようにすることができる。プラント設備機器を対象とした作業を行う場合、その作業指示内容をAR技術によって、カメラ122による撮像画像に重畳して表示することにより、作業ミスを低減させることができる。 In addition, in an environment where an electronic compass 133, which is an example of a direction meter, can be used, the orientation of the mobile terminal 10 can be recognized. Therefore, an image captured by the camera 122 from the position information of the mobile terminal 10 and the orientation information can be obtained. Can be estimated. The AR display unit 134 can display the equipment information of the equipment information database 131 and then superimpose the 3D image of the 3D equipment database 132. When performing work for plant equipment, work errors can be reduced by displaying the work instruction content superimposed on the image captured by the camera 122 using the AR technology.
<第2実施形態>
 第2実施形態は、第1実施形態の変形例であり、作業対象(認識対象)のプラント設備機器の一例であるバルブに接続される配管が曲管部を含む場合の例である。配管の曲管部は、エルボと呼称されるL字形の配管であり、直管部同士を接続することによって配管を分岐・合流させる接続継手管である。プラント内配管は、一般的に、複数の直管部と複数の曲管部とを含み、配管方向を水平方向や鉛直方向に曲げながら設置されている。その一例を図6に示す。
Second Embodiment
2nd Embodiment is a modification of 1st Embodiment, and is an example in case the piping connected to the valve which is an example of the plant equipment apparatus of work object (recognition object) contains a curved pipe part. The curved pipe portion of the pipe is an L-shaped pipe called an elbow, and is a connecting joint pipe that branches and merges the pipes by connecting the straight pipe portions. In-plant piping generally includes a plurality of straight pipe portions and a plurality of curved pipe portions, and is installed while bending the piping direction in a horizontal direction or a vertical direction. An example is shown in FIG.
 図6は、バルブに接続された、曲管部(エルボ)を含む配管の一例を示す概略図の例である。この例では、バルブ1511に3系統の配管1516,1517,1518が接続された配管構造を図示している。また、この配管構造では、3系統の配管1516,1517,1518の各配管径が異なる場合を例示している。そして、配管1518は、例えば、5つの直管部1518_1,1518_2,1518_3,1518_4,1518_5および4つの曲管部1518_6,1518_7,1518_8,1518_9を含んでいる。 FIG. 6 is an example of a schematic diagram illustrating an example of piping including a bent pipe portion (elbow) connected to a valve. In this example, a pipe structure in which three systems of pipes 1516, 1517 and 1518 are connected to the valve 1511 is illustrated. Moreover, in this piping structure, the case where each piping diameter of three piping 1516, 1517, 1518 differs is illustrated. The pipe 1518 includes, for example, five straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, 1518_5 and four curved pipe portions 1518_6, 1518_7, 1518_8, 1518_9.
 曲管部1518_6は、向きが水平方向の直管部1518_1と、向きが鉛直方向の直管部1518_2とを連結している。曲管部1518_7は、向きが鉛直方向の直管部1518_2と、向きが水平方向の直管部1518_3とを連結している。曲管部1518_8は、向きが水平方向の直管部1518_3と、向きが鉛直方向の直管部1518_4とを連結している。曲管部1518_9は、向きが鉛直方向の直管部1518_4と、向きが水平方向の直管部1518_5とを連結している。 The curved pipe portion 1518_6 connects the straight pipe portion 1518_1 whose direction is horizontal and the straight pipe portion 1518_2 whose direction is vertical. The curved pipe part 1518_7 connects the straight pipe part 1518_2 whose direction is vertical and the straight pipe part 1518_3 whose direction is horizontal. The curved pipe portion 1518_8 connects the straight pipe portion 1518_3 whose direction is horizontal and the straight pipe portion 1518_4 whose direction is vertical. The curved pipe portion 1518_9 connects a straight pipe portion 1518_4 whose direction is vertical and a straight pipe portion 1518_5 whose direction is horizontal.
 図6では、曲管部(エルボ)を含む配管として配管1518を例示し、当該配管1518について、バルブ1511から見て下流側の配管部分について図示しているが、配管1516および配管1517についても、配管1518と同様に、単数もしくは複数の曲管部を含む場合がある。 In FIG. 6, the pipe 1518 is illustrated as a pipe including a curved pipe portion (elbow), and the pipe 1518 is illustrated with respect to a pipe portion on the downstream side as viewed from the valve 1511, but the pipe 1516 and the pipe 1517 are also illustrated. Similar to the pipe 1518, there may be a case where one or a plurality of bent pipe parts are included.
 第2実施形態に係るプラント設備機器認識システムの構成は、基本的に、図1に示した第1実施形態に係るプラント設備機器認識システムの構成と同じである。第1実施形態に係るプラント設備機器認識システムでは、バルブ1511に接続された3系統の配管1512,1513,1514をカメラ122で一緒に撮影するとともに、表示部15の画像表示画面151上に一緒に表示し(図2参照)、作業者が、画像表示画面151上で所望の配管を選択するようにしていた。 The configuration of the plant equipment recognition system according to the second embodiment is basically the same as the configuration of the plant equipment recognition system according to the first embodiment shown in FIG. In the plant equipment recognition system according to the first embodiment, the three systems of pipes 1512, 1513, and 1514 connected to the valve 1511 are photographed together by the camera 122, and together on the image display screen 151 of the display unit 15. It is displayed (see FIG. 2), and the operator selects a desired pipe on the image display screen 151.
 しかし、バルブに接続されている複数の配管のいずれかが、例えば足場などの仮設材の陰になって隠れている場合や、特に図6に示すように、配管が複数の直管部や曲管部を含んでいる場合には、バルブに接続されている複数の配管の全てをカメラ122で一緒に撮影することは困難である。 However, if any of the plurality of pipes connected to the valve is hidden behind a temporary material such as a scaffold, for example, as shown in FIG. When the pipe portion is included, it is difficult to photograph all of the plurality of pipes connected to the valve together with the camera 122.
 そこで、第2実施形態では、バルブに接続されている複数の配管について、図6に示すように、カメラ122で個々に(一つずつ)撮影することとする。そして、一つずつ撮影する度に、撮影した個々の配管について、第1実施形態において、作業者が、画像表示画面151上で所望の配管を選択する場合と同様の特定処理を行うことにより、作業対象のプラント設備機器の一例であるバルブの近傍の配管を特定し、この特定した配管からバルブを作業対象のプラント設備機器として認識(特定/推定)する。 Therefore, in the second embodiment, a plurality of pipes connected to the valve are individually photographed (one by one) as shown in FIG. Then, every time one shot is taken, by performing the same specific processing as in the case where the operator selects a desired pipe on the image display screen 151 in the first embodiment, for each taken pipe, A pipe in the vicinity of a valve, which is an example of the plant equipment to be worked, is specified, and the valve is recognized (specified / estimated) from the specified pipe as the plant equipment to be worked.
 また、第2実施形態では、単数もしくは複数の曲管部を含む配管1518を、特定処理の対象配管とするとき、個々の直管部および曲管部をマッチング対象とし、配管の特定処理を行う。すなわち、特定処理の対象となる配管が直管部および曲管部を含むとき、バルブ1511に直接接続されている直管部1518_1のみならず、その下流側の直管部1518_2,1518_3,1518_4,1518_5および曲管部1518_6,1518_7,1518_8,1518_9についてもマッチング対象とする。 In the second embodiment, when a pipe 1518 including one or a plurality of curved pipe portions is a target pipe for specific processing, individual straight pipe portions and curved pipe portions are set as matching targets, and pipe specific processing is performed. . That is, when the pipe to be specified includes a straight pipe portion and a curved pipe portion, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portions 1518_2, 1518_3, 1518_4 on the downstream side thereof. 1518_5 and curved pipe portions 1518_6, 1518_7, 1518_8, and 1518_9 are also subject to matching.
 この配管の特定処理にあたって、配管1518の直管部および曲管部の各々について、配管径、配管長、配管高(床もしくは壁からの配管までの距離)、配管方向(鉛直方向/水平方向)などの管情報を、比較用特徴量(第2の特徴量)として比較用特徴量データベース141にデータベース化する。なお、ここでは、直管部および曲管部の双方について、特徴量をデータベース化するとしたが、曲管部については、一般的に、配管径や形状などが一定であることから、直管部のみについて、特徴量をデータベース化するようにすることも可能である。 In this pipe specific processing, the pipe diameter, pipe length, pipe height (distance from the floor or wall), pipe direction (vertical direction / horizontal direction) for each of the straight pipe portion and the curved pipe portion of the pipe 1518 Are stored in the comparison feature quantity database 141 as a comparison feature quantity (second feature quantity). In this case, the feature values are databased for both the straight pipe part and the curved pipe part. However, since the pipe diameter and shape are generally constant, the straight pipe part is generally used for the curved pipe part. It is also possible to make the feature quantity into a database only for the above.
 具体的には、第2実施形態では、モバイル端末10に装備されたカメラ122で、バルブ1511に接続されている配管1516,1517,1518について一つずつ撮影を行う。そして、配管1518の場合を例に挙げると、第1実施形態の場合と同様に、直管部1518_1,1518_2,1518_3,1518_4,1518_5の特徴量を特徴量取得部12で取得し、特徴量データベース125に格納する。そして、特徴量比較部142において、複数の直管部1518_1,1518_2,1518_3,1518_4,1518_5それぞれに対して比較用特徴量データベース141と照合し、合致する配管候補をリストアップして、設備情報表示部135に表示する。 Specifically, in the second embodiment, the camera 122 mounted on the mobile terminal 10 performs shooting one by one for the pipes 1516, 1517, and 1518 connected to the valve 1511. Taking the case of the pipe 1518 as an example, as in the case of the first embodiment, the feature amount acquisition unit 12 acquires the feature amounts of the straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5, and the feature amount database. Stored in 125. Then, in the feature quantity comparison unit 142, each of the plurality of straight pipe sections 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5 is checked against the comparison feature quantity database 141, and the matching pipe candidates are listed to display equipment information. Displayed on the part 135.
 なお、第1の特徴量については、バルブ1511に接続されている配管が、単数もしくは複数の曲管部を含む場合、CADデータ記憶部21のCADデータを用いて、直管部と曲管部とに分離する。そして、第1実施形態の場合と同様に、複数の直管部1518_1,1518_2,1518_3,1518_4,1518_5に関する第1の特徴量について、CADデータ記憶部21のCADデータを用いて、特徴量作成部23で作成し、比較用特徴量データベース141に格納する。 As for the first feature amount, when the pipe connected to the valve 1511 includes one or a plurality of curved pipe parts, the straight pipe part and the curved pipe part are used by using the CAD data in the CAD data storage unit 21. And to separate. As in the case of the first embodiment, the feature amount creation unit uses the CAD data in the CAD data storage unit 21 for the first feature amount related to the plurality of straight pipe portions 1518_1, 1518_2, 1518_3, 1518_4, and 1518_5. And is stored in the comparison feature database 141.
 上述したように、第2実施形態では、特定処理の対象となる配管が単数もしくは複数の曲管部を含む配管であるとき、個々の直管部および曲管部をマッチング対象とし、配管の特定処理を行うことを特徴としている。このように、バルブ1511に直接接続されている直管部1518_1のみならず、その下流側の直管部および曲管部についてもマッチング対象とすることで、直管部1518_1のみをマッチング対象とする場合よりも、配管1518の認識率を高めることができる。 As described above, in the second embodiment, when a pipe to be specified is a pipe including one or a plurality of curved pipe portions, each straight pipe portion and the curved pipe portion are set as matching targets, and the pipe is specified. It is characterized by performing processing. As described above, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portion and the curved pipe portion on the downstream side thereof are set as matching targets, so that only the straight pipe portion 1518_1 is set as a matching target. The recognition rate of the pipe 1518 can be increased as compared with the case.
 以下に、第2実施形態に係るプラント設備機器認識システムにおいて、個々の直管部のマッチング処理によって配管部を認識し、配管部からバルブ部を認識する処理について、図7乃至図10を用いて説明する。 Hereinafter, in the plant equipment recognition system according to the second embodiment, a process of recognizing a pipe part by a matching process of each straight pipe part and recognizing a valve part from the pipe part will be described with reference to FIGS. 7 to 10. explain.
 図7は、第2実施形態に係るプラント設備機器認識システムにおける配管部の認識処理の流れを示すフローチャートの例である。図8Aおよび図8Bは、配管部の認識処理における確認画面の表示例を示す図の例である。図9は、第2実施形態に係るプラント設備機器認識システムにおけるバルブ部の認識処理の流れを示すフローチャートの例である。図10は、バルブ部の認識処理における確認画面の表示例を示す図の例である。 FIG. 7 is an example of a flowchart showing the flow of the pipe recognition process in the plant equipment recognition system according to the second embodiment. FIG. 8A and FIG. 8B are examples of diagrams showing display examples of confirmation screens in the piping unit recognition processing. FIG. 9 is an example of a flowchart showing a flow of valve unit recognition processing in the plant equipment recognition system according to the second embodiment. FIG. 10 is an example of a diagram illustrating a display example of a confirmation screen in the valve unit recognition process.
 第2実施形態に係るプラント設備機器認識システムにおける配管部の認識処理およびバルブ部の認識処理は、図1に示した第1実施形態および第2実施形態に係るプラント設備機器認識システム1のモバイル端末10において、当該モバイル端末10のデジタルシステムを構築するプロセッサによる制御の下に実施される。 The piping unit recognition process and the valve unit recognition process in the plant equipment recognition system according to the second embodiment are the mobile terminals of the plant equipment recognition system 1 according to the first embodiment and the second embodiment shown in FIG. 10 is performed under the control of the processor that constructs the digital system of the mobile terminal 10.
 なお、以下では、例えば図6の配管1518を認識処理の対象とする場合において、バルブ1511に直接接続されている直管部1518_1を配管#1と呼び、当該配管#1の後ろに続く直管部1518_2,1518_3,・・・をシーケンス配管#1sq1,#1sq2,・・・と呼ぶこととする。 In the following, for example, when the pipe 1518 in FIG. 6 is the target of recognition processing, the straight pipe portion 1518_1 directly connected to the valve 1511 is referred to as pipe # 1, and the straight pipe that follows the pipe # 1. The parts 1518_2, 1518_3,... Will be referred to as sequence piping # 1sq1, # 1sq2,.
(配管部の認識処理)
 最初に、図7のフローチャートを用いて配管部の認識処理の流れについて説明する。プロセッサは、作業者によって配管#1の撮影が行われると、当該配管#1の画像を取り込み(ステップS31)、次いで、図8Aに示す確認画面1を、例えばモバイル端末10の表示部15に表示する(ステップS32)。
(Pipe recognition process)
Initially, the flow of the recognition process of a piping part is demonstrated using the flowchart of FIG. When the operator takes an image of the pipe # 1, the processor captures an image of the pipe # 1 (step S31), and then displays the confirmation screen 1 illustrated in FIG. 8A on the display unit 15 of the mobile terminal 10, for example. (Step S32).
 図8Aに示す確認画面1では、配管径、配管長、配管高、配管方向(水平方向H/鉛直方向V)について、配管#1を認識するための絞込み条件に入れるか否かの「レ点」チェックが作業者によって行われる。この例では、「レ点」チェックが付された配管径、配管長、水平方向Hが、作業者によって絞込み条件に入れられたことになる。 In the confirmation screen 1 shown in FIG. 8A, “check point” indicating whether or not to enter the narrowing condition for recognizing the pipe # 1 with respect to the pipe diameter, pipe length, pipe height, and pipe direction (horizontal direction H / vertical direction V). A check is performed by the operator. In this example, the pipe diameter, the pipe length, and the horizontal direction H to which the “check” check is added are put into the narrowing condition by the operator.
 次に、プロセッサは、作業者によって「レ点」チェックされた絞込み条件を基に、該配管#1を認識できたか否かを判断する(ステップS33)。この認識処理は、第1実施形態での認識処理の下に実行することができる。そして、配管#1が、例えば配管径が特別に太い配管など、特徴的な配管である場合には、ステップS33の判断処理で配管#1を認識できることになる。ここで、配管#1を認識できたということは、バルブ1511に接続されている配管1518を認識できたということになる。 Next, the processor determines whether or not the pipe # 1 has been recognized based on the narrowing-down condition checked by the operator as “Check” (step S33). This recognition process can be executed under the recognition process in the first embodiment. If the pipe # 1 is a characteristic pipe such as a pipe having a particularly large pipe diameter, the pipe # 1 can be recognized by the determination process in step S33. Here, the fact that the pipe # 1 has been recognized means that the pipe 1518 connected to the valve 1511 has been recognized.
 ステップS33の処理で配管#1、即ち、配管1518を認識できなかった場合は、作業者によって配管#1に接続されているシーケンス配管#1sq1,#1sq2,・・・の撮影が順に行われることになる。プロセッサは、配管#1を認識できなかった場合(S33のNo)、シーケンス配管の撮影が行われたか否かを判断し(ステップS34)、シーケンス配管の撮影が行われたのであれば(S34のYes)、シーケンス配管#1sq1の画像を取り込み(ステップS35)、次いで、図8Bに示す確認画面2を表示する(ステップS36)。 If the pipe # 1, i.e., the pipe 1518 cannot be recognized in the process of step S33, the sequence pipes # 1sq1, # 1sq2,... Connected to the pipe # 1 are sequentially photographed by the operator. become. If the pipe # 1 cannot be recognized (No in S33), the processor determines whether or not the sequence piping has been shot (step S34). If the sequence piping has been shot (S34). Yes), an image of sequence piping # 1sq1 is captured (step S35), and then the confirmation screen 2 shown in FIG. 8B is displayed (step S36).
 次に、プロセッサは、シーケンス配管の撮影が終了したか否かを判断し(ステップS37)、終了していなければ(S37のNo)、ステップS35に戻ってステップS35およびステップS36の処理を繰り返す。図8Bに示す確認画面2では、シーケンス配管#1sq2(直管部1518_3)までの配管径、配管長、配管高、配管方向(水平方向H/鉛直方向V)が表示された表示例を図示している。この確認画面2においても、確認画面1の場合と同様に、配管径、配管長、配管高、配管方向(水平方向H/鉛直方向V)について、シーケンス配管#1sq1,#1sq2を認識するための絞込み条件に入れるか否かの「レ点」チェックが作業者によって行われる。 Next, the processor determines whether or not the imaging of the sequence piping has been completed (step S37), and if it has not been completed (No in S37), the process returns to step S35 and repeats the processes of steps S35 and S36. The confirmation screen 2 shown in FIG. 8B shows a display example in which the pipe diameter, pipe length, pipe height, and pipe direction (horizontal direction H / vertical direction V) up to the sequence pipe # 1 sq2 (straight pipe portion 1518_3) are displayed. ing. As in the case of the confirmation screen 1, the confirmation screen 2 also recognizes the sequence pipes # 1sq1 and # 1sq2 with respect to the pipe diameter, pipe length, pipe height, and pipe direction (horizontal direction H / vertical direction V). The operator performs a “check” check as to whether or not to enter the narrowing-down conditions.
 次に、プロセッサは、確認画面1,2のチェック結果をファイルに、ファイル名を変えて保存し、バルブ1511の候補を更新する(ステップS38)。ステップS33で配管#1を認識できたと判断した場合(S33のYes)、あるいはステップS34でシーケンス配管の撮影が行われなかった判断した場合(S34のNo)は、直接ステップS38に移行する。 Next, the processor saves the check results on the confirmation screens 1 and 2 in a file with a different file name, and updates the candidate for the valve 1511 (step S38). If it is determined in step S33 that pipe # 1 has been recognized (Yes in S33), or if it is determined in step S34 that sequence piping has not been photographed (No in S34), the process directly proceeds to step S38.
 次に、プロセッサは、バルブ1511の配管接続数が1個であるか否かを判断し(ステップS39)、1個でなければ(S39のNo)、バルブ1511の接続配管全ての撮影が完了したか否かを判断する(ステップS40)。そして、プロセッサは、接続配管全ての撮影が完了していなければ(S40のNo)、ステップS31に戻って、上述した一連の配管部の認識処理を繰り返して実行する。また、プロセッサは、バルブ1511に関するバルブ候補が1個に絞り込まれた場合(S39のYes)、あるいは接続配管全ての撮影が完了した場合(S40のYes)、上述した一連の配管部の認識処理を終了する。 Next, the processor determines whether or not the number of pipes connected to the valve 1511 is one (step S39). If it is not one (No in S39), photographing of all the pipes connected to the valve 1511 is completed. Whether or not (step S40). If the imaging of all the connected pipes has not been completed (No in S40), the processor returns to step S31 and repeatedly executes the above-described series of piping unit recognition processes. In addition, when the number of valve candidates related to the valve 1511 is narrowed down to one (Yes in S39), or when all of the connected pipes have been photographed (Yes in S40), the processor performs the above-described series of piping unit recognition processing. finish.
(バルブ部の認識処理)
 続いて、図9のフローチャートを用いてバルブ部の認識処理の流れについて説明する。プロセッサは、作業者によって入力される、バルブ1511の配管接続数を取り込む(ステップS41)。本例の場合、図6から明らかなように、配管接続数=3が作業者によって入力される。
(Valve recognition process)
Next, the flow of valve unit recognition processing will be described with reference to the flowchart of FIG. The processor takes in the number of pipe connections of the valve 1511 input by the operator (step S41). In this example, as is clear from FIG. 6, the number of pipe connections = 3 is input by the operator.
 次に、プロセッサは、ステップS38で更新された結果ファイルの中から所望のファイル、例えば最新のファイルを選択し(ステップS42)、次いで、確認画面3を表示する(ステップS43)。図10に示すように、確認画面3には、バルブ1511に接続されている配管について、類似する複数の候補が結果ファイルとして表示される。本例では、配管#1の結果ファイルについて、2つの候補#1_1,#1_2が表示され、配管#2の結果ファイルについて、2つの候補#2_1,#2_2が表示される。配管#3の結果ファイルについては、候補が1つである。 Next, the processor selects a desired file, for example, the latest file from the result files updated in step S38 (step S42), and then displays the confirmation screen 3 (step S43). As shown in FIG. 10, the confirmation screen 3 displays a plurality of similar candidates for the pipe connected to the valve 1511 as a result file. In this example, two candidates # 1_1 and # 1_2 are displayed for the result file of pipe # 1, and two candidates # 2_1 and # 2_2 are displayed for the result file of pipe # 2. There is one candidate for the result file of pipe # 3.
 この確認画面3上において、作業者は、結果ファイル内容をリスト出力条件に加えるか否かの「レ点」チェックを行うことができる。これにより、作業者は、「レ点」チェックによって結果ファイル内容についてデータ修正を行う。すなわち、作業者は、確認画面3上において、絞込み条件の確認を行うことになる。 On the confirmation screen 3, the operator can perform a “check” check as to whether or not to add the contents of the result file to the list output condition. As a result, the worker corrects the data of the result file contents by the “check” check. That is, the worker confirms the narrowing conditions on the confirmation screen 3.
 次に、プロセッサは、データ修正が行われた結果ファイル内容についてファイルを更新し(ステップS44)、次いで、絞込み結果をバルブリスト(プラント設備機器の候補リスト)として出力する(ステップS45)。 Next, the processor updates the file with respect to the result file contents subjected to the data correction (step S44), and then outputs the narrowing result as a valve list (plant facility equipment candidate list) (step S45).
 上述したように、特定処理の対象となる配管が単数もしくは複数の曲管部を含む配管であるとき、バルブ1511に直接接続されている直管部1518_1のみならず、その下流側の直管部についてもマッチング対象とすることで、配管1518の認識率を高めることができる。その結果、プラント設備機器の一例であるバルブの認識率を高めることができる。 As described above, when the pipe to be subjected to the specific processing is a pipe including one or a plurality of curved pipe portions, not only the straight pipe portion 1518_1 directly connected to the valve 1511 but also the straight pipe portion on the downstream side thereof. As a matching target, the recognition rate of the pipe 1518 can be increased. As a result, the recognition rate of a valve that is an example of plant equipment can be increased.
 なお、第1実施形態および第2実施形態では、比較用特徴量である第2の特徴量として、配管径、配管長、配管高、配管方向(水平方向H/鉛直方向V)などの管情報を例示したが、これらの管情報に限られるものではない。例えば、配管を特定するために配管(直管部/曲管部)個々に付されているライン番号などの識別情報を第2の特徴量として用いることもできる。この場合、ライン番号などの識別情報を、周知の文字認識の技術を用いて読み取り、その読取結果から配管を特定するようにすればよい。また、第2実施形態の場合にあっては、直管部および曲管部の個数などの情報を第2の特徴量として用いるようにしてもよい。 In the first embodiment and the second embodiment, pipe information such as pipe diameter, pipe length, pipe height, pipe direction (horizontal direction H / vertical direction V) is used as the second feature quantity that is a comparative feature quantity. However, the present invention is not limited to these pieces of tube information. For example, identification information such as a line number assigned to each pipe (straight pipe portion / curved pipe portion) for specifying the pipe can be used as the second feature amount. In this case, identification information such as a line number may be read using a well-known character recognition technique, and piping may be specified from the read result. In the case of the second embodiment, information such as the number of straight pipe portions and curved pipe portions may be used as the second feature amount.
<第3実施形態>
 第3実施形態は、第1実施形態に係るプラント設備機器認識システム、または第2実施形態に係るプラント設備機器認識システムを、無線を用いないナビゲーションシステムとして利用する例である。第3実施形態に係るプラント設備機器認識システムについて、図11を用いて説明する。図11は、本発明の第3実施形態に係るプラント設備機器認識システムの構成を示すブロック図の例である。
<Third Embodiment>
The third embodiment is an example in which the plant equipment recognition system according to the first embodiment or the plant equipment recognition system according to the second embodiment is used as a navigation system that does not use radio. A plant facility equipment recognition system according to the third embodiment will be described with reference to FIG. FIG. 11 is an example of a block diagram showing the configuration of a plant equipment recognition system according to the third embodiment of the present invention.
 第1実施形態または第2実施形態に係るプラント設備機器認識システム1においては、特徴量取得部12および特徴量比較制御部14の作用によって作業対象のプラント設備機器が絞り込まれる。そして、設備情報表示制御部13において、作業対象のプラント設備機器の作業指示内容などを含む設備情報を設備情報データベース131より取得し、設備情報表示部135にて当該設備情報の表示が行われる。 In the plant facility equipment recognition system 1 according to the first embodiment or the second embodiment, the plant facility equipment to be worked is narrowed down by the action of the feature quantity acquisition unit 12 and the feature quantity comparison control unit 14. Then, the facility information display control unit 13 acquires facility information including the work instruction content of the plant facility equipment to be worked from the facility information database 131, and the facility information display unit 135 displays the facility information.
 すなわち、第1実施形態または第2実施形態に係るプラント設備機器認識システム1によれば、配管やプラント設備機器の設置位置は既知であるため、モバイル端末10の現在位置を特定することができる。したがって、例えば、モバイル端末10の一例であるウェアラブル機器を作業者が装着して、プラント設備機器が設置されているエリア(プラント設備)内への進入時から周囲の配管を特定しながら移動することで、エリア入口から現在位置までの移動経路の情報を取得することができる。 That is, according to the plant facility equipment recognition system 1 according to the first embodiment or the second embodiment, since the installation positions of the piping and plant equipment are known, the current position of the mobile terminal 10 can be specified. Therefore, for example, a worker wears a wearable device that is an example of the mobile terminal 10 and moves while specifying surrounding piping from the time of entering the area (plant facility) where the plant facility device is installed. Thus, information on the movement route from the area entrance to the current position can be acquired.
 そこで、第3実施形態に係るプラント設備機器認識システム1は、エリア特定部11、特徴量取得部12、設備情報表示制御部13および特徴量比較制御部14に加えて、モバイル端末10の機能部の一つとして、モバイル端末10のエリア入口から現在位置までの移動経路の提示を行う移動経路提示部16を備えている。 Thus, the plant equipment recognition system 1 according to the third embodiment includes a function unit of the mobile terminal 10 in addition to the area specifying unit 11, the feature amount acquisition unit 12, the facility information display control unit 13, and the feature amount comparison control unit 14. As one of them, a movement route presentation unit 16 that presents a movement route from the area entrance of the mobile terminal 10 to the current position is provided.
 移動経路提示部16は、地図情報データベース161、現在位置表示部162および移動経路表示部163を備えている。地図情報データベース161は、プラント設備機器が設置されているエリア(プラント設備)内の地図情報、具体的には、配管やプラント設備機器の設置位置や通路などの情報をデータベース化したものである。現在位置表示部162および移動経路表示部163は、モバイル端末10の表示部であり、モバイル端末10の現在位置および移動経路を表示する。 The movement route presentation unit 16 includes a map information database 161, a current position display unit 162, and a movement route display unit 163. The map information database 161 is a database of map information in an area (plant facility) where plant equipment is installed, specifically, information such as installation positions and passages of piping and plant equipment. The current position display unit 162 and the movement route display unit 163 are display units of the mobile terminal 10 and display the current position and movement route of the mobile terminal 10.
 上述したように、第3実施形態によれば、配管やプラント設備機器の設置位置から、モバイル端末10の現在位置を特定可能な第1実施形態の技術を用いることで、モバイル端末10の現在位置を表示するとともに、エリア入口から現在位置までの移動経路を表示することができる。また、移動経路提示部16について、エリア入口から現在位置までの移動経路を記憶保持するようにすることもできる。 As described above, according to the third embodiment, the current position of the mobile terminal 10 can be determined by using the technology of the first embodiment that can identify the current position of the mobile terminal 10 from the installation position of the piping and plant equipment. And a moving route from the area entrance to the current position can be displayed. In addition, the movement route presentation unit 16 can store and hold the movement route from the area entrance to the current position.
 そして、モバイル端末10の現在位置をリアルタイムに更新し、把握することより、第3実施形態に係るプラント設備機器認識システム1を、無線を用いない移動ナビゲーションシステムとして用いることができる。換言すれば、第3実施形態に係るプラント設備機器認識システム1に、移動ナビゲーション機能を持たせることができる。 Then, by updating and grasping the current position of the mobile terminal 10 in real time, the plant facility equipment recognition system 1 according to the third embodiment can be used as a mobile navigation system that does not use radio. In other words, the plant facility equipment recognition system 1 according to the third embodiment can have a mobile navigation function.
 ここで、例えば、工事中もしくは資材置き場のためなどで移動不可な場所があれば、当該場所を避けて移動することになる。そこで、移動経路提示部16に、モバイル端末10の移動経路を記憶保持し、この記憶保持した移動経路から通行不可能な場所を推定し、当該場所を避けた移動経路を提示する機能を持たせることができる。これにより、次回移動時には通行不可能な場所を推定し、当該場所を避けた移動経路の提示が可能となる。 Here, for example, if there is a place that cannot be moved, for example, during construction or because of a material storage place, the place will be moved around that place. Therefore, the movement route presentation unit 16 has a function of storing and holding the movement route of the mobile terminal 10, estimating a place that cannot be passed from the movement route that is stored and holding, and presenting a movement route that avoids the place. be able to. As a result, it is possible to estimate a place that cannot be passed during the next movement and to present a movement route that avoids the place.
[変形例]
 本発明は、上記した実施形態に限定されるものではなく、様々な変形例が含まれる。例えば、上記した実施形態は本発明を分かりやすく説明するために詳細に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。例えば、図1や図11に示す各機能部については、ソフトウェアで実現する場合の他、それらの一部または全部を、例えば集積回路で設計するなどによってハードウェアで実現してもよい。
[Modification]
The present invention is not limited to the above-described embodiment, and includes various modifications. For example, the above-described embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to one having all the configurations described. For example, each of the functional units shown in FIGS. 1 and 11 may be realized by hardware, for example, by designing with an integrated circuit, in addition to the case where they are realized by software.
 また、上記した実施形態では、プラント設備機器として、配管が接続されたバルブを例に挙げて説明したが、本発明は、バルブへの適用に限られるものではなく、配管が接続されたモータなど、配管が接続された設備機器全般に対して適用可能である。 Further, in the above-described embodiment, as a plant facility device, a valve to which piping is connected has been described as an example, but the present invention is not limited to application to a valve, and a motor to which piping is connected, etc. It can be applied to general equipment with pipes connected.
1 プラント設備機器認識システム、10 モバイル端末、11 エリア特定部、12 特徴量取得部、13 設備情報表示制御部、14 特徴量比較制御部、15 モバイル端末の表示部、16 移動経路提示部、20 比較用特徴量データベース作成部、21 CADデータ記憶部、22 撮像データ記憶部、23 特徴量作成部、1511 バルブ、1512~1518 配管、1518_1~1518_5 直管部、1518_6,1518_7,1518_8,1518_9 曲管部 DESCRIPTION OF SYMBOLS 1 Plant equipment apparatus recognition system, 10 Mobile terminal, 11 Area specification part, 12 Feature quantity acquisition part, 13 Equipment information display control part, 14 Feature quantity comparison control part, 15 Mobile terminal display part, 16 Travel route presentation part, 20 Comparison feature database creation unit, 21 CAD data storage unit, 22 imaging data storage unit, 23 feature creation unit, 1511 valve, 1512 to 1518 piping, 1518_1 to 1518_5 straight pipe unit, 1518_6, 1518_7, 1518_8, 1518_9 curved pipe Part

Claims (12)

  1.  カメラを備えるモバイル端末を用いて、プラント設備内における作業対象のプラント設備機器を認識するプラント設備機器認識システムであって、
     前記作業対象のプラント設備機器および当該プラント設備機器の周辺に存在する配管を前記カメラで撮影して得られる画像から、前記配管に関する情報を第1の特徴量として取得する特徴量取得部と、
     前記第1の特徴量と、設計データから取得される前記配管に関する第2の特徴量とを比較する特徴量比較部と、
     を備えることを特徴とするプラント設備機器認識システム。
    A plant equipment recognition system for recognizing plant equipment to be worked in plant equipment using a mobile terminal equipped with a camera,
    From the image obtained by photographing the plant facility equipment to be worked and the piping existing around the plant equipment with the camera, a feature amount acquisition unit that acquires information about the piping as a first feature amount;
    A feature amount comparison unit that compares the first feature amount with a second feature amount relating to the piping acquired from design data;
    The plant equipment recognition system characterized by comprising.
  2.  前記特徴量比較部の比較結果を基に、前記配管に関する情報と、当該配管に関する情報から絞り込まれた前記作業対象のプラント設備機器の設備情報とを表示する設備情報表示部を備える
     ことを特徴とする請求項1に記載のプラント設備機器認識システム。
    A facility information display unit that displays information related to the piping based on the comparison result of the feature amount comparison unit and facility information of the plant facility equipment that is the work target that is narrowed down from the information related to the piping. The plant equipment recognition system according to claim 1.
  3.  前記設備情報は、前記作業対象のプラント設備機器に関する作業指示内容を含む
     ことを特徴とする請求項2に記載のプラント設備機器認識システム。
    The plant facility equipment recognition system according to claim 2, wherein the facility information includes a work instruction content related to the plant equipment to be worked.
  4.  前記第2の特徴量として、前記プラント設備内における配管の配管径、配管長および床もしくは壁から配管までの距離を含むデータベースを有する
     ことを特徴とする請求項1に記載のプラント設備機器認識システム。
    The plant facility equipment recognition system according to claim 1, wherein the second feature amount includes a database including a pipe diameter, a pipe length, and a distance from a floor or a wall to the pipe in the plant equipment. .
  5.  前記データベースは、前記第2の特徴量として、前記作業対象のプラント設備機器と前記配管との位置関係を含む
     ことを特徴とする請求項4に記載のプラント設備機器認識システム。
    5. The plant facility equipment recognition system according to claim 4, wherein the database includes a positional relationship between the work target plant equipment and the pipe as the second feature amount.
  6.  前記データベースは、前記第2の特徴量として、前記プラント設備内における配管同士の位置関係を含む
     ことを特徴とする請求項4に記載のプラント設備機器認識システム。
    The plant database recognizing system according to claim 4, wherein the database includes, as the second feature amount, a positional relationship between pipes in the plant facility.
  7.  前記配管は、直管部および曲管部を含んでおり、
     前記第2の特徴量として、単数もしくは複数の前記直管部の配管径、配管長および床もしくは壁から前記直管部までの距離を含むデータベースを有する
     ことを特徴とする請求項1に記載のプラント設備機器認識システム。
    The pipe includes a straight pipe part and a curved pipe part,
    2. The database according to claim 1, wherein the second feature value includes a database including a pipe diameter, a pipe length, and a distance from a floor or a wall to the straight pipe part. Plant equipment recognition system.
  8.  前記プラント設備内の配管およびプラント設備機器を特定することによって得られる前記モバイル端末の位置情報と、前記モバイル端末に装備された方位計による前記モバイル端末の方位情報から、前記カメラが撮影する画像を推定し、当該画像にプラント設備機器の三次元画像を重畳表示するAR表示部を有する
     ことを特徴とする請求項2に記載のプラント設備機器認識システム。
    From the position information of the mobile terminal obtained by specifying the piping in the plant equipment and the plant equipment and the orientation information of the mobile terminal by the orientation meter installed in the mobile terminal, an image taken by the camera is taken. The plant facility equipment recognition system according to claim 2, further comprising an AR display unit configured to estimate and superimpose and display a three-dimensional image of the plant equipment on the image.
  9.  前記設備情報表示部は、前記プラント設備内の配管およびプラント設備機器を特定することによって得られる前記モバイル端末の位置情報を基に、前記モバイル端末の周辺に存在する構造物に関する情報を表示する
     ことを特徴とする請求項2に記載のプラント設備機器認識システム。
    The facility information display unit displays information on structures existing around the mobile terminal based on position information of the mobile terminal obtained by specifying piping and plant equipment in the plant facility. The plant equipment recognition system according to claim 2 characterized by things.
  10.  前記プラント設備内の配管およびプラント設備機器を特定することによって得られる前記モバイル端末の位置情報をリアルタイムに更新することで、前記モバイル端末の移動経路を提示する移動経路提示部を備える
     ことを特徴とする請求項9に記載のプラント設備機器認識システム。
    A moving path presenting unit that presents the moving path of the mobile terminal by updating the position information of the mobile terminal obtained in real time by specifying piping and plant equipment in the plant facility is provided. The plant facility equipment recognition system according to claim 9.
  11.  前記移動経路提示部は、前記モバイル端末の移動経路を記憶保持し、この記憶保持した移動経路から通行不可能な場所を推定し、当該場所を避けた移動経路を提示する
     ことを特徴とする請求項10に記載のプラント設備機器認識システム。
    The travel route presenting unit stores and holds a travel route of the mobile terminal, estimates a place where the mobile terminal cannot pass from the stored travel route, and presents a travel route that avoids the place. Item 11. The plant equipment recognition system according to Item 10.
  12.  カメラを備えるモバイル端末を用いて、プラント設備内における作業対象のプラント設備機器を認識するプラント設備機器認識方法であって、
     前記作業対象のプラント設備機器および当該プラント設備機器の周辺に存在する配管を前記カメラで撮影して得られる画像から、前記配管に関する情報を第1の特徴量として取得するステップと、
     前記第1の特徴量と、設計データから取得される前記配管に関する第2の特徴量とを比較するステップと、
     の処理を実行することを特徴とするプラント設備機器認識方法。
    A plant equipment device recognition method for recognizing a plant equipment device to be worked in a plant equipment using a mobile terminal equipped with a camera,
    From the image obtained by photographing the plant facility equipment to be worked and the pipe existing around the plant equipment with the camera, obtaining information about the pipe as a first feature amount;
    Comparing the first feature quantity with a second feature quantity relating to the piping obtained from design data;
    The plant equipment recognition method characterized by performing the process of.
PCT/JP2018/014742 2017-04-21 2018-04-06 Plant equipment recognition system and plant equipment recognition method WO2018193880A1 (en)

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