CN111191560B - Water conservancy RTU capable of automatically identifying water level scale - Google Patents
Water conservancy RTU capable of automatically identifying water level scale Download PDFInfo
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- CN111191560B CN111191560B CN201911356887.7A CN201911356887A CN111191560B CN 111191560 B CN111191560 B CN 111191560B CN 201911356887 A CN201911356887 A CN 201911356887A CN 111191560 B CN111191560 B CN 111191560B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/02—Recognising information on displays, dials, clocks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
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- Physics & Mathematics (AREA)
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- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Measurement Of Levels Of Liquids Or Fluent Solid Materials (AREA)
Abstract
The invention discloses a water conservancy RTU capable of automatically identifying the scale of a water gauge, which comprises a camera, a camera and a water gauge, wherein the camera is used for shooting the scale and the condition of a photographed water gauge; the hydraulic RTU is configured to control the camera to work, receive image data of the camera, send the image data shot by the camera, and send the scale value obtained by the openCV picture identification module to the server; the openCV picture identification module is configured to receive image data sent by the water conservancy RTU, identify the image data, obtain scale values and return the scale values to the water conservancy RTU; and the server is used for receiving the scale values sent by the water conservancy RTU. This automatic water conservancy RTU of discernment water level chi scale solves the problem that can't long-range numerical value of reading the water level chi. The water level value can be remotely transmitted without adding an electronic water level gauge. The repeated construction is reduced, the utilization rate of the original device is improved, and the cost is reduced.
Description
Technical Field
The invention relates to a water conservancy RTU capable of automatically identifying water level scale marks.
Background
Currently, most river courses, reservoirs and various watercourses are provided with water level gauges.
At present, a float type water level gauge, a pressure type water level gauge, an ultrasonic water level gauge, a radar water level gauge, an electronic water gauge and the like are basically adopted for reading the water level.
Those skilled in the art want to use the existing water level gauge, without adding an electronic water level gauge, can acquire a water level value, and can report to a system main station remotely, so that the system main station can obtain the hydrological conditions of all monitoring points in real time.
Disclosure of Invention
The invention aims to solve the technical problem that the numerical value of a water level gauge cannot be read remotely. The water level value can be remotely transmitted without adding an electronic water level gauge. The repeated construction is reduced, the utilization rate of the original device is improved, and the water conservancy RTU for automatically identifying the scale of the water level gauge is reduced in cost.
In order to solve the problems, the invention adopts the following technical scheme:
a water conservancy RTU for automatically identifying water level scale comprises
The camera is used for shooting scales and conditions of the shooting water gauge;
the hydraulic RTU is configured to control the camera to work, receive image data of the camera, send the image data shot by the camera, and send the scale value obtained by the openCV picture identification module to the server;
the openCV picture identification module is configured to receive image data sent by the water conservancy RTU, identify the image data, obtain scale values and return the scale values to the water conservancy RTU;
and the server is used for receiving the scale values sent by the water conservancy RTU.
Preferably, the picture recognition processing steps of the openCV picture recognition module are as follows:
1) During factory calibration, learning information such as 0-9 of fonts, decimal points, scale marks and the like, obtaining characteristic information, and storing all the characteristic information in a memory to form a characteristic library;
2) Receiving image data;
3) Performing binarization processing on the image data;
4) Finding out the outline;
5) Intercepting an effective part, detecting the effective part of the water level gauge from bottom to top by image data, and finding out an effective scale at the water level;
6) Extracting characteristic information;
7) And comparing the information with the feature library information to judge the numerical value.
Preferably, the camera comprises a base, a transparent cover body, a lens and a sensor component, wherein a groove which is in a convex shape is formed in the base, a sealing ring is arranged in the groove, the sealing ring is fixedly connected with the groove bottom of the groove, the sensor component is arranged in the sealing ring, the base is in threaded connection with the transparent cover body, two ends of the lens are provided with L-shaped connecting portions, the L-shaped connecting portions and the lens are integrally arranged, tenons are arranged on the back of the L-shaped connecting portions, mortises matched with the tenons are arranged in the sealing ring, the L-shaped connecting portions and the sealing ring are detachably connected through the tenons and the mortises, a sealing rubber ring is arranged on the front face of the L-shaped connecting portions, the sealing rubber ring is adhered with the L-shaped connecting portions, internal threads are arranged on the groove wall of the groove, a limiting ring is screwed in the groove, the outer surface of the limiting ring is provided with external threads, and the tail end of the limiting ring is tightly attached to the sealing rubber ring, and the camera has excellent waterproof performance.
Preferably, the L-shaped connecting portion and the tenon are integrally provided.
Preferably, the base is provided with a perforation, a heat conductor is inserted into the perforation, one end of the heat conductor is clung to the sensor assembly, and the other end of the heat conductor is connected with the outside.
Preferably, a storage cavity is formed among the L-shaped connecting part, the sealing ring, the sealing rubber ring and the groove wall of the groove, and the storage cavity is filled with a drying agent.
Preferably, the inner ring surface of the limiting ring is tightly attached to the L-shaped connecting part.
The invention also provides a working method of the water conservancy RTU capable of automatically identifying the water level scale, which comprises the following steps:
1) The hydraulic RTU issues a photographing command to the camera;
2) Shooting after the shooting receives the command, and informing the RTU of finishing shooting;
3) The RTU acquires a photo;
4) Transmitting the photo into an openCV picture identification library, identifying the scale, and returning to obtain a scale value;
5) The RTU stores the scale values and reports the scale values to the master station server;
6) And (5) completing one-time acquisition.
The beneficial effects of the invention are as follows: the problem of unable remote reading water gauge's numerical value is solved. The water level value can be remotely transmitted without adding an electronic water level gauge. The repeated construction is reduced, the utilization rate of the original device is improved, and the cost is reduced.
The RTU is provided with an external high-definition camera, the camera is arranged at the position of the optimal observation water level, the condition and the scale of the water level can be clearly shot, the RTU is arranged to take pictures at regular time, after the RTU obtains the pictures, the scale of the water level of the pictures is identified by utilizing an openCV library, the scale value is obtained after the identification, the scale value is recorded in the RTU, and the master station server is reported on time. And the secondary photo is also saved in the RTU so that the primary server can extract the photo when needed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of a hydraulic RTU for automatically identifying the scale of a water level.
Fig. 2 is a cross-sectional view of a camera of a hydraulic RTU that automatically recognizes the scale of a water gauge according to the present invention.
In the figure:
1. a camera; 2. hydraulic RTU; 3. an openCV picture identification module; 4. a server; 5. a base; 6. a transparent cover; 7. a lens; 8. a sensor assembly; 9. a seal ring; 10. an L-shaped connecting part; 11. a tenon; 12. sealing the rubber ring; 13. a limiting ring; 14. a heat conductor; 15. and (5) drying agent.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
In the embodiments, it should be understood that the directions or positional relationships indicated by the terms "middle", "upper", "lower", "top", "right side", "left end", "above", "back", "middle", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience in describing the present invention, and do not indicate or imply that the apparatus or elements referred to must have a specific direction, be configured and operated in a specific direction, and thus should not be construed as limiting the present invention.
In this embodiment, if the connection or fixation between the components is not specifically described, the connection or fixation may be performed by a conventional manner such as bolting, pinning, bonding, or riveting, which are commonly used in the prior art, and thus, the description thereof will not be given in the examples.
Example 1
1-2, a water conservancy RTU for automatically identifying water level scale comprises
A camera 1 for shooting scales and conditions of a shooting water gauge;
the water conservancy RTU2 is configured to control the camera to work, receive image data of the camera, send the image data shot by the camera, and send the scale value obtained by the openCV picture identification module to the server;
the openCV picture identification module 3 is configured to receive the image data sent by the water conservancy RTU, identify the image data, obtain scale values and return the scale values to the water conservancy RTU;
and the server 4 is used for receiving the scale values sent by the water conservancy RTU.
In this embodiment, the picture recognition processing steps of the openCV picture recognition module 3 are as follows:
1) During factory calibration, learning information such as 0-9 of fonts, decimal points, scale marks and the like, obtaining characteristic information, and storing all the characteristic information in a memory to form a characteristic library;
2) Receiving image data;
3) Performing binarization processing on the image data;
4) Finding out the outline;
5) Intercepting an effective part, detecting the effective part of the water level gauge from bottom to top by image data, and finding out an effective scale at the water level;
6) Extracting characteristic information;
7) And comparing the information with the feature library information to judge the numerical value.
In this embodiment, the camera 1 includes a base 5, a transparent cover 6, a lens 7 and a sensor assembly 8, a groove (not shown) in a convex shape is provided on the base 5, a sealing ring 9 is provided in the groove, the sealing ring 9 is fixedly connected with the groove bottom of the groove, the sensor assembly 8 is installed in the sealing ring 9, the base 5 is in threaded connection with the transparent cover 6, two ends of the lens 7 are provided with an L-shaped connecting portion 10, the L-shaped connecting portion 10 and the lens 7 are integrally arranged, a tenon 11 is provided on the back surface of the L-shaped connecting portion 10, a mortise (not shown) matched with the tenon 11 is provided in the sealing ring 9, the L-shaped connecting portion 10 and the sealing ring 9 are detachably connected through the tenon 11 and the mortise, a sealing rubber ring 12 is provided on the front surface of the L-shaped connecting portion 10, an internal thread (not shown) is provided on the groove wall of the groove, a limiting ring 13 is provided in the groove, an external surface of the limiting ring 13 is provided with a waterproof ring (not shown), and the waterproof ring is tightly attached to the end of the camera.
In this embodiment, the L-shaped connecting portion 10 and the tenon 11 are integrally provided.
In this embodiment, a through hole (not shown) is provided in the base 5, and a heat conductor 14 is inserted into the through hole, one end of the heat conductor 14 is closely attached to the sensor assembly 8, and the other end of the heat conductor 14 is connected to the outside.
In this embodiment, a storage cavity (not shown) is formed between the L-shaped connecting portion 10, the sealing ring 9, the sealing rubber ring 12 and the wall of the groove, and the desiccant 15 is filled in the storage cavity.
In this embodiment, the inner ring surface of the limiting ring 13 is tightly attached to the L-shaped connecting portion 10.
The invention also provides a working method of the water conservancy RTU capable of automatically identifying the water level scale, which comprises the following steps:
1) The hydraulic RTU issues a photographing command to the camera;
2) Shooting after the shooting receives the command, and informing the RTU of finishing shooting;
3) The RTU acquires a photo;
4) Transmitting the photo into an openCV picture identification library, identifying the scale, and returning to obtain a scale value;
5) The RTU stores the scale values and reports the scale values to the master station server;
6) And (5) completing one-time acquisition.
The beneficial effects of the invention are as follows: the problem of unable remote reading water gauge's numerical value is solved. The water level value can be remotely transmitted without adding an electronic water level gauge. The repeated construction is reduced, the utilization rate of the original device is improved, and the cost is reduced.
The RTU is provided with an external high-definition camera, the camera is arranged at the position of the optimal observation water level, the condition and the scale of the water level can be clearly shot, the RTU is arranged to take pictures at regular time, after the RTU obtains the pictures, the scale of the water level of the pictures is identified by utilizing an openCV library, the scale value is obtained after the identification, the scale value is recorded in the RTU, and the master station server is reported on time. And the secondary photo is also saved in the RTU so that the primary server can extract the photo when needed.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any changes or substitutions that do not undergo the inventive effort should be construed as falling within the scope of the present invention.
Claims (7)
1. Water conservancy RTU of automatic discernment water gauge scale, its characterized in that: comprising
The camera is used for shooting scales and conditions of the shooting water gauge;
the hydraulic RTU is configured to control the camera to work, receive image data of the camera, send the image data shot by the camera, and send the scale value obtained by the openCV picture identification module to the server; the openCV picture identification module is configured to receive image data sent by the water conservancy RTU, identify the image data, obtain scale values and return the scale values to the water conservancy RTU;
the server is used for receiving the scale values sent by the water conservancy RTU;
the camera comprises a base, a transparent cover body, a lens and a sensor component, wherein a groove which is in a convex shape is formed in the base, a sealing ring is arranged in the groove, the sealing ring is fixedly connected with the groove bottom of the groove, the sensor component is arranged in the sealing ring, the base is in threaded connection with the transparent cover body, two ends of the lens are provided with L-shaped connecting portions, the L-shaped connecting portions and the lens are integrally arranged, tenons are arranged on the back of the L-shaped connecting portions, mortises matched with the tenons are arranged in the sealing ring, the L-shaped connecting portions and the sealing ring are detachably connected through the tenons and the mortises, a sealing rubber ring is arranged on the front face of the L-shaped connecting portions, the sealing rubber ring is adhered to the L-shaped connecting portions, internal threads are arranged on the groove wall of the groove, a limiting ring is screwed in the groove, and the outer surface of the limiting ring is provided with external threads, and the tail end of the limiting ring is tightly adhered to the sealing rubber ring.
2. The water conservancy RTU for automatically identifying water gauge graduations of claim 1, wherein: the picture identification processing steps of the openCV picture identification module are as follows:
1) During factory calibration, learning information such as 0-9 of fonts, decimal points, scale marks and the like, obtaining characteristic information, and storing all the characteristic information in a memory to form a characteristic library;
2) Receiving image data;
3) Performing binarization processing on the image data;
4) Finding out the outline;
5) Intercepting an effective part, detecting the effective part of the water level gauge from bottom to top by image data, and finding out an effective scale at the water level;
6) Extracting characteristic information;
7) And comparing the information with the feature library information to judge the numerical value.
3. A water conservancy RTU for automatically identifying water level graduations as claimed in claim 2 wherein: the L-shaped connecting part and the tenon are integrally arranged.
4. A water conservancy RTU for automatically identifying water level gauge graduations according to claim 3 and characterized in that: the base is provided with a perforation, a heat conductor is inserted into the perforation, one end of the heat conductor is clung to the sensor assembly, and the other end of the heat conductor is connected with the outside.
5. The hydraulic RTU for automatically identifying water gauge graduations of claim 4, wherein: and a storage cavity is formed among the L-shaped connecting part, the sealing ring, the sealing rubber ring and the groove wall of the groove, and the storage cavity is filled with a drying agent.
6. The hydraulic RTU for automatically identifying water gauge graduations of claim 5, wherein: the inner ring surface of the limiting ring is tightly attached to the L-shaped connecting part.
7. A hydraulic RTU for automatically identifying water gauge graduations according to claim 1, characterized in that it comprises the following steps:
1) The hydraulic RTU issues a photographing command to the camera;
2) Shooting after the shooting receives the command, and informing the RTU of finishing shooting;
3) The RTU acquires a photo;
4) Transmitting the photo into an openCV picture identification library, identifying the scale, and returning to obtain a scale value;
5) The RTU stores the scale values and reports the scale values to the master station server;
6) And (5) completing one-time acquisition.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911356887.7A CN111191560B (en) | 2019-12-25 | 2019-12-25 | Water conservancy RTU capable of automatically identifying water level scale |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911356887.7A CN111191560B (en) | 2019-12-25 | 2019-12-25 | Water conservancy RTU capable of automatically identifying water level scale |
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| CN111191560A CN111191560A (en) | 2020-05-22 |
| CN111191560B true CN111191560B (en) | 2023-08-29 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205537834U (en) * | 2016-03-15 | 2016-08-31 | 北京圣世信通科技发展有限公司 | Rivers and lakes water -level fluctuation intelligent recognition system |
| CN107843641A (en) * | 2017-11-09 | 2018-03-27 | 江苏嘉特朗达环保科技有限公司 | A kind of device and method for identifying microorganism |
| CN108759973A (en) * | 2018-04-28 | 2018-11-06 | 南京昊控软件技术有限公司 | A kind of water level measurement method |
| KR102043999B1 (en) * | 2019-04-22 | 2019-11-12 | (주)미래로택 | Brainy remote terminal unit for flood forecast/warning and rainfall prediction method and fire/inundation related alarm transmission method using the same |
-
2019
- 2019-12-25 CN CN201911356887.7A patent/CN111191560B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205537834U (en) * | 2016-03-15 | 2016-08-31 | 北京圣世信通科技发展有限公司 | Rivers and lakes water -level fluctuation intelligent recognition system |
| CN107843641A (en) * | 2017-11-09 | 2018-03-27 | 江苏嘉特朗达环保科技有限公司 | A kind of device and method for identifying microorganism |
| CN108759973A (en) * | 2018-04-28 | 2018-11-06 | 南京昊控软件技术有限公司 | A kind of water level measurement method |
| KR102043999B1 (en) * | 2019-04-22 | 2019-11-12 | (주)미래로택 | Brainy remote terminal unit for flood forecast/warning and rainfall prediction method and fire/inundation related alarm transmission method using the same |
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