CN118149925A - Liquid level monitoring and early warning system combined with image intelligent recognition technology - Google Patents
Liquid level monitoring and early warning system combined with image intelligent recognition technology Download PDFInfo
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- 239000007788 liquid Substances 0.000 title claims abstract description 317
- 238000012544 monitoring process Methods 0.000 title claims abstract description 52
- 238000005516 engineering process Methods 0.000 title claims abstract description 22
- 238000005259 measurement Methods 0.000 claims abstract description 75
- 239000000463 material Substances 0.000 claims abstract description 60
- 238000004364 calculation method Methods 0.000 claims description 28
- 239000012611 container material Substances 0.000 claims description 27
- 238000010926 purge Methods 0.000 claims description 12
- 238000004422 calculation algorithm Methods 0.000 claims description 6
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- 238000003825 pressing Methods 0.000 description 1
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Abstract
The invention relates to the technical field of liquid level monitoring, in particular to a liquid level monitoring and early warning system combined with an image intelligent recognition technology, which is used for monitoring container equipment and comprises the following components: the liquid level measurement subsystem is used for measuring liquid level information of the container equipment, generating an electric signal and collecting image information of the liquid level of the container equipment marked by scales; the material inlet and outlet monitoring subsystem is used for monitoring material input and output information of the container equipment; and the cloud computing platform is used for comprehensively judging whether the liquid level measurement is normal or not according to the electric signals, the image information and the material input and output information and outputting a judging result. The scheme can carry out various liquid level measurement, carry out comprehensive analysis and judgment, improve the accuracy of liquid level measurement, help production management personnel to carry out analysis decision, reduce safety risk, and can apply to the existing ISA95 architecture, improve the intelligent level of mill.
Description
Technical Field
The invention relates to the technical field of liquid level monitoring, in particular to a liquid level monitoring early warning system combined with an image intelligent recognition technology.
Background
The liquid level measurement technology is various, and there are differential pressure type liquid level measurement, ultrasonic measurement, radar measurement, conductivity measurement, magnetic flap magnetic float measurement and the like; however, in the existing liquid level measurement technology, the measurement types are single, and the measurement is performed by different sensors, so that the alarm of high liquid level and low liquid level is realized. No matter which liquid level measurement technology is adopted, along with the change of the use time and the environment, measurement errors and measurement inaccuracy can occur when a measurement medium influences the measurement, the next analysis decision is carried out by production management staff, and even safety accidents occur.
The prior liquid level measurement technology in an industrial system adopts simple range judgment to monitor the liquid level change in container equipment, wherein the container equipment is commonly used for storing liquid materials, the input and output of the materials exist, the liquid level change is illuminated, and in order to be safe, the liquid level cannot exceed a preset safety threshold value, and the liquid level needs to be monitored; the monitoring of the liquid level mainly adopts electric signal detection and manual experience judgment, needs manual real-time detection, needs a large amount of labor cost, adopts a remote monitoring alarm system in time, simply judges whether the detected liquid level belongs to a normal range or not, has low accuracy, and cannot realize intelligent judgment of abnormal liquid level. Moreover, if intelligent computation is to be implemented in the ISA95 architecture, the controller in the existing ISA95 architecture has limited computing power, which is insufficient to bear the multi-factor computation amount.
Therefore, a liquid level monitoring and early warning system combined with an image intelligent recognition technology is urgently needed at present, various liquid level measurement can be carried out, comprehensive analysis and judgment are carried out, the accuracy of the liquid level measurement is improved, production management staff is assisted to carry out analysis decision, the safety risk is reduced, the liquid level monitoring and early warning system can be applied to the existing ISA95 framework, and the intelligent level of a factory is improved.
Disclosure of Invention
The invention aims to provide a liquid level monitoring and early warning system combined with an image intelligent recognition technology, which can be used for carrying out various liquid level measurement, carrying out comprehensive analysis and judgment, improving the accuracy of the liquid level measurement, assisting production management personnel in carrying out analysis decision, reducing safety risk, being applied to the existing ISA95 architecture and improving the intelligent level of a factory.
The invention provides the following basic scheme: a liquid level monitoring and early warning system combined with an image intelligent recognition technology, which is used for monitoring container equipment and comprises: the system comprises a cloud computing center, a liquid level measurement subsystem and a material inlet and outlet monitoring subsystem;
The liquid level measurement subsystem is used for measuring liquid level information of the container equipment, generating an electric signal, collecting image information of the liquid level of the container equipment marked by scales, and uploading the electric signal and the image information to the cloud computing center;
the material inlet and outlet monitoring subsystem is used for monitoring material input and output information of the container equipment and uploading the material input and output information to the cloud computing platform;
and the cloud computing platform is used for comprehensively judging whether the liquid level measurement is normal or not according to the electric signals, the image information and the material input and output information and outputting a judging result.
Further, the liquid level measurement subsystem includes: the liquid level measuring device, the video identification module and the edge end controller;
Wherein the liquid level measuring device comprises: the scale marks the liquid level measuring device and the sensor module;
The scale mark liquid level measuring device is connected with the container equipment and is used for measuring the liquid level of the container equipment and marking the liquid level through the scale mark;
the sensor module is used for measuring the liquid level in the container equipment, generating an electric signal containing liquid level information and sending the electric signal to the edge end controller;
The video identification module is used for acquiring image information of the scale mark liquid level measuring device and uploading the image information to the cloud computing center;
And the edge end controller is used for transmitting the electric signals to the cloud computing center.
Further, the sensor module includes: a plurality of liquid level meters and liquid level switches;
the liquid level meter continuously measures and outputs a liquid level measurement continuous signal to the edge end controller;
The liquid level switch performs discrete measurement, outputs a liquid level switch signal and sends the liquid level switch signal to the edge end controller.
Further, the video recognition module includes: camera and NVR;
the camera is used for collecting image information of the scale mark liquid level measuring device and sending the image information to the NVR;
And the NVR is connected with the cloud computing center and used for uploading the image information to the cloud computing center.
Further, the liquid level measurement subsystem further comprises: the liquid level measuring equipment automatically purges the equipment;
the automatic purging device of the liquid level measuring device is used for automatically purging the liquid level measuring device through gas liquid;
the edge end controller is also used for controlling the working state of the automatic purging equipment of the liquid level measuring equipment.
Further, the material in-out monitoring subsystem comprises: the container equipment inputs the material measuring equipment and the container equipment outputs the material measuring equipment;
the container device inputs material measuring equipment and is used for monitoring material input information;
the container device outputs a material measuring device for monitoring material output information.
Further, the cloud computing platform includes: the system comprises a real-time data management center, a knowledge base center, a liquid level intelligent identification module, a container material inlet and outlet calculation module and a liquid level comprehensive judgment auxiliary module;
the real-time data management center is used for receiving the electric signals, the image information and the material input and output information;
The knowledge base center is used for storing parameters of container equipment;
the liquid level intelligent identification module is used for acquiring liquid level information measured by the scale mark liquid level measuring device according to the image information;
the container material inlet and outlet calculation module is used for acquiring liquid level variation according to container equipment parameters, material input quantity information and material input quantity information;
The liquid level comprehensive judgment auxiliary module is used for judging whether the liquid levels measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent according to the electric signals, the liquid level information and the liquid level variation, if so, judging that the liquid level measurement is normal; if not, judging that the fault exists.
Further, the intelligent liquid level identification module is used for acquiring liquid level information measured by the scale mark liquid level measuring device according to image information, and comprises:
S101, detecting a scale mark liquid level measuring device in an image by adopting a target detection model according to image information;
S102, extracting four corner feature points of a liquid level meter by adopting an SURF algorithm interface of OpenCV, and performing inclination correction according to the four corner feature points to extract a tubular region image of the liquid level meter;
S103, integrating projection according to color values along the scale direction according to the tubular region image to convert the color values into one-dimensional signals;
S104, gradient difference is adopted on the one-dimensional signals, differential signals are obtained, peak values are obtained through a peak value searching algorithm, and the positions of the corresponding peak values are converted into scale percentages to serve as liquid level information.
Further, judging whether the liquid levels measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent according to the electric signals, the liquid level information and the liquid level variation, if so, judging that the liquid level measurement is normal; if not, judging that the fault exists, including:
Judging whether the difference of the liquid level information acquired by the two modules accords with the preset liquid level information difference range or not according to the liquid level measured by the liquid level intelligent recognition module and the sensor module, if so, conforming the liquid level measured by the liquid level intelligent recognition module and the sensor module, and if not, not conforming the liquid level measured by the liquid level intelligent recognition module and the sensor module;
Judging whether the liquid level measured by the container material inlet and outlet calculation module is consistent with the liquid level measured by the liquid level intelligent recognition module or the sensor module, acquiring liquid level information acquired by the liquid level intelligent recognition module or the sensor module in the same time period, calculating liquid level variation, comparing the liquid level variation with the liquid level variation acquired by the container material inlet and outlet calculation module to acquire a liquid level variation difference value, judging whether the liquid level variation difference value is within a preset liquid level variation difference value range, if yes, conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module, and if not, not conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module;
if the liquid level measured by any one module is not consistent with the liquid levels measured by the other two modules, judging that a fault exists;
If the liquid level measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent, the liquid level measurement is judged to be normal.
Further, the cloud computing center further comprises a historical data storage center for storing all data received by the real-time data management center.
The beneficial effect of this scheme: according to the scheme, for liquid level measurement of container equipment, a traditional sensor is adopted to acquire an electric signal containing liquid level information, a traditional scale mark is also adopted to measure, image information of the liquid level of the container equipment is acquired by the scale mark, and a material inlet and outlet monitoring subsystem is also adopted to monitor material input and output information of the container equipment so as to monitor the liquid level variation;
Comprehensively judging whether the liquid level measurement is normal or not through the cloud computing platform according to the electric signals, the image information and the material input and output information, outputting a judging result, judging whether the liquid levels measured by the liquid level intelligent identification module, the container in-out material computing module and the sensor module are consistent or not according to the electric signals, the liquid level information and the liquid level variation, and judging that faults exist if the liquid level measured by any one module is inconsistent with the liquid levels measured by other two modules; if the liquid level measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent, judging that the liquid level measurement is normal, mutually verifying the modules, improving the accuracy of the liquid level measurement, replacing manual judgment decision, reducing the manual labor intensity, realizing the intelligent maintenance assistance of container equipment and the accurate judgment of production monitoring liquid level from management, and improving the intelligent level of a factory;
The cloud computing center is adopted for information storage and operation, and the method can be applied to the improvement of the existing ISA95 architecture, and the rapid upgrading to an unmanned factory is realized; in the specific implementation, the existing ISA95 measurement architecture is utilized, so that the existing liquid level measurement system and liquid level monitoring system are improved, and the stability and reliability of remote monitoring are improved; the added cost of hardware is far lower than the cost of any liquid level measuring sensor in the traditional measuring mode in an ISA95 framework; the original non-electric signal liquid level measurement mode can be connected into the cloud platform through the existing video system or a newly-added camera, so that the visualization of liquid level measurement data is realized, and the existing multiple non-electric signal liquid level measurement devices can be connected with low cost.
To sum up, this scheme can carry out multiple liquid level measurement to carry out comprehensive analysis and judgement, improve liquid level measurement's accuracy, with supplementary production manager carries out the analysis decision, reduce the security risk, and can apply to current ISA95 framework, improve the intelligent level of mill.
Drawings
FIG. 1 is a logic block diagram of an embodiment of a liquid level monitoring and early warning system incorporating image intelligent recognition technology in accordance with the present invention;
Fig. 2 is a schematic flow chart of image analysis in an embodiment of a liquid level monitoring and early warning system combining with an image intelligent recognition technology.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1: a liquid level monitoring and early warning system combined with an image intelligent recognition technology, which is used for monitoring container equipment and comprises: the system comprises a cloud computing center, a liquid level measurement subsystem and a material inlet and outlet monitoring subsystem;
container devices, including but not limited to: the device comprises a pressing device and a normal pressure device;
The liquid level measurement subsystem is used for measuring liquid level information of the container equipment, generating an electric signal, monitoring image information of the liquid level of the container equipment marked by scales, and uploading the electric signal and the image information to the cloud computing center;
A fluid level measurement subsystem, comprising: the device comprises liquid level measurement equipment, a video identification module, an edge end controller and automatic purging equipment of the liquid level measurement equipment;
Wherein the liquid level measuring device comprises: the scale marks the liquid level measuring device and the sensor module;
The scale mark liquid level measuring device is provided with scales to mark the liquid level, and the communicating vessel does not have electric signal output;
The scale mark liquid level measuring device is connected with the container equipment and is used for measuring the liquid level of the container equipment and marking the liquid level through the scale mark; in the embodiment, the scale mark liquid level measuring device adopts a communicating vessel;
the sensor module is used for measuring the liquid level in the container equipment, generating an electric signal containing liquid level information and sending the electric signal to the edge end controller;
a sensor module, comprising: a plurality of liquid level meters and liquid level switches;
The liquid level meter performs continuous measurement and outputs a liquid level measurement continuous signal, i.e. an electrical signal containing the measurement result, to the edge end controller, including but not limited to: radar, differential pressure measurement and magnetic flaps; the liquid level switch performs discrete measurement, outputs a liquid level switch signal, namely a discrete electric signal containing a measurement result, and sends the discrete electric signal to the edge end controller;
The video identification module is used for acquiring image information of the scale mark liquid level measuring device and uploading the image information to the cloud computing center;
A video recognition module, comprising: camera and NVR; the camera is used for collecting image information of the scale mark liquid level measuring device and sending the image information to the NVR; the NVR is connected with the cloud computing center and used for uploading the image information to the cloud computing center;
The edge end controller is used for controlling the working state of the automatic purging equipment of the liquid level measuring equipment and transmitting a liquid level measuring continuous signal and a liquid level switching signal to the cloud computing center; the edge end controller can adopt a traditional PLC and other controllers with communication control functions, and also can adopt a functional module in the controllers, namely the PLC in the embodiment;
the automatic purging device of the liquid level measuring device is used for automatically purging the liquid level measuring device through gas and liquid, cleaning scale formation and dirt of the liquid level measuring device and preventing the measurement stability from being influenced.
The material inlet and outlet monitoring subsystem is used for monitoring material input and output information of the container equipment and uploading the material input and output information to the cloud computing platform; wherein the material is a liquid stored in the container means;
The material monitoring subsystem of cominging in and going out includes: the container equipment inputs the material measuring equipment and the container equipment outputs the material measuring equipment;
The container equipment is input into the material measuring equipment and is used for monitoring material input information and uploading the material input information to the real-time data management center through the edge end controller;
the container equipment outputs material measurement equipment, is used for monitoring material output information, and uploads the material output information to the real-time data management center through the edge end controller;
In this embodiment, the material input and output device of the container device and the material output device of the container device are configured by a flow monitoring device and a pressure monitoring device at front and rear inlet and outlet ends of the container device, so as to monitor the material input and output information in the container device and use the information as one of judging conditions for whether the liquid level measurement is normal or not.
And the cloud computing platform is used for comprehensively judging whether the liquid level measurement is normal or not according to the electric signals, the image information and the material input and output information and outputting a judging result.
A cloud computing platform, comprising: the system comprises a real-time data management center, a knowledge base center, a liquid level intelligent identification module, a container material inlet and outlet calculation module, a liquid level comprehensive judgment auxiliary module and a historical data storage center;
the real-time data management center is used for receiving the electric signals, the image information and the material input and output information;
the liquid level measuring device is also used for displaying the measured liquid level and the judging result of the liquid level comprehensive judging auxiliary module;
the knowledge base center is used for storing container equipment parameters, medium information and liquid level measurement equipment information; wherein the container device parameters include, but are not limited to: volume shape, wall thickness, material and pressure curve of the container device; medium information including, but not limited to, temperature, pressure, physicochemical properties of the medium, composition of the medium stored by the container apparatus; level measurement device information including, but not limited to: detecting principle, detecting design curve and primary adjustment data of the traditional liquid level measuring instrument; providing basic data for each calculation;
the liquid level intelligent recognition module is used for acquiring liquid level information measured by the scale mark liquid level measurement device according to the image information, as shown in fig. 2, specifically,
S101, detecting a scale mark liquid level measuring device in an image by adopting a target detection model according to image information;
S102, extracting four corner feature points of a liquid level meter by adopting an SURF algorithm interface of OpenCV, performing inclination correction according to the four corner feature points, and extracting a tubular region image of the liquid level meter so as to further reduce a background interference region;
S103, integrating projection according to color values along the scale direction according to the tubular region image to convert the color values into one-dimensional signals;
S104, gradient difference is adopted on the one-dimensional signals, differential signals are obtained, peak values are obtained through a peak value searching algorithm, and the positions of the corresponding peak values are converted into scale percentages to serve as liquid level information.
The container material inlet and outlet calculation module is used for acquiring liquid level variation according to container equipment parameters, material input quantity information and material input quantity information;
The liquid level comprehensive judgment auxiliary module is used for judging whether the liquid levels measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent according to the electric signals, the liquid level information and the liquid level variation, if so, judging that the liquid level measurement is normal; if not, judging that the fault exists.
Specifically, whether the liquid level measured by the liquid level intelligent recognition module is consistent with the liquid level measured by the sensor module or not is judged, whether the difference of the liquid level information acquired by the two modules is consistent with the range of the preset liquid level information difference value is judged, if yes, the liquid level measured by the liquid level intelligent recognition module is consistent with the liquid level measured by the sensor module, and if not, the liquid level measured by the liquid level intelligent recognition module is inconsistent with the liquid level measured by the sensor module;
Judging whether the liquid level measured by the container material inlet and outlet calculation module is consistent with the liquid level measured by the liquid level intelligent recognition module or the sensor module, acquiring liquid level information acquired by the liquid level intelligent recognition module or the sensor module in the same time period, calculating liquid level variation, comparing the liquid level variation with the liquid level variation acquired by the container material inlet and outlet calculation module to acquire a liquid level variation difference value, judging whether the liquid level variation difference value is within a preset liquid level variation difference value range, if yes, conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module, and if not, not conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module;
if the liquid level measured by any one module is not consistent with the liquid levels measured by the other two modules, judging that a fault exists, correspondingly generating fault early warning information of the module, and pushing the fault early warning information to a user terminal and a real-time data management center;
If the liquid level measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent, the liquid level measurement is judged to be normal.
The historical data storage center is used for storing all data received by the real-time data management center so as to facilitate data tracing
The liquid level comprehensive judgment auxiliary module is also used for generating a pre-maintenance auxiliary message for container equipment management by carrying out statistical analysis on the historical data and pushing the pre-maintenance auxiliary message to the user terminal and the real-time data management center.
The foregoing is merely an embodiment of the present application, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application date or before the priority date, can know all the prior art in the field, and has the capability of applying the conventional experimental means before the date, and a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (8)
1. A liquid level monitoring and early warning system combined with an image intelligent recognition technology, which is used for monitoring container equipment, and is characterized by comprising the following components: the system comprises a cloud computing center, a liquid level measurement subsystem and a material inlet and outlet monitoring subsystem;
The liquid level measurement subsystem is used for measuring liquid level information of the container equipment, generating an electric signal, collecting image information of the liquid level of the container equipment marked by scales, and uploading the electric signal and the image information to the cloud computing center;
The fluid level measurement subsystem includes: the liquid level measuring device, the video identification module and the edge end controller;
Wherein the liquid level measuring device comprises: the scale marks the liquid level measuring device and the sensor module;
The scale mark liquid level measuring device is connected with the container equipment and is used for measuring the liquid level of the container equipment and marking the liquid level through the scale mark;
the sensor module is used for measuring the liquid level in the container equipment, generating an electric signal containing liquid level information and sending the electric signal to the edge end controller;
The video identification module is used for acquiring image information of the scale mark liquid level measuring device and uploading the image information to the cloud computing center;
the edge end controller is used for transmitting the electric signals to the cloud computing center;
the material inlet and outlet monitoring subsystem is used for monitoring material input and output information of the container equipment and uploading the material input and output information to the cloud computing platform;
the cloud computing platform is used for comprehensively judging whether the liquid level measurement is normal or not according to the electric signals, the image information and the material input and output information;
the cloud computing platform comprises: the system comprises a real-time data management center, a knowledge base center, a liquid level intelligent identification module, a container material inlet and outlet calculation module and a liquid level comprehensive judgment auxiliary module;
the real-time data management center is used for receiving the electric signals, the image information and the material input and output information;
The knowledge base center is used for storing parameters of container equipment;
the liquid level intelligent identification module is used for acquiring liquid level information measured by the scale mark liquid level measuring device according to the image information;
the container material inlet and outlet calculation module is used for acquiring liquid level variation according to container equipment parameters, material input quantity information and material input quantity information;
The liquid level comprehensive judgment auxiliary module is used for judging whether the liquid levels measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent according to the electric signals, the liquid level information and the liquid level variation, if so, judging that the liquid level measurement is normal; if not, judging that the fault exists.
2. The liquid level monitoring and early warning system combined with the image intelligent recognition technology according to claim 1, wherein the sensor module comprises: a plurality of liquid level meters and liquid level switches;
the liquid level meter continuously measures and outputs a liquid level measurement continuous signal to the edge end controller;
The liquid level switch performs discrete measurement, outputs a liquid level switch signal and sends the liquid level switch signal to the edge end controller.
3. The liquid level monitoring and early warning system combined with the intelligent image recognition technology according to claim 1, wherein the video recognition module comprises: camera and NVR;
the camera is used for collecting image information of the scale mark liquid level measuring device and sending the image information to the NVR;
And the NVR is connected with the cloud computing center and used for uploading the image information to the cloud computing center.
4. The liquid level monitoring and early warning system in combination with image intelligent recognition technology of claim 1, wherein the liquid level measurement subsystem further comprises: the liquid level measuring equipment automatically purges the equipment;
the automatic purging device of the liquid level measuring device is used for automatically purging the liquid level measuring device through gas liquid;
the edge end controller is also used for controlling the working state of the automatic purging equipment of the liquid level measuring equipment.
5. The liquid level monitoring and early warning system combined with the image intelligent recognition technology according to claim 1, wherein the material inlet and outlet monitoring subsystem comprises: the container equipment inputs the material measuring equipment and the container equipment outputs the material measuring equipment;
The container equipment inputs material measurement equipment, is used for monitoring material input information, and upload to the cloud computing center;
the container equipment outputs the material measuring equipment, is used for monitoring the material output information, and upload to the cloud computing center.
6. The liquid level monitoring and early warning system combined with the image intelligent recognition technology according to claim 1, wherein the liquid level intelligent recognition module is configured to obtain liquid level information measured by the scale mark liquid level measurement device according to image information, and includes:
S101, detecting a scale mark liquid level measuring device in an image by adopting a target detection model according to image information;
S102, extracting four corner feature points of a liquid level meter by adopting an SURF algorithm interface of OpenCV, and performing inclination correction according to the four corner feature points to extract a tubular region image of the liquid level meter;
S103, integrating projection according to color values along the scale direction according to the tubular region image to convert the color values into one-dimensional signals;
S104, gradient difference is adopted on the one-dimensional signals, differential signals are obtained, peak values are obtained through a peak value searching algorithm, and the positions of the corresponding peak values are converted into scale percentages to serve as liquid level information.
7. The liquid level monitoring and early warning system combined with the image intelligent recognition technology according to claim 1, wherein whether the liquid levels measured by the liquid level intelligent recognition module, the container material inlet and outlet calculation module and the sensor module are consistent or not is judged according to the electric signals, the liquid level information and the liquid level variation, if yes, the liquid level measurement is judged to be normal; if not, judging that the fault exists, including:
Judging whether the difference of the liquid level information acquired by the two modules accords with the preset liquid level information difference range or not according to the liquid level measured by the liquid level intelligent recognition module and the sensor module, if so, conforming the liquid level measured by the liquid level intelligent recognition module and the sensor module, and if not, not conforming the liquid level measured by the liquid level intelligent recognition module and the sensor module;
Judging whether the liquid level measured by the container material inlet and outlet calculation module is consistent with the liquid level measured by the liquid level intelligent recognition module or the sensor module, acquiring liquid level information acquired by the liquid level intelligent recognition module or the sensor module in the same time period, calculating liquid level variation, comparing the liquid level variation with the liquid level variation acquired by the container material inlet and outlet calculation module to acquire a liquid level variation difference value, judging whether the liquid level variation difference value is within a preset liquid level variation difference value range, if yes, conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module, and if not, not conforming the container material inlet and outlet calculation module to the liquid level measured by the liquid level intelligent recognition module or the sensor module;
if the liquid level measured by any one module is not consistent with the liquid levels measured by the other two modules, judging that a fault exists;
If the liquid level measured by the liquid level intelligent identification module, the container material inlet and outlet calculation module and the sensor module are consistent, the liquid level measurement is judged to be normal.
8. The liquid level monitoring and early warning system combined with the intelligent image recognition technology according to claim 1, wherein the cloud computing center further comprises a historical data storage center for storing all data received by the real-time data management center.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000146675A (en) * | 1998-11-16 | 2000-05-26 | Hitachi Ltd | Method and facility for measurement of water level |
| JP2006266730A (en) * | 2005-03-22 | 2006-10-05 | Sumitomo Chemical Co Ltd | System and program for monitoring position of water level |
| KR101177029B1 (en) * | 2012-06-04 | 2012-08-24 | 청정테크주식회사 | Intergrated management system for water supply |
| CN103776515A (en) * | 2014-01-14 | 2014-05-07 | 安泰科技股份有限公司 | Dynamic liquid level height measuring device and dynamic liquid level height measuring method as well as closed-loop control system and closed-loop control method |
| KR20180049755A (en) * | 2016-11-03 | 2018-05-11 | (주)케이스포유 | Water Level Measurement Device using Ultrasonic sensor and Optic Camera |
| CN108775944A (en) * | 2018-05-07 | 2018-11-09 | 国家能源投资集团有限责任公司 | Level measuring method, device and system, storage medium and processor |
| CN113091827A (en) * | 2021-04-29 | 2021-07-09 | 中铁第四勘察设计院集团有限公司 | Intelligent flood automatic monitoring system for urban rail transit underground complex |
| CN114119471A (en) * | 2021-10-19 | 2022-03-01 | 国家石油天然气管网集团有限公司 | Oil cup liquid level detection method for inspection robot of oil transportation field station |
| CN116659613A (en) * | 2023-04-25 | 2023-08-29 | 广西电网有限责任公司桂林供电局 | River channel water level monitoring method and device with high reliability and low data volume |
| CN116989864A (en) * | 2023-08-11 | 2023-11-03 | 哈尔滨电机厂有限责任公司 | Generator bearing oil groove liquid level acquisition method |
-
2024
- 2024-05-10 CN CN202410574153.0A patent/CN118149925A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000146675A (en) * | 1998-11-16 | 2000-05-26 | Hitachi Ltd | Method and facility for measurement of water level |
| JP2006266730A (en) * | 2005-03-22 | 2006-10-05 | Sumitomo Chemical Co Ltd | System and program for monitoring position of water level |
| KR101177029B1 (en) * | 2012-06-04 | 2012-08-24 | 청정테크주식회사 | Intergrated management system for water supply |
| CN103776515A (en) * | 2014-01-14 | 2014-05-07 | 安泰科技股份有限公司 | Dynamic liquid level height measuring device and dynamic liquid level height measuring method as well as closed-loop control system and closed-loop control method |
| KR20180049755A (en) * | 2016-11-03 | 2018-05-11 | (주)케이스포유 | Water Level Measurement Device using Ultrasonic sensor and Optic Camera |
| CN108775944A (en) * | 2018-05-07 | 2018-11-09 | 国家能源投资集团有限责任公司 | Level measuring method, device and system, storage medium and processor |
| CN113091827A (en) * | 2021-04-29 | 2021-07-09 | 中铁第四勘察设计院集团有限公司 | Intelligent flood automatic monitoring system for urban rail transit underground complex |
| CN114119471A (en) * | 2021-10-19 | 2022-03-01 | 国家石油天然气管网集团有限公司 | Oil cup liquid level detection method for inspection robot of oil transportation field station |
| CN116659613A (en) * | 2023-04-25 | 2023-08-29 | 广西电网有限责任公司桂林供电局 | River channel water level monitoring method and device with high reliability and low data volume |
| CN116989864A (en) * | 2023-08-11 | 2023-11-03 | 哈尔滨电机厂有限责任公司 | Generator bearing oil groove liquid level acquisition method |
Non-Patent Citations (1)
| Title |
|---|
| 周志艳;姜锐;罗锡文;兰玉彬;宋灿灿;李克亮;: "液位监测技术在植保无人机中的应用分析", 农业机械学报, vol. 48, no. 04, 25 April 2017 (2017-04-25), pages 47 - 55 * |
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