Monitoring system and method for automatically identifying oil and water leakage

Abstract

The invention discloses a monitoring system and method for automatically identifying oil and water leakage, and relates to the technical field of automatic oil and water leakage identification, and the system comprises a camera which is used for fixed-point image recording and itinerant video recording; the image transmission module is used for transmitting the image recorded by the camera back to the monitoring platform in a wired mode; the monitoring platform is used for receiving, storing and analyzing image data returned by the camera; the algorithm analysis module is used for preprocessing and analyzing the image data so as to detect whether an abnormal phenomenon of oil leakage or water leakage exists or not; according to the system, through automatic camera monitoring, image transmission, intelligent analysis and diversified alarm, real-time monitoring and quick response to oil and water leakage conditions of equipment are realized, the monitoring efficiency and accuracy are improved, the labor cost is reduced, and the working efficiency is improved. And the safety and the reliability of the equipment are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic identification of oil leakage and water leakage, and in particular to an automatic identification of oil leakage and water leakage monitoring system and method. Background Art

[0002] The power plant is equipped with a large number of cameras, which require manual control to check on-site equipment multiple times a day, taking a lot of time. In addition, omissions or carelessness may occur due to human factors.

[0003] In addition, the existing monitoring system does not have an intelligent analysis algorithm function. Even if the camera realizes the automatic patrol function and captures the leakage point of the equipment, the monitoring system has no ability to analyze and judge the images transmitted back by the camera. It is impossible to determine whether the equipment is leaking oil or water and automatically alarm.

[0004] Therefore, it is urgent to propose an automatic oil leakage monitoring system and method. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the above problems existing in the existing automatic identification oil leakage monitoring system, the present invention is proposed.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: an automatic oil leakage and water leakage monitoring system, comprising:

[0008] Camera, used for recording images at fixed points and patrolling videos;

[0009] The image transmission module is used to transmit the images recorded by the camera back to the monitoring platform via wired mode;

[0010] Monitoring platform, used to receive, store and analyze image data sent back by cameras;

[0011] Algorithm analysis module, used to pre-process and analyze image data to detect whether there is an abnormal phenomenon of oil leakage or water leakage;

[0012] Alarm signal module, when the algorithm analysis module detects an abnormal phenomenon, it automatically sends out an alarm signal.

[0013] As a preferred solution of the automatic identification oil and water leakage monitoring system of the present invention, the recorded image transmission method includes Ethernet and optical fiber.

[0014] As a preferred solution of the automatic identification oil and water leakage monitoring system of the present invention, the monitoring platform includes a server, a storage device and analysis software.

[0015] As a preferred solution of the automatic identification of oil and water leakage monitoring system of the present invention, wherein: the algorithm analysis module is built into the monitoring platform.

[0016] As a preferred solution of the automatic identification of oil leakage and water leakage monitoring system described in the present invention, the algorithm analysis module adopts machine learning and deep learning technology to automatically identify features in the image and determine whether there is an abnormality.

[0017] As a preferred solution of the automatic identification oil and water leakage monitoring system of the present invention, the alarm signal module can send alarm signals by SMS, email and sound prompt.

[0018] The beneficial effects of the present invention are as follows: the system realizes real-time monitoring and rapid response to oil and water leakage of equipment through automated camera monitoring, image transmission, intelligent analysis and diversified alarms, thereby improving monitoring efficiency and accuracy, reducing labor costs, and enhancing the safety and reliability of equipment.

[0019] In view of the above problems existing in the existing automatic identification and monitoring method for oil leakage, the present invention is proposed.

[0020] In order to solve the above technical problems, the present invention provides the following technical solutions: an automatic identification oil leakage monitoring method, applied to the automatic identification oil leakage monitoring system as described above, comprising the following steps:

[0021] S1: Record images at fixed points or roving video with a camera;

[0022] S2: Transmit the recorded image back to the monitoring platform through the image transmission module;

[0023] S3: Preprocess and perform algorithm analysis on the image on the monitoring platform;

[0024] S4: When an abnormal phenomenon is detected, an alarm signal is sent out through the alarm signal module.

[0025] As a preferred solution of the method for automatically identifying oil leakage and water leakage monitoring of the present invention, in S3, image preprocessing includes denoising, enhancement and cropping.

[0026] As a preferred solution of the automatic identification of oil leakage and water leakage monitoring method described in the present invention, wherein: in S3, the algorithm analysis includes using machine learning and deep learning technology to perform feature recognition and abnormality judgment on the image.

[0027] As a preferred solution of the automatic identification and monitoring method for oil leakage and water leakage of the present invention, in S4, the alarm signal can be sent in a variety of ways, including text messages, emails and sound prompts.

[0028] Beneficial effects of the present invention: This method realizes rapid identification of equipment abnormalities and multi-mode alarms through standardized operating procedures combined with image preprocessing and deep learning technology, ensures the timeliness and effectiveness of monitoring, reduces human errors, and improves monitoring coverage and response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0030] Figure 1 This is a schematic diagram of the automatic oil leakage and water leakage monitoring system of the present invention.

[0031] Figure 2 It is a schematic diagram of the automatic identification and monitoring method of oil leakage according to the present invention. DETAILED DESCRIPTION

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0033] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0034] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0035] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0036] Example 1

[0037] Reference Figure 1 , which is the first embodiment of the present invention, provides an automatic identification oil and water leakage monitoring system, including a camera 100, which is used for fixed-point image recording and patrol video recording. The system automatically controls the camera 100 to record images or patrol videos of on-site equipment at fixed points through a preset program or algorithm. Fixed-point recording is usually used for continuous monitoring of key equipment or leak-prone points to ensure that these areas are always within the field of view of the camera 100. Patrol video recording is used to cover a wider area, and the camera 100 moves and shoots according to a preset path or time interval.

[0038] The system also includes an image transmission module 200, which is used to transmit the image recorded by the camera 100 back to the monitoring platform 300 via a wired manner; the monitoring platform 300 is used to receive, store and analyze the image data transmitted back by the camera 100. The monitoring platform 300 should have high performance, high reliability and easy scalability to cope with the processing and analysis needs of large amounts of image data.

[0039] Furthermore, the system also includes an algorithm analysis module 400, which is built into the monitoring platform 300. Before performing algorithm analysis, the image needs to be preprocessed, including denoising, enhancement, cropping and other steps to improve the image quality and the accuracy of the algorithm analysis. The monitoring system analyzes and evaluates the equipment in the image through the algorithm analysis module 400 to detect whether there are abnormal phenomena such as oil leakage or water leakage; the alarm signal module 500 automatically sends an alarm signal when the algorithm analysis module 400 detects an abnormal phenomenon to notify relevant personnel to handle it.

[0040] In summary, the system can automatically control the camera 100 to perform fixed-point or patrol monitoring of on-site equipment to ensure that the key parts of the equipment are always within the monitoring range. The high-definition imaging capability of the camera 100 enables the system to accurately capture traces of oil or water leakage on the surface of the equipment. When the system detects abnormal phenomena such as oil or water leakage in the equipment, it will automatically send out an alarm signal to notify relevant personnel to take timely measures for long-term monitoring and algorithm training.

[0041] Specifically, the system can continuously monitor the equipment, record the operating status and abnormal phenomena of the equipment, and provide data support for the maintenance and management of the equipment. Through the long-term accumulated data, the system can gradually optimize the monitoring algorithm and improve the accuracy and efficiency of recognition. In addition, the system supports the addition of other abnormal monitoring functions through algorithm training, such as abnormal vibration and abnormal temperature. This enables the system to monitor the operating status of the equipment more comprehensively and promptly discover and deal with potential safety hazards.

[0042] Furthermore, compared to traditional equipment monitoring that requires a lot of manpower and time, this system can automatically complete the monitoring task, greatly reducing labor costs, allowing personnel to focus more on other important tasks and improve overall work efficiency. In addition, through automation and intelligent technology, this system can quickly detect abnormal phenomena in equipment and nip hidden dangers in the bud, which helps avoid production interruptions and safety accidents caused by equipment failures and improves the safety and reliability of equipment.

[0043] Example 2

[0044] Reference Figure 1 , which is the second embodiment of the present invention, and this embodiment is different from the first embodiment in that the recorded image is transmitted back to the monitoring platform 300 via a wired method, which generally includes Ethernet, optical fiber, etc., and has the advantages of stable transmission and large bandwidth.

[0045] The monitoring platform 300 is responsible for receiving, storing and analyzing the image data sent back by the camera 100. It includes components such as a server 301, a storage device 302, and an analysis software 303. The algorithm analysis module 400 uses machine learning and deep learning technology to automatically identify features in the image and determine whether there is an abnormality.

[0046] The alarm signal module 500 can send alarm signals via text messages, emails and sound prompts.

[0047] The remaining structures are the same as those of Example 1.

[0048] Example 3

[0049] Reference Figure 2 , which is the third embodiment of the present invention, and this embodiment is different from the second embodiment in that: an automatic identification oil leakage monitoring method, applied to the automatic identification oil leakage monitoring system as described above, comprises the following steps,

[0050] S1: Recording images at fixed points or roving video by camera 100;

[0051] S2: Transmit the recorded image back to the monitoring platform 300 via the image transmission module 200;

[0052] S3: Preprocessing and algorithm analysis of the image on the monitoring platform 300;

[0053] S4: When an abnormal phenomenon is detected, an alarm signal is issued through the alarm signal module 500.

[0054] In S3, image preprocessing includes denoising, enhancement, and cropping, and algorithm analysis includes the use of machine learning and deep learning techniques to perform feature recognition and anomaly judgment on images.

[0055] In S4, warning signals can be sent in a variety of ways, including SMS, email and sound prompts.

[0056] The remaining structure is the same as that of Example 2.

[0057] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0058] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0059] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0060] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An automatic oil and water leakage monitoring system, characterized by: include, A camera (100) is used for recording images at fixed points and roving video; An image transmission module (200) is used to transmit the image recorded by the camera (100) back to the monitoring platform (300) via a wired manner; A monitoring platform (300), used for receiving, storing and analyzing image data transmitted by the camera (100); An algorithm analysis module (400) is used to pre-process and analyze the image data to detect whether there is an abnormal phenomenon such as oil leakage or water leakage; The alarm signal module (500) automatically sends out an alarm signal when the algorithm analysis module (400) detects an abnormal phenomenon.

2. The automatic identification oil and water leakage monitoring system according to claim 1 is characterized by: The recorded images can be transmitted via Ethernet and optical fiber.

3. The automatic identification oil and water leakage monitoring system according to claim 2 is characterized in that: The monitoring platform (300) includes a server (301), a storage device (302) and analysis software (303).

4. The automatic identification oil and water leakage monitoring system according to claim 3 is characterized by: The algorithm analysis module (400) is built into the monitoring platform (300).

5. The automatic identification oil and water leakage monitoring system according to claim 4 is characterized in that: The algorithm analysis module (400) uses machine learning and deep learning technologies to automatically identify features in an image and determine whether an abnormality exists.

6. The automatic identification oil and water leakage monitoring system according to claim 5 is characterized by: The alarm signal module (500) can send an alarm signal via text message, email or voice prompt.

7. An automatic oil leakage and water leakage monitoring method, applied to the automatic oil leakage and water leakage monitoring system as claimed in claims 1 to 6, characterized in that: The following steps are included: S1: Recording images at fixed points or roving video using a camera (100); S2: transmitting the recorded image back to the monitoring platform (300) via the image transmission module (200); S3: Preprocessing and performing algorithm analysis on the image on the monitoring platform (300); S4: When an abnormal phenomenon is detected, an alarm signal is issued through the alarm signal module (500).

8. The automatic identification and monitoring method for oil leakage according to claim 7 is characterized in that: In S3, image preprocessing includes denoising, enhancement, and cropping.

9. The automatic identification and monitoring method for oil leakage according to claim 8 is characterized in that: In S3, algorithmic analysis includes the use of machine learning and deep learning techniques to perform feature recognition and anomaly judgment on images.

10. The automatic identification and monitoring method for oil leakage according to claim 9 is characterized in that: In S4, warning signals can be sent in a variety of ways, including SMS, email and sound prompts.

Images