Lubricating oil quality inspection system based on artificial intelligence technology

Abstract

The invention discloses a lubricating oil quality inspection system based on an artificial intelligence technology, which comprises a central processing system, a lubricating oil quality detection system, an artificial intelligence data processing system, an internet remote control system, an artificial intelligence model analysis system, an upper computer system, a quality interpretation system and an unqualified alarm system, the central processing system is connected with the lubricating oil quality detection system, the artificial intelligence data processing system, the internet remote control system and the artificial intelligence model analysis system. The lubricating oil quality inspection system based on the artificial intelligence technology is provided with the multi-mode quality detection system, the artificial intelligence data processing system and the artificial intelligence model analysis system, the quality of lubricating oil can be detected in multiple aspects, the viscosity, the flash point, the pour point, the water content and the pH value are integrated, and the detection accuracy is improved. The detection precision is higher, the automation degree is higher, the labor cost is reduced, and the lubricating oil detection efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of lubricating oil quality inspection technology, and in particular to a lubricating oil quality inspection system based on artificial intelligence technology. Background Technology

[0002] A lubricating oil quality inspection system is a management system for testing the quality of lubricating oil. During the manufacturing process of lubricating oil, quality inspection and control are required. This involves measuring the physical properties of the lubricating oil, such as viscosity, density, flash point, and pour point. Viscosity is an important characteristic of lubricating oil, affecting its lubrication performance. Commonly used testing methods include kinematic viscosity and kinematic viscosity index testing. With the continuous development of technology, people's requirements for lubricating oil quality inspection systems are also getting higher and higher.

[0003] Existing lubricating oil quality inspection systems have certain drawbacks. First, their structure is relatively simple, failing to effectively monitor and analyze lubricating oil from multiple perspectives, which can easily lead to the output of substandard lubricating oil and is detrimental to user experience. Furthermore, these systems suffer from low automation, poor inspection efficiency, and high labor costs, negatively impacting user experience. Therefore, we propose a lubricating oil quality inspection system based on artificial intelligence technology. Summary of the Invention

[0004] Technical problem solved: To address the shortcomings of existing technologies, this invention provides a lubricating oil quality inspection system based on artificial intelligence technology. It includes a multimodal quality detection system, an artificial intelligence data processing system, and an artificial intelligence model analysis system. This system can detect lubricating oil quality from multiple aspects, integrating viscosity, flash point, pour point, water content, and pH value. It offers higher inspection accuracy, a higher degree of automation, reduced labor costs, and improved efficiency in lubricating oil inspection, effectively solving the problems in the background technology.

[0005] Technical Solution: To achieve the above objectives, the technical solution adopted by this invention is as follows: a lubricating oil quality inspection system based on artificial intelligence technology, comprising a central processing system, a lubricating oil quality detection system, an artificial intelligence data processing system, an internet remote control system, an artificial intelligence model analysis system, a host computer system, a quality interpretation system, and a non-conforming alarm system. The central processing system is connected to the lubricating oil quality detection system, the artificial intelligence data processing system, the internet remote control system, and the artificial intelligence model analysis system. The internet remote control system is connected to the host computer system. The artificial intelligence model analysis system is connected to the quality interpretation system. The quality interpretation system is connected to the non-conforming alarm system.

[0006] As a preferred technical solution of this application, the lubricating oil quality testing system includes a viscosity testing module, a flash point testing module, a pour point testing module, a water content testing module, a pH value testing module, an information collection module, a wireless communication module, an information management and interaction module, a central processing module, a data output module, a testing and control module, and a data display module. The viscosity testing module, flash point testing module, pour point testing module, water content testing module, and pH value testing module are all connected to the information collection module. The information collection module is connected to the wireless communication module. The wireless communication module is connected to the information management and interaction module. The information management and interaction module is connected to the central processing module. The central processing module is connected to the data output module, the testing and control module, and the data display module.

[0007] As a preferred technical solution of this application, the artificial intelligence data processing system includes an AI cloud server input module, a data recognition module, a wireless communication module, a data processing module, a data analysis module, a data storage module, and a data modeling module. The AI ​​cloud server input module is connected to the data recognition module, the data recognition module is connected to the wireless communication module, the wireless communication module is connected to the data processing module, and the data processing module is connected to the data analysis module, the data storage module, and the data modeling module.

[0008] As a preferred technical solution of this application, the artificial intelligence model parsing system includes a multimodal AI data model, a model framework module, a dataset module, a model building module, a model training and deployment module, a data preprocessing module, a dataset building module, a data extraction module, a data parsing module, and a quality judgment module. The multimodal AI data model connects the model framework module and the dataset module. The model framework module connects the model building module and the model training and deployment module. The dataset module connects the data preprocessing module and the dataset building module. The model building module connects the data extraction module, the data parsing module, and the quality judgment module.

[0009] As a preferred technical solution of this application, the central processing system is bidirectionally connected to the lubricating oil quality detection system, the artificial intelligence data processing system, the Internet remote control system, and the artificial intelligence model analysis system. The host computer system remotely controls the central processing system through the Internet remote control system. The output end of the artificial intelligence model analysis system is connected to the input end of the quality interpretation system, and the output end of the quality interpretation system is connected to the input end of the non-conforming alarm system.

[0010] As a preferred technical solution of this application, the output terminals of the viscosity detection module, flash point detection module, pour point detection module, water content detection module, and pH value detection module are connected to the input terminal of the information collection module. The output terminal of the information collection module is connected to the input terminal of the information management interaction module through the wireless communication module. The output terminal of the central processing module is connected to the input terminal of the data output module, the detection control module, and the data display module.

[0011] As a preferred technical solution of this application, the output terminal of the AI ​​cloud server input module is connected to the input terminal of the data recognition module, the output terminal of the data recognition module is connected to the input terminal of the wireless communication module, the output terminal of the wireless communication module is connected to the input terminal of the data processing module, and the output terminal of the data processing module is connected to the input terminal of the data analysis module, the data storage module, and the data modeling module.

[0012] As a preferred technical solution of this application, the multimodal AI data model is bidirectionally connected to the model framework module and the dataset module; the model framework module is bidirectionally connected to the model building module and the model training and deployment module; the dataset module is bidirectionally connected to the data preprocessing module and the dataset building module; and the output end of the model building module is connected to the input end of the data extraction module, the data parsing module, and the quality judgment module.

[0013] Beneficial Effects: Compared with existing technologies, this invention provides a lubricating oil quality inspection system based on artificial intelligence technology, which has the following beneficial effects: This lubricating oil quality inspection system based on artificial intelligence technology has a central processing system connected to a lubricating oil quality detection system, an artificial intelligence data processing system, an internet remote control system, and an artificial intelligence model analysis system. The internet remote control system is connected to a host computer system, the artificial intelligence model analysis system is connected to a quality interpretation system, and the quality interpretation system is connected to a non-conforming alarm system. It is equipped with a multi-modal quality detection system, an artificial intelligence data processing system, and an artificial intelligence model analysis system, which can detect the quality of lubricating oil from multiple aspects, integrating viscosity, flash point, pour point, water content, and pH value. The inspection accuracy is higher, the degree of automation is higher, labor costs are reduced, and the efficiency of lubricating oil inspection is improved. The entire lubricating oil quality inspection system has a simple structure, is easy to operate, and has better performance than traditional methods. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the overall structure of a lubricating oil quality inspection system based on artificial intelligence technology according to the present invention.

[0015] Figure 2This is a schematic diagram of the structure of a lubricating oil quality inspection system based on artificial intelligence technology according to the present invention.

[0016] Figure 3 This is a schematic diagram of the structure of an artificial intelligence data processing system in a lubricating oil quality inspection system based on artificial intelligence technology according to the present invention.

[0017] Figure 4 This is a schematic diagram of the structure of the artificial intelligence model analysis system in the lubricating oil quality inspection system based on artificial intelligence technology according to the present invention. Detailed Implementation

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. However, those skilled in the art will understand that the embodiments described below are some embodiments of the present invention, but not all embodiments, and are only used to illustrate the present invention, and should not be regarded as limiting the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Where specific conditions are not specified in the embodiments, conventional conditions or conditions recommended by the manufacturer shall be followed. Where the manufacturers of reagents or instruments are not specified, they are all conventional products that can be purchased commercially.

[0019] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0020] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0021] like Figure 1-4As shown, a lubricating oil quality inspection system based on artificial intelligence technology includes a central processing system, a lubricating oil quality detection system, an artificial intelligence data processing system, an internet remote control system, an artificial intelligence model analysis system, a host computer system, a quality interpretation system, and a non-conforming alarm system. The central processing system is connected to the lubricating oil quality detection system, the artificial intelligence data processing system, the internet remote control system, and the artificial intelligence model analysis system. The internet remote control system is connected to the host computer system. The artificial intelligence model analysis system is connected to the quality interpretation system, and the quality interpretation system is connected to the non-conforming alarm system. There is a bidirectional signal connection between the central processing system and these systems. The host computer system remotely controls the central processing system via the internet remote control system. The output of the artificial intelligence model analysis system is connected to the input of the quality interpretation system, and the output of the quality interpretation system is connected to the input of the non-conforming alarm system. Equipped with a multimodal quality detection system, an artificial intelligence data processing system, and an artificial intelligence model analysis system, this system can detect the quality of lubricating oil from multiple aspects, integrating viscosity, flash point, pour point, water content, and pH value. This results in higher inspection accuracy, a higher degree of automation, reduced labor costs, and improved efficiency in lubricating oil inspection.

[0022] like Figure 2 As shown, the lubricating oil quality testing system includes a viscosity testing module, a flash point testing module, a pour point testing module, a water content testing module, a pH value testing module, an information collection module, a wireless communication module, an information management and interaction module, a central processing module, a data output module, a testing and control module, and a data display module. The viscosity testing module, flash point testing module, pour point testing module, water content testing module, and pH value testing module are all connected to the information collection module. The information collection module is connected to the wireless communication module. The wireless communication module is connected to the information management and interaction module. The information management and interaction module is connected to the central processing module. The central processing module is connected to the data output module, the testing and control module, and the data display module. The output terminals of the viscosity testing module, flash point testing module, pour point testing module, water content testing module, and pH value testing module are connected to the input terminals of the information collection module. The output terminal of the information collection module is connected to the input terminal of the information management and interaction module via the wireless communication module. The output terminal of the central processing module is connected to the input terminals of the data output module, the testing and control module, and the data display module.

[0023] like Figure 3As shown, the artificial intelligence data processing system includes an AI cloud server input module, a data recognition module, a wireless communication module, a data processing module, a data analysis module, a data storage module, and a data modeling module. The AI ​​cloud server input module is connected to the data recognition module, the data recognition module is connected to the wireless communication module, the wireless communication module is connected to the data processing module, the data processing module is connected to the data analysis module, the data storage module, and the data modeling module. The output of the AI ​​cloud server input module is connected to the input of the data recognition module, the output of the data recognition module is connected to the input of the wireless communication module, the output of the wireless communication module is connected to the input of the data processing module, and the output of the data processing module is connected to the inputs of the data analysis module, the data storage module, and the data modeling module.

[0024] like Figure 4 As shown, the artificial intelligence model parsing system includes a multimodal AI data model, a model framework module, a dataset module, a model building module, a model training and deployment module, a data preprocessing module, a dataset building module, a data extraction module, a data parsing module, and a quality judgment module. The multimodal AI data model connects the model framework module and the dataset module; the model framework module connects the model building module and the model training and deployment module; the dataset module connects the data preprocessing module and the dataset building module; the model building module connects the data extraction module, the data parsing module, and the quality judgment module; there are bidirectional signal connections between the multimodal AI data model and the model framework module and the dataset module; there are bidirectional signal connections between the model framework module and the model building module and the model training and deployment module; there are bidirectional signal connections between the dataset module and the data preprocessing module and the dataset building module; and the output of the model building module is connected to the input of the data extraction module, the data parsing module, and the quality judgment module.

[0025] Working principle: The central processing system connects the lubricating oil quality inspection system, the artificial intelligence data processing system, the Internet remote control system, and the artificial intelligence model analysis system. The Internet remote control system connects to the host computer system, the artificial intelligence model analysis system connects to the quality interpretation system, and the quality interpretation system connects to the non-conforming alarm system. It is equipped with a multi-modal quality inspection system, an artificial intelligence data processing system, and an artificial intelligence model analysis system, which can detect the quality of lubricating oil in multiple aspects, integrating viscosity, flash point, pour point, water content, and pH value. The inspection accuracy is higher, the degree of automation is higher, the labor cost is reduced, and the efficiency of lubricating oil inspection is improved.

[0026] It should be noted that, in this document, relational terms such as first and second (number one, number two), etc., are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0027] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A lubricating oil quality inspection system based on artificial intelligence technology, comprising a central processing system, a lubricating oil quality detection system, an artificial intelligence data processing system, an internet remote control system, an artificial intelligence model analysis system, a host computer system, a quality interpretation system, and a non-conforming alarm system, characterized in that: The central processing system is connected to the lubricating oil quality testing system, the artificial intelligence data processing system, the Internet remote control system, and the artificial intelligence model analysis system. The Internet remote control system is connected to the host computer system, the artificial intelligence model analysis system is connected to the quality interpretation system, and the quality interpretation system is connected to the non-conforming alarm system.

2. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 1, characterized in that: The lubricating oil quality testing system includes a viscosity testing module, a flash point testing module, a pour point testing module, a water content testing module, a pH value testing module, an information collection module, a wireless communication module, an information management and interaction module, a central processing module, a data output module, a testing and control module, and a data display module. The viscosity testing module, flash point testing module, pour point testing module, water content testing module, and pH value testing module are all connected to the information collection module. The information collection module is connected to the wireless communication module. The wireless communication module is connected to the information management and interaction module. The information management and interaction module is connected to the central processing module. The central processing module is connected to the data output module, the testing and control module, and the data display module.

3. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 1, characterized in that: The artificial intelligence data processing system includes an AI cloud server input module, a data recognition module, a wireless communication module, a data processing module, a data analysis module, a data storage module, and a data modeling module. The AI ​​cloud server input module is connected to the data recognition module, the data recognition module is connected to the wireless communication module, the wireless communication module is connected to the data processing module, and the data processing module is connected to the data analysis module, the data storage module, and the data modeling module.

4. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 1, characterized in that: The artificial intelligence model parsing system includes a multimodal AI data model, a model framework module, a dataset module, a model building module, a model training and deployment module, a data preprocessing module, a dataset building module, a data extraction module, a data parsing module, and a quality judgment module. The multimodal AI data model connects the model framework module and the dataset module. The model framework module connects the model building module and the model training and deployment module. The dataset module connects the data preprocessing module and the dataset building module. The model building module connects the data extraction module, the data parsing module, and the quality judgment module.

5. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 1, characterized in that: The central processing system is bidirectionally connected to the lubricating oil quality testing system, the artificial intelligence data processing system, the Internet remote control system, and the artificial intelligence model analysis system. The host computer system remotely controls the central processing system through the Internet remote control system. The output of the artificial intelligence model analysis system is connected to the input of the quality interpretation system, and the output of the quality interpretation system is connected to the input of the non-conforming alarm system.

6. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 2, characterized in that: The output terminals of the viscosity detection module, flash point detection module, pour point detection module, water content detection module, and pH value detection module are connected to the input terminal of the information collection module. The output terminal of the information collection module is connected to the input terminal of the information management and interaction module through the wireless communication module. The output terminal of the central processing module is connected to the input terminal of the data output module, detection control module, and data display module.

7. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 3, characterized in that: The output of the AI ​​cloud server input module is connected to the input of the data recognition module. The output of the data recognition module is connected to the input of the wireless communication module. The output of the wireless communication module is connected to the input of the data processing module. The output of the data processing module is connected to the inputs of the data analysis module, the data storage module, and the data modeling module.

8. The lubricating oil quality inspection system based on artificial intelligence technology according to claim 4, characterized in that: The multimodal AI data model is bidirectionally connected to the model framework module and the dataset module. The model framework module is bidirectionally connected to the model building module and the model training and deployment module. The dataset module is bidirectionally connected to the data preprocessing module and the dataset building module. The output of the model building module is connected to the input of the data extraction module, the data parsing module, and the quality judgment module.

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