Three-tier artificial intelligence detection system

Abstract

The application discloses a three-layer artificial intelligence detection system, which comprises at least one sensor, a gateway and a service platform. The sensor is used for sensing a device and obtaining sensing signal data of the device. The sensor comprises a first artificial intelligence module and a first communication module. The gateway comprises a second artificial intelligence module and a second communication module. The service platform comprises a third artificial intelligence module, a data storage management module and a third communication module. The sensor, the gateway and the service platform communicate with each other through the first, second and third communication modules. The received detection data and related programs are processed, managed and executed in layers through the multi-layer artificial intelligence technology, so that the following benefits can be achieved: distributed layer processing, high efficiency, high speed, low cost, easy development, sustainable automatic learning and updating of artificial intelligence models, and instant synchronous processing of a large amount of data.

Description

Technical Field

[0001] This invention relates to a detection system, and more particularly to a three-layer artificial intelligence detection system that can perform hierarchical processing, management, and execution of detection data and related procedures, and can process large amounts of data in real time and improve data processing efficiency. Background Technology

[0002] AIoT (Artificial Intelligence of Things) intelligent networking introduces artificial intelligence systems into IoT (Internet of Things) technology. Previous IoT technology applications have created close connections between several devices, such as common functions like automation, remote control, and device interconnection, all of which fall within the scope of IoT applications.

[0003] As AIoT smart networking technology gradually matures, innovative applications of AIoT smart networking in industry and daily life are increasing. Because AIoT has the ability to learn from external data and make predictive analysis and judgment decisions, it can continuously evolve through data accumulation and provide better customized services.

[0004] The current systems that apply AIoT smart networking technology to device detection generally consist of a perception layer, a network layer, and an application layer. The perception layer uses sensors to acquire sensor signal data from devices anytime and anywhere. The network layer uses gateways to act as a medium for transmitting sensor signal data and sending commands, so as to accurately transmit device information. The application layer uses application servers to store, analyze, and reuse data to increase management efficiency or provide better services.

[0005] While the existing equipment detection systems mentioned above can collect a large amount of data from the equipment, improve the effectiveness of analysis and prediction, and thus predict equipment failures and reduce the impact of failure repairs, they usually rely on servers to analyze and process the large amount of big data and information collected and to implement intelligent control of the equipment. As a result, the servers must bear a huge burden in terms of data reception, processing and control, leading to low efficiency and slow speed of data processing in the entire system. Summary of the Invention

[0006] In view of the above, the purpose of this invention is to provide a three-layer artificial intelligence detection system that can perform layered processing, management and execution of detection data and related programs, thereby reducing the failure rate and improving data processing efficiency.

[0007] To achieve the above objectives, the present invention provides a three-layer artificial intelligence detection system, comprising at least one sensor, one gateway, and one server platform. The sensor is used to sense a device and obtain its sensing signal data. The sensor includes a first artificial intelligence module and a first communication module. The first artificial intelligence module is used to perform any one of the following: processing the sensing signal data, basic judgment of the sensing signal data, and OTA operation. The gateway includes a second artificial intelligence module and a second communication module. The second artificial intelligence module is used to perform any one of the following: collecting the sensing signal data, cleaning the sensing signal data, advanced judgment of the sensing signal data, and OTA management. The gateway communicates with the first communication module through the second communication module. The server platform includes a third artificial intelligence module, a data storage management module, and a third communication module. The third artificial intelligence module and the data storage management module are used to perform any one of the following: big data collection, trend analysis, device management, customer management, and OTA recording. The server platform communicates with the second communication module through the third communication module.

[0008] This invention uses multi-layered artificial intelligence technology to process, manage, and execute the received detection data and related programs in a hierarchical manner.

[0009] It has at least the following advantages:

[0010] 1) Distributed hierarchical processing.

[0011] 2) High efficiency.

[0012] 3) Fast speed.

[0013] 4) Low cost.

[0014] 5) Easy to develop.

[0015] 6) It can continuously and automatically learn and update artificial intelligence models.

[0016] 7) It can process large amounts of data in real time.

[0017] Based on the aforementioned advantages, and to further enhance understanding of the present invention, preferred embodiments are provided below. The composition and effects of the present invention are described in detail below with reference to drawings and reference numerals. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the three-layer artificial intelligence detection system of the present invention; and

[0019] Figure 2 This is a block diagram of the architecture of the three-layer artificial intelligence detection system of the present invention.

[0020] Explanation of reference numerals in the attached figures: 10-Sensor; 11-First artificial intelligence module; 12-First communication module; 20-Gateway; 21-Second artificial intelligence module; 22-Second communication module; 30-Servo platform; 31-Third artificial intelligence module; 32-Data storage and management module; 33-Third communication module; 40-Equipment; 50-Abnormal alarm system; 60-Exchanger. Detailed Implementation

[0021] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Furthermore, the present invention can also be implemented or applied through other different specific embodiments, with various modifications and changes made without departing from the spirit of the present invention.

[0022] Please see Figure 1 This is a schematic diagram of the three-layer artificial intelligence detection system of the present invention; Figure 2 This is a block diagram of the architecture of the three-layer artificial intelligence detection system of the present invention.

[0023] like Figure 1 , Figure 2 As shown, the present invention provides a three-layer artificial intelligence detection system, comprising at least one sensor 10, one gateway 20, and one servo platform 30, which will be described in detail below.

[0024] The sensor 10 is used to sense a device 40 and obtain the sensing signal data of the device 40. The sensor 10 includes a first artificial intelligence module 11 and a first communication module 12. The first artificial intelligence module 11 is used to perform any one of the following: processing the sensing signal data, basic judgment of the sensing signal data, and operation of OTA (Over-the-Air).

[0025] The first artificial intelligence module 11 performs the processing of the sensed signal data, including:

[0026] 1. Data rationalization: If abnormal or unreasonable values ​​appear in the sensing signal data, such as when the high and low values ​​in a region are mostly within a certain range, and a value that is significantly higher or lower than that range suddenly appears, or a region with no sensing value data suddenly appears, and it is determined that there is obviously erroneous sensing value data, then the first artificial intelligence module 11 can automatically correct it to rationalize the data.

[0027] 2. Data noise reduction: Remove noise and other disturbances from the sensing signal data.

[0028] In this embodiment, OTA refers to data transmission or online downloading and updating of software via wireless communication technology without the need for a physical connection.

[0029] The gateway 20 includes a second artificial intelligence module 21 and a second communication module 22. The second artificial intelligence module 21 is used to perform any one of the following: collection of sensing signal data, cleaning of sensing signal data, advanced judgment of sensing signal data, and OTA management. The gateway 20 communicates with the first communication module 12 through the second communication module 22.

[0030] The server platform 30 includes a third artificial intelligence module 31, a data storage management module 32, and a third communication module 33. The third artificial intelligence module 31 and the data storage management module 32 are used to perform any one of big data collection, trend analysis, device management, customer management, and OTA recording. The server platform 30 communicates with the second communication module 22 through the third communication module 33.

[0031] In one embodiment of the present invention, the device 40 is any one of a motor, a pump, or a high-voltage electrical device, and the sensing signal data is any one of sound, vibration, electromagnetic waves, or current.

[0032] In one embodiment of the present invention, the gateway 20 is an edge gateway.

[0033] In one embodiment of the present invention, the first communication module 12, the second communication module 22, and the third communication module 33 communicate with each other via wired or wireless means.

[0034] In one embodiment of the present invention, the third communication module 33 and the second communication module 22 communicate with each other via Ethernet, WiFi, Bluetooth, or RF.

[0035] In one embodiment of the present invention, the servo platform 30 is either a cloud server or a local server.

[0036] In one embodiment of the present invention, the gateway 20 is connected to an abnormal alarm system 50, which can issue a warning message when the device 40 is detected to be malfunctioning.

[0037] Accordingly, the control device 40 can be automatically shut down via connection signal control to prevent the device 40 from continuing to operate in an abnormal state.

[0038] In one embodiment of the present invention, a switch 60 is connected between the gateway 20 and the server platform 30 for network bridging.

[0039] The above describes an embodiment of the three-layer artificial intelligence detection system of the present invention. The features and effects of the present invention will then be described below:

[0040] This invention uses multi-layered artificial intelligence technology to process, manage, and execute the received detection data and related programs in a hierarchical manner.

[0041] The sensor 10 of this invention can perform preliminary artificial intelligence data processing at the perception layer through the first artificial intelligence module 11, such as noise reduction of the sensing signal data and basic judgment of the sensing signal data. It can then be applied to the sensing of different devices 40. For example, when the sensor 10 is changed from sensing a motor device to sensing a high-voltage electrical device, the first artificial intelligence module 11 can determine that it has changed from sensing the original sensing device 40 to sensing another device 40 by sensing the difference in the current sensing signal data. It can automatically update via OTA to generate an artificial intelligence sensing model corresponding to the different devices. Therefore, the sensing signal data of different devices 40, such as sound, vibration, electromagnetic waves, and current, can all be applied to this invention.

[0042] One of the advantages of this invention is:

[0043] The device sensing signal data sensed by the sensor 10 of the present invention can be continuously uploaded to the server platform 30 via the gateway 20 for storage, analysis and management.

[0044] When the same device 40 is used and operated for a period of time, or when the device 40 ages, the sensing signal data generated by the device will be different. At this time, the original artificial intelligence sensing model of the sensor 10 is no longer applicable. Therefore, the servo platform 30 of the present invention can immediately determine that the sensing signal data of the device has changed based on the sensing signal data continuously collected over a period of time, and determine that the current artificial intelligence sensing model of the sensor 10 is no longer applicable. Then, the artificial intelligence sensing model of the sensor 10 is automatically updated via OTA to improve the analysis and prediction effect, and thus accurately predict whether the device is aging and about to fail.

[0045] Another advantage of this invention is:

[0046] When several sensors 10 sense devices 40 with the same attributes, such as pumps of the same brand and model, if one of the pumps frequently malfunctions, the fault sensing data is uploaded to the servo platform 30. Since the servo platform 30 of this invention can receive the sensing signal data of all devices 40, and store, analyze, and manage this data, even if other devices are not malfunctioning but are devices with the same attributes, the servo platform 30 can also provide better and newer artificial intelligence sensing models to these non-malfunctioning devices based on the originally stored fault sensing data, thereby improving the analysis and prediction effect.

[0047] To further explain, gateway 20 can be configured across borders and regions. If one gateway 20 is in Taiwan and another gateway 20 is in the United States, as previously mentioned, when the device 40 in Taiwan fails, the server platform 30 can provide better and newer artificial intelligence sensing models to the devices in the United States that are not experiencing failures, based on the stored fault sensing data of the device 40 in Taiwan. In other words, this invention can collect and analyze big data through the server platform 30. If devices 40 located in Taiwan, the United States, Japan, Europe, etc., experience different or multiple fault conditions, the fault sensing data of these devices in different regions can be uploaded to the server platform 30 through gateway 20 for unified collection, analysis, and prediction. Then, through OTA, the better and newer artificial intelligence sensing models of various fault conditions of the devices can be provided to all gateways 20 and sensors 10 to improve the analysis and prediction effect.

[0048] Another advantage of this invention is:

[0049] Sensor 10 transmits sensing signals to gateway 20, which can perform advanced artificial intelligence data processing at the network layer via the second artificial intelligence module 21.

[0050] Gateway 20 can transmit the sensing signal data of sensor 10 to servo platform 30. When servo platform 30 has a better and newer artificial intelligence sensing model, it can be transmitted to the appropriate and required sensor 10 via OTA after judgment by gateway 20. Gateway 20 can also monitor whether the artificial intelligence sensing model transmitted to sensor 10 has been updated completely and successfully.

[0051] In addition to performing OTA management, gateway 20 can store sensing signal data and transmit the sensing signal data to servo platform 30. Servo platform 30 has the sensing signal data of all sensors 10. If data is lost or damaged in the event of data loss or damage to servo platform 30, gateway 20 can be used to retransmit the sensing signal data to servo platform 30, so that servo platform 30 can regain the sensing signal data.

[0052] The servo platform 30 can connect to multiple gateways 20 to receive data transmitted from the gateways 20. The gateways 20 can be cross-border or cross-regional, and each gateway 20 can also connect to multiple sensors 10. Therefore, the servo platform 30 can receive data transmitted from multiple gateways 20 and multiple sensors 10 to perform big data collection and trend analysis reports on these detection data via the third artificial intelligence module 31. It can also provide customized equipment management and customer management according to customer needs and levels, such as subscription or membership. In other words, the artificial intelligence model of the gateways 20 and multiple sensors 10 can be continuously updated as needed via OTA. Thus, this invention can improve the efficiency of equipment management and provide better equipment testing services for customers.

[0053] Overall, it has at least the following advantages:

[0054] 1) Distributed hierarchical processing.

[0055] 2) High efficiency.

[0056] 3) Fast speed.

[0057] 4) Low cost.

[0058] 5) Easy to develop.

[0059] 6) It can continuously and automatically learn and update artificial intelligence models.

[0060] 7) It can process large amounts of data in real time.

[0061] The above embodiments are merely illustrative examples for ease of explanation. The scope of the claims of this invention should be determined by the claims themselves, and not limited to the above embodiments.

Claims

1. A three-tiered artificial intelligence detection system, characterized in that, Include: At least one sensor is used to sense a device and obtain sensing signal data of the device. The sensor includes a first artificial intelligence module and a first communication module. The first artificial intelligence module is used to perform any one of the following: processing of sensing signal data, basic judgment of sensing signal data, and operation of OTA. A gateway includes a second artificial intelligence module and a second communication module. The second artificial intelligence module is used to perform any one of the following: collection of sensing signal data, cleaning of sensing signal data, advanced judgment of sensing signal data, and OTA management. The gateway communicates with the first communication module through the second communication module. A server platform includes a third artificial intelligence module, a data storage and management module, and a third communication module. The third artificial intelligence module and the data storage and management module are used to perform any one of the following: big data collection, trend analysis, device management, customer management, and OTA recording. The server platform communicates and connects with the second communication module through the third communication module.

2. The three-tiered artificial intelligence detection system of claim 1, wherein, The device is any one of a motor, pump, or high-voltage electrical equipment, and the sensed signal data is any one of sound, vibration, electromagnetic waves, or current.

3. The three-tiered artificial intelligence detection system of claim 1, wherein, This gateway is an edge gateway.

4. The three-tiered artificial intelligence detection system of claim 1, wherein, The first communication module, the second communication module, and the third communication module communicate with each other via wired or wireless means.

5. The three-tiered artificial intelligence detection system of claim 1, wherein, The third communication module communicates with the second communication module via Ethernet, WiFi, Bluetooth, or RF.

6. The three-tiered artificial intelligence detection system of claim 1, wherein, The server platform can be either a cloud server or a local server.

7. The three-tiered artificial intelligence detection system of claim 1, wherein, The gateway is connected to an anomaly alarm system, which issues a warning message when abnormal device operation is detected.

8. The three-tiered artificial intelligence detection system of claim 1, wherein, A switch is connected between the gateway and the server platform for network bridging.

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