3-layer artificial intelligence detection system

Abstract

This system provides a three-layer artificial intelligence detection system that processes, manages, and executes detection data and related programs within each layer, thereby reducing the failure rate and improving data processing capabilities. [Solution] The three-layer artificial intelligence detection system comprises at least one sensor 10, a gateway 20, and a server platform 30. The sensor senses the device 40 and obtains perceptual signal data of the device, and also includes a first artificial intelligence module 11 and a first communication module 12. The first artificial intelligence module performs one of the following: processing of perceptual signal data, basic judgment of perceptual signal data, or OTA. The gateway includes a second artificial intelligence module 21 and a second communication module 22. The gateway communicates with the first communication module via the second communication module.

Description

Technical Field

[0001] The present invention relates to a detection system, and in particular, to a three-layer artificial intelligence detection system (Three-Layer Artificial Intelligence Detection System) that processes, manages, and executes detection data and related programs in a layer, processes a large amount of data in real time and synchronously, and enhances data processing capabilities.

Background Art

[0002] The smart network technology of AIoT (Artificial Intelligence of Things) introduces an artificial intelligence (Artificial Intelligence: AI) system into IoT (Internet of Things), applies the technology of conventional IoT, and tightly connects multiple devices. For example, common automation, remote control, and the function of connecting devices are all included in the application scope of IoT.

[0003] As the smart network technology of AIoT gradually develops and matures, currently, the innovative use of AIoT smart networks is gradually increasing in the industrial and daily life fields. Since AIoT has the ability to learn from external data, make predictions, analyze, and make judgments and decisions, it constantly evolves through data accumulation and provides customized services.

[0004] Conventionally, the smart network technology of AIoT has been applied to a device detection system, and its structure includes a perception layer, a network layer, an application layer, etc. The perception layer is applied to sensors, etc., and the perception signal data of the device can be obtained at any time and anywhere. The network layer uses a gateway to transmit the perception signal data through mediation and obtain the function of sending commands, accurately transmitting the information of the device. The application layer uses a server to store, analyze, and reuse data, improve management efficiency, and provide better services.

[0005] While the conventional device detection systems described above could collect large amounts of data from devices, improving analysis and prediction effectiveness, predicting device failures, and reducing the negative impact of failures on maintenance, they generally relied on servers for the analysis and processing of the large amounts of collected big data and messages, and for smart control of the devices. As a result, receiving, processing, and controlling the data placed a significant burden on the servers, which sometimes reduced the efficiency and speed of the overall data processing system. [Overview of the Initiative] [Problems that the invention aims to solve]

[0006] The object of the present invention is to provide a three-layer artificial intelligence detection system that processes, manages, and executes detection data and related programs in the layers, thereby reducing the failure rate and improving data processing capabilities. [Means for solving the problem]

[0007] To achieve the above objective, the three-layer artificial intelligence detection system according to claim 1 is a three-layer artificial intelligence detection system comprising at least one sensor, a gateway, and a server platform, The sensor senses the device and obtains perceptual signal data of the device, and includes a first artificial intelligence module and a first communication module, the first artificial intelligence module performs one of the following: processing the perceptual signal data, basic judgment of the perceptual signal data, or OTA (Over-the-Air); the gateway includes a second artificial intelligence module and a second communication module, the second artificial intelligence module performs one of the following: collection of the perceptual signal data, cleaning of the perceptual signal data, high-level judgment of the perceptual signal data, or OTA management; the gateway communicates with the first communication module via 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 perform one of the following: collection of big data, trend analysis, device management, customer management, or OTA recording; and the server platform communicates with the second communication module via the third communication module.

[0008] The three-layer artificial intelligence detection system according to claim 2 is characterized in that the device is one of a motor, a pump, or a high-voltage electrical device, and the perceptual signal data is one of sound, vibration, electromagnetic wave, or electric current.

[0009] The three-layer artificial intelligence detection system according to claim 3 is characterized in that the gateway is an edge gateway.

[0010] The three-layer artificial intelligence detection system according to claim 4 is characterized in that the first communication module, the second communication module, and the third communication module communicate with each other via a wired or wireless method.

[0011] The three-layer artificial intelligence detection system according to claim 5 is characterized in that the third communication module and the second communication module communicate with each other via Ethernet®, WiFi®, Bluetooth®, or RF (Radio Frequency).

[0012] The three-layer artificial intelligence detection system according to claim 6 is characterized in that the server platform is a cloud server or a local server.

[0013] The three-layer artificial intelligence detection system according to claim 7 is characterized in that the gateway is connected to an abnormal alarm system and issues a warning message when an abnormality occurs in the operation of the device.

[0014] The three-layer artificial intelligence detection system according to claim 8 is characterized in that the gateway and the server platform are connected via a switch to form a network bridge. [Effects of the Invention]

[0015] The three-layer artificial intelligence detection system according to the present invention has the following effects (1) to (7). (1) Distributed layer processing. (2) High efficiency. (3) High speed. (4) Low cost. (5) Easy development. (6) Continuous automated learning and updating of artificial intelligence models. (7) It can process large amounts of data in real time and simultaneously. [Brief explanation of the drawing]

[0016] [Figure 1] This is a schematic diagram showing a three-layer artificial intelligence detection system according to one embodiment of the present invention. [Figure 2]It is a block diagram showing a three-layer artificial intelligence detection system according to an embodiment of the present invention.

Embodiments for Carrying out the Invention

[0017] Regarding the three-layer artificial intelligence detection system according to the present invention, in order for those skilled in the art to fully understand the object, features and effects of the present invention, appropriate embodiments are listed below, and together with the accompanying drawings, the technical content of the present invention will be described in detail.

[0018] Refer to FIGS. 1 and 2. FIG. 1 is a schematic diagram showing a three-layer artificial intelligence detection system according to an embodiment of the present invention. FIG. 2 is a block diagram showing a three-layer artificial intelligence detection system according to an embodiment of the present invention.

[0019] As shown in FIGS. 1 and 2, the three-layer artificial intelligence detection system according to an embodiment of the present invention includes a sensor 10, a gateway 20, and a server platform 30, which will be described in detail below.

[0020] The sensor 10 detects the device 40 and obtains 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 performs any one of processing of sensing signal data, basic judgment of sensing signal data, and OTA (Over-the-Air).

[0021] The processing of the sensing signal data performed by the first artificial intelligence module 11 includes the following (1) and (2). (1) Rationalization of data: When abnormal or unreasonable numerical values appear in the sensing signal data, for example, when most of the high and low changes of the numerical values in the region are within a certain range, or when a particularly high or low numerical value suddenly appears outside the range, or when a region where there is no sensed numerical data suddenly appears, it is determined that incorrect sensed numerical data has appeared, and the first artificial intelligence module 11 automatically performs correction and rationalizes the data. (2) Data noise reduction: Removing noise in the perceptual signal data.

[0022] The OTA of this embodiment does not necessarily need to use a physical connection, and data transfer or software download and update may be performed by wireless communication technology.

[0023] The gateway 20 includes a second artificial intelligence module 21 and a second communication module 22. The second artificial intelligence module 21 executes any one of collection of perceptual signal data, cleaning of perceptual signal data, advanced judgment of perceptual signal data, and OTA management. The gateway 20 performs communication connection and communication with the first communication module 12 via the second communication module 22.

[0024] 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 execute any one of collection of big data, trend analysis, device management, customer management, and OTA record. The server platform 30 performs communication connection and communication with the second communication module 22 via the third communication module 33.

[0025] In an embodiment of the present invention, the device 40 is any one of a motor, a pump, and a high-voltage electrical device, and the perceptual signal data is any one of voice, vibration, electromagnetic wave, and current.

[0026] In an embodiment of the present invention, the gateway 20 is an edge gateway.

[0027] In an embodiment of the present invention, the first communication module 12, the second communication module 22, and the third communication module 33 perform communication connection and communication with each other via a wired or wireless method.

[0028] 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 (Radio Frequency).

[0029] In one embodiment of the present invention, the server platform 30 is either a cloud server or a local server.

[0030] In one embodiment of the present invention, the gateway 20 is connected to an abnormal alarm system 50 and issues a warning message when an abnormality occurs in the operation of the device 40.

[0031] The device 40 is controlled via a communication signal and instructed to automatically shut down, preventing it from continuing to operate in an abnormal state.

[0032] In one embodiment of the present invention, the gateway 20 and the server platform 30 are connected via a switch 60 to form a network bridge.

[0033] The embodiments of the three-layer artificial intelligence detection system according to the present invention have been introduced above. Next, the features and functions of the present invention will be introduced below.

[0034] This invention uses a multi-layer artificial intelligence technology to process, manage, and execute received detection data and related programs within the layers.

[0035] The sensor 10 according to the present invention may perform initial artificial intelligence data processing (e.g., noise reduction of perceptual signal data, basic judgment of perceptual signal data, etc.) in the perception layer via the first artificial intelligence module 11 and apply it to sensing different devices 40. For example, when the sensing motor device originally possessed by the sensor 10 is replaced with a sensing high-voltage device, the first artificial intelligence module 11 detects the difference in the current perceptual signal data, determines that the originally sensing device 40 has been changed to a different device 40, automatically updates via OTA, and generates an artificial intelligence sensing model corresponding to the different device. Therefore, perceptual signal data of different devices 40, such as sound, vibration, electromagnetic waves, and electric current, can be applied to the present invention.

[0036] One of the effects of the present invention is as follows:

[0037] The sensor 10 according to the present invention continuously uploads the device perception signal data to the server platform 30 via the gateway 20 for data storage, analysis, and management.

[0038] When using a similar device 40, if it is operated for a certain period of time, or if the device 40 deteriorates, differences will occur in the perceptual signal data generated by the device, and at this time the artificial intelligence sensing model that the sensor 10 originally possessed will no longer be applicable. Therefore, the server platform 30 according to the present invention immediately determines that there is a difference in the perceptual signal data of the device based on the perceptual signal data continuously collected within a certain period of time, determines that the current artificial intelligence sensing model of the sensor 10 is no longer applicable, and automatically updates the artificial intelligence sensing model of the sensor 10 via OTA, thereby improving the effectiveness of analysis and prediction, and enabling accurate prediction of whether the device will deteriorate and fail.

[0039] Another effect of the present invention is as follows:

[0040] If multiple sensors 10 each detect devices 40 with the same attributes, for example, if the devices 40 are pumps of the same manufacturer and model, one of the pump devices may frequently fail, upload the failure detection data to the server platform 30, and the server platform 30 according to the present invention receives the perception signal data of all devices 40, and stores, analyzes, and manages this data. The other devices are not failing, but are devices with the same attributes, so the server platform 30 can also assign a suitable new artificial intelligence sensing model to these failed devices based on the failure detection data that has been stored, thereby improving the effectiveness of analysis and prediction.

[0041] Furthermore, the gateways 20 may be deployed across countries and regions. For example, if one of the gateways 20 is in Taiwan and the other gateway 20 is in the United States, as described above, when the device 40 in Taiwan fails, the server platform 30 provides a suitable new artificial intelligence sensing model for these non-failed devices in the United States based on the stored failure sensing data for the Taiwanese device 40. In other words, the present invention uses the server platform 30 to collect and analyze big data. If different or multiple types of failures occur in the devices 40 located in countries and regions such as Taiwan, the United States, Japan, and Europe, the gateways 20 may upload the failure sensing data for the devices in different countries to the server platform 30, collect, analyze, and predict it in a unified manner, and provide a suitable new artificial intelligence sensing model for various failure situations of the devices to all gateways 20 and sensors 10 via OTA to enhance the effectiveness of analysis and prediction.

[0042] Further effects of the present invention are as follows:

[0043] Sensor 10 transmits a perceptual signal to gateway 20. Gateway 20 may perform high-level artificial intelligence data processing at the network layer via a second artificial intelligence module 21.

[0044] The gateway 20 may transmit the sensor signal data from the sensor 10 to the server platform 30. If the server platform 30 already has a suitable new artificial intelligence sensing model, the gateway 20 determines this, and the OTA assigns, adapts, and transmits it to the required sensor 10. The gateway 20 monitors whether the artificial intelligence sensing model transmitted to the sensor 10 has already been successfully updated.

[0045] In addition to performing OTA management, the gateway 20 also stores perceptual signal data and transmits it to the server platform 30. The server platform 30 holds the perceptual signal data for all sensors 10. If data is lost or damaged on the server platform 30, the gateway 20 is used again to transmit new perceptual signal data to the server platform 30, and the server platform 30 obtains new perceptual signal data.

[0046] The server platform 30 establishes information connections with multiple gateways 20 and receives data sent from the gateways 20. The gateways 20 may be located across countries and regions, and each gateway 20 may be connected to multiple sensors 10. Therefore, the server platform 30 receives data transmitted from the multiple gateways 20 and the multiple sensors 10, performs big data collection, and the third artificial intelligence module 31 performs trend analysis and reporting on multiple detection data, while also providing customized device management and customer management according to customer needs, subscription-based systems, membership-based systems, etc. Specifically, the artificial intelligence model is continuously updated as needed for the gateways 20 and the multiple sensors 10 via OTA, and the present invention can provide customers with favorable device management effects and better device detection services.

[0047] As can be seen from the above, the three-layer artificial intelligence detection system according to the present invention has the following advantages (1) to (7). (1) Distributed layer processing. (2) High efficiency. (3) High speed. (4) Low cost. (5) Easy development. (6) Continuous automated learning and updating of artificial intelligence models. (7) It can process large amounts of data in real time and simultaneously. [Explanation of Symbols]

[0048] 10 sensors 11. The first artificial intelligence module 12. First communication module 20 Gateways 21. Second Artificial Intelligence Module 22 Second communication module 30 Server Platforms 31. The Third Artificial Intelligence Module 32 Data Storage Management Modules 33 Third communication module 40 equipment 50 Anomaly Alarm System 60 switches

Claims

1. A three-layer artificial intelligence detection system comprising at least one sensor, a gateway, and a server platform, The sensor senses the device and obtains perceptual signal data of the device, and includes a first artificial intelligence module and a first communication module, the first artificial intelligence module performs one of the following: processing the perceptual signal data, making a basic judgment on the perceptual signal data, or performing OTA (Over-the-Air) communication. The gateway includes a second artificial intelligence module and a second communication module, the second artificial intelligence module performs one of the following: collection of perceptual signal data, cleaning of perceptual signal data, high-level judgment of perceptual signal data, and OTA management, and the gateway communicates with the first communication module via the second communication module. The server platform comprises a third artificial intelligence module, a data storage and management module, and a third communication module, wherein the third artificial intelligence module and the data storage and management module perform one of the following: big data collection, trend analysis, device management, customer management, and OTA recording, and the server platform communicates with the second communication module via the third communication module, characterized in that it is a three-layer artificial intelligence detection system.

2. The aforementioned device is one of the following: a motor, a pump, or a high-voltage electrical device. The three-layer artificial intelligence detection system according to claim 1, characterized in that the aforementioned perceptual signal data is one of the following: sound, vibration, electromagnetic wave, or electric current.

3. The three-layer artificial intelligence detection system according to claim 1, characterized in that the gateway is an edge gateway.

4. The three-layer artificial intelligence detection system according to claim 1, characterized in that the first communication module, the second communication module, and the third communication module communicate with each other via a wired or wireless method.

5. The three-layer artificial intelligence detection system according to claim 1, characterized in that the third communication module and the second communication module communicate with each other via Ethernet®, WiFi®, Bluetooth®, or RF (Radio Frequency).

6. The three-layer artificial intelligence detection system according to claim 1, characterized in that the server platform is a cloud server or a local server.

7. The three-layer artificial intelligence detection system according to claim 1, characterized in that the gateway is connected to an abnormality alarm system and issues a warning message when an abnormality occurs in the operation of the device.

8. The three-layer artificial intelligence detection system according to claim 1, characterized in that the gateway and the server platform are connected via a switch to form a network bridge.

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