TWI858717B - Data center interactive dialogue digital 3d virtual intelligent assistant system based on pbc - Google Patents

Abstract

A data center interactive dialogue digital 3D virtual intelligent assistant system based on PBC is provided. The system includes a metaverse-3D-virtual-scene-and-character-component, a real-time-voice-and-text-dialogue-component, and a generative-AI-model-and-optimization-component. The real-time-voice-and-text-dialogue-component receives an input voice data associated with a data center, wherein the input voice data corresponds to an input text data; the metaverse-3D-virtual-scene-and-character-component outputs an output voice data corresponding to an output text data; wherein the PBC is implemented based on a micro-front-end technology; the metaverse-3D-virtual-scene-and-character-component is implemented based on a WebGL 3D technology; the generative-AI-model-and-optimization-component uses a deep learning technology to learn a data-center-domain-knowledge, a data-center-maintenance-information and an enterprise-cloud-product-marketing-information associated with the data center.

Description

PBC-based data center interactive dialogue digital 3D virtual intelligent assistant system

The present invention relates to a data center interactive dialogue digital 3D virtual intelligent assistant system based on PBC (Packaged Business Capabilities).

As enterprises face digital transformation, the workload of R&D/maintenance personnel in enterprises (such as telecommunications companies) is also increasing. How to reduce the burden of R&D/maintenance personnel and thus reduce the probability of human error by R&D/maintenance personnel is one of the goals that technical personnel in this field should strive for.

On the other hand, when a company's customers want to know the latest information about the company's products, they usually need to consult with customer service staff to obtain the latest information. This approach is less efficient.

In order to solve the above-mentioned problems of the prior art, the present invention proposes a data center interactive dialogue digital 3D virtual intelligent assistant system based on PBC (Packaged Business Capabilities). The PBC-based data center interactive dialogue digital 3D virtual intelligent assistant system of the present invention includes a Metaverse 3D virtual scene and character component, a real-time voice and text dialogue component, and a generative AI model and optimization component, wherein the real-time voice and text dialogue component receives input voice data related to a data center (Internet Data Center, IDC), wherein the input voice data corresponds to input text data; the generative AI model and optimization component uses the input text data to obtain output text data related to the data center; the Metaverse 3D virtual scene and character component outputs output voice data corresponding to the output text data, wherein PBC is implemented based on micro-frontend technology, wherein the Metaverse 3D virtual scene and character component is based on WebGL 3D technology is used to implement the generative AI model and optimization components, in which deep learning technology is used to learn data center domain knowledge related to the data center, data center maintenance information, and enterprise cloud product marketing information.

11: Data center interactive dialogue digital 3D virtual intelligent assistant system

100: Metaverse 3D virtual scene and character components

200: Real-time voice and text dialogue component

300: Speech-to-text conversion component

400:Generative AI models and optimization components

12: Data Center Virtual Reality

14: Resource Management

15: Resource supply

16: Resource monitoring

FIG1 is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system based on PBC (Packaged Business Capabilities) according to an embodiment of the present invention.

FIG2A is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system and PBC according to an embodiment of the present invention.

FIG2B is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system and PBC according to another embodiment of the present invention.

FIG3A is a schematic diagram showing the operation of a generative AI model and an optimization component according to an embodiment of the present invention.

FIG3B is a schematic diagram of a generative AI model and an optimization element in an optimization element according to an embodiment of the present invention.

FIG1 is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system 11 based on PBC (Packaged Business Capabilities) according to an embodiment of the present invention. In this embodiment, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 may include a metaverse 3D virtual scene and character component 100, a real-time voice and text dialogue component 200, and a generative AI model and optimization component 400. In other embodiments, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 may also include a voice-to-text conversion component 300.

In this embodiment, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 may include a transceiver (not shown in the figure), a storage medium (not shown in the figure), an input and output device (not shown in the figure), and a processor (not shown in the figure).

In one embodiment, the metaverse 3D virtual scene and character component 100, the real-time voice and text dialogue component 200, the voice-to-text conversion component 300, and the generative AI model and optimization component 400 may be software and/or firmware code executed by a processor, but the present invention is not limited thereto.

In this embodiment, the real-time voice and text dialogue component 200 can receive input voice data associated with an Internet Data Center (IDC), wherein the input voice data corresponds to input text data. Specifically, the data center is, for example, set up in a telecommunications company. The R&D/maintenance personnel of the telecommunications company can operate the input and output device (not shown in the figure) of the interactive digital 3D virtual intelligent assistant system 11 of the data center to provide the input voice data to the interactive digital 3D virtual intelligent assistant system 11 of the data center. The input and output device is, for example, a text interface, a microphone, or a voice button. In this way, the R&D/maintenance personnel of the telecommunications company can conduct a real-time voice conversation with the interactive digital 3D virtual intelligent assistant system 11 of the data center. For example, R&D/maintenance personnel of a telecommunications company can use this real-time voice conversation to inquire about the data center's technology, maintenance or sales information from the data center's interactive digital 3D virtual intelligent assistant system 11.

Next, the speech-to-text conversion component 300 can convert the input voice data into input text data based on the Neural Text-to-Speech technology. In detail, in the data-centric interactive digital 3D virtual intelligent assistant system 11, the speech-to-text conversion component 300 can play the role of data transfer between the real-time voice and text dialogue component 200 and the generative AI model and optimization component 400. After the speech-to-text conversion component 300 converts the input text data, the speech-to-text conversion component 300 can provide the input text data to the generative AI model and optimization component 400.

Next, the generative AI model and optimization element 400 can use the input text data to obtain output text data related to the data center. In detail, the generative AI model and optimization element 400 may include a generative AI model and an optimization element. The generative AI model and optimization element 400 can use the input text data to communicate with the generative AI model to obtain output text data related to the data center. In other words, the output text data is the data that the interactive digital 3D virtual intelligent assistant system 11 of the data center will reply to the R&D/maintenance personnel in the real-time voice conversation.

Then, the speech-to-text conversion component 300 can convert the output text data into output speech data based on Neural Text-to-Speech technology, Automatic Speech Recognition technology, and deep learning technology.

Then, the Metaverse 3D virtual scene and character component 100 can output the output voice data corresponding to the output text data. In detail, the Metaverse 3D virtual scene and character component 100 can output/play the output voice data through the input and output device (not shown in the figure) of the data center interactive dialogue digital 3D virtual intelligent assistant system 11. In this embodiment, the Metaverse 3D virtual scene and character component 100 is implemented based on WebGL 3D technology. In other words, the Metaverse 3D virtual scene and character component 100 can construct digital virtual scenes and characters based on WebGL 3D technology and Metaverse technology. Specifically, due to the advantages of WebGL 3D technology such as native development and cross-platform deployment, the R&D/maintenance personnel of telecommunications companies can use any computer device, mobile communication device, VR wearable device and other equipment to conduct real-time voice conversations with the data center's interactive digital 3D virtual intelligent assistant system 11.

In this embodiment, the above-mentioned PBC is implemented based on micro-frontend technology. It is worth mentioning that the software of PBC is defined as a minimized business function, focusing on solving specific business problems, and has lightweight characteristics. Furthermore, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 can be constructed based on the cloud-native architecture of micro-frontend technology and microservices. The functions of each component of the data center interactive dialogue digital 3D virtual intelligent assistant system 11 adopt a loose coupling (Loose coupling) and high cohesion (High cohesion) design, so that each component of the data center interactive dialogue digital 3D virtual intelligent assistant system 11 can be independently upgraded, expanded/removed, and dynamically replaced to meet the purpose of agile development. Since the data center interactive dialogue digital 3D virtual intelligent assistant system 11 adopts the PBC design, the module system development is the component development, and each business module is independent as a PBC micro-front-end component (including the data architecture, API and Event Channel functions of each back-end microservice), forming a set of highly cohesive business encapsulation components. Based on this, through the assembly of each PBC business component, it can be combined/stacked like building blocks to construct a more complete function. Therefore, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 has the characteristics of loose coupling, and the component modules can have minimal dependence, ensuring that the composition of the data center interactive dialogue digital 3D virtual intelligent assistant system 11 is highly flexible.

FIG. 2A is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system 11 and a PBC according to an embodiment of the present invention. FIG. 2B is a schematic diagram of a data center interactive dialogue digital 3D virtual intelligent assistant system 11 and a PBC according to another embodiment of the present invention. Please refer to FIG. 1 , FIG. 2A , and FIG. 2B at the same time. As described in the above embodiments, the data center interactive dialogue digital 3D virtual intelligent assistant system 11 can be combined (assembled and stacked) with other business components in the data center based on PBC. As shown in FIG. 2A and FIG. 2B , the data center interactive dialogue digital 3D virtual intelligent assistant system 11 can be combined/stacked with the data center virtual reality 12, the data center virtual object library 13, the resource management 14, the resource supply 15, and the resource monitoring 16 based on PBC. Based on this, a data center interactive dialogue digital 3D virtual intelligent assistant system 11 that can provide data center domain knowledge, data center maintenance information, and enterprise cloud product marketing information can be constructed. In other words, the R&D/maintenance personnel of the telecommunications company can quickly obtain answers through real-time voice conversations with the data center interactive dialogue digital 3D virtual intelligent assistant system 11, thereby greatly improving the work efficiency of the R&D/maintenance personnel. On the other hand, customers of telecommunications companies can also learn about the latest product information of the data center through real-time voice conversation with the data center interactive digital 3D virtual intelligent assistant system 11, and can use the data center interactive digital 3D virtual intelligent assistant system 11 to perform resource management 14, resource provision 15, and resource monitoring 16 in the telecommunications company's cloud environment. For example, customers of telecommunications companies can use the data center interactive digital 3D virtual intelligent assistant system 11 to complete the operation of the telecommunications company's enterprise-related platform and the application and inquiry of business services.

In this embodiment, the generative AI model and optimization component 400 can use deep learning technology to learn data center domain knowledge related to the data center, data center maintenance information, and enterprise cloud product marketing information. The following will continue to explain.

FIG3A is a schematic diagram of the operation of a generative AI model and an optimization element 400 according to an embodiment of the present invention. As shown in FIG3A , the generative AI model and the optimization element 400 can extract knowledge from data center domain knowledge, data center maintenance information, and enterprise cloud product marketing information using a dynamic learning mechanism (deep learning technology). In detail, the data center domain knowledge, data center maintenance information, and enterprise cloud product marketing information can be document information and/or web page information. In one embodiment, the data center domain knowledge may include containers, container application management systems (Kubernetes), and cloud native, and the data center maintenance information may include off-site backup information and virtual machine migration information.

FIG3B is a schematic diagram of an optimization element in a generative AI model and optimization element 400 according to an embodiment of the present invention. As shown in FIG3B , the optimization element in the generative AI model and optimization element 400 is constructed based on a model service, a document and knowledge storage service, an on-premise AI service, and an off-premise AI service. Specifically, the model service and the document and knowledge storage service can be run on AKS (Azure Kubernetes Service). On the other hand, the on-premise AI service and the off-premise AI service can be run on GKE (Google Kubernetes Engine). Based on this architecture, the generative AI model and the generative AI model in the optimization element 400 can be continuously optimized.

In summary, the PBC-based data center interactive digital 3D virtual intelligent assistant system of the present invention can meet the purpose of agile development based on loose coupling and high cohesion design. Furthermore, digital virtual scenes and characters can be constructed based on WebGL 3D technology to facilitate operation on devices such as computer devices, mobile communication devices, and VR wearable devices. In this way, the R&D/maintenance personnel of telecommunications companies can quickly obtain answers about data center domain knowledge, data center maintenance information, and enterprise cloud product marketing information through real-time voice conversations with the data center interactive digital 3D virtual intelligent assistant system of the present invention. On the other hand, customers of telecommunications companies can also learn about the latest product information of the data center through real-time voice conversation with the data center interactive digital 3D virtual intelligent assistant system of the present invention, and perform resource management, resource provisioning and resource monitoring in the cloud environment of the telecommunications company. Based on this, the user experience and the service efficiency of the telecommunications company can be greatly improved.

11: Data center interactive dialogue digital 3D virtual intelligent assistant system

100: Metaverse 3D virtual scene and character components

200: Real-time voice and text dialogue component

300: Speech-to-text conversion component

400:Generative AI models and optimization components

Claims (4)

A PBC (Packaged Business Capabilities)-based data center interactive dialogue digital 3D virtual intelligent assistant system, comprising: a metaverse 3D virtual scene and character components; a real-time voice and text dialogue component; and a generative AI model and optimization component, wherein the real-time voice and text dialogue component receives information related to a data center (Internet Data Center, IDC) input voice data, wherein the input voice data corresponds to input text data; the generative AI model and optimization component uses the input text data to obtain output text data related to the data center; the Metaverse 3D virtual scene and character component outputs output voice data corresponding to the output text data; wherein the PBC is implemented based on micro-frontend technology, wherein the micro-frontend technology uses loose coupling design and high cohesion design to construct the Metaverse 3D virtual scene and character component, the real-time voice and text dialogue component, and the generative AI model and optimization component; wherein the Metaverse 3D virtual scene and character component is based on WebGL 3D technology is used to implement; wherein the generative AI model and optimization component utilize deep learning technology to learn data center domain knowledge, data center maintenance information, and enterprise cloud product marketing information related to the data center, wherein the generative AI model and optimization component include a generative AI model and an optimization component, wherein the optimization component is constructed based on a model service (Model Service), a document and knowledge warehousing service, an on-premise AI service, and an off-premise AI service. The data-centric interactive digital 3D virtual intelligent assistant system based on PBC as described in claim 1 further includes a speech-to-text conversion element, wherein the speech-to-text conversion element converts the input speech data into the input text data based on the Neural Text-to-Speech technology; the speech-to-text conversion element converts the output text data into the output speech data based on the Neural Text-to-Speech technology, the Automatic Speech Recognition technology, and the deep learning technology. The PBC-based data center interactive dialogue digital 3D virtual intelligent assistant system as described in claim 1, wherein the data center domain knowledge includes containers, container application management system (Kubernetes) and cloud native (Cloud Native), and the data center maintenance information includes off-site backup information and virtual machine migration information. As described in claim 1, the PBC-based data center interactive digital 3D virtual intelligent assistant system, wherein the generative AI model and optimization component utilize a dynamic learning mechanism to extract knowledge from the data center domain knowledge, the data center maintenance information, and the enterprise cloud product marketing information.

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