CN114124947A - IT and OT fused lightweight autonomous edge intelligent all-in-one machine - Google Patents
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Abstract
The utility model provides a lightweight autonomous edge intelligence all-in-one of IT and OT integration, realizes data acquisition, data analysis and data application's full link service and real-time response at the edge side, can independent deployment, independent operation, independent management independently do not rely on cloud platform, supports the real-time intelligent decision-making and the execution of local business better, possesses cloud limit cooperative ability, easily deals with long period big data processing and analysis, also can guarantee the continuous optimization of intelligent model simultaneously.
Description
Technical Field
The invention relates to an IT and OT fused lightweight autonomous edge intelligent all-in-one machine, and belongs to the field of industrial Internet edge calculation.
Background
With the development of technologies such as 5G, artificial intelligence, internet of things and the like and the increase of security and privacy requirements, business scenes of industries such as manufacturing, energy, transportation, medical treatment, security and the like gradually migrate to the edge, and the integration of it (information technology) and ot (operation technology) technologies promotes the development of edge intelligent all-in-one machines and provides possibility for preprocessing industrial data at the edge side. The low-delay and distributed edge micro data processing center becomes a main carrier for real-time supervision, remote operation and edge autonomy.
Most of the existing edge all-in-one machines only have preprocessing capacity, and need to complete services in cooperation with models and computing power provided by a cloud platform, so that the dependence on a network environment is high, and the real-time performance, stability, safety and privacy are poor.
Disclosure of Invention
The technical problem solved by the invention is as follows: aiming at the problems that the traditional edge all-in-one machine only can be preprocessed and has large dependence on a network environment in the prior art, the lightweight autonomous edge intelligent all-in-one machine integrating IT and OT is provided.
The technical scheme for solving the technical problems is as follows:
the utility model provides a lightweight autonomous edge intelligence all-in-one that IT and OT fuse, includes data source layer, data layer, marginal intelligent platform layer, application layer, wherein:
data source layer: the data source is used for data access of the Internet of things equipment, data acquisition, protocol transfer-out and standardized output are carried out through the data acquisition gateway, data interaction and communication between a light-weight autonomous edge intelligent all-in-one machine consisting of a data source layer, a data layer, an edge intelligent platform layer and an application layer and external equipment are realized through a specified communication mode, and data acquisition is carried out through terminal equipment and is supplied to the data source layer for acquisition;
and (3) a data layer: data storage, data processing and data use are carried out on the data acquired by the data source layer;
edge intelligent platform layer: the model k3s is adopted to provide an operation environment and an operation framework, an application program and an algorithm are constructed, developed or customized based on the framework, data analysis is carried out, data uploaded by an edge layer are mined, a remote cloud service platform is not relied on, and the framework is used for carrying a modeling tool and providing an engine service, a development environment, an operation environment, application full life cycle management, a basic edge cloud platform, an algorithm library and a data platform;
an application layer: and performing external data application according to the data processed by the data layer and the edge intelligent platform layer.
The data source is external terminal equipment, including but not limited to camera, PLC, ammeter, water gauge, people's face access control machine, sensor, intelligent production equipment, fire alarm, intelligent terminal, monitoring interface, vehicle management facility, appointed communication mode includes but not limited to 4G, 5G, wifi and ethernet.
And the data layer adopts a MySQL database and a MongoDB database to store, process and use data.
The algorithm library includes, but is not limited to, a deep learning algorithm, a machine learning algorithm, a transfer learning algorithm, and a reinforcement learning algorithm.
The data platform includes but is not limited to data integration, data management, data development and analysis, and data visualization platform.
The data source layer supports various acquisition interfaces, and equipment inspection can be carried out after external equipment is quickly accessed.
The data layer automatically judges whether the selected data platform and the database are accessed to the cloud platform or not, and improves the processing and analysis of data through cloud edge cooperation.
Compared with the prior art, the invention has the advantages that:
(1) the IT and OT fused lightweight autonomous edge intelligent all-in-one machine can be used as an edge server to build a private edge cloud environment or other OT systems, whether a cloud platform is connected or not can be selected according to requirements of functions, performance and the like, on-site application closed loop can be realized at the edge side, real-time intelligent decision and execution of local services are supported, long-period big data processing and analysis can be realized through cloud edge cooperation, and advantages are brought into play in the fields of long-term maintenance, service decision support and the like;
(2) the invention adopts a main stream data protocol compatible with the self, and simultaneously, data acquisition, protocol conversion and standardized output are carried out by means of the data acquisition gateway, so that almost all equipment data acquisition and processing can be met, and meanwhile, the invention has a main stream database platform, has high running speed, supports object-oriented and process-oriented programming modes and mixed programming modes, high safety, low cost, large storage capacity and convenient data storage;
(3) according to the invention, a lightweight solution is provided for the edge side application scene from multi-dimensional lightweight customization of data acquisition, data processing, platform architecture and the like, so that the cost is reduced, and meanwhile, the deployment and maintenance are easy.
Drawings
FIG. 1 is a diagram of a lightweight autonomous edge smart all-in-one architecture provided by the present invention;
FIG. 2 is a scene diagram of a typical application of the lightweight autonomous edge intelligent all-in-one machine provided by the invention;
Detailed Description
A lightweight autonomous edge intelligent all-in-one machine integrating IT and OT realizes full link service and real-time response of data acquisition, data analysis and data application at an edge side, can be independently deployed, independently operated and independently managed without depending on a cloud platform, and better supports real-time intelligent decision and execution of local services. Simultaneously, possess cloud limit synergistic ability again, light big data processing and the analysis of coping with long period also can guarantee simultaneously intelligent model's continuous optimization, specifically do:
including data source layer, data layer, marginal intelligent platform layer, application layer, wherein:
data source layer: the data source is used for data access of the Internet of things equipment, data acquisition, protocol transfer-out and standardized output are carried out through the data acquisition gateway, data interaction and communication between a light-weight autonomous edge intelligent all-in-one machine consisting of a data source layer, a data layer, an edge intelligent platform layer and an application layer and external equipment are realized through a specified communication mode, and data acquisition is carried out through terminal equipment and is supplied to the data source layer for acquisition;
the data source is external terminal equipment, including but not limited to a camera, a PLC, an electric meter, a water meter, a face access control machine, a sensor, intelligent production equipment, a fire alarm, an intelligent terminal, a monitoring interface and vehicle management facilities, and the specified communication mode includes but not limited to 4G, 5G, wifi and Ethernet;
and (3) a data layer: data storage, data processing and data use are carried out on the data acquired by the data source layer;
the data layer adopts a MySQL database and a MongoDB database to perform data storage, data processing and data use;
edge intelligent platform layer: the intelligent edge integrated machine is a K3s model, a framework and an operation environment are provided, an application program and an algorithm can be constructed, developed or customized based on the framework in the edge intelligent integrated machine, and meanwhile, data uploaded by an edge layer can be analyzed and mined without depending on a remote cloud service platform, so that a modeling tool is carried, and an engine service, a development environment, an operation environment, application full-life-cycle management, a basic edge cloud platform, an algorithm library and a data platform are provided;
the edge intelligent platform layer adopts an edge intelligent platform of K3s model, and supports modeling tools, engine services, development environment, running environment, application full-life cycle management, a basic edge cloud platform, an algorithm library and a data platform;
the algorithm library comprises but is not limited to a deep learning algorithm, a machine learning algorithm, a transfer learning algorithm and a reinforcement learning algorithm;
data platforms include, but are not limited to, data integration, data management, data development analysis, data visualization platforms;
an application layer: and performing external data application according to the data processed by the data layer and the edge intelligent platform layer.
Preferably, the data source layer supports various acquisition interfaces, and external equipment can be quickly accessed and then can be subjected to equipment inspection; the data layer performs autonomous judgment on whether the selected data platform and the database are accessed to the cloud platform, and improves processing and analysis of data achieved through cloud-side cooperation.
Further analysis was carried out according to the following specific examples:
in the current embodiment, the lightweight autonomous edge intelligent all-in-one machine structure with IT and OT integrated comprises a data source layer, a data layer, an edge intelligent platform layer and an application layer, wherein the lightweight autonomous edge intelligent all-in-one machine provides functional modules for collecting, converting, processing and transmitting industrial equipment data of different manufacturers, OT networking of factories, communication protocol conversion and the like, and also supports intelligent services such as intelligent equipment inspection, large data stream processing, message routing, function service and the like, so that real-time edge intelligent service is provided nearby, on-site application closed loop can be realized at the edge side, and the lightweight autonomous edge intelligent all-in-one machine structure is easy to deploy and use, and has superior instantaneity, stability, safety and privacy. When processing and analyzing global, non-real-time and long-period big data, the all-in-one machine provided by the invention firstly preprocesses the data, and then completes the big data processing and analyzing by connecting with the cloud platform through the network, and has the advantages of high performance, expandability, convenience in data storage, powerful functions and the like.
The data source layer, namely data access of the Internet of things equipment, is used for acquisition, protocol conversion and standardized output through a data acquisition gateway, and then is communicated with the lightweight autonomous edge intelligent all-in-one machine through various communication modes such as 4G, 5G, wifi and Ethernet;
the data source comprises but is not limited to equipment such as a camera, a PLC, an electric meter, a water meter, a face gate inhibition machine, a sensor, intelligent production equipment, a fire alarm, an intelligent terminal, a monitoring interface, vehicle management facilities and the like;
and the data layer is used for storing, processing and using data, and provides a solution for a relational database and a non-relational database by adopting MySQL and MongoDB databases. MySQL has small volume, high speed and low total cost of ownership, and is the first choice for developing small and medium WEB applications. MongoDB provides an extensible high-performance data storage solution for WEB application by virtue of the advantages of high performance, easy deployment and easy use;
the edge intelligent platform uses K3s, a kernel mechanism is the same as Kubernets (K8s), but many external dependencies and alpha and beta characteristics of K8s are eliminated, a deployment mode and an operation mode are changed at the same time, the edge intelligent platform is a light-weight version of K8s, consumes few resources during working, is specially designed for production workload in unattended, resource-limited and remote areas or Internet of things equipment, and is perfectly suitable for an edge environment. The system can support modeling tools, engine services, development environments, running environments, application full-life-cycle management, a basic edge cloud platform, an algorithm library, a data platform and the like;
the application layer comprises but is not limited to face recognition, disaster recognition, vehicle recognition, situation assessment, fault prediction, equipment monitoring, decision analysis and the like;
the algorithm library comprises but is not limited to a deep learning algorithm, a machine learning algorithm, a transfer learning algorithm, a reinforcement learning algorithm and the like;
data platforms include, but are not limited to, data integration, data management, data development analysis, data visualization, and the like;
the camera and the face access control machine can realize the functions of face recognition and vehicle recognition through the lightweight autonomous edge intelligent all-in-one machine under the condition of not connecting a remote cloud platform; the electric meter, the water meter and the like can master the water and electricity utilization conditions in the control range under the condition that the lightweight autonomous edge intelligent all-in-one machine is not connected with a remote cloud platform, and make corresponding prompts according to the special conditions; the PLC, the sensor, the intelligent production equipment and the vehicle management facility can directly or through a data acquisition gateway send the operation data of all relevant production equipment to the lightweight autonomous edge intelligent all-in-one machine, and dynamically update and process the operation data at an intelligent terminal and a monitoring interface, so that the production equipment can be monitored in real time, fault identification and prediction are realized, production activities are planned, and a decision analysis function is realized; when the fire alarm detects that smoke exceeds the standard, the disaster recognition function can be realized through the lightweight autonomous edge intelligent all-in-one machine under the condition of not connecting with a remote cloud platform.
As shown in fig. 1 and 2, the all-in-one machine design comprises 1-an electricity meter, 2-a PLC, 3-a water meter, 4-a face door access machine, 5-a sensor, 6-intelligent production equipment, 7-an intelligent terminal, 8-a monitoring interface, 9-a fire alarm, 10 cameras, 11-a light-weight autonomous edge intelligent all-in-one machine, 12-a data acquisition gateway and 13-a remote cloud platform, wherein the light-weight autonomous edge intelligent all-in-one machine with integrated IT and OT can support intelligent services such as intelligent equipment inspection, large data stream processing, message routing, function service and the like, and can provide real-time edge intelligent service nearby; the system supports various acquisition interfaces, and can self-define and expand communication, acquisition, calculation and storage functional modules; two intelligent systems of the attachment access and the intelligent inspection are adopted, so that the functions of quick equipment access and equipment inspection are realized; and whether the cloud platform is accessed or not can be automatically judged according to the requirements of functions and performance, and the processing and analysis of the big data are realized through cloud edge cooperation. Based on the method, the functions of device virtualization, big data storage, high-performance calculation, data analysis, application and the like can be realized.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make variations and modifications of the present invention without departing from the spirit and scope of the present invention by using the methods and technical contents disclosed above.
Those skilled in the art will appreciate that the details of the invention not described in detail in this specification are well within the skill of those in the art.
Claims (7)
1. The utility model provides a lightweight autonomous edge intelligence all-in-one that IT and OT fuse which characterized in that:
including data source layer, data layer, marginal intelligent platform layer, application layer, wherein:
data source layer: the data source is used for data access of the Internet of things equipment, data acquisition, protocol transfer-out and standardized output are carried out through the data acquisition gateway, data interaction and communication between a light-weight autonomous edge intelligent all-in-one machine consisting of a data source layer, a data layer, an edge intelligent platform layer and an application layer and external equipment are realized through a specified communication mode, and data acquisition is carried out through terminal equipment and is supplied to the data source layer for acquisition;
and (3) a data layer: data storage, data processing and data use are carried out on the data acquired by the data source layer;
edge intelligent platform layer: the model k3s is adopted to provide an operation environment and an operation framework, an application program and an algorithm are constructed, developed or customized based on the framework, data analysis is carried out, data uploaded by an edge layer are mined, a remote cloud service platform is not relied on, and the framework is used for carrying a modeling tool and providing an engine service, a development environment, an operation environment, application full life cycle management, a basic edge cloud platform, an algorithm library and a data platform;
an application layer: and performing external data application according to the data processed by the data layer and the edge intelligent platform layer.
2. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 1, characterized in that:
the data source is external terminal equipment, including but not limited to camera, PLC, ammeter, water gauge, people's face access control machine, sensor, intelligent production equipment, fire alarm, intelligent terminal, monitoring interface, vehicle management facility, appointed communication mode includes but not limited to 4G, 5G, wifi and ethernet.
3. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 1, characterized in that:
and the data layer adopts a MySQL database and a MongoDB database to store, process and use data.
4. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 4, characterized in that:
the algorithm library includes, but is not limited to, a deep learning algorithm, a machine learning algorithm, a transfer learning algorithm, and a reinforcement learning algorithm.
5. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 4, characterized in that:
the data platform includes but is not limited to data integration, data management, data development and analysis, and data visualization platform.
6. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 4, characterized in that:
the data source layer supports various acquisition interfaces, and equipment inspection can be carried out after external equipment is quickly accessed.
7. The IT and OT fused lightweight autonomous edge smart all-in-one machine according to claim 6, characterized in that:
the data layer automatically judges whether the selected data platform and the database are accessed to the cloud platform or not, and improves the processing and analysis of data through cloud edge cooperation.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114967876A (en) * | 2022-06-20 | 2022-08-30 | 广州禹龙信息科技有限公司 | Edge cloud all-in-one machine |
| CN116847415A (en) * | 2023-09-01 | 2023-10-03 | 北京城建智控科技股份有限公司 | Edge control all-in-one based on wireless transmission |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110430260A (en) * | 2019-08-02 | 2019-11-08 | 哈工大机器人（合肥）国际创新研究院 | Robot cloud platform based on big data cloud computing support and working method |
| US20200007409A1 (en) * | 2018-06-29 | 2020-01-02 | Electronics And Telecommunications Research Institute | INTELLIGENT INTERNET OF EVERYTHING (IoE) EDGE COMPUTIING SYSTEM FOR HIGH RELIABLE INTERNET OF THINGS (IoT) SERVICE |
| CN111371830A (en) * | 2019-11-26 | 2020-07-03 | 航天科工网络信息发展有限公司 | Intelligent cooperative cloud architecture based on data driving under ten thousand network fusion scene |
| CN111861779A (en) * | 2020-07-22 | 2020-10-30 | 山东钢铁股份有限公司 | Internet platform system for steel manufacturing industry |
| CN112003924A (en) * | 2020-08-20 | 2020-11-27 | 浪潮云信息技术股份公司 | Industrial internet-oriented edge cloud platform building method and system |
| EP3826266A2 (en) * | 2020-09-30 | 2021-05-26 | Beijing Baidu Netcom Science And Technology Co. Ltd. | Method for sending a certificate, method for receiving a certificate, cloud and terminal device |
-
2021
- 2021-09-13 CN CN202111068782.9A patent/CN114124947A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200007409A1 (en) * | 2018-06-29 | 2020-01-02 | Electronics And Telecommunications Research Institute | INTELLIGENT INTERNET OF EVERYTHING (IoE) EDGE COMPUTIING SYSTEM FOR HIGH RELIABLE INTERNET OF THINGS (IoT) SERVICE |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110430260A (en) * | 2019-08-02 | 2019-11-08 | 哈工大机器人（合肥）国际创新研究院 | Robot cloud platform based on big data cloud computing support and working method |
| CN111371830A (en) * | 2019-11-26 | 2020-07-03 | 航天科工网络信息发展有限公司 | Intelligent cooperative cloud architecture based on data driving under ten thousand network fusion scene |
| CN111861779A (en) * | 2020-07-22 | 2020-10-30 | 山东钢铁股份有限公司 | Internet platform system for steel manufacturing industry |
| CN112003924A (en) * | 2020-08-20 | 2020-11-27 | 浪潮云信息技术股份公司 | Industrial internet-oriented edge cloud platform building method and system |
| EP3826266A2 (en) * | 2020-09-30 | 2021-05-26 | Beijing Baidu Netcom Science And Technology Co. Ltd. | Method for sending a certificate, method for receiving a certificate, cloud and terminal device |
Non-Patent Citations (2)
| Title |
|---|
| 刘秋妍等: "面向5G新媒体行业的边缘云平台设计", 《信息通信技术》 * |
| 孙立: "面向边缘智能产业的工业大数据服务研究", 《信息与电脑(理论版)》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114967876A (en) * | 2022-06-20 | 2022-08-30 | 广州禹龙信息科技有限公司 | Edge cloud all-in-one machine |
| CN116847415A (en) * | 2023-09-01 | 2023-10-03 | 北京城建智控科技股份有限公司 | Edge control all-in-one based on wireless transmission |
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