CN114363330A - Edge server management system and method - Google Patents
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Abstract
The invention discloses an edge server management system and a method, wherein the edge server management system comprises an edge equipment layer, an edge server layer and a cloud computing layer; the edge device layer is used for acquiring collected data and task data in a field environment and transmitting the collected data and the task data to the edge server layer; the edge server layer is used for analyzing and processing the acquired data and the task data and transmitting the analyzed and processed acquired data and task data to the cloud computing layer; the cloud computing layer is used for aggregating the collected data and the task data by adopting an intelligent algorithm, formulating a corresponding intelligent strategy, intelligently scheduling the edge equipment layer and deploying a corresponding task for the edge equipment layer. According to different properties of application, data and service, the data are respectively processed in the cloud computing layer and the edge server layer, and the method has the advantages of low time delay, more accurate time synchronism, interconnection of heterogeneous systems, large-scale and wide layout application, more intellectualization and the like.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an edge server management system and method.
Background
The edge computing is originated in the field of media, and means that an open platform integrating network, computing, storage and application core capabilities is adopted on one side close to an object or a data source to provide nearest-end service nearby. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computation is between the physical entity and the industrial connection, or on top of the physical entity. With the advent of the 5G era, edge computing is more important, because 5G communication networks are more decentralized, and small-scale or portable data centers need to be deployed at the edge of the network to perform localized processing of terminal requests, so as to meet the ultra-low latency requirements of URLLC and MIoT. Three application scenarios of 5G and the delay index smaller than 1ms determine that a large amount of 5G services are processed not by a cloud platform at the back end of a core network but by an edge server at the edge of the network.
A, the data of an equipment acquisition end is more, the data required by software is less, and the software wastes a large amount of software system resources by processing and screening the equipment data, thereby reducing the performance of the software; b. the software wastes a large amount of software system resources by processing and screening the equipment data, and the resource investment of hardware is increased; c. the equipment acquisition end and the software server end interact through a network, and the operation of front-end software is caused by data lack or data delay caused by the network; d. the related parameters, interfaces and access passwords of old equipment are lost, and software cannot be directly accessed through a network; e. the device languages, protocols and parameter standards corresponding to devices of different manufacturers are different, and one production enterprise may have devices of dozens of manufacturers, and common software or software manufacturers cannot translate and process device data.
Disclosure of Invention
In order to solve the problem of resource waste of a large number of software systems caused by non-uniform edge server management in the prior art, the invention aims to provide an edge server management system and method.
In order to achieve the purpose, the invention adopts the following technical scheme: an edge server management system comprises an edge device layer, an edge server layer and a cloud computing layer;
the edge device layer is used for acquiring collected data and task data in a field environment and transmitting the collected data and the task data to the edge server layer;
the edge server layer is used for analyzing and processing the acquired data and the task data and transmitting the analyzed and processed acquired data and task data to the cloud computing layer;
and the cloud computing layer is used for aggregating the acquired data and the task data by adopting an intelligent algorithm, formulating a corresponding intelligent strategy, intelligently scheduling the edge equipment layer and deploying a corresponding task for the edge equipment layer.
As an alternative to the present invention, the edge device layer includes a plurality of detection sensors and working devices deployed in a field environment.
As an alternative of the present invention, the edge server layer includes a plurality of edge servers, each of which has a plurality of different communication interfaces, and the plurality of different communication interfaces are respectively used for connecting different detection sensors and working devices.
As an alternative of the present invention, the edge server includes:
the data interface module is used for connecting different detection sensors and working equipment and acquiring acquired data and task data of the detection sensors and the working equipment;
the data filtering module is used for filtering the collected data and the task data;
the data processing module is used for analyzing and processing the filtered acquired data and task data and then feeding back the data to the data acquisition equipment;
the data extraction module is used for extracting the specific acquired data and the task data processed by the data processing module and transmitting the data to the cloud computing layer;
and the data storage module is used for storing the acquired data and the task data which are comprehensively processed by the data processing module.
As an alternative of the present invention, the edge server further includes an early warning module, and the early warning module is configured to make an early warning and a response for warning information of the collected data and the task data.
As an alternative of the present invention, the data filtering module includes:
the preprocessing unit is used for preprocessing the acquired data and the task data;
and the data removing and screening is used for removing invalid data in the preprocessed collected data and the task data.
In another aspect, the invention adopts the following technical scheme: an edge server management method, comprising:
the method comprises the steps that an edge device layer obtains collected data and task data in a field environment and transmits the collected data and the task data to an edge server layer;
the edge server layer analyzes and processes the acquired data and the task data and transmits the analyzed and processed acquired data and task data to the cloud computing layer;
and the cloud computing layer aggregates the acquired data and the task data based on an intelligent algorithm, formulates a corresponding intelligent strategy, intelligently schedules the edge equipment layer and deploys corresponding tasks for the edge equipment layer.
As an alternative of the present invention, the analyzing and processing of the collected data and the task data by the edge server layer, and the transmitting of the collected data and the task data after the analyzing and processing to the cloud computing layer, includes:
connecting different detection sensors and working equipment through a data interface module, and acquiring collected data and task data of the detection sensors and the working equipment;
filtering the collected data and the task data;
analyzing and processing the filtered acquired data and task data, and feeding back the data and the task data to data acquisition equipment;
extracting specific collected data and task data processed by the data processing module, and transmitting the data to the cloud computing layer;
and storing the acquired data and the task data which are comprehensively processed by the storage data processing module.
As an alternative of the present invention, the edge server layer analyzes and processes the collected data and the task data, and transmits the analyzed and processed collected data and task data to the cloud computing layer, and the method further includes: and warning and responding to the warning information of the collected data and the task data.
As an alternative of the present invention, the filtering the collected data and the task data includes:
preprocessing the collected data and the task data;
and eliminating invalid data in the preprocessed collected data and the task data.
The invention has the beneficial effects that:
1. according to different properties of application, data and service, the data are respectively processed in a cloud computing layer and an edge server layer, and the method has the advantages of low time delay, more accurate time synchronism, interconnection of heterogeneous systems, large-scale and wide layout application, more intellectualization and the like;
2. the data explosion and the pressure of network flow are slowed down, and a part of simple data processing is performed through the edge nodes when cloud transmission is performed, so that the response time of equipment can be shortened, and the data flow from the equipment to the cloud is reduced.
3. An intelligent strategy is formulated based on a big data processing mode of a cloud computing layer, intelligent scheduling is carried out on an edge equipment layer, corresponding tasks are deployed for the edge equipment layer, the data acquisition efficiency is greatly improved, the timeliness is enhanced, and harsh low-delay service response can be completed.
4. The edge server is provided with a plurality of communication interfaces which can correspond to different detection sensors and working equipment so as to carry out centralized and unified processing on data of different edge equipment, and the interfaces of most of equipment can meet the requirement of connection communication; the communication protocol of most equipment manufacturers on the market can be met, and the software can be automatically converted into a computer language which can be identified by software; an edge server can be connected with a plurality of device data simultaneously, and the device data of one group is ensured to be real and reliable.
Drawings
FIG. 1 is a control block diagram of an edge server management system in accordance with an embodiment of the present invention;
fig. 2 is a control block diagram of an edge server in an embodiment of the present invention.
Detailed Description
Examples
As shown in fig. 1 and fig. 2, the present embodiment provides an edge server management system, including an edge device layer, an edge server layer, and a cloud computing layer; the edge device layer is used for acquiring collected data and task data in a field environment and transmitting the collected data and the task data to the edge server layer, and the edge device layer comprises a plurality of detection sensors and working devices which are deployed in the field environment. For different fields, different detection sensors and working equipment exist, the detection sensors comprise temperature sensors, humidity sensors and pressure sensors, and the working equipment comprises electrical equipment, robots, AGV trolleys and the like.
The edge server layer is used for analyzing and processing the acquired data and the task data and transmitting the analyzed and processed acquired data and task data to the cloud computing layer. The edge server layer comprises a plurality of edge servers, each edge server is provided with a plurality of different communication interfaces, and the plurality of different communication interfaces are respectively used for connecting different detection sensors and working equipment. The edge server of the invention is provided with a plurality of communication interfaces which can correspond to different detection sensors and working equipment so as to carry out centralized and unified processing on the data of different edge equipment, and has the following advantages: 1) the interfaces of most devices can meet the requirement of connection communication; 2) the communication protocol of most equipment manufacturers on the market can be met, and the software can be automatically converted into a computer language which can be identified by software; 3) important data of the equipment can be automatically stored in the hard disk module and cannot be influenced by the network and software; 4) one application software can be simultaneously connected with a plurality of edge servers, and can simultaneously or asynchronously remove the relevant data of the equipment; 5) an edge server can be connected with a plurality of device data simultaneously, and the device data of one group is ensured to be real and reliable.
As shown in fig. 2, specifically, the edge server includes: the system comprises a data interface module, a data filtering module, a data processing module, a data extraction module, a data storage module and an early warning module. The data interface module is used for connecting different detection sensors and working equipment and acquiring acquired data and task data of the detection sensors and the working equipment; the data filtering module is used for filtering the collected data and the task data; the data processing module is used for analyzing and processing the filtered acquired data and task data and then feeding back the data to the data acquisition equipment; the data extraction module is used for extracting specific acquired data and task data processed by the data processing module and transmitting the data to the cloud computing layer; the data of the edge equipment is not required to be transmitted to a cloud computing layer by each piece of original data, idle resources of the equipment are fully utilized, filtering and analyzing are carried out at the edge nodes, and energy and time are saved.
The data storage module is used for storing the acquired data and the task data which are comprehensively processed by the data processing module, and the edge server has certain data storage capacity and stores the real-time state data from the edge equipment layer and information such as alarm and fault for a certain time length. In the data stored in the edge device layer, only necessary data can be uploaded to the cloud computing layer, so that a large amount of data transmission cost can be saved. Meanwhile, although the storage data amount of the edge device layer is limited, the edge device layer can still be used as a black box for analyzing reasons after the edge device fails. The early warning module is used for making early warning and response aiming at the warning information of the collected data and the task data so as to enable the edge equipment layer to normally operate.
The data filtering module comprises a preprocessing unit and a data removing and screening unit, the preprocessing unit is used for preprocessing the collected data and the task data, the data removing and screening unit is used for removing invalid data in the preprocessed collected data and the task data, the occupied storage space of the invalid data is reduced, repeated information is deleted, error data is corrected, data consistency is provided, the accuracy of the data is greatly improved, and the subsequent data processing efficiency is improved. The invention can slow down data explosion and network flow pressure, and can perform a part of simple data processing through the edge node during cloud transmission, thereby reducing the response time of the equipment and reducing the data flow from the equipment to the cloud.
The edge server of the invention supports thousands of device communication protocols including internet of things: MQTT, SOAP protocol (webservice); MODBUS; RTU: a serial port protocol; MODBUS TCP: an Ethernet protocol; XL/6N-RF-UDP: the communication protocol actively uploads data in 490MHz and 2.4GHz wireless modes, and XL61 and XL62 series products and XL91 support the protocol; XL/6N-G2-UDP: the information protocol actively uploads data in a GPRS mode, and XL61 and XL62 series products and XL90 support the information protocol; XL/9G-G2-UDP: the information and standing protocol actively uploads data in a GPRS mode, and XL91 and XL68 support the protocol; XL/9G-E-WD: the system comprises a trusted and established protocol, a data base, databases such as SQL Server and MY SQL, and XL 90; XL/9G-E-RDS, etc.
The edge server of the present invention has the following functions:
1. connection and device protocol conversion: and fusion of IT and OT is realized through protocol conversion, and data interaction between the equipment layer and the information system is completed. The data acquisition equipment in the industrial field is various in types, and the adopted protocols are different. Therefore, the primary task of the edge server is data processing, which translates the industrial automation language of the device into the IT language that the information system can recognize, i.e., completes the conversion of many OT protocols at the device layer into IT protocols.
2. Data storage: the edge server has certain data storage capacity and stores real-time state data from an edge equipment layer and information such as alarm and fault for a certain time length. In the data stored in the edge device layer, only necessary data can be uploaded to the cloud computing layer, so that a large amount of data transmission cost can be saved. Meanwhile, although the storage data amount of the edge device layer is limited, the edge device layer can still be used as a black box for analyzing reasons after the edge device fails.
3. Feedback control: under the condition of artificial authorization, the edge server can perform automatic feedback control on the operation of equipment according to preset rules after acquiring production field data, so that a closed loop is formed in an edge layer, namely the closed loop feedback control performed at the edge side can fully ensure the real-time performance of data from data acquisition, analysis and control.
The cloud computing layer is used for aggregating the acquired data and the task data by adopting an intelligent algorithm, formulating a corresponding intelligent strategy, carrying out intelligent scheduling on the edge equipment layer and deploying a corresponding task for the edge equipment layer, and carrying out scheduling on each edge equipment and deploying a corresponding task by adopting intelligent analysis, so that more complete data is obtained.
The embodiment further provides an edge server management method, which is applied to the edge server management system, and includes:
s100, the edge device layer acquires collected data and task data in a field environment and transmits the collected data and the task data to the edge server layer;
s200, the edge server layer analyzes and processes the acquired data and the task data, and transmits the analyzed and processed acquired data and task data to the cloud computing layer, and the method specifically comprises the following steps:
s201, connecting different detection sensors and working equipment through a data interface module, and acquiring collected data and task data of the detection sensors and the working equipment;
s202, filtering the collected data and the task data, and specifically comprising the following steps:
s2021, preprocessing the collected data and the task data;
and S2022, removing invalid data in the preprocessed collected data and the task data.
S203, analyzing and processing the filtered acquired data and task data, and feeding back the data to data acquisition equipment;
s204, extracting specific acquired data and task data processed by the data processing module, and transmitting the data to a cloud computing layer;
and S205, storing the acquired data and the task data which are comprehensively processed by the storage data processing module.
And S206, giving early warning and responding to the warning information of the collected data and the task data.
And S300, the cloud computing layer aggregates the collected data and the task data based on an intelligent algorithm, formulates a corresponding intelligent strategy, intelligently schedules the edge equipment layer and deploys corresponding tasks for the edge equipment layer.
The edge server management method improves the overall working efficiency of the edge server management system, and overcomes the defects that the network load pressure of the existing edge server is high, the data processing efficiency is low, the application instantaneity cannot be met, and the like. Compared with the prior art, the invention mainly embodies the following advantages:
1. according to different properties of application, data and service, the data are respectively processed in a cloud computing layer and an edge server layer, and the method has the advantages of low time delay, more accurate time synchronism, interconnection of heterogeneous systems, large-scale and wide layout application, more intellectualization and the like;
2. the data explosion and the pressure of network flow are slowed down, and a part of simple data processing is performed through the edge nodes when cloud transmission is performed, so that the response time of equipment can be shortened, and the data flow from the equipment to the cloud is reduced.
3. An intelligent strategy is formulated based on a big data processing mode of a cloud computing layer, intelligent scheduling is carried out on an edge equipment layer, corresponding tasks are deployed for the edge equipment layer, the data acquisition efficiency is greatly improved, the timeliness is enhanced, and harsh low-delay service response can be completed.
In the description of the present invention, specific features, structures, etc. described in the embodiments are included in at least one embodiment, and those skilled in the art may combine features of different embodiments without contradiction. The protection scope of the present invention is not limited to the above specific examples, and embodiments that can be imagined by those skilled in the art without creative efforts based on the basic technical concept of the present invention belong to the protection scope of the present invention.
Claims (10)
1. An edge server management system is characterized by comprising an edge device layer, an edge server layer and a cloud computing layer;
the edge device layer is used for acquiring collected data and task data in a field environment and transmitting the collected data and the task data to the edge server layer;
the edge server layer is used for analyzing and processing the acquired data and the task data and transmitting the analyzed and processed acquired data and task data to the cloud computing layer;
and the cloud computing layer is used for aggregating the acquired data and the task data by adopting an intelligent algorithm, formulating a corresponding intelligent strategy, intelligently scheduling the edge equipment layer and deploying a corresponding task for the edge equipment layer.
2. The edge server management system of claim 1 wherein the edge device layer comprises a plurality of detection sensors and working devices deployed in a field environment.
3. The edge server management system of claim 2, wherein the edge server layer comprises a plurality of edge servers, each edge server having a plurality of different communication interfaces, the plurality of different communication interfaces being respectively used for connecting different detection sensors and working devices.
4. The edge server management system of claim 3, wherein the edge server comprises:
the data interface module is used for connecting different detection sensors and working equipment and acquiring acquired data and task data of the detection sensors and the working equipment;
the data filtering module is used for filtering the collected data and the task data;
the data processing module is used for analyzing and processing the filtered acquired data and task data and then feeding back the data to the data acquisition equipment;
the data extraction module is used for extracting the specific acquired data and the task data processed by the data processing module and transmitting the data to the cloud computing layer;
and the data storage module is used for storing the acquired data and the task data which are comprehensively processed by the data processing module.
5. The edge server management system of claim 4, wherein the edge server further comprises an early warning module for making early warning and response to warning information of the collected data and the task data.
6. The edge server management system of claim 4, wherein the data filtering module comprises:
the preprocessing unit is used for preprocessing the acquired data and the task data;
and the data removing and screening is used for removing invalid data in the preprocessed collected data and the task data.
7. An edge server management method, comprising:
the method comprises the steps that an edge device layer obtains collected data and task data in a field environment and transmits the collected data and the task data to an edge server layer;
the edge server layer analyzes and processes the acquired data and the task data and transmits the analyzed and processed acquired data and task data to the cloud computing layer;
and the cloud computing layer aggregates the acquired data and the task data based on an intelligent algorithm, formulates a corresponding intelligent strategy, intelligently schedules the edge equipment layer and deploys corresponding tasks for the edge equipment layer.
8. The edge server management method according to claim 7, wherein the edge server layer analyzes and processes the collected data and the task data, and transmits the analyzed and processed collected data and task data to the cloud computing layer, and the method includes:
connecting different detection sensors and working equipment through a data interface module, and acquiring collected data and task data of the detection sensors and the working equipment;
filtering the collected data and the task data;
analyzing and processing the filtered acquired data and task data, and feeding back the data and the task data to data acquisition equipment;
extracting specific collected data and task data processed by the data processing module, and transmitting the data to the cloud computing layer;
and storing the acquired data and the task data which are comprehensively processed by the storage data processing module.
9. The edge server management method according to claim 8, wherein the edge server layer analyzes and processes the collected data and the task data, and transmits the analyzed and processed collected data and task data to the cloud computing layer, and further comprising: and warning and responding to the warning information of the collected data and the task data.
10. The edge server management method of claim 8, wherein filtering the collected data and the task data comprises:
preprocessing the collected data and the task data;
and eliminating invalid data in the preprocessed collected data and the task data.
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