CN112468584B - Edge cloud industrial data management system and method based on publishing and subscribing mechanism and time delay analysis - Google Patents
Edge cloud industrial data management system and method based on publishing and subscribing mechanism and time delay analysis Download PDFInfo
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Abstract
The invention discloses an edge cloud industrial data management system and method based on a publish-subscribe mechanism and time delay analysis, wherein the management system comprises a data source; the system is used for acquiring industrial field data; an edge cloud server; for deploying industrial data applications; a 5G base station; the system comprises a data source, an edge cloud server and a data source, wherein the data source is used for receiving industrial field data transmitted by the 5G data source and uploading the industrial field data to the edge cloud server; each edge cloud server is deployed in the 5G base station, and data transmission is carried out between the edge cloud servers and the 5G base station in a direct connection mode; the edge cloud server comprises a time delay analysis module; the data transmission delay time is calculated between the edge cloud servers; a data management module; the data caching management module is used for data publishing subscription and data caching management; a data application module; for accessing data sources that industrial data applications require access to. The advantages are that: through a publishing subscription mechanism, the global perception of data subscription information is realized; the low-delay reading of the data is realized through time delay analysis; and through data caching, the reliability of data reading is improved.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a system and a method for managing edge cloud industrial data based on a publish-subscribe mechanism and time delay analysis.
Background
The fifth generation mobile communication technology (5G for short) is the latest generation cellular mobile communication technology, and is also an extension following 4G, 3G and 2G systems. The performance goals of 5G are high data rates, reduced latency, energy savings, reduced cost, increased system capacity, and large-scale device connectivity.
In the 5G background, the data volume is large, the calculation task is multiple, and if a classic centralized cloud calculation method is adopted, large delay is brought because the data transmission distance is long.
Disclosure of Invention
The invention aims to provide a system and a method for managing edge cloud industrial data based on a publish-subscribe mechanism and time delay analysis, so that the problems in the prior art are solved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an edge cloud industrial data management system based on a publish-subscribe mechanism and time delay analysis comprises
A data source; the system is used for acquiring industrial field data;
an edge cloud server; for deploying various industrial data applications;
a 5G base station; the system comprises an edge cloud server, a data source and a data processing module, wherein the edge cloud server is used for receiving industrial field data transmitted by the data source through 5G and uploading the industrial field data to the edge cloud server;
each edge cloud server is deployed in the 5G base station, and data transmission is carried out between the edge cloud servers and the 5G base station in a direct connection mode;
each of the edge cloud servers includes a server,
a delay analysis module; the data transmission delay time calculation method is used for calculating data transmission delay time between the edge cloud servers;
a data management module; the data publishing and subscribing and the data caching management are carried out;
a data application module; for accessing data sources that industrial data applications require access to.
The invention also aims to provide an edge cloud industrial data management method based on a publish-subscribe mechanism and time delay analysis, which is realized by using the management system; the management method comprises the following steps of,
s1, the time delay analysis module of each edge cloud server respectively sends the detection frame to other edge cloud servers, receives ark frames transmitted by the other edge cloud server, and analyzes the transmission time delay according to the sending time of the detection frame and the receiving time of ark frames; each edge cloud server acquires a time delay data table;
s2, the data management module of each edge cloud server respectively publishes local data publishing description and local data requirement description to a far-end cloud server, and the far-end cloud server constructs a data subscription table according to the local data publishing description and the local data requirement description sent by all the edge cloud servers;
and S3, the data application modules of the edge cloud servers specifically access the corresponding data sources according to the data subscription table to acquire industrial field data.
Preferably, the local data publishing description includes an ID of the data source, a device network address of the data source, a data type of the data source, and a data description of the data source.
Preferably, the local data requirement description is that each edge cloud server acquires industrial field data of a data source governed by a certain edge cloud server according to the requirements of the industrial data application deployed on the edge cloud server.
Preferably, the specific process of the data application module of a certain edge cloud server a accessing a certain data source Sensor according to the data subscription table is,
s31, the data application module of the edge cloud server A sends a command for reading the data source Sensor to the data management module of the edge cloud server A, the data management module of the edge cloud server A firstly judges whether the industrial field data of the data source Sensor is cached, if yes, the data management module of the edge cloud server A directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the edge cloud server A judges whether the data source Sensor is covered by the edge cloud server A or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server A sends a data acquisition instruction to the data source Sensor through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, and the 5G base station transmits the industrial field data to the edge cloud server A through the direct connection network; if not, returning that reading the data source Sensor fails, and the data application module of the edge cloud server A entering the step S32;
s32, the data application module of the edge cloud server A acquires all the remote edge cloud servers subscribing the data source Sensor according to the data subscription table; the data application module of the edge cloud server A sorts all the different-place edge cloud servers according to the time delay data table from small to large, and sends a command for reading a data source Sensor to the data management module of the different-place edge cloud servers in sequence;
the data management module of the remote edge cloud server B positioned in the first sequence firstly judges whether industrial field data of a data source Sensor are cached or not; if yes, the data management module of the remote edge cloud server B directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the remote edge cloud server B judges whether the data source Sensor is covered by the edge cloud server B or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server B sends a data acquisition instruction to the data source through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, the 5G base station transmits the industrial field data to the edge cloud server B through the direct connection network, and the data management module of the edge cloud server B returns the read industrial field data of the data source Sensor and caches the industrial field data of the data source Sensor; if not, returning that the reading of the data source Sensor fails, and sending a command for reading the data source Sensor to the data management module of the next remote edge cloud server in the sequence by the data application module of the edge cloud server A, and so on until the data application module of the edge cloud server A reads the data source Sensor successfully.
The invention has the beneficial effects that: 1. through a publishing subscription mechanism, the global perception of data subscription information is realized, and through time delay analysis, the low-delay reading of data is realized. 2. Through data caching, the reliability of data reading is improved, all edge cloud servers subscribing to sensor data can cache one sensor data, as long as the edge cloud servers covering the sensors can perform successful data transmission once, and even if the edge cloud servers break down, other edge cloud servers still can acquire the sensor data. 3. Under the group type industrial cloud organization structure, only one-time remote transmission is needed, and the data transmission cost and the time delay are reduced.
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Fig. 1 is a flowchart illustrating a management method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Example one
In this embodiment, an edge cloud industrial data management system based on a publish-subscribe mechanism and a time delay analysis is provided, which includes
A data source; the system is used for acquiring industrial field data;
an edge cloud server; for deploying various industrial data applications;
a 5G base station; the system comprises a data source, an edge cloud server and a data source, wherein the data source is used for receiving industrial field data transmitted by the 5G and uploading the industrial field data to the edge cloud server;
each edge cloud server is deployed in the 5G base station, and data transmission is carried out between the edge cloud servers and the 5G base station in a direct connection mode;
each of the edge cloud servers includes a server,
a delay analysis module; the data transmission delay time calculation method is used for calculating data transmission delay time between the edge cloud servers;
a data management module; the data publishing and subscribing and the data caching management are carried out;
a data application module; for accessing data sources that industrial data applications require access to.
In this embodiment, the remote cloud server also includes a data management module, which is used to implement publishing and subscribing of data.
Example two
As shown in fig. 1, in the present embodiment, a method for managing edge cloud industrial data based on a publish-subscribe mechanism and a time delay analysis is provided, where the management method is implemented by using a management system; the management method specifically comprises three steps, namely a time delay analysis stage, a data publishing and subscribing stage and a data access stage. The following is a detailed description of each stage:
first, the time delay analysis stage corresponds to the content of step S1, and step S1 is specifically,
the time delay analysis module of each edge cloud server respectively sends a detection frame to other edge cloud servers, receives ark frames transmitted by the other edge cloud server, and analyzes transmission time delay according to the sending time of the detection frame and the receiving time of ark frames; each edge cloud server acquires a time delay data table;
for example, step S1, assume that there is A, B, C, D, E edge cloud server covered by the industrial cloud; the edge cloud server A sends a probe frame to the edge cloud server B at the time of T1, and the edge cloud server A receives ark frames sent by the edge cloud server B at the time of T2, so that the transmission delay between the edge cloud server A and the edge cloud server B is recorded as T2-T1 by the edge cloud server A; after the delay analysis stage, each edge cloud server will obtain a delay data table, taking the edge cloud server a as an example, the obtained delay data table is as follows,
secondly, a data publishing and subscribing stage; corresponding to the content of step S2, step S2 is specifically,
the data management module of each edge cloud server respectively publishes local data publishing description and local data demand description to a remote cloud server, and the remote cloud server constructs a data subscription table according to the local data publishing description and the local data demand description sent by all the edge cloud servers;
1. the local data publication description includes: the device network address of the data source (sensor), the data type of the data source and the data description of the data source; the data types of the data source comprise two types, namely a type and a continuous type; the data of the data source describes, i.e., the physical meaning of, the data, such as voltage, current, acceleration, velocity, switching, amplitude, etc.
And the data management module of each edge cloud server issues local data issuing description to the data management module of the remote server.
For example, if there are 2 sensor devices covered by the edge cloud server a, the edge cloud server a issues the local publishing data description to the remote server specifically,
| data Source ID | Address | Type | Description |
| A-Sensor001 | 01-00-5e-xx-xx-xx | Category | Switch |
| A-Sensor002 | 01-00-5e-xx-xx-xx | Numerical | Speed |
2. And the data management module of each edge cloud server issues local data requirement description to the data management module of the remote server according to the requirement of local data application.
The local data requirement description is that each edge cloud server acquires industrial field data of a data source governed by a certain edge cloud server according to the requirement of industrial data application deployed on the edge cloud server.
For example, the data management module of the edge cloud server a needs to obtain data of Sensor001 and Sensor002 managed by the edge cloud server B according to the requirement of the local data application. The data management module of the edge cloud server a issues a local data requirement to the data management module of the remote server as described below.
| Edge cloud server | Data Source ID | Data Source ID |
| A | B-Sensor001 | B-Sensor002 |
3. And the data management module of the remote server constructs a data subscription table according to the local data publishing description and the local data demand description of all the edge cloud servers.
Each row of the data subscription table corresponds to the ID of one data source, and the edge cloud server using the data source. The data subscription table format is as follows (only 4 data records are given here):
| data Source ID | Edge cloud server | Edge cloud server | Edge cloud server |
| A-Sensor001 | C | D | E |
| A-Sensor002 | B | D | - |
| B-Sensor001 | A | C | - |
| B-Sensor002 | A | E | D |
4. And the data management module of each edge cloud server acquires subscription information corresponding to the local demand data source in the data subscription table from the data management module of the remote server.
For example, the data management module of the edge cloud server a needs to obtain data of Sensor001 and Sensor002 governed by the edge cloud server B; the edge cloud server a obtains the subscription information corresponding to the local data source in the data subscription table from the data management module of the remote server as follows.
| Data Source ID | Edge cloud server | (Edge)Cloud server | Edge cloud server |
| B-Sensor001 | A | C | - |
| B-Sensor002 | A | E | D |
Thirdly, a data access stage; corresponding to the content of step S3, step S3 is specifically,
and each edge cloud server specifically accesses the corresponding data source according to the data subscription table to acquire industrial field data. Specifically, a specific process for a data application module of a certain edge cloud server a to access a certain data source Sensor according to a data subscription table is that,
1. the data application module of the edge cloud server A sends a command for reading a data source Sensor to a data management module of the edge cloud server A, the data management module of the edge cloud server A firstly judges whether industrial field data of the data source Sensor are cached, and if yes, the data management module of the edge cloud server A directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the edge cloud server A judges whether the data source Sensor is covered by the edge cloud server A or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server A sends a data acquisition instruction to the data source Sensor through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, and the 5G base station transmits the industrial field data to the edge cloud server A through the direct connection network; if not, returning that reading the data source Sensor fails, and enabling the data application module of the edge cloud server A to enter the step 2;
2. a data application module of the edge cloud server A acquires all the remote edge cloud servers subscribing the data source Sensor according to the data subscription table; the data application module of the edge cloud server A sorts all the different-place edge cloud servers according to the time delay data table from small to large, and sends a command for reading a data source Sensor to the data management module of the different-place edge cloud servers in sequence;
the data management module of the remote edge cloud server B positioned in the first sequence firstly judges whether industrial field data of a data source Sensor are cached or not; if yes, the data management module of the remote edge cloud server B directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the remote edge cloud server B judges whether the data source Sensor is covered by the edge cloud server B or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server B sends a data acquisition instruction to the data source through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, the 5G base station transmits the industrial field data to the edge cloud server B through the direct connection network, and the data management module of the edge cloud server B returns the read industrial field data of the data source Sensor and caches the industrial field data of the data source Sensor; if not, returning that the reading of the data source Sensor fails, and sending a command for reading the data source Sensor to the data management module of the next remote edge cloud server in the sequence by the data application module of the edge cloud server A, and so on until the data application module of the edge cloud server A reads the data source Sensor successfully.
EXAMPLE III
In this embodiment, an industrial data management system and a management method are specifically described by taking a certain group industrial cloud organization architecture as an example.
If the group type industrial cloud is distributed in a city A and a city B; the city A comprises three parks, wherein each park comprises an edge cloud server and a 5G Internet of things; the city B is provided with 4 parks, and each park comprises an edge cloud server and a 5G Internet of things; the cities are connected through a wide area network, and the distance between the cities is long, so that the data transmission speed is low; the connection is carried out in the city through a metropolitan area network, and the data transmission speed is high due to the fact that the distance between the metropolitan area network and the city garden is short.
When edge cloud server a1 in city a accesses sensor data covered by edge cloud server B2 in city B.
The edge cloud server a1 first requests the other 2 edge cloud servers a2 and A3 in the city a (assuming that both a2 and A3 subscribe to sensor data), and if a2 or A3 already caches the sensor data, the cached data is directly obtained, so as to avoid the delay caused by long-distance data transmission.
If neither a2 nor A3 caches sensor data, the edge cloud server a1 obtains the sensor data through long-distance data transmission.
After that, when requesting data of the sensor, the a2 or A3 only needs to obtain the data through the edge cloud server a1, so as to avoid time delay caused by long-distance data transmission.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention provides an edge cloud industrial data management system and method based on a publish-subscribe mechanism and time delay analysis. Through data caching, the reliability of data reading is improved; all edge cloud servers subscribing to sensor data can cache one piece of sensor data, as long as the edge cloud server covering the sensor can perform one successful data transmission, and other edge cloud servers can still acquire the sensor data even if the edge cloud server fails. Under a group type industrial cloud organization structure, only one-time remote transmission is needed, and the data transmission cost and the time delay are reduced.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (4)
1. A method for managing edge cloud industrial data based on a publish-subscribe mechanism and time delay analysis is characterized by comprising the following steps: the management method comprises the following steps of,
s1, the time delay analysis module of each edge cloud server respectively sends the detection frame to other edge cloud servers, receives ark frames transmitted by the other edge cloud server, and analyzes the transmission time delay according to the sending time of the detection frame and the receiving time of ark frames; each edge cloud server acquires a time delay data table;
s2, the data management module of each edge cloud server respectively publishes local data publishing description and local data demand description to a remote cloud server, and the remote cloud server constructs a data subscription table according to the local data publishing description and the local data demand description sent by all the edge cloud servers;
s3, the data application modules of the edge cloud servers specifically access the corresponding data sources according to the data subscription table to obtain industrial field data;
the specific process of the data application module of a certain edge cloud server a accessing a certain data source Sensor according to the data subscription table is,
s31, the data application module of the edge cloud server A sends a command for reading the data source Sensor to the data management module of the edge cloud server A, the data management module of the edge cloud server A firstly judges whether the industrial field data of the data source Sensor is cached, if yes, the data management module of the edge cloud server A directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the edge cloud server A judges whether the data source Sensor is covered by the edge cloud server A or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server A sends a data acquisition instruction to the data source Sensor through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, and the 5G base station transmits the industrial field data to the edge cloud server A through the direct connection network; if not, returning that reading the data source Sensor fails, and the data application module of the edge cloud server A entering the step S32;
s32, the data application module of the edge cloud server A acquires all the remote edge cloud servers subscribing the data source Sensor according to the data subscription table; the data application module of the edge cloud server A sorts all the different-place edge cloud servers according to the time delay data table from small to large, and sends a command for reading a data source Sensor to the data management module of the different-place edge cloud servers in sequence;
the data management module of the remote edge cloud server B positioned in the first sequence firstly judges whether industrial field data of a data source Sensor are cached or not; if yes, the data management module of the remote edge cloud server B directly returns the cached industrial field data of the data source Sensor; if not, the data management module of the remote edge cloud server B judges whether the data source Sensor is covered by the edge cloud server B or not according to the ID of the data source Sensor;
if so, the data management module of the edge cloud server B sends a data acquisition instruction to the data source through the 5G base station, the data source Sensor transmits the acquired industrial field data to the 5G base station through the 5G, the 5G base station transmits the industrial field data to the edge cloud server B through the direct connection network, and the data management module of the edge cloud server B returns the read industrial field data of the data source Sensor and caches the industrial field data of the data source Sensor; if not, returning that the reading of the data source Sensor fails, and sending a command for reading the data source Sensor to the data management module of the next remote edge cloud server in the sequence by the data application module of the edge cloud server A, and so on until the data application module of the edge cloud server A reads the data source Sensor successfully.
2. The edge cloud industrial data management method based on the publish-subscribe mechanism and the time delay analysis according to claim 1, wherein: the local data publishing description comprises an ID of the data source, a device network address of the data source, a data type of the data source and a data description of the data source.
3. The edge cloud industrial data management method based on the publish-subscribe mechanism and the time delay analysis according to claim 1, wherein: the local data requirement description is that each edge cloud server acquires industrial field data of a data source governed by a certain edge cloud server according to the requirement of industrial data application deployed on the edge cloud server.
4. An edge cloud industrial data management system based on a publish-subscribe mechanism and time delay analysis is characterized in that: a management system for implementing the management method of any one of the preceding claims 1 to 3, the management system comprising
A data source; the system is used for acquiring industrial field data;
an edge cloud server; for deploying various industrial data applications;
a 5G base station; the system comprises an edge cloud server, a data source and a data processing module, wherein the edge cloud server is used for receiving industrial field data transmitted by the data source through 5G and uploading the industrial field data to the edge cloud server;
each edge cloud server is deployed in the 5G base station, and data transmission is carried out between the edge cloud servers and the 5G base station in a direct connection mode;
each of the edge cloud servers includes a server,
a delay analysis module; the data transmission delay time calculation method is used for calculating data transmission delay time between the edge cloud servers;
a data management module; the data publishing and subscribing and the data caching management are carried out;
a data application module; for accessing data sources that industrial data applications require access to.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106412048A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Information processing method and apparatus based on intelligent traffic cloud control system |
| CN106412049A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Intelligent traffic cloud control system |
| CN109787805A (en) * | 2018-11-16 | 2019-05-21 | 华北电力大学 | Intelligent household energy management system based on cloudy collaboration |
| KR102032931B1 (en) * | 2018-11-05 | 2019-10-16 | 경희대학교 산학협력단 | Method and system for allocating resource |
| CN111431986A (en) * | 2020-03-18 | 2020-07-17 | 宁波智诚祥科技发展有限公司 | Industrial intelligent quality inspection system based on 5G and AI cloud edge cooperation |
| CN111435923A (en) * | 2019-01-13 | 2020-07-21 | 强力物联网投资组合2016有限公司 | Method, system, kit and device for monitoring and managing an industrial environment |
| CN111447512A (en) * | 2020-03-09 | 2020-07-24 | 重庆邮电大学 | Energy-saving method for edge cloud unloading |
| CN111710122A (en) * | 2020-04-30 | 2020-09-25 | 国网天津市电力公司 | Safe power utilization management system based on ubiquitous power Internet of things |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9998346B2 (en) * | 2015-09-25 | 2018-06-12 | Brocade Communications Systems LLC | Fabric latency determination |
-
2020
- 2020-11-26 CN CN202011349458.XA patent/CN112468584B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106412048A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Information processing method and apparatus based on intelligent traffic cloud control system |
| CN106412049A (en) * | 2016-09-26 | 2017-02-15 | 北京东土科技股份有限公司 | Intelligent traffic cloud control system |
| KR102032931B1 (en) * | 2018-11-05 | 2019-10-16 | 경희대학교 산학협력단 | Method and system for allocating resource |
| CN109787805A (en) * | 2018-11-16 | 2019-05-21 | 华北电力大学 | Intelligent household energy management system based on cloudy collaboration |
| CN111435923A (en) * | 2019-01-13 | 2020-07-21 | 强力物联网投资组合2016有限公司 | Method, system, kit and device for monitoring and managing an industrial environment |
| CN111447512A (en) * | 2020-03-09 | 2020-07-24 | 重庆邮电大学 | Energy-saving method for edge cloud unloading |
| CN111431986A (en) * | 2020-03-18 | 2020-07-17 | 宁波智诚祥科技发展有限公司 | Industrial intelligent quality inspection system based on 5G and AI cloud edge cooperation |
| CN111710122A (en) * | 2020-04-30 | 2020-09-25 | 国网天津市电力公司 | Safe power utilization management system based on ubiquitous power Internet of things |
Non-Patent Citations (1)
| Title |
|---|
| 基于AI的5G网络切片管理技术研究;徐丹等;《电子技术应用》;20200106(第01期);全文 * |
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| CN112468584A (en) | 2021-03-09 |
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