CN115361363B - Edge computing method of intelligent gateway - Google Patents
Edge computing method of intelligent gateway Download PDFInfo
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- CN115361363B CN115361363B CN202211018382.1A CN202211018382A CN115361363B CN 115361363 B CN115361363 B CN 115361363B CN 202211018382 A CN202211018382 A CN 202211018382A CN 115361363 B CN115361363 B CN 115361363B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/10—Architectures or entities
- H04L65/102—Gateways
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application provides an edge computing method of an intelligent gateway, wherein a sensor of a sensing layer judges whether to send sensing data to the intelligent gateway of the edge computing layer at the current moment, the intelligent gateway of the edge computing layer receives the sensing data and stores the sensing data as recording data when the sensor of the sensing layer sends the sensing data to the intelligent gateway of the edge computing layer, and the intelligent gateway of the edge computing layer calculates the recording data at the current moment when the sensor of the sensing layer does not send the sensing data to the intelligent gateway of the edge computing layer. The application can lighten the storage capacity of the intelligent gateway, reduce the data traffic of the intelligent gateway and ensure the accuracy of communication data.
Description
Technical Field
The application relates to the technical field of computers, in particular to an edge computing method of an intelligent gateway.
Background
With the continuous development of the internet of things technology, the world is gradually entering a new era of ' everything interconnection ', and the internet of things technology is spread over all corners of people's life. Various intelligent devices are connected to the Internet to cloud, the data acquisition requirements of the devices are continuously increased, and the usability and the expansibility of the whole system can be improved by pushing the data to intelligent gateways at the edge of the Internet for preprocessing.
The intelligent gateway is used as an intermediate link of data transmission, downward data transmission with short distance is supported, and upward data transmission capability of different networks can be adapted to the capability of accessing the Ethernet. The edge calculation of the intelligent gateway gradually sinks the fields of local intelligent control service, intelligent data acquisition, data analysis, industrial intelligent manufacturing and the like, and the cloud pressure is greatly relieved. However, various sensors of the sensing layer need to continuously collect data, a large amount of repeated useless data exists in the collected data, and if all the generated massive data are uploaded to the intelligent gateway for processing, communication resources of the intelligent gateway are seriously occupied, and huge pressure is brought to the storage capacity of the intelligent gateway.
Therefore, how to effectively reduce the storage capacity of the intelligent gateway, reduce the data traffic of the intelligent gateway, ensure the accuracy of communication data, and become a technical problem to be solved at present.
Disclosure of Invention
The present application has been made in view of the above problems, and an object of the present application is to provide an edge computing method for an intelligent gateway, which is used to reduce the storage capacity of the intelligent gateway, reduce the data traffic of the intelligent gateway, and ensure the accuracy of the communication data.
The application provides an edge computing method of an intelligent gateway, which comprises the following steps:
step S1, at the current time t, a sensor of a sensing layer judges whether to send sensing data x to an intelligent gateway of an edge computing layer t ；
Step S2, when the sensor of the sensing layer sends sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer receives the sensing data x t Save it as recorded data u t ；
Step S3, when the sensor of the sensing layer does not send sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer computes recorded data u at the current time t t ；
And S4, the intelligent gateway transmits the recorded data to the cloud platform so as to perform data processing and user interaction.
Further, the step S1 specifically includes:
step S11, the sensor of the sensing layer senses data x according to the previous N moments t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t Wherein N is more than or equal to 1;
step S12, the sensor of the sensing layer acquires the sensing data x at the current time t in real time t ；
Step S13, sensor calculation data p of the sensing layer t And sensing data x t Delta of the difference of (d) t ；
Step S14, when the difference delta t When the sensor of the perception layer is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to an intelligent gateway of the edge computing layer t ；
Step S15, when the difference delta t When the transmission threshold value is smaller than or equal to the transmission threshold value, the sensor of the perception layer does not transmit the sensing data x to the intelligent gateway of the edge computing layer t 。
Further, the sensor of the sensing layer senses data x according to the first N times t-1 ，…，x t-N Calculating the average value of the current time t to obtain the calculated data p t 。
Further, the sensor of the sensing layer constructs a linear function based on the sensed data x of the first N moments t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t 。
Further, the transmission threshold is set according to the mutation degree of the sensing data.
Further, the step S3 specifically includes:
step S31, searching the sensing data x received by the intelligent gateway twice k 、x k-1 And the number of recorded data Δm in the corresponding time period, in which the data x is sensed k 、x k-1 The sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, according to the twice received sensing data x k 、x k-1 Calculating a mutation quantity delta x;
step S33, if the recorded data u before the current time t t-1 Is the sensing data directly received by the intelligent gateway, the recorded data u at the current time t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 Is calculated by the intelligent gateway, the recorded data u of the current time t t ＝u t-1 +(u t-1 -u t-2 )＝2u t-1 -u t-2 。
Further, the mutation amount Δx=x k -x k-1 。
The beneficial effects of the application are as follows:
the application judges whether to send the sensing data to the intelligent gateway by utilizing the mutation degree of the sensing data so as to reduce the data traffic of the intelligent gateway and lighten the storage capacity of the intelligent gateway. When the intelligent gateway directly receives the sensing data, the sensing data is directly stored as the recording data, and when the intelligent gateway does not receive the sensing data, the recording data is obtained by calculation by utilizing the change quantity of the recording data before the current moment, so that the accuracy of the communication data is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram of an architecture system of an Internet of things provided by the application;
fig. 2 is a flowchart of an edge computing method of an intelligent gateway provided by the present application;
FIG. 3 is a flow chart of the operation of the sensor provided by the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, the "plurality" generally includes at least two, but does not exclude the case of at least one.
The application judges whether to send the sensing data to the intelligent gateway by utilizing the mutation degree of the sensing data so as to reduce the data traffic of the intelligent gateway and lighten the storage capacity of the intelligent gateway. When the intelligent gateway directly receives the sensing data, the sensing data is directly stored as the recording data, and when the intelligent gateway does not receive the sensing data, the recording data is obtained by calculation by utilizing the change quantity of the recording data before the current moment, so that the accuracy of the communication data is ensured.
The application will be further described with reference to the drawings and the specific examples.
As shown in fig. 1, the present application provides an architecture system of internet of things with an intelligent gateway. The architecture system of the Internet of things comprises various sensors of a sensing layer, an intelligent gateway of an edge computing layer and a cloud platform of a cloud computing layer.
And various sensors of the sensing layer sense, measure and collect sensing data according to application requirements, and upload the sensing data to the intelligent gateway. The intelligent gateway of the edge computing layer is positioned at the edge of the Internet of things, and is connected with various sensors and the cloud platform through network communication interfaces to provide computing, storage and communication functions. The cloud platform of the cloud computing layer provides services such as centralized computing, storage, user interaction and the like with high aggregation degree.
In this embodiment of the present application, the intelligent gateway has an edge computing function for reducing the storage capacity of the intelligent gateway and reducing the data traffic of the intelligent gateway.
As shown in fig. 2, the present application further provides an edge computing method of an intelligent gateway, which includes the following steps:
step S1, at the current time t, a sensor of a sensing layer judges whether to send sensing data x to an intelligent gateway of an edge computing layer t 。
Further, as shown in fig. 3, step S1 specifically includes:
step S11, the sensor of the sensing layer senses data x according to the previous N moments t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t Wherein N is more than or equal to 1;
in one embodiment of the application, the sensor of the sense layer may be based on the sensed data x of the first N times t-1 ，…，x t-N Calculating the average value of the current time t to obtain the calculated data p t 。
In another embodiment of the application, the sensor of the sense layer may construct a linear function based on the sensed data x of the first N moments t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t 。
Step S12, the sensor of the sensing layer acquires the sensing data x at the current time t in real time t ；
In one embodiment of the application, data x is sensed t Digital values sampled for various types of sensors.
Step S13, sensor calculation data p of the sensing layer t And sensing data x t Delta of the difference of (d) t ；
Step S14, when the difference delta t When the sensor of the perception layer is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to an intelligent gateway of the edge computing layer t ；
In one embodiment of the application, the transmission threshold may be set according to the degree of mutation of the sensed data.
Step S15, when the difference delta t When the transmission threshold value is smaller than or equal to the transmission threshold value, the sensor of the perception layer does not transmit the sensing data x to the intelligent gateway of the edge computing layer t 。
Various sensors of the sensing layer sample the surrounding environment or target parameters based on time, and a plurality of time periods exist, wherein the surrounding environment or target parameters are unchanged or slowly changed, the sampled sensing data are correspondingly unchanged or slowly changed, the sensing data are repeatedly useless, and only the sensing data at the initial moment are required to be sent to the intelligent gateway. In contrast, the sensed data is useful when the surrounding or target parameters are mutated to a large extent. The present application thus utilizes the sensed data x t To determine whether to send sensing data to the intelligent gateway to reduce data traffic of the intelligent gateway and to reduce storage capacity of the intelligent gateway.
Step S2, when the sensor of the sensing layer sends sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer receives the sensing data x t Save it as recorded data u t ；
Step S3, when the sensor of the sensing layer does not send sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer computes recorded data u at the current time t t 。
Further, the step S3 specifically includes:
step S31, searching the sensing data x received by the intelligent gateway twice k 、x k-1 And the number of recorded data Δm in the corresponding time period, in which the data x is sensed k 、x k-1 The sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, according to the twice received sensing data x k 、x k-1 Calculating a mutation quantity delta x;
in one embodiment of the application, the mutation amount Δx=x k -x k-1 。
Step S33, if the recorded data u before the current time t t-1 Is the sensing data directly received by the intelligent gateway, the recorded data u at the current time t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 Is calculated by the intelligent gateway, the recorded data u of the current time t t ＝u t-1 +(u t-1 -u t-2 )＝2u t-1 -u t-2 。
In the application, when the intelligent gateway directly receives the sensing data, the sensing data is directly stored as the recording data, and when the intelligent gateway does not receive the sensing data, the recording data is obtained by calculation by utilizing the change quantity of the recording data before the current moment, so that the accuracy of the communication data is ensured. Meanwhile, the intelligent gateway does not receive the sensing data in real time, so that the data traffic of the intelligent gateway can be reduced, and the storage capacity of the intelligent gateway is lightened.
In another embodiment of the present application, an edge computing method of an intelligent gateway further includes:
and S4, the intelligent gateway transmits the recorded data to the cloud platform so as to perform data processing and user interaction.
While the foregoing description illustrates and describes the preferred embodiments of the present application, it is to be understood that the application is not limited to the forms disclosed herein, but is not to be construed as limited to other embodiments, and is capable of numerous other combinations, modifications and environments and is capable of changes or modifications within the scope of the inventive concept as described herein, either as a result of the foregoing teachings or as a result of the knowledge or technology in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the application are intended to be within the scope of the appended claims.
Claims (4)
1. An edge computing method of an intelligent gateway is characterized by comprising the following steps:
step S1, at the current time t, a sensor of a sensing layer judges whether to send sensing data x to an intelligent gateway of an edge computing layer t ；
Step S2, when the sensor of the sensing layer sends sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer receives the sensing data x t Save it as recorded data u t ；
Step S3, when the sensor of the sensing layer does not send sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer computes recorded data u at the current time t t ；
S4, the intelligent gateway transmits the recorded data to the cloud platform for data processing and user interaction;
the step S1 specifically comprises the following steps:
step S11, the sensor of the sensing layer senses data x according to the previous N moments t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t Wherein N is more than or equal to 1;
step S12, the sensor of the sensing layer acquires the sensing data x at the current time t in real time t ；
Step S13, sensor calculation data p of the sensing layer t And sensing data x t Is the difference of (2)δ t ；
Step S14, when the difference delta t When the sensor of the perception layer is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to an intelligent gateway of the edge computing layer t ；
Step S15, when the difference delta t When the transmission threshold value is smaller than or equal to the transmission threshold value, the sensor of the perception layer does not transmit the sensing data x to the intelligent gateway of the edge computing layer t ；
Wherein, the sending threshold value is set according to the mutation degree of the sensing data;
the step S3 specifically comprises the following steps:
step S31, searching the sensing data x received by the intelligent gateway twice k 、x k-1 And the number of recorded data Δm in the corresponding time period, in which the data x is sensed k 、x k-1 The sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, according to the twice received sensing data x k 、x k-1 Calculating a mutation quantity delta x;
step S33, if the recorded data u before the current time t t-1 Is the sensing data directly received by the intelligent gateway, the recorded data u at the current time t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 Is calculated by the intelligent gateway, the recorded data u of the current time t t ＝u t-1 +(u t-1 -u t-2 )＝2u t-1 -u t-2 ；
When the intelligent gateway directly receives the sensing data, the sensing data is stored as recording data, and when the intelligent gateway does not receive the sensing data, the recording data is obtained by calculation by utilizing the change quantity of the recording data before the current moment, so that the accuracy of the communication data is ensured.
2. The edge computing method according to claim 1, wherein the sensor of the sensing layer is based on the sensing data x of the first N times t-1 ，…，x t-N Calculating the average value of the current time t to obtain the calculated data p t 。
3. The edge computing method of claim 1, wherein the sensor of the sense layer constructs a linear function based on the sensed data x of the first N times t-1 ，…，x t-N Calculating to obtain calculation data p of current time t t 。
4. The edge computing method according to claim 1, wherein the mutation amount Δx=x k -x k-1 。
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