CN115361363A - Edge calculation method of intelligent gateway - Google Patents
Edge calculation method of intelligent gateway Download PDFInfo
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Abstract
The application provides an edge computing method of an intelligent gateway, wherein at the current moment, a sensor of a sensing layer judges whether to send sensing data to the intelligent gateway of an edge computing layer, when the sensor of the sensing layer sends the sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer receives the sensing data and stores the sensing data as recording data, and when the sensor of the sensing layer does not send the sensing data to the intelligent gateway of the edge computing layer, the intelligent gateway of the edge computing layer computes the recording data at the current moment. The method and the device can reduce the storage capacity of the intelligent gateway, reduce the data communication traffic of the intelligent gateway and ensure the accuracy of the 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 in all corners of people's life. Various intelligent devices enter the Internet to be cloud, the data acquisition requirements of the devices are continuously increased, and the usability and the expandability 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 a data transmission intermediate link, and needs to support short-distance data transmission downwards, and needs to have the capacity of accessing the Ethernet upwards, so that the intelligent gateway can adapt to data transmission capacity among different networks. The edge calculation of the intelligent gateway enables the fields of local intelligent control service, intelligent data acquisition, data analysis, industrial intelligent manufacturing and the like to sink gradually, and cloud pressure is greatly relieved. However, various sensors in the sensing layer need to continuously acquire data, the acquired data has a large amount of repeated useless data, and if all the generated massive data are uploaded to the intelligent gateway for processing, communication resources of the intelligent gateway can be 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, and ensure the accuracy of the communication data becomes a technical problem to be solved at present.
Disclosure of Invention
In view of the above problems, the present application is provided 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 calculation method of an intelligent gateway, which comprises the following steps:
s1, judging whether to send sensing data x to the intelligent gateway of the edge computing layer or not by a sensor of a sensing layer at the current moment t t ；
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 It is stored as recording data u t ；
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 the recorded data u of the current moment t t ；
And S4, the intelligent gateway transmits the recorded data to a cloud platform for data processing and user interaction.
Further, step S1 specifically includes:
s11, the sensor of the sensing layer senses data x according to the previous N moments t-1 ，…，x t-N And calculating to obtain the calculation data p of the current time t t Wherein N is more than or equal to 1;
s12, acquiring the current moment in real time by a sensor of a sensing layert sensed data x t ；
Step S13, sensor calculation data p of a perception layer t And sensing data x t Difference value delta of t ；
Step S14, current difference value delta t When the sending threshold value is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to the intelligent gateway of the edge calculation layer t ；
Step S15, current difference value delta t When the sending threshold value is less than or equal to the sending threshold value, the sensor of the perception layer does not send sensing data x to the intelligent gateway of the edge calculation layer t 。
Further, the sensors of the sensing layer sense data x according to the first N moments t-1 ，…，x t-N Is calculated to obtain the calculation data p of the current moment t t 。
Further, the sensors of the sensing layer construct a linear function based on the sensed data x at the first N time instants t-1 ，…，x t-N Calculating to obtain the calculation data p of the current time t t 。
Further, the transmission threshold is set according to the degree of mutation of the sensed data.
Further, 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 Δ m in the corresponding time period, in which the sensed data x k 、x k-1 Sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, sensing data x received twice k 、x k-1 Calculating a mutation quantity delta x;
step S33, if the recorded data u before the current time t t-1 The sensing data directly received by the intelligent gateway, the recorded data u of the current moment t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 If the data is calculated by the intelligent gateway, the recorded data u of the current moment t t ＝u t-1 +(u t-1 -u t-2 )＝2u t-1 -u t-2 。
Further, the mutation amount Δ x = x k -x k-1 。
The beneficial effect of this application is:
the method and the device utilize the mutation degree of the sensing data to judge whether the sensing data is sent to the intelligent gateway or not so as to reduce the data communication traffic of the intelligent gateway and lighten the storage capacity of the intelligent gateway. When the intelligent gateway does not receive the sensing data, the recorded data is obtained by calculation by utilizing the recorded data variable quantity 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 in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a structural diagram of an internet of things architecture system provided in the present application;
fig. 2 is a flowchart of an edge computing method of an intelligent gateway provided in the present application;
fig. 3 is a flow chart of the operation of the sensor provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of 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, and "a plurality" typically includes at least two, but does not exclude the presence of at least one.
The method and the device utilize the mutation degree of the sensing data to judge whether the sensing data is sent to the intelligent gateway or not so as to reduce the data communication traffic of the intelligent gateway and lighten the storage capacity of the intelligent gateway. When the intelligent gateway does not receive the sensing data, the recorded data is obtained by calculation by utilizing the recorded data variable quantity before the current moment, so that the accuracy of the communication data is ensured.
The present application is further described with reference to the following figures and specific examples.
As shown in fig. 1, the present application provides an internet of things architecture system 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 sensing, measuring and collecting sensing data according to application requirements by various sensors of the sensing layer, and uploading 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 cloud platforms through network communication interfaces to provide computing, storing and communicating functions. The cloud platform of the cloud computing layer provides services such as centralized computing, storage and user interaction with a high degree of aggregation.
In the embodiment of the application, the intelligent gateway has an edge computing function, and is used for relieving 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 for an intelligent gateway, including the following steps:
s1, at the current moment t, judging whether to send sensing data x to an intelligent gateway of an edge computing layer or not by a sensor of a sensing layer t 。
Further, as shown in fig. 3, step S1 specifically includes:
s11, the sensor of the sensing layer senses data x according to the previous N moments t-1 ，…，x t-N And calculating to obtain the calculation data p of the current time t t Wherein N is more than or equal to 1;
in one embodiment of the present application, the sensors of the sensing layer may be based on the sensed data x of the first N time instants t-1 ，…，x t-N Is calculated to obtain the calculation data p of the current moment t t 。
In another embodiment of the present application, the sensors of the sensing layer may construct a linear function based on the sensed data x at the first N time instants t-1 ，…，x t-N And calculating to obtain the calculation data p of the current time t t 。
S12, acquiring the sensing data x of the current moment t by a sensor of a sensing layer in real time t ；
In one embodiment of the present application, the sensing data x t Digital values sampled for various types of sensors.
Step S13, sensor calculation data p of sensing layer t And sensing data x t Difference value delta of t ；
Step S14, current difference value delta t When the sending threshold value is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to the intelligent gateway of the edge computing layer t ；
In one embodiment of the present application, the transmission threshold may be set according to the degree of mutation of the sensed data.
Step S15, current difference value delta t When the sending threshold value is less than or equal to the sending threshold value, the sensor of the perception layer does not send the sensing data x to the intelligent gateway of the edge calculation layer t 。
Various sensors of the sensing layer sample surrounding environment or target parameters based on time, and a plurality of time periods exist, wherein the surrounding environment or the target parameters are unchanged or slowly changed, sensing data obtained by sampling are correspondingly unchanged or slowly changed, and the sensing data are repeatedly useless, and at the moment, the sensing data are repeatedly uselessOnly the sensing data at the initial moment need be sent to the intelligent gateway. Conversely, the sensed data is only useful when the ambient environment or the target parameter is more abrupt. The present application thus makes use of the sensed data x t Whether to send the sensing data to the intelligent gateway is judged according to the mutation degree of the intelligent gateway, so that the data communication quantity of the intelligent gateway is reduced, and the storage capacity of the intelligent gateway is lightened.
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 It is stored as recording data u t ；
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 the recorded data u of the current moment t t 。
Further, 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 Δ m within the corresponding time period, in which the sensed data x k 、x k-1 Sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, sensing data x received twice is used for obtaining the sensing data x k 、x k-1 Calculating a mutation quantity delta x;
in one embodiment of the present application, the amount of mutation Δ x = x k -x k-1 。
Step S33, if the recorded data u before the current time t t-1 If the sensing data is directly received by the intelligent gateway, the recorded data u of the current moment t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 The recorded data u of the current moment t is obtained by the calculation of the intelligent gateway 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 recorded data, and when the intelligent gateway does not receive the sensing data, the recorded data is obtained by calculation by using the recorded data variable quantity 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 communication traffic of the intelligent gateway can be reduced, and the storage capacity of the intelligent gateway is reduced.
In another embodiment of the present application, an edge computing method for an intelligent gateway further includes:
and S4, the intelligent gateway transmits the recorded data to a cloud platform for data processing and user interaction.
The foregoing description shows and describes several preferred embodiments of the present application, but as aforementioned, it is to be understood that the application is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the application, which is to be protected by the claims appended hereto.
Claims (7)
1. An edge computing method of an intelligent gateway, the edge computing method comprising the steps of:
s1, at the current moment t, judging whether to send sensing data x to an intelligent gateway of an edge computing layer or not by a sensor of a sensing layer t ；
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 It is stored as recording data u t ；
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 the recorded data u of the current moment t t ；
And S4, the intelligent gateway transmits the recorded data to a cloud platform for data processing and user interaction.
2. The edge calculation method according to claim 1, wherein step S1 specifically comprises:
s11, the sensor of the perception layer senses data x according to the first N moments t-1 ，…，x t-N Calculating to obtain the calculation data p of the current time t t Wherein N is more than or equal to 1;
s12, acquiring the sensing data x of the current moment t by the sensor of the sensing layer in real time t ；
Step S13, sensor calculation data p of sensing layer t And sensing data x t Difference value delta of t ；
Step S14, current difference value delta t When the sending threshold value is larger than the sending threshold value, the sensor of the perception layer sends sensing data x to the intelligent gateway of the edge computing layer t ；
Step S15, current difference value delta t When the sending threshold value is less than or equal to the sending threshold value, the sensor of the perception layer does not send the sensing data x to the intelligent gateway of the edge calculation layer t 。
3. The edge calculation method according to claim 2, wherein the sensors of the sensing layer sense data x from the first N time instants t-1 ，…，x t-N Is calculated to obtain the calculation data p of the current moment t t 。
4. The edge calculation method of claim 2, wherein the sensors of the sensing layer construct a linear function based on the sensed data x of the first N time instants t-1 ，…，x t-N Calculating to obtain the calculation data p of the current time t t 。
5. The edge calculation method according to claim 2, wherein the transmission threshold is set according to a degree of abrupt change of the sensed data.
6. The edge calculation method according to claim 1, wherein step S3 specifically includes:
step S31, searching sensing data x received by the intelligent gateway twice k 、x k-1 And the number of recorded data Δ m in the corresponding time period, in which the sensed data x k 、x k-1 Sensing data received by the intelligent gateway for the last two times before the current time t;
step S32, sensing data x received twice is used for obtaining the 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 The sensing data directly received by the intelligent gateway, the recorded data u of the current moment t t ＝u t-1 +Δx/Δm；
Step S34, if the recorded data u before the current time t t-1 If the data is calculated by the intelligent gateway, the recorded data u of the current moment t t ＝u t-1 +(u t-1 -u t-2 )＝2u t-1 -u t-2 。
7. The edge calculation method according to claim 6, wherein the amount of mutation Δ x = x k -x k-1 。
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