CN111580984A - Data processing method, system, storage medium, computer program and terminal - Google Patents
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Abstract
The invention belongs to the technical field of data processing of the Internet of things, and discloses a data processing method, a system, a storage medium, a computer program and a terminal, wherein the data processing method comprises the following steps: various heterogeneous nodes upload data to corresponding intelligent gateways; the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center; the data stream is uploaded to a cloud for backup or large data calculation which cannot be calculated at a gateway is executed while fog calculation is performed. The invention solves the problems that the traditional cloud computing platform has high time delay and cannot feed back data in real time and the middleware related to medical equipment is placed at the cloud end, so that the information is delayed and even the safety of a patient is endangered. The invention aims to shorten the processing time delay of data generated by the heterogeneous node, and the high performance of cloud processing is also exerted while the timely feedback is ensured.
Description
Technical Field
The invention belongs to the technical field of data processing of the Internet of things, and particularly relates to a data processing method, a data processing system, a storage medium, a computer program and a terminal.
Background
With the development of the internet of things, various end devices are accessed to the internet of things, the quantity of uploaded data is large, the data types are diversified, and in order to solve the problem that the formats of uploaded data of heterogeneous nodes are not uniform, a middleware system is generally adopted in the prior art to achieve data preprocessing and application interoperation. However, the prior art has the defects that most middleware systems are placed in the cloud, have higher time delay in the data transmission processing stage, and cannot meet certain application scenarios, such as real-time monitoring of various physiological indexes of a human body by portable medical equipment. The reason for the defect is mainly that all data are uniformly delivered to the cloud processor and are not distinguished according to the timeliness requirement. Only the feasibility of data processing is ensured, but the timeliness is ignored.
The difficulty in solving the problems and the defects is mainly that the traditional edge node has limited computing capacity, and if the middleware is deployed at the gateway of the traditional internet of things, the expected timely feedback effect cannot be achieved, and even the basic data processing task cannot be completed.
The significance of solving the above problems and defects is mainly divided into two points: firstly, data with high real-time requirements are separated from the whole data stream, and corresponding operations are executed aiming at different data. Secondly, rely on existing equipment, for example: and the MDC and the FSG make up for the technical defects by utilizing the updating of hardware so as to update the traditional design scheme to adapt to a more specific application scene.
Disclosure of Invention
The invention provides a data processing method, a system, a storage medium, a computer program and a terminal, aiming at the problems in the prior art.
The present invention is achieved as such, a data processing method including:
the method comprises the following steps that firstly, various heterogeneous nodes upload data to corresponding intelligent gateways;
and secondly, preprocessing uploaded data by the middleware at the gateway, specifically, identifying different data by various heterogeneous nodes according to the time-effect priority order and then uploading the data to the corresponding intelligent gateway, setting a threshold value in advance by the middleware at the gateway to judge the identified data, and processing a part of data with high delay requirement by the micro data center. The specific solution is that multi-protocol binding is realized at a unified protocol interface as a southbound interface using protocols such as WIFI, Bluetooth and serial ports, the unified API calls a proxy API to provide access to Internet of things data, and the middleware sends the data back to the medical equipment through the southbound interface by using a post method using an HTTP protocol based on a request response model, thereby completing data operation.
And thirdly, uploading the data stream to a cloud for backup or executing traditional big data calculation which cannot be realized at a gateway while performing fog calculation. The advantages of the conventional scheme are retained.
Further, a heterogeneous network formed by bottom-layer equipment of the data processing method generates a large amount of data flow to be uploaded to an intelligent gateway FSG based on fog computing.
Furthermore, the middleware of the data processing method, which is located at the gateway, preprocesses the data stream and delivers the data stream to the micro data center, and the micro data center processes some data with low time delay requirements and reverses the data in time.
Further, the bottom layer device of the data processing method responds to the data fed back by the gateway according to a threshold value set in advance.
Furthermore, the intelligent gateway and the micro data center of the data processing method upload data to the cloud while returning the data.
It is another object of the present invention to provide a program storage medium for receiving user input, the stored computer program causing an electronic device to perform the steps comprising:
the method comprises the following steps that firstly, various heterogeneous nodes upload data to corresponding intelligent gateways;
secondly, the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center;
and thirdly, uploading the data stream to a cloud for backup or executing big data calculation which cannot be calculated at a gateway while performing fog calculation.
It is a further object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing said data processing method when executed on an electronic device.
Another object of the present invention is to provide a data processing system for implementing the data processing method, the data processing system comprising:
the data uploading module is used for uploading data to the corresponding intelligent gateway by various heterogeneous nodes;
the real-time feedback module is used for realizing that the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center;
and the big data calculation module is used for uploading the data stream to a cloud for backup or executing big data calculation which cannot be calculated at the gateway while performing fog calculation.
Another object of the present invention is to provide a data processing apparatus mounted with the data processing system, the data processing apparatus comprising: the system comprises bottom equipment, an intelligent gateway, a micro data center and a cloud end;
the bottom layer equipment is connected with the micro data center, and the intelligent gateway and the micro data center are connected with the cloud.
Another object of the present invention is to provide a terminal, which mounts the data processing system.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention mainly relates to a functional method for combining a Micro Data Center (MDC) and an intelligent Gateway (Fog Smart Gateway (FSG)). The equipment used by the invention is a miniature data center: a miniature data center (also referred to as a modular or micro-modular data center) is a small, stand-alone version of a traditional data center. The independence of the miniature data center itself, as well as its robustness, flexibility, and portability, makes the miniature data center an ideal choice for deployment based on fog computing centers. Due to the small size, the miniature data center has lower deployment cost than the traditional large data center. Given that miniature data centers are prefabricated, they are much smaller in size than conventional data centers, which also tends to be more cost effective. Deployment times are faster. The intelligent gateway: the internet of things gateway with the ultra-strong edge computing capability processes nearby through the transfer of the data processing permission. The problem that remote communication transmission is not smooth is not needed to be worried about, and the gateway of the Internet of things has great functional advantages relative to the gateway of the common Internet of things. Fog computing is computing at the edge of the network, equivalent to descending cloud computing closer to the underlying devices. However, unlike cloud computing, which requires data to be transmitted to a cloud-based data center for processing in data transmission, fog computing employs data processing at a network edge, such as a gateway. So that the data transmission is real-time.
The invention solves the problems that the traditional cloud computing platform has high time delay and cannot feed back data in real time and the middleware related to medical equipment is placed at the cloud end, so that the information is delayed and even the safety of a patient is endangered. The invention aims to shorten the processing time delay of data generated by the heterogeneous node, and the high performance of cloud processing is also exerted while the timely feedback is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention.
FIG. 2 is a block diagram of a data processing system according to an embodiment of the present invention;
in the figure: 1. a data uploading module; 2. a real-time feedback module; 3. big data calculation module.
Fig. 3 is a flowchart of an implementation of a data processing method according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a data processing system provided by an embodiment of the present invention.
FIG. 5 is a graphical representation of experimental proof data for 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 with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The new improved scheme is as follows: an AMQP proxy may be added to support AMQP messaging between medical devices to enable intercommunication between HTTP and AMQP for interoperability.
In view of the problems in the prior art, the present invention provides a data processing method, a system, a storage medium, a computer program, and a terminal, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the data processing method provided by the present invention includes the following steps:
s101: various heterogeneous nodes upload data to corresponding intelligent gateways;
s102: the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center;
s103: the data stream is uploaded to a cloud for backup or large data calculation which cannot be calculated at a gateway is executed while fog calculation is performed.
As shown in fig. 2, the data processing system provided by the present invention includes:
and the data uploading module 1 is used for uploading data to the corresponding intelligent gateways by various heterogeneous nodes.
And the real-time feedback module 2 is used for realizing that the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after being processed by the micro data center.
And the big data calculation module 3 is used for uploading the data stream to a cloud for backup or executing big data calculation which cannot be calculated at a gateway while performing fog calculation.
The technical solution of the present invention is further described below with reference to the accompanying drawings.
As shown in fig. 3, the data processing method provided by the present invention includes the following steps:
step one, a heterogeneous network formed by bottom-layer equipment generates a large amount of data flow and uploads the data flow to an intelligent gateway FSG based on fog calculation;
and step two, preprocessing the data stream by the middleware at the gateway and delivering the data stream to the micro data center. The micro data center processes data with low time delay requirements and reverses the data in time;
thirdly, the bottom layer equipment responds to the data fed back by the gateway according to a threshold value set in advance;
and fourthly, uploading the data to the cloud end while returning the data by the fog end (namely the intelligent gateway and the miniature data center), wherein the computing capacity at the gateway is limited and needs to be supplemented by the computing capacity of cloud computing.
As shown in fig. 5, the round trip delay of the middleware deployed at the edge is significantly lower than that of the middleware deployed at the cloud. The scheme is proved to be capable of effectively improving the data processing speed.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data processing method, characterized in that the data processing method comprises:
the method comprises the following steps that firstly, various heterogeneous nodes upload data to corresponding intelligent gateways;
secondly, the middleware at the gateway preprocesses the uploaded data, the middleware at the gateway can set a threshold value in advance to judge the data with the identifier, and a part of data with high delay requirement is processed by the micro data center; the method comprises the following steps that multi-protocol binding is realized at a unified protocol interface to serve as a southbound interface using WIFI, Bluetooth and various protocols of a serial port, the unified API calls a proxy API to provide access to Internet of things data, and the middleware sends the data back to medical equipment through the southbound interface by using a post method by using an HTTP (hyper text transport protocol) based on a request response model to complete data operation;
and thirdly, uploading the data stream to a cloud for backup or executing traditional big data calculation which cannot be realized at a gateway while performing fog calculation.
2. The data processing method of claim 1, wherein a heterogeneous network of underlying devices of the data processing method generates a large amount of data flow to be uploaded to an intelligent gateway (FSG) based on fog computing.
3. The data processing method according to claim 1, wherein middleware at the gateway of the data processing method preprocesses the data stream and delivers the data stream to a micro data center, and the micro data center processes and feeds back some data with low delay requirement in time.
4. The data processing method of claim 1, wherein a bottom layer device of the data processing method responds to data fed back at the gateway according to a threshold value set in advance.
5. The data processing method of claim 1, wherein the intelligent gateway and the micro data center of the data processing method upload data to a cloud while returning the data.
6. A program storage medium for receiving user input, the stored computer program causing an electronic device to perform the steps comprising:
the method comprises the following steps that firstly, various heterogeneous nodes upload data to corresponding intelligent gateways;
secondly, the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center;
and thirdly, uploading the data stream to a cloud for backup or executing big data calculation which cannot be calculated at a gateway while performing fog calculation.
7. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a data processing method according to any one of claims 1 to 6 when executed on an electronic device.
8. A data processing system for implementing the data processing method of any one of claims 1 to 6, the data processing system comprising:
the data uploading module is used for uploading data to the corresponding intelligent gateway by various heterogeneous nodes;
the real-time feedback module is used for realizing that the middleware at the gateway preprocesses the uploaded data and feeds back a part of data with high time delay requirement in real time after the part of data is processed by the micro data center;
and the big data calculation module is used for uploading the data stream to a cloud for backup or executing big data calculation which cannot be calculated at the gateway while performing fog calculation.
9. A data processing apparatus on which the data processing system of claim 8 is mounted, the data processing apparatus comprising: the system comprises bottom equipment, an intelligent gateway, a micro data center and a cloud end;
the bottom layer equipment is connected with the micro data center, and the intelligent gateway and the micro data center are connected with the cloud.
10. A terminal, characterized in that the terminal is equipped with a data processing system according to claim 8.
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