CN116546046A - Data transmission processing method, device, control equipment and storage medium - Google Patents

Data transmission processing method, device, control equipment and storage medium Download PDF

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Publication number
CN116546046A
CN116546046A CN202310487286.XA CN202310487286A CN116546046A CN 116546046 A CN116546046 A CN 116546046A CN 202310487286 A CN202310487286 A CN 202310487286A CN 116546046 A CN116546046 A CN 116546046A
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data
field device
edge
iot
device data
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陈继
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Shenzhen Kaihong Digital Industry Development Co Ltd
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Shenzhen Kaihong Digital Industry Development Co Ltd
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Priority to CN202310487286.XA priority Critical patent/CN116546046A/en
Publication of CN116546046A publication Critical patent/CN116546046A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer And Data Communications (AREA)

Abstract

The application discloses a data transmission processing method, a device, control equipment and a storage medium, wherein the method comprises the following steps: acquiring field device data reported by a field device and collected by a sensor; determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies; and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so that the edge IOT can process the field device data, thereby improving the efficiency of data processing.

Description

Data transmission processing method, device, control equipment and storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a data transmission processing method, a device, a control device, and a storage medium.
Background
With the development of the internet of things and the deep development of cloud computing, in order to meet the requirements of wider connection, lower time delay and easier control of scenes such as AR (Augmented Reality), virtual Reality (VR), industrial internet and the like, the cloud computing is gradually distributed to the edge side, and cloud edge cooperation becomes a better solution for processing distributed data. At present, the report of mass data occupies the bandwidth of an information transmission network, and the problem of network delay occurs, so that the data processing is unstable and has low efficiency.
Therefore, how to improve the efficiency of data processing is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a data transmission processing method, a data transmission processing device, control equipment and a storage medium, which can improve the efficiency of data processing.
In a first aspect, an embodiment of the present application provides a data transmission processing method, where the data transmission processing method includes:
acquiring field device data reported by a field device and collected by a sensor;
determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies;
and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data.
In a second aspect, embodiments of the present application further provide a data transmission processing apparatus, where the data transmission processing apparatus includes a processor and a memory;
the memory is used for storing a computer program executable by the processor;
the processor is configured to execute the computer program and implement the data transmission processing method when executing the computer program.
In a third aspect, an embodiment of the present application further provides a control device, where the control device includes a data transmission processing apparatus as described above.
In a fourth aspect, embodiments of the present application further provide a storage medium, where the storage medium is configured to store a computer program, where the computer program when executed by a processor causes the processor to implement the above-mentioned data transmission processing method.
The embodiment of the application provides a data transmission processing method, a device, a control device and a storage medium, wherein the data type of field device data is determined by acquiring field device data which is reported by field devices and is collected by a sensor, different data transmission strategies are preconfigured for the field device data with different data types, the field device data are transmitted to an edge IOT (Internet of things) by adopting the corresponding data transmission strategies according to the data types of the field device data, and the edge IOT performs data processing on the field device data. And for different types of data, the data is subjected to differentiated reporting, so that the problems of occupying network bandwidth and network time delay caused by mass data transmission are solved, and the data processing efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a conventional cloud-edge collaborative IOT data processing system;
fig. 2 is a schematic flowchart of steps of a data transmission processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an IOT data processing system with cloud edge collaboration according to an embodiment of the present application;
fig. 4 is a schematic flow chart of a data transmission process according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of steps for transmitting the field device data to an IOT (Internet of things) at an edge according to an embodiment of the present application;
fig. 6 is a schematic diagram of cloud-edge cooperative data transmission processing interaction provided in an embodiment of the present application;
fig. 7 is a schematic block diagram of a data transmission processing apparatus provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be noted that the description herein of "first," "second," etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implying an indication of the number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," and the like in various places are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be regarded as not exist and not within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
With the development of the internet of things and the deep development of cloud computing, in order to meet the requirements of wider connection, lower time delay and easier control of scenes such as AR (Augmented Reality), virtual Reality (VR), industrial internet and the like, the cloud computing is gradually distributed to the edge side, and cloud edge cooperation becomes a better solution for processing distributed data. The existing cloud-edge collaborative IOT (Internet of Things ) data analysis processing architecture is shown in fig. 1, and comprises field devices, edge gateways, edge IOT and cloud IOT, wherein data generated by the field devices are transmitted to the edge gateways, protocol analysis, data conversion and data transmission of the data are realized in the edge gateways through lightweight computing frameworks, the edge IOT performs redundant data elimination on the generated mass data, and the edge IOT uploads the preprocessed data to a cloud IOT platform for cloud data analysis and processing.
And reporting mass data, occupying the bandwidth of an information transmission network, and causing the problem of network delay, thereby causing unstable data processing and low efficiency.
In order to solve the above problems, embodiments of the present application provide a data transmission processing method, apparatus, control device, and storage medium, where the method includes: acquiring field device data reported by a field device and collected by a sensor; determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies; and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data. And for different types of data, the data is subjected to differentiated reporting, so that the problems of occupying network bandwidth and network time delay caused by mass data transmission are solved, and the data processing efficiency is improved.
Referring to fig. 2, fig. 2 is a flow chart of a data transmission processing method according to an embodiment of the present application, where the method may be applied to a control device to implement processing of various types of data.
As shown in fig. 2, the data transmission processing method provided in the embodiment of the present application includes steps S101 to S103.
S101, acquiring field device data which are reported by a field device and are collected by a sensor.
In this embodiment, a control device is provided between the field device and the edge IOT to provide a stable and efficient data-differentiated reporting solution. Wherein the control device includes, but is not limited to, a controller.
The controller may be disposed in the field device, or the controller may be disposed between the field device and the edge gateway, for example.
It will be appreciated that the corresponding sensors will also be different for different field devices and that the data collected by the sensors will be different accordingly.
After the field device data are collected by the sensor, the field device reports the field device data to the controller. The data types of the field device data may include a plurality of types. Illustratively, the data types of field device data include, but are not limited to, device attribute data, alarm data, and the like.
S102, determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies.
After the field device data reported by the field device is acquired, the data type of the field device data is first determined. For example, it is determined whether the field device data is alarm data or device attribute data.
Illustratively, the controller incorporates a corresponding processing component by which it is determined whether the data type of the field device data is alarm data or device attribute data.
Illustratively, data transmission policies corresponding to field device data of different data types are preconfigured. For example, a first data transmission policy corresponding to the alarm data is configured, and a second data transmission policy corresponding to the device attribute data is configured.
For example, the first data transmission policy corresponding to the configuration alarm data is real-time reporting, and the second data transmission policy corresponding to the configuration device attribute data is timing reporting.
In one case, if the data type of the field device data is alarm data, determining that the field device data corresponds to a first data transmission policy. In another case, if the data type of the field device data is device attribute data, determining that the field device data corresponds to a second data transmission policy.
S103, according to the data type of the field device data, transmitting the field device data to an edge IOT (Internet of things) by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data.
For example, if the data type of the field device data is alarm data, it is determined that the field device data corresponds to a first data transmission policy, and the field device data is transmitted to the edge IOT based on the first data transmission policy. After the edge IOT receives the field device data, the edge IOT performs corresponding data analysis and other processes on the field device data, and further performs data collaborative operation in the next step.
For example, if the data type of the field device data is device attribute data, it is determined that the field device data corresponds to a second data transmission policy, and the field device data is transmitted to the edge IOT based on the second data transmission policy. After the edge IOT receives the field device data, the edge IOT performs corresponding data processing on the field device data.
In some embodiments, the transmitting the field device data to the internet of things IOT at the edge according to the data type of the field device data by adopting a corresponding data transmission policy includes:
if the field device data are device attribute data, caching the field device data;
and sending the cached field device data to the edge IOT at regular time according to a preset period time.
For example, the period time corresponding to the data timing transmission is preset, and it should be noted that the period time may be flexibly set according to the actual situation, which is not limited herein.
And if the data type of the field device data is the device attribute data, caching the field device data. And based on a preset cycle time, all field device data buffered during the cycle time are sent to the edge IOT at regular time. After the edge IOT receives the field device data, the edge IOT performs corresponding data processing on the field device data.
In some embodiments, the transmitting the field device data to the internet of things IOT at the edge according to the data type of the field device data by adopting a corresponding data transmission policy includes:
and if the field device data is alarm data, sending the field device data to the edge IOT in real time.
For example, if the data type of the field device data is alarm data, the field device data is not cached, but is sent to the edge IOT in real time. After the edge IOT receives the field device data, the edge IOT performs corresponding data processing on the field device data.
In some embodiments, the transmitting the field device data to an edge IOT for the edge IOT to process the field device data includes:
and transmitting the field device data to an edge gateway, wherein the edge gateway processes the field device data and then transmits the field device data to the edge IOT for data analysis.
For example, as shown in FIG. 3, a plurality of field devices, including field device 1, field device 2, and field device 3, are each coupled to a controller that is also coupled to an edge gateway. And after receiving the field device data reported by the field device, the controller adopts a corresponding data transmission strategy according to the data type of the field device data to transmit the field device data to the edge gateway. And after receiving the field device data, the edge gateway processes the field device data and transmits the field device data to the edge IOT. The edge IOT receives the processed data transmitted by the edge gateway and performs processing such as data analysis on the processed data transmitted by the edge gateway.
The edge gateway performs data processing on the field device data, including at least one of protocol analysis and data conversion. Data processing by the edge IOT includes, but is not limited to, edge processing, edge analysis, caching, and the like.
As shown in fig. 4, the flow of the data transmission process includes:
a) The sensor collects field device data;
b) Adapting a corresponding transmission protocol to transmit field device data to the controller;
c) Judging whether the field device data is alarm data or not; if not, executing the step d; if yes, executing the step f;
d) Caching field device data;
e) Periodically sending field device data to an edge gateway for processing;
f) Transmitting field device data to an edge gateway in real time for processing;
g) The edge gateway performs data processing such as protocol analysis and data conversion and then transmits the data to the edge IOT;
h) And carrying out data analysis on the edge IOT.
The special field device data is distinguished and transmitted, so that the problems of occupying a large amount of network bandwidth and network time delay caused by data transmission are solved, not only is important alarm data reported in real time and processed in time ensured, but also the field device data are buffered and sent at fixed time, so that the space network change transmission environment is improved, and the efficiency of data transmission processing is ensured.
In some embodiments, as shown in fig. 5, step S103 may include sub-step S1031 and sub-step S1032.
S1031, reporting a compressed topic list to the edge IOT;
s1032, when receiving a response message fed back by the edge IOT based on the topic list, compressing the field device data, reporting the compressed data to the edge IOT through a message queue telemetry transmission MQTT protocol, and processing and analyzing the compressed data by the edge IOT, or transmitting the compressed data to a cloud IOT for processing and analyzing after the edge IOT compresses the compressed data again.
The data compression tool assembly is provided in the controller, the edge IOT and the cloud IOT, and the data is compressed by the data compression tool and then transmitted, so that the data volume of data transmission is reduced, and the network bandwidth pressure is reduced.
The current mainstream compression formats include Bzip2, gzip, deflate, lzo, lz, snappy, etc., taking data compression 2000 times as an example, the efficiency pairs of these compression formats are shown in table 1:
TABLE 1
Referring to the efficiencies of the various compression formats of table 1, in this embodiment, the gzip format is used for data compression. Illustratively, the compression algorithm uses a deflate algorithm, which is a lossless data compression algorithm using Huffman Coding.
For example, as shown in FIG. 6, after the field device reports data to the controller, the controller reports the compressed topic list to the edge IOT. Illustratively, the controller reports the compressed topic list to the edge IOT by way of MQTT (Message Queuing Telemetry Transport, message queue telemetry transport). After receiving the topic list, the edge IOT replies a corresponding response message, for example, a success message is received, and informs the controller that the compressed data can be sent.
Illustratively, the edge IOT reports the topic list to the cloud IOT after receiving the topic list, and the cloud IOT replies a corresponding response message, e.g., receives a success message to the edge IOT after receiving the topic list.
After receiving the response message fed back by the edge IOT, the controller compresses the field device data through a compression algorithm of the data compression tool assembly, and transmits the compressed data to the edge IOT. Illustratively, the controller transmits the compressed data to the edge IOT based on the MQTT protocol via the topic list previously reported. The edge IOT processes and analyzes the compressed data, or the edge IOT compresses the compressed data again and then transmits the compressed data to the cloud IOT for processing and analyzing, and further data collaborative operation is performed in the next step.
In some embodiments, the method further comprises:
receiving compressed command data issued by the edge IOT;
and decompressing the compressed command data and issuing a corresponding command to the field device so that the field device can execute corresponding operation based on the command.
The edge IOT analyzes and processes the compressed data, if the edge IOT can complete processing, the edge IOT transmits the compressed command data to the controller, the controller receives the compressed command data transmitted by the edge IOT, decompresses the compressed command data, transmits corresponding commands to the corresponding field devices, and the field devices receiving the commands execute corresponding operations based on the commands.
In another case, if the edge IOT cannot complete the processing, the edge IOT performs data compression again through the data compression tool component, and then, the data after data compression again is transmitted to the cloud IOT through the MQTT protocol. After receiving the compressed data, the cloud IOT performs data decompression, after data analysis and processing, the cloud IOT performs data compression through the data compression tool assembly and then transmits the data to the edge IOT, after data processing, the edge IOT performs data compression through the data compression tool assembly and then transmits the data to the controller, the controller performs decompression processing on the data and transmits corresponding commands to corresponding field devices, and the field devices receiving the commands execute corresponding operations based on the commands.
Since data transmission is performed by the MQTT protocol, data compression is performed based on the MQTT protocol. According to the MQTT protocol, the maximum message size of MQTT is 1MB, so the data volume of the field device data transmission is 1MB at maximum.
The data compression processing of the controller, the edge IOT and the cloud IOT reduces the transmission cost of mass data transmission and improves the efficiency of data transmission.
In the above embodiment, the data type of the field device data is determined by acquiring the field device data collected by the sensor and reported by the field device, wherein the field device data with different data types are preconfigured with different data transmission strategies, and according to the data type of the field device data, the field device data is transmitted to the edge internet of things IOT by adopting the corresponding data transmission strategy, and the edge IOT performs data processing on the field device data. And for different types of data, the data is subjected to differentiated reporting, so that the problems of occupying network bandwidth and network time delay caused by mass data transmission are solved, and the data processing efficiency is improved.
Referring to fig. 7, fig. 7 is a schematic block diagram of a data transmission processing apparatus according to an embodiment of the present application.
As shown in fig. 7, the data transmission processing apparatus 300 may include a processor 310 and a memory 320, where the processor 310 and the memory 320 are connected by a bus, such as an I2C (Inter-integrated Circuit) bus.
Specifically, the processor 310 may be a Micro-controller Unit (MCU), a central processing Unit (Central Processing Unit, CPU), a digital signal processor (Digital Signal Processor, DSP), or the like.
Specifically, the Memory 320 may be a Flash chip, a Read-Only Memory (ROM) disk, an optical disk, a U-disk, a removable hard disk, or the like. The memory 320 has stored therein various computer programs for execution by the processor 310.
Wherein the processor 310 is configured to run a computer program stored in the memory 320 and to implement the following steps when the computer program is executed:
acquiring field device data reported by a field device and collected by a sensor;
determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies;
and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data.
In some embodiments, when implementing the data type according to the field device data and adopting a corresponding data transmission policy, the processor 310 is configured to implement:
if the field device data are device attribute data, caching the field device data;
and sending the cached field device data to the edge IOT at regular time according to a preset period time.
In some embodiments, when implementing the data type according to the field device data and adopting a corresponding data transmission policy, the processor 310 is configured to implement:
and if the field device data is alarm data, sending the field device data to the edge IOT in real time.
In some embodiments, when implementing the transmitting the field device data to an edge IOT, the processor 310 is configured to implement:
and transmitting the field device data to an edge gateway, wherein the edge gateway processes the field device data and then transmits the field device data to the edge IOT for data analysis.
In some embodiments, the edge gateway performs data processing on the field device data including at least one of protocol parsing, data conversion.
In some embodiments, when implementing the transmitting the field device data to an edge internet of things IOT, the processor 310 is configured to implement:
reporting a compressed topic list to the edge IOT;
and when receiving a response message fed back by the edge IOT based on the topic list, compressing the field device data, reporting the compressed data to the edge IOT through an MQTT protocol for message queue telemetry transmission, and processing and analyzing the compressed data by the edge IOT or transmitting the compressed data to a cloud IOT for processing and analyzing after the edge IOT compresses the compressed data again.
In some embodiments, the processor 310 is further configured to implement:
receiving compressed command data issued by the edge IOT;
and decompressing the compressed command data and issuing a corresponding command to the field device so that the field device can execute corresponding operation based on the command.
The data transmission processing device 300 may execute the data transmission processing method provided in the embodiment of the present application, so that the beneficial effects that can be achieved by the data transmission processing method provided in the embodiment of the present application can be achieved, which are detailed in the previous embodiments and are not described herein again.
Also provided in the embodiments of the present application is a control apparatus including the data transmission processing device 300 described in the above embodiments. The control device may execute the data transmission processing method provided by the embodiment of the present application, so that the beneficial effects that can be achieved by the data transmission processing method provided by the embodiment of the present application may be achieved, which are detailed in the previous embodiments and are not described herein again.
An embodiment of the present application further provides a storage medium, where the storage medium stores a computer program, where the computer program includes program instructions, and the processor executes the program instructions to implement the steps of the data transmission processing method provided in the foregoing embodiment. For example, the computer program is loaded by a processor, the following steps may be performed:
acquiring field device data reported by a field device and collected by a sensor;
determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies;
and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
The storage medium may be an internal storage unit of the data transmission processing apparatus of the foregoing embodiment, for example, a hard disk or a memory of the data transmission processing apparatus. The storage medium may also be an external storage device of the data transmission processing apparatus, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the data transmission processing apparatus.
Because the computer program stored in the storage medium can execute any data transmission processing method provided in the embodiments of the present application, the beneficial effects that any data transmission processing method provided in the embodiments of the present application can achieve can be achieved, which are detailed in the previous embodiments and are not described herein.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.

Claims (10)

1. A data transmission processing method, characterized in that the data transmission processing method comprises:
acquiring field device data reported by a field device and collected by a sensor;
determining the data type of the field device data, wherein the field device data with different data types are preconfigured with different data transmission strategies;
and transmitting the field device data to an edge IOT (Internet of things) according to the data type of the field device data by adopting a corresponding data transmission strategy so as to enable the edge IOT to perform data processing on the field device data.
2. The method of claim 1, wherein the transmitting the field device data to an edge internet of things IOT using a corresponding data transmission policy according to the data type of the field device data comprises:
if the field device data are device attribute data, caching the field device data;
and sending the cached field device data to the edge IOT at regular time according to a preset period time.
3. The method of claim 1, wherein the transmitting the field device data to an edge internet of things IOT using a corresponding data transmission policy according to the data type of the field device data comprises:
and if the field device data is alarm data, sending the field device data to the edge IOT in real time.
4. The method of claim 1, wherein the transmitting the field device data to an edge internet of things IOT for the edge IOT to perform data processing on the field device data comprises:
and transmitting the field device data to an edge gateway, wherein the edge gateway processes the field device data and then transmits the field device data to the edge IOT for data analysis.
5. The method of claim 4, wherein the edge gateway performing data processing on the field device data comprises at least one of protocol parsing, data conversion.
6. The method of claim 1, wherein the transmitting the field device data to an edge internet of things IOT comprises:
reporting a compressed topic list to the edge IOT;
and when receiving a response message fed back by the edge IOT based on the topic list, compressing the field device data, reporting the compressed data to the edge IOT through an MQTT protocol for message queue telemetry transmission, and processing and analyzing the compressed data by the edge IOT or transmitting the compressed data to a cloud IOT for processing and analyzing after the edge IOT compresses the compressed data again.
7. The method of claim 6, wherein the method further comprises:
receiving compressed command data issued by the edge IOT;
and decompressing the compressed command data and issuing a corresponding command to the field device so that the field device can execute corresponding operation based on the command.
8. A data transmission processing apparatus, characterized in that the data transmission processing apparatus comprises a processor and a memory;
the memory is used for storing a computer program executable by the processor;
the processor is configured to execute the computer program and implement the data transmission processing method according to any one of claims 1 to 7 when the computer program is executed.
9. A control apparatus, characterized in that the control apparatus comprises the data transmission processing device according to claim 8.
10. A storage medium for computer-readable storage, characterized in that the storage medium stores one or more programs executable by one or more processors to implement the steps of the data transmission processing method of any one of claims 1 to 7.
CN202310487286.XA 2023-04-28 2023-04-28 Data transmission processing method, device, control equipment and storage medium Pending CN116546046A (en)

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