CN-122001769-A - Sensor data cooperative transmission system, method and medium based on Internet of things

CN122001769ACN 122001769 ACN122001769 ACN 122001769ACN-122001769-A

Abstract

The invention provides a sensor data cooperative transmission system, a sensor data cooperative transmission method and a sensor data cooperative transmission medium based on the Internet of things, wherein the system comprises a management platform and a perception control platform, the management platform is configured to determine the data type of a data frame according to the head parameter of the data frame, determine the priority of the data frame according to the data type, the failure time and the information entropy, determine bandwidth adjustment parameters according to load data of a channel, accumulation data of a priority queue and the priority of the data frame, generate a first adjustment instruction according to the bandwidth adjustment parameters and send the first adjustment instruction to the perception control platform, and the perception control platform comprises edge computing equipment, wherein the edge computing equipment is configured to adjust the transmission bandwidth of the channel based on the first adjustment instruction. The method realizes the accurate identification and the priority guarantee of the key instructions, solves the problems of high delay and perceived data packet loss of the control instructions caused by the traditional static allocation, and improves the instantaneity and the stability of the industrial control system.

Inventors

SHAO ZEHUA
LI YONG
SU CHANG

Assignees

成都秦川物联网科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260402

Claims (9)

1. The sensor data cooperative transmission system based on the Internet of things is characterized by comprising a management platform and a perception control platform; the management platform is configured to: determining the data type of the data frame according to the head parameter of the data frame; determining the priority of the data frame according to the data type, the failure time and the information entropy; determining a bandwidth adjustment parameter based on load data of a channel, pile-up data of a priority queue, and said priority of said data frame, and Generating a first adjustment instruction according to the bandwidth adjustment parameter, and sending the first adjustment instruction to the perception control platform; the perception control platform includes an edge computing device configured to: And adjusting the transmission bandwidth of the channel based on the first adjustment instruction.
2. The system of claim 1, wherein the management platform is further configured to: Generating a candidate adjustment strategy; Determining a first regulation and control effect corresponding to the candidate regulation and control strategy through an effect prediction model according to the load data, the accumulation data, the priority of the data frame and the candidate regulation and control strategy, wherein the effect prediction model is a machine learning model; Determining a second regulatory effect of the candidate regulatory strategy based on the first regulatory effect, and And determining the bandwidth adjusting parameter according to the second regulation and control effect.
3. The system of claim 2, wherein the management platform is further configured to: Determining the weight coefficient of the channel according to the state characteristics and the task characteristics of the mechanical arm corresponding to the channel, and And determining the second regulation effect according to the weight coefficient and the first regulation effect.
4. The system of claim 1, wherein the management platform is further configured to: Determining the predicted bandwidth requirement of the channel through a bandwidth prediction model according to the historical flow sequence of the channel, the load data and the service type, wherein the bandwidth prediction model is a machine learning model; determining future adjustment parameters based on the predicted bandwidth demand, and And generating a second adjustment instruction according to the future adjustment parameter, wherein the second adjustment instruction comprises the transmission bandwidth of the channel at the future time.
5. The sensor data cooperative transmission method based on the Internet of things is characterized by comprising the following steps of: determining the data type of the data frame according to the head parameter of the data frame; determining the priority of the data frame according to the data type, the failure time and the information entropy; Determining bandwidth adjustment parameters according to load data of a channel, accumulation data of a priority queue and the priority of the data frame; Generating a first adjustment instruction according to the bandwidth adjustment parameter, and sending the first adjustment instruction to the perception control platform, wherein the perception control platform comprises edge computing equipment, and And adjusting, by the edge computing device, a transmission bandwidth of the channel based on the first adjustment instruction.
6. The method of claim 5, wherein said determining bandwidth adjustment parameters based on load data of a channel, pile-up data of a priority queue, and said priority of said data frame comprises: Generating a candidate adjustment strategy; Determining a first regulation and control effect corresponding to the candidate regulation and control strategy through an effect prediction model according to the load data, the accumulation data, the priority of the data frame and the candidate regulation and control strategy, wherein the effect prediction model is a machine learning model; Determining a second regulatory effect of the candidate regulatory strategy based on the first regulatory effect, and And determining the bandwidth adjusting parameter according to the second regulation and control effect.
7. The method of claim 6, wherein determining a second regulatory effect of the candidate regulatory strategy based on the first regulatory effect comprises: Determining the weight coefficient of the channel according to the state characteristics and the task characteristics of the mechanical arm corresponding to the channel, and And determining the second regulation effect according to the weight coefficient and the first regulation effect.
8. The method of claim 5, wherein the method further comprises: Determining the predicted bandwidth requirement of the channel through a bandwidth prediction model according to the historical flow sequence of the channel, the load data and the service type, wherein the bandwidth prediction model is a machine learning model; determining future adjustment parameters based on the predicted bandwidth demand, and And generating a second adjustment instruction according to the future adjustment parameter, wherein the second adjustment instruction comprises the transmission bandwidth of the channel at the future time.
9. A computer-readable storage medium storing computer instructions that, when read by a computer, perform the sensor data co-transmission method of claim 5.

Description

Sensor data cooperative transmission system, method and medium based on Internet of things Technical Field The present disclosure relates to the field of data transmission, and in particular, to a system, a method, and a medium for collaborative transmission of sensor data based on the internet of things. Background In the existing information system, the high-frequency sensing data and real-time control instructions acquired by the sensor are usually transmitted through a shared physical channel, and the bandwidth of each channel is usually fixed. Since the huge amount of perceived data can preempt limited transmission bandwidth, critical control instructions often create uncontrollable transmission delays due to network congestion. Therefore, it is desirable to provide a system and a method for collaborative transmission of sensor data based on the internet of things, which can dynamically isolate and schedule data streams without adding physical channels. Disclosure of Invention The system comprises a management platform and a perception control platform, wherein the management platform is configured to determine the data type of a data frame according to the head parameter of the data frame, determine the priority of the data frame according to the data type, the failure time and the information entropy, determine a bandwidth adjustment parameter according to the load data of a channel, the accumulation data of a priority queue and the priority of the data frame, generate a first adjustment instruction according to the bandwidth adjustment parameter and send the first adjustment instruction to the perception control platform, and the perception control platform comprises an edge computing device which is configured to adjust the transmission bandwidth of the channel based on the first adjustment instruction. The sensor data cooperative transmission method based on the Internet of things is realized based on a sensor data cooperative transmission system and comprises the steps of determining a data type of a data frame according to a head parameter of the data frame, determining a priority of the data frame according to the data type, failure time and information entropy, determining a bandwidth adjustment parameter according to load data of a channel, accumulation data of a priority queue and the priority of the data frame, generating a first adjustment instruction according to the bandwidth adjustment parameter and sending the first adjustment instruction to a perception control platform, and adjusting transmission bandwidth of the channel based on the first adjustment instruction. Comprising a computer readable storage medium storing computer instructions that when read by a computer in the storage medium, the computer performs the sensor data cooperative transmission method. The method and the device have the advantages that the control instruction and the perception data are directly distinguished by analyzing the head parameters of the data frame, a multidimensional priority evaluation system for the data frame is constructed by combining the failure time and the information entropy, so that the accurate identification and the priority guarantee of the key instruction are realized, meanwhile, the transmission bandwidth is dynamically adjusted based on the channel load and the queue accumulation condition, the problems of high delay of the control instruction and packet loss of the perception data caused by the traditional static allocation are effectively solved, and the instantaneity and the stability of an industrial control system are improved. Drawings Fig. 1 is a schematic diagram of a platform structure of a sensor data cooperative transmission system based on the internet of things according to some embodiments of the present disclosure; FIG. 2 is an exemplary flow chart of a method for collaborative transmission of sensor data based on the Internet of things, according to some embodiments of the present description; FIG. 3 is a schematic diagram of a preprocessing operation shown in accordance with some embodiments of the present description; fig. 4 is an exemplary flow chart for determining bandwidth adjustment parameters according to some embodiments of the present description; FIG. 5 is an exemplary schematic diagram of an effect prediction model shown in accordance with some embodiments of the present description; fig. 6 is an exemplary schematic diagram of a bandwidth prediction model shown in accordance with some embodiments of the present description. Detailed Description The drawings that are used in the description of the embodiments will be briefly described below. The drawings do not represent all embodiments. As used herein, a "system," "apparatus," "unit," and/or "module" is a means for distinguishing between different components, elements, parts, portions, or assemblies at different levels. Other words may be substituted for the words by other expressions if the words achieve