CN-122027667-A - Multi-gateway collaborative mechanical data monitoring Internet of things system, method and medium for sensor

CN122027667ACN 122027667 ACN122027667 ACN 122027667ACN-122027667-A

Abstract

The invention provides a multi-gateway collaborative mechanical data monitoring Internet of things system, a multi-gateway collaborative mechanical data monitoring method and a multi-gateway collaborative mechanical data monitoring medium for a sensor, and belongs to the technical field of data monitoring. The method comprises the steps of collecting mechanical data through leaf nodes of a tree network, converting the mechanical data into frequency signals, converging the frequency signals through routing nodes of the tree network, dividing a data packet containing the frequency signals into a plurality of data fragments with preset lengths, sending the data fragments to a sensing network platform through a perception control platform, analyzing the frequency signals from the received data fragments, converting the frequency signals into the mechanical data, sending the mechanical data to a management platform, carrying out data recombination and integrity verification on the received mechanical data, sending the complete mechanical data to a computer terminal, controlling the computer terminal to render and generating an axial force and/or torque trend graph. The invention can realize the accurate recombination and the integrity check of the data after the parallel transmission of the multiple gateways so as to meet the reliability requirement of engineering safety monitoring.

Inventors

SHAO ZEHUA
LI YONG
SU CHANG
CHEN YUNBAI

Assignees

成都秦川物联网科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. The utility model provides a multi-gateway collaborative mechanical data monitoring thing networking system for sensor, its characterized in that includes perception control platform, sensing network platform and management platform, perception control platform is including deploying at least one set of non-contact sensor on transmission shaft or back shaft, non-contact sensor constitutes the arborescent network, sensing network platform includes at least one set of heterogeneous gateway that supports different transmission protocols, management platform includes computer terminal, wherein: The perception-control platform is configured to: Collecting mechanical data through leaf nodes of the tree network, and converting the mechanical data into frequency signals; converging the frequency signals through the routing nodes of the tree network, and dividing a data packet containing the frequency signals into a plurality of data fragments with preset lengths; Sending the data fragments to the sensing network platform; the sensor network platform is configured to: Broadcasting the state information of the heterogeneous gateway according to a preset period; analyzing the frequency signal from the received data fragments, converting the frequency signal back to the mechanical data, and sending the mechanical data to the management platform; The management platform is configured to: Carrying out data recombination and integrity check on the received mechanical data; in response to detecting data fragment loss and/or verification failure, sending a local retransmission instruction to the perception control platform; And sending the complete mechanical data to a computer terminal, controlling the computer terminal to render and generating an axial force and/or torque trend graph.
2. The multi-gateway collaborative mechanical data monitoring internet of things system for a sensor of claim 1, wherein the sensory control platform is further configured to: According to the frequency value of the frequency signal, determining a data type of mechanical data corresponding to the frequency signal, wherein the data type comprises key mechanical data and common mechanical data, and the perception control platform is further configured to: responding to the frequency value of the frequency signal being larger than a first preset threshold value, and marking the mechanical data corresponding to the frequency signal as the key mechanical data; and in response to the frequency value of the frequency signal being smaller than or equal to the first preset threshold value, marking the mechanical data corresponding to the frequency signal as the common mechanical data.
3. The multi-gateway collaborative mechanical data monitoring internet of things system for a sensor of claim 2, wherein the sensory control platform is further configured to: And responding to the data type of the mechanical data corresponding to the frequency signal as key mechanical data, sending a variable frequency control instruction to a leaf node for acquiring the mechanical data, controlling the leaf node to switch from a low-frequency mode to a high-frequency mode, and acquiring physical deformation details of the support shaft and/or the transmission shaft.
4. The multi-gateway collaborative mechanical data monitoring internet of things system for a sensor of claim 2, wherein the sensory control platform is further configured to: predicting the flow to be transmitted in a future period based on a flow prediction model according to a historical flow sequence and a historical duty ratio sequence of the key mechanical data, wherein the flow prediction model is a time sequence model; And adjusting the preset length of the data fragments according to the flow to be transmitted in the future period.
5. The multi-gateway collaborative mechanical data monitoring internet of things system for a sensor of claim 2, wherein the sensory control platform is further configured to: Based on the state information of the heterogeneous gateway, weighting and calculating the real-time comprehensive score of the heterogeneous gateway; Controlling the data fragments to be differentially transmitted according to the real-time comprehensive scores, wherein the perception control platform is further configured to: Responding to the mechanical data corresponding to the frequency signal as the key mechanical data, and distributing the data fragments to a plurality of first gateways with real-time comprehensive scores higher than a second preset threshold value; And responding to the mechanical data corresponding to the frequency signal as the common mechanical data, and distributing the data fragments to a plurality of second gateways with real-time comprehensive scores higher than the second preset threshold.
6. The method for monitoring the multi-gateway collaborative mechanical data of the sensor is characterized by being realized by a multi-gateway collaborative mechanical data monitoring Internet of things system for the sensor, the system comprises a perception control platform, a sensing network platform and a management platform, the perception control platform comprises at least one group of non-contact sensors deployed on a transmission shaft or a supporting shaft, the non-contact sensors form a tree network, the sensing network platform comprises at least one group of heterogeneous gateways supporting different transmission protocols, and the management platform comprises a computer terminal, and the method comprises the following steps: Collecting mechanical data through leaf nodes of the tree network, and converting the mechanical data into frequency signals; converging the frequency signals through the routing nodes of the tree network, and dividing a data packet containing the frequency signals into a plurality of data fragments with preset lengths; sending the data fragments to the sensing network platform through the perception control platform; Broadcasting the state information of the heterogeneous gateway according to a preset period; analyzing the frequency signal from the received data fragments, converting the frequency signal back to the mechanical data, and sending the mechanical data to the management platform; Carrying out data recombination and integrity check on the received mechanical data; in response to detecting data fragment loss and/or verification failure, sending a local retransmission instruction to the perception control platform; And sending the complete mechanical data to a computer terminal, controlling the computer terminal to render and generating an axial force and/or torque trend graph.
7. The method of multi-gateway collaborative mechanical data monitoring for a sensor according to claim 6, further comprising: Determining a data type of mechanical data corresponding to the frequency signal according to the frequency value of the frequency signal, wherein the data type comprises key mechanical data and common mechanical data, and determining the data type of the mechanical data corresponding to the frequency signal according to the frequency value of the frequency signal comprises: responding to the frequency value of the frequency signal being larger than a first preset threshold value, and marking the mechanical data corresponding to the frequency signal as the key mechanical data; and in response to the frequency value of the frequency signal being smaller than or equal to the first preset threshold value, marking the mechanical data corresponding to the frequency signal as the common mechanical data.
8. The method of multi-gateway collaborative mechanical data monitoring for a sensor according to claim 7, further comprising: predicting the flow to be transmitted in a future period based on a flow prediction model according to a historical flow sequence and a historical duty ratio sequence of the key mechanical data, wherein the flow prediction model is a time sequence model; And adjusting the preset length of the data fragments according to the flow to be transmitted in the future period.
9. The method of multi-gateway collaborative mechanical data monitoring for a sensor according to claim 7, further comprising: Based on the state information of the heterogeneous gateway, weighting and calculating the real-time comprehensive score of the heterogeneous gateway; Controlling the data fragments to perform differential transmission according to the real-time comprehensive score, wherein controlling the data fragments to perform differential transmission according to the real-time comprehensive score comprises: Responding to the mechanical data corresponding to the frequency signal as the key mechanical data, and distributing the data fragments to a plurality of first gateways with real-time comprehensive scores higher than a second preset threshold value; And responding to the mechanical data corresponding to the frequency signal as the common mechanical data, and distributing the data fragments to a plurality of second gateways with real-time comprehensive scores higher than the second preset threshold.
10. A computer readable storage medium storing computer instructions which when executed by a processor implement a multi-gateway collaborative mechanical data monitoring method for a sensor as claimed in claim 6.

Description

Multi-gateway collaborative mechanical data monitoring Internet of things system, method and medium for sensor Technical Field The invention relates to the technical field of data monitoring, in particular to a multi-gateway collaborative mechanical data monitoring Internet of things system, method and medium for a sensor. Background The traditional rotation shaft system monitoring usually adopts analog signal wired transmission or single gateway wireless transmission, and the conditions of network cable abrasion and breakage or packet loss caused by strong electromagnetic interference of factories are easy to occur. And the traditional rotation axis system monitoring generally adopts a whole packet retransmission mechanism when packet loss is retransmitted, network congestion and data delay are easy to cause under a high-interference high-load environment, and the real-time performance and reliability requirements of key mechanical data cannot be met. Based on the above, it is desirable to provide a multi-gateway collaborative mechanical data monitoring internet of things system, method and medium for sensors, which can ensure reliable acquisition of non-contact sensor data under a high-strength electromagnetic interference environment, and realize accurate recombination and integrity check of data after multi-gateway parallel transmission so as to meet the reliability requirement of engineering safety monitoring. Disclosure of Invention One or more embodiments of the present invention provide a multi-gateway collaborative mechanical data monitoring internet of things system for a sensor. The system comprises a perception control platform, a sensing network platform and a management platform, wherein the perception control platform comprises at least one group of non-contact sensors which are arranged on a transmission shaft or a supporting shaft, the non-contact sensors form a tree network, the sensing network platform comprises at least one group of heterogeneous gateways supporting different transmission protocols, the management platform comprises a computer terminal, the perception control platform is configured to collect mechanical data through leaf nodes of the tree network and convert the mechanical data into frequency signals, the routing nodes of the tree network collect the frequency signals, divide a data packet containing the frequency signals into a plurality of data fragments with preset lengths, send the data fragments to the sensing network platform, the sensing network platform is configured to broadcast state information of the heterogeneous gateways according to a preset period, analyze the frequency signals from the received data fragments, convert the frequency signals back into the mechanical data and send the mechanical data to the management platform, the management platform is configured to carry out recombination and detection on the received data and the frequency signals into a plurality of data fragments with preset lengths, and send the data fragments to the computer terminal to a complete graph or a complete graph in response to a computer, and a complete graph is generated. One or more embodiments of the present invention provide a multi-gateway collaborative mechanical data monitoring method for a sensor. The method is realized by a multi-gateway collaborative mechanical data monitoring Internet of things system for sensors, the system comprises a perception control platform, a sensing network platform and a management platform, the perception control platform comprises at least one group of non-contact sensors which are deployed on a transmission shaft or a supporting shaft, the non-contact sensors are in a tree network, the sensing network platform comprises at least one group of heterogeneous gateways which support different transmission protocols, and the management platform comprises a computer terminal. The method comprises the steps of collecting mechanical data through leaf nodes of a tree network, converting the mechanical data into frequency signals, converging the frequency signals through routing nodes of the tree network, dividing a data packet containing the frequency signals into a plurality of data fragments with preset lengths, sending the data fragments to a sensing network platform through a perception control platform, broadcasting state information of a heterogeneous gateway according to a preset period, analyzing the frequency signals from the received data fragments, converting the frequency signals into the mechanical data, sending the mechanical data to a management platform, conducting data recombination and integrity check on the received mechanical data, responding to detection of data fragment loss and/or check failure, sending a local retransmission instruction to the perception control platform, sending the complete mechanical data to a computer terminal, and controlling the computer terminal to render and generate an axial force and/or torq