Intelligent edge gateway, method and system for mechanical equipment state monitoring wireless sensor
Through the intelligent edge gateway system, the monitoring data of mechanical equipment is collected and processed in real time, solving the problem of inability to monitor multiple devices at the same time and slow response speed in the prior art, and achieving efficient and accurate monitoring of mechanical equipment status.
Patent Information
- Application Number
- CN202311395757.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-25
- Publication Date
- 2025-04-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing mechanical equipment status monitoring and diagnostic instruments cannot monitor multiple devices at the same time, and the response speed is slow, resulting in insufficient monitoring and timely monitoring, and high energy consumption during data transmission.
Design an intelligent edge gateway system, including sensors, intelligent edge gateways, databases and terminal devices, connect sensors and intelligent edge gateways through wireless communications, collect and process monitoring data of mechanical equipment in real time, and improve monitoring accuracy and timeliness through intelligent gateways and methods.
It realizes simultaneous monitoring and rapid response to multiple mechanical equipment, reduces the energy consumption of data transmission, improves the accuracy and timeliness of monitoring, and improves the expansion ability of gateways in different industrial scenarios.
Smart Images

Figure CN119893558A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of mechanical equipment detection, and in particular to an intelligent edge gateway, method and system for wireless sensors for monitoring the status of mechanical equipment. Background Art
[0002] When mechanical equipment is in operation, it needs to be monitored in real time. Existing mechanical equipment status monitoring and diagnostic instruments are mostly installed at the machine equipment. Generally, they provide functions such as equipment anomaly detection and fault diagnosis based on the data collected by sensors. The main technology of online anomaly detection and working condition identification relies on thresholds and expert systems. By deploying sensors on machine terminals, the state quantities such as vibration and temperature of mechanical equipment are collected online, and the state data is sent to the cloud platform through the network based on the threshold. During this period, the sensor terminal directly uploads the original data, which will bring greater energy consumption, bandwidth and time costs. The monitoring of machine terminals is mainly based on manual anomaly detection and fault analysis, which is mixed with many human factors, which wastes manpower and material resources and cannot guarantee the accuracy and timeliness of judgment.
[0003] In addition, this monitoring and diagnostic instrument cannot monitor multiple mechanical equipment at the same time, and the existing control methods are relatively slow in control and execution and have a slow response speed.
[0004] To this end, we propose an intelligent edge gateway, method and system for wireless sensors for mechanical equipment status monitoring to solve the above problems. Summary of the invention
[0005] The object of the present invention is to provide an intelligent edge gateway, method and system for wireless sensors for monitoring the status of mechanical equipment to solve the problems raised in the above background technology.
[0006] To achieve the above object, the present invention provides the following technical solutions:
[0007] A wireless sensor system for monitoring the condition of mechanical equipment, comprising:
[0008] Intelligent edge gateways, sensors, databases, and terminal devices,
[0009] The sensor is connected to the intelligent edge gateway by wireless communication, and is used to continuously collect monitoring data of the mechanical equipment, and transmit the monitoring data to the intelligent edge gateway by wireless communication;
[0010] The terminal device is communicatively connected to the intelligent edge gateway, and is used to provide a trigger instruction to the intelligent edge gateway, wherein the trigger instruction includes a target detection value of the same type as the monitoring data;
[0011] The intelligent edge gateway is used to determine the trigger conditions satisfied by the initial monitoring data and the target monitoring value, and to determine the first action resource to which the trigger condition belongs; determine the execution instruction under the first action resource, and send the execution instruction to the first mechanical device corresponding to the first action resource; monitor the first execution effect corresponding to the first action resource according to the real-time monitoring data, and turn on the second mechanical device associated with the first mechanical device or turn off the first mechanical device according to the monitoring result of the first execution effect; and / or, according to the real-time monitoring data, resolve the conflict between the second action resource triggered later and the first action resource;
[0012] The database, the terminal device stores the monitoring data transmitted by the intelligent edge gateway in the database or compares the monitoring data transmitted by the intelligent edge gateway in the database.
[0013] A monitoring method for a wireless sensor for monitoring the condition of mechanical equipment, comprising:
[0014] S1, the intelligent edge gateway receives the monitoring data provided by the sensor;
[0015] S2, the intelligent edge gateway filters and cleans the monitoring data to remove irrelevant and essential data;
[0016] S3, the intelligent edge gateway transmits the filtered data to the terminal device;
[0017] S4. The terminal device will analyze the data and compare it with the database. If the database contains the same or similar data, it will directly trigger the processing instructions of the monitoring data that is the same or similar to the historical data, and send it to the mechanical equipment through the intelligent edge gateway, and the mechanical equipment will execute the instructions.
[0018] In a further embodiment, in S4, if it is found that there is no historical monitoring data similar or identical to the database, an instruction is triggered first, and after the mechanical equipment executes the instruction, the monitoring data of this time is stored in the database, and the processing instructions corresponding to the monitoring data of this time are stored at the same time.
[0019] In a further embodiment, the sensor continues to feed back the monitoring data after the mechanical equipment executes the instruction to the intelligent edge gateway, which then feeds back the data to the terminal device. The terminal device compares the generation time of the latest data with the generation time of the monitoring data before the execution of the instruction to determine whether the mechanical equipment has failed to execute the instruction or has executed the instruction incorrectly.
[0020] In a further embodiment, after receiving the secondary monitoring data, the terminal device determines the timeliness of the solution of the received instruction by the mechanical equipment, and stores the analyzed timeliness of solution data in a database.
[0021] An intelligent edge gateway for wireless sensors for monitoring the condition of mechanical equipment includes an interface module, a data receiving module, an Arm architecture high-end processor, a data cleaning module and a memory.
[0022] In a further embodiment, the data processing module comprises a processing unit and an updating unit, wherein:
[0023] The processing unit is used to perform feature extraction processing on the state information according to a machine learning algorithm or a deep learning algorithm to obtain feature data of the target machine terminal, and analyze and identify the feature data to obtain a state monitoring result of the target machine terminal;
[0024] The updating unit is used to update the algorithm parameters of the processing unit according to the characteristic data and the state monitoring result to obtain an updated processing unit.
[0025] Compared with the prior art, the present invention has the following beneficial effects:
[0026] The present invention can monitor multiple devices simultaneously with fast response and execution speeds, and through intelligent gateways, methods and systems, improves the accuracy and timeliness of machine terminal monitoring, reduces energy consumption during machine terminal data transmission, and enhances the expansion capability of the gateway in different industrial scenarios. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 is a flow chart of the monitoring system of the present invention;
[0028] Figure 2 It is a schematic diagram of the monitoring method flow of the present invention;
[0029] Figure 3 This is a schematic diagram of the structure of the intelligent Binyuan gateway of the present invention. DETAILED DESCRIPTION
[0030] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0031] See also Figure 3 The present invention provides an intelligent edge gateway for wireless sensors for monitoring the condition of mechanical equipment, comprising an interface module, a data receiving module, an Arm architecture high-end processor, a data cleaning module and a memory, wherein the data processing module comprises a processing unit and an update unit, wherein:
[0032] The processing unit is used to perform feature extraction processing on the status information according to a machine learning algorithm or a deep learning algorithm to obtain feature data of the target machine terminal, and analyze and identify the feature data to obtain a status monitoring result of the target machine terminal; the updating unit is used to update the algorithm parameters of the processing unit according to the feature data and the status monitoring result to obtain an updated processing unit.
[0033] See also Figure 1 , one A system for wireless sensors for monitoring the status of mechanical equipment adopts the above-mentioned intelligent edge gateway, and also includes: a sensor, a database and a terminal device, wherein the sensor is connected to the intelligent edge gateway by wireless communication, and is used to continuously collect mechanical equipment monitoring data, and transmit the monitoring data to the intelligent edge gateway by wireless communication, the terminal device is connected to the intelligent edge gateway by communication, and is used to provide a trigger instruction to the intelligent edge gateway, wherein the trigger instruction includes a target detection value of the same type as the monitoring data, and the intelligent edge gateway is used to determine the trigger condition satisfied by the initial monitoring data and the target monitoring value, and determine the first action resource to which the trigger condition belongs; determine the execution instruction under the first action resource, and send the execution instruction to the first mechanical equipment corresponding to the first action resource; monitor the first execution effect corresponding to the first action resource according to the real-time monitoring data, and open the second mechanical equipment associated with the first mechanical equipment or close the first mechanical equipment according to the monitoring result of the first execution effect; and / or, according to the real-time monitoring data, resolve the conflict between the second action resource triggered later and the first action resource, the database, the terminal device stores the monitoring data transmitted by the intelligent edge gateway in the database or compares the monitoring data transmitted by the intelligent edge gateway in the database.
[0034] See also Figure 2 , a monitoring method for a wireless sensor for monitoring the condition of mechanical equipment, comprising:
[0035] S1, the intelligent edge gateway receives the monitoring data provided by the sensor;
[0036] S2, the intelligent edge gateway filters and cleans the monitoring data to remove irrelevant and essential data;
[0037] S3, the intelligent edge gateway transmits the filtered data to the terminal device;
[0038] S4. The terminal device will analyze the data and compare it with the database. If the database contains the same or similar data, it will directly trigger the processing instructions of the monitoring data that is the same or similar to the historical data, and send it to the mechanical equipment through the intelligent edge gateway, and the mechanical equipment will execute the instructions.
[0039] Among them, in S4, if it is found that there is no historical monitoring data similar or identical to the database, the instruction is triggered first, and after the mechanical equipment executes the instruction, the monitoring data of this time is stored in the database, and the processing instructions corresponding to the monitoring data of this time are stored. The sensor continues to feed back the monitoring data after the mechanical equipment executes the instruction to the intelligent edge gateway, and the intelligent edge gateway feeds back to the terminal device. The terminal device compares the generation time of the latest data with the generation time of the monitoring data before executing the instruction to determine whether the mechanical equipment has failed to execute the instruction or has an error in executing the instruction. After receiving the secondary monitoring data, the terminal device determines the time limit for the mechanical equipment to solve the received instruction, and stores the analyzed time limit data for solving the instruction in the database.
[0040] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
[0041] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.
Claims
1. A wireless sensor system for monitoring the condition of mechanical equipment, characterized in that: include: Intelligent edge gateways, sensors, databases, and terminal devices, The sensor is connected to the intelligent edge gateway by wireless communication, and is used to continuously collect monitoring data of the mechanical equipment, and transmit the monitoring data to the intelligent edge gateway by wireless communication; The terminal device is communicatively connected to the intelligent edge gateway, and is used to provide a trigger instruction to the intelligent edge gateway, wherein the trigger instruction includes a target detection value of the same type as the monitoring data; The intelligent edge gateway is used to determine the trigger conditions satisfied by the initial monitoring data and the target monitoring value, and determine the first action resource to which the trigger condition belongs; determine the execution instruction under the first action resource, and send the execution instruction to the first mechanical device corresponding to the first action resource; monitoring a first execution effect corresponding to the first action resource according to the real-time monitoring data, and opening a second mechanical device associated with the first mechanical device or closing the first mechanical device according to the monitoring result of the first execution effect; and / or, resolving the conflict between the second action resource triggered later and the first action resource according to the real-time monitoring data; The database, the terminal device stores the monitoring data transmitted by the intelligent edge gateway in the database or compares the monitoring data transmitted by the intelligent edge gateway in the database.
2. A monitoring method for a wireless sensor for monitoring the condition of mechanical equipment, characterized in that: include: S1, the intelligent edge gateway receives the monitoring data provided by the sensor; S2, the intelligent edge gateway filters and cleans the monitoring data to remove irrelevant and essential data; S3, the intelligent edge gateway transmits the filtered data to the terminal device; S4. The terminal device will analyze the data and compare it with the database. If the database contains the same or similar data, it will directly trigger the processing instructions of the monitoring data that is the same or similar to the historical data, and send it to the mechanical equipment through the intelligent edge gateway, and the mechanical equipment will execute the instructions.
3. The monitoring method of the wireless sensor for monitoring the condition of mechanical equipment according to claim 2 is characterized in that: In S4, if it is found that there is no historical monitoring data similar or identical to the database, the instruction is triggered first, and after the mechanical device executes the instruction, the monitoring data of this time is stored in the database, and the processing instruction corresponding to the monitoring data of this time is stored at the same time.
4. The monitoring method of the wireless sensor for monitoring the condition of mechanical equipment according to claim 2 is characterized in that: The sensor continues to feed back the monitoring data after the mechanical equipment executes the instruction to the intelligent edge gateway, which then feeds back the data to the terminal device. The terminal device compares the generation time of the latest data with the generation time of the monitoring data before the execution of the instruction to determine whether the mechanical equipment has failed to execute the instruction or has executed the instruction incorrectly.
5. The monitoring method of wireless sensor for monitoring the condition of mechanical equipment according to claim 4, characterized in that: After the terminal device receives the secondary monitoring data, it determines the timeliness of the solution of the received instruction by the mechanical equipment, and stores the analyzed timeliness of solution data in the database.
6. An intelligent edge gateway for wireless sensors for mechanical equipment status monitoring, characterized in that: It includes an interface module, a data receiving module, an Arm architecture high-end processor, a data cleaning module and a memory.
7. The intelligent edge gateway for mechanical equipment condition monitoring wireless sensor according to claim 6, characterized in that: The data processing module includes a processing unit and an updating unit, wherein: The processing unit is used to perform feature extraction processing on the state information according to a machine learning algorithm or a deep learning algorithm to obtain feature data of the target machine terminal, and analyze and identify the feature data to obtain a state monitoring result of the target machine terminal; The updating unit is used to update the algorithm parameters of the processing unit according to the characteristic data and the state monitoring result to obtain an updated processing unit.
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