An Online Monitoring Method and System for the Status of Internet of Things Devices Based on Mobile Communication

Abstract

The present invention relates to an online monitoring method and system for the status of Internet of Things devices based on mobile communication. The method includes the following steps: periodically collecting the device status data of Internet of Things devices located remotely through a mobile communication network; analyzing the device status data of Internet of Things devices according to the types of Internet of Things devices to determine whether the Internet of Things devices are abnormal; when an Internet of Things device is abnormal, online regulating the operating status of the Internet of Things device according to the device status data. The online monitoring method and system for the status of Internet of Things devices based on mobile communication of the present invention utilize the mobile communication network to monitor Internet of Things devices online, remotely, and periodically. At the same time, when fluctuations occur in Internet of Things devices, status data can also be actively sent and monitored in real time, ensuring the comprehensiveness of online monitoring, avoiding the problem of missed monitoring, and performing real-time control to ensure the safe and stable operation of Internet of Things applications.

Description

Technical Field

[0001] The present invention relates to the field of mobile communications, and particularly to an online monitoring method and system for the state of Internet of Things (IoT) devices based on mobile communications. Background Art

[0002] With the continuous development and progress of computer technology and communication technology, the Internet of Things has been widely applied in various fields of industrial production and daily life. For example, the monitoring and control of the operation status of production lines can be achieved using an IoT platform, and operations such as the detection, control, and metering of gas supply systems can also be realized. Currently, most IoT application platforms are only used for on-site intelligent control and cannot remotely monitor abnormalities, leaving potential safety hazards in the application of this IoT platform and unable to meet the increasingly complex requirements of IoT applications. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an online monitoring method and system for the state of IoT devices based on mobile communications, which can remotely monitor the operation status of each IoT device in the Internet of Things online and control it in real time to ensure the safe and stable operation of IoT applications.

[0004] The technical solution of the present invention for solving the above technical problem is as follows: An online monitoring method for the state of IoT devices based on mobile communications, which is implemented through a monitor, includes the following steps.

[0005] S1, periodically collect the device status data of IoT devices located remotely through a mobile communication network.

[0006] S2, analyze the device status data of the IoT devices according to the types of the IoT devices to determine whether the IoT devices have abnormalities.

[0007] S3, when the IoT devices have abnormalities, online adjust the operation status of the IoT devices according to the device status data.

[0008] On the basis of the above technical solution, the present invention can also be improved as follows.

[0009] Further, a status sensor is configured in the IoT devices.

[0010] When the status sensor senses that the operation status of the IoT device fluctuates, it triggers the IoT device to actively send the device status data of the IoT device to the monitor through a mobile communication network, and sequentially execute S2 and S3.

[0011] Further, the device status data includes any one or a combination of multiple of working voltage data, working current data, and working temperature data.

[0012] Further, S2 specifically includes analyzing the device status data of the Internet of Things devices according to the types of the Internet of Things devices based on the status monitoring model, and determining whether the Internet of Things devices are abnormal.

[0013] Further, each type of the Internet of Things devices is equipped with a corresponding status monitoring model; for any type of the Internet of Things devices, the following steps are further included before S2:

[0014] Establishing a first operation model of the Internet of Things devices in a normal operation state and a second operation model of the Internet of Things devices in an abnormal operation state;

[0015] Collecting the abnormal operation parameter eigenvalues of the Internet of Things devices in a fault state, and obtaining the variance and entropy of the abnormal operation parameter eigenvalues;

[0016] Inputting the variance and entropy of the abnormal operation parameter eigenvalues into the first operation model to obtain a plurality of maximum likelihood estimation values;

[0017] Inputting the abnormal operation parameter eigenvalues and the plurality of maximum likelihood estimation values into the second operation model for training to obtain the status monitoring model.

[0018] Based on the above method for online monitoring of the status of Internet of Things devices based on mobile communication, the present invention further provides a system for online monitoring of the status of Internet of Things devices based on mobile communication.

[0019] A system for online monitoring of the status of Internet of Things devices based on mobile communication, wherein the method for online monitoring of the status of Internet of Things devices is implemented by a monitor, and includes the following modules:

[0020] A device status data acquisition module, which is used to periodically collect the device status data of the Internet of Things devices located remotely through a mobile communication network;

[0021] An abnormal analysis module, which is used to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices and determine whether the Internet of Things devices are abnormal;

[0022] An online regulation module, which is used to online regulate the operation state of the Internet of Things devices according to the device status data when the Internet of Things devices are abnormal.

[0023] Based on the above technical solution, the present invention can be further improved as follows.

[0024] Further, status sensors are configured in the Internet of Things devices;

[0025] The state sensor is used to trigger the Internet of Things device to actively send the device state data of the Internet of Things device to the monitor through a mobile communication network when it senses that the operating state of the Internet of Things device fluctuates.

[0026] Furthermore, the device state data includes any one or a combination of working voltage data, working current data, and working temperature data.

[0027] Furthermore, the anomaly analysis module is specifically configured to analyze the device state data of the Internet of Things device based on a state monitoring model according to the type of the Internet of Things device, and determine whether the Internet of Things device has an anomaly.

[0028] Furthermore, each type of the Internet of Things device is equipped with a corresponding state monitoring model; a state monitoring model establishment module is also included.

[0029] The state monitoring model establishment module is used to establish a first operation model of the Internet of Things device in a normal operating state and a second operation model of the Internet of Things device in an abnormal operating state; collect the abnormal operation parameter characteristic values of the Internet of Things device in a fault state, and obtain the variance and entropy of the abnormal operation parameter characteristic values; input the variance and entropy of the abnormal operation parameter characteristic values into the first operation model to obtain a plurality of maximum likelihood estimation values; input the abnormal operation parameter characteristic values and the plurality of maximum likelihood estimation values into the second operation model for training to obtain the state monitoring model.

[0030] The beneficial effects of the present invention are as follows: An online monitoring method and system for the state of an Internet of Things device based on mobile communication of the present invention uses a mobile communication network to monitor the Internet of Things device online, remotely, and periodically. At the same time, when the Internet of Things device fluctuates, it can also actively send state data and monitor in real time, ensuring the comprehensiveness of online monitoring, avoiding the problem of missed monitoring, and controlling in real time to ensure the safe and stable operation of the Internet of Things application. In addition, during the establishment of the state monitoring model, the variance and entropy of the abnormal operation parameter characteristic values and the maximum likelihood estimation values can be used to accurately construct the state monitoring model, ensuring the accuracy of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flowchart of an online monitoring method for the state of an Internet of Things device based on mobile communication of the present invention;

[0032] Figure 2 is a structural block diagram of an online monitoring system for the state of an Internet of Things device based on mobile communication of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The principles and features of the present invention will be described below in conjunction with the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0034] As Figure 1 shown, an online monitoring method for the status of Internet of Things devices based on mobile communication. The online monitoring method for the status of Internet of Things devices is implemented through a monitor and includes the following steps.

[0035] S1, periodically collect the device status data of Internet of Things devices located remotely through a mobile communication network;

[0036] S2, analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices, and determine whether the Internet of Things devices are abnormal;

[0037] S3, when the Internet of Things devices are abnormal, online adjust the operating status of the Internet of Things devices according to the device status data.

[0038] In this specific embodiment, the present invention also has the following preferred solutions:

[0039] Preferably, a status sensor is configured in the Internet of Things devices;

[0040] When the status sensor senses that the operating status of the Internet of Things device fluctuates, trigger the Internet of Things device to actively send the device status data of the Internet of Things device to the monitor through a mobile communication network, and sequentially execute S2 and S3.

[0041] Preferably, the device status data includes any one or a combination of working voltage data, working current data, and working temperature data.

[0042] Preferably, S2 is specifically to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices based on a status monitoring model, and determine whether the Internet of Things devices are abnormal.

[0043] Preferably, each type of Internet of Things device is provided with a corresponding status monitoring model; for any type of Internet of Things device, the following steps are further included before S2.

[0044] Establish a first operation model of the Internet of Things device in a normal operation state and a second operation model of the Internet of Things device in an abnormal operation state;

[0045] Collect the abnormal operation parameter characteristic values of the Internet of Things device in a fault state, and obtain the variance and entropy of the abnormal operation parameter characteristic values;

[0046] Input the variance and entropy of the abnormal operation parameter eigenvalues into the first operation model to obtain multiple maximum likelihood estimates;

[0047] Input the abnormal operation parameter eigenvalues and multiple maximum likelihood estimates into the second operation model for training to obtain the state monitoring model.

[0048] Based on the above method for online monitoring of the state of Internet of Things devices based on mobile communication, the present invention also provides an online monitoring system for the state of Internet of Things devices based on mobile communication.

[0049] As Figure 2 shown, an online monitoring system for the state of Internet of Things devices based on mobile communication, the method for online monitoring of the state of Internet of Things devices is implemented through a monitor, and includes the following modules,

[0050] Device status data acquisition module, which is used to periodically collect the device status data of Internet of Things devices located remotely through a mobile communication network;

[0051] Abnormal analysis module, which is used to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices to determine whether the Internet of Things devices are abnormal;

[0052] Online regulation module, which is used to online regulate the operation status of the Internet of Things devices according to the device status data when the Internet of Things devices are abnormal.

[0053] In this specific embodiment, the present invention also has the following preferred solutions:

[0054] Preferably, a status sensor is configured in the Internet of Things devices;

[0055] The status sensor is used to trigger the Internet of Things devices to actively send the device status data of the Internet of Things devices to the monitor through a mobile communication network when it senses that the operation status of the Internet of Things devices fluctuates.

[0056] Preferably, the device status data includes any one or a combination of working voltage data, working current data, and working temperature data.

[0057] Preferably, the abnormal analysis module is specifically used to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices based on a state monitoring model to determine whether the Internet of Things devices are abnormal.

[0058] Preferably, each type of Internet of Things device is equipped with a corresponding state monitoring model; a state monitoring model establishment module is also included,

[0059] The state monitoring model establishment module is used to establish a first operation model of the Internet of Things device in a normal operation state and a second operation model of the Internet of Things device in an abnormal operation state; collect abnormal operation parameter characteristic values of the Internet of Things device in a fault state, and obtain the variance and entropy of the abnormal operation parameter characteristic values; input the variance and entropy of the abnormal operation parameter characteristic values into the first operation model to obtain multiple maximum likelihood estimation values; input the abnormal operation parameter characteristic values and the multiple maximum likelihood estimation values into the second operation model for training to obtain the state monitoring model.

[0060] An Internet of Things device state online monitoring method and system based on mobile communication according to the present invention uses a mobile communication network to monitor the Internet of Things device online, remotely, and periodically. At the same time, when fluctuations occur in the Internet of Things device, it can actively send status data and monitor in real time, ensuring the comprehensiveness of online monitoring, avoiding the problem of missed monitoring, and controlling in real time to ensure the safe and stable operation of the Internet of Things application. In addition, during the establishment of the state monitoring model, the variance and entropy of the abnormal operation parameter characteristic values and the maximum likelihood estimation values can be used to accurately construct the state monitoring model, ensuring the accuracy of monitoring.

[0061] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An online monitoring method for the status of Internet of Things devices based on mobile communication, characterized in that: The online monitoring method for the status of Internet of Things devices is implemented by a monitor, and includes the following steps. S1, periodically collect the device status data of Internet of Things devices located remotely through a mobile communication network; S2, analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices, and determine whether the Internet of Things devices are abnormal; S3, when the Internet of Things devices are abnormal, online regulate the operating status of the Internet of Things devices according to the device status data; The specific implementation of S2 is to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices based on a status monitoring model, and determine whether the Internet of Things devices are abnormal; Each type of the Internet of Things devices is equipped with a corresponding status monitoring model; for any type of the Internet of Things devices, before S2, the following steps are further included. Establish a first operating model of the Internet of Things devices in a normal operating state, and establish a second operating model of the Internet of Things devices in an abnormal operating state; Collect the characteristic values of abnormal operating parameters of the Internet of Things devices in a fault state, and obtain the variance and entropy of the characteristic values of the abnormal operating parameters; Input the variance and entropy of the characteristic values of the abnormal operating parameters into the first operating model to obtain multiple maximum likelihood estimates; Input the characteristic values of the abnormal operating parameters and multiple maximum likelihood estimates into the second operating model for training to obtain the status monitoring model.

2. The online monitoring method for the status of Internet of Things devices based on mobile communication according to claim 1, characterized in that: A status sensor is configured in the Internet of Things devices; When the status sensor senses that the operating state of the Internet of Things devices fluctuates, trigger the Internet of Things devices to actively send the device status data of the Internet of Things devices to the monitor through a mobile communication network, and sequentially execute S2 and S3.

3. The online monitoring method for the status of Internet of Things devices based on mobile communication according to claim 1 or 2, characterized in that: The device status data includes any one or a combination of working voltage data, working current data, and working temperature data.

4. An online monitoring system for the status of Internet of Things devices based on mobile communication, characterized in that: The online monitoring method for the status of Internet of Things devices is implemented by a monitor, and includes the following modules. A device status data acquisition module, which is used to periodically collect the device status data of Internet of Things devices located remotely through a mobile communication network; An abnormal analysis module, which is used to analyze the device status data of the Internet of Things devices according to the types of the Internet of Things devices, and determine whether the Internet of Things devices are abnormal; An online regulation module, which is used to online regulate the operating status of the Internet of Things devices according to the device status data when the Internet of Things devices are abnormal; The abnormal analysis module is specifically configured to analyze the device status data of the Internet of Things device based on the status monitoring model according to the type of the Internet of Things device, and determine whether the Internet of Things device has an abnormality; Each type of the Internet of Things device is equipped with a corresponding status monitoring model; the system further includes a status monitoring model establishment module, The status monitoring model establishment module is used to establish a first operation model of the Internet of Things device in a normal operation state and a second operation model of the Internet of Things device in an abnormal operation state; collect the abnormal operation parameter characteristic values of the Internet of Things device in a fault state, and obtain the variance and entropy of the abnormal operation parameter characteristic values; Input the variance and entropy of the abnormal operation parameter characteristic values into the first operation model to obtain a plurality of maximum likelihood estimates; Input the abnormal operation parameter characteristic values and the plurality of maximum likelihood estimates into the second operation model for training to obtain the status monitoring model.

5. The online monitoring system for the status of Internet of Things devices based on mobile communication according to claim 4, wherein: A status sensor is configured in the Internet of Things device; The status sensor is used to trigger the Internet of Things device to actively send the device status data of the Internet of Things device to the monitor through a mobile communication network when it senses that the operation state of the Internet of Things device fluctuates.

6. The online monitoring system for the status of Internet of Things devices based on mobile communication according to claim 4 or 5, wherein: The device status data includes any one or a combination of working voltage data, working current data, and working temperature data.

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