TW201822554A - Data channel diagnosis system and method applied to internet of things which allows management terminal to instantly know the operating status of the network and effectively improves the reliability of the IoT operation - Google Patents

Abstract

The present invention provides a data channel diagnosis system applied to the internet of things and a method thereof. The system includes a traffic monitoring module, a backbone/access network inspection module, a multi-period traffic screening and comparison module, and a processing module. The traffic monitoring module is used to observe the traffic of one or more sensing terminal devices in the sensing layer of the internet of things to provide traffic observation information. The backbone/access network inspection module judges the backbone to access the operating status of the communication equipment for providing the operating status information. The multi-period traffic screening and comparison module historically compares the traffic transmitted by the sensing terminal device to provide the comparison information. The processing module determines and provides the information on the operating status of the internet of things based on the traffic observation information, the operating status information, and the comparison information.

Description

   Data ramp diagnosis system and method applied to internet of things   

The present invention relates to a data ramp diagnostic system and method, and more particularly, to a data ramp diagnostic system and method applied to the operating environment of the Internet of Things.

With the rapid progress of cloud computing and wireless sensor technology, the Internet of Things technology has exploded in recent years. The current Internet of Things is to enable the data sensing unit of the terminal to be deployed in large numbers and to operate for a long time. It needs to have the characteristics of low power consumption, so that the data sensing unit often does not have high-performance computing capabilities. Its function mainly focuses on data collection, and uses simple and low-power communication protocols (such as ZigBee and other protocols) The collected data is transmitted to the management device at the subsequent layer through the adjacent data sensing unit and the data ramp layer by layer.

Since the information sensed by the terminal needs to be transmitted through the layer-by-layer network, when the terminal network senses an abnormal state or the transmission path fails, the management terminal located at the rear layer cannot promptly respond and maintain, making the object The reliability of networked operations has been questioned.

In summary, how to provide a solution that can solve the foregoing problems is a technical problem that needs to be solved in the art.

In order to solve the previously disclosed problem, the object of the present invention is to provide a technical solution for data ramp diagnosis of the Internet of Things.

To achieve the above object, the present invention proposes a data ramp diagnostic system for the Internet of Things and is configured in an operating environment of the Internet of Things. The aforementioned system includes a traffic observation module, a backbone / access network inspection module, a multi-period traffic screening and comparison module, and a processing module. The traffic observation module is used to observe the traffic of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide traffic observation information. The backbone / access network detection module is connected to the backbone access communication equipment under the control of the sensing terminal device, and judges the operation status of the backbone access communication equipment to provide the operation status information. The multi-period traffic screening and comparison module performs historical comparison on the traffic transmitted by the sensing terminal device to provide comparison information. The processing module is connected to a traffic observation module, a backbone / access network inspection module, and a multi-period traffic screening and comparison module. The processing module is based on the traffic observation information, operation status information, and comparison information. Determine and provide information on the operational status of the Internet of Things.

To achieve the above object, the present invention provides a method for diagnosing a data ramp for the Internet of Things and is configured in an operating environment of the Internet of Things. The foregoing method includes the following steps: Observe the traffic of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide traffic observation information. Then, the operation status of the backbone access communication equipment on the sensing terminal device is obtained to provide the operation status information. Furthermore, historical comparison is performed on the traffic transmitted by the sensing terminal device to provide comparison information and according to the flow observation information, operation status information, and comparison information to determine and provide the operation status information of the Internet of Things.

In summary, the data ramp diagnosis system and method for the Internet of Things in this case can let the management end know the network operation status in real time through the above operations, and can effectively improve the reliability of the Internet of Things operation.

NE01 ~ NE06‧‧‧Telecommunication equipment number

R01 ~ R08‧‧‧ route number

DG01 ~ DG04‧‧‧ Data Ramp Number

SG01 ~ SG0104‧‧‧Number of data sensing terminal device

1‧‧‧Data ramp diagnostic system

11‧‧‧Flow Observation Module

12‧‧‧ Backbone / Access Network Inspection Module

13‧‧‧Multi-period traffic screening and comparison module

14‧‧‧Processing Module

2‧‧‧Network Management System

21‧‧‧ Backbone / Access Network and Equipment

3‧‧‧Data Ramp Flow Database

4‧‧‧Route Equipment Database

FIG. 1 is a block diagram of a data ramp diagnosis system for the Internet of Things according to the first embodiment of the present invention.

FIG. 2 is a flowchart of a data ramp diagnosis method for the Internet of Things according to a second embodiment of the present invention.

Figure 3 is a network architecture diagram of the Internet of Things for this case.

Figure 4 is the observation flow chart of the data ramp diagnosis system of this case.

The following describes specific embodiments to illustrate the implementation of the present invention, but it is not intended to limit the scope of the present invention.

Please refer to FIG. 1, which is a block diagram of a data ramp diagnosis system 1 for the Internet of Things according to the first embodiment of the present invention. The aforementioned system is configured in the operating environment of the Internet of Things and includes a traffic observation module 11, a backbone / access network inspection module 12, a multi-period traffic screening and comparison module 13, and a processing module 14. The flow observation module 11 is used to observe the flow of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide flow observation information. The backbone / access network inspection module 12 is connected to the network management system 2 and the backbone / access network and equipment 21 on the sensing terminal device to determine the operation status of the backbone access communication device and provide operation status information. The multi-period traffic screening and comparison module 13 performs historical comparison and provides comparison information on the traffic transmitted by the sensing terminal device. The processing module 14 is connected to the traffic observation module 11, the backbone / access network inspection module 12, and the multi-period traffic screening and comparison module 13. The processing module 14 is based on the traffic observation information, operation status information, and comparison. Information to determine and provide information on the operating status of the Internet of Things.

The aforementioned traffic observation module 11, backbone / access network inspection module 12, multi-period traffic screening comparison module 13, and processing module 14 can be implemented by digital circuits or software modules operating on a processor Of it.

In another embodiment, the aforementioned data ramp diagnostic system 1 is configured at the data ramp layer of the Internet of Things. In another embodiment, the power supply conditions of the aforementioned data ramp layer are better than the power supply conditions of the sensing layer. In another embodiment, the aforementioned processing module 14 determines that the flow observation information has instantaneous flow, and then configures the operating status information as abnormal information. In another embodiment, the aforementioned processing module 14 further considers the traffic observation information according to the sleep period of the sensing terminal device, and configures the operation status information accordingly.

Please refer to FIG. 2, which is a flowchart of a data ramp diagnosis method for the Internet of Things according to a second embodiment of the present invention. The aforementioned method is configured in the operating environment of the Internet of Things and includes the following steps:

S101: Observe the traffic of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide traffic observation information.

S102: Obtain the operation status of the backbone access communication equipment on the sensing terminal device to provide the operation status information.

S103: historically compare the traffic transmitted by the sensing terminal device to provide comparison information; and

S104: Determine and provide the operation status information of the Internet of Things based on the traffic observation information, operation status information, and comparison information.

In another embodiment, the aforementioned method is configured at a data ramp layer of the Internet of Things. In another embodiment, the power supply conditions of the aforementioned data ramp layer are better than the power supply conditions of the perception layer. In another embodiment, the foregoing method determines that the flow observation information has instantaneous flow, and configures the operating status information as abnormal information. In another embodiment, the foregoing method further considers the traffic observation information based on the sleep period of the sensing terminal device, and configures the operating status information accordingly.

The present invention is described below with the first embodiment of the data ramp diagnosis system 1 for the Internet of Things, but the second embodiment of the data ramp diagnosis method for the Internet of Things can also achieve the same or similar technical effects.

Please refer to FIG. 3, which is a network architecture diagram of the Internet of Things. According to the three-layer architecture of the Internet of Things (data transmission layer, data ramp layer, and perception layer), the sensing terminal device located at the lowest level (sensation layer) is used for Collect environmental sensing information, and in order to achieve long-term use and low cost requirements, current approaches to sensing terminal devices mostly use wireless sensors with low-power wireless communication modules and low computing power processors (for example: using the ZigBee protocol Wireless sensors). Because of this, the sensing terminal device cannot transmit long-distance and large amounts of data. Therefore, the data ramp diagnostic system 1 configured on the data ramp layer needs to collect and send data to the data transmission layer of the Internet of Things. Provide management device for calculation and configuration.

The data ramp diagnostic system 1 in this case has a fixed power supply, supports more energy-consuming but long-distance communication capabilities, can receive data collected by sensing terminal devices, and upload it to a data center or cloud computing center. In terms of practical configuration, the data ramp diagnostic system 1 in this case is compatible with public construction and environment and is built in equipment such as street lights, traffic lights, telecommunications boxes, household refrigerators, beverage vending machines ...

The conventional information ramp equipment often causes management blind spots because it does not have computing functions and cannot be checked remotely. In order to solve the conventional technical problems, the data ramp diagnostic system 1 in this case senses the flow of the terminal device through observation, and if there is no data uploaded for a certain data ramp for a long time, or there is a large gap with the historical flow, it is determined that this data ramp may appear Obstacles, if it is further determined that the transmission network connected to the upstream of the data ramp is normal for all levels of equipment and data transmission paths, it can be clearly determined that the data ramp is faulty without the need to actually send workers to the site for inspection, which can save Extensive inspection of manpower.

In addition, when the technology of this case is applied to the natural environment / disaster observation, when the data ramp diagnostic system 1 detects an instantaneous large amount of data transmission, a major natural variation (such as a fire or landslide) may occur. At this time, warning information can be sent. It can also be used as an early warning of disaster response.

The data ramp diagnostic system 1 in this case can be connected to an external data ramp flow database 3 and a routing equipment database 4 (Figure 1) to obtain the necessary information for subsequent interpretation. The aforementioned data ramp flow database 3 stores the flow history data, and when the flow observation module 11 detects a flow anomaly, it starts a multi-period flow screening and comparison module 13 and provides information provided by the data ramp flow database 3 The data is used to determine whether the traffic is really abnormal, so as to start the subsequent backbone / access network inspection module 12 to make a fault judgment.

The aforementioned ramp flow database 3 contains complete ramp flow data. At least the following data and associations need to be established:

(1) Record the number of sensing terminal devices under the data ramp to find out the current number and type of sensing terminal devices under the data ramp.

(2) Record the association between the data ramp and the data sensing terminal device at different points in time, which can be a specific date, the number and type of sensing terminal devices under the ramp on that day.

(3) Record data The number of sensing terminal devices under the ramp and the geographic location of the sensing terminal device data may change. This record can assist obstacle detection.

(4) Record the flow of a single type of sensing terminal device at different time points, for example, the flow of a temperature sensing terminal device at a specific date and time.

The aforementioned routing equipment database 4 has built-in complete routing and equipment data, and can optionally establish the following data and associations:

(1) Detailed routing and equipment information

(2) The general category and model of the equipment used to send different inspection instructions.

The flow observation module 11 can observe the flow of a single terminal device, and can be connected to the data ramp flow database 3 to record the flow of the device. If there is an instantaneous large amount of traffic or the traffic stops, the relevant module is started and the necessary alarm message is issued.

The backbone / access network detection module 12 can test the backbone / access network under the control of a terminal device when the traffic of a terminal device stops, to clarify the obstacle point. The backbone / access network inspection module 12 can optionally have the following functions:

(1) The ability to access and interpret the routing equipment database 4 and perform related queries.

(2) Test the ability of backbone / access network equipment.

(3) Test the ability of a certain route to transmit data.

Multi-period traffic screening and comparison module 13 can use historical traffic data to compare traffic according to different equipment, types, and time periods, and optionally has the following functions:

(1) The ability to access and interpret the data ramp flow database 3, and can perform related queries.

(2) Query a certain terminal device / specific time traffic.

(3) For a certain terminal device, compare the traffic of different periods.

(4) Filter the information of a specific type of sensing terminal device and compare it with historical data.

Please refer to FIG. 4, which is an observation flowchart of the data ramp diagnostic system 1. When the flow observation module 11 finds an abnormal flow S201 (instantaneous large or small flow), the first stage determination is made. And a single type of information (for example: temperature rise), a natural disaster (such as a forest fire) is likely to occur, and S205 can be displayed and notified.

When the flow observation module 11 observes that there is little or no flow from a sensing terminal device, it starts the multi-period flow screening comparison function S203 and queries the data ramp flow database 3) to read the past history of the terminal device Data, if the sensing terminal device has normal traffic in the same time period, but there is no or little traffic this time, the sensing terminal device or the network under its jurisdiction may have obstacles. At this time, the backbone access network is activated. Communication and equipment test function S204, and can perform communication and operation tests on the sensing terminal device itself and the supervised equipment / network. If the sensing terminal device and the supervised equipment / network are tested for normal operation, then It can be determined that the problem occurs on the data ramp connected to the sensing terminal device, so as to clearly indicate the problem, and finally display the result, generate an alarm, and report it.

When the traffic observation module 11 observes that the route (R06) is not transmitting data, it is judged that the data ramp (DG02) may be faulty or the upstream equipment / network of the data ramp may be faulty. It is also judged that there may be no data in this period. Transmission, or the entire group of data sensing terminal devices (SG02) recently performed geographic adjustment, the data found another transmission path (z03) through ZigBee, and uploaded to another data ramp (DG03).

In order to clarify the problem, the data ramp diagnostic system 1 starts a multi-period flow screening and comparison module 13 to read the data of the data ramp flow database 3 for judgment. The data ramp flow database 3 records the number of sensing terminal devices under the data ramp. If there is a data sensing terminal device performing geographic location adjustment, detailed changes and corresponding relationships will be recorded in the database. The multi-period traffic screening and comparison module 13 learns the data sensing terminal device under the data ramp (DG02) through related queries based on the data ramp flow database 3, and has not adjusted the position, which will not cause the phenomenon of no data transmission. , Therefore ruling out geolocation adjustments.

In addition, in order to reduce the energy consumption of the data sensing terminal device and extend the use time limit, a group of data sensing terminal devices may be set to a collective sleep state in a certain period of time. Is there no data transmission time / time at this time? In this case, the multi-period traffic screening and comparison module 13 reads the data ramp flow database 3, finds out the data flow at the same time in the past, and performs a time / flow correspondence comparison. It is learned that the route (R06) has the same period in the past. Receive a certain amount of data transmission, so you can exclude a certain period of time, there is no possibility of data transmission volume.

After eliminating the possibility of position adjustment and time slot variation, the route (R06) does not transmit data. The problem may occur on the upstream network / device or data ramp. To further clarify the problem, the backbone / access network inspection mode is activated in this case. Group 12 reads the routing device database 4 and finds the route from bottom to top, the path passed and the device passed. Take the route R06 in Figure 3 as an example. The devices passed are NE04 and NE01, and the upper layer passed is R02. . After the backbone / access network inspection module 12 obtains detailed routing / device data, it connects to the network management system 2 and sends inspection instructions for these devices / routes one by one to determine whether there is a problem with the network / device, which causes routing (R06 ) No data transmitted. If the network / equipment under the control of the route (R06) has not failed, and the inspection is normal, through the above judgments, you can know that the data ramp (DG02) has failed and needs to be repaired.

In the case of detecting a large number of repeated and homogeneous messages in an instant, such as when the traffic observation module 11 observes the route (R06) to transmit a large amount of homogeneous data in an instant, such as a cluster data sensing terminal device (SG04), Repeatedly send the temperature rise message. At this time, the multi-period flow screening and comparison module 13 is started to read the data on the ramp flow database 3. Through time comparison, it is found that no identical data exists in the past, then the entire group of data sensing terminal devices (SG04 ), In a large-scale mutation situation, in this case, a forest fire may have occurred, so an alert was issued immediately to notify the relevant system.

The above detailed description is a specific description of a feasible embodiment of the present invention, but this embodiment is not intended to limit the patent scope of the present invention. Any equivalent implementation or change that does not depart from the technical spirit of the present invention should be included in Within the scope of the patent in this case.

Claims (10)

    A data ramp diagnostic system for the Internet of Things, configured in the operating environment of the Internet of Things, includes: a flow observation module for observing the flow of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide traffic Observation information; backbone / access network inspection module, connect to the backbone access communication equipment under the control of the sensing terminal device, determine the operating status of the backbone access communication equipment to provide operating status information; multi-period traffic screening The comparison module performs historical comparison of the traffic transmitted by the sensing terminal device to provide comparison information; and the processing module connects the traffic observation module, the backbone / access network inspection module, and multiple time periods Traffic screening and comparison module, wherein the processing module is based on the traffic observation information, the operation status information, and the comparison information to determine and provide the operation status information of the Internet of Things.         The data ramp diagnostic system described in claim 1 is configured at the data ramp layer of the Internet of Things.         The data ramp diagnostic system according to claim 2, wherein the power supply conditions of the data ramp layer are better than the power supply conditions of the perception layer.         The data ramp diagnosis system according to claim 1, wherein the processing module determines that the flow observation information has instantaneous flow, and configures the operation status information as abnormal information.         The data ramp diagnosis system according to claim 1, wherein the processing module further considers the traffic observation information according to the sleep period of the sensing terminal device, and configures the operation status information accordingly.         A data ramp diagnostic method for the Internet of Things, configured in the operating environment of the Internet of Things, comprising: observing the flow of one or more sensing terminal devices in the sensing layer of the Internet of Things to provide flow observation information; obtaining the sensing The backbone of the terminal device receives the operating status of the communication equipment to provide operating status information; historically compares the traffic transmitted by the sensing terminal device to provide comparison information; and according to the traffic observation information and the operating status Information and the comparison information to determine and provide information on the operating status of the Internet of Things.         The data ramp diagnosis method described in claim 6 is configured in the data ramp layer of the Internet of Things.         The data ramp diagnosis method according to claim 7, wherein the power supply conditions of the data ramp layer are better than the power supply conditions of the perception layer.         According to the data ramp diagnosis method described in claim 6, it is determined that the flow observation information has instantaneous flow, and then the operation status information is configured as abnormal information.         The data ramp diagnosis method as described in claim 6, further considers the flow observation information according to the sleep period of the sensing terminal device, and configures the operation status information accordingly.