CN107306408A - Data reporting method and device - Google Patents

Abstract

The present invention provides a data reporting method and device, wherein the method includes: a border router acquires sensor data collected by sensors in the current low-speed wireless personal area network LoWPAN network; the border router performs fusion processing on the sensor data ; The border router judges whether to report the sensor data after fusion processing to the remote server, and adopts the above-mentioned technical solution to solve the related technology. The prior art of the border router is that as long as the data arriving at the border router is received, no matter whether the data is valid or not , will be sent to the external network server as required. This will inevitably increase the burden on the network and waste a lot of network resources, thereby greatly reducing the network burden and saving network resources.

Description

Data reporting method and device

technical field

The present invention relates to the communication field, in particular to a data reporting method and device.

Background technique

With the development of the Internet of Things, the number of IP-enabled embedded devices is also increasing rapidly, and IPv6 (Low power Wireless Personal Area Network) for low-power wireless LAN is a very key technology.

6LoWPAN is an IPv6-based low-speed wireless personal area network standard, namely IPv6overIEEE 802.15.4. The Institute for Electrical and Electronic Engineers (IEEE) 802.15.4 is a working group dedicated to the study of low-speed wireless personal area networks, which is dedicated to the study of compact low-power Inexpensive embedded devices (such as sensors). The standard transmits information using a radio transceiver operating in the 2.4GHz frequency band, which uses the same frequency band as Wi-Fi, but its radio frequency transmission power is only about 1% of Wi-Fi. The emergence of IEEE 802.15.4 has promoted the development of short-distance, low-speed, low-power wireless personal area network. However, IEEE802 15.4 only stipulates the physical layer (PHY) and media access control (Medium Access Control, referred to as MAC) layer standards, and does not involve specifications above the network layer.

There are currently two routes in the 6LoWPAN network:

1) Internal LoWPAN routing: work between LoWPAN networks;

2) Border routing: works between border routers or between border routers and IPv6 routers.

That is to say, if LoWPAN data needs to interact with the external network, it must pass through the border router.

Figure 1 is a scene diagram of 6LoWPAN in the related technology, as shown in Figure 1: the border router is a bridge connecting the 6LoWPAN network and other IP networks; The point of view draws the distinction between border routers and interior routers.

At present, all the sensors will report the collected data to the remote server through the border router for data processing by the remote server. At the same time, there are many problems:

1) There are many sensors that transmit data through the border router: no matter the sensor directly connected to the border router or the data transparently transmitted through the internal router, it needs to be reported to the remote server in time through the border router;

2) In order to save power, the data packet will be very small. If the data transmitted each time is a small data packet, the network resources cannot be fully utilized; moreover, the main application of the sensor is data detection, and timely and effective processing of abnormal data . Then not all normal data needs to be transmitted to the remote server, or not all normal data needs to be transmitted to the remote server in time. The data detected by the sensor in a certain time and area has a certain relevance, and the validity of this information can be seen in general.

To sum up, the border router forwards data without data processing, that is to say: once the border router receives the data from the sensor or the internal LoWPAN route transparently transmitted, no matter whether the data is valid or not, it will send the relevant data to the specified The destination remote server. For remote servers to analyze, this will inevitably reduce the amount of effective information transmitted by the network and waste a lot of network resources.

In the related art, the border router does not process the received data and directly sends it to the remote server, which increases the burden on the network and wastes a lot of network resources. No effective solution has been proposed yet.

Contents of the invention

The embodiment of the present invention provides a data reporting method and device to at least solve the problem of increasing the network burden and wasting a lot of network resources caused by the border router not processing the received data and directly sending it to the remote server in the related art. question.

According to one aspect of the present invention, a method for reporting data is provided, including:

The border router obtains the sensor data collected by the sensors in the current low-speed wireless personal area network LoWPAN network; the border router performs fusion processing on the sensor data; the border router judges whether to report the fusion-processed sensor data to the remote server.

Optionally, the border router judges whether to report the fused sensor data to the remote server according to preset conditions, including:

When the border router determines that the fused sensor data is within a preset normal range, report part of the fused sensor data to the remote server, or prohibit reporting the sensor data;

When the border router determines that the fused sensor data is not within a preset normal range, it reports the fused sensor data to the remote server.

Optionally, before the border router acquires the sensor data collected by the sensors in the current LoWPAN network, the method further includes:

Configure the working mode of the border router, wherein the working mode includes at least one of the following: the time for saving the sensor data; the format for saving the sensor data; deleting the sensor data exceeding the specified time; The sensor data is deleted; the sensor data is fused; the border router reports the fused sensor data to the remote server when specified conditions are met.

Optionally, the method also includes:

The border router receives request information from the remote server, where the request information is used to request sensor data stored in the border router;

The border router reports the requested sensor data to the remote server.

Optionally, the border router performs fusion processing on the sensor data, including:

The border router acquires data characteristics and/or data rules of the sensor.

Optionally, the border router performs fusion processing on the sensor data by at least one of the following methods: algebraic method, graph regression method, wavelet transform, Bayesian estimation, D-S reasoning method, artificial neural network ANN, expert system.

According to another aspect of the present invention, a data reporting device is also provided, which is applied to a border router, including:

An acquisition module, configured to acquire sensor data collected by sensors in the current low-speed wireless personal area network LoWPAN network;

A processing module, configured to perform fusion processing on the sensor data;

The judging module is used to judge whether to report the fused sensor data to the remote server.

Optionally, the judging module is configured to, when the border router judges that the fused sensor data is within a preset normal range, report part of the fused sensor data to the remote The server, or prohibiting the reporting of the sensor data; is also used for reporting the fused sensor data to the remote server.

Optionally, the device further includes: a configuration module configured to configure the working mode of the border router, wherein the working mode includes at least one of the following: time for saving the sensor data; a format for saving the sensor data; Delete sensor data that exceeds a specified time; delete sensor data that exceeds a specified capacity; perform fusion processing on the sensor data; the border router reports the sensor data after fusion processing to the the remote server described above.

According to another aspect of the present invention, a border router is also provided, including the data reporting device described in any one of the above items.

Through the present invention, the border router performs fusion processing on the acquired sensor data and then judges whether to report the fusion processed sensor data to the remote server. The data of the border router, regardless of whether the data is valid or not, will be sent to the external network server as required. This will inevitably increase the burden on the network. The problem of wasting a large amount of network resources greatly reduces the network burden and saves network resources.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a scene diagram of 6LoWPAN in the related art;

FIG. 2 is a schematic diagram of the work of each component of the 6LoWPAN network in the related art;

Fig. 3 is a flowchart of a data reporting method according to an embodiment of the present invention;

4 is a structural block diagram of a data reporting device according to an embodiment of the present invention;

5 is another structural block diagram of a data reporting device according to an embodiment of the present invention;

6 is a schematic flow diagram of a data transmission method in a preferred embodiment of the present invention;

FIG. 7 is a schematic diagram of a complete border router workflow according to a preferred embodiment of the present invention;

Fig. 8 is a working flow chart of the remote server according to the preferred embodiment 2 of the present invention.

detailed description

Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.

In this embodiment, a data reporting method is provided. FIG. 3 is a flowchart of a data reporting method according to an embodiment of the present invention. As shown in FIG. 3 , the process includes the following steps:

Step S302, the border router obtains the sensor data collected by the sensors in the current low-speed wireless personal area network LoWPAN network;

Step S304, the border router performs fusion processing on the sensor data;

Step S306, the border router judges whether to report the fused sensor data to the remote server.

Through the above steps, the border router performs fusion processing on the acquired sensor data and then judges whether to report the fusion processed sensor data to the remote server. The data arriving at the border router, regardless of whether the data is valid or not, will be sent to the external network server as required. This will inevitably increase the burden on the network. The problem of wasting a large amount of network resources greatly reduces the network burden and saves network resources.

There are many ways to realize the above step S306, and in the embodiment of the present invention, it can be realized mainly through the following ways:

When the border router determines that the fused sensor data is within a preset normal range, it reports part of the fused sensor data to the remote server, or prohibits the sensor data from being reported;

When the border router determines that the fused sensor data is not within a preset normal range, it reports the fused sensor data to the remote server.

That is to say, in the embodiment of the present invention, a data processing mechanism is set for the border router, not all data must be uploaded to the remote server, and only data satisfying certain conditions can be sent to the remote server in the external network.

Before the border router acquires the sensor data collected by the sensor, in the technical solution of the embodiment of the present invention, the working mode of the border router can also be configured, wherein the working mode includes at least one of the following: the time for saving the sensor data; the format for saving the sensor data ;Delete sensor data that exceeds the specified time; delete sensor data that exceeds the specified capacity; perform fusion processing on sensor data; the border router reports the sensor data after fusion processing to the remote server when the specified conditions are met. It is noted that the setting of the working mode may be configured in various ways according to actual conditions, which is not limited in this embodiment of the present invention.

Certainly, for the data stored by the border router within a certain period of time, in addition to being able to report to the remote server, the embodiment of the present invention also provides the following implementation: the border router receives the request information from the remote server, wherein the request information is used for Request the sensor data stored in the border router; the border router will report the requested sensor data to the remote server, that is, if the remote server needs data, the border router can compress and package the data so that the remote server in the external network can query, which reduces a lot of The number of times and data interacted with the external network. In addition, the technical solution of the embodiment of the present invention also increases the data of each data packet. Therefore, the utilization rate of each network data packet is effectively improved, thereby saving network resources.

In the embodiment of the present invention, the specific implementation of step S304 may be that the border router mentioned in the embodiment of the present invention obtains the data characteristics and/or data rules of the sensor, or it may be that the border router performs at least one of the following ways to process the sensor data Perform fusion processing: algebraic method, graphical regression method, wavelet transform, Bayesian estimation, D-S reasoning method, artificial neural network ANN, expert system, or other methods that exist in the prior art, and the embodiments of the present invention do not make any reference to this limited.

The above technical solution is explained below with an example. The main solution can be realized through the technical solutions embodied in steps 1 to 6:

Step 1: The data that needs to be sent to the external network (which can be understood as a remote server) arrives at the border router.

Step 2: The border router performs data fusion according to a preset learning mechanism.

At present, data fusion is mostly used in fields related to data acquisition, and it is widely used. Its essence is to apply a certain algorithm to multiple remote sensing image data detected by the same target in a unified geographic coordinate system to generate a new image information that can more effectively represent the target. Synthesize the multi-band information of a single sensor or the information provided by different types of sensors, eliminate the redundancy and contradictions that may exist between multi-sensor information, complement each other, improve the timeliness and reliability of remote sensing information extraction, and improve the use of data efficiency.

Step 3: The border router reports data according to the preset judgment rules and reporting mechanism;

The data of certain characteristic values collected by the sensor or after data fusion within a period of time are normal. At this time, according to the preset reporting mechanism: report the complete data characteristics of the detected area obtained through the prefabricated data fusion algorithm within a certain period of time or only part of the sensor data, not all sensor data, or do not report according to the preset requirements any data.

If some characteristic values of collected data or data fusion are abnormal, they can be directly reported to the remote server.

Step 4: The border router retains the data within a certain period of time.

Step 5: When the border router receives a request from the remote server: request to view historical data, the border router compresses the relevant data as required and transmits it to the remote server.

Here, the compressed and packaged data will also be smaller than the normally transmitted data per package. Because: In addition to the compression algorithm that will compress and reduce the data, each packet of independently transmitted small packet data will have a packet header and a packet tail, and when the data in a period of time is uniformly packaged and compressed to make it a large data, it will increase the IP network. transmission efficiency. Improve network transmission efficiency.

Step 6: The border router clears the data exceeding the reserved time, and no longer saves it.

To sum up, in the technical solution of the embodiment of the present invention, a learning mechanism is set in the border router, and through data fusion, a basic judgment can be made on the trend and risk of the collected data. When the detected data is at risk, the remote server will be notified in time. At the same time, the border router will retain the data collected for a certain period of time as required for the remote server to query, which greatly saves network resources and improves network utilization.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) execute the method of each embodiment of the present invention.

Example 2

In this embodiment, a data reporting device is also provided, which is applied to a border router. The device is used to realize the above-mentioned embodiments and preferred implementation modes, and those that have already been described will not be repeated. As used below, the term "module" may be a combination of software and/or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

Fig. 4 is a structural block diagram of a data reporting device according to an embodiment of the present invention. As shown in Fig. 4, the device includes:

Obtaining module 40, for obtaining the sensor data that the sensor in the current low-speed wireless personal area network LoWPAN network collects;

A processing module 42, configured to perform fusion processing on the sensor data;

The judging module 44 is used to judge whether to report the fused sensor data to the remote server.

Through the comprehensive functions of the above-mentioned modules, the technical solution of performing fusion processing on the acquired sensor data and then judging whether to report the fusion processed sensor data to the remote server solves the problem of the existing technology of the border router in the related technology. The data arriving at the border router, regardless of whether the data is valid or not, will be sent to the external network server as required. This will inevitably increase the burden on the network. The problem of wasting a large amount of network resources greatly reduces the network burden and saves network resources.

Optionally, the judging module 44 is configured to report part of the fused sensor data to the remote server when the border router determines that the fused sensor data is within a preset normal range, or prohibit reporting to the sensor data; it is also used to report the fused sensor data to the remote server when the border router determines that the fused sensor data is not within a preset normal range.

FIG. 5 is another structural block diagram of a data reporting device according to an embodiment of the present invention. As shown in FIG. 5 , the above-mentioned device further includes: a configuration module 46 configured to configure the working mode of the border router, wherein the working mode includes at least the following One: the time to save sensor data; the format of saving sensor data; delete sensor data exceeding the specified time; delete sensor data exceeding the specified capacity; the way of fusion processing sensor data; the border router meets the specified conditions Report the fused sensor data to the remote server.

In an embodiment of the present invention, a border router is also provided, including any one of the above data reporting devices.

It should be noted that the above-mentioned modules can be realized by software or hardware. For the latter, it can be realized by the following methods, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned modules can be combined in any combination The forms of are located in different processors.

The technical solutions of the above-mentioned embodiments will be described in detail below in conjunction with preferred embodiments.

Preferred Embodiment 1

Fig. 6 is a schematic flowchart of a data transmission method in a preferred embodiment of the present invention, from top to bottom. Describes the schematic diagram of the workflow of data reaching the border routing, including the following steps:

Step S602: the 6LoWPAN network transmits the collected data to the border router.

Step S604: the border router saves the data according to the prefabricated rules and performs data fusion. Data fusion will derive the characteristics and regularity of the collected data.

The prefabricated data fusion methods include but not limited to: algebraic method, graphical regression method, wavelet transform, Bayesian (Bayes) estimation, D-S reasoning method (Dempster-Shafter), ANN, expert system, etc.

Step S606: the border router judges the data fusion result according to the prefabricated standard.

Step S608: When the data is normal, report or not report the data according to the preset requirements, that is, the processing flow ends;

Step S610: When the data is abnormal, report to the remote server.

FIG. 7 is a schematic diagram of a complete border router workflow according to a preferred embodiment of the present invention, specifically including:

Step S702: Prefabricate the working mode and working method of the border router, including: data storage rules, data fusion methods, data judging rules, data reporting mode, etc.

Among them, the data storage rules include: when the data arrives at the border router, when to store it, in what format, how long to store the data, and deletion rules.

For example: after the data arrives at the border router, it can be saved immediately; it can be stored in the form of excel or xml; the storage content includes: the time when the data arrives at the border router, the sensor number and sampling data, etc.; the data can be stored by time or by capacity, exceeding The data of this time or capacity is deleted or compressed and then transmitted to other servers.

Data fusion methods: including but not limited to algebraic method, graphical regression method, wavelet transform, Bayesian (Bayes) estimation, D-S reasoning method (Dempster-Shafter), ANN, expert system, etc.

Data Judgment Rules: Refers to whether the collected data or fusion features meet the preset requirements. Different detection systems have different preset values.

Data reporting mode: refers to what conditions the collected data or fusion features meet to be reported to the remote server, and in what form.

Step S704: After the prefabrication is completed, the border router starts working.

Step S706: When data reaches the border router through the 6LoWPAN network, the border router performs data storage and fusion as required.

Step S708: Judging the data fusion result according to the prefabricated judging rules.

Step S710: Report data according to prefabricated conditions, and the data result is normal: this process ends. Report or not report data according to preset requirements.

Step S712: Abnormal data result: report to the remote server. The remote server operates based on the processing results.

In addition, the border router reports according to prefabricated requirements: the reported content may be a specific message, or specific data or characteristics of data.

Preferred Embodiment 2

Since the application prefabrication conditions of different 6LowPAN networks are also different and have strong specialization, there is no unified prefabrication condition. The preferred embodiments of the present invention explain the above technical solution in conjunction with specific scenarios and use cases.

Use Case 1: Remote Watermark Pollution Detection

The sensor laid for water mark pollution detection is a professional pollution detection sensor. Output indicators are professional.

Step 1: Prefabricate the working mode and working method of the border router, including: data storage rules, data fusion methods, data judgment rules, data reporting mode, etc.

For example, neural networks can be used to perform fusion learning on related data. Thus, the relevant laws of water streak pollution can be obtained. For example, a certain season or a certain area is seriously polluted. Thus, some preparations can be made for the prevention of pollution. At the same time, it is determined that some abnormal data are interference data, which do not conform to the law and may be caused by abnormal behavior. Correspondingly, these interference data may not be processed.

Data Judgment Rules: According to the professionalism of water mark detection, it can be set that the detection data reaches a certain value, that is, it is judged that the water mark is polluted. When the detection value reaches another preset value, it is judged as serious pollution.

Data reporting mode: You can choose to only report messages or carry data for reporting and other rules. The reported data can be the exceeded data of the current time, or the fluctuation law within a certain period of time.

For example: when the data is abnormal, it can be reported according to the reporting rules.

When the data is normal, the data fusion results within a specified time period or the packaged raw data can be reported periodically.

Step 2: After the prefabrication is completed, the border router starts to work.

Step 3: When data reaches the border router through the 6LoWPAN network, the border router performs data storage and fusion as required.

Step 4: Judging the data fusion result according to the prefabricated judgment rules.

Step 5: Report data according to prefabricated conditions.

Use Case 2: Remote Body Temperature Detection

With the development of science and technology, remote monitoring of human or animal body indicators will become more and more common.

Step 1: Prefabricate the working mode and working method of the border router, including: data storage rules, data fusion methods, data judgment rules, data reporting mode, etc.

According to the particularity of the collected data, choose the appropriate data fusion method. For example: expert systems, etc. Through fusion, it is possible to obtain when the highest body temperature and the lowest body temperature appear in a day, and also to obtain the change rule of human body temperature with seasons and ages, etc. The body temperature characteristics of certain groups of people can also be obtained.

According to the body temperature, set the threshold value of the body temperature as required, for example: if the temperature exceeds a certain value, it is considered a high fever, and if it is lower than a certain value, it is considered a low fever. At the same time, different individuals need to be treated differently, and prefabricated settings can be made based on the body temperature changes of data fusion.

You can choose to only report messages and carry data to report and other rules. The reported data can be the exceeded data of the current time, or the fluctuation law within a certain period of time.

When the data is abnormal, it can be reported according to the reporting rules.

When the data is normal, the data fusion results within a specified time period or the packaged raw data can be reported periodically.

Step 2: After the prefabrication is completed, the border router starts to work.

Step 3: When data reaches the border router through the 6LoWPAN network, the border router performs data storage and fusion as required.

Step 4: Judging the data fusion result according to the prefabricated judgment rules.

Step 5: Report data according to prefabricated conditions:

Fig. 8 is the working flowchart of the remote server according to preferred embodiment 2 of the present invention, as shown in Fig. 8:

Step S802: When the remote server receives the message reported by the border router as required or in view of the analysis of daily data, the remote router sends a data request message to the border router, requesting the border router to report relevant data.

Step S804: the border router packs the data within a certain period of time according to the requirements, according to a certain compression format, and feeds the data back to the border router.

The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the above-mentioned storage medium may be configured to store program codes for performing the following steps:

S1, the border router acquires sensor data collected by sensors in the current low-speed wireless personal area network LoWPAN network;

S2, the border router performs fusion processing on the sensor data;

S3, the border router judges whether to report the fused sensor data to the remote server.

Optionally, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk Various media that can store program codes such as discs or optical discs.

Optionally, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and optional implementation manners, and details are not repeated in this embodiment.

Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Alternatively, they may be implemented in program code executable by a computing device so that they may be stored in a storage device to be executed by a computing device, and in some cases in an order different from that shown here The steps shown or described are carried out, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps among them are fabricated into a single integrated circuit module for implementation. As such, the present invention is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (10)

1. A data reporting method, characterized in that, comprising: The border router obtains the sensor data collected by the sensors in the current low-speed wireless personal area network LoWPAN network; The border router performs fusion processing on the sensor data; The border router determines whether to report the fused sensor data to the remote server. 2. The method according to claim 1, wherein the border router judges whether to report the fused sensor data to the remote server according to preset conditions, including: When the border router determines that the fused sensor data is within a preset normal range, report part of the fused sensor data to the remote server, or prohibit reporting the sensor data; When the border router determines that the fused sensor data is not within a preset normal range, it reports the fused sensor data to the remote server. 3. The method according to claim 1, wherein, before the border router obtains the sensor data collected by sensors in the current LoWPAN network, the method further comprises: Configure the working mode of the border router, wherein the working mode includes at least one of the following: the time for saving the sensor data; the format for saving the sensor data; deleting the sensor data exceeding the specified time; The sensor data is deleted; the sensor data is fused; the border router reports the fused sensor data to the remote server when specified conditions are met. 4. method according to claim 1, is characterized in that, described method also comprises: The border router receives request information from the remote server, where the request information is used to request sensor data stored in the border router; The border router reports the requested sensor data to the remote server. 5. The method according to claim 1, wherein the border router performs fusion processing on the sensor data, comprising: The border router acquires data characteristics and/or data rules of the sensor. 6. The method according to claim 1, wherein the border router fuses the sensor data by at least one of the following methods: algebraic method, graphical regression method, wavelet transform, Bayesian estimation, D-S Inference method, artificial neural network ANN, expert system. 7. A data reporting device applied to a border router, characterized in that it comprises: An acquisition module, configured to acquire sensor data collected by sensors in the current low-speed wireless personal area network LoWPAN network; A processing module, configured to perform fusion processing on the sensor data; The judging module is used to judge whether to report the fused sensor data to the remote server. 8. The device according to claim 7, wherein the judging module is configured to, when the border router judges that the fused sensor data is within a preset normal range, convert the fused sensor data into Report part of the sensor data to the remote server, or prohibit the sensor data from being reported; it is also used to send all the sensor data to the The sensor data after the fusion processing is reported to the remote server. 9. The device according to claim 7, further comprising: The configuration module is used to configure the working mode of the border router, wherein the working mode includes at least one of the following: the time for saving the sensor data; the format for saving the sensor data; deleting the sensor data exceeding the specified time; Deleting sensor data that exceeds a specified capacity; performing fusion processing on the sensor data; the border router reports the sensor data after fusion processing to the remote server when specified conditions are met. 10. A border router, characterized by comprising: the data reporting device according to any one of claims 7-9.