WO2017107713A1

WO2017107713A1 - Wifi-based real-time dynamic tracking method and system

Info

Publication number: WO2017107713A1
Application number: PCT/CN2016/106424
Authority: WO
Inventors: 尚留记; 李洪刚; 杨平; 易称福
Original assignee: 深圳四博智联科技有限公司
Priority date: 2015-12-25
Filing date: 2016-11-18
Publication date: 2017-06-29
Also published as: CN106411630A

Abstract

Provided are a WiFi-based real-time dynamic tracking method and system. The method comprises: WiFi detectors detecting and extracting data information about a device to be detected within a WiFi coverage area; filtering the data information according to a pre-set filtering rule, so as to generate target information about the device to be detected; a cloud server receiving and processing the target information transferred by all the WiFi detectors in communication connection therewith, so as to obtain position information about the device to be detected, and generating report information corresponding to the device to be detected; a mobile terminal APP receiving and displaying the report information. By combining WiFi detectors, a cloud server and a mobile terminal APP, and by displaying, on the mobile APP, relevant position information about a device to be detected, it is convenient for a user to view the relevant position information about the device to be detected, so as to realize the real-time dynamic tracking of the device to be detected. By using a dual-frequency detection unit, it is ensured that WiFi detectors can capture data information about two frequency bands, and by filtering data that is not of interest, a data parsing pressure of a cloud server is relieved, thereby improving the efficiency.

Description

Real-time dynamic tracking method and system based on WIFI

Technical field

The present invention relates to the field of wireless communication technologies, and in particular, to a WIFI-based real-time dynamic tracking method and system.

Background technique

With the explosive growth of WIFI smart devices, WIFI detection technology is widely used in device positioning, device communication, tracking attendance and other services. The typical WIFI detection system consists of two parts: WIFI detector and cloud server. This system is easy to implement and relatively low cost. However, this WIFI detection system has the following disadvantages: 1. The WIFI detector uses single frequency detection and cannot be realized. The dual-frequency function makes it incompatible with some devices to be tested. Second, the WIFI detector has a single function and only has a detection function, and needs to be separately arranged. 3. After the WIFI data information of the WIFI detector is captured, an effective filtering mechanism is not set, resulting in The cloud server is under pressure and the data analysis is difficult. Fourth, the service software that is not equipped with the WIFI detector is not configured, and the user is inconvenient.

Therefore, there is an urgent need for a WIFI-based real-time dynamic tracking method and system capable of realizing dual-frequency detection and combining data filtering analysis, cloud server data processing and mobile APP.

Summary of the invention

The object of the present invention is to provide a WIFI-based real-time dynamic tracking method and system capable of realizing dual-frequency detection and integrating data filtering analysis, cloud server data processing and mobile APP.

In order to solve the above technical problems, the invention adopts the technical solution described below. A WIFI-based real-time dynamic tracking method includes the following steps: a WIFI detector detects and extracts data information of a device under test in a WIFI coverage area; and filters the data information according to a preset filtering rule to generate the device to be tested. Target information, where the target information includes at least an RSSI strength, a MAC address, and a WIFI detector number; the cloud server receives and processes the target information transmitted by all WIFI detectors that are in communication connection with the cloud server to obtain the location of the device to be tested. Information, and generating report information corresponding to the device to be tested; the mobile APP receives and displays the report information.

Preferably, the target information further includes a device entry time and an exit time to be tested.

Preferably, the report information includes at least the cloud server receiving the target information, and analyzing the location information of the device to be tested according to the RSSI strength and the MAC address.

Preferably, the mobile APP analyzes the access quantity of the device under test, analyzes the real-time time of the detection site, and the related information between the traffic of the device/device under test according to the traffic change, and displays the information about the presence of the person concerned or the device under test. Communication data information and activity information are separately labeled.

Preferably, the communication mode of the WIFI detector and the cloud server is WIFI, 3G, 4G or LAN.

A real-time dynamic tracking system based on WIFI, comprising a WIFI detector, a cloud server and a mobile APP, wherein the WIFI detector comprises: a dual-frequency detection unit for detecting and acquiring data information of the device to be tested within the WIFI coverage range a filtering unit, configured to filter the data information according to a preset filtering rule, to generate target information of the device to be tested, where the target information includes at least an RSSI strength, a MAC address, and a WIFI detector number; the first communication unit, The first sending unit is configured to send the generated target information to the cloud server; the cloud server includes: a second communication unit, configured to establish a communication connection with the first communication unit; a first receiving unit, configured to receive target information of the device to be tested transmitted by the first sending unit of the WIFI detector; and a processing unit, configured to analyze and process the target information to obtain location information of the device to be tested, and Generating report information corresponding to the device to be tested; a second sending unit, configured to transmit the report information to the mobile APP; The mobile terminal APP includes: a second receiving unit, configured to receive report information, where the second sending unit is configured; and a display unit, configured to display the report information.

Preferably, the mobile APP further includes a traffic monitoring unit and a labeling unit, and the traffic detecting unit is configured to detect a traffic change, analyze the access quantity of the device to be tested, analyze the real-time time of the detection site, and the traffic of the personnel/device under test. The associated information is used to separately mark the appearance information, the communication data information, and the activity information of the concerned person/device under test.

The beneficial technical effect of the present invention is that the WIFI-based real-time dynamic tracking method and system detect and acquire the data information of the device to be tested through the WIFI detector, and filter the data that is not concerned by the preset filtering rule to generate The target information of the device to be tested, the cloud server receives and processes the target information to generate report information corresponding to the to-be-detected device, and displays the report information through the mobile APP. The invention combines the WIFI detector, the cloud server and the mobile APP, and displays the relevant location information of the device to be tested on the mobile APP, thereby facilitating the user to view the relevant location information of the device to be tested, so as to realize the real-time operation of the device to be tested. Dynamic tracking. At the same time, the dual-frequency detection unit is adopted to ensure that the WIFI detector can simultaneously capture the data information of the two frequency bands, and filter the data that is not concerned by the filtering mechanism, thereby reducing the data analysis pressure of the cloud server, thereby improving the efficiency.

DRAWINGS

FIG. 1 is a flowchart of a WIFI-based real-time dynamic tracking method according to a preferred embodiment.

2 is a structural block diagram of a WIFI-based real-time dynamic tracking system according to a preferred embodiment.

3 is a block diagram showing the structure of the WIFI detector of FIG. 2.

4 is a structural block diagram of the cloud server of FIG. 2.

FIG. 5 is a structural block diagram of the mobile APP in FIG. 2.

detailed description

The invention will be further described below in conjunction with the drawings and embodiments in order to provide a further understanding of the invention.

Referring to FIG. 1, a flow chart of a WIFI-based real-time dynamic tracking method provided in the preferred embodiment. The WIFI-based real-time dynamic tracking method 10 is applied to a communication terminal, and includes the following steps:

101: The WIFI detector detects and extracts data information of the device to be tested within the coverage of the WIFI;

Specifically, in this embodiment, the WIFI detector includes a 2.4G and a 5G wireless module, and is configured to capture a probe packet and a data packet of the device to be tested. IEEE in wireless transmission In the 802.11 protocol, each AP is required to broadcast a frame beacon to the surrounding device under test at a certain time to inform the surrounding devices of the device to be tested. At the same time, each device under test also periodically sends a probe detection frame to see if there is any Available AP hotspots. According to the TCP/IP protocol, the probe packets and data packets of the device under test have a standard protocol format, of which IEEE 802.11 usually supports 1-13 channels in 2.4G, including 1-11 channels in China and 4 channels in 5G. In the process of capturing data information, on the one hand, it must ensure the acquisition time of each channel. To ensure the real-time nature of each channel switch, it is guaranteed to capture the data packet. Therefore, the channel scanning mechanism can be implemented to fix the channel scanning period to 10~20ms, which ensures that no data packets are leaked, and the WIFI detector detects the data packets of the device under test and extracts relevant data information.

The data information includes a MAC address, an RSSI strength, a timestamp, and communication data, and then filtered according to a preset filtering rule, and then generates a target information by using a WIFI detector number, where the target includes an entry time of the device to be tested, an RSSI strength, a MAC address, and WIFI detector number and the frequency of entry and exit of the device under test.

102: Filter data information according to a preset filtering rule to generate target information of the device to be tested, where the target information includes at least an RSSI strength, a MAC address, and a WIFI detector number.

Specifically, in this embodiment, the target information further includes an entry time and an exit time of the device to be tested, and is used to record the dynamics of the test to be tested. The filtering rule is that the same MAC address retains only the strongest point of the RSSI signal, filters out the wireless signal whose signal is weaker than -80DB, filters out the whitelisted MAC address, adds a new MAC address table, and reduces the data information by the filtering rule. Then, the entry time of each device to be tested is recorded, the signal strength changes every 5 minutes, and the frequency of entry and exit of the device to form target information, and sent to the cloud server through WIFI, 3G, 4G or LAN. Among them, when WIFI communication, the router works in the Station mode, and the SSID, the username, and the password can be set to connect to the public network, and the data is sent to the cloud server through the public network. 3G/4G communication mode, mobile communication network of mobile, China Unicom and telecommunication network can be selected, and the mobile data traffic of the operator can be purchased, and the data can be sent to the cloud server. In the LAN mode, the LAN cable is connected, and the data can be sent to the cloud server through the local area network. By setting a filtering rule in the WIFI detector, the data information that is not of interest is filtered out, thereby forming effective target information, and transmitting the target information to the cloud server, thereby reducing the pressure on the cloud server and reducing the difficulty of data analysis. And improve efficiency.

103: The cloud server receives and processes the target information transmitted by all WIFI detectors that are in communication connection with the network server to obtain location information of the device to be tested, and generates report information corresponding to the device to be tested.

Specifically, in this embodiment, the cloud server can simultaneously connect multiple WIFI detectors and receive target information transmitted by all WIFI detectors. First, the cloud server establishes a communication connection with the WIFI detector to ensure stable data transmission. After receiving the target information, the cloud server analyzes and processes the target information to obtain the location information of the device to be tested, and generates a report corresponding to the device to be tested. information.

After the cloud server receives the target information, the cloud server analyzes the location information of the device to be tested and the device to be tested according to the RSSI strength and the MAC address, and generates an online schedule, a frequency appearing table, and a blacklist/whitelist warning table of the device to be tested. And combining the target information of different WIFI detectors, analyzing the running track map, the moving trend graph and the active point graph of the device under test, and the related report information is stored and sent to the mobile APP in a relational database.

The cloud server provides a variety of interfaces to ensure that the mobile APP can call the interface to obtain data for the convenience of the customer. In addition, for the high reliability of data, the cloud server also sets up a hot redundant server to ensure seamless switching to the hot redundant server when the cloud server goes wrong.

104: The mobile APP receives and displays the report information.

Specifically, in this embodiment, the mobile terminal APP receives the report information transmitted by the cloud server, and displays historical information such as the device to be tested, report information such as real-time data, and the like. The mobile APP is matched with the WIFI detector, and the report information is displayed in the form of a chart through the mobile APP, so that the user can view and improve the user experience.

In this embodiment, the mobile APP analyzes the access quantity of the device under test, analyzes the real-time time of the detection site, and the related information between the traffic of the personnel and the device under test according to the traffic change, and displays the information about the person concerned/device under test. The communication data information and the activity information are separately marked, so that the user can quickly grasp the dynamic information of the person concerned/device under test.

Referring to FIG. 2, a structural block diagram of a WIFI-based real-time dynamic tracking system provided in the preferred embodiment. The WIFI-based real-time dynamic tracking system 20 includes a WIFI detector 21, a cloud server 22, and a mobile APP. twenty three.

Referring to Figure 3, a block diagram of the WIFI detector. The WIFI detector 21 includes a dual-frequency detecting unit 211 for detecting and acquiring data information of the device to be tested in the coverage area of the WIFI. The filtering unit 212 is configured to filter the data information according to the preset filtering rule to generate target information of the device to be tested. The target information includes at least an RSSI strength, a MAC address, and a WIFI detector number. The first communication unit 213 is configured to establish a communication connection with the cloud server 22, and the first sending unit 214 sends the generated target information to the cloud server 22.

Specifically, the dual-frequency detecting unit 211 includes 2.4G and 5G wireless modules for capturing probe packets and data packets of the device to be tested. IEEE in wireless transmission In the 802.11 protocol, each AP is required to broadcast a frame beacon to the surrounding device under test at a certain time to inform the surrounding devices of the device to be tested. At the same time, each device under test also periodically sends a probe detection frame to see if there is any Available AP hotspots. According to the TCP/IP protocol, the probe packets and data packets of the device under test have a standard protocol format, of which IEEE 802.11 usually supports 1-13 channels in 2.4G, including 1-11 channels in China and 4 channels in 5G. In the process of capturing data information, on the one hand, it must ensure the acquisition time of each channel. To ensure the real-time nature of each channel switch, it is guaranteed to capture the data packet. Therefore, the channel scanning mechanism can be implemented to fix the channel scanning period to 10~20ms, which ensures that no data packets are leaked, and the WIFI detector detects the data packets of the device under test and extracts relevant data information.

The filtering rule is that the same MAC address retains only the strongest point of the RSSI signal, filters out the wireless signal whose signal is weaker than -80DB; filters out the whitelisted MAC address; adds a new MAC address table, and uses the filtering rule to streamline the data information. Further, the entry time of each device to be tested is recorded, the signal strength changes every 5 minutes, and the frequency of entry and exit of the device to form target information, which includes the entry time, RSSI strength, and MAC address of the device to be detected. , WIFI detector number and the frequency of entry and exit of the device to be tested. Send to the cloud server via WIFI, 3G, 4G or LAN. Filtering by the filtering unit 212 to filter out the data information that is not of interest, thereby forming effective target information, and transmitting the target information to the cloud server, thereby reducing the pressure on the cloud server 22, reducing the difficulty of data analysis, and improving effectiveness.

Referring to FIG. 4, a structural block diagram of the cloud server. The cloud server 22 includes a second communication unit 221 for establishing a communication connection with the first communication unit 213. The first receiving unit 222 is configured to receive target information of the device to be tested transmitted by the first sending unit 214 of the WIFI detector 21; The processing unit 223 is configured to analyze the processing target information to obtain the location information of the device to be tested, and generate report information corresponding to the device to be tested. The second sending unit 224 is configured to send the report information to the mobile APP. twenty three.

In this embodiment, the second communication unit 221 and the first communication unit 214 establish a connection, and ensure real-time transmission of the target information through a heartbeat packet mechanism to prevent mis-crawling and leaking. The processing unit 223 analyzes and processes the received target information to obtain location information corresponding to the device to be tested, and generates corresponding report information, and stores the report information in a relational database, so that the mobile APP 23 Receive and display.

The cloud server 22 provides a variety of interfaces to ensure that the mobile APP can call the interface to obtain data for the convenience of the customer. In addition, for the high reliability of the data, the cloud server 22 sets a hot redundant server to ensure that the cloud server has a problem, and can seamlessly switch to the hot redundant server, thereby ensuring the stability of the system 20.

Referring to FIG. 5, a structural block diagram of the mobile APP. Mobile APP The second receiving unit 231 is configured to receive the report information sent by the second sending unit 224, and the display unit 232 is configured to display the report information.

In this embodiment, the mobile APP 23 preferably includes a flow monitoring unit 233 and an annotating unit 234. The traffic detection unit 233 is configured to detect a traffic change, analyze the access quantity of the device to be detected, analyze the real-time time of the detection site, and the association information between the traffic of the personnel/to-be-detected device; the labeling unit 234 is configured to The appearance information, communication data information and activity information of the device are separately marked, so that the user can quickly grasp the dynamic information of the person concerned/device under test.

The system 20 can be used to detect equipment to be tested and personnel attendance statistics. If the WIFI detector is deployed in a shopping mall, a restaurant, or a tourist attraction, the dual-frequency detection module 211 of the WIFI detector 21 detects the data information of the device under test in the WIFI range in the occasion, and obtains the MAC address of each device to be tested and At the time of the login, the application filtering unit 212 filters out the device with the MAC address to be tested, and forcibly supplies the online MAC address table. The dual-frequency detection module 211 continuously scans the device under test and records changes in the online MAC address table, thereby transmitting the data to the cloud server 22 via LAN, WIFI, and the like. After the cloud server 22 receives the data, the processing unit 223 calculates the online time and the specific time stamp of each device to be tested, and generates an icon, which is sent to the mobile device APP for the user to view.

For example, the system 20 can be applied to the employee attendance statistics, and the employee name is firstly matched with the corresponding device to be tested, and the MAC address of the device to be tested is bound to the cloud server, and the device to be tested can be a computer or a mobile phone. Or other WIFI devices. The WIFI detector 21 is deployed in an office or a factory building. The dual-frequency detection module 211 acquires the MAC address of the device under test, the RSSI strength, and the timestamp of the appearance/departure, and sends the data to the cloud server 22. After receiving the MAC address, the RSSI strength data, and the time information, the cloud server 22 maps to different personnel through the MAC address, and obtains the change of the position of the employee according to the RSSI strength change information, and obtains the employee's on-duty time according to the time information. Push the data to the mobile app 23, shown in the form of a chart.

The above description is only a preferred embodiment of the invention, and is not intended to limit the invention in any way. A person skilled in the art can make various equivalent modifications and improvements to the above-described embodiments, and equivalent changes or modifications made within the scope of the claims should fall within the scope of the invention.

Claims

A real-time dynamic tracking method based on WIFI, characterized in that it comprises the following steps:

The WIFI detector detects and extracts data information of the device to be tested within the coverage of the WIFI;

Filtering the data information according to a preset filtering rule to generate target information of the device to be tested, where the target information includes at least an RSSI strength, a MAC address, and a WIFI detector number;

The cloud server receives and processes the target information transmitted by all WIFI detectors that are in communication connection with the cloud server;

The cloud server generates report information corresponding to the device to be tested according to the target information of the device to be tested;

The mobile APP receives and displays the report information.
The WIFI-based real-time dynamic tracking method according to claim 1, wherein the target information further includes an entry time and an exit time of the device to be tested.
The WIFI-based real-time dynamic tracking method according to claim 2, wherein the report information includes at least the cloud server receiving the target information, and analyzing the location information of the device to be tested according to the RSSI strength and the MAC address.
The WIFI-based real-time dynamic tracking method according to claim 1, wherein the mobile APP analyzes the number of accesses of the device under test, analyzes the real-time time of the detection site, and the traffic between the personnel and the device under test according to the traffic change. The associated information is separately labeled with the presence information, communication data information, and activity information of the concerned person/device under test.
The WIFI-based real-time dynamic tracking method according to any one of claims 1 to 4, wherein the communication mode of the WIFI detector and the cloud server is WIFI, 3G, 4G or LAN.
A real-time dynamic tracking system based on WIFI, comprising: a WIFI detector, a cloud server and a mobile APP, wherein the WIFI detector comprises:

The dual-frequency detecting unit is configured to detect and acquire data information of the device to be tested in the WIFI coverage area;

a filtering unit, configured to filter the data information according to a preset filtering rule, to generate target information of the device to be tested;

a first communication unit, configured to establish a communication connection with the cloud server;

The first sending unit sends the generated target information to the cloud server;

The cloud server includes:

a second communication unit, configured to establish a communication connection with the first communication unit;

a first receiving unit, configured to receive target information of the device to be tested transmitted by the first sending unit of the WIFI detector, where the target information includes at least an RSSI strength, a MAC address, and a WIFI detector number;

a processing unit, configured to analyze and process the target information to obtain location information of the device to be tested, and generate report information corresponding to the device to be tested;

a second sending unit, configured to transmit the report information to the mobile APP;

The mobile APP includes:

a second receiving unit, configured to receive the report information that is described by the second sending unit;

a display unit for displaying the report information.
The WIFI-based real-time dynamic tracking system according to claim 6, wherein the target information further includes an entry time and an exit time of the device to be tested.
The WIFI-based real-time dynamic tracking system according to claim 7, wherein the report information includes at least the cloud server receiving the target information, and analyzing the location information of the device to be tested according to the RSSI strength and the MAC address.
The WIFI-based real-time dynamic tracking system according to claim 6, wherein the mobile terminal APP further comprises a traffic monitoring unit and a labeling unit, wherein the traffic detecting unit is configured to detect a traffic change and analyze the device to be tested. Correlation information between the access quantity, the real-time time of the detection and detection, and the traffic of the personnel/device under test; the labeling unit is used to separately mark the appearance information, communication data information and activity information of the care/device under test .
The WIFI-based real-time dynamic tracking system according to any one of claims 6 to 9, wherein the communication mode of the WIFI detector and the cloud server is WIFI, 3G, 4G or LAN.