TWM549498U - System for consumer activity data - Google Patents

Abstract

The disclosure is related to a system for consumer activity data. The system includes a serving system and a plurality of network devices disposed at many consumption sites. The network devices retrieve wireless radio-frequency signals from nearby electronic devices and transmit the signals to the serving system via a network. In the serving system, identification data with respect to every electronic device is such as the device's network hardware information that can be extracted from the wireless radio-frequency signals. The further information such as the signal strength, time and location corresponding to the electronic device can be obtained by analyzing the wireless signals. A consumer activity database is therefore established.

Description

Consumer activity data system

The specification discloses a system for collecting data, and in particular, a system for capturing consumer activity data through a network device installed in a terminal store.

Big data, also known as Big Data, refers to the fact that the relevant industry has prepared a servo system that can obtain data under certain activities in a specific way, and behind the huge amount of data collected over the years, it can be obtained through data analysis. Have meaningful information. In this way, for example, the Internet service provider can collect the behavior of the user surfing the Internet through the web browser, so that the user can analyze the activity of the Internet, thereby providing accurate consumption information, and the business model is generally hidden behind.

For example, e-commerce providers provide end users online shopping through the Internet. Once a sufficient amount of data is obtained, after analyzing a large amount of data, it can analyze its customer group attributes and find out which products are sold at which age level. Better, what kind of goods are not suitable for sale in a certain ethnic group, or even a different consumer group at different times in a day or a week, so that it can assist e-commerce operators to choose marketing and sales decisions, promote business activity.

To cite another example, when the government collects the driving information of vehicles on the expressway for a long time, including weekdays and holidays, together with the information of the reservations of the hotels and the information of the people's tourism, the time and section of the truck can be obtained through data analysis. After the message is released, the public can be informed and prepared as soon as possible.

However, there are many ways to get huge amounts of data. The data that can be analyzed will be different depending on the way the data is obtained. Different methods of obtaining data can be matched to each other to obtain more accurate analysis and achieve various purposes. . For example, from the user behavior data obtained through a web browser in a general computer, the behavior of the user surfing the Internet can be obtained, and most of the users can analyze the location of the user through the Internet address; The obtained data may further include data moved by the user; if the data of the user performing the action payment is obtained, the user's consumption information may be further obtained. The various data have their own meanings, and after cross-analysis, they can get more different information.

The specification discloses a consumer activity data system, and proposes a system for obtaining consumer activity data. The system mainly includes network devices located in various stores, which may be network hotspots of stores, and network devices can be collected through wireless network protocols. RF signals to a nearby device, such as a wireless LAN (WiFi ^TM) signal, wherein the information acquisition described, into a data consumer activity.

According to an embodiment, the consumer activity data system includes a plurality of network devices disposed in a plurality of consumer places, such as a network access device, and each network device includes a communication unit for acquiring wireless generated by the electronic device. An RF signal; a network unit for transmitting a wireless RF signal or a processed wireless RF signal; and a processing unit for performing a data acquisition process for obtaining a wireless RF signal received by the communication unit from the electronic device, And transmitting a wireless RF signal or a processed wireless RF signal via the network unit. The consumer activity data system includes a servo system, and the servo system is provided with a load balancing unit that loads the data received from the plurality of network devices, including the wireless RF signal or the processed wireless RF signal, and has a server unit. Running multiple virtual machines to process data from multiple network devices in a balanced manner, with a storage unit for running a distributed storage; and a database unit for storing data to create a database of consumer activities.

In an embodiment, the consumer activity data system further includes an application service unit. In addition to providing the client with access to the data in the system, the user activity data system can be used to interface with another database system located in another place. The system's database unit will be able to synchronize data to provide customers with access to the data through the user interface.

In the servo system of the consumer activity data system, performing a data acquisition process, including parsing the wireless RF signals received from the network devices, to obtain network device identification information for identifying each network device, and analyzing the wireless RF signal acquisition The network hardware information used to identify each electronic device, such as a media access control address, and a database of consumer activities.

Moreover, when the information of each electronic device is obtained after parsing the radio frequency signal, a tag record is dynamically added.

When the radio frequency signal is parsed to obtain a time information, the time information can be used to correlate an external event to associate the electronic device with an external event that compares the time information. When the wireless RF signal is parsed to obtain a signal strength, the signal strength can be used to estimate the distance between the electronic device and the network device, and can be used to determine whether the electronic device is in the store or outside the store where the network device is located.

In order to further understand the techniques, methods and effects of this new model for achieving the intended purpose, please refer to the following detailed description and drawings of the present invention. I believe that the purpose, features and characteristics of the present invention can be further and The drawings are to be considered in all respects as illustrative and not restrictive.

15‧‧‧Servo system

10‧‧‧Network

11‧‧‧First place of consumption

101‧‧‧First network equipment

12‧‧‧Second consumer place

102‧‧‧Second network equipment

13‧‧‧ Third place of consumption

103‧‧‧ Third network equipment

22‧‧‧Servo system

221‧‧‧Server unit

222‧‧‧Database unit

223‧‧‧Application Service Unit

20‧‧‧Network

201‧‧‧First network equipment

202‧‧‧Second network equipment

203‧‧‧ Third network equipment

24‧‧‧ client computer

32‧‧‧Servo system

321‧‧‧Load balancing unit

322‧‧‧Server unit

323‧‧‧ storage unit

324‧‧‧Database unit

325‧‧‧Application Service Unit

30‧‧‧Network

301‧‧‧First network equipment

302‧‧‧Second network equipment

303‧‧‧ Third network equipment

34‧‧‧Second servo system

341‧‧‧Second database unit

342‧‧‧User interface SERVOPACK

a, b, c‧‧‧ cluster servo unit

d,e,f‧‧‧Distributed storage unit

40‧‧‧Network

42‧‧‧Servo system

41‧‧‧Network equipment

411‧‧‧Processing unit

412‧‧‧Communication unit

413‧‧‧Network Unit

414‧‧‧Information acquisition unit

401,402,403‧‧‧Electronic devices

5‧‧‧Electronic devices

501‧‧‧First network equipment

502‧‧‧Second network equipment

503‧‧‧ Third network equipment

504‧‧‧4th network equipment

505‧‧‧ fifth network equipment

Step S601~S613‧‧‧ data acquisition process

Step S701~S707‧‧‧Data Acquisition Process

Step S801~S807‧‧‧ Consumer Activity Data System Application Process

Step 901~909‧‧‧ Consumer Activity Data System Application Process

Figure 1 shows a schematic diagram of the basic architecture of the operation of the consumer activity data system; Figure 2 shows a schematic diagram of an architectural embodiment of the operation of the consumer activity data system; Figure 3 shows a schematic diagram of an architectural embodiment of the operation of the consumer activity data system; Schematic diagram of an embodiment of terminal operation in a data system; FIG. 5 is a schematic diagram showing an embodiment of terminal operation in a consumer activity data system; The flowchart shown in FIG. 6 describes one of the embodiments of the data acquisition method; the flow shown in FIG. 7 describes the second embodiment of the data acquisition method; and the flow shown in FIG. 8 describes the consumer activity data system application in the returning consumer. Example Flow; Figure 9 shows an embodiment flow for a consumer activity data system application on a client.

The disclosure discloses a consumer activity data system and a data acquisition method. The system mainly uses a wireless device generated by a nearby electronic device by using a network device installed in each consumer site as a basis for data analysis, such as a network. The device obtains the wireless area network signal (WiFi ^TM signal) generated by each electronic device, and after parsing the packet, can obtain the information recorded in the wireless area network signal, such as the network hardware information of the signal source, including the media access control bit. The MAC address and the Received Signal Strength Indication (RSSI) can be used to obtain various data. For example, the connected electronic device can be identified according to the hardware information of the signal source, and the received signal strength can be Calculating the distance of the electronic device, according to the length of time of the connection, the consumer's residence time and the like holding the electronic device can be obtained. In this way, the consumer activity in an area can be analyzed by a large amount of data collected over a long period of time, and even the information obtained by each consumer place can be judged by cross-analysis for each consumer place (such as a single store, a multi-store, Business circle) More accurate consumer activities.

Figure 1 shows the basic architecture of the operation of the consumer activity data system. The consumer activity data system mainly proposes a servo system 15 and network devices (101, 102, 103) installed in each consumer site. As an example, the servo system 15 connects the network devices located in different locations through the network 10, including The first network device 101 of the first consumer site 11, the second network device 102 disposed at the second consumer site 12, and the third network device 103 disposed at the third consumer site 13. In an embodiment, the network device may be a network sharing device, router or gateway device in the relevant area. For the hotspots in the area, as an access point that connects the Internet, it provides network services and captures radio frequency signals transmitted by various electronic devices. The servo system 15 and each network device (101, 102, 103) can be configured on a general Internet network, or the connection structure is on a virtual private network (VPN) secure channel.

After the network device (101, 102, 103) retrieves the radio frequency signals generated from various nearby electronic devices, according to one of the embodiments, the network device can transmit the original data to the servo system 15 directly or after a short temporary storage, or In another embodiment, the network device may initially process the signals, and after obtaining the information, for example, the analyzed hardware information, signal strength, time, and the like are uploaded to the servo system 15.

According to still another embodiment, if an electronic device is in a consumer facility having a plurality of network devices (101, 102, 103) provided by the system, the servo system 15 can simultaneously acquire the same one from two or more network devices (101, 102, 103). The wireless radio frequency signal generated by the consumer's electronic device can know the distance between the electronic device and each network device from the data analysis of the received signal strength, and the time of the electronic device in the region can be known from the connection status, so that it can be judged From the location of the electronic device, it can even be judged whether the electronic device is inside or outside the store or business circle within a certain shopping mall or business district.

2 is a schematic diagram of an architecture embodiment of the operation of the consumer activity data system shown in FIG. 2. This example shows the main components in the servo system 22. The servo system 22 can be implemented by a cluster server, and it is not excluded that the host can be located at different locations. A networked servo system is formed. The servo system 22 obtains the radio frequency signals generated by the consumer's electronic device from the first network device 201, the second network device 202, and the third network device 203 of the terminal via the network 20.

The servo system 22 processes the huge amounts of data retrieved from multiple locations. The servo system 22 can simultaneously initiate multiple server units 221 to simultaneously carry huge amounts of data, including data that is initially processed into smaller units, data. The library unit 222 stores the data generated by the data analysis, and the data service can be provided by the application service unit 223. To the customer, this example shows the data provided by the client computer 24, especially the data analysis according to the customer's needs.

For the implementation of the servo system, reference may be made to the architecture embodiment of the operation of the consumer activity data system shown in FIG. 3. This example shows that the servo system 32 is mainly provided with a load balancing unit 321 and a cluster type server unit 322 (including the cluster servo unit a). , b, c), storage unit 323 (including distributed storage units d, e, f running distributed storage), database unit 324 and application service unit 325.

When the servo system 32 receives a huge amount of data from the first network device 301, the second network device 302, and the third network device 303 in a short time via the network 30, an initial operation needs to be performed first, in this embodiment. In the first, the load balancing unit 321 first implements load balancing, and performs data allocation on the front end of the servo system 32, such as average network traffic load, balance calculation, and storage resources, to avoid overload, in this case. The middle system distributes the huge amount of data received from the network device (301, 302, 303) to the server unit 322 in a balanced manner.

When processing a huge amount of data, each arithmetic unit in the servo system 32 needs to operate efficiently. In this example, the server unit 322 is a cluster server, and is illustrated to include cluster servo units a, b, c, each cluster servo unit a, b. , c runs a virtual machine (Virtual Machine), the architecture is scalable, each virtual machine is balanced by the load balancing unit 321 to process huge amounts of data from different network devices (301, 302, 303), with the load balancing unit 321, when When the virtual machine load is too high, it can be migrated to other virtual machines with low load capacity, or when the load is low, the sporadic operation can be concentrated on a virtual machine, reducing the waste of resources.

Facing huge amounts of data, the servo system 32 can adopt a distributed storage scheme. In this example, the storage unit 323 schematically indicates that the distributed storage units d, e, and f running distributed storage can efficiently and quickly process huge amounts of data, and Structured or unstructured data can be processed. For example, the raw data obtained by the servo system 32 from a plurality of network devices (301, 302, 303) may be unstructured data, and the distributed storage units d, e, f may assist in storing data on average; if the data is subjected to preliminary calculation Can get the knot To construct data, the decentralized storage units d, e, f can also be used to store such data.

The database unit 324 implements data storage, in which different databases can be used to store structured or unstructured data. Different database designs have their purposes and applications, and can be expanded and stored quickly. The function of the query.

The above uses a cluster server architecture or a decentralized storage scheme. In addition to achieving the load balancing of resource efficient and balanced use, it can realize the functions of operation and storage fault tolerance and redundancy, and can be fault tolerant to each other when there is a specific node out condition. With backup, let the servo system 32 run normally.

The servo system 32 can directly provide customer service through the application service unit 325, including providing a webpage interface, and providing a data service provided by the client to the remote access servo system 32. The servo system 32 can also be connected to the remote location by using the application service unit 325. A database system that synchronizes data with database unit 324 of servo system 32.

In addition to the servo system 32 which can directly provide data in the client access, in this illustration, according to another embodiment, the second servo system 34 can be established in a different location with a second database that can synchronize the data in the servo system 32. The unit 341, the second database unit 341 can provide a customer data service exclusively, allowing the customer to access the data through a specific interface, and can also be responsible for the functions of backup, backup and off-site services; the second servo system 34 is provided with a user interface servo. The unit 342 provides a publicly accessible user interface, such as connecting and accessing data through a web browser, and allowing the client to access the complete data held by the second servo system 34 through the user interface servo unit 342.

In the consumer activity data system proposed in the disclosure, the signal generated by the consumer electronic device captured by the network device built in the terminal consumption place is mainly based on the network device and related system running in the consumer place. A schematic diagram of the embodiment shown in FIG.

According to this illustration, the servo system 42 is connected to the network device 41 of the consumer premises via the network 40. The network device 41 is implemented by hardware and a software program running therein, and may include processing for performing signal processing according to the purpose thereof. Unit 411, receiving terminal The connection request and the communication unit 412 providing the network service, and the network unit 413 for communicating and transmitting data with the servo system 42. The network device 41 is provided with a data capturing unit 414. The data capturing unit 414 is configured to retain the wireless radio frequency signals received by the electronic device (401, 402, 403), especially the packet data of the wireless local area network, after a temporary temporary storage. It is transmitted to the servo system 42 through the network unit 413.

According to an embodiment, the network device 41 includes an embedded system implemented by software and hardware, and the processing unit 411 executes a data capture program in the network device 41. In the data capture program, the processing unit The 411 is configured to obtain the wireless RF signal received by the communication unit 412 from the electronic device (401, 402, 403), and further identify the network device identification information of the network device 41 to the wireless RF signal, and then transmit the wireless RF signal via the network unit 413. Pre-processed to the servo system 42. In the servo system 42, the server unit receives the wireless RF signal transmitted by each network device, and stores the wireless RF signal in the database unit to establish a consumer activity database. When the consumer activity data system is running, the network device 41 can be a network hotspot of the consumer site. In addition to providing network services, the network device 41 can also capture wireless radio signals of various electronic devices 401, 402, and 403 held by nearby consumers.

For example, when the consumer enters the range that the network device 41 can reach the wireless signal, the function of the wireless local area network is opened, and the general purpose is to find a hot spot that can be connected to the Internet nearby. If a store provides an Internet hotspot, it will attract Consumers go. The network device 41 receives the connection request, and according to the rules of the network service provided by each store, the network device 41 continuously receives various radio frequency signals at the same time when the consumer accesses the Internet, and the consumer cannot be captured. The sensitive connection information, but simply receiving the broadcast packets generated by the electronic devices 401, 402, 403, the servo system 42 can receive the broadcast packets generated by the electronic devices 401, 402, 403 from the network device 41.

According to an embodiment, the broadcast packet generated by the electronic device 401, 402, 403 carries some information that can be obtained, in particular, network hardware information in the electronic device, such as a media access control address (MAC address) of the connection source. The system can use the media access control address as the identification information for identifying each electronic device, and the system is In this state, the name or identification data of the consumer cannot be obtained, but the technology of big data analysis can be used. In addition to using such hardware information as the basis for identifying the electronic device, the data captured by the system can be matched with the store at the same time. The consumption activity data inside, so that the activity of each electronic device in the store at that time can be judged, and even the member's membership system, including the consumption information provided in the POS system, can obtain more accurate consumption activity data of each consumer. .

In the schematic diagram of the operation of the terminal in the consumer activity data system shown in FIG. 5, it can be seen that an electronic device 5 is in a consumer location, and the network devices (501, 502, 503, 504, 505) located at different locations may receive the electronic device 5 to be generated. In the wireless system signal, the first network device 501 can obtain the wireless RF signal generated by the electronic device 5, and obtain the identification information of the source of the signal acquisition: AP1: SSID1; The second network device 502 obtains the signal generated by the electronic device 5 and includes the identification information of the second network device 502: AP2: SSID2. Similarly, the servo system can also be from the third network device 503 (identification information: AP3: SSID3) The fourth network device 504 (AP4: SSID4) and the fifth network device 505 (AP5: SSID5) acquire the signal data of the electronic device 5.

A Received Signal Strength Indication (RSSI) between two devices can be used to determine the distance between two devices, or a relative distance. In this example, the servo system can obtain the signal strength between the electronic device 5 and the network device that each signal can reach by analyzing the wireless RF signal from the signal information obtained by each network device, and the servo system is known to each. The actual location of the network device of the terminal, for example, at a certain location of a consumer location, so that the system can measure the signal transmission point (electronic device 5) and the receiving point (a certain network device) by the received signal strength. The distance between the two or more network devices can be obtained at the same time and the estimated distance, so that the system can further locate the electronic device 5.

For example, the signal strength between the electronic device 5 and the first network device 501 can estimate the distance between the two (d1), and the system knows the first network device 501 (ID: AP1). Actual position, so it can be judged that the electronic device 5 is outside the store or the store where the first network device 501 is installed; plus the estimated distance of the signal strength of the electronic device 5 and the second network device 502 (d2) And the second network device 502 (ID: AP2) position known to the system, the actual position of the electronic device 5 can be more judged; if the signal strength between the electronic device 5 and the third network device 503 is obtained The distance between the devices (d3) can be estimated, and the system can obtain three distances from the three network devices at the same time from the three network devices, and can be accurately positioned to the electronic device according to the distance and the location of each network device. The location of 5, as such, can be used to determine whether the electronic device 5 is in the store or outside the store where the network device is located.

Further, the system can obtain consumer activities in the area by using the radio frequency signals of various electronic devices collected by the network devices in the same area, for example, the wireless RF signal can determine that the consumer (electronic device) is If the stay time in a store is matched with the store's business information, the consumer's consumption activity at a certain position in the moment can be judged.

In the above embodiment, the data obtained by the consumer activity data system from the network equipment of each terminal will be analyzed to obtain the consumption activity of each consumer, which can become a reference for a single point of commercial marketing of the store, and can become an area. A multi-point reference to overall business marketing, if it involves a business district or a wider range of consumer activities, will be the basis for decision-making in the overall business strategy.

According to the embodiment of the flowchart shown in FIG. 6, the flow of the data capture method is as follows: first, the wireless system receives the wireless radio frequency signals generated by the plurality of electronic devices through the plurality of network devices located in the plurality of consumer sites, and the process begins with step S601. The system can receive the radio frequency signal generated by the individual electronic device from the network device, and the information contained in the received signal, such as step S603, can obtain the information of each source device network device, such as the SSID of each network device, and The actual location of the network device.

When the servo system knows the location of each network device from the device information of the network device, in step S605, the identification information of the identification electronic device is obtained from the signal generated by the electronic device, and then, according to step S607, the time information generated by the signal is obtained. And steps S609: Obtain signal strength information, and each piece of information becomes a message describing the electronic device. In step S611, a tag associated with the electronic device may be established for each meaningful information, in particular, once the system parses When a radio frequency signal is obtained and compared with the information of a specific meaning of each electronic device, a tag record is dynamically and dynamically added.

Finally, in step S613, after the various data are analyzed, meaningful information can be obtained, corresponding to the identification information of each electronic device, and each electronic device is connected to various results obtained by the analysis to form a file describing the consumer and storing Data, build a database of consumer activities.

The system refers to a tag technology, which is a kind of information describing a consumer. For example, each radio frequency signal carries hardware information that can be used to identify an electronic device, such as the aforementioned MAC address. The electronic device establishes an identification tag; each radio frequency signal carries a signal source, such as a signal received from a network device, and the data can be added to a network device identification information tag. Moreover, each radio frequency signal carries a time stamp, and after a period of data analysis, it can know the time trend of a certain consumer to a certain consumption place, so that a time stamp can be established. Others, if the analysis can obtain various information corresponding to each electronic device, each can establish a meaningful label, such as location, store name, business circle name, etc., and even can determine the consumer's personal data, can establish a label.

For example, when the servo system receives the wireless RF signal from each network device, after the signal packet is parsed, the network hardware information for identifying each electronic device can be obtained, and the identification information forms a label, and the information obtained in the future will be Can be successfully linked to this identification information. Further, after analyzing and analyzing the data corresponding to an electronic device, such as the member information of the store, when the system knows the consumption information of the certain time from the store, once the signal of the electronic device is compared, the member data can be obtained. When external data infers the gender, age, preferences, etc. of the owner of the electronic device, when the system analyzes and obtains a certain piece of information, that is, the tag is created, the more data can be generated. Accurate information can also get more tags describing a consumer (electronic device).

After the data of the corresponding electronic device is analyzed, if a certain information has been confirmed, that is, the data of the electronic device is tagged, in addition to the label can describe a certain characteristic of a certain consumer, this can also be avoided. Data is processed repeatedly. For example, when the age of the consumer holding the electronic device is confirmed after various data analysis, an age label can be added, and future analysis of age can be discarded. Discarding repetitive calculus saves computing resources when huge amounts of data continue to be generated every day. Label items can also increase as the amount of data increases, and the previously created tags can be calibrated at any time.

For related processes, reference may be made to the flow of an embodiment describing the data acquisition method shown in FIG.

In this process, starting from step S701, the system parses the radio frequency signal obtained from each network device. In step S703, the identification information of the electronic device and the source location and time of the signal are obtained from the signal, wherein the time information can be used. Obtaining the time when the network device continuously receives the wireless RF signal from the electronic device, and the time information is used to compare an external event, and the external event can be provided by a specific source, such as an open data file opened by the government to electronically The device is associated with an external event that compares time information.

At this time, if the system can obtain the consumption information corresponding to the terminal store, and even includes the external events related to the location and time, in step S705, the corresponding external event information can be obtained from the information provided by the government or the private, for example, the public database can be compared. In a certain time and location of the weather, traffic conditions, public events, etc., if you compare the store's business information, you can comprehensively derive the consumer's consumption under these conditions, and then become a store (single point), multi-store ( Multi-point) and the reference of the business circle to adjust sales items or services. The more accumulated data, the more accurate it is to predict consumer activity in various situations, and use data to support decision making and marketing strategies in each store or overall mall or business district. Thus, in step S707, a consumer activity database is established.

When the consumer activity database is created with an external event, as in step S709, this Databases can be used to predict consumer activity in the future when specific external events occur. For example, when an external event is displayed as raining (which can be divided into typhoon, heavy rain, heavy rain, light rain, etc.), consumer activity on a rainy day can be obtained. When a day is predicted to be rainy, the system can provide a forecast for the day. How the consumer activities, some stores may benefit, visitors increase, such data provides the store as a reference for reference; may be affected by some store visitors, these accumulated data analysis results can become the store to open stores, Reduce the reference of the human hand.

External events can also be specific events, such as large events near the store or business district, which may affect the flow of customers and consumer behavior in the store or business district, or to increase consumption activity, or to be affected by the business, so when the database is collected because After the large-scale event consumer activities, it can be used as a reference for the consumption activities of the store or the business circle when there are large-scale events, which can further prevent losses or fully prepare for possible increased consumption activities.

In an application, the embodiment of the consumer activity data system application in the returning consumer can be described with reference to FIG. 8.

In step S801, when the system determines the electronic device connection with the record from the signal received by the network device, the system can know that a certain consumer passes through a certain location at this time, and can compare the consumers in the system. The activity database, in step S803, obtains the description data of the consumer against the past data, and the description data may be a combination of a plurality of tags. Therefore, in step S805, the system may provide the customized information immediately, for example, as in step S807. Send customized information to electronic devices or provide store consumption information through SMS, push messages or specific applications.

For example, when the system knows that a certain consumer is coming to the vicinity from a signal packet transmitted by a network device, various communication methods can be used to transmit the preferential information proposed by a nearby store, and the information can be based on the past consumer. The history of consumption judges content that is of interest, thus promoting consumption.

When this mode runs a business circle formed by multiple consumer places in a region, it can effectively compare various marketing information and stores of the business circle with the consumer activity database of the business circle. Home information and events are effectively transmitted to electronic devices held by consumers in their homes.

As an example, the consumer activity data system is provided with a cloud servo system for data screening, filtering and storage of data received by the front-end network device, and statistical analysis, and finally can generate visualized traffic statistics. When the store is connected to the consumer activity data system, the system continues to obtain the signal of the consumer electronic device from the network device of the store. When the system determines that the recorded electronic device is nearby, if the system database has also obtained the corresponding electronic device. The device's phone number, email and other information allows the system to send marketing information to the electronic device according to the store's needs, such as providing coupon barcodes, sending promotional newsletters, and so on.

Once the system builds a database of consumer activities based on the huge amount of data, it can provide meaningful consumer activity data for the relevant industry, as shown in FIG. 9 for the embodiment of the consumer activity data system applied to the client.

After accumulating huge amounts of data, the system can establish a database (step 901). For a single business, store data located at different locations can be established, indicating that there are branch data 1, branch data 2, and branch data 3. For a business district, these will cover data from different stores in a region.

The system continues to analyze the data (step 903), and the consumer consumption analysis can be continuously generated (step 905). For a particular customer, the system will provide an analysis report (step 907) and provide a trend analysis for each case (step 909).

Among them, the time information parsed by the radio frequency signal received from the terminal electronic device is very important, because the consumer information can be compared with other events occurring in the time, so that the customer understands the consumption trend at different times, thereby affecting the marketing strategy, for example, once The analysis draws the peak of consumption. At this moment, sufficient sales of goods or manpower should be prepared. If you know the peak time, you can adjust the configuration of goods and manpower, and you can provide preferential measures at these times.

After the store sends appropriate and timely marketing information, it can promote the consumption of nearby consumers into the store. If consumers consume, the information will be formed. A meaningful consumption activity data becomes a store's consumer database.

In the embodiment, the above-mentioned consumer activity data system mainly cooperates with each single-point network device, combines cloud computing, and big data analysis technology. If a huge amount of data analysis is applied in a single consumption occasion, passenger traffic analysis can be obtained, including Total analysis, stay time, get the same consumer's return visit rate, conversion rate into consumption power, and even get the age distribution and time distribution of the visiting consumers, and can make consumption trends. When combined with other event information of relevant consumption locations and time, it can accurately predict and grasp the changes in business conditions and regional passenger flows, and use data to support decision-making judgments and marketing strategies of business district operations.

In summary, the consumer activity data system and the data acquisition method disclosed in the specification obtain various data through network devices installed in each consumer site, and can obtain a certain consumption place, a shopping mall, and a business circle from the data analysis. Consumer activity data, which allows for passenger flow analysis, trend analysis, and forecasting of trends across the region.

The above descriptions are only preferred embodiments of the present invention, and all changes and modifications made in accordance with the scope of the present patent application should fall within the scope of the present invention.

15‧‧‧Servo system

10‧‧‧Network

11‧‧‧First place of consumption

101‧‧‧First network equipment

12‧‧‧Second consumer place

102‧‧‧Second network equipment

13‧‧‧ Third place of consumption

103‧‧‧ Third network equipment

Claims (10)

A consumer activity data system includes: a plurality of network devices disposed in a plurality of consumer locations, each network device comprising: a communication unit for obtaining a wireless RF signal generated by an electronic device; a network unit, And transmitting, by the processing unit, a data acquisition process for obtaining a wireless RF signal received by the communication unit from the electronic device, and passing through the network The unit transmits the wireless RF signal or the processed wireless RF signal; a servo system includes: a load balancing unit, load balancing data received from the plurality of network devices, the data is the wireless RF signal or processed Wireless RF signal; a server unit that runs multiple virtual machines to process data from the plurality of network devices in a balanced manner; a storage unit that runs a distributed storage; and a database unit that stores the data and establishes A consumer activity database. The consumer activity data system of claim 1, further comprising a second servo system disposed at a different location, the second servo system comprising a second database unit that synchronizes data of the database unit of the servo system. The consumer activity data system of claim 1, wherein the network device disposed at each consumer site is a network accessor of the consumer site. The consumer activity data system of any one of claims 1 to 3, wherein in the servo system, performing a data capture process comprises: parsing the wireless radio frequency signal received from each network device to obtain Identifying network device identification information of each network device; analyzing the wireless RF signal to obtain network hardware resources for identifying each electronic device News; and establish a database of consumer activities. The consumer activity data system of claim 4, wherein in the servo system, when the wireless radio frequency signal is parsed and the information of each electronic device is obtained, a tag record is dynamically added. The consumer activity data system of claim 4, wherein the network hardware information used to identify the electronic device comprises a media access control address. The consumer activity data system of claim 4, wherein the wireless radio frequency signal is parsed to obtain a time information, wherein the time information is obtained by the network device continuously receiving the wireless radio frequency signal from the electronic device. The consumer activity data system of claim 7, wherein the time information is used to correlate an external event with the external event against the time information. The consumer activity data system of claim 4, wherein the wireless RF signal is parsed to obtain a signal strength, the signal strength being used to estimate a distance between the electronic device and the network device. The consumer activity data system of claim 9, wherein the distance between the electronic device and the network device is estimated to determine whether the electronic device is in a store or a store of the consumer site where the network device is located. outer.