A computer data collection system based on marketing

Abstract

The application provides a computer data acquisition system based on marketing, relates to the technical field of marketing data processing, and comprises a mainframe, a computer main body is installed at the lower position in the interior of the mainframe, the computer main body comprises a hardware unit and a software unit, and the hardware unit and the software unit communicate bidirectionally through a bus protocol. Through the triple protection of fingerprint authorization, local encryption and federated learning, the original data does not leave the device, the risk of privacy leakage is reduced by more than 90%, the requirements of relevant regulations on personal information protection are fully met, and the privacy protection capability is significantly improved. The problems that the privacy protection is absent in the current marketing data acquisition, the collected data is directly uploaded to the cloud, the data leakage risk is prone to occur, and the data security requirements of the personal information protection law are not met are solved.

Description

Technical Field

[0001] This invention relates to the field of marketing data processing technology, and in particular to a computer data collection system based on marketing. Background Technology

[0002] In marketing campaigns, the accurate collection of user behavior data and consumer preference data is the core foundation for achieving precision marketing. With the in-depth development of digital marketing, the consumer decision-making path is becoming increasingly complex. From online social media seeding and price comparison on e-commerce platforms to offline store experience and final purchase, the continuity and completeness of data across the entire chain directly determines the accuracy and conversion rate of marketing strategies. For example, when a beauty brand promotes a new product, if it only collects trial records from offline stores but lacks data such as user discussions about product ingredients on social media and browsing time on e-commerce platforms, it will be unable to determine users' potential concerns about the product. This will lead to a mismatch between the coupons or promotional content pushed to users and their needs, resulting in a waste of marketing resources.

[0003] There are several shortcomings in our understanding of the application of existing marketing data collection systems: 1. Currently, privacy protection for marketing data collection is lacking. Collected data is directly uploaded to the cloud, which easily leads to the risk of data leakage and does not meet the data security requirements of the Personal Information Protection Law. 2. Poor scene adaptability; the hardware modules are fixed, making it impossible to flexibly adjust the data collection dimensions according to different marketing scenarios such as shopping malls, live broadcasts, and pop-up stores. 3. Low data value conversion rate: Data collection and transmission are only achieved, without deep integration with marketing decision-making needs, resulting in the collected data becoming invalid.

[0004] Therefore, in view of this, we will study and improve the existing structure and its shortcomings, and provide a computer data acquisition system based on marketing, in order to achieve a more practical purpose. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a computer data collection system based on marketing practices. This system solves the following issues with current marketing data collection methods: lack of privacy protection; direct uploading of collected data to the cloud, leading to data leakage risks and failing to meet the data security requirements of the Personal Information Protection Law; poor scenario adaptability; fixed hardware modules, making it impossible to flexibly adjust collection dimensions according to different marketing scenarios such as shopping malls, live broadcasts, and pop-up stores; and low data value conversion rate, as it only achieves data collection and transmission without deep integration with marketing decision-making needs, resulting in ineffective data.

[0006] This invention provides a computer data acquisition system based on marketing, specifically comprising: a mainframe; a computer body installed at the lower part of the mainframe, the computer body including hardware units and software units, the hardware units and software units communicating bidirectionally via a bus protocol; the hardware units including a core control module, a pluggable acquisition module group, an edge computing module, a privacy and security module, a communication module and an interaction module, the software units running on the edge computing module, the software units including a data preprocessing module, a federated learning module, a scene adaptation module and a marketing decision support module, the core control module being an STM32H743 microcontroller, and the pluggable acquisition module group connected to the core control module via a standardized interface.

[0007] Furthermore, the pluggable acquisition module group consists of an offline behavior acquisition submodule, an online data interface submodule, and an environmental perception submodule. Each submodule is pluggably connected to the core control module through a standardized interface. The offline behavior acquisition submodule integrates an infrared human body sensor and a capacitive touch screen, the online data interface submodule integrates an NFC chip and a USB-C interface, and the environmental perception submodule integrates a temperature and humidity sensor and a light sensor.

[0008] Furthermore, the edge computing module uses an RK3588 chip with a built-in neural network acceleration unit, and the privacy and security module includes a fingerprint recognition sensor and an encryption chip, with the encryption chip using the AES-256 encryption algorithm.

[0009] Furthermore, the communication module integrates a high-speed carrier communication module and a 5G module. The high-speed carrier communication is used for short-range data transmission between the device and the local marketing terminal, and the 5G module is used for cloud transmission of encrypted feature data. The interaction module includes an LCD touch screen and a voice module.

[0010] Furthermore, the data preprocessing module is used to remove abnormal data, the federated learning module is used for collaborative modeling of multi-device data, the scene adaptation module is used to adjust the acquisition parameters, and the marketing decision support module is used to generate marketing suggestions based on the GraphSAGE algorithm.

[0011] Furthermore, an adjustment bracket is fixedly installed at the top center of the computer body, a through slot is opened at the front upper part of the main frame, the adjustment bracket is located behind the through slot of the main frame, and a motor is fixedly installed at the rear end of the adjustment bracket.

[0012] Furthermore, the motor shaft is fixedly connected to the rear position of the screw, the screw is located inside the adjustment frame, a movable frame is slidably connected inside the adjustment frame, a threaded hole is opened in the middle position of the movable frame, the screw is located in the threaded hole of the movable frame, and a mechanical arm is provided at the front end of the movable frame.

[0013] Furthermore, the robotic arm can be rotated and adjusted at both its front and rear ends. A device platform is fixedly installed at the front end of the robotic arm, and a rotatable display is installed above the front end of the device platform.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. With triple protection of fingerprint authorization, local encryption, and federated learning, the original data does not leave the device, reducing the risk of privacy leakage by more than 90%, fully complying with relevant regulations on personal information protection, and significantly improving privacy protection capabilities.

[0015] 2. The pluggable data acquisition module group works in conjunction with the scene adaptation module to reduce the scene switching time from 2 hours in the existing technology to within 10 minutes, adapting to the data acquisition needs of different marketing scenarios, increasing the device reuse rate by 60%, and making the scene adaptability flexible and efficient.

[0016] 3. The marketing decision support module directly outputs actionable marketing suggestions, improving user profile accuracy by 55% and driving a 45% increase in marketing conversion rate. This solves the problem of data collection being out of sync with marketing needs, and significantly improves the conversion rate of data value.

[0017] 4. The edge computing module enables local data processing, reducing the amount of data transmitted to the cloud and lowering device power consumption by 30%; the interface anti-misinsertion design and hardware-level protection of the encryption chip improve the operational reliability of the device, achieving the effect of low power consumption and high reliability. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments will be briefly described below.

[0019] In the attached diagram: Figure 1 A schematic diagram of the main structure of a computer data acquisition device for marketing according to an embodiment of the present invention is shown; Figure 2 A half-sectional side view of a computer data acquisition device for marketing according to an embodiment of the present invention is shown; Figure 3 A schematic diagram of a computer data acquisition system for marketing according to an embodiment of the present invention is shown; Figure 4 A schematic diagram of the core control module according to an embodiment of the present invention is shown; Figure 5 A schematic diagram of the core control module according to an embodiment of the present invention is shown; Figure 6 A schematic diagram of the edge computing module according to an embodiment of the present invention is shown; Figure 7A schematic diagram of the privacy and security module flow according to an embodiment of the present invention is shown; Figure 8 A schematic diagram of the communication module flow according to an embodiment of the present invention is shown; Figure 9 A schematic diagram of the interaction module flow according to an embodiment of the present invention is shown; Figure 10 A schematic diagram of the data preprocessing module according to an embodiment of the present invention is shown; Figure 11 A schematic diagram of the federated learning module flow according to an embodiment of the present invention is shown; Figure 12 A schematic diagram of the scenario adaptation module according to an embodiment of the present invention is shown; Figure 13 A schematic diagram of the marketing decision support module flow according to an embodiment of the present invention is shown; Figure 14 The results show the improved performance of the device of the present invention (experimental group) compared with existing conventional acquisition devices (control group).

[0020] List of reference numerals 1. Hardware Unit; 101. Core Control Module; 102. Pluggable Acquisition Module Group; 121. Offline Behavior Acquisition Submodule; 122. Online Data Interface Submodule; 123. Environmental Perception Submodule; 103. Edge Computing Module; 104. Privacy and Security Module; 105. Communication Module; 106. Interaction Module; 2. Software Unit; 201. Data Preprocessing Module; 202. Federated Learning Module; 203. Scene Adaptation Module; 204. Marketing Decision Support Module; 3. Main Unit; 301. Computer Main Body; 302. Adjustment Frame; 303. Motor; 304. Screw; 305. Moving Frame; 306. Robotic Arm; 307. Equipment Platform; 308. Display. Detailed Implementation

[0021] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0022] Unless otherwise defined, all terms (including technical and scientific terms) used in the embodiments of this disclosure shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It should also be understood that terms such as those defined in a common dictionary shall be interpreted as having a meaning consistent with their meaning in the context of the relevant art, and not as being interpreted in an idealized or highly formalized sense, unless expressly defined in the embodiments of this disclosure.

[0023] The terms "first," "second," and similar words used in the embodiments of this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "a," "one," or "the" do not indicate a quantity limitation, but rather indicate the presence of at least one. Likewise, the terms "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. In the following description, spatial and directional terms such as "upper," "lower," "front," "rear," "top," "bottom," "vertical," and "horizontal" may be used to describe embodiments of this disclosure; however, it should be understood that these terms are only for the convenience of describing the embodiments shown in the figures and do not require the actual device to be constructed or operated in a specific orientation. In the following description, the use of terms such as "connected," "joined," "fixed," and "attached" can refer to a direct connection between two elements or structures without other elements or structures, or to an indirect connection between two elements or structures via an intermediate element or structure, unless otherwise expressly stated herein.

[0024] Example: As attached Figure 1 To be continued Figure 14 As shown: This invention provides a computer data acquisition system based on marketing, comprising: a mainframe 3; a computer body 301 is installed at the lower part of the mainframe 3, the computer body 301 includes a hardware unit 1 and a software unit 2, the hardware unit 1 and the software unit 2 communicate bidirectionally via a bus protocol; the hardware unit 1 includes a core control module 101, a pluggable acquisition module group 102, an edge computing module 103, a privacy and security module 104, a communication module 105 and an interaction module 106; the software unit 2 runs on the edge computing module 103, the software unit 2 includes a data preprocessing module 201, a federated learning module 202, a scene adaptation module 203 and a marketing decision support module 204; the core control module 101 is an STM32H743 microcontroller, which serves as the central unit of the device, used to coordinate the working timing of each module and process the data interaction logic between modules; the pluggable acquisition module group 102 is connected to the core control module 101 through a standardized interface, the standardized interface of the pluggable acquisition module group 102 is a USB3.1 Type-C interface, and the interface has a built-in anti-misinsertion detection circuit.

[0025] The pluggable acquisition module group 102 is composed of an offline behavior acquisition submodule 121, an online data docking submodule 122 and an environmental perception submodule 123. Each submodule is pluggably connected to the core control module 101 through a standardized interface. The offline behavior collection submodule 121 integrates an infrared human body sensor and a capacitive touch screen to collect user dwell time and operation behavior data; The online data interface submodule 122 integrates an NFC chip and a USB-C interface to connect with users' mobile social apps and e-commerce platforms to collect users' online preference tags. The environmental perception submodule 123 integrates temperature and humidity sensors and light sensors to collect environmental data for marketing scenarios.

[0026] Among them, the edge computing module 103 uses the RK3588 chip, which has a built-in neural network acceleration unit for local data processing and algorithm execution, avoiding the uploading of raw data; The privacy and security module 104 includes a fingerprint recognition sensor and an encryption chip. The encryption chip uses the AES-256 encryption algorithm to achieve user authorization verification and local encryption of collected data. The working logic of the privacy and security module 104 is to start collecting data after fingerprint authorization is successful, and then transmit the collected data to the edge computing module 103 after AES-256 encryption.

[0027] Among them, the communication module 105 integrates a high-speed carrier communication module (0.7-12MHz) and a 5G module. The high-speed carrier communication is used for short-distance data transmission between the device and the local marketing terminal, and the 5G module is used for cloud transmission of encrypted feature data. The interaction module 106 includes an LCD touch screen and a voice module, used to display data collection instructions, obtain user authorization commands, and output marketing decision suggestions.

[0028] Among them, the data preprocessing module 201: adopts an adaptive filtering algorithm to remove outliers in the collected data and performs standardized format conversion on the data; Federated learning module 202 is used for collaborative modeling of data from multiple devices. It builds a federated learning client and achieves collaborative modeling of data from multiple devices through local training, model parameter sharing, and global model aggregation. The original data is always stored locally. The scene adaptation module 203 is used to adjust the collection parameters. It presets three core marketing scene modes: shopping mall, live broadcast and pop-up store. Users can switch modes through the interaction module 106. The module automatically adjusts the working parameters of the collection sub-module, such as increasing the online data collection frequency to 10 times / second in the live broadcast scene. The marketing decision support module 204 constructs a user-scenario-behavior relationship graph based on the GraphSAGE algorithm, which is used to generate marketing suggestions, such as coupon type and push timing, and outputs them through the interaction module 106.

[0029] The computer body 301 has an adjustable frame 302 fixedly installed at the top center. The front end of the main frame 3 has a through slot. The adjustable frame 302 is located behind the through slot of the main frame 3. The rear end of the adjustable frame 302 has a motor 303 fixedly installed. The shaft of the motor 303 is fixedly connected to the rear end of the screw 304. The screw 304 is located inside the adjustable frame 302. The interior of the adjustable frame 302 has a movable frame 305 slidably connected. The middle of the movable frame 305 has a threaded hole. The screw 304 is located in the threaded hole of the movable frame 305. The front end of the movable frame 305 has a robotic arm 306. The robotic arm 306 can be rotated and adjusted at both ends. The front end of the robotic arm 306 has a device platform 307 fixedly installed. The front end of the device platform 307 has a rotatable display 308.

[0030] When using: The motor 303 is started to drive the screw 304 to rotate. The screw 304 engages with the threaded hole of the moving frame 305. The moving frame 305 moves back and forth within the adjusting frame 302, which can move the monitor 308 to the position in front of the slot of the main unit frame 3, making it easier to view the data information of the monitor 308. In addition, the rotation of both ends of the robotic arm 306 can adjust the horizontal position of the monitor 308, so that the data acquisition information of the computer body 301 can be displayed on the monitor 308.

[0031] Hardware assembly and initialization: Select the corresponding data collection sub-module according to the target marketing scenario: If it is a shopping mall scenario, select the offline behavior data collection sub-module 121 and the environmental perception sub-module 123, and insert them into the core control module 101 through the USB 3.1 Type-C interface. After the interface anti-misinsertion circuit detects the module matching, the core control module 101 automatically completes the driver loading; fix the device at the entrance of the shopping mall with the bracket, connect it to the 220V AC power supply, and the core control module 101 starts the self-test program to complete the initialization of each module.

[0032] Data acquisition and processing flow: Step 1: When the user approaches the device, the voice module of the interaction module 106 automatically announces "Please complete fingerprint authorization to participate in data collection. The data will be encrypted and protected throughout the process." The user completes the authorization through the fingerprint recognition sensor of the privacy security module 104, and the core control module 101 receives the start signal. Step 2: The scene adaptation module 203 starts the mall mode by default. After the infrared sensor of the offline behavior collection submodule 121 detects the user, it triggers the capacitive touch screen to display a simple questionnaire. During the user's operation, the module collects data such as dwell time and option preferences. The environmental perception submodule 123 collects temperature, humidity and light data in the mall. Step 3: The collected data is transmitted to the edge computing module 103. The data preprocessing module 201 uses an adaptive filtering algorithm to remove duplicate data generated by accidental touches. The encryption chip encrypts the processed data using AES-256. Step 4: The Federated Learning Module 202 calls the locally trained model to extract features from the encrypted data, generate user preference feature vectors, and uploads the feature vectors to the cloud federated learning server via the 5G module, where they are aggregated with device feature data from other shopping malls to form a global model. Step 5: The Marketing Decision Support Module 204 downloads the global model, combines it with local environmental data, and generates a suggestion to "send a summer refreshing drink coupon to this user, with the push time being 10:00-12:00 on weekends," which is then displayed to on-site marketing personnel via an LCD touchscreen.

[0033] Scene switching operation: When the device needs to switch from a shopping mall scene to a live streaming scene, the marketing personnel trigger the switching command through the scene selection interface of the LCD touch screen. The core control module 101 controls the power-off of the data acquisition submodule in the shopping mall scene and prompts "Please replace the data acquisition module". Remove the environmental perception submodule 123 and insert the online data docking submodule 122. After the interface is detected and matched, the scene adaptation module 203 automatically adjusts the acquisition interval to 1 second. The online data docking submodule 122 connects with the anchor's mobile phone Douyin APP through the NFC chip to collect online data such as user bullet screen interaction and product clicks. The subsequent processing flow is the same as steps 3-5 above.

[0034] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. The scope of protection of this disclosure shall be determined by the scope of the claims.

Claims

1. A computer data acquisition system based on marketing, characterized in that, include: The main frame (3) is equipped with a computer body (301) at the lower part of the main frame (3). The computer body (301) includes a hardware unit (1) and a software unit (2). The hardware unit (1) and the software unit (2) communicate bidirectionally through a bus protocol. The hardware unit (1) includes a core control module (101), a pluggable acquisition module group (102), an edge computing module (103), a privacy and security module (104), a communication module (105), and an interaction module (106). The software unit (2) runs on the edge computing module (103). The software unit (2) includes a data preprocessing module (201), a federated learning module (202), a scene adaptation module (203), and a marketing decision support module (204). The core control module (101) is an STM32H743 microcontroller. The pluggable acquisition module group (102) is connected to the core control module (101) through a standardized interface.

2. The computer data acquisition system based on marketing as described in claim 1, characterized in that: The pluggable acquisition module group (102) is composed of an offline behavior acquisition submodule (121), an online data docking submodule (122), and an environmental perception submodule (123). Each submodule is pluggable and pluggable to the core control module (101) through a standardized interface. The offline behavior acquisition submodule (121) integrates an infrared human body sensor and a capacitive touch screen, the online data docking submodule (122) integrates an NFC chip and a USB-C interface, and the environmental perception submodule (123) integrates a temperature and humidity sensor and a light sensor.

3. The computer data acquisition system based on marketing as described in claim 1, characterized in that: The edge computing module (103) uses an RK3588 chip and has a built-in neural network acceleration unit. The privacy and security module (104) includes a fingerprint recognition sensor and an encryption chip. The encryption chip uses the AES-256 encryption algorithm.

4. The computer data acquisition system based on marketing as described in claim 1, characterized in that: The communication module (105) integrates a high-speed carrier communication module and a 5G module. The high-speed carrier communication is used for short-distance data transmission between the device and the local marketing terminal, and the 5G module is used for cloud transmission of encrypted feature data. The interaction module (106) includes an LCD touch screen and a voice module.

5. The computer data acquisition system based on marketing as described in claim 1, characterized in that: The data preprocessing module (201) is used to remove abnormal data, the federated learning module (202) is used for collaborative modeling of multi-device data, the scene adaptation module (203) is used to adjust the collection parameters, and the marketing decision support module (204) is used to generate marketing suggestions based on the GraphSAGE algorithm.

6. The computer data acquisition system based on marketing as described in claim 1, characterized in that: An adjustment bracket (302) is fixedly installed at the top center of the computer body (301). A through slot is provided above the front end of the main frame (3). The adjustment bracket (302) is located behind the through slot of the main frame (3). A motor (303) is fixedly installed at the rear end of the adjustment bracket (302).

7. The computer data acquisition system based on marketing as described in claim 6, characterized in that: The rotating shaft of the motor (303) is fixedly connected to the rear position of the screw (304). The screw (304) is located inside the adjusting frame (302). A movable frame (305) is slidably connected inside the adjusting frame (302). A threaded hole is opened in the middle position of the movable frame (305). The screw (304) is located in the threaded hole of the movable frame (305). A mechanical arm (306) is provided at the front end of the movable frame (305).

8. The computer data acquisition system based on marketing as described in claim 7, characterized in that: The robotic arm (306) can be rotated and adjusted at both its front and rear ends. A device platform (307) is fixedly installed at the front end of the robotic arm (306), and a rotatable display (308) is provided above the front end of the device platform (307).

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