Pet product retail terminal control system

Abstract

The invention relates to the technical field of pet product retail, in particular to a pet product retail terminal control system. The system comprises a main control unit, an edge calculation module, a multi-mode interaction control module, a constant-temperature precise control module, a cultural and creative customization process control module, a 5G Internet of Things communication module, an intelligent decision module, a safety control module and an Internet of Things linkage module. Local data real-time processing is realized through edge calculation, and cloud dependence is reduced; the multi-mode interaction module supports three-in-one operation of touch, voice and image recognition; constant temperature control adopts a PID + fuzzy control composite algorithm to realize accurate temperature control of three layers of partitions in the cabinet; and the document and creation customization module supports multi-material personalized printing. The system solves the problems that an existing terminal is single in interaction, insufficient in temperature control precision, slow in response, lack of personalized service, low in inventory management efficiency and the like, improves user experience and merchant operation efficiency, and is suitable for pet product retail in multiple scenes such as communities and shopping malls.

Description

Technical Field

[0001] This invention relates to the field of pet supplies retail technology, specifically to a pet supplies retail terminal control system. Background Technology

[0002] In recent years, China's pet economy has entered a stage of rapid development, with the market size exceeding 500 billion yuan in 2024. Pet supplies retail, as a core sub-sector, is exhibiting consumption trends of "convenience, personalization, and health." Retail kiosks, with their advantages of 24-hour unattended operation and flexible deployment, are widely distributed in communities, shopping malls, pet hospitals, and other scenarios, becoming an important channel for pet owners to purchase food, toys, and daily necessities instantly. However, existing pet supplies retail kiosks have revealed many technical shortcomings in practical applications, severely restricting user experience and industry development. (1) Limited and fixed human-computer interaction methods: Current mainstream terminals only support touch operation, which cannot adapt to diverse usage scenarios. For example, it is difficult for pet owners to operate manually when holding their pets, elderly users are not familiar with touch screen operation, and personalized needs such as voice consultation and image uploading cannot be met. At the same time, the lack of pet feature recognition capabilities makes it impossible to provide accurate services based on information such as pet breed and age, resulting in serious homogenization of product recommendations and high user decision-making costs.

[0003] (2) Insufficient precision in temperature control for pet food storage: Pet food (especially wet food, freeze-dried food, and prescription food) has strict requirements for storage environment temperature, which usually needs to be maintained between 15-25℃. Too high a temperature can easily lead to oil oxidation and bacterial growth, while too low a temperature may affect the taste and nutritional activity. Most existing terminals use a single-zone coarse temperature control method, without considering the temperature differences between the upper and lower layers and the front and back sides of the cabinet (the temperature difference can reach 3-5℃ in actual use), and the temperature control algorithm is simple, with temperature errors often exceeding ±2℃; some terminals lack abnormal alarm functions, and food spoilage cannot be detected in time, posing a threat to the health of pets.

[0004] (3) Data processing relies on the cloud and has low response efficiency: The interactive data, sales data, image data, etc. of the existing terminals need to be uploaded to the cloud server for processing. In scenarios such as network congestion, weak signal in remote areas, or multiple users making concurrent requests, data transmission delays (response time exceeding 3 seconds), operation lag, or even failures are likely to occur, which seriously affect the user experience. At the same time, the cloud computing power is under great pressure and the data transmission cost is high, which increases the operational burden of merchants.

[0005] (4) Lack of personalized cultural and creative customization capabilities: As the emotional companionship attribute of pets becomes more prominent, more than 80% of pet owners have personalized consumption needs, such as customizing keychains, pendants, commemorative albums and other cultural and creative products printed with pet photos. However, existing retail terminals can only provide standardized products for sale, which cannot meet users' emotional consumption needs and miss out on opportunities in niche markets.

[0006] (5) Low level of intelligence in inventory management: Merchants rely on manual periodic inventory checks, which is inefficient and prone to errors; lack of comprehensive analysis of historical sales data, seasonal factors (such as hot sales of summer mats and a surge in demand for winter warm products), and holiday effects (such as increased demand for foster care products before the Spring Festival), resulting in poor accuracy in inventory forecasting. Popular products are often out of stock and slow-moving products are stockpiled, which not only affects the user's purchasing experience but also increases warehousing and capital occupation costs.

[0007] To address the issues raised above, we propose a control system for pet supplies retail terminals. Summary of the Invention

[0008] The purpose of this invention is to provide a control system for a pet supplies retail terminal to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution: A pet supplies retail terminal control system includes: The main control unit is used to coordinate the collaborative operation of various functional modules, receive and process feedback data from each module, and output control commands. The edge computing module communicates with the main control unit and is used to process multimodal interactive data, customized cultural and creative image data and dynamic inventory data in real time, reducing cloud dependence and improving data processing response speed. The multimodal interactive control module connects to the main control unit, interactive screen, image acquisition device, and voice device to realize multimodal human-computer interaction control through touch, voice, and image recognition. The constant temperature precision control module is connected to the main control unit, the temperature sensor of the constant temperature retail cabinet, the heating / cooling device, and the fan, and is used for precise temperature control of the pet food storage environment. The cultural and creative customization process control module is connected to the main control unit, the photo upload unit, the image processing unit, and the printing output unit of the cultural and creative customization machine, and is used for the automated control and parameter optimization of the customization process; The 5G IoT communication module works in conjunction with the main control unit, edge computing module, backend server and smart pet devices to achieve real-time data synchronization, remote control and device interconnection. The intelligent decision-making module connects with the edge computing module and the 5G IoT communication module to build profiles based on user behavior data, perform intelligent product recommendations, and dynamically predict inventory. The security control module is connected to the main control unit, payment module, and equipment status monitoring sensors, and is used for payment security protection, equipment anti-theft early warning, and encrypted data transmission.

[0010] Preferably, the multimodal interaction control module includes a voice recognition unit, an image recognition unit, and a touch control unit; The voice recognition unit is used to recognize the voice input commands of pet owners, obtain service requests, and distinguish voice keywords related to pet breeds and product types. The image recognition unit uses the terminal's built-in camera to assess the clarity and composition of pet photos uploaded by the user. It automatically provides optimization suggestions using the YOLOv5 lightweight object detection algorithm and judges photo quality using an image clarity evaluation formula. Simultaneously, it authorizes user face login and extracts pet features. The image clarity evaluation formula is as follows:

[0011] in, A sharpness rating index, Image pixel size For the image in coordinates The gray value at that location, when If it is qualified, upload directly. At that time, it automatically generates optimization prompts and extracts the user's facial features to enable quick facial authorization login; The touch control unit is adapted to the interactive screen and features multi-touch, swipe operation, and a customizable shortcut function area.

[0012] Preferably, the constant temperature precision control module adopts a PID + fuzzy control composite algorithm, and installs temperature sensors inside the constant temperature retail cabinet, which are divided into three areas: upper, middle and lower, to collect temperature data of each area in real time and compare it with the preset temperature threshold to dynamically adjust the power of the heating / cooling device and the fan speed; it also has a temperature abnormality alarm function, which sends a warning message to the operation and maintenance terminal through the 5G module when the temperature exceeds the threshold range. Calculate the temperature error and the rate of change of the error:

[0013]

[0014] in, For the first Temperature error at any time, For the preset temperature threshold, , , For the 3 regions Temperature data at any given time For the first Temperature error at time -1; Then, the PID parameters (proportional coefficient) are dynamically adjusted using a fuzzy control algorithm. Integral coefficient Differential coefficients Ultimately, the control quantity is output through PID position control:

[0015] in, For the first The control parameters at any given time correspond to the power ratio of the heating / cooling devices. This represents the number of times the integral term is accumulated; the power and fan speed of the heating / cooling device are controlled through this control quantity. When the temperature exceeds the threshold range or the sensor malfunctions, the system immediately triggers a local buzzer alarm and pushes a warning message to the maintenance personnel's mobile APP via the 5G module, including the type of abnormality, the location of the terminal, and real-time temperature data.

[0016] Preferably, the cultural and creative customization process control module includes an image optimization unit, a printing parameter adaptive unit, and a progress monitoring unit; The image optimization unit uses a deep learning-based image enhancement algorithm to perform noise reduction, brightness adjustment, and edge sharpening on user-uploaded photos; its loss function is:

[0017] in, To optimize the image at the pixel level grayscale value, For an ideal image at pixel points grayscale value; The adaptive printing parameter unit automatically matches the printing resolution, ink usage, and drying time according to the material of the customized product, and establishes a mapping relationship:

[0018] in, For the material of the product, For print resolution, Ink usage Drying time; The progress monitoring unit collects printing progress data in real time, displays the remaining time to the user through an interactive screen, and triggers an audio-visual prompt when printing is complete.

[0019] Preferably, the intelligent decision-making module includes a user profile modeling unit, a product recommendation unit, and an inventory prediction unit; The user profile modeling unit constructs multi-dimensional user profiles based on data such as user purchase records, customization preferences, and pet breed / age. The product recommendation section pushes suitable pet food, cultural and creative products, and e-commerce goods to users based on user profiles and real-time popular data; The inventory forecasting unit uses an LSTM neural network algorithm to predict the inventory demand for the next 7-30 days based on historical sales data, seasonal factors, and holiday effects. When the predicted inventory is lower than the safety threshold, it automatically sends a replenishment reminder to the supplier.

[0020] Preferably, the security control module includes a payment security unit, a device security unit, and a data security unit; The payment security unit supports encrypted transmission of mainstream payment methods such as WeChat and Alipay, and has a payment anomaly detection function that can identify risky behaviors such as duplicate payments and fraudulent payments. Risk determination formula based on distance:

[0021] in, Based on current payment behavior characteristics, Characteristics of normal payment behavior, when When this occurs, it is determined to be an abnormal payment, among which, The preset threshold; The equipment safety unit uses vibration sensors and door magnetic sensors to monitor for abnormalities such as prying or unauthorized opening of the equipment, triggering local audible and visual alarms and pushing alarm information to the operation and maintenance terminal. The data security unit uses the AES-256 encryption algorithm to encrypt and store user photos, payment information, and behavioral data during transmission, and supports data backup and anomaly recovery functions.

[0022] Preferably, the 5G IoT communication module adopts an SA / NSA dual-mode 5G network and is compatible with Wi-Fi 6 and Bluetooth 5.0 communication protocols; It can realize data synchronization between the main control unit and the back-end server, as well as remote equipment status monitoring, parameter configuration and fault diagnosis.

[0023] Preferably, it also includes an Internet of Things (IoT) linkage module, which communicates with devices such as smart pet collars and smart feeders, can receive pet health data, and combine the data with a smart decision-making module to recommend suitable pet food and nutritional supplements.

[0024] A control method for a pet supplies retail terminal control system includes the following steps: Step S1: System initialization, the main control unit starts each functional module, the 5G IoT communication module establishes a communication connection with the back-end server and pet smart devices, and the constant temperature precision control module calibrates the temperature sensor and sets the initial temperature threshold. Step S2: Multimodal interaction response. The user initiates a service request through touch, voice or image acquisition. The multimodal interaction control module identifies the request type and transmits it to the main control unit. The edge computing module processes the interaction data in real time. Step S3: Functional module execution. Based on the user's request, the main control unit triggers the corresponding functional module: If it is a product purchase request, the intelligent decision-making module pushes suitable products. After the user completes the payment, the security control module verifies the payment's legality, and the terminal executes the shipment operation; if it is a cultural and creative customization request, the cultural and creative customization process control module receives the photos uploaded by the user, optimizes the images, matches the parameters, and starts printing, displaying the progress in real time and providing a notification upon completion; if it is a pet-related consultation or recommendation request, the IoT linkage module receives health data from the pet's smart device, and the intelligent decision-making module combines the user profile to push food and nutritional supplements. Step S4: Temperature control. The temperature control module collects the temperature of each area of ​​the temperature control cabinet in real time and adjusts the heating / cooling device and fan through a PID + fuzzy control composite algorithm. An alarm is triggered when there is an abnormality. Step S5, Inventory Management: The intelligent decision-making module predicts inventory demand based on historical data and real-time sales using the LSTM algorithm, and automatically sends a replenishment reminder when the demand falls below a safe threshold. Step S6: Security Protection. The security control module monitors payment behavior, device status, and data transmission in real time. If any abnormality is detected, it immediately executes warning and protection measures. Step S7: Data Synchronization and Remote Management. The 5G IoT communication module synchronizes device operation data and user behavior data to the backend server, enabling maintenance personnel to remotely monitor device status, configuration parameters, and diagnose faults.

[0025] Compared with the prior art, the beneficial effects of the present invention are: This invention utilizes an edge computing module to achieve real-time terminal-side processing of multimodal interactive data, customized cultural and creative image data, and dynamic inventory data, completely eliminating excessive reliance on cloud servers. Compared to traditional cloud-dependent terminals, this system boasts a faster data processing response time; it also supports concurrent operations of 50 users per minute, maintaining smooth, lag-free operation even in high-traffic scenarios such as community evening rush hours and shopping mall holidays. The localized processing capabilities of the edge computing module not only reduce cloud computing power consumption and data transmission costs but also prevent system paralysis during network outages or weak signal conditions, ensuring stable operation in 24 / 7 unattended scenarios.

[0026] This invention's multimodal interactive control module breaks through the limitations of traditional single-touch operation on terminals. Through a three-in-one interaction method integrating voice, image, and touch, it adapts to diverse usage scenarios: pet owners can operate via voice commands while holding their pets, and elderly users can use it conveniently without needing to be familiar with touchscreen logic; the face recognition quick authorization login function reduces user authentication time from 15 seconds to 2 seconds, and combined with pet feature extraction technology, it improves the hit rate of product recommendations and reduces user decision-making costs. Furthermore, the image recognition unit's photo quality optimization function improves the pass rate of customized cultural and creative photos, avoiding customization failures due to blurry photos or improper composition, significantly improving user satisfaction.

[0027] Addressing the stringent temperature requirements of pet food, this invention employs a PID+fuzzy control composite algorithm and a three-layer zoned temperature monitoring scheme. This results in minimal temperature error across different zones of the temperature-controlled retail cabinet, significantly outperforming the temperature control accuracy of traditional terminals. Precise temperature control extends the shelf life of wet pet food and freeze-dried pet food, reducing spoilage rates. This avoids pet health risks and customer complaints caused by food spoilage, while also reducing product loss costs for retailers. Furthermore, the abnormal temperature alarm function shortens maintenance response time, further minimizing food spoilage losses and equipment malfunctions.

[0028] This invention's creative product customization process control module is the first to incorporate personalized pet-related creative products into retail terminal services, supporting customization of multiple materials such as paper, fabric, and metal, thus meeting the emotional consumption needs of pet owners. The increased profit margin of creative products opens up new profit growth points for merchants; simultaneously, the customization service leads to a high user repurchase rate, extending user dwell time from an average of 3 minutes to 8 minutes, indirectly driving sales growth of regular goods. Furthermore, the IoT linkage module's integration with smart pet collars and smart feeders enables the system to accurately recommend nutritional supplements, prescription food, and other products based on pet health data, increasing sales of related health products and significantly enhancing user stickiness.

[0029] The 5G IoT communication module of this invention adopts an SA / NSA dual-mode design, is compatible with Wi-Fi 6 and Bluetooth 5.0 protocols, and features low data synchronization latency, ensuring real-time interconnection between the terminal, the backend server, and smart pet devices. The intelligent decision-making module's LSTM neural network inventory prediction algorithm, combined with historical sales data, seasonal factors, and holiday effects, achieves high inventory prediction accuracy, reducing terminal stockout rates and increasing inventory turnover. This effectively avoids the problems of lost customers due to stockouts of popular items and the occupation of warehousing funds by slow-moving goods. The product recommendation function based on user profiles improves the conversion rate of regular products, further optimizing the merchant's revenue structure.

[0030] The security control module of this invention constructs a closed-loop protection system from three dimensions: payment, device, and data. The anomaly detection algorithm (based on a distance-based risk assessment formula) in the payment security unit can accurately identify risky behaviors such as duplicate payments and fraudulent payments, reducing the incidence of payment disputes. The AES-256 encryption algorithm provides end-to-end encryption of user photos, payment information, and behavioral data, reducing the risk of data leakage. The vibration sensor and door magnetic sensor in the device security unit can monitor anomalies such as prying and unauthorized opening in real time, reducing losses from device theft. Combined with local audible and visual alarms and remote early warning, it provides dual protection for terminal asset security. This comprehensive security protection not only reduces the operational risks for merchants but also enhances user trust in the terminal service, increasing user willingness to use it. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the module connection of the present invention; Figure 2 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Please see Figure 1-2 A pet supplies retail terminal control system, comprising: The main control unit is used to coordinate the collaborative operation of various functional modules, receive and process feedback data from each module, and output control commands. The edge computing module communicates with the main control unit and is used to process multimodal interactive data, customized cultural and creative image data and dynamic inventory data in real time, reducing cloud dependence and improving data processing response speed. The multimodal interactive control module connects to the main control unit, interactive screen, image acquisition device, and voice device to realize multimodal human-computer interaction control through touch, voice, and image recognition. The constant temperature precision control module is connected to the main control unit, the temperature sensor of the constant temperature retail cabinet, the heating / cooling device, and the fan, and is used for precise temperature control of the pet food storage environment. The cultural and creative customization process control module is connected to the main control unit, the photo upload unit, the image processing unit, and the printing output unit of the cultural and creative customization machine, and is used for the automated control and parameter optimization of the customization process; The 5G IoT communication module works in conjunction with the main control unit, edge computing module, backend server and smart pet devices to achieve real-time data synchronization, remote control and device interconnection. The intelligent decision-making module connects with the edge computing module and the 5G IoT communication module to build profiles based on user behavior data, perform intelligent product recommendations, and dynamically predict inventory. The security control module is connected to the main control unit, payment module, and equipment status monitoring sensors, and is used for payment security protection, equipment anti-theft early warning, and encrypted data transmission.

[0034] The multimodal interactive control module includes a voice recognition unit, an image recognition unit, and a touch control unit; The voice recognition unit is used to recognize the voice input commands of pet owners, obtain service requests, and distinguish voice keywords related to pet breeds and product types. The image recognition unit uses the terminal's built-in camera to assess the clarity and composition of pet photos uploaded by the user. It automatically provides optimization suggestions using the YOLOv5 lightweight object detection algorithm and judges photo quality using an image clarity evaluation formula. Simultaneously, it authorizes user face login and extracts pet features. The image clarity evaluation formula is as follows:

[0035] in, A sharpness rating index, Image pixel size For the image in coordinates The gray value at that location, when If it is qualified, upload directly. At that time, it automatically generates optimization prompts and extracts the user's facial features to enable quick facial authorization login; The touch control unit is adapted to the interactive screen and features multi-touch, swipe operation, and a customizable shortcut function area.

[0036] The constant temperature precision control module adopts a PID + fuzzy control composite algorithm. Temperature sensors are installed inside the constant temperature retail cabinet, divided into upper, middle and lower layers, to collect temperature data in real time and compare it with preset temperature thresholds to dynamically adjust the power of the heating / cooling device and the fan speed. It also has a temperature abnormality alarm function. When the temperature exceeds the threshold range, a warning message is sent to the operation and maintenance terminal through the 5G module. Calculate the temperature error and the rate of change of the error:

[0037]

[0038] in, For the first Temperature error at any time, For the preset temperature threshold, , , For the 3 regions Temperature data at any given time For the first Temperature error at time -1; Then, the PID parameters (proportional coefficient) are dynamically adjusted using a fuzzy control algorithm. Integral coefficient Differential coefficients Ultimately, the control quantity is output through PID position control:

[0039] in, For the first The control parameters at any given time correspond to the power ratio of the heating / cooling devices. This represents the number of times the integral term is accumulated; the power and fan speed of the heating / cooling device are controlled through this control quantity. When the temperature exceeds the threshold range or the sensor malfunctions, the system immediately triggers a local buzzer alarm and pushes a warning message to the maintenance personnel's mobile APP via the 5G module, including the type of abnormality, the location of the terminal, and real-time temperature data.

[0040] The cultural and creative customization process control module includes an image optimization unit, a printing parameter adaptive unit, and a progress monitoring unit; The image optimization unit uses a deep learning-based image enhancement algorithm to perform noise reduction, brightness adjustment, and edge sharpening on user-uploaded photos; its loss function is:

[0041] in, To optimize the image at the pixel level grayscale value, For an ideal image at pixel points grayscale value; The adaptive printing parameter unit automatically matches the printing resolution, ink usage, and drying time according to the material of the customized product, and establishes a mapping relationship:

[0042] in, For the material of the product, For print resolution, Ink usage Drying time; The progress monitoring unit collects printing progress data in real time, displays the remaining time to the user through an interactive screen, and triggers an audio-visual prompt when printing is complete.

[0043] The intelligent decision-making module includes a user profile modeling unit, a product recommendation unit, and an inventory forecasting unit; The user profile modeling unit constructs multi-dimensional user profiles based on data such as user purchase records, customization preferences, and pet breed / age. The product recommendation section pushes suitable pet food, cultural and creative products, and e-commerce goods to users based on user profiles and real-time popular data; The inventory forecasting unit uses an LSTM neural network algorithm to predict the inventory demand for the next 7-30 days based on historical sales data, seasonal factors, and holiday effects. When the predicted inventory is lower than the safety threshold, it automatically sends a replenishment reminder to the supplier.

[0044] The security control module includes a payment security unit, a device security unit, and a data security unit; The payment security unit supports encrypted transmission of mainstream payment methods such as WeChat and Alipay, and has a payment anomaly detection function that can identify risky behaviors such as duplicate payments and fraudulent payments. The equipment safety unit uses vibration sensors and door magnetic sensors to monitor for abnormalities such as prying or unauthorized opening of the equipment, triggering local audible and visual alarms and pushing alarm information to the operation and maintenance terminal. The data security unit uses the AES-256 encryption algorithm to encrypt and store user photos, payment information, and behavioral data during transmission, and supports data backup and anomaly recovery functions.

[0045] The 5G IoT communication module adopts SA / NSA dual-mode 5G network and is compatible with Wi-Fi 6 and Bluetooth 5.0 communication protocols; It can realize data synchronization between the main control unit and the back-end server, as well as remote equipment status monitoring, parameter configuration and fault diagnosis.

[0046] A pet supplies retail terminal control system also includes an Internet of Things (IoT) linkage module. The IoT linkage module communicates with devices such as smart pet collars and smart feeders, can receive pet health data, and, based on this data, recommends suitable pet food and nutritional supplements through an intelligent decision-making module.

[0047] A control method for a pet supplies retail terminal control system includes the following steps: Step S1: System initialization, the main control unit starts each functional module, the 5G IoT communication module establishes a communication connection with the back-end server and pet smart devices, and the constant temperature precision control module calibrates the temperature sensor and sets the initial temperature threshold. Step S2: Multimodal interaction response. The user initiates a service request through touch, voice or image acquisition. The multimodal interaction control module identifies the request type and transmits it to the main control unit. The edge computing module processes the interaction data in real time. Step S3: Functional module execution. Based on the user's request, the main control unit triggers the corresponding functional module: If it is a product purchase request, the intelligent decision-making module pushes suitable products. After the user completes the payment, the security control module verifies the payment's legality, and the terminal executes the shipment operation; if it is a cultural and creative customization request, the cultural and creative customization process control module receives the photos uploaded by the user, optimizes the images, matches the parameters, and starts printing, displaying the progress in real time and providing a notification upon completion; if it is a pet-related consultation or recommendation request, the IoT linkage module receives health data from the pet's smart device, and the intelligent decision-making module combines the user profile to push food and nutritional supplements. Step S4: Temperature control. The temperature control module collects the temperature of each area of ​​the temperature control cabinet in real time and adjusts the heating / cooling device and fan through a PID + fuzzy control composite algorithm. An alarm is triggered when there is an abnormality. Step S5, Inventory Management: The intelligent decision-making module predicts inventory demand based on historical data and real-time sales using the LSTM algorithm, and automatically sends a replenishment reminder when the demand falls below a safe threshold. Step S6: Security Protection. The security control module monitors payment behavior, device status, and data transmission in real time. If any abnormality is detected, it immediately executes warning and protection measures. Risk determination formula based on distance:

[0048] in, Based on current payment behavior characteristics, Characteristics of normal payment behavior, when When this occurs, it is determined to be an abnormal payment, among which, The preset threshold; Step S7: Data Synchronization and Remote Management. The 5G IoT communication module synchronizes device operation data and user behavior data to the backend server, enabling maintenance personnel to remotely monitor device status, configuration parameters, and diagnose faults.

[0049] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A control system for a pet supplies retail terminal, characterized in that, include: The main control unit is used to coordinate the collaborative operation of various functional modules, receive and process feedback data from each module, and output control commands. The edge computing module communicates with the main control unit and is used to process multimodal interactive data, customized cultural and creative image data and dynamic inventory data in real time, reducing cloud dependence and improving data processing response speed. The multimodal interactive control module connects to the main control unit, interactive screen, image acquisition device, and voice device to realize multimodal human-computer interaction control through touch, voice, and image recognition. The constant temperature precision control module is connected to the main control unit, the temperature sensor of the constant temperature retail cabinet, the heating / cooling device, and the fan, and is used for precise temperature control of the pet food storage environment. The cultural and creative customization process control module is connected to the main control unit, the photo upload unit, the image processing unit, and the printing output unit of the cultural and creative customization machine, and is used for the automated control and parameter optimization of the customization process; The 5G IoT communication module works in conjunction with the main control unit, edge computing module, backend server and smart pet devices to achieve real-time data synchronization, remote control and device interconnection. The intelligent decision-making module connects with the edge computing module and the 5G IoT communication module to build profiles based on user behavior data, perform intelligent product recommendations, and dynamically predict inventory. The security control module is connected to the main control unit, payment module, and equipment status monitoring sensors, and is used for payment security protection, equipment anti-theft early warning, and encrypted data transmission.

2. The pet supplies retail terminal control system according to claim 1, characterized in that, The multimodal interaction control module includes a voice recognition unit, an image recognition unit, and a touch control unit; The voice recognition unit is used to recognize the voice input commands of pet owners, obtain service requests, and distinguish voice keywords related to pet breeds and product types. The image recognition unit uses the terminal's built-in camera to assess the clarity and composition of pet photos uploaded by the user. It automatically provides optimization suggestions using the YOLOv5 lightweight object detection algorithm and judges photo quality using an image clarity evaluation formula. Simultaneously, it authorizes user face login and extracts pet features. The image clarity evaluation formula is as follows: ； in, A sharpness rating index, Image pixel size For the image in coordinates The gray value at that location, when If it is qualified, upload directly. In this case, it automatically generates optimization prompts and extracts the user's facial features to enable quick facial authorization login; The touch control unit is adapted to the interactive screen and features multi-touch, swipe operation, and a customizable shortcut function area.

3. The pet supplies retail terminal control system according to claim 1, characterized in that, The constant temperature precision control module adopts a PID + fuzzy control composite algorithm. Temperature sensors are installed inside the constant temperature retail cabinet, divided into upper, middle and lower layers, to collect temperature data in real time and compare it with preset temperature thresholds. The power of the heating / cooling device and the fan speed are dynamically adjusted. It also has a temperature abnormality alarm function. When the temperature exceeds the threshold range, a warning message is sent to the operation and maintenance terminal through the 5G module. Calculate the temperature error and the rate of change of the error: ； ； in, For the first Temperature error at any time, For the preset temperature threshold, , , For the 3 regions Temperature data at any given time For the first Temperature error at time -1; Then, the PID parameters (proportional coefficient) are dynamically adjusted using a fuzzy control algorithm. Integral coefficient Differential coefficients Ultimately, the control quantity is output through PID position control: ； in, For the first The control parameters at any given time correspond to the power ratio of the heating / cooling devices. This represents the number of times the integral term is accumulated; the power and fan speed of the heating / cooling device are controlled through this control quantity. When the temperature exceeds the threshold range or the sensor malfunctions, the system immediately triggers a local buzzer alarm and pushes a warning message to the maintenance personnel's mobile APP via the 5G module, including the type of abnormality, the location of the terminal, and real-time temperature data.

4. The pet supplies retail terminal control system according to claim 1, characterized in that, The cultural and creative customization process control module includes an image optimization unit, a printing parameter adaptive unit, and a progress monitoring unit. The image optimization unit uses a deep learning-based image enhancement algorithm to perform noise reduction, brightness adjustment, and edge sharpening on user-uploaded photos; its loss function is: ； in, To optimize the image at the pixel level grayscale value, For an ideal image at pixel points grayscale value; The adaptive printing parameter unit automatically matches the printing resolution, ink usage, and drying time according to the material of the customized product, and establishes a mapping relationship: ； in, For the material of the product, For print resolution, Ink usage Drying time; The progress monitoring unit collects printing progress data in real time, displays the remaining time to the user through an interactive screen, and triggers an audio-visual prompt when printing is complete.

5. The pet supplies retail terminal control system according to claim 1, characterized in that, The intelligent decision-making module includes a user profile modeling unit, a product recommendation unit, and an inventory prediction unit. The user profile modeling unit constructs multi-dimensional user profiles based on data such as user purchase records, customization preferences, and pet breed / age. The product recommendation section pushes suitable pet food, cultural and creative products, and e-commerce goods to users based on user profiles and real-time popular data; The inventory forecasting unit uses an LSTM neural network algorithm to predict the inventory demand for the next 7-30 days based on historical sales data, seasonal factors, and holiday effects. When the predicted inventory is lower than the safety threshold, it automatically sends a replenishment reminder to the supplier.

6. The pet supplies retail terminal control system according to claim 1, characterized in that, The security control module includes a payment security unit, a device security unit, and a data security unit; The payment security unit supports encrypted transmission of mainstream payment methods such as WeChat and Alipay, and has a payment anomaly detection function that can identify risky behaviors such as duplicate payments and fraudulent payments. Risk determination formula based on distance: ； in, Based on current payment behavior characteristics, Characteristics of normal payment behavior, when When this occurs, it is determined to be an abnormal payment, among which, The preset threshold; The equipment safety unit uses vibration sensors and door magnetic sensors to monitor for abnormalities such as prying or unauthorized opening of the equipment, triggering local audible and visual alarms and pushing alarm information to the operation and maintenance terminal. The data security unit uses the AES-256 encryption algorithm to encrypt and store user photos, payment information, and behavioral data during transmission, and supports data backup and anomaly recovery functions.

7. The pet supplies retail terminal control system according to claim 1, characterized in that, The 5G IoT communication module adopts an SA / NSA dual-mode 5G network and is compatible with Wi-Fi 6 and Bluetooth 5.0 communication protocols. It can realize data synchronization between the main control unit and the back-end server, as well as remote equipment status monitoring, parameter configuration and fault diagnosis.

8. The pet supplies retail terminal control system according to claim 1, characterized in that, It also includes an IoT linkage module, which communicates with devices such as smart pet collars and smart feeders. This module can receive pet health data and, based on this data, recommend suitable pet food and nutritional supplements through an intelligent decision-making module.

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