E-sports place intelligent store management system based on cloud computing power

Abstract

The invention relates to the technical field of store management, and discloses an electronic sports place intelligent store management system based on cloud computing power, which comprises a cloud server, an edge computing node and intelligent terminal equipment. Through AI emotion recognition and performance adjustment, the system can provide more personalized services, adjust computer performance according to emotional states of customers and improve game experience, the cloud computing power scheduling module can dynamically allocate cloud resources according to site requirements, optimal utilization of the resources is achieved, energy consumption is reduced, and system stability is improved. The intelligent security and protection module can monitor an E-sports place for 24 hours, find abnormal conditions in time, give an alarm and guarantee the safety of the place, and the system can provide detailed business data analysis, help managers to know customer consumption habits and commodity popularity, provide support for marketing decisions, promote business growth and provide differentiated services and personalized experience. The electronic sports place can better attract customers, and the market competitiveness is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of store management, and in particular to an intelligent store management system for e-sports venues based on cloud computing power. Background Art

[0002] With the rapid development of the e-sports industry, the number and scale of e-sports venues are also increasing. As a place where e-sports enthusiasts gather, the management and service level of e-sports venues directly affect the customer experience and the operational efficiency of e-sports venues. However, traditional store management systems have some shortcomings in processing large amounts of data, providing personalized services, resource utilization efficiency, security monitoring, marketing strategy formulation, labor costs, and management decision-making.

[0003] Traditional store management systems may have problems such as slow response and low efficiency when processing large amounts of data, resulting in long waiting times for customers and affecting customer experience;

[0004] It is difficult to provide customized services based on customers’ personal preferences and needs. This may lead to low customer satisfaction and affect the reputation and competitiveness of e-sports venues;

[0005] The system is not flexible enough in resource allocation, which leads to waste of resources, increases the operating costs of e-sports venues, and affects profitability. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides an intelligent store management system for e-sports venues based on cloud computing power. The system integrates cloud computing, big data, and artificial intelligence technologies to provide efficient and personalized service experience and resource optimization configuration functions, thereby solving the problems raised by the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent store management system for e-sports venues based on cloud computing power, comprising the following modules:

[0008] Cloud server: high-performance server hardware, database management system, cloud computing platform, data analysis software, storage of member information, order records, business data, execution of complex computing tasks such as data analysis, AI model training, and provision of data mining, trend forecasting, and business reporting services.

[0009] Edge computing nodes: deployed in e-sports venues for real-time data processing and rapid response, quickly processing data from cameras and other sensors, providing instant feedback to on-site equipment and services, and reducing latency.

[0010] Smart terminal devices: Computers, tablets, and smart phones in e-sports venues allow users to interact with the system through touch screens, keyboards, etc., display order information, event notifications, and member points, and support online reservations, payments, and inquiries.

[0011] AI module: integrated into the system, processes image data captured by the camera, performs facial recognition and emotion analysis, uses deep learning algorithms, neural network models, and image processing software to identify and verify member identities and determine the user's emotional state by analyzing facial expressions.

[0012] Camera: High-definition webcam with autofocus and light adjustment functions, which can capture the facial expressions of computer users in real time and transmit the captured image data to the AI ​​module for processing.

[0013] Preferably, a camera is installed on the computer workstation to capture the user's facial expressions.

[0014] Preferably,

[0015] Intelligent terminal devices also include:

[0016] Membership management module: input basic information of new members, query information and consumption records of existing members, automatically adjust membership levels according to members' consumption amount, frequency and other indicators, and provide differentiated services;

[0017] Order management module: members can book seats or matches online, view order details, status and history, support multiple payment methods, and complete order payment;

[0018] Business data analysis module: statistics on daily and monthly sales and customer flow, analysis of member consumption habits and hot commodities, support for marketing decisions, monitoring commodity inventory, timely replenishment, and avoidance of out-of-stock;

[0019] Intelligent security module: Through the camera to identify members, realize fast check-in and security monitoring, monitor the e-sports venue 24 hours a day to ensure the safety of the venue, and automatically alarm when abnormal behavior is detected;

[0020] Marketing activity module: issue coupons based on member behavior or specific activities, publish the latest activity information, attract member participation, and members can redeem goods or services with points;

[0021] Preferably, the AI ​​module also includes a cloud computing power scheduling module to dynamically allocate cloud resources according to site requirements, ensure stable operation of the system, improve response speed, optimize resource allocation, and reduce energy consumption.

[0022] AI emotion recognition and performance adjustment module: Identify the user's facial features, confirm identity, analyze the user's emotional state, such as happiness, anger, and fatigue, and adjust computer performance based on the results of emotion analysis to improve user experience.

[0023] Preferably, the AI ​​module also includes:

[0024] Facial recognition algorithm module: Use convolutional neural network (CNN) to train facial recognition algorithm, which identifies different individuals by analyzing facial feature points;

[0025] Emotion analysis model: CNN-based emotion classifier analyzes captured facial images and is trained on a large number of labeled facial expression images to learn to distinguish different emotional states;

[0026] Performance Tuning Engine: This module can adjust the computer's hardware configuration based on the results of sentiment analysis. The engine is integrated with the computer's hardware management interface (such as BIOS, operating system) to control the performance parameters of the CPU and GPU hardware.

[0027] Preferably,

[0028] The facial recognition algorithm module also includes:

[0029] Facial image capture: The user's facial image is captured in real time through a camera installed in front of the computer;

[0030] Facial expression analysis: Use facial recognition algorithms to locate facial key points (such as eyes, nose, mouth, etc.), and the emotion analysis model determines the emotional state based on the location and changes of key points.

[0031] Preferably, the sentiment analysis model also includes:

[0032] Emotion classification: The model classifies facial expressions into different emotional states, such as happiness, anger, surprise, sadness, fear, disgust, and fatigue;

[0033] Emotional state mapping: The system maps the identified emotional state to a predefined performance adjustment strategy. If the user shows emotions of happiness or concentration, the system improves computer performance to enhance the gaming experience.

[0034] Preferably, the performance tuning engine also includes:

[0035] Dynamic performance adjustment: For different emotional states, the system can perform the following adjustments:

[0036] Improve performance: When the user is identified as being in a positive emotional state, the CPU and GPU frequencies are increased to improve the game frame rate;

[0037] Reduce performance: When it is recognized that the user may be feeling tired or stressed, it will reduce the power consumption of the hardware, reduce heat generation, and even remind the user to take a break;

[0038] Optimized settings: Automatically adjust screen brightness and volume settings according to the user's emotional state to provide a more comfortable usage environment;

[0039] Real-time feedback and adjustment: The system continuously monitors the user's emotional state and adjusts computer performance in real time based on changes in emotions to ensure that users always get the best experience.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The intelligent store management system for e-sports venues based on cloud computing power can provide more personalized services through AI emotion recognition and performance adjustment. It can adjust computer performance according to the customer's emotional state and enhance the gaming experience. The cloud computing power scheduling module can dynamically allocate cloud resources according to venue needs to achieve optimal resource utilization, reduce energy consumption, and improve system stability. The intelligent security module can monitor the e-sports venue 24 hours a day, detect abnormal situations in time and alarm to ensure the safety of the venue. The system can provide detailed business data analysis to help managers understand customer consumption habits and product popularity, provide support for marketing decisions, promote business growth, provide differentiated services and personalized experiences, so that e-sports venues can better attract customers and enhance market competitiveness. DETAILED DESCRIPTION

[0042] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The present invention provides a technical solution: an intelligent store management system for e-sports venues based on cloud computing power, comprising the following modules:

[0044] Cloud server: high-performance server hardware, database management system, cloud computing platform, data analysis software, storage of member information, order records, business data, execution of complex computing tasks such as data analysis, AI model training, and provision of data mining, trend forecasting, and business reporting services.

[0045] Edge computing nodes: deployed in e-sports venues for real-time data processing and rapid response, quickly processing data from cameras and other sensors, providing instant feedback to on-site equipment and services, and reducing latency.

[0046] Smart terminal devices: Computers, tablets, and smart phones in e-sports venues allow users to interact with the system through touch screens, keyboards, etc., display order information, event notifications, and member points, and support online reservations, payments, and inquiries.

[0047] AI module: integrated into the system, processes image data captured by the camera, performs facial recognition and emotion analysis, uses deep learning algorithms, neural network models, and image processing software to identify and verify member identities and determine the user's emotional state by analyzing facial expressions.

[0048] Camera: High-definition webcam with autofocus and light adjustment functions, which can capture the facial expressions of computer users in real time and transmit the captured image data to the AI ​​module for processing.

[0049] Preferably, a camera is installed on the computer workstation to capture the user's facial expressions.

[0050] Preferably,

[0051] Intelligent terminal devices also include:

[0052] Membership management module: input basic information of new members, query information and consumption records of existing members, automatically adjust membership levels according to members' consumption amount, frequency and other indicators, and provide differentiated services;

[0053] Order management module: members can book seats or matches online, view order details, status and history, support multiple payment methods, and complete order payment;

[0054] Business data analysis module: statistics on daily and monthly sales and customer flow, analysis of member consumption habits and hot commodities, support for marketing decisions, monitoring commodity inventory, timely replenishment, and avoidance of out-of-stock;

[0055] Intelligent security module: Through the camera to identify members, realize fast check-in and security monitoring, monitor the e-sports venue 24 hours a day to ensure the safety of the venue, and automatically alarm when abnormal behavior is detected;

[0056] Marketing activity module: issue coupons based on member behavior or specific activities, publish the latest activity information, attract member participation, and members can redeem goods or services with points;

[0057] Preferably, the AI ​​module also includes a cloud computing power scheduling module to dynamically allocate cloud resources according to site requirements, ensure stable operation of the system, improve response speed, optimize resource allocation, and reduce energy consumption.

[0058] AI emotion recognition and performance adjustment module: Identify the user's facial features, confirm identity, analyze the user's emotional state, such as happiness, anger, and fatigue, and adjust computer performance based on the results of emotion analysis to improve user experience.

[0059] Preferably, the AI ​​module also includes:

[0060] Facial recognition algorithm module: Use convolutional neural network (CNN) to train facial recognition algorithm, which identifies different individuals by analyzing facial feature points;

[0061] Emotion analysis model: CNN-based emotion classifier analyzes captured facial images and is trained on a large number of labeled facial expression images to learn to distinguish different emotional states;

[0062] Performance Tuning Engine: This module can adjust the computer's hardware configuration based on the results of sentiment analysis. The engine is integrated with the computer's hardware management interface (such as BIOS, operating system, etc.) to control the performance parameters of the CPU and GPU hardware.

[0063] Preferably,

[0064] The facial recognition algorithm module also includes:

[0065] Facial image capture: The user's facial image is captured in real time through a camera installed in front of the computer;

[0066] Facial expression analysis: Use facial recognition algorithms to locate facial key points (such as eyes, nose, mouth, etc.), and the emotion analysis model determines the emotional state based on the location and changes of key points.

[0067] Preferably, the sentiment analysis model also includes:

[0068] Emotion classification: The model classifies facial expressions into different emotional states, such as happiness, anger, surprise, sadness, fear, disgust, and fatigue;

[0069] Emotional state mapping: The system maps the identified emotional state to a predefined performance adjustment strategy. If the user shows emotions of happiness or concentration, the system improves computer performance to enhance the gaming experience.

[0070] Preferably, the performance tuning engine also includes:

[0071] Dynamic performance adjustment: For different emotional states, the system can perform the following adjustments:

[0072] Improve performance: When the user is identified as being in a positive emotional state, the CPU and GPU frequencies are increased to improve the game frame rate;

[0073] Reduce performance: When it is recognized that the user may be feeling tired or stressed, it will reduce the power consumption of the hardware, reduce heat generation, and even remind the user to take a break;

[0074] Optimized settings: Automatically adjust screen brightness and volume settings according to the user's emotional state to provide a more comfortable usage environment;

[0075] Real-time feedback and adjustment: The system continuously monitors the user's emotional state and adjusts computer performance in real time based on changes in emotions to ensure that users always get the best experience.

[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent store management system for e-sports venues based on cloud computing power, characterized by: Includes the following modules: Cloud servers: High-performance server hardware, database management systems, cloud computing platforms, and data analysis software. They store member information, order records, and business data, perform complex computing tasks such as data analysis and AI model training, and provide data mining, trend forecasting, and business reporting services. Edge computing nodes: Deployed in esports venues, they provide real-time data processing and rapid response. They quickly process data from cameras and other sensors, providing instant feedback to on-site equipment and services, reducing latency. Smart terminal devices: Computers, tablets, and smartphones in e-sports venues allow users to interact with the system through touch screens and keyboards, displaying order information, event notifications, and membership points, and supporting online reservations, payments, and inquiries. AI module: Integrated into the system, it processes image data captured by the camera, performs facial recognition and emotion analysis, and uses deep learning algorithms, neural network models, and image processing software to identify and verify member identities and determine the user's emotional state by analyzing facial expressions. Camera: A high-definition webcam with autofocus and light adjustment functions that captures the computer user's facial expressions in real time and transmits the captured image data to the AI ​​module for processing.

2. The cloud computing-based smart store management system for e-sports venues according to claim 1, characterized in that: Cameras are installed on computer workstations to capture users' facial expressions.

3. The cloud computing-based smart store management system for e-sports venues according to claim 1, characterized in that: Smart terminal devices also include: Membership management module: enter the basic information of new members, query the information and consumption records of existing members, automatically adjust the membership level according to the member's consumption amount, frequency and other indicators, and provide differentiated services; Order Management Module: Members can reserve seats or matches online, view order details, status and history, support multiple payment methods, and complete order payment; Business data analysis module: statistics daily and monthly sales and customer flow, analyzes members' consumption habits and hot commodities, provides support for marketing decisions, monitors commodity inventory, replenishes stocks in time, and avoids out-of-stock; Intelligent security module: Uses cameras to identify members, enabling quick check-in and security monitoring. 24-hour monitoring of esports venues ensures venue safety. When abnormal behavior is detected, the system automatically issues an alarm. Marketing activity module: issue coupons based on member behavior or specific activities, publish the latest event information, attract member participation, and members can redeem goods or services with points.

4. The cloud computing-based smart store management system for e-sports venues according to claim 1, characterized in that: The AI ​​module also includes a cloud computing scheduling module that dynamically allocates cloud resources according to site needs to ensure stable system operation, improve response speed, optimize resource allocation, and reduce energy consumption; AI emotion recognition and performance adjustment module: Identifies the user's facial features, confirms identity, analyzes the user's emotional state, such as happiness, anger, and fatigue, and adjusts computer performance based on the emotion analysis results to improve user experience.

5. The cloud computing-based smart store management system for e-sports venues according to claim 1, characterized in that: The AI ​​module also includes: Facial recognition algorithm module: Uses convolutional neural network (CNN) to train facial recognition algorithms, which identify different individuals by analyzing facial feature points; Emotion analysis model: A CNN-based emotion classifier analyzes captured facial images and is trained on a large number of labeled facial expression images to learn to distinguish different emotional states; Performance Tuning Engine: This module adjusts the computer's hardware configuration based on the results of sentiment analysis. The engine is integrated with the computer's hardware management interface (such as BIOS, operating system) to control the performance parameters of the CPU and GPU hardware.

6. The cloud computing-based smart store management system for e-sports venues according to claim 5, characterized in that: The facial recognition algorithm module also includes: Facial image capture: The user's facial image is captured in real time through a camera installed in front of the computer; Facial expression analysis: Use facial recognition algorithms to locate facial key points, and the emotion analysis model determines the emotional state based on the location and changes of key points.

7. The cloud computing-based smart store management system for e-sports venues according to claim 5, characterized in that: Sentiment analysis models also include: Emotion classification: The model classifies facial expressions into different emotional states, such as happiness, anger, surprise, sadness, fear, disgust, and fatigue; Emotional state mapping: The system maps the identified emotional state to a predefined performance adjustment strategy. If the user shows emotions such as happiness or concentration, the system improves computer performance to enhance the gaming experience.

8. The cloud computing-based smart store management system for e-sports venues according to claim 5, characterized in that: The performance tuning engine also includes: Dynamic performance adjustment: For different emotional states, the system can perform the following adjustments: Improve performance: When the user is identified as being in a positive emotional state, the CPU and GPU frequencies are increased to improve the game frame rate; Reduce performance: When it recognizes that the user may be feeling tired or stressed, it reduces hardware power consumption, reduces heat generation, and even reminds the user to take a break; Optimized settings: Automatically adjust screen brightness and volume settings based on the user's emotional state to provide a more comfortable usage environment; Real-time feedback and adjustment: The system continuously monitors the user's emotional state and adjusts computer performance in real time based on changes in mood to ensure that users always have the best experience.