System and method for transmitting stadium resource information

Abstract

The invention relates to the technical field of resource management and information, and discloses a stadium resource information transmission system and method, and the system comprises a sensing module which is used for deploying multiple types of sensors and Internet of Things equipment, collecting resource information in a stadium, including a site occupation state, people flow information and equipment energy consumption data, and transmitting the resource information to a server; noise reduction, anomaly detection and standardization processing are carried out on the collected data; and the transmission module is used for realizing rapid transmission and primary processing of data through a self-adaptive data transmission protocol and an edge computing technology, and optimizing the transmission efficiency in combination with a multi-level cache mechanism. According to the invention, the data transmission efficiency and real-time performance are improved through accurate data acquisition, dynamic transmission optimization and a multi-level cache mechanism; resource scheduling optimization is realized by adopting deep reinforcement learning, and the resource utilization rate and the user experience are remarkably improved; and in combination with a block chain, differential privacy and zero-knowledge proof technology, data security and privacy protection are comprehensively guaranteed, and support is provided for efficient management of the stadium.

Description

Technical Field

[0001] The present invention relates to the field of resource management and information technology, and in particular to a system and method for transmitting sports stadium resource information. Background Art

[0002] As a core venue for multi-functional scenarios such as sports events and entertainment activities, efficient management and utilization of sports venue resources are crucial to operational efficiency and user experience. In order to achieve efficient allocation of resources, the transmission system of sports venue resource information collects resource status data in the venue and analyzes and distributes the data in combination with transmission and processing technology. The system can coordinate the relationship between venue resources and usage needs, and plays an important role in the daily management of venues and the scheduling of large-scale events.

[0003] Existing stadium resource information transmission systems usually use fixed network protocols and distributed data collection technology to achieve real-time transmission and aggregation of venue resource information. Some systems combine sensor networks with cloud computing technology to collect and transmit some resource status data in the venue (such as venue reservation information, equipment energy consumption status), and achieve certain resource optimization allocation through centralized data analysis models. This system has the advantages of stable data transmission and accurate basic resource scheduling. It can meet the static resource management needs of the venue under specific conditions and provide a relatively reliable decision-making basis for venue management.

[0004] Although the existing sports venue resource information transmission system can meet the resource management needs of some static scenes, it has shortcomings in the following aspects: first, the real-time performance of data collection and processing is insufficient, making it difficult to cope with dynamic resource changes in large-scale, high-concurrency scenes; second, the data transmission efficiency is low, especially under complex network conditions, delays and bottlenecks are prone to occur; third, resource scheduling lacks intelligent means, making it difficult to dynamically optimize resource utilization and user experience; in addition, privacy protection and data security capabilities are limited, failing to fully guarantee the security of user data and the transparency of the allocation process. These shortcomings limit the scalability and adaptability of the system. Summary of the invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a system and method for transmitting sports venue resource information, which solves the problems in the existing technology of insufficient real-time data collection, low transmission efficiency, limited intelligent level of resource scheduling, and weak data security and privacy protection capabilities.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A system for transmitting sports venue resource information, comprising:

[0007] The perception module is used to deploy multiple types of sensors and IoT devices to collect resource information in the stadium, including venue occupancy status, crowd flow information and equipment energy consumption data, and perform noise reduction, anomaly detection and standardization on the collected data;

[0008] The transmission module uses adaptive data transmission protocols and edge computing technology to achieve fast data transmission and preliminary processing, while combining a multi-level cache mechanism to optimize transmission efficiency;

[0009] The resource scheduling module uses deep reinforcement learning algorithms and multi-objective optimization strategies to dynamically allocate venue resources to maximize resource utilization and minimize user waiting time;

[0010] The user service module predicts user needs through a personalized recommendation algorithm and generates a heat map of resource distribution to display the status of venue resources in real time;

[0011] The security module combines blockchain technology, differential privacy technology and zero-knowledge proof to ensure the integrity of data transmission, the security of user privacy and the transparency of resource allocation records.

[0012] Preferably, the perception module includes:

[0013] Infrared sensors for monitoring site occupancy status;

[0014] The camera used to detect crowd information is combined with the YOLOv7 algorithm to achieve real-time target recognition;

[0015] Smart meters used to measure energy consumption of equipment, based on ZigBee protocol for data transmission.

[0016] Preferably, the transmission module optimizes data transmission efficiency by the following steps:

[0017] Adopt QUIC-based adaptive data transmission protocol to dynamically adjust the transmission rate;

[0018] Deploy edge cache at edge nodes to store frequently accessed data;

[0019] Deploy cloud cache in the cloud to store historical resource data.

[0020] Preferably, the resource scheduling module includes, based on a deep reinforcement learning algorithm:

[0021] Define the resource allocation state as the state space S;

[0022] Define the allocation strategy as action space A;

[0023] With resource utilization U and user waiting time T w To optimize the goal, establish a reward function:

[0024] R=λ1·U+λ2·(1-T w )

[0025] Among them, λ1 and λ2 are optimization weights.

[0026] Preferably, the security module comprises:

[0027] Record resource allocation information through blockchain technology to ensure data is tamper-proof;

[0028] Use differential privacy techniques to introduce Gaussian distributed noise into data analysis;

[0029] Verify the legitimacy of user identity based on zero-knowledge proof technology.

[0030] The present invention also provides a method for transmitting sports stadium resource information, comprising the following steps:

[0031] S1. Data collection:

[0032] The occupancy status of the venue is collected through the multi-type sensors of the perception module;

[0033] Collect crowd flow information through cameras combined with image analysis algorithms;

[0034] Collect real-time energy consumption data of equipment through smart meters;

[0035] All collected data are uniformly formatted to generate a standardized data transmission structure.

[0036] S2. Data transmission and processing:

[0037] Adjust the transmission rate through adaptive data transmission protocol to ensure transmission efficiency;

[0038] Perform preliminary processing of real-time data at the edge computing node, including data aggregation and rapid analysis; upload historical data to the cloud for global optimization analysis and complete resource scheduling model training. S3, Resource Scheduling and User Services:

[0039] Dynamically adjust resource allocation strategy based on the reinforcement learning algorithm of the resource scheduling module;

[0040] Use personalized recommendation algorithms to predict user needs and recommend suitable venue resources;

[0041] Generate a real-time heat map of resource distribution within the venue for venue managers and users to view.

[0042] S4. Data security assurance:

[0043] Record resource allocation information through blockchain technology to prevent data tampering;

[0044] Use differential privacy technology to add noise during data analysis to protect user privacy;

[0045] Use zero-knowledge proof technology to verify the legitimacy of user identity.

[0046] Preferably, the standardized data transmission structure includes:

[0047] Use JSON format for collected data;

[0048] Organize data according to the preset topic structure: Venue / Sensor / Type / ID;

[0049] The formatted data is transmitted using the MQTT protocol.

[0050] Preferably, the adaptive data transmission protocol includes:

[0051] Transmission rate R t The calculation formula is

[0052]

[0053] Among them, R base represents the basic transmission rate, α represents the adjustment factor, and RTT represents the round-trip time.

[0054] Preferably, the personalized recommendation algorithm includes:

[0055] Use the matrix factorization model to predict the demand score of user μ for resource i;

[0056] The rating prediction formula is:

[0057]

[0058] Among them, μ represents the global bias, b u and b i are the user and resource bias values, qu and p respectively i are the feature vectors of users and resources.

[0059] Preferably, differential privacy protection includes:

[0060] Gaussian distribution noise is added to the data analysis process:

[0061] M(D)+N(0,σ 2 )

[0062] Among them, M(D) is the analysis function, N(0,σ 2 ) indicates that the variance is σ 2 Gaussian distributed noise.

[0063] The present invention provides a system and method for transmitting sports venue resource information, which has the following beneficial effects:

[0064] 1. The present invention ensures the real-time and accuracy of the venue resource status through multi-source data collection and standardized processing of the perception module, provides a stable data foundation for efficient transmission and intelligent scheduling, and improves the operating stability and reliability of the system in a high-concurrency environment.

[0065] 2. The present invention adopts a QUIC-based adaptive transmission protocol and a multi-level caching mechanism, combined with edge computing and cloud collaboration mode, to achieve efficient linkage between data transmission and storage, reduce data transmission delay and network burden, and optimize the efficiency of historical data query and real-time calculation.

[0066] 3. Through the deep reinforcement learning algorithm of the resource scheduling module and the blockchain, differential privacy and zero-knowledge proof technology of the security module, the present invention realizes the dynamic optimization of resource utilization, the all-round protection of user privacy and the transparency of the resource allocation process, thereby improving the venue operation efficiency and the comprehensive level of user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 is a system structure diagram of the present invention;

[0068] Figure 2 is a system structure diagram of the perception module of the present invention;

[0069] Figure 3 is a system structure diagram of the transmission module of the present invention;

[0070] Figure 4 This is a system structure diagram of the resource scheduling module of the present invention;

[0071] Figure 5 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the specification 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.

[0073] Please see attached Figure 1 -Attached Figure 5 The embodiment of the present invention provides a system for transmitting sports stadium resource information, including:

[0074] The perception module is used to deploy multiple types of sensors and IoT devices to collect resource information in sports venues, including venue occupancy status, crowd flow information, and equipment energy consumption data, and to perform noise reduction, anomaly detection, and standardization on the collected data. The deployment and real-time collection of the perception module realizes efficient perception of resource status, provides a reliable data foundation for data transmission and scheduling, and greatly improves the stability of the system and data accuracy;

[0075] The transmission module uses adaptive data transmission protocols and edge computing technology to achieve fast data transmission and preliminary processing. It also combines a multi-level cache mechanism to optimize transmission efficiency. The transmission module enables efficient data transmission and preliminary processing, ensuring the real-time flow of large-scale venue resource information and adapting to complex network environments.

[0076] The resource scheduling module uses deep reinforcement learning algorithms and multi-objective optimization strategies to dynamically allocate venue resources to maximize resource utilization and minimize user waiting time. The resource scheduling module significantly improves the utilization efficiency of venue resources through intelligent scheduling algorithms, reduces resource idleness and user waiting time, and brings higher profits and user satisfaction to venue operation management;

[0077] The user service module predicts user needs through a personalized recommendation algorithm and generates a heat map of resource distribution to display the status of venue resources in real time. The user service module not only improves user experience, but also improves resource allocation efficiency and transparency, providing intuitive data support for venue operations;

[0078] The security module combines blockchain technology, differential privacy technology and zero-knowledge proof to ensure the integrity of data transmission, the security of user privacy and the transparency of resource allocation records. The security module can fully protect the security of system data and user privacy, and enhance the trust of venue management and user experience.

[0079] Please see attached Figure 1 and attached Figure 2 In a preferred embodiment of the present invention, the perception module includes:

[0080] Infrared sensors used to monitor the occupancy status of venues monitor whether the venue is occupied by sensing the infrared spectrum emitted by objects; if the sensor detects the thermal radiation signal of the human body or equipment, it is recorded as the "occupied" state; if there is no signal or the signal is lower than the set threshold, it is recorded as the "idle" state. The data collection frequency can be dynamically adjusted according to usage needs, such as speeding up the collection frequency during peak hours to ensure the real-time status update, while optimizing resource scheduling strategies and reducing resource waste;

[0081] The camera used to detect crowd flow information is combined with the YOLOv7 algorithm to achieve real-time target recognition. The camera combines the YOLOv7 algorithm to achieve high-precision crowd flow detection function, which can accurately capture the real-time distribution of people in the venue. The system helps managers quickly understand the peak flow areas of the venue, optimize resource allocation, and improve user experience and safety;

[0082] The smart meter used to measure the energy consumption of the equipment realizes data transmission based on the ZigBee protocol. The smart meter transmits data to the local gateway through the ZigBee protocol. The ZigBee protocol has low power consumption, high reliability and good network self-organization ability, which is very suitable for communication between short-distance devices; the data collection cycle can be dynamically adjusted according to the frequency of equipment use, such as real-time collection for high-energy consumption equipment. By combining the ZigBee protocol, the system realizes low-power and efficient data communication, further reducing the operating cost of the system.

[0083] Please see attached Figure 1 and attached Figure 3 In a preferred embodiment of the present invention, the transmission module optimizes the data transmission efficiency by the following steps:

[0084] Adopt an adaptive data transmission protocol based on QUIC to dynamically adjust the transmission rate. The QUIC protocol uses congestion control mechanism and packet loss detection function to dynamically adjust the rate during data transmission, reduce data retransmission and bandwidth waste, reduce data transmission delay, and improve the transmission efficiency of real-time data in the venue;

[0085] Edge cache is deployed at edge nodes to store high-frequency access data. Edge cache improves the access speed of high-frequency data, reduces data transmission delay, and improves the overall stability and reliability of the system.

[0086] Cloud cache is deployed in the cloud to store historical resource data. Cloud cache improves the efficiency of large-scale historical data access by reducing direct query requests to the main database, while also improving the reliability of data access.

[0087] Please see attached Figure 1 and attached Figure 4 In a preferred embodiment of the present invention, the resource scheduling module based on the deep reinforcement learning algorithm includes:

[0088] The resource allocation state is defined as the state space S, and the dynamic resource usage of the venue is modeled as the state space S. The state vector consists of the following key parameters:

[0089] The current occupancy of venue resources (such as venue utilization rate);

[0090] The current operating status of the equipment (such as energy consumption level);

[0091] The distribution of users in the venue (such as real-time crowd density).

[0092] Status update mechanism:

[0093] The system dynamically updates the state space through real-time data collected by the perception module;

[0094] Each state update records the resource state at the current moment as input to the reinforcement learning algorithm;

[0095] The state space design ensures that the system can perceive the dynamic changes of resources and users in real time, providing accurate environmental input for subsequent optimization algorithms and improving the accuracy of scheduling;

[0096] The allocation strategy is defined as action space A. Action space A defines the allocation strategies that the resource scheduling module may adopt. Each action corresponds to a resource scheduling solution.

[0097] Actions include:

[0098] Venue zoning optimization: adjust the use and distribution of resources within the venue;

[0099] Dynamic time allocation: dynamically adjust the time period for resource usage;

[0100] Crowd guidance strategy: guide users to relatively empty areas by notifying them;

[0101] The design of the action space enables the system to quickly respond to changes in resource demand and adopt flexible scheduling strategies, thus improving the utilization efficiency of venue resources;

[0102] With resource utilization U and user waiting time T w To optimize the goal, establish a reward function:

[0103] R=λ1·U+λ2·(1-T w )

[0104] Among them, λ1 and λ2 are optimization weights. By designing a reward function that combines resource efficiency and user experience, the system can find the optimal resource allocation strategy in complex scenarios, thereby achieving comprehensive optimization of maximizing resource utilization and minimizing user waiting time, and improving the overall efficiency of venue resource scheduling and user satisfaction.

[0105] Please see attached Figure 1 In a preferred embodiment of the present invention, the security module includes:

[0106] By recording resource allocation information through blockchain technology, the data cannot be tampered with. Blockchain technology ensures the non-tamperability of data on the chain through distributed storage and encrypted hash algorithm, and the consensus mechanism guarantees the synchronization and consistency of data on the chain. Even if some nodes fail, the data will not be lost or tampered with. By recording resource allocation information through blockchain, the system realizes the transparency and traceability of allocation records, effectively preventing data tampering or misoperation;

[0107] Differential privacy technology is used to introduce Gaussian distribution noise in data analysis. Differential privacy technology effectively prevents possible individual privacy leakage in data analysis and enhances users' trust in data security.

[0108] Zero-knowledge proof technology is used to verify the legitimacy of user identity. Zero-knowledge proof achieves the security and privacy of user identity authentication, avoids the leakage of sensitive information that may occur in traditional identity authentication, and improves the security and user experience of the system in sensitive scenarios.

[0109] The method for transmitting stadium resource information described below and the system for transmitting stadium resource information described above can refer to each other.

[0110] The present invention also provides a method for transmitting sports stadium resource information, comprising the following steps:

[0111] S1. Data collection:

[0112] The occupancy status of the venue is collected through the multi-type sensors of the perception module;

[0113] Collect crowd flow information through cameras combined with image analysis algorithms;

[0114] Collect real-time energy consumption data of equipment through smart meters;

[0115] All collected data are uniformly formatted to generate a standardized data transmission structure.

[0116] S2. Data transmission and processing:

[0117] Adjust the transmission rate through adaptive data transmission protocol to ensure transmission efficiency;

[0118] Perform preliminary processing of real-time data at edge computing nodes, including data aggregation and rapid analysis;

[0119] Upload historical data to the cloud for global optimization analysis and complete resource scheduling model training.

[0120] S3, Resource Scheduling and User Services:

[0121] Dynamically adjust resource allocation strategy based on the reinforcement learning algorithm of the resource scheduling module;

[0122] Use personalized recommendation algorithms to predict user needs and recommend suitable venue resources;

[0123] Generate a real-time heat map of resource distribution within the venue for venue managers and users to view.

[0124] S4. Data security assurance:

[0125] Record resource allocation information through blockchain technology to prevent data tampering;

[0126] Use differential privacy technology to add noise during data analysis to protect user privacy;

[0127] Use zero-knowledge proof technology to verify the legitimacy of user identity.

[0128] Please refer to the attached Figure 5 In a preferred embodiment of the present invention, the standardized data transmission structure includes:

[0129] Use JSON format for collected data;

[0130] Organize data according to the preset topic structure: Venue / Sensor / Type / ID;

[0131] The formatted data is transmitted using the MQTT protocol.

[0132] Please refer to the attached Figure 5 In a preferred embodiment of the present invention, the adaptive data transmission protocol includes:

[0133] Transmission rate R t The calculation formula is

[0134]

[0135] Among them, R base represents the basic transmission rate, α represents the adjustment factor, and RTT represents the round-trip time.

[0136] Please refer to the attached Figure 5 In a preferred embodiment of the present invention, the personalized recommendation algorithm includes:

[0137] Use the matrix factorization model to predict the demand score of user μ for resource i;

[0138] The rating prediction formula is:

[0139]

[0140] Among them, μ represents the global bias, bu and b i are the user and resource bias values, qu and p respectively i are the feature vectors of users and resources.

[0141] Please see attached Figure 5 In a preferred embodiment of the present invention, differential privacy protection includes:

[0142] Gaussian distribution noise is added to the data analysis process:

[0143] M(D)+N(0,σ 2 )

[0144] Among them, M(D) is the analysis function, N(0,σ 2 ) indicates that the variance is σ 2 Gaussian distributed noise.

[0145] The method of this embodiment can be used to execute the above system embodiment, and its principles and technical effects are similar, which will not be repeated here.

[0146] 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. A system for transmitting sports venue resource information, characterized in that: include: The perception module is used to deploy multiple types of sensors and IoT devices to collect resource information in the stadium, including venue occupancy status, crowd flow information and equipment energy consumption data, and perform noise reduction, anomaly detection and standardization on the collected data; The transmission module uses adaptive data transmission protocols and edge computing technology to achieve fast data transmission and preliminary processing, while combining a multi-level cache mechanism to optimize transmission efficiency; The resource scheduling module uses deep reinforcement learning algorithms and multi-objective optimization strategies to dynamically allocate venue resources to maximize resource utilization and minimize user waiting time; The user service module predicts user needs through a personalized recommendation algorithm and generates a heat map of resource distribution to display the status of venue resources in real time; The security module combines blockchain technology, differential privacy technology and zero-knowledge proof to ensure the integrity of data transmission, the security of user privacy and the transparency of resource allocation records.

2. A system for transmitting sports venue resource information according to claim 1, characterized in that: The perception module comprises: Infrared sensors for monitoring site occupancy status; The camera used to detect crowd information is combined with the YOLOv7 algorithm to achieve real-time target recognition; Smart meters used to measure energy consumption of equipment, based on ZigBee protocol for data transmission.

3. A system for transmitting sports venue resource information according to claim 1, characterized in that: The transmission module optimizes data transmission efficiency by the following steps: Adopt QUIC-based adaptive data transmission protocol to dynamically adjust the transmission rate; Deploy edge cache at edge nodes to store frequently accessed data; Deploy cloud cache in the cloud to store historical resource data.

4. A system for transmitting sports venue resource information according to claim 1, characterized in that: The resource scheduling module based on the deep reinforcement learning algorithm includes: Define the resource allocation state as the state space S; Define the allocation strategy as the action space A; With resource utilization U and user waiting time T w To optimize the goal, establish a reward function: R=λ1·U+λ2·(1-T w ) Among them, λ1 and λ2 are optimization weights.

5. A system for transmitting sports venue resource information according to claim 1, characterized in that: The security module comprises: Record resource allocation information through blockchain technology to ensure data is tamper-proof; Use differential privacy techniques to introduce Gaussian distributed noise into data analysis; Verify the legitimacy of user identity based on zero-knowledge proof technology.

6. A method for transmitting sports venue resource information according to claim 1, characterized in that: A system for transmitting sports venue resource information according to any one of claims 1 to 5 comprises the following steps: S1. Data collection: The occupancy status of the venue is collected through the multi-type sensors of the perception module; Collect crowd flow information through cameras combined with image analysis algorithms; Collect real-time energy consumption data of equipment through smart meters; All collected data are uniformly formatted to generate a standardized data transmission structure. S2. Data transmission and processing: Adjust the transmission rate through adaptive data transmission protocol to ensure transmission efficiency; Perform preliminary processing of real-time data at edge computing nodes, including data aggregation and rapid analysis; Upload historical data to the cloud for global optimization analysis and complete resource scheduling model training. S3, Resource Scheduling and User Services: Dynamically adjust resource allocation strategy based on the reinforcement learning algorithm of the resource scheduling module; Use personalized recommendation algorithms to predict user needs and recommend suitable venue resources; Generate a real-time heat map of resource distribution within the venue for venue managers and users to view. S4. Data security assurance: Record resource allocation information through blockchain technology to prevent data tampering; Use differential privacy technology to add noise during data analysis to protect user privacy; Use zero-knowledge proof technology to verify the legitimacy of user identity.

7. A method for transmitting sports stadium resource information according to claim 6, characterized in that: Standardized data transmission structures include: Use JSON format for collected data; Organize data according to the preset topic structure: Venue / Sensor / Type / ID; The formatted data is transmitted using the MQTT protocol.

8. A method for transmitting sports stadium resource information according to claim 6, characterized in that: Adaptive data transmission protocols include: Transmission rate R t The calculation formula is Among them, R base represents the basic transmission rate, α represents the adjustment factor, and RTT represents the round-trip time.

9. A method for transmitting sports stadium resource information according to claim 6, characterized in that: Personalized recommendation algorithms include: Use the matrix factorization model to predict the demand score of user μ for resource i; The rating prediction formula is: Where μ represents the global bias, b u and b i are the user and resource bias values, qu and p respectively i are the feature vectors of users and resources.

10. A method for transmitting sports stadium resource information according to claim 6, characterized in that: Differential privacy protection includes: Gaussian distribution noise is added to the data analysis process: M(D)+N(0,σ 2 ) Among them, M(D) is the analysis function, N(0,σ 2 ) indicates that the variance is σ 2 Gaussian distributed noise.

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