Data transmission processing method for digital operation of recreational and sports activities

Abstract

The invention relates to the technical field of data processing and information transmission, in particular to a data transmission processing method for digital operation of recreational and sports activities, which comprises the following steps: constructing a scenarized port mapping system and a distributed multi-link transmission architecture; precisely classifying the literary and sports activity data according to a real-time interaction class, a statistical class and a multimedia class, and matching differentiated transmission strategies; executing multi-link parallel transmission, abnormal link rapid switching, receiving end total integrity verification and standardized integration; and dynamic port adjustment, link collaborative optimization and knowledge base iteration solidification are driven by collecting core indexes of the whole process and combining operation feedback. According to the technical scheme, efficient, safe and reliable transmission of high-concurrency and multi-mode literary and sports activity data can be achieved, and the self-adaptive optimization and continuous evolution capacity is achieved.

Description

Technical Field

[0001] This invention relates to the field of data processing and information transmission technology, specifically to a method for data transmission and processing in the digital operation of cultural and sports activities. Background Technology

[0002] With the deepening development of the digital economy, the digital operation of cultural and sports activities has been widely applied in diverse scenarios such as sports events, artistic performances, and exhibitions, becoming a key path to improve event organization efficiency, audience experience, and data value mining. This type of operation model relies on the efficient collection, transmission, and processing of data throughout the entire process, covering the complete chain from on-site equipment sensing to cloud platform analysis. The data streams generated by cultural and sports activities have significant heterogeneity, high concurrency, and scenario sensitivity, including both real-time interactive information that is extremely sensitive to latency, as well as large-volume multimedia content and batch statistical data. This places unprecedented comprehensive demands on the adaptability, scheduling accuracy, and security mechanisms of the underlying data transmission architecture.

[0003] The core requirement for data transmission systems in the digital operation of cultural and sports activities lies in achieving "on-demand allocation, precise protection, and dynamic optimization." However, existing general-purpose data transmission solutions reveal multiple structural defects when facing such complex business scenarios: First, traditional transmission architectures lack deep adaptation to the specific scenarios of cultural and sports activities (such as indoor closed venues, outdoor open stadiums, and online-offline integrated interactions), making it difficult to maintain a balance between low latency and high throughput under high-concurrency access or sudden traffic surges; Second, data classification is rudimentary, failing to implement differentiated routing, encryption, and bandwidth allocation strategies based on the priority, volume, and security requirements of different data types such as real-time interaction, multimedia streams, and statistical summaries, resulting in obstruction of critical real-time data or waste of resources; Third, anomaly monitoring and response mechanisms are detached from actual operations, unable to quickly locate and switch transmission interruptions caused by device offline, link jitter, or node overload, and lack adaptive adjustment capabilities linked to the progress of the event (such as the opening ceremony and the climax of the finals); Fourth, existing systems generally lack a continuous optimization loop based on operational feedback, making it difficult to accumulate experience from historical events and iteratively upgrade transmission configurations, thus limiting the stability and long-term applicability of the solution.

[0004] Therefore, there is an urgent need for a dedicated data transmission and processing method for digital operation scenarios of cultural and sports activities. This method should systematically solve the core bottlenecks of current technologies in terms of adaptability, real-time performance, security, and sustainable evolution by constructing a scenario-driven distributed architecture, implementing fine-grained data classification and transmission, establishing a real-time monitoring and dynamic optimization mechanism, and integrating operational feedback to form full-cycle iterative capabilities. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method for digital operation data transmission and processing of cultural and sports activities. By constructing a scenario-based port mapping system and a distributed transmission architecture for cultural and sports activities, it achieves refined management and efficient scheduling of diversified cultural and sports activity data streams.

[0006] To achieve the above objectives, the present invention provides a method for digital operation data transmission and processing of cultural and sports activities, comprising: Step 1: Construct a scenario-based port mapping system for cultural and sports activities. In combination with the digital operation scenario of cultural and sports activities, clarify the mapping relationship between local ports and network ports, divide the collection port, relay port and receiving port, and configure the initial bandwidth parameters of each port according to the data characteristics of cultural and sports activities. Step 2: Construct a scenario-adaptive distributed transmission architecture. Based on the above port cluster, divide multiple parallel transmission links according to the data transmission scenarios of cultural and sports activities, define the access matching rules between each link and the corresponding port, and form the basic architecture of multi-link parallel transmission. Step 3: Perform initial architecture monitoring configuration, deploy monitoring logic on each port and link node, set initial monitoring parameters, establish monitoring data collection channels, and complete connectivity and monitoring effectiveness verification; Step 4: Perform the verification and analysis process of the distributed architecture establishment. Verify connectivity by sending simulated cultural and sports activity data, start multiple sets of simulated data to transmit in parallel to verify the independent carrying capacity of the link, simulate the load distribution of nodes in the full cycle load test, and compare the verification data with the preset benchmark value to determine whether the architecture is qualified. Step 5: Accurately classify the data from cultural and sports activities, dividing the transmitted data into three core types: real-time interactive data, statistical data, and multimedia data, and generating feature identifiers and classification rules for each type of data; Step 6: Based on the data type matching and activity-adaptation transmission strategy, assign transmission priorities to different types of data, configure differentiated encryption algorithms, and clarify the algorithm parameters and applicable conditions of each strategy; Step 7: Start multi-link parallel transmission, allocate various cultural and sports activity data to the corresponding links for parallel transmission according to the transmission strategy, and simultaneously start the real-time status monitoring process and the segmented integrity pre-verification process. Step 8: Perform transmission anomaly handling. When anomalies such as link interruption, port congestion, or encryption failure are detected, immediately initiate the link switching process, migrate the transmission tasks of the abnormal link to the backup link, record the anomaly information, and suspend data transmission in the abnormal channel until the fault is resolved. Step 9: The receiving node receives the cultural and sports activity data transmitted from each link according to the preset protocol, associates the real-time monitoring data and segmentation verification information during the transmission process, and establishes a complete data transmission trajectory file. Step 10: Execute the full data integrity verification process, load the complete data feature list preset by the data source as the verification basis, and perform total length verification, segment / frame verification and comparison, overall hash value verification, and field format and integrity verification in sequence; Step 11: Process the data according to the verification results. If the full verification passes, proceed to the data integration stage. If there are missing or incorrect data segments, they are determined to be invalid data segments. Feedback on the failure information is sent to the data source and the retransmission process is triggered. Step 12: Perform data integration and operational format standardization. Segment and integrate the verified complete data, remove duplicate data, unify timestamps, encoding methods and field naming conventions, and generate a standardized operational data set. Step 13: Collect transmission metrics throughout the entire process, summarize the monitoring data and processing feedback data of each node in the architecture, establish a core indicator system including transmission latency, data integrity verification pass rate, port occupancy rate, link packet loss rate, encryption and decryption time, live stream stuttering rate, and real-time data response latency, and set qualified thresholds for each indicator. Step 14: Execute indicator analysis and optimization feedback trigger. Perform real-time analysis on the collected indicators. When an indicator exceeds the qualified threshold or a continuous abnormal situation occurs, trigger the optimization feedback instruction. Step 15: Execute the dynamic port adjustment process, analyze the root cause of the anomaly based on the feedback command, retrieve the port resource pool to select suitable idle backup ports, migrate the transmission tasks of the abnormal port to the backup port, and configure new mapping relationships and bandwidth parameters. Step 16: Perform connectivity and bandwidth stress tests on the switched ports. After confirming that all indicators have returned to the acceptable range, solidify the new port-link mapping relationship and update the architecture configuration. Step 17: Record the entire process of port adjustment, including the triggering reason, port information before and after the adjustment, adjustment time and optimization effect data, and synchronize it to the operation platform for archiving; Step 18: Perform collaborative optimization of link and transmission strategies, and synchronously adjust the link allocation scheme, transmission priority weights, and encryption algorithm parameters in conjunction with optimization feedback instructions; Step 19: Establish an operational feedback collection mechanism, connect with the digital operation platform for cultural and sports activities, collect data application feedback, abnormal event feedback and scenario adaptation feedback, establish feedback information archives and classify and mark them; Step 20: Perform feedback-metric correlation analysis, and conduct correlation analysis between the collected operational feedback and core transmission metrics to identify key areas that need optimization; Step 21: Develop targeted iterative optimization plans, add scenario-based architecture configuration templates for different types of cultural and sports activities, adjust the qualification thresholds of core indicators, monitoring cycles, encryption algorithm parameters, and improve the anomaly handling process; Step 22: Perform iterative verification and solidification, apply the optimization solution to the architecture configuration and perform verification through simulation or actual activities, and compare the transmission indicators and operational feedback before and after optimization; Step 23: Establish an optimization knowledge base, archive information such as the background, optimization scheme, verification results, and fixed parameters of each iteration of optimization, and provide a reference for subsequent similar cultural and sports activities.

[0007] Preferably, in the construction of the scenario-based port mapping system for cultural and sports activities, the acquisition end port is connected to the check-in device, the event sensor, the live broadcast device and the interactive terminal, the relay end port includes the venue edge node and the regional relay server, and the receiving end port is connected to the operation data center server. The initial bandwidth parameters are set according to the bandwidth requirements of the live broadcast stream and the low latency requirements of the real-time interactive data, wherein the real-time data channel reserves no less than 30% of the total bandwidth as dedicated resources.

[0008] Preferably, in the constructed scenario-adaptive distributed transmission architecture, the multiple parallel transmission links include a real-time event data link, a viewer interaction data link, a multimedia live streaming link, and a statistical analysis data link. Each link has an independent traffic control strategy and security isolation mechanism to ensure that different types of data do not interfere with each other. Furthermore, the live streaming device port is exclusively connected to the multimedia live streaming link, while the check-in device port is only allowed to connect to the real-time event data link.

[0009] Preferably, in the initial monitoring configuration of the execution architecture, the initial monitoring parameters set include a port connectivity threshold of 100%, a link latency baseline of real-time data latency ≤100ms, a node load baseline of no more than 20% idle load, and the monitoring data acquisition channel adopts a heartbeat mechanism to achieve millisecond-level status awareness. The verification process covers three levels of detection: physical layer connectivity, network layer reachability, and application layer service availability.

[0010] Preferably, in the verification analysis process of establishing the distributed architecture, the connectivity verification uses simulated sports and cultural activity data including simulated check-in data and simulated competition results data, and the verification covers all collection, relay, and receiving ports; the link parallelism verification transmits real-time interactive data, live stream data, and statistical data simultaneously, requiring no crosstalk between links and a transmission success rate of ≥99.9%; the load balancing verification simulates three typical working conditions: light load during the preparation period, heavy load during the peak period, and medium load during the closing period, requiring a load deviation of ≤10% between nodes.

[0011] Preferably, in the precise classification of cultural and sports activity operation data, real-time interactive data includes real-time event results, on-site check-in data, real-time audience voting / like data, and device status feedback data; statistical data includes event registration statistics, audience traffic statistics, event participant statistics, and summary data of operational indicators; and multimedia data includes live event videos, replays of event highlights, event promotional images / audio, and on-site monitoring videos. The feature identifiers use the prefix "RT-" to mark real-time data, "MED-" to mark multimedia data, and "STA-" to mark statistical data.

[0012] Preferably, in the transmission strategy based on data type matching and cultural activity adaptation, real-time interactive data is set to the highest priority, and weighted fair queue scheduling is used to ensure end-to-end latency ≤100ms; multimedia data is set to medium priority, and adaptive bitrate adjustment is used to ensure smoothness; statistical data is set to normal priority, and batch packet transmission is used to ensure integrity; in terms of encryption algorithms, real-time interactive data uses AES-256 high-strength symmetric encryption, statistical data uses RSA asymmetric encryption, and large-volume multimedia data uses segmented encryption combined with a checksum mechanism, with the segment length adapted to the H.264 video frame structure.

[0013] Preferably, in the process of initiating multi-link parallel transmission, real-time status monitoring collects transmission rate, link packet loss rate, port occupancy rate, and encryption / decryption time at preset intervals. The preset intervals are 100ms / time for real-time data, 500ms / time for multimedia data, and 1s / time for statistical data. Segment integrity pre-verification performs verification and validation on multimedia data at each transmission node and performs frame-level CRC verification on real-time interactive data. If the verification fails, automatic retransmission is triggered and the location of the abnormal node is recorded.

[0014] Preferably, in the transmission anomaly handling process, the link switching process completes the switching operation to the backup link within 50ms after the main link is detected to be interrupted, and the backup link has a bandwidth capacity of not less than 80% of the main link; the anomaly information record includes the anomaly type, occurrence time, involved port number, link ID and associated activity area code; for anomalies of real-time interactive data, an alarm notification is pushed to the operation platform, and the alarm level is set to Level 1 Emergency.

[0015] Preferably, the data transmission trajectory archive established by the receiving node includes the data source device ID, collection timestamp, list of transit nodes, processing time of each node, final reception time, and corresponding link path information. The archive storage period is no less than 180 days, and it supports fast retrieval by dimensions such as device, time, and activity type.

[0016] Preferably, in the full data integrity verification process, the data feature list includes the expected total length of various types of data, the checksum of each segment / frame, the overall SHA-256 hash value, and the core field integrity rules. The field rules require that the event data must include four items: "event ID, project name, result, and timestamp". If any one of them is missing, it is judged as a format error.

[0017] Preferably, in the data processing based on the verification results, the retransmission process is executed a maximum of 3 times. Data that fails verification after exceeding the number of times is marked as invalid and archived. The archived information is associated with the original data source device and the activity area, which is used for later fault tracing and system diagnosis.

[0018] Preferably, in the execution data integration and operation format standardization, the timestamp is uniformly converted to UTC+8 time zone, the data encoding is forced to use UTF-8 format, and the field naming follows the operation data specification such as "event_id-event ID, match_score-match score". The standardized data set is asynchronously pushed to the operation platform through message middleware.

[0019] Preferably, the core indicator system of the data acquisition process transmission indicators also includes end-to-end jitter, retransmission rate and decryption success rate. The qualified thresholds are set as follows: live stream stuttering rate ≤1%, real-time data response latency ≤100ms, data integrity verification pass rate ≥99.5%, link packet loss rate ≤1%, and port occupancy rate not exceeding 80% within 5 seconds.

[0020] Preferably, in the execution indicator analysis and optimization feedback triggering, the situations that trigger optimization feedback include real-time data response delay exceeding 100ms for 3 consecutive times, data integrity verification pass rate being less than 99.5%, port occupancy rate exceeding 80% for 5 seconds, link packet loss rate exceeding 1%, and live stream stuttering rate exceeding 1%. The feedback instruction carries the abnormal indicator type, involved port and link, abnormal duration and associated activity scenario tag.

[0021] Preferably, in the dynamic port adjustment process, the root cause of the anomaly is determined based on a comprehensive judgment of historical monitoring data and current load trends. The backup port is selected from the preset port resource pool, choosing ports with the same functional roles and currently idle. During the migration process, data sequence consistency is maintained to avoid out-of-order data.

[0022] Preferably, in the process of performing connectivity and bandwidth stress tests on the switched ports, the test content includes bidirectional communication connectivity between ports, throughput compliance rate under specified bandwidth, and stability performance under high concurrency impact. The test pass criteria are 100% connectivity, throughput reaching more than 95% of the set value, and no packet loss.

[0023] Preferably, the information recorded during the entire port adjustment process includes the trigger reason code, the original port and the new port number, the switching time, the adjustment time, the bandwidth configuration before and after, the test result summary, and the final optimization effect evaluation value. All records are synchronized to the central log system in real time.

[0024] Preferably, in the collaborative optimization of the execution link and transmission strategy, the link allocation scheme is dynamically adjusted according to the activity stage. For example, during the peak of the activity, the live broadcast link is expanded by 20%, and a dedicated backup link is added for real-time interactive data. The transmission priority weight is temporarily increased during the final stage of the competition to improve the priority level of the competition results data. The segmented encryption segment length is dynamically optimized according to the resolution of the competition replay video.

[0025] Preferably, in the establishment of the operational feedback collection mechanism, the data application feedback includes report generation efficiency scores, real-time data display delay feedback values, and multimedia playback smoothness scores; abnormal event feedback records the number of transmission interruptions, the number of affected users, and the degree of business loss; scenario adaptation feedback distinguishes the personalized needs of three types of activities: sports events, cultural performances, and exhibitions, and the feedback information is automatically classified and marked according to dimensions such as "high urgency - high importance" and "high urgency - low importance".

[0026] Preferably, in the execution feedback-indicator correlation analysis, if feedback of "frequent buffering during live performance" is received, the system will automatically correlate and analyze the packet loss rate, transmission latency, and buffer hit rate of the live link during that period to determine whether it is caused by insufficient bandwidth or improper routing strategy; if feedback of "exhibition data statistics delay is too long" is received, the system will focus on analyzing the priority settings of statistical data, link contention status, and batch processing interval parameters.

[0027] Preferably, in the formulation of the targeted iterative optimization scheme, the newly added event scenario template presets a combination of high-frequency and low-latency parameters, while the exhibition scenario template focuses on the configuration of stable transmission of large amounts of data; performance parameter optimization includes increasing the live broadcast link bandwidth threshold to 1Gbps and shortening the real-time data monitoring cycle to 50ms for large-scale events; and fault tolerance mechanism optimization enables a dual backup link hot standby mode at key nodes such as the opening ceremony and the finals.

[0028] Preferably, in the execution of iterative verification and solidification, the verification method includes simulating the target activity scenario load in a sandbox environment, or trying out the optimized configuration in the next similar activity, comparing the changes in core indicators and operational feedback before and after optimization, and if the target is met, the new parameters are written into the default configuration library; if the target is not met, a secondary analysis process is initiated.

[0029] Preferably, in the establishment of the optimization knowledge base, the archived information includes the activity type corresponding to this optimization, the original feedback problem description, the optimization measures taken, the verification test report, the final fixed parameter set, and the effect quantitative evaluation results. The knowledge base is stored in a distributed database and supports multi-dimensional index queries based on activity type, problem category, optimization method, etc.

[0030] Compared with the closest existing technology, the present invention has the following advantages: By constructing a scenario-based port mapping system and distributed transmission architecture for cultural and sports activities, refined management and efficient scheduling of diverse data streams from these activities were achieved. The introduction of a multi-dimensional data classification mechanism and differentiated transmission strategies significantly improved the priority guarantee capability for real-time interactive data and the transmission stability of multimedia data. The establishment of an end-to-end real-time monitoring and segmented verification mechanism enhanced the system's ability to quickly identify and respond to link anomalies, port congestion, and data corruption, ensuring the integrity and timeliness of data transmission. The implementation of dynamic port adjustment and link collaborative optimization processes formed an adaptive closed-loop control of "monitoring-analysis-feedback-adjustment," enabling the system to autonomously optimize resource allocation based on actual operating conditions. The construction of an operational feedback-driven iterative optimization mechanism and knowledge base accumulation system transformed experience from single-event experience to long-term evolution capabilities, continuously improving the scenario adaptability and system robustness of the solution. Overall, this invention solves the core bottlenecks of traditional general-purpose data transmission solutions in the digital operation of cultural and sports activities, such as poor adaptability, insufficient real-time performance, weak security, and lack of continuous optimization capabilities. It provides reliable, intelligent, and scalable technical support for large-scale, high-concurrency, and multimodal data transmission in cultural and sports activities. Attached Figure Description

[0031] Figure 1 This is a flowchart of a digital operation data transmission and processing method for cultural and sports activities provided by the present invention. Detailed Implementation

[0032] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0034] Example 1: This invention provides a method for digital operation data transmission and processing of cultural and sports activities, such as... Figure 1 As shown, it includes: Step (1) involves constructing a scenario-based port mapping system for cultural and sports activities. This system clarifies the mapping relationship between local and network ports based on the digital operation scenario of these activities, dividing them into acquisition ports, relay ports, and receiving ports. Initial bandwidth parameters for each port are configured according to the characteristics of the cultural and sports activity data. Specifically, acquisition ports connect to check-in devices, event sensors, live streaming equipment, and interactive terminals; relay ports include venue edge nodes and regional relay servers; and receiving ports connect to the operation data center server. Initial bandwidth parameters are set based on the bandwidth requirements of the live stream and the low-latency requirements of real-time interactive data, with dedicated resources of no less than 30% of the total bandwidth reserved for the real-time data channel. The establishment of this port mapping system ensures logical clarity and physical isolation between the data source, intermediate processing nodes, and the final aggregation point, laying the foundation for subsequent differentiated transmission.

[0035] In the above method, step (2) constructs a scenario-adaptive distributed transmission architecture. Based on the aforementioned port cluster, multiple parallel transmission links are divided according to the data transmission scenarios of cultural and sports activities. Access matching rules for each link and its corresponding port are defined to form the basic architecture for multi-link parallel transmission. Specifically, the multiple parallel transmission links include the event real-time data link, the audience interaction data link, the multimedia live broadcast link, and the statistical analysis data link. Each link has an independent traffic control strategy and security isolation mechanism to ensure that different types of data do not interfere with each other. The access matching rules mandate that the live broadcast device port is exclusively connected to the multimedia live broadcast link, and the check-in device port is only allowed to connect to the event real-time data link. This physically eliminates the possibility of unauthorized data mixing into the critical link, ensuring the purity and timeliness of core business data.

[0036] In the above method, step (3) involves executing the initial monitoring configuration of the architecture, deploying monitoring logic on each port and link node, setting initial monitoring parameters, establishing a monitoring data acquisition channel, and completing connectivity and monitoring validity verification. Specifically, the set initial monitoring parameters include a port connectivity threshold of 100%, a link latency baseline of real-time data latency ≤ 100ms, and a node load baseline of no more than 20% idle load. The monitoring data acquisition channel uses a heartbeat mechanism to achieve millisecond-level status awareness. The heartbeat packet sending interval is dynamically adjusted according to the link type: 50ms for real-time links and 200ms for other links. The verification process covers three levels of detection: physical layer connectivity, network layer reachability, and application layer service availability. Only when all three levels of detection are passed is the node's monitoring configuration considered valid, and the next stage can proceed.

[0037] In the above method, step (4) executes the verification and analysis process of the distributed architecture establishment. Connectivity verification is performed by sending simulated cultural and sports activity data. Multiple sets of simulated data are transmitted in parallel to verify the independent carrying capacity of the links. The load distribution of nodes is simulated throughout the entire cycle. The verification data is compared with the preset benchmark value to determine whether the architecture is qualified. Specifically, the simulated cultural and sports activity data used for connectivity verification includes simulated check-in data and simulated competition results data. The verification covers all collection, relay, and receiving ports to ensure no single point of failure. Link parallelism verification simultaneously transmits real-time interactive data, live stream data, and statistical data, requiring no crosstalk between links and a transmission success rate ≥99.9%. Load balancing verification simulates three typical operating conditions: light load during the activity preparation period, heavy load during peak periods, and medium load during the closing period. The load deviation between nodes is required to be ≤10% to ensure that the system can maintain stable performance in different operating stages.

[0038] In the above method, step (5) accurately classifies the operational data of cultural and sports activities, dividing the transmitted data into three core types: real-time interactive data, statistical data, and multimedia data, and generating feature identifiers and classification rules for each type of data. Specifically, real-time interactive data includes real-time event results, on-site check-in data, real-time audience voting / like data, and device status feedback data; statistical data includes event registration statistics, audience traffic statistics, event participant statistics, and operational indicator summary data; multimedia data includes live event videos, event highlights replays, event promotional images / audio, and on-site monitoring videos. The feature identifiers use the prefix "RT-" to mark real-time data, "MED-" to mark multimedia data, and "STA-" to mark statistical data. This prefix is ​​a fixed field in the data packet header and is used for subsequent routing and policy matching.

[0039] In the above method, step (6) assigns transmission priorities to different types of data based on a transmission strategy that matches data types and cultural activities, configures differentiated encryption algorithms, and clarifies the algorithm parameters and applicable conditions of each strategy. The schematic diagram of the core principle framework of the transmission strategy based on data type matching and cultural activities in this invention illustrates the mapping relationship between data type, priority, encryption algorithm, and transmission protection measures. Specifically, real-time interactive data is set to the highest priority, and weighted fair queue scheduling is used to ensure end-to-end latency ≤100ms; multimedia data is set to medium priority, and adaptive bitrate adjustment is used to ensure smoothness; statistical data is set to ordinary priority, and batch packet transmission is used to ensure integrity. In terms of encryption algorithms, real-time interactive data uses AES-256 high-strength symmetric encryption with a key length of 256 bits and 14 rounds; statistical data uses RSA asymmetric encryption with a public key length of 2048 bits; and large multimedia data uses segmented encryption combined with a checksum mechanism, with the segment length adapted to the H.264 video frame structure, usually a GOP (Group of Pictures) unit.

[0040] In the above method, step (7) initiates multi-link parallel transmission, allocating various types of cultural and sports activity data to corresponding links for parallel transmission according to the transmission strategy, and simultaneously initiating the real-time status monitoring process and the segmented integrity pre-verification process. Specifically, the real-time status monitoring collects transmission rate, link packet loss rate, port occupancy rate, and encryption / decryption time according to a preset period, with preset periods of 100ms / time for real-time data, 500ms / time for multimedia data, and 1s / time for statistical data. The segmented integrity pre-verification performs verification and validation on multimedia data at each transmission node, and performs frame-level CRC verification on real-time interactive data. If the verification fails, automatic retransmission is triggered and the location of the abnormal node is recorded. This dual guarantee mechanism intervenes in quality control during data transmission, rather than waiting for all data to arrive before verification, greatly improving the timeliness of error detection and correction.

[0041] In the above method, step (8) involves handling transmission anomalies. When anomalies such as link interruption, port congestion, or encryption failure are detected, a link switching process is immediately initiated to migrate the transmission tasks of the abnormal link to the backup link. The anomaly information is recorded, and data transmission in the abnormal channel is suspended until the fault is resolved. Specifically, the link switching process completes the switching operation to the backup link within 50ms after detecting a primary link interruption. The backup link has a bandwidth capacity of no less than 80% of the primary link. The anomaly information record includes the anomaly type, occurrence time, involved port number, link ID, and associated activity area code. For anomalies in real-time interactive data, an additional alarm notification is pushed to the operation platform, with the alarm level set to Level 1 Emergency, to ensure that maintenance personnel can intervene and handle the issue immediately.

[0042] In the above method, step (9) involves the receiving node receiving the cultural and sports activity data transmitted through each link according to a preset protocol, associating the real-time monitoring data and segmentation verification information during the transmission process, and establishing a complete data transmission trajectory archive. Specifically, the data transmission trajectory archive includes the data source device ID, collection timestamp, list of transit nodes, processing time of each node, final reception time, and corresponding link path information. The archive storage period is no less than 180 days, and it supports fast retrieval by device, time, activity type, and other dimensions. This archive provides complete contextual information for subsequent data tracing, fault diagnosis, and performance analysis.

[0043] In the above method, step (10) executes a full data integrity verification process, loading a pre-set complete data feature list from the data source as the verification basis, and sequentially performing total length verification, segment / frame checksum comparison, overall hash value verification, and field format and integrity verification. Specifically, the data feature list includes the expected total length of various types of data, the checksum of each segment / frame, the overall SHA-256 hash value, and the core field integrity rules. The field rules require that the competition data must include four items: "competition ID, project name, result, and timestamp," and any missing item is considered a format error. The verification process strictly compares each item in the list to ensure that the data is not tampered with, lost, or damaged during transmission.

[0044] In the above method, step (11) processes the data based on the verification results. If the full verification passes, the data integration phase begins. If there are missing or erroneous data segments, they are determined to be invalid, and failure information is sent back to the data source, triggering a retransmission process. Specifically, the retransmission process is executed a maximum of three times. Data that fails verification after exceeding the number of attempts is marked as invalid and archived. The archived information is associated with the original data source device and the activity area, used for later fault tracing and system diagnosis. This mechanism ensures data quality while preventing the entire process from stalling due to problems with individual data packets.

[0045] In the above method, step (12) involves data integration and operational format standardization. The verified complete data is segmented and integrated, duplicate data is removed, and timestamps, encoding methods, and field naming conventions are standardized to generate a standardized operational data set. Specifically, timestamps are uniformly converted to the UTC+8 time zone, data encoding is enforced to use the UTF-8 format, and field naming follows operational data specifications such as "event_id - activity ID, match_score - match score". The standardized data set is asynchronously pushed to the operational platform via a message middleware to ensure that downstream applications can consume data in a unified and standardized format.

[0046] In the above method, step (13) involves collecting transmission metrics throughout the entire process, summarizing monitoring data and processing feedback data from each node of the architecture, establishing a core indicator system that includes transmission latency, data integrity verification pass rate, port occupancy rate, link packet loss rate, encryption / decryption time, live stream stuttering rate, and real-time data response latency, and setting qualification thresholds for each indicator. Specifically, the core indicator system also includes end-to-end jitter, retransmission rate, and decryption success rate. The qualification thresholds are set as follows: live stream stuttering rate ≤1%, real-time data response latency ≤100ms, data integrity verification pass rate ≥99.5%, link packet loss rate ≤1%, and port occupancy rate not exceeding 80% for 5 seconds. These quantitative indicators constitute the objective basis for system health assessment.

[0047] In the above method, step (14) involves performing indicator analysis and optimization feedback triggering. This involves real-time analysis of the collected indicators, and triggering an optimization feedback instruction when an indicator exceeds a qualified threshold or experiences a persistent abnormal situation. Specifically, the situations that trigger optimization feedback include real-time data response latency exceeding 100ms three consecutive times, data integrity verification pass rate below 99.5%, port occupancy exceeding 80% for five consecutive seconds, link packet loss rate exceeding 1%, and live stream stuttering rate exceeding 1%. The feedback instruction carries the abnormal indicator type, involved ports and links, abnormal duration, and associated activity scenario tags, providing input for subsequent precise optimization.

[0048] In the above method, step (15) involves executing a dynamic port adjustment process, analyzing the root cause of the anomaly based on feedback instructions, retrieving suitable idle backup ports from the port resource pool, migrating the transmission tasks of the abnormal port to the backup port, and configuring new mapping relationships and bandwidth parameters. Specifically, the anomaly root cause is determined based on a comprehensive assessment of historical monitoring data and current load trends. For example, if the port occupancy rate remains high but the link packet loss rate is normal, it is determined to be a computing resource bottleneck rather than a network bottleneck. Backup port selection involves choosing ports with the same functional roles and currently idle from a pre-set port resource pool. A sequence number preservation mechanism is used during the migration process to ensure that the data packet order is not disordered, avoiding application layer parsing errors caused by out-of-order packets.

[0049] In the above method, step (16) involves performing connectivity and bandwidth stress tests on the switched ports. After confirming that all indicators have returned to the acceptable range, the new port-link mapping relationship is solidified, and the architecture configuration is updated. Specifically, the tests include bidirectional communication connectivity between ports, throughput compliance rate under specified bandwidth, and stability performance under high concurrency impact. The test pass criteria are 100% connectivity, throughput reaching more than 95% of the set value, and no packet loss. Only after passing all tests will the new configuration be written to persistent storage and become part of the system's default configuration.

[0050] In the above method, step (17) records the entire port adjustment process information, including the triggering reason, port information before and after the adjustment, adjustment time, and optimization effect data, and synchronizes it to the operation platform for archiving. Specifically, the adjustment record includes the triggering reason code, the original port and new port number, the switching time, the adjustment time, the bandwidth configuration before and after, the test result summary, and the final optimization effect evaluation value. All records are synchronized to the central log system in real time to form a complete operation audit trail.

[0051] In the above method, step (18) involves performing collaborative optimization of the link and transmission strategies, and synchronously adjusting the link allocation scheme, transmission priority weight, and encryption algorithm parameters in conjunction with optimization feedback instructions. Specifically, the link allocation scheme is dynamically adjusted according to the activity stage, such as expanding the live streaming link by 20% during the peak of the activity and adding a dedicated backup link for real-time interactive data; the transmission priority weight temporarily increases the priority level of the competition results data during the final stage of the competition; and the segmented encryption segment length is dynamically optimized according to the resolution of the competition replay video, for example, using a larger segment length for 4K video to improve encryption efficiency.

[0052] In the above method, step (19) establishes an operational feedback collection mechanism, connects to the digital operation platform for cultural and sports activities, collects data application feedback, abnormal event feedback, and scenario adaptation feedback, and establishes and categorizes feedback information files. Specifically, data application feedback includes report generation efficiency scores, real-time data display delay feedback values, and multimedia playback smoothness scores; abnormal event feedback records the number of transmission interruptions, the number of affected users, and the degree of business loss; scenario adaptation feedback distinguishes the personalized needs of three types of activities: competitions, cultural performances, and exhibitions. Feedback information is automatically categorized and marked according to dimensions such as "high urgency - high importance" and "high urgency - low importance" for easy subsequent processing.

[0053] In the above method, step (20) involves performing feedback-indicator correlation analysis, which correlates the collected operational feedback with core transmission indicators to pinpoint key areas requiring optimization. Specifically, if feedback is received that "live performances of cultural performances are frequently experiencing buffering," the system automatically correlates and analyzes the packet loss rate, transmission latency, and buffer hit rate of the live broadcast link during that period to determine whether it is caused by insufficient bandwidth or improper routing strategies. If feedback is received that "the exhibition data statistics delay is too long," the system focuses on analyzing the priority settings of statistical data, link contention, and batch processing interval parameters. This correlation analysis breaks down the barriers between business perception and technical indicators.

[0054] In the above method, step (21) involves formulating a targeted iterative optimization plan, adding scenario-based architecture configuration templates for different types of cultural and sports activities, adjusting the qualified thresholds of core indicators, monitoring cycles, and encryption algorithm parameters, and improving the anomaly handling process. Specifically, the newly added event scenario template presets a combination of high-frequency and low-latency parameters, while the exhibition scenario template focuses on the stable transmission configuration of large amounts of data; performance parameter optimization includes increasing the live streaming link bandwidth threshold to 1Gbps and shortening the real-time data monitoring cycle to 50ms for large-scale events; and fault tolerance mechanism optimization enables a dual-backup link hot standby mode at key nodes such as the opening ceremony and the finals.

[0055] In the above method, step (22) involves iterative verification and consolidation. The optimized solution is applied to the architecture configuration and verified through simulation or actual activities. The transmission metrics and operational feedback effects before and after optimization are compared. Specifically, the verification methods include simulating the target activity scenario load in a sandbox environment or trying out the optimized configuration in the next similar activity. The changes in core metrics and the improvement in operational feedback before and after optimization are compared. If the target is met, the new parameters are written into the default configuration library. If the target is not met, a secondary analysis process is initiated, forming a rigorous PDCA cycle.

[0056] In the above method, step (23) establishes an optimization knowledge base, archiving information such as the background, optimization scheme, verification results, and fixed parameters of each iteration of optimization, providing a reference for subsequent similar cultural and artistic activities. Specifically, the archived information includes the activity type corresponding to this optimization, the original feedback problem description, the optimization measures taken, the verification test report, the final fixed parameter set, and the quantitative evaluation results of the effect. The knowledge base is stored in a distributed database, supporting multi-dimensional index queries based on activity type, problem category, optimization method, etc., realizing the accumulation and reuse of experience assets.

[0057] To illustrate the implementation effect of this invention more specifically, a large-scale international track and field championship application example is constructed below. In this scenario, the system first constructs a mapping system based on the scale of the event and the venue layout, including 200 acquisition ports (connecting to starting block sensors, high-speed cameras at the finish line, spectator interactive screens, etc.), 20 relay ports (deployed at edge computing nodes in each venue), and 5 receiving ports (connecting to the central data center). The initial bandwidth configuration is a total outbound bandwidth of 10Gbps, of which 3Gbps is dedicated to real-time event results data. The system divides the data into four core links: the real-time event data link (highest priority), the spectator interactive data link (medium priority), the 4K high-definition live broadcast link (medium priority), and the post-race statistics link (normal priority). At the critical juncture of the 100-meter final, the system detected a brief increase in the response latency of the real-time event data link to 110ms, triggering optimization feedback. After analysis, the system determined that this was a surge in instantaneous traffic and immediately called upon an idle high-performance port from the resource pool to offload some interactive data and temporarily increased the priority weight of the results data link. After the switch, the latency quickly dropped back to 80ms, which was verified through stress testing. After the competition, the operations team reported that "the results were displayed with zero delay and the audience experience was excellent." This optimization case, along with its parameters, was archived in the "Major Events - Final Stage" knowledge base template for future events to use directly.

[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for data transmission and processing in the digital operation of cultural and sports activities, characterized in that, include: Step 1: Construct a scenario-based port mapping system for cultural and sports activities. In combination with the digital operation scenario of cultural and sports activities, clarify the mapping relationship between local ports and network ports, divide the collection port, relay port and receiving port, and configure the initial bandwidth parameters of each port according to the data characteristics of cultural and sports activities. Step 2: Construct a scenario-adaptive distributed transmission architecture. Based on the above port cluster, divide multiple parallel transmission links according to the data transmission scenarios of cultural and sports activities, define the access matching rules between each link and the corresponding port, and form the basic architecture of multi-link parallel transmission. Step 3: Perform initial architecture monitoring configuration, deploy monitoring logic on each port and link node, set initial monitoring parameters, establish monitoring data collection channels, and complete connectivity and monitoring effectiveness verification; Step 4: Perform the verification and analysis process of the distributed architecture establishment. Verify connectivity by sending simulated cultural and sports activity data, start multiple sets of simulated data to transmit in parallel to verify the independent carrying capacity of the link, simulate the load distribution of nodes in the full cycle load test, and compare the verification data with the preset benchmark value to determine whether the architecture is qualified. Step 5: Accurately classify the data from cultural and sports activities, dividing the transmitted data into three core types: real-time interactive data, statistical data, and multimedia data, and generating feature identifiers and classification rules for each type of data; Step 6: Based on the data type matching and activity-adaptation transmission strategy, assign transmission priorities to different types of data, configure differentiated encryption algorithms, and clarify the algorithm parameters and applicable conditions of each strategy; Step 7: Start multi-link parallel transmission, allocate various cultural and sports activity data to the corresponding links for parallel transmission according to the transmission strategy, and simultaneously start the real-time status monitoring process and the segmented integrity pre-verification process. Step 8: Perform transmission anomaly handling. When anomalies such as link interruption, port congestion, or encryption failure are detected, immediately initiate the link switching process, migrate the transmission tasks of the abnormal link to the backup link, record the anomaly information, and suspend data transmission in the abnormal channel until the fault is resolved. Step 9: The receiving node receives the cultural and sports activity data transmitted from each link according to the preset protocol, associates the real-time monitoring data and segmentation verification information during the transmission process, and establishes a complete data transmission trajectory file. Step 10: Execute the full data integrity verification process, load the complete data feature list preset by the data source as the verification basis, and perform total length verification, segment / frame verification and comparison, overall hash value verification, and field format and integrity verification in sequence; Step 11: Process the data according to the verification results. If the full verification passes, proceed to the data integration stage. If there are missing or incorrect data segments, they are determined to be invalid data segments. Feedback on the failure information is sent to the data source and the retransmission process is triggered. Step 12: Perform data integration and operational format standardization. Segment and integrate the verified complete data, remove duplicate data, unify timestamps, encoding methods and field naming conventions, and generate a standardized operational data set. Step 13: Collect transmission metrics throughout the entire process, summarize the monitoring data and processing feedback data of each node in the architecture, establish a core indicator system including transmission latency, data integrity verification pass rate, port occupancy rate, link packet loss rate, encryption and decryption time, live stream stuttering rate, and real-time data response latency, and set qualified thresholds for each indicator. Step 14: Execute indicator analysis and optimization feedback trigger. Perform real-time analysis on the collected indicators. When an indicator exceeds the qualified threshold or a continuous abnormal situation occurs, trigger the optimization feedback instruction. Step 15: Execute the dynamic port adjustment process, analyze the root cause of the anomaly based on the feedback command, retrieve the port resource pool to select suitable idle backup ports, migrate the transmission tasks of the abnormal port to the backup port, and configure new mapping relationships and bandwidth parameters. Step 16: Perform connectivity and bandwidth stress tests on the switched ports. After confirming that all indicators have returned to the acceptable range, solidify the new port-link mapping relationship and update the architecture configuration. Step 17: Record the entire process of port adjustment, including the triggering reason, port information before and after the adjustment, adjustment time and optimization effect data, and synchronize it to the operation platform for archiving; Step 18: Perform collaborative optimization of link and transmission strategies, and adjust the link allocation scheme, transmission priority weights and encryption algorithm parameters synchronously in conjunction with optimization feedback instructions; Step 19: Establish an operational feedback collection mechanism, connect with the digital operation platform for cultural and sports activities, collect data application feedback, abnormal event feedback and scenario adaptation feedback, establish feedback information archives and classify and mark them; Step 20: Perform feedback-metric correlation analysis, and conduct correlation analysis between the collected operational feedback and core transmission metrics to identify key areas that need optimization; Step 21: Develop targeted iterative optimization plans, add scenario-based architecture configuration templates for different types of cultural and sports activities, adjust the qualification thresholds of core indicators, monitoring cycles, encryption algorithm parameters, and improve the anomaly handling process; Step 22: Perform iterative verification and solidification, apply the optimization solution to the architecture configuration and perform verification through simulation or actual activities, and compare the transmission indicators and operational feedback before and after optimization; Step 23: Establish an optimization knowledge base, archive information such as the background, optimization scheme, verification results, and fixed parameters of each iteration of optimization, and provide a reference for subsequent similar cultural and sports activities.

2. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The acquisition end port connects to the check-in device, event sensor, live streaming device and interactive terminal. The relay end port includes the venue edge node and regional relay server. The receiving end port connects to the operation data center server. The initial bandwidth parameters are set according to the bandwidth requirements of the live stream and the low latency requirements of real-time interactive data. The real-time data channel reserves no less than 30% of the total bandwidth as dedicated resources.

3. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The multiple parallel transmission links include the event real-time data link, the audience interaction data link, the multimedia live broadcast link, and the statistical analysis data link. Each link has an independent traffic control strategy and security isolation mechanism. The live broadcast device port is dedicated to the multimedia live broadcast link, while the check-in device port is only allowed to access the event real-time data link.

4. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The real-time interactive data includes real-time event results, on-site check-in data, real-time audience voting / likes data, and device status feedback data. The statistical data includes event registration statistics, audience traffic statistics, event participant statistics, and operational indicator summary data. The multimedia data includes live event videos, event highlights replays, event promotional images / audio, and on-site monitoring videos. The feature identifiers use the prefix "RT-" to mark real-time data, "MED-" to mark multimedia data, and "STA-" to mark statistical data.

5. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: Real-time interactive data is set to the highest priority, and weighted fair queue scheduling is used to ensure end-to-end latency ≤100ms; multimedia data is set to medium priority, and adaptive bitrate adjustment is used to ensure smoothness; statistical data is set to normal priority, and batch packet transmission is used to ensure integrity; in terms of encryption algorithms, real-time interactive data uses AES-256 high-strength symmetric encryption, statistical data uses RSA asymmetric encryption, and large multimedia data uses segmented encryption combined with a checksum mechanism, with the segment length adapted to the H.264 video frame structure.

6. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: Real-time status monitoring collects transmission rate, link packet loss rate, port occupancy rate, and encryption / decryption time at preset intervals. The preset intervals are 100ms / time for real-time data, 500ms / time for multimedia data, and 1s / time for statistical data. Segment integrity pre-verification performs verification and validation on multimedia data at each transmission node and performs frame-level CRC verification on real-time interactive data. If the verification fails, automatic retransmission is triggered and the location of the abnormal node is recorded.

7. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The link switching process completes the switching operation to the backup link within 50ms after detecting the primary link interruption. The backup link has a bandwidth capacity of no less than 80% of the primary link. The anomaly information record includes the anomaly type, occurrence time, involved port number, link ID, and associated activity area code. For anomalies in real-time interactive data, an alarm notification is pushed to the operation platform, and the alarm level is set to Level 1 Emergency.

8. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The data transmission trajectory archive includes the data source device ID, collection timestamp, list of transit nodes, processing time at each node, final reception time, and corresponding link path information. The archive is stored for no less than 180 days and supports quick retrieval by device, time, and activity type.

9. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The data feature list includes the expected total length of various types of data, checksums of each segment / frame, overall SHA-256 hash value, and core field integrity rules. The field rules require that the event data must include four items: "Event ID, Event Name, Score, and Timestamp". If any one of them is missing, it will be judged as a format error. The retransmission process can be executed a maximum of 3 times. Data that fails verification after exceeding the number of attempts is marked as invalid and archived. The archived information is associated with the original data source device and the activity area.

10. The method for digital operation data transmission processing of cultural and sports activities according to claim 1, characterized in that: The core indicator system also includes end-to-end jitter, retransmission rate, and decryption success rate. The qualified thresholds are set as follows: live stream stuttering rate ≤1%, real-time data response latency ≤100ms, data integrity verification pass rate ≥99.5%, link packet loss rate ≤1%, and port occupancy rate not exceeding 80% for 5 consecutive seconds. The situations that trigger optimization feedback include real-time data response latency exceeding 100ms for 3 consecutive times, data integrity verification pass rate below 99.5%, port occupancy rate exceeding 80% for 5 consecutive seconds, link packet loss rate exceeding 1%, and live stream stuttering rate exceeding 1%.

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