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CN-121985113-A - Studio video recording and playing system

CN121985113ACN 121985113 ACN121985113 ACN 121985113ACN-121985113-A

Abstract

The invention discloses a studio video recording and playing system, belongs to the technical field of computer application, and aims to solve the problems of business rule-data splitting, actual device dependence on previewing and abnormal post-processing; the method comprises the steps of generating a rule-data association group by a rule data system construction module through three-dimensional rule classification, three-layer data attribute marking and a three-source input association mechanism, enabling a twin preview scheme optimization module to realize full-flow undisturbed preview and optimal adaptation configuration screening by means of a digital twin environment and a business rule-data association group reference library, enabling a recording and broadcasting real-time dynamic optimization module to complete risk pre-warning and accurate adjustment through sequential-multi-dimensional index double-matrix monitoring, pre-judging window and abnormal characteristic quantification matching, and achieving requirement-rule-resource dynamic matching.

Inventors

  • Luo Lieyi
  • LOU JIAXIN
  • LU XUEJIE
  • FANG HUI
  • YING CHENLIANG
  • WANG YINXIANG
  • SHEN DAN
  • YANG CHEN

Assignees

  • 浙江新蓝网络传媒有限公司

Dates

Publication Date
20260505
Application Date
20260407

Claims (9)

  1. 1. A studio video recording and reproducing system, comprising: The rule data system construction module is used for acquiring the business rule of the record-playback scene, constructing a business rule index library, collecting the total data of the record-playback link, constructing a basic data view of the record-playback link, constructing a rule attribute mapping library, constructing a three-source input channel and a decision association mechanism, and generating a rule-data association group matched with the decision requirement; The twin-replay scheme optimizing module is used for constructing a digital twin environment for replaying the live physical system, determining the service rule requirement of each time node according to a time sequence execution base line, analyzing rule-data association groups, judging whether the requirement suitability is qualified or not, and re-matching the attribute of the adapted three-level link if the requirement suitability is not qualified; the recording and broadcasting real-time dynamic optimization module is used for constructing a time sequence-multi-dimensional index theoretical standard matrix, synchronously constructing a time sequence-multi-dimensional index actual monitoring matrix, analyzing an execution adaptation pre-judgment value of a to-be-executed time sequence node business rule, judging whether an execution abnormal risk exists, matching a solution if the execution abnormal risk exists, and adjusting adaptation configuration until the whole-flow recording and broadcasting monitoring optimization is completed.
  2. 2. The studio video recording and reproducing system according to claim 1, wherein the construction process of the business rule index library, the recording and reproducing link basic data view and the rule attribute mapping library is as follows: Acquiring a service rule corresponding to a current recording and playing scene, classifying and sorting according to scene allocation types, preset rule priorities and three-dimensional degrees of constraint objects, constructing a service rule index library and allocating unique index identifiers for each type of service rule; Collecting the total basic data of each component unit of the record-playback link in real time, marking the attribute of the corresponding three-level link for each item of data, and classifying according to the attribute and the collection time stamp to form a structured record-playback link basic data view; and constructing a rule attribute mapping library, and presetting and storing three-level link attribution attributes corresponding to each type of service rule in the service rule index library.
  3. 3. The studio video recording and playing system according to claim 2, wherein the specific process of constructing a three-source input channel and decision association mechanism and generating a rule-data association group matching with decision requirements is as follows: taking a business rule index library, a rule attribute mapping library and a record-playback link basic data view as three-source input of an intelligent decision end, and synchronously constructing a rule calling channel, a mapping matching channel and a data calling channel; The rule calling channel calls a target rule through the decision requirement-index identification matching logic, the mapping matching channel extracts the three-level link attribution attribute corresponding to the target rule, the data calling channel reads standardized data corresponding to the attribute, a decision association triggering mechanism is constructed, the target business rule and corresponding data are bound according to the business decision requirement, the business rule is matched, the mapping data attribute is extracted, the target data link is called, and the rule-data association group is generated.
  4. 4. The studio video recording and playing system according to claim 3, wherein the specific process of constructing a digital twin environment for live physical system replay, determining the business rule requirement of each time node according to the time sequence execution base line, and analyzing the rule-data association group is as follows: Based on a digital twin technology, constructing a digital mirror image corresponding to a studio live broadcast physical system 1:1 to form a digital twin environment for previewing; The method comprises the steps of acquiring a time sequence execution base line, converting execution actions according to time sequence to serve as business rule execution requirements with time stamps, definitely corresponding to time sequence nodes, starting a previewing environment, inputting the requirements to a built-in decision association triggering mechanism in sequence, calling a business rule index library, a rule attribute mapping library and a record-playback link basic data view in a digital mirror image, and generating a rule-data association group with time sequence identification through rule matching, attribute extracting and data link retrieving.
  5. 5. The studio video recording and reproducing system according to claim 4, wherein the specific process of determining whether the suitability of the business rule requirement is acceptable is: Constructing a service rule-data association group reference library, and storing a standard three-level link attribution attribute, a standard resource parameter safety interval and an alternative three-level link attribution attribute set corresponding to each type of service rule in the library; After the rule-data association group with time sequence identification is generated, a reference library is searched by a target business rule, corresponding standard attributes and a safety interval are matched, three-level link attribution attributes and target resource data in the association group are respectively compared with the standard attributes and the safety interval, if the attributes are completely consistent and the data are in the safety interval, suitability is judged to be qualified, the digital mirror image corresponding resource data and a time stamp are updated and the next time sequence node requirement is processed, and otherwise, suitability is judged to be unqualified.
  6. 6. The studio video recording and reproducing system according to claim 5, wherein the adapted three-level link attribute is re-matched if the quality is not acceptable, When the suitability is unqualified, a service rule-data association group reference library is searched according to the current target service rule, a corresponding alternative three-level link attribution attribute set is called, all the alternative three-level link attribution attributes are sequentially read, corresponding resource data in the digital mirror image are obtained, and the standard three-level link attribution attribute and the standard resource parameter safety interval corresponding to the service rule in the service rule-data association group reference library are matched; combining the parameter value of the core performance parameter with a preset weight coefficient, calculating the matching degree of each alternative three-level link attribution attribute and the standard three-level link attribution attribute, screening the alternative three-level link attribution attribute with the largest matching degree, and comparing the corresponding resource data with the standard resource parameter safety interval in the service rule-data association group reference library; if the data is in the safety interval, replacing the three-level link attribution attribute in the original rule-data association group with the alternative three-level link attribution attribute, regenerating the rule-data association group with the time sequence identifier, updating the digital mirror image resource data and the time stamp, and continuing to process the next time sequence node requirement; if the data is not in the safety interval, the attribute of the candidate three-level link is removed, and then screening and comparison are repeated until the attribute of the candidate three-level link with qualified suitability is found and updating is completed.
  7. 7. The studio video recording and playing system according to claim 6, wherein the specific process of integrating rule-data association groups of all time sequence nodes and outputting the optimized live broadcast execution scheme is as follows: After the matching comparison and processing operation is completed on the business rule execution requirements corresponding to all time sequence nodes in the time sequence execution base line, traversing the final rule-data association group corresponding to all time sequence nodes, extracting the target business rule of each node, the finally determined three-level link attribution attribute and the updated resource data according to the time sequence node sequence, integrating the extracted information into structured data, and outputting the structured data as an optimized live broadcast execution scheme.
  8. 8. The studio video recording and reproducing system according to claim 7, wherein the specific process of analyzing the execution adaptation pre-judgment value of the timing node service rule to be executed to judge whether there is an abnormal risk of execution is as follows: Based on the optimized live broadcast execution scheme, extracting multi-dimensional core index theoretical values of equipment and transmission links corresponding to three-level link attribution attributes associated with each time sequence node, and constructing a time sequence-multi-dimensional index theoretical standard matrix; Collecting multi-dimensional core index operation data of executed nodes in real time during formal recording and broadcasting, and synchronously constructing a time sequence-multi-dimensional index actual monitoring matrix; presetting a preamble pre-judging window for the next time sequence node business rule, extracting the actual and theoretical data consistency coefficient, index deviation mean value and relative fluctuation amplitude of each type of core index in the window, calculating core index adaptation score by combining the preset weight coefficient after normalization processing, and summarizing the scores and combining the corresponding preset weight coefficient to obtain an execution adaptation pre-judging value; and if the pre-judging value is not lower than the preset fit grid threshold, judging that the normal executing condition is met, executing and updating the related matrix and the data according to the scheme, and if the pre-judging value is lower than the preset fit grid threshold, judging that the abnormal executing risk exists.
  9. 9. The studio video recording and playing system according to claim 8, wherein the specific process of matching the solution if abnormal, adjusting the adaptation configuration until the complete whole process recording and playing monitoring optimization is: When judging that the abnormal risk exists, extracting multi-dimensional core comparison parameters in a pre-judging window corresponding to the business rule, sorting and constructing an abnormal feature set, and analyzing three-dimensional dimension reduction by a main component to obtain a low-dimensional abnormal feature vector; The operator simulates verification in the digital mirror image based on the target solution, adjusts the three-level link attribution attribute or resource allocation parameter corresponding to the service rule, regenerates the rule-data association group and corrects the related core index theoretical value of the time sequence-multi-dimensional index theoretical standard matrix, and repeats the pre-judging process until the pre-judging value reaches the standard, and then executes the next time sequence node service rule; and (3) circulating the flow until all time sequence node business rules are executed, and completing the whole-flow recording and broadcasting monitoring optimization.

Description

Studio video recording and playing system Technical Field The invention belongs to the technical field of computer application, and particularly relates to a studio video recording and playing system. Background Along with diversification of recorded broadcasting scenes of a studio, the requirements on the accuracy and the running stability of the stream are increasingly improved, but the prior art has short plates, namely, the rule and the data management are disordered and are not related, a non-disturbance prediction and quantization adaptation mechanism is lacked, and a single monitoring, non-advance prediction and accurate exception handling scheme is adopted, so the following technical problems are needed to be solved: In studio recording and broadcasting, business rules, equipment configuration and real-time data are split, and the requirements, rules and resources are difficult to dynamically match; The debugging before recording and broadcasting depends on actual equipment, the whole process of undisturbed simulation cannot be performed to check risks in advance, quantitative screening basis is lacking when the configuration adaptation is unqualified, the adaptation adjustment depends on blind trial and error, the efficiency is low, and hidden hazards are easy to leave; the recording and broadcasting monitoring index is single, the capability of prejudging the risk is lacking, the abnormality is mostly found afterwards, no specific abnormality processing matching mechanism exists, the existing flow is easily interfered by adjustment, and secondary risk is caused, so that a studio video recording and broadcasting system is provided. Disclosure of Invention The invention aims to provide a studio video recording and playing system which solves the problems in the background technology. In order to achieve the above purpose, the invention provides a studio video recording and playing system, comprising: The rule data system construction module is used for acquiring the business rule of the record-playback scene, constructing a business rule index library, collecting the total data of the record-playback link, constructing a basic data view of the record-playback link, constructing a rule attribute mapping library, constructing a three-source input channel and a decision association mechanism, and generating a rule-data association group matched with the decision requirement; The twin-replay scheme optimizing module is used for constructing a digital twin environment for replaying the live physical system, determining the service rule requirement of each time node according to a time sequence execution base line, analyzing rule-data association groups, judging whether the requirement suitability is qualified or not, and re-matching the attribute of the adapted three-level link if the requirement suitability is not qualified; the recording and broadcasting real-time dynamic optimization module is used for constructing a time sequence-multi-dimensional index theoretical standard matrix, synchronously constructing a time sequence-multi-dimensional index actual monitoring matrix, analyzing an execution adaptation pre-judgment value of a to-be-executed time sequence node business rule, judging whether an execution abnormal risk exists, matching a solution if the execution abnormal risk exists, and adjusting adaptation configuration until the whole-flow recording and broadcasting monitoring optimization is completed. Preferably, the construction process of the business rule index library, the record-playback link basic data view and the rule attribute mapping library comprises the following steps: acquiring a service rule corresponding to a current recording and playing scene, classifying and sorting according to three dimensions of scene allocation types, preset rule priorities and constraint objects, constructing a service rule index library, and allocating unique index identifiers for each type of service rule; Collecting the total basic data of each component unit of the record-playback link in real time, marking the attribute of the corresponding three-level link for each item of data, and classifying according to the attribute and the collection time stamp to form a structured record-playback link basic data view; and constructing a rule attribute mapping library, and presetting and storing three-level link attribution attributes corresponding to each type of service rule in the service rule index library. Preferably, the specific process of constructing a three-source input channel and a decision association mechanism and generating a rule-data association group matched with a decision requirement is as follows: taking a business rule index library, a rule attribute mapping library and a record-playback link basic data view as three-source input of an intelligent decision end, and synchronously constructing a rule calling channel, a mapping matching channel and a data calling channel; The rule calling