CN-121981546-A - Risk image-based major activity security protection risk management system and method

CN121981546ACN 121981546 ACN121981546 ACN 121981546ACN-121981546-A

Abstract

The invention relates to the technical field of major activity safety guarantee, in particular to a major activity safety guarantee risk management system and method based on a risk portrait, comprising a data base layer, an analysis and judgment layer, a decision action layer and a verification optimization layer, the data base stone layer builds a dynamic hidden danger library following a four-dimensional principle, gathers multi-source data through a standardized model, quantifies risks based on a weighted RPN formula, and is matched with a data injection and dynamic updating mechanism. The analysis and judgment layer generates a risk portrait report containing a structured list through scene modeling and multidimensional aggregation analysis. The decision action layer converts the portrait into tactical actions such as special plan, resource preset and special exercise. And the verification optimization layer realizes risk monitoring regulation and control and knowledge precipitation through closed-loop management. The invention realizes the transition from passive response to data-driven active defense, improves the risk identification and prejudgment precision, optimizes the resource allocation and emergency efficiency, drives the self-learning evolution of the system and reduces the recurrence rate of the same type of risk.

Inventors

DAI HONGBIN
HUANG YINPING
Mao Xuncheng
ZHANG YUAN
ZHANG LIYING

Assignees

宁波广播电视集团

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (9)

1. The major activity safety guarantee risk management system based on the risk portrait is characterized by comprising a data base layer, an analysis and judgment layer, a decision action layer and a verification optimization layer; the data base layer takes a dynamic hidden danger library as a carrier, and the data base layer gathers and dynamically updates global risk information through a standardized model to provide a quantitative evaluation basis; the analysis and judgment layer is used for deep mining of the aggregated data based on the security scene to generate a major activity security risk portrait report; The decision action layer converts the insight into tactical actions to refine intervention risk; and the verification optimization layer is used for verifying the action effect and feeding back knowledge to drive the system to be upgraded.
2. The major activity safety guarantee risk management system based on the risk portraits according to claim 1, wherein the construction of the dynamic hidden danger library follows a multidimensional structuring principle, a risk quantifiable principle, an element associatable principle and a state dynamic principle; The standardized data model of the dynamic hidden danger library comprises a core identification field set, a risk quantization field set, an association and classification field set, a state and treatment field set and a time dimension field set, and is specifically as follows: the core identification field group comprises a hidden danger unique identifier, a hidden danger title and a detailed description; The risk quantification field group comprises a risk priority coefficient, namely a weighted RPN, occurrence probability P, influence severity S and detection difficulty D, wherein the calculation formula of the weighted RPN is that the weighted RPN is weighted , , ; The association and classification field group comprises association assets, hidden danger types, responsibility departments, operators and root cause classification; the set of status and disposition fields includes a current status, existing control measures, and a long-acting solution; The set of time dimension fields includes a discovery date, a last update date, and a planned closed-loop date.
3. The critical activity safety guarantee risk management system based on the risk portraits according to claim 2, wherein the occurrence probability, the influence severity and the detection difficulty all adopt 1-5 grade scoring criteria, and the specific scoring rules are as follows: the occurrence probability is that the level 1 is very unlikely to be ten years met, the level 2 is low in probability to be met for years met, the level 3 is likely to be happened for one year, the level 4 is likely to be happened for several times in one year, and the level 5 is very likely to be happened for each month; The influence severity is that the level 1 is no influence or slight blocking, the user does not feel, the level 2 is inferior broadcasting, the user can feel, the level 3 is inferior broadcasting event comprising single channel static frame, mosaic and silence, the user can feel, the level 4 is short-time interruption of single channel or multi-channel signals, and the level 5 is long-time interruption of single channel or multi-channel signals; the detection difficulty comprises the steps of 1 level of real-time clear alarm, automatic discovery, 2 level of real-time alarm, easy discovery, 3 level of monitoring interface to be checked, 4 level of system log to be analyzed, difficult discovery, 5 level of hidden fault without direct sign and extremely difficult discovery.
4. The major activity safety guarantee risk management system based on the risk portraits according to claim 3, wherein the dynamic hidden danger library is further provided with a data injection and update mechanism, specifically: multi-source data injection, namely integrating past accident reports, hidden danger investigation standing accounts for structured carding and batch importing, and taking output conclusion of daily inspection, special audit and three-level root cause analysis after the past as new hidden danger items or current item state updating sources; and (3) updating a mechanism triggering condition, namely reevaluating all the active hidden dangers at regular intervals, and immediately triggering updating when the corrective measures are partially or completely implemented, the related assets are changed or enter a specific period, the same type of accidents or the events are caused, and adjusting the occurrence probability, influencing the severity and detecting the difficulty score to ensure that the RPN reflects the current threat level of the hidden dangers in real time.
5. The major activity security risk management system based on the risk portrayal of claim 4, wherein the method for generating the major activity security risk portrayal report by the analysis and judgment layer is as follows: (1) The major activity safety broadcasting security task scene modeling comprises the steps of defining a security channel set, a security time window, a technical system range and a security level, and forming a core filter; (2) Multidimensional risk aggregation analysis comprises macroscopic situation assessment, system/link dimension analysis, hidden danger type dimension analysis and responsibility department dimension analysis, wherein: Counting the total number of hidden dangers, the number of high-risk hidden dangers and the ratio of the hidden dangers in the guarantee range, calculating a total risk value and transversely comparing the total risk value with a level activity history baseline; The system/link dimension analysis comprises the steps of mapping hidden dangers to a broadcasting system or a signal link according to a hidden danger library associated asset field, calculating the total risk value of internal hidden dangers and the number of high risk hidden dangers by taking the system/link as a unit, and sequencing; The hidden danger type dimension analysis is to group and count the number of hidden dangers and the ratio of risk values according to the standardized hidden danger type field; And the dimension analysis of the responsibility department is to aggregate and calculate the total risk value of hidden danger under the name, the number of hidden danger to be processed and the index of the correction overdue rate through the field of the responsibility department.
6. The major activity safety guarantee risk management system based on the risk portraits according to claim 5, wherein the major activity safety guarantee risk portraits report output by the analysis and judgment layer contains structured risk manifests, each of which includes at least hidden danger IDs and titles, associated assets and liability departments, weighted RPN values and risk levels, risk profiles, current control measures, and primary emergency action items.
7. The critical activity security risk management system based on risk portraits of claim 6, wherein the decision action layer adopts an emergency transformation mechanism, and specifically comprises: Establishing a forced linkage mechanism for a high risk system and ten highest risk hidden dangers of risk portrait identification, making or checking a special plan, defining early warning conditions, sequencing treatment steps, executing posts and a standby scheme, and constructing a multipath emergency contact system; the resource presetting, namely deploying key spare parts to high-risk points according to the risk hot points; Special drilling, namely, carrying out special drilling aiming at the list of ten highest risk hidden dangers before major activities.
8. The critical activity security risk management system based on risk portraits of claim 7, wherein the verification optimization layer adopts a closed-loop management mechanism, and specifically comprises: The risk monitoring and dynamic regulation are that real-time operation data are compared with early warning conditions in a risk portrait during the guarantee period, a plan is started and corresponding hidden dangers are associated when early warning is triggered, and resource deployment and response strategies are dynamically regulated; And (3) comparing the actual occurrence event, early warning and pre-event risk portraits after the security is finished, evaluating the prediction accuracy, the effectiveness of the plan and the rationality of resource deployment, and feeding back the analysis conclusion and the verified solution to an accident hidden danger library and a broadcasting control knowledge base.
9. A method for risk management of major event security based on risk portraits, characterized in that it uses the system according to any one of claims 1-8, comprising the steps of: s1, constructing a dynamic hidden danger library, and recording and dynamically updating multi-source hidden danger data according to a standardized data model; S2, establishing a major activity security broadcasting guarantee task scene model, and screening and aggregating related risk data; s3, generating a major activity security risk portrait report through multidimensional risk aggregation analysis; S4, formulating a special plan, presetting resources and developing special exercises based on the risk portrait; s5, monitoring risks in real time during the guarantee period and dynamically regulating and controlling response strategies; and S6, carrying out multi-disc analysis after the guarantee is finished, and feeding back knowledge results to the hidden danger library to complete closed-loop optimization.

Description

Risk image-based major activity security protection risk management system and method Technical Field The invention relates to the technical field of major activity safety guarantee, in particular to a major activity safety guarantee risk management system and method based on a risk portrait. Background The important activity guarantee of the broadcast television is a core link of national public safety and media transmission order, and is directly related to the accuracy, timeliness and safety of information transmission. With the rapid development of the broadcasting technology to clouding, IP and intellectualization, the complexity of a broadcasting system of a broadcasting television is greatly improved, and the security is faced with unprecedented challenges. The traditional major activity safety guarantee risk management mode mainly depends on manual experience judgment and a post-event response mechanism, has obvious passivity and limitation, namely, firstly, risk identification depends on manual investigation, hidden dangers in a complex system are difficult to comprehensively cover, and the investigation efficiency is low, secondly, risk assessment lacks a standardized and quantized analysis method, priority and potential influence of hidden dangers cannot be accurately judged, thirdly, emergency plan formulation is insufficient in pertinence, a general template is mostly, scene risk characteristics of specific activities are difficult to match, fourthly, resource deployment lacks data support, the problem of resource waste or insufficient resources of key points exists, and thirdly, an effective closed-loop optimization mechanism is lacking, experience in a guarantee process is difficult to convert into systematic knowledge, and the like risks repeatedly occur. Therefore, it is needed to construct an active defense type risk management system to realize transformation from experience driving to data driving and from passive response to active prejudgment, so as to improve the accuracy, efficiency and reliability of important activity safety guarantee. Disclosure of Invention The technical problem to be solved by the invention is to provide a risk management system and a risk management method for major activity safety guarantee based on a risk portrait, which are used for solving the passivity and limitation of the traditional risk management mode and improving the predictability and pertinence of the major activity safety guarantee by constructing a dynamic hidden danger library, generating a multi-dimensional risk portrait and realizing the accurate conversion of emergency actions. In order to solve the technical problems, the technical scheme provided by the invention is that the major activity safety guarantee risk management system based on the risk portrait comprises a data base layer, an analysis and judgment layer, a decision action layer and a verification optimization layer; the data base layer takes a dynamic hidden danger library as a carrier, and the data base layer gathers and dynamically updates global risk information through a standardized model to provide a quantitative evaluation basis; the analysis and judgment layer is used for deep mining of the aggregated data based on the security scene to generate a major activity security risk portrait report; The decision action layer converts the insight into tactical actions to refine intervention risk; and the verification optimization layer is used for verifying the action effect and feeding back knowledge to drive the system to be upgraded. Further, the construction of the dynamic hidden danger library follows a multidimensional structuring principle, a risk quantifiable principle, an element associatable principle and a state dynamic principle; The standardized data model of the dynamic hidden danger library comprises a core identification field set, a risk quantization field set, an association and classification field set, a state and treatment field set and a time dimension field set, and is specifically as follows: the core identification field group comprises a hidden danger unique identifier, a hidden danger title and a detailed description; The risk quantification field group comprises a risk priority coefficient, namely a weighted RPN, occurrence probability P, influence severity S and detection difficulty D, wherein the calculation formula of the weighted RPN is that the weighted RPN is weighted ,,; The association and classification field group comprises association assets, hidden danger types, responsibility departments, operators and root cause classification; the set of status and disposition fields includes a current status, existing control measures, and a long-acting solution; The set of time dimension fields includes a discovery date, a last update date, and a planned closed-loop date. Further, the occurrence probability, the influence severity and the detection difficulty all adopt grade 1-5 scoring criteria, and