CN115222295B - Sports event risk prevention and control method and system based on risk level model - Google Patents
Sports event risk prevention and control method and system based on risk level model Download PDFInfo
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Abstract
The invention discloses a sports event risk prevention and control method based on a risk level model, which comprises the following steps: s1, acquiring event data in a sports event process through distributed monitoring stations; s2, the event data are transmitted to an event supervision center through the secure encryption of the transfer station; s3, the event supervision center monitors and evaluates risks of the event according to the event data; and S4, distributing and dispatching event personnel to manage risks according to the monitoring and evaluating results. The invention also discloses a sports event risk prevention and control system based on the risk level model. According to the invention, through the real-time encryption and high-speed transmission of multiple pieces of event data in the event process, the safety and accuracy of the event data can be effectively improved; the event data is identified and processed by the event supervision center, and the big data and the historical data of the expert knowledge base are combined, so that the risk possibly existing in the event process is comprehensively prevented and controlled.
Description
Technical Field
The invention relates to the technical field of risk prevention and control, in particular to a sports event risk prevention and control method and system based on a risk level model.
Background
The sports event risk assessment aims at the characteristics of high frequency of sports event damage, complexity of sports projects, difficulty in measuring sports risks and the like, and comprehensively analyzes risk factors of event sponsors, contractors and execution units in aspects of risk prevention, personnel training, emergency plan preparation and the like, and provides reasonable and necessary suggestions. The necessary risk assessment can effectively avoid potential economic loss and responsibility risks of the sponsor and the executive unit, can also ensure the personal and property safety of various participators, and has important roles in smooth and safe holding of sports events.
Therefore, in the face of the continuous expansion of the sports event scale, complex and variable links of each organization of the event and a large number of uncertain factors exist, the event risk assessment and management become a link which is necessary to be carried out in the process of holding the sports event, so as to control possible risk factors, and avoid great threat and loss to the life safety of athletes and the whole event to the greatest extent.
For the problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a sports event risk prevention and control method and a sports event risk prevention and control system based on a risk level model, so as to overcome the technical problems in the prior art.
For this purpose, the invention adopts the following specific technical scheme:
according to one aspect of the present invention, there is provided a method for controlling risk of a sporting event based on a risk level model, the method comprising the steps of:
s1, acquiring event data in a sports event process through distributed monitoring stations;
s2, the event data are transmitted to an event supervision center through the secure encryption of the transfer station;
s3, the event supervision center monitors and evaluates risks of the event according to the event data;
and S4, distributing and dispatching event personnel to manage risks according to the monitoring and evaluating results.
Further, the event data is transmitted to an event supervision center through the secure encryption of the transfer station, and the method comprises the following steps:
s21, automatically generating system parameters by the transfer station to initialize equipment;
s22, the distributed monitoring station monitors the obtained event data in real time to generate an encrypted file, and the transit station receives the encrypted file and decrypts the encrypted file;
s23, the transfer station sends the decrypted event data to an event supervision center.
Further, the distributed monitoring station generates an encrypted file from event data obtained by real-time monitoring, and the transfer station receives the encrypted file and decrypts the encrypted file, and the method comprises the following steps:
s221, the transfer station automatically generates a private key matched with the distributed monitoring station according to a private value provided by the distributed monitoring station, and manually inputs the private key to the distributed monitoring station;
s222, encrypting and signing event data obtained by real-time monitoring by using the private key by the distributed monitoring station to obtain an encrypted file;
s223, the distributed monitoring station transmits the encrypted file to a transfer station through wireless transmission;
and S224, the transfer site verifies the signature of the encrypted file, decrypts the encrypted file after the verification is successful to obtain corresponding event data, and finally uploads the event data to an event supervision center.
Further, the event supervision center monitors and evaluates risk of the event according to the event data, and the method comprises the following steps:
s31, the event supervision center acquires a large number of distributed monitoring to obtain event data, and performs classification and identification processing according to the data types to obtain different event risk factors;
s32, constructing a risk level model according to the event risk factors and calculating a real-time risk level in the event process;
s33, partitioning according to the number of the levels of the risk levels, and dividing the risk types in different real-time risk levels into corresponding partitions.
Further, constructing a risk level model according to the event risk factors and calculating a real-time risk level in the event process, including the following steps:
s321, determining a risk type existing in a sports event, and evaluating the occurrence probability of the risk type;
s322, constructing a risk quantity evaluation matrix according to the occurrence probability of the risk types existing in the sports event;
s323, constructing a sports event risk level model according to the risk quantity evaluation matrix, and calculating real-time risk levels in the sports event process in real time by using the risk level model.
Further, the determining the risk type existing in the sports event, and evaluating the risk type occurrence probability, includes the following steps:
s3211, determining the risk type existing in the sports event according to the big data and the expert knowledge base;
s3212, selecting event risk factors related to the risk types as evaluation indexes;
s3213, setting a risk threshold for the evaluation index, and taking the ratio of the evaluation index to the risk threshold as the risk probability of the evaluation index;
s3214, selecting the highest value of the risk probability corresponding to the evaluation index in each risk type as the occurrence probability of the risk type.
Further, the risk assessment matrix has the following expression:
in the method, in the process of the invention,
representing a risk assessment matrix;
Further, the expression of the risk level model is:
in the method, in the process of the invention,
representing a risk level;
e represents the standard deviation of the sports event risk type assessment.
According to another aspect of the present invention, a system for controlling risk of a sporting event based on a risk level model, the system comprising: the system comprises an event supervision center, a transfer station, a distributed monitoring station, a distributed medical aid station and a mobile management and control station;
the event supervision center is used as a data collection and processing center for remotely supervising the event;
the transfer station is used for collecting and safely encrypting transmission of distributed event data;
the distributed monitoring station is used for monitoring the sports course in real time to acquire the event data and transmitting the encrypted file;
the distributed medical rescue site is used for forming a full-coverage medical first-aid guarantee for the event;
the mobile management and control station is used for timely preventing and controlling burst risks.
Further, the distributed monitoring station comprises a temperature and humidity sensor, a light intensity detection sensor, a monitoring camera, a wireless transmission module, a positioning sensor, a file encryption module and an identity authentication module;
the transfer stations are uniformly distributed at intervals on one side of the competition runway;
and a Zigbee wireless network protocol is adopted between the wireless transmission module and the transit station.
The beneficial effects of the invention are as follows: through the real-time encryption and high-speed transmission of multiple items of event data in the process of the sports event, the safety and accuracy of the sports event data can be effectively improved, and dangerous behaviors such as malicious tampering and malicious cheating of illegal personnel are avoided; the method has the advantages that through the identification processing of the event data by the event supervision center and the combination of the big data and the historical data of the expert knowledge base, the risk possibly existing in the event process is comprehensively controlled, screened, identified and predicted, a perfect risk level assessment model is formed, a risk prevention and control system capable of comprehensively preventing, reminding in real time and timely helping is further constructed, smooth running of the sports event and life health of athletes are guaranteed, and a safe and stable sports event environment is constructed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for controlling risk of a sporting event based on a risk level model according to an embodiment of the present invention;
fig. 2 is a block diagram of a risk prevention and control system for a sporting event based on a risk level model according to an embodiment of the present invention.
In the figure:
1. an event supervision center; 2. a transit station; 3. a distributed monitoring site; 4. a distributed medical assistance station; 5. a flow-through administration station.
Detailed Description
According to the embodiment of the invention, a sports event risk prevention and control method based on a risk level model is provided.
The invention will be further described with reference to the accompanying drawings and detailed description, as shown in fig. 1, a method for controlling risk of a sporting event based on a risk level model according to an embodiment of the invention, the method comprising the following steps:
s1, acquiring event data in a sports event process through distributed monitoring stations;
the sports event has different risk types and influence factors in different stages, and the risk factors to be considered are relatively more and complex in the sports event starting stage and the sports event applying decision stage, so that the probability of occurrence of the risk in the stage is maximum in the whole sports event risk period. However, since everything is at the extreme of assessment, the actual capital investment is less and the population is affected less, so the risk of occurrence at this stage is less harmful. As the progress of the sporting event progresses, the detailed planning stage and implementation stage are gradually entered, and although the risk of the sporting event is effectively controlled under the effective evaluation in the early stage, the probability of risk occurrence gradually decreases. However, the investment related to the holding of the sports event is gradually increased, and the risk is generated in the actual running process of the sports event to bring great influence to the holding of the sports event. Therefore, in the event holding and implementing stage, the player and masses participate in the stage, and the risk existing in the stage can generate the greatest social influence, so that the event environment needs to be comprehensively controlled and monitored in the event process, and the safe and stable running of the event is ensured.
In the running stage of a sports event, for example, when long-distance events such as marathons and road bicycles are used, because of long lines, multiple participators, changeable and complex environments and the like, a large number of influencing factors which can influence the normal running of the event exist, a large number of distributed unmanned monitoring devices are required to be arranged to comprehensively monitor the event, and a plurality of event data which influence the event are acquired. For example, the outdoor temperature and humidity, illumination intensity, road traffic condition, personnel aggregation degree, security personnel configuration and attendance rate, athlete real-time state, medical rescue site distribution, medical resources and other large amount of event data in the event environment and process are monitored and obtained, so that comprehensive risk prevention and assessment of the event are ensured.
S2, the event data is transmitted to an event supervision center through the secure encryption of the transfer station, and the method comprises the following steps:
s21, automatically generating system parameters by the transfer station to initialize equipment;
s22, the distributed monitoring station generates an encrypted file from event data obtained through real-time monitoring, and the transfer station receives the encrypted file and decrypts the encrypted file, and the method comprises the following steps of:
s221, the transfer station automatically generates a private key matched with the distributed monitoring station according to a private value provided by the distributed monitoring station, and manually inputs the private key to the distributed monitoring station;
s222, encrypting and signing event data obtained by real-time monitoring by using the private key by the distributed monitoring station to obtain an encrypted file;
s223, the distributed monitoring station transmits the encrypted file to a transfer station through wireless transmission;
and S224, the transfer site verifies the signature of the encrypted file, decrypts the encrypted file after the verification is successful to obtain corresponding event data, and finally uploads the event data to an event supervision center.
The process is used for generating the private key of the distributed monitoring station, and is only required to be executed once when the distributed monitoring station joins the ZigBee network.
S23, the transfer station sends the decrypted event data to an event supervision center.
S3, the event supervision center monitors and evaluates risks of the event according to the event data, and the method comprises the following steps:
s31, the event supervision center acquires a large number of distributed monitoring to obtain event data, and performs classification and identification processing according to the data types to obtain different event risk factors;
s32, constructing a risk level model according to the event risk factors and calculating a real-time risk level in the event process, wherein the method comprises the following steps of:
s321, determining a risk type existing in a sports event, and evaluating the occurrence probability of the risk type, wherein the method comprises the following steps of:
s3211, determining the risk type existing in the sports event according to the big data and the expert knowledge base;
s3212, selecting event risk factors related to the risk types as evaluation indexes;
s3213, setting a risk threshold for the evaluation index, and taking the ratio of the evaluation index to the risk threshold as the risk probability of the evaluation index;
s3214, selecting the highest value of the risk probability corresponding to the evaluation index in each risk type as the occurrence probability of the risk type.
According to the ratio obtained by comparing the evaluation index with the risk threshold value as the risk probability, the level of the risk type can be determined according to the ratio, and the level of the risk type can be particularly divided into five levels, namely, a first level, a second level, a third level, a fourth level and five levels, wherein the value ranges of the levels are respectively one level <60%, the second level ranges are 60% -70%, the third level ranges are 70% -80%, the fourth level ranges are 80% -90%, and the fifth level ranges are >90%; and therefore, the risk type output process is provided with a hierarchy identification for calculating the subsequent risk level.
S322, constructing a risk quantity evaluation matrix according to the occurrence probability of the risk types existing in the sports event;
the expression of the risk assessment matrix is as follows:
in the method, in the process of the invention,
representing a risk assessment matrix;
S323, constructing a sports event risk level model according to the risk quantity evaluation matrix, and calculating real-time risk levels in the sports event process in real time by using the risk level model.
According to the five levels of risk types, the risk levels are correspondingly divided into five levels, namely slight, general, dangerous and high-endangered ultra-high risk.
The expression of the risk level model is as follows:
in the method, in the process of the invention,
representing a risk level;
e represents the standard deviation of the sports event risk type assessment.
S33, partitioning according to the number of the levels of the risk levels, and dividing the risk types in different real-time risk levels into corresponding partitions.
The risk types of the sports event are divided according to the five risk levels, namely, the risk types of different real-time risk levels are located in different areas in the display interface, so that the manager can conveniently recognize and observe. Aiming at the risk types of the ultra-high risk and the high risk, the system adopts a real-time positioning monitoring mode to capture the event scene in the area or the areas, and issues early warning reminding and unfolding risk management and control work in time to prevent accidents.
And S4, distributing and dispatching event personnel to manage risks according to the monitoring and evaluating results.
As described above, aiming at the risk types at high risk and ultra-high risk, the event supervision center issues a command in time, the staff near the distributed monitoring station is used for carrying out early warning reminding on the event field preferentially, and carrying out management and control in a proper mode, so that the fidget state of athletes and field staff is reduced, and the area monitoring picture is called by the event supervision center 1 to monitor and record according to the determined position, if the demand exists, the nearby distributed medical rescue station 4 is called in time to carry out rescue, and the athletes are prepared to be rescued in real time, thereby effectively avoiding accidents.
According to another aspect of the present invention, as shown in fig. 2, there is also provided a system for controlling risk of a sporting event based on a risk level model, the system comprising: the system comprises an event supervision center 1, a transfer station 2, a distributed monitoring station 3, a distributed medical rescue station 4 and a mobile management and control station 5;
the event supervision center 1 is used as a data collection and processing center for remotely supervising an event;
the transfer station 2 is used for collecting and safely encrypting transmission of distributed event data;
the distributed monitoring station 3 is used for monitoring the sports course in real time to acquire the event data and sending an encrypted file;
the distributed medical rescue station 4 is used for forming a full-coverage medical first-aid guarantee for the event;
the flow type management and control station 5 is used for timely preventing and controlling burst risks.
The distributed monitoring station 3 comprises a temperature and humidity sensor, a light intensity detection sensor, a monitoring camera, a wireless transmission module, a positioning sensor, a file encryption module and an identity authentication module;
the transfer stations 2 are uniformly distributed at intervals on one side of the track;
and a Zigbee wireless network protocol is adopted between the wireless transmission module and the transit station.
In summary, by means of the technical scheme, through the real-time encryption and high-speed transmission of multiple event data in the process of the sports event, the safety and accuracy of the sports event data can be effectively improved, and risk behaviors such as malicious tampering and malicious cheating of illegal personnel are avoided; the method has the advantages that through the identification processing of the event data by the event supervision center and the combination of the big data and the historical data of the expert knowledge base, the risk possibly existing in the event process is comprehensively controlled, screened, identified and predicted, a perfect risk level assessment model is formed, a risk prevention and control system capable of comprehensively preventing, reminding in real time and timely helping is further constructed, smooth running of the sports event and life health of athletes are guaranteed, and a safe and stable sports event environment is constructed.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (7)
1. A method for controlling the risk of a sporting event based on a risk level model, which is characterized by comprising the following steps:
s1, acquiring event data in a sports event process through distributed monitoring stations;
s2, the event data are transmitted to an event supervision center through the secure encryption of the transfer station;
s3, the event supervision center monitors and evaluates risks of the event according to the event data;
s4, distributing and dispatching event personnel to manage risks according to the monitoring and evaluating results;
the event supervision center monitors and evaluates the risk of the event according to the event data, and comprises the following steps:
s31, the event supervision center acquires a large number of distributed monitoring to obtain event data, and performs classification and identification processing according to the data types to obtain different event risk factors;
s32, constructing a risk level model according to the event risk factors and calculating a real-time risk level in the event process;
s33, partitioning according to the number of the levels of the risk levels, and dividing the risk types in different real-time risk levels into corresponding partitions;
the method comprises the following steps of constructing a risk level model according to the event risk factors and calculating the real-time risk level in the event process, wherein the method comprises the following steps:
s321, determining a risk type existing in a sports event, and evaluating the occurrence probability of the risk type;
s322, constructing a risk quantity evaluation matrix according to the occurrence probability of the risk types existing in the sports event;
s323, constructing a sports event risk level model according to the risk quantity evaluation matrix, and calculating real-time risk levels in the sports event process in real time by using the risk level model;
the expression of the risk assessment matrix is as follows:
in the method, in the process of the invention,
representing a risk assessment matrix;
2. The method for controlling the risk of a sporting event based on a risk level model according to claim 1, wherein the event data is transmitted to an event supervision center through a transfer site in a secure encryption manner, comprising the following steps:
s21, automatically generating system parameters by the transfer station to initialize equipment;
s22, the distributed monitoring station monitors the obtained event data in real time to generate an encrypted file, and the transit station receives the encrypted file and decrypts the encrypted file;
s23, the transfer station sends the decrypted event data to an event supervision center.
3. The method for controlling the risk of a sporting event based on a risk level model according to claim 2, wherein the distributed monitoring station generates an encrypted file from event data obtained by real-time monitoring, and the transit station receives the encrypted file and decrypts the encrypted file, comprising the following steps:
s221, the transfer station automatically generates a private key matched with the distributed monitoring station according to a private value provided by the distributed monitoring station, and manually inputs the private key to the distributed monitoring station;
s222, encrypting and signing event data obtained by real-time monitoring by using the private key by the distributed monitoring station to obtain an encrypted file;
s223, the distributed monitoring station transmits the encrypted file to a transfer station through wireless transmission;
and S224, the transfer site verifies the signature of the encrypted file, decrypts the encrypted file after the verification is successful to obtain corresponding event data, and finally uploads the event data to an event supervision center.
4. A method for risk prevention and control of a sporting event based on a risk level model according to claim 1, wherein said determining a risk type present in a sporting event, evaluating the probability of occurrence of said risk type, comprises the steps of:
s3211, determining the risk type existing in the sports event according to the big data and the expert knowledge base;
s3212, selecting event risk factors related to the risk types as evaluation indexes;
s3213, setting a risk threshold for the evaluation index, and taking the ratio of the evaluation index to the risk threshold as the risk probability of the evaluation index;
s3214, selecting the highest value of the risk probability corresponding to the evaluation index in each risk type as the occurrence probability of the risk type.
5. The method for controlling risk of a sporting event based on a risk level model according to claim 4, wherein the expression of the risk level model is:
in the method, in the process of the invention,
representing a risk level;
6. A risk prevention and control system for a sporting event based on a risk level model, for implementing a method for preventing and controlling a sporting event based on a risk level model as claimed in any one of claims 1 to 5, characterized in that the system comprises: the system comprises an event supervision center, a transfer station, a distributed monitoring station, a distributed medical aid station and a mobile management and control station;
the event supervision center is used as a data collection and processing center for remotely supervising the event;
the transfer station is used for collecting and safely encrypting transmission of distributed event data;
the distributed monitoring station is used for monitoring the sports course in real time to acquire the event data and transmitting the encrypted file;
the distributed medical rescue site is used for forming a full-coverage medical first-aid guarantee for the event;
the mobile management and control station is used for timely preventing and controlling burst risks.
7. The system for preventing and controlling the risk of a sporting event based on a risk level model according to claim 6, wherein the distributed monitoring stations comprise a temperature and humidity sensor, a light intensity detection sensor, a monitoring camera, a wireless transmission module, a positioning sensor, a file encryption module and an identity authentication module;
the transfer stations are uniformly distributed at intervals on one side of the track;
and a Zigbee wireless network protocol is adopted between the wireless transmission module and the transit station.
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