A method and system for monitoring doping control based on big data

Abstract

The present invention discloses a method and system for monitoring doping inspection based on big data. The method comprises: obtaining identification information of a target athlete, doping inspection item information, and identification information of a doping inspector within a monitoring area of ​​a target monitoring point; starting a target timer for doping inspection item information of the target athlete; when the timing duration of the target timer is greater than or equal to a preset duration, obtaining the first historical number of violations of the target monitoring point during doping inspection and the second historical number of violations of the doping inspection item information. The present invention solves the technical problem of low accuracy in doping inspection of athletes.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a method and system for monitoring doping tests based on big data. Background Art

[0002] Doping control refers to the entire process in which doping control staff collect samples (such as urine and blood samples) from athletes in accordance with legal procedures to detect whether they have used prohibited substances and methods. Doping control is an important means of anti-doping work, which can effectively discover and curb doping violations and has a great deterrent effect on the use of doping.

[0003] my country has always been firmly opposed to the use of doping and has adopted a "zero tolerance" attitude towards the use of doping. Carrying out doping inspections is the most powerful means to maintain fairness and justice in competitions and protect the physical and mental health of athletes. Therefore, a method and system for monitoring doping inspections based on big data is proposed to improve the quality of doping inspections and solve the technical problem of low accuracy in doping inspections for athletes. Summary of the invention

[0004] The embodiment of the present invention provides a method and system for monitoring doping control based on big data to solve the technical problem of inaccuracy in doping control for athletes.

[0005] According to one aspect of an embodiment of the present invention, a method for monitoring doping control based on big data is provided. Wherein, the method may include: obtaining identification information of a target athlete within the monitoring area of ​​a target monitoring point, information on doping control items, and identification information of a doping control personnel; starting a target timer for doping control item information of a target athlete; when the timing duration of the target timer is greater than or equal to a preset duration, obtaining the first historical number of violations and the second historical number of violations of the doping control item information of the target monitoring point when performing a doping control; based on the identification information of the target athlete, the timing duration, the first historical number of violations, the second historical number of violations, and the identification information of the doping control personnel, determining the first initial value of the doping control item information of the target athlete; when the first initial value is greater than or equal to a preset threshold, performing a doping control on the target athlete.

[0006] Optionally, based on the identification information of the target athlete, the first number of historical violations, the second number of historical violations, and the identification information of the doping control personnel, determining the first initial value of the doping control item information of the target athlete includes: based on the first formula The timing duration and the first number of historical violations are used to determine the first trust value of the target monitoring point, where R 1is the first trust value, T is the timing duration, n is the first number of historical violations, and Z is the first constant; based on the second formula The timing duration and the second number of historical violations are used to determine the second trust value of the doping control project information, where R 2 is the second trust value, T is the timing duration, l is the second number of historical violations, and d is the second constant; based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel, the first initial value is determined.

[0007] Optionally, based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel, a first initial value is determined, including: based on the identification information of the target athlete, a third trust value of the target athlete is determined; based on the identification information of the doping control personnel, a fourth trust value of the doping control personnel is determined; based on the first trust value, the second trust value, the third trust value, and the fourth trust value, the first initial value is determined.

[0008] Optionally, determining the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value includes: based on the third formula The first trust value, the second trust value, the third trust value, and the fourth trust value determine the first initial value, where R is the first initial value, R 1 is the first trust value, R 2 is the second trust value, R 3 is the third trust value, R 4 It is the fourth trust value.

[0009] Optionally, when the first initial value is greater than a preset threshold, after performing another doping test on the target athlete, the method further includes: sending a prompt message to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality.

[0010] According to one aspect of an embodiment of the present invention, a system for monitoring doping inspection based on big data is provided. The system includes: a first acquisition unit, for acquiring identification information of a target athlete within the monitoring area of ​​a target monitoring point, information on doping inspection items, and identification information of a doping inspector; a start unit, for starting a target timer for doping inspection item information of a target athlete; a second acquisition unit, for acquiring the first historical number of violations and the second historical number of violations of the doping inspection item information of the target monitoring point when the timing duration of the target timer is greater than or equal to the preset duration; a determination unit, for determining the first initial value of the target athlete's doping inspection item information based on the identification information of the target athlete, the timing duration, the first historical number of violations, the second historical number of violations, and the identification information of the doping inspector; a processing unit, for performing a doping inspection on the target athlete when the first initial value is greater than or equal to the preset threshold.

[0011] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute a method for monitoring doping control based on big data according to an embodiment of the present invention.

[0012] According to another aspect of an embodiment of the present invention, a processor is further provided. The processor is used to run a program, wherein when the program is run, a method for monitoring doping control based on big data according to an embodiment of the present invention is executed.

[0013] In an embodiment of the present invention, identification information of a target athlete, doping control item information, and identification information of a doping control personnel within a monitoring area of ​​a target monitoring point are obtained; a target timer for doping control item information of the target athlete is started; when the timing duration of the target timer is greater than or equal to a preset duration, a first historical number of violations and a second historical number of violations of the doping control item information of the target monitoring point when performing a doping control are obtained; based on the identification information of the target athlete, the timing duration, the first historical number of violations, the second historical number of violations, and the identification information of the doping control personnel, a first initial value of the doping control item information of the target athlete is determined; when the first initial value is greater than or equal to a preset threshold, a doping control is performed on the target athlete, thereby solving the technical problem of low accuracy of doping controls on athletes and achieving the technical effect of improving the accuracy of doping controls on athletes. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0015] Figure 1 is a flow chart of a method for monitoring doping control based on big data according to an embodiment of the present invention;

[0016] Figure 2 is a schematic diagram of a system for monitoring doping control based on big data according to an embodiment of the present invention;

[0017] Figure 3 is a schematic diagram of another system for monitoring doping control based on big data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] Example 1

[0021] According to an embodiment of the present invention, a method for monitoring doping control based on big data is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system comprising at least one set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0022] Figure 1is a flow chart of a method for monitoring doping control based on big data according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0023] Step S101, obtaining identification information of a target athlete, doping control item information, and identification information of a doping control officer within a monitoring area of ​​a target monitoring point.

[0024] In the technical solution provided in the above step S101 of the present invention, identification information of the target athlete is generated based on the input information of the target athlete within the monitoring area of ​​the target monitoring point, and identification information of the doping inspector is generated based on the information input by the doping inspector, wherein the input information of the target athlete includes the identity information of the target athlete, the event in which the target athlete participates, the event in which the target athlete previously participated, the awards won by the target athlete, and the country of the target athlete; the input information of the doping inspector includes the identity information input by the doping inspector, the information of the inspected athlete, and the doping inspection item information is the doping inspection item information of a specific item.

[0025] Step S102, starting a target timer for doping control item information of a target athlete.

[0026] In the technical solution provided in the above step S102 of the present invention, a target timer for performing doping control item information on a target athlete is started.

[0027] Step S103, when the timing duration of the target timer is greater than or equal to the preset duration, the first historical violation number of the target monitoring point during the doping control and the second historical violation number of the doping control item information are obtained.

[0028] In the technical solution provided in the above step S103 of the present invention, if the timing duration of the target timer is greater than or equal to the preset duration, the first historical number of violations of the target monitoring point during the doping control and the second historical number of violations of the doping control item are obtained according to statistics, wherein the preset duration is the duration of the doping control when the athlete does not take doping drugs according to statistics, and the preset duration can be 1 minute.

[0029] Step S104, based on the identification information of the target athlete, the timing duration, the first historical violation number, the second historical violation number, and the identification information of the doping control personnel, determine the first initial value of the doping control item information of the target athlete.

[0030] In the technical solution provided in the above step S104 of the present invention, the first initial value of the target athlete's doping control item information is determined based on the target athlete's identification information, the timing duration, the first historical violation number, the second historical violation number, and the identification information of the doping control personnel.

[0031] Step S105: When the first initial value is greater than or equal to the preset threshold, a doping test is performed on the target athlete.

[0032] In the technical solution provided in the above step S104 of the present invention, if the first initial value is greater than or equal to the preset threshold, a doping test is performed on the target athlete, wherein the preset threshold may be a specific value, such as 3.

[0033] In the above steps S101 to S105 of the present application, the identification information of the target athlete, the doping control item information, and the identification information of the doping control personnel within the monitoring area of ​​the target monitoring point are obtained; the target timer for the doping control item information of the target athlete is started; when the timing duration of the target timer is greater than or equal to the preset duration, the first historical number of violations and the second historical number of violations of the doping control item information of the target monitoring point when the doping control is performed are obtained; based on the identification information of the target athlete, the timing duration, the first historical number of violations, the second historical number of violations, and the identification information of the doping control personnel, a first initial value of the doping control item information of the target athlete is determined; when the first initial value is greater than or equal to the preset threshold value, a doping control is performed on the target athlete, thereby solving the technical problem of low accuracy of doping controls on athletes and achieving the technical effect of improving the accuracy of doping controls on athletes.

[0034] The above method of this embodiment is further introduced below.

[0035] As an optional embodiment, step S101, based on the identification information of the target athlete, the first historical violation number, the second historical violation number, and the identification information of the doping control personnel, determines the first initial value of the doping control item information of the target athlete, including: based on the first formula The timing duration and the first number of historical violations are used to determine the first trust value of the target monitoring point, where R 1 is the first trust value, T is the timing duration, n is the first number of historical violations, and Z is the first constant; based on the second formula The timing duration and the second number of historical violations are used to determine the second trust value of the doping control project information, where R 2is the second trust value, T is the timing duration, l is the second number of historical violations, and d is the second constant; based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel, the first initial value shown is determined.

[0036] In this embodiment, the big data platform uses the first formula Get the first trust value. For example, when the timing time T is 1.5 minutes, the first historical violation number n is 2 times, and the first constant Z is 0.5, the first trust value R 1 is 0.4, according to the second formula Get the second trust value. For example, when the timing time T is 1.5 minutes, the second historical violation number l is 4 times, and the second constant d is 0.5, the second trust value R 2 The first initial value is 0.29, and the first initial value is determined according to the identification information of the target athlete, the first trust value, the second trust value, and the identification information of the doping control personnel.

[0037] As an optional implementation method, based on the identification information of the target athlete, a third trust value of the target athlete is determined; based on the identification information of the doping control personnel, a fourth trust value of the doping control personnel is determined; based on the first trust value, the second trust value, the third trust value, and the fourth trust value, the first initial value is determined.

[0038] In this embodiment, the third trust value is determined based on the quotient between the number of times the target athlete has taken doping and the number of historical competitions of the target athlete; the fourth trust value is determined based on the quotient between the number of times the athlete has been found to have taken doping by the doping control personnel and the total number of times the doping control personnel have checked the athlete. The first initial value is determined based on the first trust value, the second trust value, the third trust value, and the fourth trust value.

[0039] As an optional embodiment, based on the first trust value, the second trust value, the third trust value, and the fourth trust value, determining the first initial value includes: based on the third formula The first trust value, the second trust value, the third trust value, and the fourth trust value determine the first initial value, where R is the first initial value, R 1 is the first trust value, R 2 is the second trust value, R 3 is the third trust value, R 4 It is the fourth trust value.

[0040] In this embodiment, the first trust value, the second trust value, the third trust value, and the fourth trust value are added and divided as the first initial value. For example, the first trust value R 1 is 0.4, the second trust value R 2The third trust value R is 0.29. 3 is 0.42, the fourth trust value R 4 is 0.32, and the first initial value is 0.69.

[0041] As an optional implementation manner, in step S105, when the first initial value is greater than a preset threshold, after the target athlete is subjected to another doping test, the method further includes: sending a prompt message to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality.

[0042] In this embodiment, the big data platform sends a prompt message to the terminal, and the prompt message is used to prompt that the target athlete may have an abnormality.

[0043] In the embodiment of the present invention, the first formula Timing duration, the first number of historical violations, determine the first trust value of the target monitoring point; the second formula The second trust value of the doping control item information is determined based on the timing duration, the second number of historical violations, and the third trust value of the target athlete according to the identification information of the target athlete; the fourth trust value of the doping control personnel is determined according to the identification information of the doping control personnel; and the third trust value of the doping control personnel is determined according to the third formula. The first trust value, the second trust value, the third trust value, and the fourth trust value are used to determine the first initial value. When the first initial value is greater than or equal to the preset threshold, a prompt message is sent to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality, thereby solving the technical problem of low accuracy in doping tests for athletes and achieving the technical effect of improving the accuracy of doping tests for athletes.

[0044] Example 2

[0045] According to an embodiment of the present invention, a system for monitoring doping control based on big data is provided. It should be noted that the system for monitoring doping control based on big data can be used to execute the method for monitoring doping control based on big data in Example 1.

[0046] Figure 2 is a schematic diagram of a system for monitoring doping control based on big data according to an embodiment of the present invention. Figure 2 As shown, a system 200 for monitoring doping control based on big data may include: a first acquisition unit 201, a start unit 202, a second acquisition unit 203, a determination unit 204 and a processing unit 205.

[0047] The first acquisition unit 201 is used to acquire identification information of a target athlete, doping control item information, and identification information of a doping control officer within a monitoring area of ​​a target monitoring point.

[0048] The starting unit 202 is used to start the target timer for the doping control item information of the target athlete.

[0049] The second acquisition unit 203 is used to acquire the first historical violation number of the target monitoring point when performing doping control and the second historical violation number of the doping control item information when the timing duration of the target timer is greater than or equal to the preset duration.

[0050] The determination unit 204 is used to determine a first initial value of the target athlete's doping control item information based on the identification information of the target athlete, the timing duration, the first historical violation number, the second historical violation number, and the identification information of the doping control personnel.

[0051] The processing unit 205 is configured to perform a doping test on the target athlete when the first initial value is greater than or equal to a preset threshold.

[0052] Optionally, the determining unit 204 may further include: a first determining module for determining based on the first formula The timing duration and the first number of historical violations are used to determine the first trust value of the target monitoring point, where R 1 is the first trust value, T is the timing duration, n is the first number of historical violations, and Z is the first constant; the second determination module is used to determine the first trust value based on the second formula The timing duration and the second number of historical violations are used to determine the second trust value of the doping control project information, where R 2 is the second trust value, T is the timing duration, l is the second number of historical violations, and d is the first constant; a third determination module is used to determine the first initial value based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel.

[0053] Optionally, the third determination module may also include: a first determination submodule, used to determine the third trust value of the target athlete based on the identification information of the target athlete; a second determination submodule, used to determine the fourth trust value of the doping control personnel based on the identification information of the doping control personnel; a third determination submodule, used to determine the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value.

[0054] Optionally, the third determining submodule is further configured to determine based on a third formula The first trust value, the second trust value, the third trust value, and the fourth trust value determine the first initial value, where R is the first initial value, R 1 is the first trust value, R 2 is the second trust value, R 3 is the third trust value, R 4 It is the fourth trust value.

[0055] In this embodiment, a first acquisition unit is used to acquire the identification information of the target athlete within the monitoring area of ​​the target monitoring point, the doping control item information, and the identification information of the doping control personnel; a start unit is used to start a target timer for the doping control item information of the target athlete; a second acquisition unit is used to acquire the first historical number of violations and the second historical number of violations of the doping control item information of the target monitoring point when the timing duration of the target timer is greater than or equal to the preset duration; a determination unit is used to determine the first initial value of the doping control item information of the target athlete based on the identification information of the target athlete, the timing duration, the first historical number of violations, the second historical number of violations, and the identification information of the doping control personnel; a processing unit is used to perform a doping control on the target athlete when the first initial value is greater than or equal to the preset threshold value, thereby solving the technical problem of low accuracy of doping controls on athletes and achieving the technical effect of improving the accuracy of doping controls on athletes.

[0056] Example 3

[0057] According to an embodiment of the present invention, another system for monitoring doping control based on big data is also provided. It should be noted that the system for monitoring doping control based on big data can be used to execute the method for monitoring doping control based on big data in Example 1.

[0058] Figure 3 FIG. 1 is a schematic diagram of another system for monitoring doping control based on big data according to an embodiment of the present invention. Figure 3 As shown, a system for monitoring doping control based on big data may include: a data acquisition end, a big data platform and a terminal.

[0059] The data acquisition end is connected to the big data platform to transmit the identification information of the target athlete, the doping control item information, and the identification information of the doping control personnel to the big data platform, wherein the data acquisition end includes obtaining the identification information of the target athlete, the doping control item information, and the identification information of the doping control personnel.

[0060] The big data platform is used to send a start timer command to a target timer, and when the timing duration of the target timer is greater than or equal to a preset duration, obtain the first historical violation number of the target monitoring point during doping control and the second historical violation number of the doping control item information; based on the identification information of the target athlete, the timing duration, the first historical violation number, the second historical violation number, and the identification information of the doping control personnel, determine the first initial value of the target athlete for the doping control item information; when the first initial value is greater than or equal to a preset threshold, send a prompt message to the terminal.

[0061] The big data platform is connected to the terminal, and when the first initial value is greater than or equal to a preset threshold, a prompt message is sent to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality.

[0062] In this embodiment, the identification information of the target athlete, the doping control item information, and the identification information of the doping control personnel are transmitted to the big data platform through the connection between the data acquisition terminal and the big data platform. The big data platform is connected to the terminal. When the first initial value is greater than or equal to the preset threshold, a prompt message is sent to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality, thereby solving the technical problem of low accuracy of doping checks on athletes and achieving the technical effect of improving the accuracy of doping checks on athletes.

[0063] Example 3

[0064] According to an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored program, wherein the program executes a method for monitoring doping control based on big data in Example 1.

[0065] Example 4

[0066] According to an embodiment of the present invention, a processor is also provided, which is used to run a program, wherein when the program is running, a method for monitoring doping control based on big data in Example 1 is executed.

[0067] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0068] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0069] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0070] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0071] In addition, each functional unit in each embodiment of the present invention may be integrated into a first processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0072] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0073] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for monitoring doping control based on big data, characterized in that: include: Obtaining identification information of a target athlete within the monitoring area of ​​a target monitoring point, information on doping control items, and identification information of a doping control officer, wherein the identification information of the target athlete includes the number of times the target athlete has taken doping and the number of historical competitions, and the identification information of the doping control officer includes the number of times the doping control officer has checked that the athlete has taken doping and the total number of times the athlete has been checked; generating identification information of the target athlete according to input information of the target athlete within the monitoring area of ​​the target monitoring point, and generating identification information of the doping control personnel according to information input by the doping control personnel, wherein the input information of the target athlete includes the identity information of the target athlete, the event in which the target athlete participates, the event in which the target athlete previously participated, the awards won by the target athlete, and the country of the target athlete; the input information of the doping control personnel includes the identity information input by the doping control personnel, the information of the athlete who has been checked, and the doping control project information is the doping control project information of a specific project; Start a target timer for doping control item information of the target athlete; When the timing duration of the target timer is greater than or equal to the preset duration, obtaining a first historical number of violations of the target monitoring point during doping control and a second historical number of violations of the doping control item information; Determine a first initial value of the doping control item information of the target athlete based on the identification information of the target athlete, the timing duration, the first number of historical violations, the second number of historical violations, and the identification information of the doping control officer; When the first initial value is greater than or equal to a preset threshold, performing a doping test on the target athlete; The determining, based on the identification information of the target athlete, the first number of historical violations, the second number of historical violations, and the identification information of the doping control personnel, a first initial value of the doping control item information of the target athlete includes: Based on the first formula , the timing duration, the first number of historical violations, determine the first trust value of the target monitoring point, wherein, is the first trust value, T is the timing duration, is the first historical violation number, and Z is a first constant; Based on the second formula , the timing duration, the second number of historical violations, determine the second trust value of the doping control item information, wherein, is the second trust value, T is the timing duration, is the second historical violation number, is the second constant; Determining the first initial value based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control officer; The determining the first initial value based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel includes: Based on the identification information of the target athlete, determining a third trust value of the target athlete, wherein the third trust value is determined according to the quotient between the number of times the target athlete has taken doping and the number of historical competitions of the target athlete; Determining a fourth trust value of the doping control officer based on the identification information of the doping control officer, wherein the fourth trust value is determined based on the quotient between the number of times the doping control officer has checked that the athlete has taken doping and the total number of times the doping control officer has checked the athlete; Determining the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value; The determining the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value includes: Based on the third formula , the first trust value, the second trust value, the third trust value, the fourth trust value, determine the first initial value, where R is the first initial value, R 1 is the first trust value, R 2 is the second trust value, R 3 is the third trust value, R 4 is the fourth trust value; After once again performing a doping test on the target athlete when the first initial value is greater than a preset threshold, the method further includes: Sending a prompt message to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality.

2. A system for monitoring doping control based on big data, characterized in that: include: A first acquisition unit is used to acquire identification information of a target athlete within a monitoring area of ​​a target monitoring point, information on doping control items, and identification information of a doping control officer, wherein the identification information of the target athlete includes the number of times the target athlete has taken doping and the number of historical competitions, and the identification information of the doping control officer includes the number of times the athlete has taken doping and the total number of times the athlete has been checked by the doping control officer; generating identification information of the target athlete according to input information of the target athlete within the monitoring area of ​​the target monitoring point, and generating identification information of the doping control personnel according to information input by the doping control personnel, wherein the input information of the target athlete includes the identity information of the target athlete, the event in which the target athlete participates, the event in which the target athlete previously participated, the awards won by the target athlete, and the country of the target athlete; the input information of the doping control personnel includes the identity information input by the doping control personnel, the information of the athlete who has been checked, and the doping control project information is the doping control project information of a specific project; A starting unit, used to start a target timer for doping control item information of the target athlete; A second acquisition unit is used to acquire a first historical number of violations of the target monitoring point when performing a doping control and a second historical number of violations of the doping control item information when the timing duration of the target timer is greater than or equal to the preset duration; a determining unit, configured to determine a first initial value of the doping control item information of the target athlete based on the identification information of the target athlete, the timing duration, the first number of historical violations, the second number of historical violations, and the identification information of the doping control personnel; The determining, based on the identification information of the target athlete, the first number of historical violations, the second number of historical violations, and the identification information of the doping control personnel, a first initial value of the doping control item information of the target athlete includes: Based on the first formula , the timing duration, the first number of historical violations, determine the first trust value of the target monitoring point, wherein, is the first trust value, T is the timing duration, is the first historical violation number, and Z is a first constant; Based on the second formula , the timing duration, the second number of historical violations, determine the second trust value of the doping control item information, wherein, is the second trust value, T is the timing duration, is the second historical violation number, is the second constant; Determining the first initial value based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control officer; The determining the first initial value based on the first trust value, the second trust value, the identification information of the target athlete, and the identification information of the doping control personnel includes: Based on the identification information of the target athlete, determining a third trust value of the target athlete, wherein the third trust value is determined according to the quotient between the number of times the target athlete has taken doping and the number of historical competitions of the target athlete; Determining a fourth trust value of the doping control officer based on the identification information of the doping control officer, wherein the fourth trust value is determined based on the quotient between the number of times the doping control officer has checked that the athlete has taken doping and the total number of times the doping control officer has checked the athlete; Determining the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value; The determining the first initial value based on the first trust value, the second trust value, the third trust value, and the fourth trust value includes: Based on the third formula , the first trust value, the second trust value, the third trust value, the fourth trust value, determine the first initial value, where R is the first initial value, R 1 is the first trust value, R 2 is the second trust value, R 3 is the third trust value, R 4 is the fourth trust value; a processing unit, configured to conduct a doping test on the target athlete when the first initial value is greater than or equal to a preset threshold; After once again performing a doping test on the target athlete when the first initial value is greater than a preset threshold, the method further includes: Sending a prompt message to the terminal, wherein the prompt message is used to prompt that the target athlete may have an abnormality.

3. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method described in claim 1 when running.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method described in claim 1.

Images