Sports event management system

Abstract

A sports event control system includes: a location determination device for receiving location signals from sensors on athletes or staff to determine their location information; a data processor, signal-coupled to the location determination device, for receiving and processing the location information; and an AI push notification module, signal-coupled to the data processor, for receiving location information from the data processor. The AI ​​push notification module determines the status of athletes and staff on the field based on the location information. The AI ​​push notification module includes: a rule engine for calculating the location information according to a preset condition to determine whether the location information triggers an abnormal event; and a machine learning model, trained and judged using the location information and geographic location data to identify events. The AI ​​push notification module generates a push notification based on the judgment of abnormal events and / or the result of event identification.

Claims

1. A sports event control system, comprising: a location determination device for receiving location signals from sensors on a player or staff member to determine the location information of the player or staff member; a data processor, signal-coupled to the location determination device, for receiving and processing the location information; and an AI push module, signal-coupled to the data processor, for receiving the location information, wherein the AI ​​push module determines the status of the player or staff member on the field based on the location information, and the AI ​​push module includes: A rule engine is used to judge these location information according to a preset condition to determine whether these location information triggers an abnormal event; And a machine learning model is used to train and judge the event by combining the location information with the geographic location data. The AI ​​push module generates a push notification based on the judgment of the abnormal event and / or the result of the event identification.

2. The sports event control system as described in claim 1, wherein the machine learning model is trained using the Naive Bayes algorithm or the Scikit-learn framework.

3. The sports event control system as described in claim 1, wherein the sensors include a positioning module and an identity information storage unit, the positioning module including an RFID positioning device or a GPS positioning device; wherein, When these sensors transmit these positioning signals, they simultaneously send the identity information corresponding to the athlete or staff member in the identity information storage unit to the location determination device.

4. The sports event control system as described in claim 3, wherein the position determination device includes multiple RFID sensing zones arranged sequentially along the course of the field to record the timestamp information of the athlete passing through each of the RFID sensing zones, and to determine whether the athlete has passed through all the detection points in the prescribed order or whether there is an abnormal situation of failing to pass within the time limit based on the timestamp information.

5. The sports event control system as described in claim 3, wherein the GPS positioning device is used to continuously acquire the real-time coordinate information of the athlete and compare it with a preset race route to determine whether the athlete has deviated from the preset race route. When deviation is detected, the push notification is activated to issue a warning.

6. The sports event control system as described in claim 1, wherein the rule engine determines whether the triggering condition of the abnormal event is met based on the player's movement status, time interval, and regional location.

7. The sports event control system as described in claim 1, wherein the machine learning model is trained for classification and determines abnormal events and identified events based on the movement path and behavior pattern of the athlete or staff member.

8. The sports event control system as described in claim 1, wherein the staff includes medical support personnel or security personnel, and the location determination device receives location signals from sensors equipped on medical support vehicles or venue equipment to determine the location information of the medical support personnel, the security personnel, the medical support vehicles, or the venue equipment.

9. The sports event control system as described in claim 1, wherein the AI ​​push module has a priority judgment principle, which determines that the abnormal event judged by the rule engine is given priority judgment, or determines that the identification event generated by the machine learning model is given priority judgment.

10. The sports event control system as described in claim 7, wherein the AI ​​push module has a multi-level decision strategy, which includes: when the rule engine determines that it is an abnormal event, the machine learning model simultaneously determines the identified event based on the same location information, wherein when the identified event is determined to be normal, the warning level of the abnormal event is reduced; or, when the identified event is determined to be abnormal, the warning level of the abnormal event is increased.

11. The sports event control system as described in claim 1 further includes a display that displays the location information of the athlete or staff member in real time on a map interface.

12. The sports event control system as described in claim 11 further includes a participant management module, which displays on the display the number of participants who have completed the race, a list of participants who have not completed the race, or their contact information.

13. The sports event control system as described in claim 12, wherein the participant management module continuously monitors the location information of the participant who has not finished the race to determine whether the participant who has not finished the race has entered or approached a dangerous area or an abnormal area, wherein when the participant management module detects that the participant who has not finished the race has entered or approached the dangerous area or the abnormal area, the AI ​​push module is activated to issue a safety warning.

14. The sports event control system as described in claim 1 further includes at least one image capturing device disposed at a specific location within the venue, the image capturing device being used to capture image information of the athlete or the staff member, wherein... The data processor signal is coupled to the image capturing device and compared with the identity information transmitted by the sensor worn by the athlete or staff member to verify the athlete's or staff member's true identity.

15. The sports event control system as described in claim 1 further includes at least one image capturing device, which is sequentially set along the course of the competition. The machine learning model performs cross-analysis based on the image information of the athlete captured by the image capturing device and the positioning information returned by the position determination device to determine whether the athlete is in an abnormally still state, has fallen, lost consciousness, or is not moving in accordance with the competition rules, and triggers the AI ​​push module to push in real time.

Images