Intelligent playground management system

Abstract

The invention discloses an intelligent playground management system, and the system comprises a data collection module which is used for detecting environment data and reservation data in a playground; the data processing module comprises a data storage component and a prediction component, the data storage component is used for storing the environment data, and the prediction component is used for predicting and obtaining the predicted reservation amount; a site distribution module, the data processing module is connected with the site distribution module, and the site distribution module matches the personnel with the corresponding scene templates according to the reservation data and the matching conditions; the reservation data is acquired by using the data acquisition module, the reservation data is stored by using the data processing module, and an original manual recording mode is replaced, so that the accuracy of the data is improved, and the possibility of errors in the recording process is reduced; the environment data in the playground is acquired in real time through the data acquisition module, original manual inspection is replaced, and the labor cost is greatly saved.

Description

Technical Field

[0001] The present invention relates to the technical field of sports equipment, and in particular to an intelligent sports field management system. Background Art

[0002] With the improvement of the quality of life, more and more people are beginning to pay attention to daily exercise and sports. Sports fields are the choice of many people. The current way to enter a sports field is to manually register on a paper or computer form, which is prone to duplicate reservations and information omissions, resulting in inaccurate data. In addition, various data on the sports field usually need to be obtained through manual inspection and measurement, which requires a large amount of human resources. The existing sports field management system mostly relies on manual scheduling and cannot respond to environmental changes (such as sudden changes in temperature and humidity) or sudden reservation conflicts in real time. It also lacks the ability to adapt to intelligent scenarios based on user behavior. Summary of the Invention

[0003] In order to overcome the above shortcomings, the purpose of the present invention is to provide an intelligent sports field management system, which obtains reservation data by utilizing a data acquisition module and stores the reservation data using a data processing module, replacing the original manual recording method, thereby improving the accuracy of the data and reducing the possibility of errors in the recording process; by utilizing the data acquisition module to obtain environmental data in the sports field in real time, replacing the original manual inspection, it greatly saves labor costs.

[0004] In order to achieve the above objectives, the technical solution adopted by the present invention is: an intelligent sports field management system, comprising: Data acquisition module, the data acquisition module is used to detect environmental data and reservation data in the sports field; The data processing module is connected to the data acquisition module. The data processing module includes a data storage component and a prediction component. The data storage component is used to store environmental data, and the prediction component is used to predict and obtain the predicted reservation volume; The venue allocation module, the data processing module is connected to the venue allocation module, the venue allocation module stores scene templates and matching conditions, and the venue allocation module matches personnel with corresponding scene templates based on the reservation data and matching conditions.

[0005] In this technical solution, the data collected by the data acquisition module is conducive to pushing information to people entering the stadium and providing reference data for the stadium's own adjustment. The data processing module is used to store the data collected by the data acquisition module. The predicted reservation volume is conducive to the stadium management personnel to make targeted preparations. The venue allocation module is used to push different scene templates to personnel, thereby facilitating personnel selection; by using the data acquisition module to obtain reservation data and using the data processing module to store the reservation data, the original manual recording method is replaced, thereby improving the accuracy of the data and reducing the possibility of errors in the recording process; by using the data acquisition module to obtain environmental data in the stadium in real time, replacing the original manual inspection, greatly saving labor costs.

[0006] In some embodiments, the environmental data includes temperature data, humidity data, PM2.5 data, and light intensity data.

[0007] In this technical solution, temperature data is used to indicate the temperature in the sports field, humidity data is used to indicate the humidity in the sports field, PM2.5 data is used to indicate the PM2.5 concentration in the sports field, and light intensity data is used to indicate the light intensity in the sports field, thereby making adjustments in temperature, humidity, PM2.5 and light intensity.

[0008] In some embodiments, the data acquisition module includes a temperature and humidity sensor, a PM2.5 detector, and a light intensity sensor. The temperature and humidity sensor is used to detect temperature data and humidity data, the PM2.5 detector is used to detect PM2.5 data, and the light intensity sensor is used to detect light intensity data.

[0009] In this technical solution, the data acquisition module collects temperature data, humidity data, PM2.5 data and light intensity data in the sports field by using temperature and humidity sensors, PM2.5 detectors and light intensity sensors.

[0010] In some embodiments, the prediction component includes a prediction formula, which is used to obtain the predicted reservation volume in the next 72 hours. The prediction formula is: y(t)=g(t)+s(t)+h(t)+ε; Among them, g(t) is the trend term, s(t) is the periodic term, h(t) is the influence term, and ε is the noise term.

[0011] In this technical solution, by using a prediction formula to obtain the predicted reservation volume for the next 72 hours, it is helpful for the staff in the stadium to prepare in advance.

[0012] In some embodiments, the data processing module further includes a conflict resolution component, the conflict resolution component stores priority rules, and the data processing module performs venue push according to the priority rules.

[0013] In this technical solution, the conflict resolution component is used to push corresponding venues to people based on their priority levels, preventing conflicts and improving people's experience.

[0014] In some implementations, the scenario template includes a competition mode, the matching condition includes a competition matching condition, and the competition mode matches the competition matching condition.

[0015] In this technical solution, a competition mode is set up to be pushed to groups in the field, facilitating group activities and improving the applicability of the sports field.

[0016] In some implementations, the scenario template further includes a teaching mode, the matching condition further includes a teaching matching condition, and the teaching mode matches the teaching matching condition.

[0017] In this technical solution, the teaching mode is used to push training personnel on the field to facilitate the development of teaching, thereby improving the applicability of the sports field.

[0018] In some implementations, the scenario template further includes an energy-saving mode, the matching condition further includes an energy-saving matching condition, and the energy-saving mode matches the energy-saving matching condition.

[0019] In this technical solution, the energy-saving mode is used for self-regulation of the sports field, reducing energy consumption, thereby saving energy and further improving the applicability of the sports field.

[0020] In some embodiments, the intelligent sports field management system further includes an interaction module, the venue allocation module is connected to the interaction module, and the interaction module is used to display the scene template.

[0021] In this technical solution, the interactive module is conducive to improving the human-computer interaction capabilities and displaying the pushed information for easy reading by people on the scene.

[0022] The beneficial effects of the present invention are that, by utilizing the data acquisition module to obtain reservation data and adopting the data processing module to store the reservation data, the original manual recording method is replaced, thereby improving the accuracy of the data and reducing the possibility of errors in the recording process; by utilizing the data acquisition module to obtain the environmental data in the sports field in real time, replacing the original manual inspection, the labor cost is greatly saved; and the conflict resolution component is used to push the corresponding venue to the personnel according to the priority level, thereby preventing conflicts and improving the personnel's experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of the connection relationship between modules of an intelligent sports field management system according to an embodiment of the present invention; DETAILED DESCRIPTION The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.

[0024] The present invention provides an intelligent sports field management system, comprising: The data acquisition module is used to detect environmental data and reservation data within the stadium. The data collected by the data acquisition module is conducive to pushing information to people entering the stadium and providing reference data for the stadium's own adjustment. For example, when the temperature in the stadium is detected to be too high, a high temperature warning is pushed to the occupants, suggesting that the exercise time be shortened and cooling devices such as air conditioning be turned on; The data processing module is connected to the data acquisition module. The data processing module includes a data storage component and a prediction component. The data storage component is used to store environmental data, and the prediction component is used to predict and obtain the predicted reservation volume. The data processing module is used to store the data collected by the data acquisition module. The predicted reservation volume is conducive to the stadium management personnel to make targeted preparations; The venue allocation module and the data processing module are connected to the venue allocation module. The venue allocation module stores scene templates and matching conditions. The venue allocation module matches personnel with corresponding scene templates based on the reservation data and matching conditions. The venue allocation module is used to push different scene templates to personnel, thereby facilitating personnel selection.

[0025] By using the data acquisition module to obtain appointment data and adopting the data processing module to store the appointment data, the original manual recording method is replaced, thereby improving the accuracy of the data and reducing the possibility of errors in the recording process; by using the data acquisition module to obtain environmental data in the sports field in real time, replacing the original manual inspection, it greatly saves labor costs.

[0026] In some embodiments, the environmental data includes temperature data, humidity data, PM2.5 data, and light intensity data. The temperature data is used to indicate the temperature within the sports field, the humidity data is used to indicate the humidity within the sports field, the PM2.5 data is used to indicate the PM2.5 concentration within the sports field, and the light intensity data is used to indicate the light intensity within the sports field, thereby making adjustments to the temperature, humidity, PM2.5, and light intensity. For example, if the temperature is detected to be over 35°C, the spray cooling device or refrigeration device will be turned on; if the humidity is detected to be over 60%, the dehumidification device will be turned on to protect the wooden boards; when the PM2.5 concentration is detected to be over 35μg / m³, the indoor ventilation system will be turned on, and a push notification will be sent to people exercising in open-air venues to recommend wearing masks; when the PM2.5 concentration is detected to be over 75μg / m³, the open-air venue will be forcibly closed and people will be moved indoors; when the light intensity is detected to be greater than 1000lux, 50% of the lighting will be turned off, and the brightness of the remaining lighting will be modulated by 70% to save energy; when the light intensity is detected to be less than 300lux, the lighting will be turned on and the light intensity will be adjusted to 500lux.

[0027] In some embodiments, the data acquisition module includes a temperature and humidity sensor, a PM2.5 detector, and a light intensity sensor. The data acquisition module collects temperature data, humidity data, PM2.5 data, and light intensity data in the sports field by utilizing the temperature and humidity sensor, the PM2.5 detector, and the light intensity sensor. The temperature and humidity sensor is used to detect temperature data and humidity data, the PM2.5 detector is used to detect PM2.5 data, and the light intensity sensor is used to detect light intensity data; for example, a temperature and humidity sensor, a PM2.5 detector, and a light intensity sensor are deployed for every 200 m2 of the venue to detect environmental data.

[0028] In some embodiments, the prediction component includes a prediction formula, which is used to obtain the predicted number of reservations for the next 72 hours. By using the prediction formula to obtain the predicted number of reservations for the next 72 hours, it is helpful for staff in the stadium to prepare in advance. The prediction formula is: y(t)=g(t)+s(t)+h(t)+ε; Among them, g(t) is the trend term, which represents the logical growth of appointments; s(t) is the periodic term, which represents the daily, weekly, and annual seasonality of appointments; h(t) is the impact term, such as the impact of holidays; ε is the noise term, which is used to eliminate errors.

[0029] In some embodiments, the data processing module also includes a conflict resolution component, which stores priority rules. The data processing module pushes venues according to the priority rules. The conflict resolution component is used to push corresponding venues to personnel according to priority levels to prevent conflicts and improve the personnel's experience; for example, the priority rule is: VIP users>group reservation users>individual users. When a conflict arises between a VIP user and a group reservation user, the venue is pushed to the VIP user first, and at the same time, an alternative venue is pushed to the group reservation user, and a compensation plan is provided to the group reservation user, such as a discount coupon.

[0030] In some embodiments, the scene template includes an event mode, the matching conditions include event matching conditions, the event mode matches the event matching conditions, and the event mode is set to be pushed to the group in the venue to facilitate group activities and improve the applicability of the sports field; for example, if it is detected that the reservation method is a group reservation and the number of participants exceeds 50 people, it is determined that the event matching conditions are met, and a scene of the event mode is pushed to this group. A home venue is allocated in this scene, the scoreboard is turned on, and the lighting brightness is increased to facilitate the conduct of the event.

[0031] In some embodiments, the scene template also includes a teaching mode, and the matching conditions also include a teaching matching condition. The teaching mode matches the teaching matching condition. The teaching mode is used to push training personnel to the venue to facilitate the development of teaching, thereby improving the applicability of the sports field; for example, when it is detected that the reservation method is a training reservation, it is determined that the teaching matching condition is met, and this group is assigned to the teaching mode scene. This venue is equipped with auxiliary teaching equipment, such as projectors and loudspeakers, and users who are not members of this group are restricted from entering this scene to prevent teaching from being disturbed.

[0032] In some embodiments, the scene template also includes an energy-saving mode, and the matching conditions also include energy-saving matching conditions. The energy-saving mode matches the energy-saving matching conditions. The energy-saving mode is used for self-regulation of the sports field to reduce energy consumption, thereby saving energy and further improving the applicability of the sports field; for example, through reservation data, when it is detected that the scene is in an off-peak period or the scene is at low utilization, it is determined that the energy-saving matching conditions are met, and the scene automatically enters the energy-saving mode, turns off the lighting in the restricted area, and adjusts the air conditioner to the energy-saving gear.

[0033] In some embodiments, the data acquisition module also includes a camera, which is used to collect pictures in the scene and transmit the pictures to the venue allocation module. The venue allocation module uses the SlowFast algorithm based on the pictures to determine the type of movement, thereby switching the corresponding scenes; for example, the scene template is in energy-saving mode, and when dribbling, shooting and other actions are detected in the scene, the scene template is converted to competition mode.

[0034] The SlowFast algorithm includes Slow Pathway input and Fast Pathway input: Slow Pathway input: ,in, is the time step, is the spatial resolution, is the number of channels; Fast Pathway input: ,in, is the time step, is the spatial resolution, is the number of channels, is the total number of frames in the time dimension.

[0035] In some embodiments, when the venue allocation module detects that people in the current scene template are performing inappropriate movements, a warning is triggered and pushed to the management personnel for intervention; for example, in the scene template of the event mode, if square dance movements are detected, a warning is issued through voice broadcast, requiring people in this scene to go to the corresponding venue, and at the same time, a message is sent to the management personnel for supervision and intervention.

[0036] In some embodiments, the data acquisition module also includes an infrared thermal imaging camera, which uses the infrared thermal imaging camera and edge computing equipment to calculate the real-time number of people in the venue to assist the venue allocation module in allocating scene templates. At the same time, the infrared thermal imaging camera can be used to analyze the density distribution of people, thereby assisting in determining the actions being performed by people in the scene.

[0037] In some embodiments, the data acquisition module also includes an audio collection component, which is used to collect the ambient sound spectrum in the scene, and then compare the ambient sound spectrum with the voiceprint feature library of preset labels. For example, a basketball court should have the sound of ball impact and whistle, and square dancing should have the sound of music rhythm, thereby assisting the venue allocation module to determine the actions being performed by people in the scene.

[0038] In some embodiments, the intelligent sports field management system also includes an interactive module. The venue allocation module is connected to the interactive module. The interactive module is used to display scene templates. The interactive module is conducive to improving the human-computer interaction ability and displays the pushed information for easy reading by people on the field.

[0039] In some embodiments, the intelligent sports field management system further includes an LSTM neural network, which is connected to a data acquisition module. The LSTM neural network analyzes the vibration and energy consumption data of the equipment and the condition of the equipment, thereby providing an early warning of the risk of equipment failure.

[0040] In summary, the present invention provides an intelligent sports field management system, which obtains reservation data by utilizing a data acquisition module and stores the reservation data using a data processing module, replacing the original manual recording method, thereby improving the accuracy of the data and reducing the possibility of errors in the recording process; by utilizing the data acquisition module to obtain environmental data in the sports field in real time, replacing the original manual inspection, greatly saving labor costs; using the conflict resolution component to push corresponding venues to personnel according to priority levels, preventing conflicts and improving the personnel experience.

[0041] The above embodiments are only for illustrating the technical concept and features of the present invention. Its purpose is to enable people familiar with this technology to understand the content of the present invention and implement it. It cannot be used to limit the scope of protection of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent sports field management system, characterized in that: include: A data acquisition module, the data acquisition module is used to detect environmental data and reservation data in the sports field; A data processing module, wherein the data acquisition module is connected to the data processing module, and the data processing module includes a data storage component and a prediction component, wherein the data storage component is used to store the environmental data, and the prediction component is used to predict and obtain the predicted reservation volume; The data processing module is connected to the venue allocation module, and the venue allocation module stores scene templates and matching conditions. The venue allocation module matches personnel with the corresponding scene templates according to the reservation data and the matching conditions.

2. The intelligent sports field management system according to claim 1, characterized in that: The environmental data includes temperature data, humidity data, PM2.5 data and light intensity data.

3. The intelligent sports field management system according to claim 2, characterized in that: The data acquisition module includes a temperature and humidity sensor, a PM2.5 detector and a light intensity sensor. The temperature and humidity sensor is used to detect the temperature data and the humidity data, the PM2.5 detector is used to detect the PM2.5 data, and the light intensity sensor is used to detect the light intensity data.

4. The intelligent sports field management system according to claim 1, characterized in that: The prediction component includes a prediction formula, which is used to obtain the predicted reservation volume for the next 72 hours. The prediction formula is: y(t)=g(t)+s(t)+h(t)+ε; Among them, g(t) is the trend term, s(t) is the periodic term, h(t) is the influence term, and ε is the noise term.

5. The intelligent sports field management system according to claim 1, characterized in that: The data processing module further includes a conflict resolution component, wherein the conflict resolution component stores priority rules, and the data processing module performs venue push according to the priority rules.

6. The intelligent sports field management system according to claim 1, characterized in that: The scenario template includes a competition mode, the matching condition includes a competition matching condition, and the competition mode matches the competition matching condition.

7. The intelligent sports field management system according to claim 1, characterized in that: The scenario template further includes a teaching mode, the matching condition further includes a teaching matching condition, and the teaching mode matches the teaching matching condition.

8. The intelligent sports field management system according to claim 1, characterized in that: The scenario template further includes an energy-saving mode, the matching condition further includes an energy-saving matching condition, and the energy-saving mode matches the energy-saving matching condition.

9. The intelligent sports field management system according to claim 1, characterized in that: It also includes an interaction module, the venue allocation module is connected to the interaction module, and the interaction module is used to display the scene template.

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