Disclosure of Invention
(One) solving the technical problems
Aiming at the defects of the prior art, the invention provides an active content operation management system for an intelligent park, which aims to solve the problems mentioned in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: an active content operation management system for an intelligent park comprises an active area dividing unit, a reservation unit, a schedule acquisition unit, an analysis unit and a scheduling unit;
Dividing the intelligent park into a plurality of active areas by the active area dividing unit according to a type dividing principle, and collecting the resource capacity of each active area; calculating the region accommodation degree Rnd of each active region; creating a visual park model, and marking a plurality of active areas in the visual park model for the first time, specifically r1, r2, r3 and..rn;
the reservation unit is used for submitting an activity plan schedule by enterprises in the intelligent park, and displaying a mark of success or unsuccessful reservation in the reservation unit;
The schedule acquisition unit is used for acquiring a plurality of active schedule schedules in the preset unit, establishing a first data set according to the type division principle of the active area division unit, extracting the active schedule of the corresponding active area, establishing an area subset, extracting time period information from the area subset by the analysis unit, dividing each time period to obtain the total schedule of each time period, and recording as followsWhen the total schedule of each period exceeds the region accommodation degree Rnd, calculating to obtain a redundant schedule value R;
when the total schedule of each period is lower than the region accommodation degree Rnd, calculating to obtain a surplus schedule value Y, correspondingly matching the redundant schedule value R with the surplus schedule value Y to obtain a matching result Ry, and carrying out corresponding region schedule scheduling by the scheduling unit according to the matching result Ry.
Preferably, the activity area dividing unit comprises a historical data acquisition module;
The historical data acquisition module is used for collecting and arranging historical data of past activity schedules of a plurality of enterprises, including activity dates, time, number of participants and required equipment resources, and establishing a historical data set;
sequencing according to the number of participants of the sample schedules from the historical data set, extracting schedules with frequency of first frequent occurrence, recording the schedules as first sample schedules, and calculating the activity capacity of the first sample schedules;
calculating the rest schedules with the similarity exceeding 80% to obtain a second similarity schedule, and calculating the average number of participants of the first sample schedule and the second similarity schedule;
Summing the number of participants of all schedules in the historical dataset and dividing by the total number of schedules to obtain a value of a first average schedule activity capacity Dr 1; summing the number of participants in the first sample schedule and the second similarity schedule, dividing the sum by the corresponding schedule number to obtain a second average schedule activity capacity Dr2; and the average value of the first average schedule activity capacity Dr1 and the second average schedule activity capacity Dr2 is obtained, and a value of a single activity capacity PJDr is obtained.
Preferably, the activity area dividing unit further comprises an area acquisition module, an accommodation degree calculation module and a visualization module;
The area acquisition module acquires the resource capacity of each active area by adopting a plurality of active areas, wherein the resource capacity comprises the number of accommodations and the number of devices, the accommodations calculation module calculates the area accommodations Rnd according to the number of accommodations Zrs and the total number of devices Zsb, and the area accommodations Rnd are generated by the following formula:
where MJ is expressed as the area of the active area, rmd is expressed as the average number of accommodations per square meter, i.e., the average person density, A1 is expressed as the weight value of the number of accommodations Zrs,A weight value expressed as the total number of devices Zsb; PJDr is denoted as single activity capacity, and is obtained through calculation by a historical data acquisition module; c is denoted as correction constant.
The visualization module is used for performing first marking, in particular r1, r2, r3, r.; and displaying the specific value of the region accommodation degree Rnd obtained through calculation as the suffix of the second mark in the first mark.
Preferably, the analysis unit comprises a surplus schedule calculation unit and a redundant schedule calculation unit;
the surplus schedule calculating unit is used for subtracting the value of the region accommodation degree Rnd from the total schedule of each period when the total schedule of each period exceeds the region accommodation degree Rnd to obtain a redundant schedule value R, and the following marks are made on the visualization unit:：
When the total schedule of each time period is lower than the area accommodation degree Rnd, the total schedule of each time period is confirmed to be scheduled successfully, the scheduled success is displayed in batches in a scheduled unit as first scheduled success information, the area accommodation degree Rnd is subtracted from the total schedule of each time period to obtain a surplus schedule value Y, and the following marks are made on a visualization unit:。
preferably, the analysis unit includes a matching unit;
The matching unit is used for correspondingly matching a plurality of redundant schedule values R with a plurality of surplus schedule values Y, comparing the redundant schedule values R with the surplus schedule values Y through an Euclidean distance method, regarding the redundant schedule values R and the surplus schedule values Y as coordinate points in the multidimensional vector, and then calculating the matching formula of Euclidean distance between the redundant schedule values R and the surplus schedule values Y as follows:
Where i is denoted as the sample index, n is denoted as the number of samples,Represented asWherein the redundant calendar value R of any one of the time slots tlactive area,Represented asAnd obtaining a matching result Ry by the surplus schedule value Y of the active area of any time period T.
Preferably, the scheduling unit comprises a first scheduling module;
The first scheduling module is configured to perform a scheduling policy according to a matching result Ry, and includes:
If the matching result Ry is smaller than 1, a first matching result is obtained, and the matching is successful, the schedule number of the surplus schedule value Y in the current area is only required to be allocated to the area of the redundant schedule value R, and second preset successful information batch display is carried out in the corresponding active area in the preset unit;
if the matching result Ry is greater than 2, the total number of schedules of the redundant schedule value R of the current active area is used as a schedule which is not scheduled to be successful, and the schedule flows into the next node for further processing.
Preferably, the scheduling unit further comprises a processing module;
the processing module is configured to obtain a second matching result when the matching result Ry is greater than 2, process a redundant schedule of the redundant schedule value R, collect a predetermined time point of the redundant schedule value R, collect a credit rating a, a delay activity number ttcs, a historical average report value bbj and a device damage number sbcs of a redundant schedule enterprise, perform dimensionless processing, and calculate to obtain a credit score coefficient PF, where the credit score coefficient PF is generated by the following formula:
Wherein Zbbj denotes the sum of historic report values, ls denotes the number of historic schedules,、Preset proportional coefficients of time delay activity number ttcs, historical average report value bbj and equipment damage number sbcs respectively, and、Are all greater than 0.
Preferably, the scheduling unit further includes a second scheduling module, where the second scheduling module is configured to perform priority ranking on the redundant schedule of the second matching result according to the value of the credit score coefficient PF, so as to obtain a first priority ranking; and according to the first priority ranking, automatically postponing the ranking for a predetermined time.
Preferably, the predetermined unit includes a predetermined module, a display module, and a redefined suggestion module;
The reservation module is used for submitting an activity plan schedule by enterprises in the intelligent park; the display module is used for displaying the first preset successful information in batches and displaying the first preset successful information in batches; and a redundant schedule of the second evaluation result, representing an unscheduled successful schedule, displaying a scheduled failure flag; the re-reservation suggestion module is used for automatically delaying the priority arrangement for a preset time after the priority arrangement of the un-reserved successful schedule is confirmed by the second scheduling module, and displaying the corresponding time suggestion.
Preferably, the system also comprises an activity site monitoring unit and a reminding unit;
the activity site monitoring unit is used for installing an infrared sensor and a timing sensor on an area activity site to obtain activity site people number data and activity timing data, and generating a delay reminding instruction through the reminding unit according to the activity site people number data and the activity timing time value if the activity timing time value exceeds an activity preset time value and the number of monitored activity site people is greater than 5.
(III) beneficial effects
The invention provides an active content operation management system for an intelligent park. The beneficial effects are as follows:
(1) This an activity content operation management system for wisdom garden, schedule collection unit and analytical unit are at real-time supervision activity schedule and resource service conditions to in time adjust the schedule, avoid the time conflict, improve activity efficiency. By calculating the redundant schedule value R, the system timely discovers and reduces excessive resource allocation, avoids waste and improves the resource utilization rate. By calculating the surplus schedule value Y, sufficient resource supply is promoted and ensured, so that the problem of insufficient active resources is avoided, and the satisfaction degree of users is improved. By matching the result Ry, the system promotes intelligently matching surplus resources with redundant resources, thereby realizing better resource balance and improving effective utilization of resources.
(2) This an activity content operation management system for wisdom garden, regional collection module is through the data of collection resource capacity, including accommodation number and equipment quantity, and accommodation degree calculation module uses the formula to calculate regional accommodation degree Rnd. This ensures an accurate estimate of the containment of each active area. The visualization module provides an intuitive campus model in which first and second labels are used to identify labels and zone accommodations Rnd values for different active zones. This helps the manager to better understand the situation throughout the campus.
(3) The active content operation management system for the intelligent park can conduct deep data analysis and mining by regarding the redundant schedule value R and the surplus schedule value Y as coordinate points in a multidimensional vector and calculating Euclidean distance between the redundant schedule value R and the surplus schedule value Y. This helps identify patterns, trends, and associations, providing more information for decisions. The matching result Ry provides matching information between the redundant calendar value R and the number of surplus calendar values Y. This facilitates the use in intelligent resource scheduling, i.e., allocating resources in redundant schedules to surplus schedules, thereby more efficiently utilizing resources and improving the activity capacity and resource utilization of the campus. The system can optimize time management, ensure that resources are reasonably utilized in different time periods, and reduce waste and redundancy. The data-driven matching method is beneficial to improving the operation efficiency of the intelligent park, and enables the scheduling of resources to be more intelligent and optimized.
(4) The active content operation management system for the intelligent park comprises a processing module, a processing module and a storage module, wherein the processing module is used for processing the condition that a matching result Ry is more than 2, and collecting various information of a redundant schedule, including credit rating A, time delay activity number ttcs, historical average report value bbj and equipment damage number sbcs of enterprises. And judging the credibility and reliability of the enterprise. By calculating the credit rating factor PF, a better understanding of the credit status of an enterprise is facilitated, which helps to decide whether to allocate resources to the enterprise. And the second scheduling module ranks the redundant schedules according to the first priority and the priority of the value of the credit scoring coefficient PF. This is beneficial to reasonably allocating resources and ensuring that resources are allocated to businesses with good reputation, reducing resource waste and improving reliability of activity. The second scheduling module automatically delays the scheduled time of the redundant schedule by the priority ranking. This helps resolve time conflicts and ensures that activity promotion occurs at the proper time and place, improving user satisfaction.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Conventional activity content operations typically involve planning and scheduling different types of activities, such as meetings, training, exhibitions, shows, sporting events, and the like, to meet the needs of various groups. This includes determining the time, place, participants, equipment, and resources of the activity. In many smart parks, allocation and management of active resources is typically based on static planning, which may result in surplus resources for certain periods and areas and shortage of resources for other periods and areas. Traditional operations may result in time conflicts between activities, affecting participant satisfaction.
Example 1
The invention provides an active content operation management system for an intelligent park, referring to FIG. 1, comprising an active area dividing unit, a reservation unit, a schedule acquisition unit, an analysis unit and a scheduling unit;
Dividing an intelligent park into a plurality of activity areas by the activity area dividing unit according to a type dividing principle, and according to the theme or the field of the activity, or distinguishing different types of activities such as conferences, exhibitions, performances, sporting events, training and the like, and collecting the resource capacity of each activity area; calculating the region accommodation degree Rnd of each active region; creating a visual park model, and marking a plurality of active areas in the visual park model for the first time, specifically r1, r2, r3 and..rn; through the activity area dividing unit and the visual campus model, the system can intelligently divide the parks, dynamically allocate the activity resources according to the resource capacity and the demand distribution, and ensure the optimal resource utilization.
The reservation unit is used for submitting an activity plan schedule by enterprises in the intelligent park, and displaying a mark of success or unsuccessful reservation in the reservation unit;
The schedule acquisition unit is used for acquiring a plurality of active schedule schedules in the preset unit, establishing a first data set according to the type division principle of the active area division unit, extracting the active schedule of the corresponding active area, establishing an area subset, extracting time period information from the area subset by the analysis unit, dividing each time period to obtain the total schedule of each time period, and recording as followsWhen the total schedule of each period exceeds the region accommodation degree Rnd, calculating to obtain a redundant schedule value R;
when the total schedule of each period is lower than the region accommodation degree Rnd, calculating to obtain a surplus schedule value Y, correspondingly matching the redundant schedule value R with the surplus schedule value Y to obtain a matching result Ry, and carrying out corresponding region schedule scheduling by the scheduling unit according to the matching result Ry.
In the embodiment, the schedule acquisition unit and the analysis unit monitor the activity schedule and the resource use condition in real time, so that the schedule is adjusted in time, time conflict is avoided, and the activity efficiency is improved. By calculating the redundant schedule value R, the system timely discovers and reduces excessive resource allocation, avoids waste and improves the resource utilization rate. By calculating the surplus schedule value Y, the system promotes ensuring sufficient resource supply, thereby avoiding the problem of insufficient active resources and improving user satisfaction. By matching the result Ry, the system promotes intelligently matching surplus resources with redundant resources, thereby realizing better resource balance and improving effective utilization of resources.
Example 2
In this embodiment, for the explanation in embodiment 1, please refer to fig. 1, specifically, the activity area dividing unit includes a historical data collecting module;
The historical data acquisition module is used for collecting and arranging historical data of past activity schedules of a plurality of enterprises, including activity dates, time, number of participants and required equipment resources, and establishing a historical data set;
Active capacity of first sample schedule: first, a schedule of the most frequent number of participants is found from the historical dataset, and this schedule is marked as a first sample schedule. The activity capacity is the number of participants in the schedule.
Activity capacity of the second similarity schedule: then, a schedule having a similarity with the first sample schedule of more than 80% among all other schedules is found. The average number of participants in these schedules was used to calculate the activity capacity of the second similarity schedule.
First average schedule activity capacity Dr1: the number of participants for all schedules in the historical dataset is summed and divided by the total number of schedules to calculate a first average schedule activity capacity Dr1.
Second average calendar activity capacity Dr2: the number of participants in the first sample schedule and the second similarity schedule are summed and divided by the corresponding number of schedules to calculate a second average schedule activity capacity Dr2.
Single active capacity PJDr: finally, the average of the first average calendar activity capacity Dr1 and the second average calendar activity capacity Dr2 is calculated to obtain a value of a single activity capacity PJDr.
In this embodiment, the single active capacity PJDr value provides an accurate capacity estimate through analysis and comparison of historical data, enabling the smart park to more accurately allocate resources. This helps to avoid the waste and shortage of resources and to improve the utilization of resources. A single activity capacity PJDr value helps to improve user satisfaction by ensuring that each type of activity has sufficient capacity. By calculating the activity capacity of the first sample schedule and the average number of participants for different types of activities, the system facilitates determining the capacity of each activity area. This helps to better arrange and allocate resources to ensure that each activity can accommodate an appropriate number of participants.
Example 3
In this embodiment, as explained in embodiment 1, please refer to fig. 1, specifically, the active area dividing unit further includes an area acquisition module, an accommodation calculating module, and a visualization module;
The area acquisition module acquires the resource capacity of each active area by adopting a plurality of active areas, wherein the resource capacity comprises the number of accommodations and the number of devices, the accommodations calculation module calculates the area accommodations Rnd according to the number of accommodations Zrs and the total number of devices Zsb, and the area accommodations Rnd are generated by the following formula:
where MJ is expressed as the area of the active area, rmd is expressed as the average number of accommodations per square meter, i.e., the average person density, A1 is expressed as the weight value of the number of accommodations Zrs,A weight value expressed as the total number of devices Zsb; PJDr is denoted as single activity capacity, and is obtained through calculation by a historical data acquisition module; c is expressed as a correction constant;
the visualization module is used for performing first marking, in particular r1, r2, r3, r.; and displaying the specific value of the region accommodation degree Rnd obtained through calculation as the suffix of the second mark in the first mark.
In this embodiment, the area acquisition module collects data of resource capacity, including the number of people and the number of devices, and the accommodation calculation module calculates the area accommodation Rnd using a formula. This ensures an accurate estimate of the containment of each active area. The visualization module provides an intuitive campus model in which first and second labels are used to identify labels and zone accommodations Rnd values for different active zones. This helps the manager to better understand the situation throughout the campus.
Example 4
This embodiment is explained in embodiment 1, referring to fig. 1, specifically, the analysis unit includes a surplus schedule calculation unit and a redundant schedule calculation unit;
the surplus schedule calculating unit is used for subtracting the value of the region accommodation degree Rnd from the total schedule of each period when the total schedule of each period exceeds the region accommodation degree Rnd to obtain a redundant schedule value R, and the following marks are made on the visualization unit:：
When the total schedule of each time period is lower than the area accommodation degree Rnd, the total schedule of each time period is confirmed to be scheduled successfully, the scheduled success is displayed in batches in a scheduled unit as first scheduled success information, the area accommodation degree Rnd is subtracted from the total schedule of each time period to obtain a surplus schedule value Y, and the following marks are made on a visualization unit:。
In the present embodiment, by the surplus schedule calculation unit, the system can accurately determine the total schedule of each period, which means that the activity is successfully scheduled when the total schedule is lower than the region accommodations Rnd. The marking of the surplus schedule calculation unit enables the system to display the successfully scheduled information in batches in the reservation unit, which helps the user to more easily know which time periods are available. The difference value between the total schedule of each period and the region accommodation degree Rnd is subtracted by the redundant schedule calculation unit, so that the redundant schedule is reduced, and the waste of resources and the empty time are avoided. Through the mark on the visual unit, the manager is convenient to know the resource utilization condition of each time period at any time. Such data feedback and monitoring helps track resource utilization for real-time adjustment and improvement. Because the system can provide more predefinable time periods, the user can more easily participate in different types of activities, and the satisfaction degree of the user is improved.
Example 5
This embodiment is explained in embodiment 4, please refer to fig. 1, specifically, the analysis unit includes a matching unit;
The matching unit is used for correspondingly matching a plurality of redundant schedule values R with a plurality of surplus schedule values Y, comparing the redundant schedule values R with the surplus schedule values Y through an Euclidean distance method, regarding the redundant schedule values R and the surplus schedule values Y as coordinate points in the multidimensional vector, and then calculating the matching formula of Euclidean distance between the redundant schedule values R and the surplus schedule values Y as follows:
Where i is denoted as the sample index, n is denoted as the number of samples,Represented asWherein the redundant calendar value R of any one of the time slots tlactive area,Represented asAnd obtaining a matching result Ry by the surplus schedule value Y of the active area of any time period T.
In this embodiment, the system can perform deep data analysis and mining by regarding the redundant schedule value R and the surplus schedule value Y as coordinate points in the multidimensional vector and calculating the euclidean distance between the redundant schedule value R and the surplus schedule value Y. This helps identify patterns, trends, and associations, providing more information for decisions. The matching result Ry provides matching information between the redundant calendar value R and the number of surplus calendar values Y. The method is used for intelligent resource scheduling, namely, resources in redundant schedules are allocated to surplus schedules, so that the resources are utilized more effectively, and the activity capacity and the resource utilization rate of a park are improved. The system can optimize time management, ensure that resources are reasonably utilized in different time periods, and reduce waste and redundancy. The data-driven matching method is beneficial to improving the operation efficiency of the intelligent park, and enables the scheduling of resources to be more intelligent and optimized.
Example 6
In this embodiment, for the explanation in embodiment 1, please refer to fig. 1, specifically, the scheduling unit includes a first scheduling module;
The first scheduling module is configured to perform a scheduling policy according to a matching result Ry, and includes:
If the matching result Ry is smaller than 1, a first matching result is obtained, and the matching is successful, the schedule number of the surplus schedule value Y in the current area is only required to be allocated to the area of the redundant schedule value R, and second preset successful information batch display is carried out in the corresponding active area in the preset unit;
if the matching result Ry is greater than 2, the total number of schedules of the redundant schedule value R of the current active area is used as a schedule which is not scheduled to be successful, and the schedule flows into the next node for further processing.
In this embodiment, when the matching result Ry is smaller than 1, which indicates a successful match, the system allocates the schedule number in the surplus schedule value Y of the current area into the area of the redundant schedule value R. This helps optimize resource utilization, ensures that resources are allocated in balance between different regions, and improves resource utilization. Through the strategy of the first scheduling module, the system can effectively allocate surplus schedules to redundant schedules, so that the activity capacity of the intelligent park is improved. By reasonably distributing resources, time conflict is reduced, and user satisfaction is improved. The user can more easily reserve and participate in the activity.
Example 7
In this embodiment, as explained in embodiment 1, please refer to fig. 1, specifically, the scheduling unit further includes a processing module and a second scheduling module;
the processing module is configured to obtain a second matching result when the matching result Ry is greater than 2, process a redundant schedule of the redundant schedule value R, collect a predetermined time point of the redundant schedule value R, collect a credit rating a, a delay activity number ttcs, a historical average report value bbj and a device damage number sbcs of a redundant schedule enterprise, perform dimensionless processing, and calculate to obtain a credit score coefficient PF, where the credit score coefficient PF is generated by the following formula:
Wherein Zbbj denotes the sum of historic report values, ls denotes the number of historic schedules,、Preset proportional coefficients of time delay activity number ttcs, historical average report value bbj and equipment damage number sbcs respectively, and、Are all greater than 0.
Specifically, the second scheduling module is configured to prioritize the redundant schedule of the second matching result according to the value of the credit score coefficient PF, so as to obtain a first priority ranking; and according to the first priority ranking, automatically postponing the ranking for a predetermined time.
In this embodiment, the processing module processes the situation that the matching result Ry is greater than 2, and collects various information of the redundant schedule, including the credit rating a, the time delay activity number ttcs, the historical average report value bbj and the equipment damage number sbcs of the enterprise. And judging the credibility and reliability of the enterprise. By calculating the credit rating factor PF, a better understanding of the credit status of an enterprise is facilitated, which helps to decide whether to allocate resources to the enterprise. And the second scheduling module ranks the redundant schedules according to the first priority and the priority of the value of the credit scoring coefficient PF. This is beneficial to reasonably allocating resources and ensuring that resources are allocated to businesses with good reputation, reducing resource waste and improving reliability of activity. The second scheduling module automatically delays the scheduled time of the redundant schedule by the priority ranking. This helps resolve time conflicts and ensures that activity promotion occurs at the proper time and place, improving user satisfaction. The processing module and the second scheduling module jointly realize comprehensive resource management, not only consider the quantity of resources, but also consider the quality of the resources and the credit condition of enterprises so as to ensure the effective utilization of the resources.
Example 8
This embodiment is explained in embodiment 1, referring to fig. 1, specifically, the predetermined unit includes a predetermined module, a display module, and a redefined suggestion module;
The reservation module is used for submitting an activity plan schedule by enterprises in the intelligent park; the reservation module is used for submitting the activity plan schedule in the intelligent park by the enterprise. This allows the enterprise to conveniently place activity demands of the enterprise users, including date, time, place, and other resource requirements. This facilitates centralized management and planning of various activities within the campus, providing a convenient way for enterprises to apply for and schedule activities.
The display module is used for displaying the first preset successful information in batches and displaying the first preset successful information in batches; and a redundant schedule of the second evaluation result, representing an unscheduled successful schedule, displaying a scheduled failure flag; the display module has two main functions. First, it is used to batch display first reservation success information, i.e., those activity schedules that were successfully reserved, so that the enterprise can clearly understand that the enterprise user's plan has been accepted. Next, a redundant schedule for displaying the second evaluation result, representing a schedule of unsubscribed success, is displayed, and a predetermined failure flag is added. This helps the enterprise to know which activities were unsuccessfully scheduled and may require re-scheduled or optimized activities.
The re-reservation suggestion module is used for automatically delaying the priority arrangement for a preset time after the priority arrangement of the un-reserved successful schedule is confirmed by the second scheduling module, and displaying the corresponding time suggestion. The re-reservation advice module functions to provide advice for those schedules that were not reserved for success. The predetermined time for arranging the schedules is automatically delayed by the prioritized ordering confirmed by the second scheduling module to provide time suggestions. This helps the enterprise re-plan the activities of the enterprise users to increase the chances of successful reservation and to ensure that conflicts in time are resolved. This is also beneficial to improving the credibility and satisfaction of the activity.
Example 9
The embodiment is explained in embodiment 1, please refer to fig. 1, and specifically, the embodiment further includes an activity site monitoring unit and a reminding unit;
the activity site monitoring unit is used for installing an infrared sensor and a timing sensor on an area activity site to obtain activity site people number data and activity timing data;
The function of the activity site monitoring unit is to monitor the actual activity site situation. The number of people data and activity timing data of the activity scene are obtained by using the infrared sensor and the timing sensor. By installing an infrared sensor and a timer sensor, when monitoring the number of people on the scene, the infrared sensor is usually arranged around the area to be monitored. The infrared sensor may be located in a ceiling, wall or floor, etc. to ensure that the entire area is effectively covered. Each object radiates infrared light, which is determined by the temperature of the object. The human body also radiates infrared light, the intensity of which is related to the body temperature of the human body. The infrared sensor is capable of detecting infrared radiation; the system tracks the number of people on the scene of the activity, knows whether the activity is scheduled to be performed or not, and whether the activity is overtime or not. The management and supervision efficiency of the activities is improved, and the activities are ensured to be completed on time.
And generating a delay reminding instruction by the reminding unit according to the data of the number of people on the activity site and the activity timing time value if the activity timing time value exceeds the activity preset time value and the number of people on the activity site is monitored to be more than 5.
The reminding unit and the activity site monitoring unit work cooperatively. When the number of people on the activity site is monitored to be more than 5, and meanwhile, the activity timing time value exceeds the preset time of the activity, the reminding unit generates a delay reminding instruction. Is important to ensure the successful performance of the next event and the safety of the participants. The reminding unit is used for reminding related personnel, including an activity manager, a security personnel or other staff, to take appropriate measures, such as prolonging the activity time, arranging more resources, or taking other necessary actions to ensure the performance of the next activity and the satisfaction of the participants.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.