CN107248011B - Intelligent flow distribution system and method for people in public places - Google Patents
Intelligent flow distribution system and method for people in public places Download PDFInfo
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Abstract
The invention relates to a public place people flow intelligent shunting system and a method, wherein the system comprises: the system comprises on-site monitoring equipment, a background server and a user intelligent terminal with a built-in GPS module, wherein the on-site monitoring equipment is wirelessly connected with the background server and comprises closed venue on-site monitoring equipment and open venue on-site monitoring equipment; the user APP is pre-stored with an electronic map and used for receiving the dynamic scores of the pedestrian flow of the closed venue or the open venue predicted by the background server and displaying the scores in the form of the electronic map and/or the list. Through the technical scheme of the invention, the problem that public facility resources cannot be reasonably and efficiently utilized due to uneven distribution of people streams in public places in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of intelligent service in the public field, in particular to a system and a method for intelligently shunting the flow of people in public places.
Background
In recent two years, the nation has vigorously developed the sports industry, and the sports industry is positioned as one of the national development strategies. In addition to the adoption of the winter Olympic meeting in 2022, the development of sports-related industries was accelerated and consumption and social capital introduction were vigorously promoted. Particularly, the development of ice and snow related industries is promoted. At the same time, there will be sport areas on the market that are built and put into operation in addition to the relevant sport area areas that are already present. Particularly, the country supports the integrated development of Jingjin Ji, and a perfect sports consumption system (sports belt) is established in the Jingjin Ji area.
When a large number of users rush into a sports stadium or field, if the prediction is insufficient, the situation that the local saturation even exceeds the environment accommodating capacity can occur. For example: due to the limitation of conditions, the sites and venues for ice and snow sports are generally located in suburbs or suburbs. When the user arrives, the situation that the accommodation amount of the field is insufficient or the equipment is rented and sold for one time is likely to happen. At this time, if the user moves to other sites and venues, more time is consumed, and even sufficient time is not provided for moving to other sites and venues.
In addition, as the geographic position and the consumption difference cause that part of sites and venues are selected by consumers in a centralized way, the flow of people (the environment accommodation capacity of the sites and venues is saturated) is overlarge, and bad consumption experience is brought to the consumers, or the sites and venues are not suitable for re-consumption; but other places and venues are cold and not saturated.
Disclosure of Invention
In view of this, the present invention aims to overcome the defects of the prior art, and provides an intelligent diversion system and method for pedestrian flow in public places, so as to solve the problem in the prior art that public facility resources cannot be reasonably and efficiently utilized due to uneven distribution of pedestrian flow in public places.
In order to achieve the purpose, the invention adopts the following technical scheme:
a public place people flow intelligent shunting system comprises: the system comprises an on-site monitoring device, a background server and a user intelligent terminal with a built-in GPS module, wherein,
the on-site monitoring equipment is wirelessly connected with the background server and comprises closed venue on-site monitoring equipment and open venue on-site monitoring equipment, wherein,
the closed venue field monitoring device includes: the system comprises a processor, a video monitoring device, a human body infrared pyroelectric sensor and a first wireless communication module, wherein the video monitoring device, the human body infrared pyroelectric sensor and the first wireless communication module are respectively electrically connected with the processor; the processor is used for calculating the current pedestrian volume of the closed venue according to signals sent by the video monitoring device and the human body infrared pyroelectric sensor and sending the pedestrian volume to the background server;
the open site on-site monitoring apparatus includes: the controller and a second wireless communication module, a ticket selling machine and/or a gate opening counter which are respectively and electrically connected with the controller; the controller is used for calculating the current pedestrian flow of the open site according to the signal sent by the ticket vending machine and/or the gate opening counter and sending the current pedestrian flow to the background server;
the user intelligent terminal with the built-in GPS module comprises a mobile phone, a tablet personal computer and/or a notebook computer, a user APP and a WeChat are installed in the user intelligent terminal with the built-in GPS module, and the user intelligent terminal with the built-in GPS module is wirelessly connected with the background server through a wireless communication base station; the user APP is pre-stored with an electronic map and used for receiving the dynamic scoring of the pedestrian flow of the closed venue or the open venue predicted by the background server and displaying the dynamic scoring in the form of the electronic map and/or the list.
After a corresponding relation table of codes of all closed venues and open venues, geographic positions of all closed venues and open venues, safe customer holding capacity and navigation search keyword information is established in a background server, the following steps are executed:
step S1, the background server receives the people flow data packet sent by the closed venue field monitoring equipment, the open venue field monitoring equipment, the wireless communication base station and the user intelligent terminal every other first preset time;
the closed venue field monitoring equipment is used for monitoring the pedestrian flow of the closed venue, wherein a pedestrian flow data packet sent by the closed venue field monitoring equipment carries a code of the closed venue and pedestrian flow information of the closed venue at the current moment; the people flow data packet sent by the open field on-site monitoring equipment carries the code of the open field and the people flow information of the open field at the current moment; the people flow data packet sent by the wireless communication base station carries the information of the number of communication people in the open site position area; the people flow data packet sent by the user intelligent terminal carries user GPS position information and an equipment identification code of the user intelligent terminal;
step S2, the background server analyzes the continuously read people flow information in n personal flow data packets sent by the closed venue field monitoring equipment, and calculates the latest average increase S of the people flow of the closed venue, wherein n is more than or equal to 3;
the background server analyzes n-person flow sent by continuously read open field monitoring equipmentN personal flow information in the data packet, and calculating the latest average increment of the personal flow of the open site
The background server analyzes the continuously read number information of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station and calculates the latest average increment of the number of the people in the open site
The background server analyzes continuously read user GPS position information in n personal flow data packets sent by the user intelligent terminal and the equipment identification code of the user intelligent terminal so as to count the number information of communication people in the open field position area and calculate the latest average increment of the open field pedestrian flow
Step S3, after the user APP receives the navigation search keyword input by the user, the GPS module calculates the time u required by the user to operate from the current position to the target closed venue or the open venue and sends the time u to the background server, so that the background server calculates the predicted people flow increment when the user reaches the target closed venue
Or the predicted people flow increment delta z when the user arrives at the target open field is (delta q + delta r + delta t)/3, wherein,
step S4, the background server according to formula Smax＝smin+ Delta S, calculating the estimated pedestrian flow S when the user arrives at the target closed venuemaxOr according to the formula Zmax＝zmin+ delta Z, calculating the estimated pedestrian flow Z when the user arrives at the target open sitemax；
Wherein s isminClosing the actual pedestrian volume of the venue for the target at the current moment; z is a radical ofminActual flow of people, z, for the open field of the target at the current momentmin＝(qmin+rmin+tmin)/3，qminThe actual pedestrian volume of the target open field is calculated at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the wireless communication base station; r isminCalculating the actual pedestrian volume of the target open field at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the intelligent user terminal; t is tminCalculating the actual pedestrian flow of the target open site at the current moment according to the pedestrian flow information in the pedestrian flow data packet sent by the open site on-site monitoring equipment;
step S5, the background server according to formula Y1＝SmaxThe people flow dynamic score Y when the user arrives at the target closed venue is predicted by the method of the following steps1Or according to formula Y2＝ZmaxThe people flow dynamic score Y when the user arrives at the target closed venue is predicted by the method of the following steps2And is combined with Y1Or Y2Sending the user APP to enable the user APP to dynamically score the people flow Y in the form of an electronic map and/or a list1Or Y2And displaying.
Preferably, the intelligent diversion method for pedestrian flow in public places further includes:
step S6, if Y1More than or equal to 0.85, marking the closed venue as a temporary saturation state by the user APP, and displaying the closed venue in the form of an electronic map and/or a list, if Y is greater than or equal to 0.852The APP of the user marks the open site as a temporary saturation state and displays the open site in the form of an electronic map and/or a list;
step S7, the background server changes the first preset duration into a second preset duration, and the step S1 is returned until the Y is reached1Less than or equal to 0.7 or Y2Less than or equal to 0.7; and the second preset time length is less than the first preset time length.
Preferably, the intelligent diversion method for pedestrian flow in public places further includes:
step S8, if the target closed venue or open venue selected by the user reaches a temporary saturation state, the background server pushes three alternative closed venues or open venues closest to the current position of the user to the user APP, and meanwhile, the step S1 is returned to calculate the people flow dynamic scores Ya, Yb and Yc of the three alternative closed venues or open venues and send the people flow dynamic scores Ya, Yb and Yc to the user APP;
and S9, sequencing Ya, Yb and Yc from small to large by the user APP, and recommending a closed venue or an open venue corresponding to the first two people flow dynamic scores for the user.
Preferably, the step S2 is calculated according to the following steps
The background server analyzes continuously read pedestrian flow information in n personal flow data packets sent by the closed venue field monitoring equipment and sends the pedestrian flow information according to a formula
Calculating the latest average increment of the pedestrian flow of the closed venue
n≥3。
Preferably, the step S2 is calculated according to the following steps
The background server analyzes the continuously read number information q of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station1、q2...qnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the step S2 is calculated according to the following steps
The background server analyzes continuously read GPS position information of the user and equipment identification codes of the user intelligent terminal in n personal flow data packets sent by the user intelligent terminal so as to count the number information r of the communication people in the open site position area1、r2...rnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the step S2 is calculated according to the following steps
The background server analyzes n personal flow information t in n personal flow data packets sent by continuously read open field monitoring equipment1、t2...tnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the first preset time period is 5 minutes, and the second preset time period is 3 minutes.
Preferably, n is 3.
By adopting the technical scheme, the invention at least has the following beneficial effects:
according to the technical scheme, the background server can receive the people flow data packet sent by the closed venue field monitoring equipment, the open venue field monitoring equipment, the wireless communication base station and the user intelligent terminal, predict the people flow when the user arrives at the target closed venue or the open venue, and the user APP can receive the predicted people flow of the target closed venue or the open venue predicted by the background server, dynamically score the people flow and display the people flow in the form of the pre-stored electronic map and/or list. According to the technical scheme provided by the invention, before the user goes to the target closed venue or open venue, the user can be helped to predict the flow of people when the user arrives at the target closed venue or open venue, the saturation degree is pre-judged, the user is guided to shunt, meanwhile, a proper consumption venue or venue can be recommended for the user, a travel reference is provided for the user, and the user experience is improved. Meanwhile, the trample event caused by overlarge pedestrian flow can be avoided, the trip safety factor of a user is improved, and the problem that public facility resources cannot be reasonably and efficiently utilized due to uneven pedestrian flow distribution in public places in the prior art is solved.
In addition, the intelligent flow rate distribution system and method for the people in the public places, provided by the invention, have the advantages that different data sources of closed venues and open venues are collected, and the average calculation is carried out on multiple data sources, so that the data prediction result is more accurate compared with one data source.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of an intelligent diversion system for pedestrian flow in a public place according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Referring to fig. 1, an embodiment of the present invention provides an intelligent diversion system for people flow in public places, including: the system comprises an on-site monitoring device 1, a background server 2 and a user intelligent terminal 3 with a built-in GPS module, wherein,
the field monitoring device 1 is wirelessly connected with the background server 2, and comprises a closed venue field monitoring device 11 and an open venue field monitoring device 12, wherein,
the closed venue field monitoring apparatus 11 includes: the system comprises a processor, a video monitoring device, a human body infrared pyroelectric sensor and a first wireless communication module, wherein the video monitoring device, the human body infrared pyroelectric sensor and the first wireless communication module are respectively electrically connected with the processor; the processor is used for calculating the current pedestrian volume of the closed venue according to signals sent by the video monitoring device and the human body infrared pyroelectric sensor and sending the pedestrian volume to the background server 2;
the open site field monitoring device 12 includes: the controller and a second wireless communication module, a ticket selling machine and/or a gate opening counter which are respectively and electrically connected with the controller; the controller is used for calculating the current pedestrian volume of the open site according to the signal sent by the ticket vending machine and/or the gate opening counter and sending the current pedestrian volume to the background server 2;
the user intelligent terminal 3 with the built-in GPS module comprises a mobile phone, a tablet personal computer and/or a notebook computer, a user APP and a WeChat are installed in the user intelligent terminal 3 with the built-in GPS module, and the user intelligent terminal 3 with the built-in GPS module is wirelessly connected with the background server 2 through a wireless communication base station 4; the user APP is pre-stored with an electronic map and used for receiving the dynamic scoring of the pedestrian flow of the closed venue or the open venue predicted by the background server 2 and displaying the dynamic scoring in the form of the electronic map and/or the list.
In addition, the invention also provides a method for intelligently shunting the pedestrian flow in the public places by using the system, which comprises the following steps of establishing a corresponding relation table of codes of all closed venues and open venues, geographic positions of all closed venues and open venues, safe customer holding capacity and navigation search keyword information in a background server:
step S1, the background server receives the people flow data packet sent by the closed venue field monitoring equipment, the open venue field monitoring equipment, the wireless communication base station and the user intelligent terminal every other first preset time;
the closed venue field monitoring equipment is used for monitoring the pedestrian flow of the closed venue, wherein a pedestrian flow data packet sent by the closed venue field monitoring equipment carries a code of the closed venue and pedestrian flow information of the closed venue at the current moment; the people flow data packet sent by the open field on-site monitoring equipment carries the code of the open field and the people flow information of the open field at the current moment; the people flow data packet sent by the wireless communication base station carries the information of the number of communication people in the open site position area; the people flow data packet sent by the user intelligent terminal carries user GPS position information and an equipment identification code of the user intelligent terminal;
step S2, the background server analyzes the continuously read people flow information in the n personal flow data packets sent by the closed venue field monitoring equipment, and calculates the latest average increment of the people flow of the closed venue
n≥3；
The background server analyzes the continuously read n personal flow information in the n personal flow data packets sent by the open field on-site monitoring equipment and calculates the latest average increment of the open field flow
The background server analyzes the continuously read number information of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station and calculates the latest average increment of the number of the people in the open site
The background server analyzes continuously read user GPS position information in n personal flow data packets sent by the user intelligent terminal and the equipment identification code of the user intelligent terminal so as to count the number information of communication people in the open field position area and calculate the latest average increment of the open field pedestrian flow
Step S3, after the user APP receives the navigation search keyword input by the user, the GPS module calculates the time u required by the user to operate from the current position to the target closed venue or the open venue and sends the time u to the background server, so that the background server calculates the predicted people flow increment when the user reaches the target closed venue
Or the predicted people flow increment delta z when the user arrives at the target open field is (delta q + delta r + delta t)/3, wherein,
step S4, the background server according to formula Smax＝smin+ Delta S, calculating the estimated pedestrian flow S when the user arrives at the target closed venuemaxOr according to the formula Zmax＝zmin+ delta Z, calculating the estimated pedestrian flow Z when the user arrives at the target open sitemax；
Wherein s isminClosing the actual pedestrian volume of the venue for the target at the current moment; z is a radical ofminActual flow of people, z, for the open field of the target at the current momentmin＝(qmin+rmin+tmin)/3，qminThe actual pedestrian volume of the target open field is calculated at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the wireless communication base station; r isminCalculating the actual pedestrian volume of the target open field at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the intelligent user terminal; t is tminCalculating the actual pedestrian flow of the target open site at the current moment according to the pedestrian flow information in the pedestrian flow data packet sent by the open site on-site monitoring equipment;
step S5, the background server according to formula Y1＝SmaxThe people flow dynamic score Y when the user arrives at the target closed venue is predicted by the method of the following steps1Or according to formula Y2＝ZmaxThe people flow dynamic score Y when the user arrives at the target closed venue is predicted by the method of the following steps2And is combined with Y1Or Y2Sending the user APP to enable the user APP to dynamically score the people flow Y in the form of an electronic map and/or a list1Or Y2And displaying.
Preferably, the intelligent diversion method for pedestrian flow in public places further includes:
step S6, if Y1More than or equal to 0.85, marking the closed venue as a temporary saturation state by the user APP, and displaying the closed venue in the form of an electronic map and/or a list, if Y is greater than or equal to 0.852The APP of the user marks the open site as a temporary saturation state and displays the open site in the form of an electronic map and/or a list;
step S7, the background server changes the first preset duration into a second preset duration, and the step S1 is returned until the Y is reached1Less than or equal to 0.7 or Y2Less than or equal to 0.7; and the second preset time length is less than the first preset time length.
Preferably, the intelligent diversion method for pedestrian flow in public places further includes:
step S8, if the target closed venue or open venue selected by the user reaches a temporary saturation state, the background server pushes three alternative closed venues or open venues closest to the current position of the user to the user APP, and meanwhile, the step S1 is returned to calculate the people flow dynamic scores Ya, Yb and Yc of the three alternative closed venues or open venues and send the people flow dynamic scores Ya, Yb and Yc to the user APP;
and S9, sequencing Ya, Yb and Yc from small to large by the user APP, and recommending a closed venue or an open venue corresponding to the first two people flow dynamic scores for the user.
Preferably, the step S2 is calculated according to the following steps
The background server analyzes continuously read pedestrian flow information in n personal flow data packets sent by the closed venue field monitoring equipment and sends the pedestrian flow information according to a formula
Calculating the latest average increment of the pedestrian flow of the closed venue
n≥3。
Preferably, the step S2 is calculated according to the following steps
The background server analyzes the continuously read number information q of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station1、q2...qnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the step S2 is calculated according to the following steps
The background server analyzes continuously read GPS position information of the user and equipment identification codes of the user intelligent terminal in n personal flow data packets sent by the user intelligent terminal so as to count the number information r of the communication people in the open site position area1、r2...rnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the step S2 is calculated according to the following steps
The background server analyzes n personal flow information t in n personal flow data packets sent by continuously read open field monitoring equipment1、t2...tnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
Preferably, the first preset time period is 5 minutes, and the second preset time period is 3 minutes.
Preferably, n is 3.
It can be understood that: monitoring the flow of people in a closed venue:
video monitoring is utilized, a thermal sensing element is arranged, and the equipment is placed above a closed venue people flow concentration site. The video monitoring equipment monitors the motion trail of people stream in an image acquisition range, identifies objects in motion through a thermal sensing element, is used as a basis for closed venue people flow statistics, and uploads the objects to the background server every first preset time or second preset time; after 5 minutes, the device again monitors the traffic in the closed venue, uploads to the backend server … … and so on.
Monitoring the flow of people in an open field:
the open field adopts multi-party data comprehensive analysis, and on one hand, base station signals from mobile phone operators in the geographical position area of the open field are fed back. Namely, the consumer is in the range of the field and inevitably carries the mobile phone communication equipment. Generally speaking, as long as the device is powered on, signals are transmitted to base stations of surrounding mobile phone operators at any time. And the relevant identification codes of the SIM cards are all unique, and because the positioning of the base station signals is not completely exact, data from WeChat or user App in the field needs to be collected. In terms of WeChat, according to the development situation of Internet communication, WeChat has almost been the main communication tool in people's daily life. When the WeChat is opened, the product calls a built-in GPS module of the mobile phone to position the position of the user, and even when data is sent, the position exposure is generated once. And finally, taking the number of tickets sold in the field or the opening times of the gate as a data source of a third part to upload the data source to a background server so as to predict the flow of people in the open field.
According to the technical scheme, the background server can receive the people flow data packet sent by the closed venue field monitoring equipment, the open venue field monitoring equipment, the wireless communication base station and the user intelligent terminal, predict the people flow when the user arrives at the target closed venue or the open venue, and the user APP can receive the predicted people flow of the target closed venue or the open venue predicted by the background server, dynamically score the people flow and display the people flow in the form of the pre-stored electronic map and/or list. According to the technical scheme provided by the invention, before the user goes to the target closed venue or open venue, the user can be helped to predict the flow of people when the user arrives at the target closed venue or open venue, the saturation degree is pre-judged, the user is guided to shunt, meanwhile, a proper consumption venue or venue can be recommended for the user, a travel reference is provided for the user, and the user experience is improved. Meanwhile, the trample event caused by overlarge pedestrian flow can be avoided, the trip safety factor of a user is improved, and the problem that public facility resources cannot be reasonably and efficiently utilized due to uneven pedestrian flow distribution in public places in the prior art is solved.
In addition, the intelligent flow rate distribution system and method for the people in the public places, provided by the invention, have the advantages that different data sources of closed venues and open venues are collected, and the average calculation is carried out on multiple data sources, so that the data prediction result is more accurate compared with one data source.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims. The terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" means two or more unless expressly limited otherwise.
Claims (9)
1. A public place pedestrian flow intelligent distribution method based on a public place pedestrian flow intelligent distribution system is characterized in that after a corresponding relation table of codes of all closed venues and open venues, geographic positions of all closed venues and open venues, safe customer holding capacity and navigation search keyword information is established in a background server, the following steps are executed:
step S1, the background server receives the people flow data packet sent by the closed venue field monitoring equipment, the open venue field monitoring equipment, the wireless communication base station and the user intelligent terminal every other first preset time;
the closed venue field monitoring equipment is used for monitoring the pedestrian flow of the closed venue, wherein a pedestrian flow data packet sent by the closed venue field monitoring equipment carries a code of the closed venue and pedestrian flow information of the closed venue at the current moment; the people flow data packet sent by the open field on-site monitoring equipment carries the code of the open field and the people flow information of the open field at the current moment; the people flow data packet sent by the wireless communication base station carries the information of the number of communication people in the open site position area; the people flow data packet sent by the user intelligent terminal carries user GPS position information and an equipment identification code of the user intelligent terminal;
step S2, the background server analyzes the continuously read people flow information in the n personal flow data packets sent by the closed venue field monitoring equipment, and calculates the latest average increment of the people flow of the closed venue
n≥3；
The background server analyzes the continuously read n personal flow information in the n personal flow data packets sent by the open field on-site monitoring equipment and calculates the latest average increment of the open field flow
The background server analyzes the continuously read number information of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station and calculates the latest average increment of the number of the people in the open site
The background server analyzes continuously read user GPS position information in n personal flow data packets sent by the user intelligent terminal and the equipment identification code of the user intelligent terminal so as to count the number information of communication people in the open field position area and calculate the latest average increment of the open field pedestrian flow
Step S3, after the user APP receives the navigation search keyword input by the user, the GPS module calculates the userThe time u required by running from the current position to the target closed venue or the open venue is sent to the background server, so that the background server calculates the predicted people flow increment of the user reaching the target closed venue
Or the predicted people flow increment delta z when the user arrives at the target open field is (delta q + delta r + delta t)/3, wherein,
step S4, the background server according to formula Smax＝smin+ Delta S, calculating the estimated pedestrian flow S when the user arrives at the target closed venuemaxOr according to the formula Zmax＝zmin+ delta Z, calculating the estimated pedestrian flow Z when the user arrives at the target open sitemax；
Wherein s isminClosing the actual pedestrian volume of the venue for the target at the current moment; z is a radical ofminActual flow of people, z, for the open field of the target at the current momentmin＝(qmin+rmin+tmin)/3，qminThe actual pedestrian volume of the target open field is calculated at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the wireless communication base station; r isminCalculating the actual pedestrian volume of the target open field at the current moment according to the pedestrian volume information in the pedestrian volume data packet sent by the intelligent user terminal; t is tminCalculating the actual pedestrian flow of the target open site at the current moment according to the pedestrian flow information in the pedestrian flow data packet sent by the open site on-site monitoring equipment;
step S5, the background server according to formula Y1＝SmaxThe people flow dynamic score Y when the user arrives at the target closed venue is predicted by the method of the following steps1Or according to formula Y2＝ZmaxThe people flow dynamic score Y when the user arrives at the target open field is predicted by x2And is combined with Y1Or Y2Sending the data to a user APP so that the user APP can pass through an electronic map and/or a listDynamic scoring of the traffic Y1Or Y2Displaying;
wherein, public place flow of people intelligence reposition of redundant personnel system includes: the system comprises an on-site monitoring device, a background server and a user intelligent terminal with a built-in GPS module, wherein,
the on-site monitoring equipment is wirelessly connected with the background server and comprises closed venue on-site monitoring equipment and open venue on-site monitoring equipment, wherein,
the closed venue field monitoring device includes: the system comprises a processor, a video monitoring device, a human body infrared pyroelectric sensor and a first wireless communication module, wherein the video monitoring device, the human body infrared pyroelectric sensor and the first wireless communication module are respectively electrically connected with the processor; the processor is used for calculating the current pedestrian volume of the closed venue according to signals sent by the video monitoring device and the human body infrared pyroelectric sensor and sending the pedestrian volume to the background server;
the open site on-site monitoring apparatus includes: the controller and a second wireless communication module, a ticket selling machine and/or a gate opening counter which are respectively and electrically connected with the controller; the controller is used for calculating the current pedestrian flow of the open site according to the signal sent by the ticket vending machine and/or the gate opening counter and sending the current pedestrian flow to the background server;
the user intelligent terminal with the built-in GPS module comprises a mobile phone, a tablet personal computer and/or a notebook computer, a user APP and a WeChat are installed in the user intelligent terminal with the built-in GPS module, and the user intelligent terminal with the built-in GPS module is wirelessly connected with the background server through a wireless communication base station; the user APP is pre-stored with an electronic map and used for receiving the dynamic scoring of the pedestrian flow of the closed venue or the open venue predicted by the background server and displaying the dynamic scoring in the form of the electronic map and/or the list.
2. The intelligent public place people flow diversion method according to claim 1, further comprising:
step S6, if Y1More than or equal to 0.85, marking the closed venue as a temporary saturation state by the user APP and passing through an electronic mapAnd/or a list of Y' s2The APP of the user marks the open site as a temporary saturation state and displays the open site in the form of an electronic map and/or a list;
step S7, the background server changes the first preset duration into a second preset duration, and the step S1 is returned until the Y is reached1Less than or equal to 0.7 or Y2Less than or equal to 0.7; and the second preset time length is less than the first preset time length.
3. The intelligent public place people flow diversion method according to claim 2, further comprising:
step S8, if the target closed venue or open venue selected by the user reaches a temporary saturation state, the background server pushes three alternative closed venues or open venues closest to the current position of the user to the user APP, and meanwhile, the step S1 is returned to calculate the people flow dynamic scores Ya, Yb and Yc of the three alternative closed venues or open venues and send the people flow dynamic scores Ya, Yb and Yc to the user APP;
and S9, sequencing Ya, Yb and Yc from small to large by the user APP, and recommending a closed venue or an open venue corresponding to the first two people flow dynamic scores for the user.
4. The intelligent public traffic flow diversion method according to claim 1, wherein S is calculated in step S2 according to the following steps:
the background server analyzes continuously read pedestrian flow information s in n personal flow data packets sent by the closed venue field monitoring equipment1、s2、...、snAccording to the formula
Calculating the latest average increment of the pedestrian flow of the closed venue
n≥3。
5. The intelligent public traffic flow diversion method according to claim 4, wherein the calculation in step S2 is performed according to the following steps
The background server analyzes the continuously read number information q of the communication people in the open site position area in the n number of people flow data packets sent by the wireless communication base station1、q2、...、qnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
6. The intelligent public traffic flow diversion method according to claim 5, wherein the calculation in step S2 is performed according to the following steps
The background server analyzes continuously read GPS position information of the user and equipment identification codes of the user intelligent terminal in n personal flow data packets sent by the user intelligent terminal so as to count the number information r of the communication people in the open site position area1、r2、...、rnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
7. The method of claim 6The intelligent flow distribution method for the people flow in the public places is characterized in that in the step S2, the people flow is calculated according to the following steps
The background server analyzes n personal flow information t in n personal flow data packets sent by continuously read open field monitoring equipment1、t2、...、tnAccording to the formula
Calculating the latest average increment of the pedestrian flow of the open field
8. The intelligent public place people flow diversion method according to claim 2, wherein the first preset time period is 5 minutes, and the second preset time period is 3 minutes.
9. The intelligent public place people flow diversion method according to claim 2, wherein n is 3.
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