CN111291652A - System and method for statistical analysis of human flow in scenic spot based on candle picture - Google Patents
System and method for statistical analysis of human flow in scenic spot based on candle picture Download PDFInfo
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- CN111291652A CN111291652A CN202010070394.3A CN202010070394A CN111291652A CN 111291652 A CN111291652 A CN 111291652A CN 202010070394 A CN202010070394 A CN 202010070394A CN 111291652 A CN111291652 A CN 111291652A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
Abstract
The invention discloses a candle-diagram-based scenic spot pedestrian flow statistical analysis system, which comprises a scenic spot front-end acquisition system, a big data platform and a mobile client, wherein the scenic spot front-end acquisition system acquires pedestrian flow of all entrances and exits in a scenic spot in real time and uploads acquired video stream data to the big data platform; the big data platform performs statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client; the invention also discloses a statistical analysis method of the system for statistical analysis of the pedestrian flow in the scenic spot based on the candle picture, and the system can easily observe the change condition of the pedestrian flow in the scenic spot in unit time (day, week, hour or minute), thereby facilitating the user to make a more reasonable and detailed travel plan.
Description
Technical Field
The invention relates to the technical field of people flow statistics, in particular to a system and a method for the people flow statistical analysis in scenic spots based on candle pictures.
Background
Most of people flow statistical systems in scenic spots in the current market carry out statistical analysis based on the total amount in unit time, or obtain congestion information of the scenic spots in a real-time live broadcast mode, cannot make a detailed trip plan of a trip in a certain time period before the trip, and cannot reasonably plan trip time.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a system and a method for counting and analyzing the pedestrian flow in a scenic spot based on a candle map.
In order to achieve the purpose, the invention adopts the technical scheme that: the utility model provides a scenic spot people flow statistics analytic system based on candle picture, includes front end collection system, big data platform and mobile client in the scenic spot, wherein:
the front-end acquisition system in the scenic spot adopts a statistical method based on video stream to acquire the pedestrian flow of all entrances and exits in the scenic spot in real time and uploads the acquired video stream data to a big data platform;
the big data platform performs statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a hatched entity; if the data of the flow rate of people at the beginning in the unit time is smaller than the data of the flow rate of people at the end, the entity of the candle picture is a positive line entity.
As a preferred embodiment, each entrance and exit of a scenic spot are provided with the front-end acquisition system in the scenic spot, and the big data platform uses the people flow videos collected from all entrances and exits in the scenic spot to count the real-time people flow data in the scenic spot.
As another preferred embodiment, the mobile client statistically plots the candle in units of time of day, week, hour or minute.
As another preferred embodiment, the mobile client is a mobile phone client.
The invention also discloses a statistical analysis method adopting the statistical analysis system, which comprises the following steps:
step 1, a front-end acquisition system in a scenic spot acquires the pedestrian flow of all entrances and exits in the scenic spot in real time by adopting a statistical method based on video stream data, and uploads the acquired video stream data to a big data platform;
step 2, the big data platform carries out statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
step 3, the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a negative entity; if the data of the pedestrian volume at the beginning in the unit time is smaller than the data of the pedestrian volume at the end, the entity of the candle picture is a positive line entity;
and 4, observing the change situation of the pedestrian volume in the scenic spot in unit time by the user through the mobile client, and making a detailed travel plan.
The invention has the beneficial effects that:
the candle chart statistical chart is drawn according to the people flow data at the beginning, the people flow data at the end, the data at the time of the maximum people flow and the data at the minimum people flow in unit time, the change of the people flow in a specific period (day, week, hour or minute) can be seen more easily according to the result chart, the change situation (from changeable to changeable or from changeable to changeable) of the people flow in unit time can be judged easily, more detailed travel time can be planned well, the peak period of the people flow is avoided, and a more reasonable and detailed travel plan is made.
Drawings
Fig. 1 is a system block diagram of a statistical analysis system according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Examples
As shown in fig. 1, a scenic spot pedestrian flow statistical analysis system based on candle picture, includes front end collection system, big data platform and mobile client in the scenic spot, and front end collection system uploads the video of gathering to big data platform in the scenic spot, and mobile client obtains the pedestrian flow information from big data platform, specifically:
the method comprises the steps that an intra-scenic-area front-end acquisition system acquires the pedestrian flow of all entrances and exits in a scenic area in real time by adopting a video-stream-based statistical method, and uploads the acquired video flow data to a big data platform, the intra-scenic-area front-end acquisition system is arranged at each entrance and each exit of the scenic area, and the big data platform utilizes the pedestrian flow videos collected from all the entrances and exits in the scenic area to count the real-time pedestrian flow data in the scenic area;
the big data platform performs statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a hatched entity; if the data of the flow of people at the beginning in the unit time is smaller than the data of the flow of people at the end, the entity of the candle drawing is an anode entity, and the mobile client can draw the candle drawing in statistics by taking the day, week, hour or minute as the unit time according to specific requirements.
The embodiment also discloses a statistical analysis method using the statistical analysis system, which comprises the following steps:
step 1, a front-end acquisition system in a scenic spot acquires the pedestrian volume of all entrances and exits in the scenic spot in real time by adopting a statistical method based on video stream data, and uploads the acquired video stream data to a big data platform, the front-end acquisition system in the scenic spot is arranged at each entrance and each exit of the scenic spot, and the big data platform utilizes the pedestrian volume video collected from all the entrances and exits in the scenic spot to count the real-time pedestrian volume data in the scenic spot;
step 2, the big data platform carries out statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
step 3, the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a negative entity; if the data of the initial pedestrian volume is smaller than the ending pedestrian volume in unit time, the entity of the candle drawing is a positive line entity, and the mobile client can draw the candle drawing in statistics by taking day, week, hour or minute as unit time according to specific requirements;
and 4, observing the change situation of the pedestrian volume in the scenic spot in unit time by the user through the mobile client, and making a detailed travel plan.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (5)
1. The utility model provides a people flow statistics analytic system in scenic spot based on candle picture which characterized in that, includes front end collection system, big data platform and mobile client in the scenic spot, wherein:
the front-end acquisition system in the scenic spot adopts a statistical method based on video stream to acquire the pedestrian flow of all entrances and exits in the scenic spot in real time and uploads the acquired video stream data to a big data platform;
the big data platform performs statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a hatched entity; if the data of the flow rate of people at the beginning in the unit time is smaller than the data of the flow rate of people at the end, the entity of the candle picture is a positive line entity.
2. The candle-diagram-based scenic spot pedestrian flow statistical analysis system according to claim 1, wherein the scenic spot front-end acquisition system is provided at each entrance and exit of the scenic spot, and the big data platform uses pedestrian flow video collected from all entrances and exits of the scenic spot to count real-time pedestrian flow data in the scenic spot.
3. The candle-map-based scenic spot people traffic statistical analysis system of claim 1, wherein the mobile client statistically plots candle maps in units of days, weeks, hours, or minutes.
4. The candle diagram based scenic spot people flow statistical analysis system of claim 1, wherein the mobile client is a mobile phone client.
5. A statistical analysis method using the statistical analysis system according to any one of claims 1 to 4, comprising the steps of:
step 1, a front-end acquisition system in a scenic spot acquires the pedestrian flow of all entrances and exits in the scenic spot in real time by adopting a statistical method based on video stream data, and uploads the acquired video stream data to a big data platform;
step 2, the big data platform carries out statistical analysis on the collected video stream data, and provides the start people flow data, the end people flow data, the maximum people flow data and the minimum people flow data in unit time for the mobile client;
step 3, the mobile client acquires data required for drawing the candle drawing from the big data platform, and if the pedestrian volume data at the beginning in unit time is larger than the pedestrian volume at the end, the entity of the candle drawing is a negative entity; if the data of the pedestrian volume at the beginning in the unit time is smaller than the data of the pedestrian volume at the end, the entity of the candle picture is a positive line entity;
and 4, observing the change situation of the pedestrian volume in the scenic spot in unit time by the user through the mobile client, and making a detailed travel plan.
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