CN114155629A - Exhibition people flow monitoring system and method - Google Patents
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Abstract
The invention discloses a system and a method for monitoring exhibitions people flow, which relate to the technical field of computers, and the system comprises: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; the data transmission unit is used for sending the acquired data; the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human foot to obtain the human flow data; the data output unit is used for feeding back the processed people flow data to the outside; the intelligent and accurate people stream monitoring is realized by identifying the human footprint and collecting and processing pressure data.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a system and a method for monitoring exhibitions people stream.
Background
In the current society, along with the gradual increase of population and population mobility, the passenger flow volume statistics in public places usually consumes a large amount of manpower, material resources and financial resources, so that a person flow volume automatic detection system based on an FPGA is designed, a brand-new solution idea and a solution are provided for the accurate statistics of the person flow volume in public places, and related departments can carry out efficient and intelligent scheduling management.
In public places with dense people streams, personal safety is the primary problem. Therefore, the real-time monitoring of the people flow and the intelligent resource allocation are very important, the reasonable optimization of the resource utilization are very important, and the people flow detection electronic technology in public places in China is regarded as relative lag in the safety field, for example, no people flow device is recorded in real time in buses, long-distance passenger cars, large-scale shopping malls and large-scale exhibitions. The device can automatically record the number of people in high frequency in real time, and not only plays a role in monitoring excessive passenger carrying of the bus, overload of the bus, queuing and crowding of consumers and the like, but also changes resource allocation and improves operation efficiency.
At present, many methods for calculating the passenger flow are adopted, such as a video method and a photoelectric sensing mode, a video passenger flow statistical system has higher precision, but the video passenger flow statistical system has more equipment, large power consumption and high cost, and causes greater pressure on a large number of applications. The photoelectric sensing mode adopts a 'plane type' detection method, namely, the detected signal is simply identified by 'existence' or 'nonexistence'. The planar detection method has a certain reference value under the condition that the passenger flow volume is loose, but at the peak of the passenger flow volume, the conditions that people are crowded and shielded from each other occur greatly due to the fact that the passenger flow volume is dense, and at the moment, the planar detection method is difficult to distinguish, so that the passenger flow volume statistics has a large error. In addition, the people flow through the entrance and exit in various situations, such as entrance and exit pause, large articles carried, etc., and the prior detection technology device is difficult to identify the situations more accurately. .
Disclosure of Invention
In view of this, the present invention provides a system and a method for monitoring exhibitions people flow, which realizes intellectualization and precision of people flow monitoring by identifying human footprints and collecting and processing pressure data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a system for monitoring exhibitions people flow, the system comprising: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; the data transmission unit is used for sending the acquired data; the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human foot to obtain the human flow data; the data output unit is used for feeding back the processed people flow data to the outside; the data acquisition unit includes: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
Furthermore, the power module is connected with an electric storage device, and a solar panel is arranged in the electric storage device.
Further, the data processing unit includes: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
Further, the data reduction unit performs data reduction processing, including: removing an average value, calculating a covariance matrix, calculating an eigenvalue and an eigenvector of the covariance matrix, sorting the eigenvalues from large to small, reserving the largest eigenvector, and converting data into a new space constructed by the eigenvector; finally, new processed data are obtained, and the data are irrelevant pairwise, but the original information can be kept.
A method of exhibitions people stream monitoring, the method performing the steps of: step 1: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; step 2: the data transmission unit is used for transmitting the acquired data; and step 3: the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human feet to obtain the human flow data; and 4, step 4: and the data output unit is used for feeding back the processed people flow data to the outside.
Further, the data acquisition unit includes: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
Furthermore, the power module is connected with an electric storage device, and a solar panel is arranged in the electric storage device.
Further, the data processing unit includes: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
Compared with the prior art, the invention has the following beneficial effects: the intelligent and accurate people stream monitoring is realized by identifying the human footprint and collecting and processing pressure data.
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The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a schematic system structure diagram of a system for monitoring exhibitions people flow according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for monitoring exhibitions people flow according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only configured to match the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not configured to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and achievable purpose of the present invention. In addition, the terms such as "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not configured to limit the scope of the present invention, and changes or modifications of the relative relationship may be made without substantial technical changes and modifications.
Example 1
As shown in fig. 1, a system for monitoring exhibitions people flow, the system comprising: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; the data transmission unit is used for sending the acquired data; the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human foot to obtain the human flow data; the data output unit is used for feeding back the processed people flow data to the outside; the data acquisition unit includes: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
By adopting the technical scheme, data acquisition, also called data acquisition, is realized by utilizing a device to acquire data from the outside of the system and input the data into an interface in the system. Data acquisition techniques are widely used in various fields. Such as a camera and a microphone, are data acquisition tools.
The collected data are various physical quantities such as temperature, water level, wind speed, pressure, etc. which have been converted into electrical signals, and may be analog quantities or digital quantities. The acquisition is generally a sampling mode, that is, the same point data is repeatedly acquired at certain time intervals (called sampling period). The acquired data are mostly instantaneous values, but also characteristic values within a certain period of time. Accurate data measurements are the basis for data acquisition. The data measurement method includes contact and non-contact, and the detection elements are various. No matter which method and element, the data correctness is ensured on the premise of not influencing the state of the object to be measured and the measurement environment. The data collection is very broad, and comprises the collection of planar continuous physical quantities. In computer-aided drawing, mapping, designing, the process of digitizing a graphic or image may also be referred to as data acquisition, where geometric (or physical, e.g., grayscale) data is acquired.
Example 2
In addition to the above embodiment, the power module is connected to an electrical storage device, and the electrical storage device is provided with a solar panel.
Example 3
On the basis of the above embodiment, the data processing unit includes: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
Specifically, there are two main approaches to data reduction: attribute selection and data sampling, for attributes and records in the original dataset, respectively.
Assume that data is selected for analysis at the company's data warehouse. So that the data set will be very large. Complex data analysis buckle mining on massive data would take a long time, making such analysis impractical or infeasible.
Data reduction techniques may be used to obtain a reduced representation of a data set that, while small, substantially maintains the integrity of the original data. In this way, mining on the reduced data set will be more efficient and produce the same (or nearly the same) analysis results.
Example 4
On the basis of the above embodiment, the data reduction unit performs data reduction processing, and includes: removing an average value, calculating a covariance matrix, calculating an eigenvalue and an eigenvector of the covariance matrix, sorting the eigenvalues from large to small, reserving the largest eigenvector, and converting data into a new space constructed by the eigenvector; finally, new processed data are obtained, and the data are irrelevant pairwise, but the original information can be kept.
In particular, for small or medium data sets, a general data preprocessing step is sufficient. But for truly large datasets, it is more likely that an intermediate, additional step-data reduction-will be taken before data mining techniques are applied. The subject of simplifying the data in this step is dimensional reduction, the main question being whether these prepared and preprocessed data can be discarded without sacrificing the quality of the result, whether the prepared data and the established subset can be checked in a reasonable amount of time and space.
Description of data, selection of features, reduction or conversion are the most important issues in determining the quality of data mining schemes. In practice, the number of features can reach hundreds, and if we only need hundreds of samples for analysis, dimension reduction is needed to excavate a reliable model; on the other hand, the high dimensionality causes data overload, which makes some data mining algorithms impractical, the only way to do dimension reduction. The 3 major dimensions of the preprocessed data set typically appear in the form of flat files: column (feature), row (sample) and feature values, the data reduction process is three basic operations: delete column, delete row, reduce the value in the column.
In preparing for data mining, where standard data reduction operations are performed, we need to know what we get and lose from these operations, a comprehensive comparison and analysis involves the following parameters:
(1) calculating the time: simpler data, i.e., results after data reduction, may reduce the time consumed by data mining.
(2) Prediction/description accuracy: the quality of the model summarized and summarized by the data is measured.
(3) Description of data mining model: the simple description is usually from data reduction so that the model can be better understood.
Example 5
As shown in fig. 2, a method for monitoring exhibitions people flow, the method comprises the following steps: step 1: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; step 2: the data transmission unit is used for transmitting the acquired data; and step 3: the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human feet to obtain the human flow data; and 4, step 4: and the data output unit is used for feeding back the processed people flow data to the outside.
Example 6
On the basis of the above embodiment, the data acquisition unit includes: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
Example 7
In addition to the above embodiment, the power module is connected to an electrical storage device, and the electrical storage device is provided with a solar panel.
Example 8
On the basis of the above embodiment, the data processing unit includes: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage unit and the processing unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative elements, method steps, and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the elements, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register unit, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or unit that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or unit.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. An exhibitions people flow monitoring system, said system comprising: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; the data transmission unit is used for sending the acquired data; the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human foot to obtain the human flow data; the data output unit is used for feeding back the processed people flow data to the outside; the data acquisition unit includes: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
2. The system of claim 1, wherein the power module is connected to an electrical storage device having a solar panel disposed therein.
3. The system of claim 2, wherein the data processing unit comprises: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
4. The system of claim 3, wherein said data reduction unit performs data reduction processing, comprising: removing an average value, calculating a covariance matrix, calculating an eigenvalue and an eigenvector of the covariance matrix, sorting the eigenvalues from large to small, reserving the largest eigenvector, and converting data into a new space constructed by the eigenvector; finally, new processed data are obtained, and the data are irrelevant pairwise, but the original information can be kept.
5. A method for monitoring the flow of exhibitions people, based on the system of any one of claims 1 to 4, characterized in that it carries out the following steps: step 1: the data acquisition unit is arranged below the ground of the people stream monitoring point and used for acquiring the ground treading condition data of the people stream monitoring point; step 2: the data transmission unit is used for transmitting the acquired data; and step 3: the data processing unit is used for receiving the acquired data from the data transmission unit, analyzing and processing the data, and identifying and counting the human foot prints by utilizing the characteristics of the front tip, the back circle, the front narrow and the back wide of the human feet to obtain the human flow data; and 4, step 4: and the data output unit is used for feeding back the processed people flow data to the outside.
6. The method of claim 5, wherein the data acquisition unit comprises: the power supply module is connected with the central controller, the central controller is respectively connected with the clock circuit, the alarm module, the wireless module, the storage module, the signal conditioning module and the detection module, the signal conditioning module is respectively connected with the first pressure sensor and the second pressure sensor, and the first pressure sensor and the second pressure sensor are respectively connected with the detection module.
7. The method of claim 6, wherein the power module is connected to an electrical storage device having a solar panel disposed therein.
8. The method of claim 7, wherein the data processing unit comprises: the device comprises a data preprocessing unit and a data analysis unit; the data preprocessing unit includes: the device comprises a preprocessing unit, a data specification unit and a data standardization unit; the data preprocessing unit sequentially performs unique attribute removal, missing value processing and abnormal value detection processing on the data information; the data protocol unit is used for carrying out protocol processing on the data after data preprocessing, so that the data after protocol processing are irrelevant pairwise, but original information is kept; and the data standardization unit scales the data processed by the protocol in proportion to make the data fall into a set interval.
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CN105700415A (en) * | 2014-11-27 | 2016-06-22 | 上海理工大学 | Visitor flow rate monitoring device taking footprints as detection medium and method |
CN204988566U (en) * | 2015-08-04 | 2016-01-20 | 重庆城市管理职业学院 | No linear pressure data acquisition device |
CN105913029A (en) * | 2016-04-14 | 2016-08-31 | 北京中电万联科技股份有限公司 | Visitor flow data analysis, early-warning, and display system |
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