CN112995589A - Big data analysis system based on pedestrian flow statistical data - Google Patents
Big data analysis system based on pedestrian flow statistical data Download PDFInfo
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Abstract
The application discloses big data analysis system based on flow of people statistics, including control module, regional flow of people statistics module, data storage module, data analysis module, warning processing module, communication module and display module, control module and regional flow of people statistics module, data storage module, data analysis module, warning processing module, communication module and the equal electricity of display module are connected, and regional flow of people statistics module is connected with the data storage module electricity, and data analysis module, warning processing module, communication module and the equal electricity of display module are connected each other. The system can analyze the historical people number statistical data and the real-time people number statistical data of the hospital areas in real time, and send out an alarm signal when the data accord with the following three event characteristics, the equipment is online but the statistical data is abnormal, the accumulated error data is overlarge, public health events are burst, the abnormal alarm sensitivity can be adjusted through setting, the daily abnormal events which are not easy to find can be conveniently and timely found, and the response is timely carried out.
Description
Technical Field
The application relates to a big data analysis system based on pedestrian flow statistical data, in particular to a big data analysis system based on pedestrian flow statistical data.
Background
At present, each large hospital or medical institution will carry out physical examination on a large number of patients every day, the flow of people in the hospital or medical institution is getting bigger and bigger, so the situation of full flow of people often occurs, which not only increases the service pressure of the hospital or medical institution, but also has larger potential safety hazard, the term of hospital comes from Latin and is originally intended as "guest", because when the hospital is set up at the beginning, the guest is refuge, and a rest room is provided, so the guest is comfortable and has the intention of reception, and then the hospital gradually becomes a professional institution for meeting the medical needs of human, a service place for accommodating and treating patients, the hospital refers to a medical institution for carrying out necessary services of medical examination, treatment measures, nursing technology, reception service, rehabilitation equipment, rescue transportation and the like for patients according to laws, regulations and industrial specifications, and taking the rescue as the main purpose, the service objects include not only symptomatic patients and wounded persons, but also elderly persons who are unable to take care of themselves or have limited medical care dependence.
The existing big data analysis system is not specially used for analyzing the people flow data of hospital yards, thereby influencing the historical people number data statistics and the real-time people number data statistics of hospitals, being inconvenient to count and observe, and when the data statistics and analysis are carried out, the online statistics data of equipment is abnormal, the accumulated error data is overlarge, and the real-time statistics of data can be influenced by sudden public health events. Therefore, a big data analysis system based on the statistical data of the human flow is proposed aiming at the problems.
Disclosure of Invention
Big data analysis system based on flow of people statistics data, including control module, regional flow of people statistics module, data storage module, data analysis module, warning processing module, communication module and display module, control module all is connected with regional flow of people statistics module, data storage module, data analysis module, warning processing module, communication module and display module electricity, and regional flow of people statistics module is connected with data storage module electricity, and data analysis module, warning processing module, communication module and display module all are connected each other electrically.
Further, the regional people flow rate counting module collects video flow data of a target scene and obtains a video frame image, format conversion is carried out on the video frame image to obtain a target image and label the target image, people flow rate data of the target scene and information data of people in the target region are obtained by analyzing people flow information of a target image sequence according to a target detection tracking algorithm, the information of people comprises the position, the size, the speed, the direction and the color of the people in the target scene, and the people flow rate data of the target region and the information data of the people in the target scene are transmitted to the big data platform.
Furthermore, the data storage module is used for storing people counting data in different time periods and storing the collected people stream information data in a classified manner.
Further, the regional pedestrian volume statistical module is used for receiving a target regional pedestrian volume query request sent by a user terminal, generating a statistical region according to the region, and informing all base stations in the statistical region to perform a user quantity information acquisition action.
Furthermore, the data analysis module is used for analyzing historical data and real-time data in a targeted manner, comparing the real-time data with the historical data, sending an alarm signal when the data accord with a certain alarm model, and sending the alarm signal to the alarm processing module.
Further, the alarm handling module is used for receiving an alarm signal and providing a corresponding handling plan.
Furthermore, the data analysis module continuously analyzes historical data and current real-time data in the same time period in real time according to the obvious data characteristics of the real-time data, and sends out an alarm signal when the trend of the data accords with a certain trend.
Furthermore, the communication module is used for transmitting the real-time data of the people flow statistics to the data storage module, the data analysis module and the alarm processing module and displaying the data through the display module.
Furthermore, the data analysis module carries out comparative analysis on the data when carrying out real-time analysis on the data and the abnormal events, the abnormal events comprise three types of events, the first type of event is a non-equipment disconnection fault and is not easy to detect, the second type of event is caused by continuous accumulation of statistical errors of equipment, the abnormal events can not be thoroughly eliminated, regular manual calibration is needed, the abnormal alarm can remind maintenance personnel to calibrate the data in time, the accuracy of data statistics is ensured, the third type of event is abnormal fluctuation of the hospital population when major public medical accidents such as epidemic situations occur, and the system can timely find data abnormality and give an alarm, so that hospital emergency response is facilitated.
Furthermore, the display module is used for displaying various input people flow information data and displaying real-time people flow information data and historical data, and can also monitor and manage the position, size, speed, direction and color of people in the target area.
The beneficial effect of this application is: the application provides a big data analysis system for analyzing historical people number statistical data and real-time people number statistical data of hospital yards in real time based on people flow statistical data.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic overall structure diagram of an embodiment of the present application.
In the figure: 1. the system comprises a control module 2, a regional people flow counting module 3, a data storage module 4, a data analysis module 5, an alarm handling module 6, a communication module 7 and a display module.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Please refer to fig. 1, the big data analysis system based on the people flow statistical data includes a control module 1, a regional people flow statistical module 2, a data storage module 3, a data analysis module 4, an alarm processing module 5, a communication module 6 and a display module 7, wherein the control module 1 is electrically connected with the regional people flow statistical module 2, the data storage module 3, the data analysis module 4, the alarm processing module 5, the communication module 6 and the display module 7, the regional people flow statistical module 2 is electrically connected with the data storage module 3, and the data analysis module 4, the alarm processing module 5, the communication module 6 and the display module 7 are electrically connected with each other.
The regional people flow rate counting module 2 acquires video stream data of a target scene and obtains a video frame image, performs format conversion on the video frame image to obtain a target image and marks the target image, analyzes people flow rate information of a target image sequence according to a target detection tracking algorithm to obtain people flow rate data of the target scene and information data of people in the target region, wherein the people information comprises the position, size, speed, direction and color of the people in the target scene, and transmits the people flow rate data of the target region and the information data of the people in the target scene to a big data platform; the data storage module 3 is used for storing people counting data in different time periods and storing the collected people stream information data in a classified manner; the regional pedestrian volume statistical module 2 is used for receiving a target regional pedestrian volume query request sent by a user terminal, generating a statistical region according to the region, and informing all base stations in the statistical region to perform a user quantity information acquisition action; the data analysis module 4 is used for analyzing historical data and real-time data in a targeted manner, comparing the real-time data with the historical data, sending an alarm signal when the data accord with a certain alarm model, and sending the alarm signal to the alarm processing module 5; the alarm handling module 5 is used for receiving an alarm signal and providing a corresponding handling plan; the data analysis module 4 continuously analyzes historical data and current real-time data in the same time period in real time according to the obvious data characteristics of the real-time data, and sends out an alarm signal when the trend of the data accords with a certain trend; the communication module 6 is used for transmitting real-time data of people flow statistics to the data storage module 3, the data analysis module 4 and the alarm processing module 5 and displaying the data through the display module 7; the data analysis module 4 is used for carrying out real-time analysis on data and carrying out contrastive analysis on the data and abnormal events, the abnormal events comprise three types of events, the first event is a non-equipment disconnection fault and is not easy to perceive, the second event is caused by continuous accumulation of statistical errors of equipment and cannot be thoroughly eliminated, regular manual calibration is needed, the abnormal alarm can remind maintenance personnel to calibrate the data in time and ensure the accuracy of data statistics, the third event is characterized in that the number of people in a hospital can fluctuate abnormally when major public medical accidents such as epidemic situations occur, and the system can find data abnormality in time and give an alarm so as to facilitate emergency response of the hospital; the display module 7 is used for displaying various input people flow information data and displaying real-time people flow information data and historical data, and the display module 7 can also monitor and manage the position, size, speed, direction and color of people in the target area.
When the system is used, video stream data of a target scene is acquired through a regional people flow rate counting module 2, a video frame image is acquired, the format of the video frame image is converted to obtain a target image, the target image is labeled, people flow information of a target image sequence is analyzed according to a target detection tracking algorithm to obtain people flow rate data of the target scene and information data of people in the target region, wherein the people information comprises the position, the size, the speed, the direction and the color of the people in the target scene, the people flow rate data of the target region and the information data of the people in the target scene are transmitted to a big data platform, a counting region is generated according to the region by receiving a target region people flow rate query request sent by a user terminal, all base stations in the counting region are informed of user quantity information acquisition behaviors, and the data storage module 3 is used for storing the people number counting data in different time periods, the collected people flow information data is classified and stored, the data analysis module 4 is used for analyzing historical data and real-time data in a targeted manner, the real-time data and the historical data are compared, when the data accord with a certain alarm model, an alarm signal is sent out and sent to the alarm processing module 5, the alarm processing module 5 is used for receiving the alarm signal and providing a corresponding processing plan, the communication module 6 is used for transmitting the real-time data of people flow statistics to the data storage module 3, the data analysis module 4 and the alarm processing module 5 and displaying the data through the display module 7, and further the historical people number statistical data and the real-time people number statistical data of hospital areas can be analyzed in real time, when the data accords with the following three event characteristics, an alarm signal is sent, the device is online but the statistical data is abnormal, the accumulated error data is overlarge, public health events are burst, the abnormal alarm sensitivity can be adjusted through setting, the daily abnormal events which are not easy to find can be conveniently found in time, and the response is carried out in time.
The application has the advantages that: historical people number statistical data and real-time people number statistical data of hospital's academy are analyzed in real time, when the data accord with following three kinds of incident characteristics, an alarm signal is sent out, the equipment is online but the statistical data is abnormal, the accumulated error data is too big, public health incident breaks out, and the abnormal alarm sensitivity can be adjusted through setting, so that daily abnormal incident which is difficult to find can be conveniently and timely found, and response can be timely carried out.
It is well within the skill of those in the art to implement, without undue experimentation, the present application is not directed to software and process improvements, as they relate to circuits and electronic components and modules.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. Big data analysis system based on flow of people statistical data, its characterized in that: the system comprises a control module (1), a regional people flow counting module (2), a data storage module (3), a data analysis module (4), an alarm processing module (5), a communication module (6) and a display module (7), wherein the control module (1) is electrically connected with the regional people flow counting module (2), the data storage module (3), the data analysis module (4), the alarm processing module (5), the communication module (6) and the display module (7), the regional people flow counting module (2) is electrically connected with the data storage module (3), and the data analysis module (4), the alarm processing module (5), the communication module (6) and the display module (7) are electrically connected with each other.
2. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the regional pedestrian flow counting module (2) collects video stream data of a target scene and obtains video frame images, carries out format conversion on the video frame images to obtain target images and marks the target images, analyzes pedestrian flow information of a target image sequence according to a target detection tracking algorithm to obtain pedestrian flow data of the target scene and information data of people in the target region, wherein the people information comprises the position, the size, the speed, the direction and the color of the people in the target scene, and transmits the pedestrian flow data of the target region and the information data of the people in the target scene to a big data platform.
3. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the data storage module (3) is used for storing people counting data in different time periods and storing the collected people stream information data in a classified mode.
4. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the regional pedestrian volume statistical module (2) can be used for receiving a target regional pedestrian volume query request sent by a user terminal, generating a statistical region according to the region, and informing all base stations in the statistical region to perform a user quantity information acquisition action.
5. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the data analysis module (4) is used for analyzing historical data and real-time data in a targeted mode, comparing the real-time data with the historical data, sending an alarm signal when the data accord with a certain alarm model, and sending the alarm signal to the alarm processing module (5).
6. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the alarm treatment module (5) is used for receiving an alarm signal and providing a corresponding treatment plan.
7. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the data analysis module (4) continuously analyzes historical data and current real-time data in the same time period in real time according to the obvious data characteristics of the real-time data, and sends out an alarm signal when the trend of the data accords with a certain trend.
8. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the communication module (6) is used for transmitting the real-time data of the people flow statistics to the data storage module (3), the data analysis module (4) and the alarm processing module (5) and displaying the data through the display module (7).
9. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the data analysis module (4) carries out real-time analysis on data and contrasts and analyzes with abnormal events, the abnormal events comprise three types of events, the first type of event is a non-equipment disconnection fault and is not easy to detect, the second type of event is caused by continuous accumulation of statistical errors of equipment, the abnormal events cannot be thoroughly eliminated, regular manual calibration is needed, the abnormal alarm can remind maintenance personnel to calibrate data in time, the accuracy of data statistics is guaranteed, the third type of event is abnormal fluctuation of the hospital population when serious public medical accidents such as epidemic situations occur, the system can timely find data abnormity and give an alarm, and hospital emergency response is facilitated.
10. The big data analysis system based on human flow statistics data according to claim 1, characterized in that: the display module (7) is used for displaying various input people flow information data and displaying real-time people flow information data and historical data, and the display module (7) can also monitor and manage the position, size, speed, direction and color of people in the target area.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
| CN107992786A (en) * | 2016-10-27 | 2018-05-04 | 中国科学院沈阳自动化研究所 | A kind of people streams in public places amount statistical method and system based on face |
| CN210075429U (en) * | 2019-06-27 | 2020-02-14 | 南京市急救中心 | Intelligent video monitoring system for pre-hospital emergency treatment |
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- 2020-12-28 CN CN202011588596.3A patent/CN112995589A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069429A (en) * | 2015-07-29 | 2015-11-18 | 中国科学技术大学先进技术研究院 | People flow analysis statistics method based on big data platform and people flow analysis statistics system based on big data platform |
| CN107992786A (en) * | 2016-10-27 | 2018-05-04 | 中国科学院沈阳自动化研究所 | A kind of people streams in public places amount statistical method and system based on face |
| CN210075429U (en) * | 2019-06-27 | 2020-02-14 | 南京市急救中心 | Intelligent video monitoring system for pre-hospital emergency treatment |
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