A method, system and apparatus for discovering an opportunity point for a human flow density mutation

Abstract

The application provides a method, system and device for discovering a mutation opportunity point of human flow density, which combines temperature change gradient, CO2 concentration change gradient and historical records to determine whether the current human flow density is mutated, solves the problem of how to obtain human flow change in a large space, can discover the arrival of a human flow density peak or valley in advance, has fast determination speed, and the determination result is reliable.

Description

Technical Field

[0001] This invention relates to a method, system, and apparatus for detecting sudden changes in population density. Background Technology

[0002] In large public building spaces such as transportation hubs, theaters, shopping malls, and hotels, a sudden increase in pedestrian density can cause a rapid rise in temperature, affecting the service experience of travelers or customers. While HVAC systems can effectively lower the ambient temperature, temperature adjustments in ultra-large spaces are slow, and the discomfort caused by sudden increases in cooling demand has always been a challenge for intelligent HVAC management systems in ultra-large spaces.

[0003] Various large-space HVAC intelligent management systems typically have the ability to regulate ambient temperature, but the collection of people density has always been a problem that plagues the industry. High-precision people density collection systems are expensive, which severely reduces the profit margin of HVAC intelligent management systems. Therefore, a feasible alternative is urgently needed.

[0004] Currently, the industry has developed methods to determine when pedestrian traffic begins to increase by detecting the rate of change or gradient of ambient temperature, thus allowing for early intervention and control measures. However, these methods are highly dependent on the data and lack accuracy and applicability.

[0005] This invention provides a low-cost, high-reliability method for detecting sudden changes in crowd density. It integrates the effects of sudden changes in crowd density on temperature change gradients and CO2 concentration change gradients, solving the coupling problem of judgment based on a single data dimension. At the same time, it innovatively proposes to further improve the accuracy of judgment by utilizing the length and frequency of discomfort intervals that have occurred historically during the same time period. This achieves the technical requirements of high applicability and high reliability, and solves the problem of difficulty in detecting the time point of sudden changes in crowd density at a low cost. Summary of the Invention

[0006] This invention provides a method, system, and device for detecting sudden changes in pedestrian density, which can detect the arrival of peak or trough pedestrian density in advance and solve the problem of difficulty in obtaining changes in pedestrian flow.

[0007] In a first aspect, the invention provides a method for detecting sudden changes in population density, which determines whether there is a sudden change in population density by using temperature change gradient, CO2 concentration change gradient and environmental comfort data of adjacent time periods in historical records.

[0008] This invention combines temperature change gradient, CO2 concentration change gradient and historical records to determine whether the current crowd density has changed abruptly, solving the problem of how to obtain changes in crowd flow. It can detect the arrival of crowd density peaks or troughs in advance, and the judgment speed is fast and the judgment results are reliable.

[0009] Preferably, when the temperature change gradient is greater than zero, the CO2 concentration change gradient is greater than zero, and the environmental comfort data of adjacent time periods in historical records do not meet the standards, it is judged as a sudden increase in the current population density.

[0010] Preferably, when the temperature change gradient is less than zero, the CO2 concentration change gradient is less than zero, and the environmental comfort data of adjacent time periods in historical records do not meet the standards, it is judged that the current population density has suddenly decreased.

[0011] Preferably, the in,

[0012] t1, t2, ..., tm represent the most recent m measured values ​​of the temperature sensor.

[0013] The values ​​m1>0, m2>0, and m3>0 are configurable integers.

[0014] When the temperature change gradient is greater than zero, it indicates that the temperature is rising; when the temperature change gradient is less than zero, it indicates that the temperature is falling.

[0015] Preferred, in,

[0016] c1, c2, ..., cm represent the most recent m measured values ​​of CO2 concentration.

[0017] The values ​​m1>0, m2>0, and m3>0 are configurable integers.

[0018] When the gradient of CO2 concentration change is greater than zero, it indicates that the CO2 concentration is on an upward trend; when the gradient of CO2 concentration change is less than zero, it indicates that the CO2 concentration is on a downward trend.

[0019] Preferably, the environmental comfort data includes records of environmental comfort levels not meeting standards.

[0020] The recording dimensions for the environmental comfort non-compliance records include: time period, date of non-compliance, number and frequency of air conditioning units in operation when non-compliance began, and number and frequency of air conditioning units in operation when non-compliance turned into compliance.

[0021] By recording instances where environmental comfort levels fail to meet standards, historical data is generated for retrieval and comparison to determine whether peak pedestrian density has arrived.

[0022] Preferably, when the temperature and CO2 concentration change gradients are all greater than zero for n consecutive times, and a record of substandard environmental comfort is found in the historical records for the next preset time, and the number of dates of substandard environmental comfort records is greater than the preset number of times, it is judged that the current population density has suddenly increased and the peak population density is about to arrive.

[0023] Preferably, when the temperature and CO2 concentration change gradients are all less than zero for n consecutive times, and a record of substandard environmental comfort is found in the historical records for the next preset time, and the number of dates of substandard environmental comfort records is greater than the preset number of times, it is judged that the current population density has suddenly decreased and the trough of population density is about to arrive.

[0024] Secondly, embodiments of the invention provide a system for detecting sudden changes in population density, comprising:

[0025] The data acquisition module is configured to collect temperature, CO2 concentration, operating condition data, and operational data.

[0026] The data storage module is a database that stores the data collected by the data acquisition module.

[0027] The data processing module is configured to determine whether there is a sudden change in the current population density by using temperature change gradient, CO2 concentration change gradient and environmental comfort data of adjacent time periods in historical records.

[0028] Thirdly, the invention provides a device for detecting sudden changes in population density, comprising: a memory and a processor; the memory stores executable code, and when the executable code is executed by the processor, the processor performs the method for detecting sudden changes in population density as described in the first aspect.

[0029] Fourthly, the present invention provides a non-transitory machine-readable storage medium storing executable code, which, when executed by a processor of an electronic device, enables the processor to at least implement the method for detecting sudden changes in population density as described in the first aspect.

[0030] In this embodiment of the invention, a method, system and device are provided for detecting sudden changes in population density. By observing the trends in temperature and CO2 concentration and referring to the ambient temperature of the same time period in historical data, the arrival of peak or trough periods of population density can be detected in advance. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 A flowchart illustrating a method for detecting sudden changes in population density according to an embodiment of the present invention;

[0033] Figure 2 A block diagram of a system provided in an embodiment of the present invention;

[0034] Figure 3 A schematic diagram of the structure of a medium provided in one embodiment of the present invention;

[0035] Figure 4 This is a schematic diagram of the structure of a device provided in an embodiment of the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0038] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0039] To address the aforementioned problems, the method provided by this invention can detect the arrival of peak pedestrian density in advance, solving the problem of difficulty in obtaining changes in pedestrian flow. The technical solution provided by this invention detects peak pedestrian density in advance by analyzing trends in temperature and CO2 concentration changes and referencing historical data on ambient temperatures during the same time period.

[0040] The implementation principles of the methods, systems, devices, and media provided by this invention are similar, and will not be repeated here.

[0041] After introducing the basic principles of the present invention, various non-limiting embodiments of the present invention will be described in detail below.

[0042] The embodiments of this invention can be applied to HVAC systems in various large public building spaces, especially in transportation hubs, theaters, shopping malls, hotels, and other transportation stations. It should be noted that the embodiments provided are merely illustrative to facilitate understanding of the spirit and principles of this invention, and the implementation of this invention is not limited in any way. On the contrary, the embodiments of this invention can be applied to any applicable scenario.

[0043] Please see Figure 1 This invention provides a method for detecting sudden changes in pedestrian density, applicable to shopping malls:

[0044] Real-time temperature and CO2 concentration data were collected from the shopping mall to obtain the temperature change gradient and CO2 concentration change gradient, respectively. The calculation formulas are as follows:

[0045] When the temperature gradient is greater than 0, it indicates that the temperature is rising; when the temperature gradient is less than 0, it indicates that the temperature is falling.

[0046] When the gradient of CO2 concentration change is greater than 0, it indicates that the CO2 concentration is on an upward trend; when the gradient of CO2 concentration change is less than 0, it indicates that the CO2 concentration is on a downward trend.

[0047] in,

[0048] t1, t2, ..., tm represent the most recent m measured values ​​of the temperature sensor;

[0049] c1, c2, ..., cm represent the most recent m measured values ​​of CO2 concentration;

[0050] The values ​​m1>0, m2>0, and m3>0 are configurable integers.

[0051] In this embodiment, we set m1=3, m2=2, m3=3, and m=8. This set of data is the optimal configuration obtained from the statistical data of the project in this embodiment. Specifically, we collected 35 sample data near the point of sudden change in pedestrian flow density in the project, and took m<=10, m1>0, m2>0, m3>0, and m1+m2+m3=m. An exhaustive experiment was conducted. When the above data was taken, the result was the most prominent. However, some other data combinations were also effective. It can be seen that the optimal configuration may be different for different projects, and fine-tuning one of the values ​​has little impact on the judgment structure.

[0052] In order to further improve the accuracy of the judgment, this invention combines the trends of temperature and CO2 concentration changes with historical records for further judgment. That is, when the trends of temperature and CO2 concentration changes are all greater than zero for n consecutive times (n is a configurable positive integer), and the environmental comfort data of adjacent time periods in the historical records (e.g., the next 20 minutes) are not up to standard, it is judged that the current population density has suddenly increased and the environment will enter an uncomfortable zone.

[0053] In this embodiment, the historical records mainly include records of environmental comfort not meeting the standards. The recording dimensions of the records of environmental comfort not meeting the standards include: time period and date of occurrence of non-compliance.

[0054] In other embodiments, if the trends of temperature and CO2 concentration changes are all less than zero for n consecutive times (n is a configurable positive integer), and the environmental comfort data for adjacent time periods in historical records (e.g., the next 20 minutes) are substandard, then it is determined that the current population density has suddenly decreased.

[0055] Please see Figure 2 This invention provides a system for detecting sudden changes in population density, which can achieve... Figure 1 The corresponding exemplary embodiment of the present invention provides a heating, ventilation, and air conditioning (HVAC) management method. The system includes: a data acquisition module, a data storage module, and a data processing module.

[0056] The data acquisition module is configured to collect temperature, CO2 concentration, operating condition data, and operational data.

[0057] The data storage module is a database that stores the data collected by the data acquisition module.

[0058] The data processing module is configured to determine whether there is a sudden change in the current population density by using temperature change gradient, CO2 concentration change gradient and environmental comfort data of adjacent time periods in historical records.

[0059] The system in this embodiment is similar in principle and method to the technical solution, and will not be described again here.

[0060] After introducing the methods and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 3 The present invention provides an exemplary medium storing computer-executable instructions that can be used to cause the computer to perform... Figure 1 The corresponding method of this invention.

[0061] After introducing the methods, systems, and media of exemplary embodiments of the present invention, the following references are made. Figure 4This invention introduces an exemplary device 40, which includes a processing unit 401, a memory 402, a bus 403, an external device 404, an I / O interface 405, and a network adapter 406. The memory 402 includes a random access memory (RAM) 4021, a cache memory 4022, a read-only memory (ROM) 4023, and a memory cell array 4025 consisting of at least one memory cell 4024. The memory 402 stores programs or instructions executed by the processing unit 401; the processing unit 401 executes programs or instructions stored in the memory 402. Figure 1 The method described in the corresponding example of the present invention; the I / O interface 405 is used to receive or send data under the control of the processing unit 401.

[0062] Here, the exemplary device 40 includes, but is not limited to, user equipment, network equipment, or a device formed by integrating network equipment and user equipment through a network; the user equipment includes, but is not limited to, any electronic product that can interact with the user through a keyboard, remote control, touchpad, or voice control device, such as a computer, smartphone, ordinary mobile phone, tablet computer, etc.; the network equipment includes, but is not limited to, a computer, network host, a single network server, a set of multiple network servers, or a cloud composed of multiple servers.

[0063] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0064] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of a necessary general-purpose hardware platform, or by a combination of hardware and software. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a computer product. The present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for finding an opportunity point of a human flow density mutation, characterized in that, The application is applied to large public building space, including: By temperature change gradient, CO2 concentration change gradient and adjacent time period environmental comfort data in historical records of large public building space, it is judged whether current human flow density mutation occurs; the large public building space includes transportation hub, theater, shopping mall, hotel; When the temperature change gradient is greater than zero, CO2 concentration change gradient is greater than zero, and adjacent time period environmental comfort data in historical records is not up to standard, it is judged that current human flow density suddenly increases; When the temperature change gradient is less than zero, CO2 concentration change gradient is less than zero, and adjacent time period environmental comfort data in historical records is not up to standard, it is judged that current human flow density suddenly decreases.

2. The method of claim 1, wherein, Further comprising: The Wherein, the ti is t1, t2, …, tm, representing the measured value of the temperature sensor for the last m times, the maximum value of i is m; m1>0, m2>0, m3>0 are configurable integers; When the temperature change gradient is greater than zero, it indicates that temperature is in rising trend, and when the temperature change gradient is less than zero, it indicates that temperature is in falling trend. 3.The method of claim 1, wherein, The Wherein, the ci is c1, c2, …, cm, indicating the latest m measured values of CO2 concentration, the maximum value of i is m; m1>0, m2>0, m3>0 are configurable integers; When the CO2 concentration change gradient is greater than zero, it indicates that CO2 concentration is in rising trend, and when the CO2 concentration change gradient is less than zero, it indicates that CO2 concentration is in falling trend. 4.The method of claim 1, wherein, The environmental comfort data includes environmental comfort non-standard record, and record dimensions of the environmental comfort non-standard record include: time period, non-standard occurrence date, air conditioning host running number and frequency at non-standard start, air conditioning host running number and frequency when changing from non-standard to standard. 5.The method of claim 4, wherein, When temperature and CO2 concentration change gradients of continuous n times are all greater than zero, and it is found that environmental comfort non-standard record appears in historical records in the next preset time, and the number of environmental comfort non-standard record dates is greater than a predetermined number of times, it is judged that current human flow density suddenly increases. 6.The method of claim 4, wherein, When temperature and CO2 concentration change gradients of continuous n times are all less than zero, and it is found that environmental comfort non-standard record appears in historical records in the next preset time, and the number of environmental comfort non-standard record dates is greater than a predetermined number of times, it is judged that current human flow density suddenly decreases.

7. A system for discovering an opportunity point of a human flow density mutation, wherein, Including: A data acquisition module configured to acquire temperature, CO2 concentration, working condition data and operation data; A data storage module, which is a database, stores data acquired by the data acquisition module; A data processing module configured to judge whether current human flow density mutation occurs by temperature change gradient, CO2 concentration change gradient and adjacent time period environmental comfort data in historical records.

8. An apparatus for discovering an opportunity point of a human flow density mutation, wherein, Including: A memory and a processor; The memory stores executable code, and when the executable code is executed by the processor, the processor executes the method for finding human flow density mutation time point as claimed in any one of claims 1 to 6.

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