An analysis method for obtaining passenger status in a carriage and a passenger image acquisition device

Abstract

The present invention discloses an analysis method for obtaining the status of passengers in a carriage and a passenger image acquisition device, comprising a carriage passenger number counting device, a carriage passenger status detection device, an image monitoring device, an alarm device, a carriage abnormal state detection device, a voice acquisition device, a data storage device, a semantic analysis and judgment module, a personnel density abnormality detection device, a data processing module, and a communication device; the carriage passenger number counting device, carriage passenger status detection device, image monitoring device, alarm device, carriage abnormal state detection device, voice acquisition device, data storage device, semantic analysis and judgment module, personnel density abnormality detection device, and communication device are respectively connected to the data processing module. Through the technical solution provided by the present invention, it is possible to accurately detect the number of passengers in the carriage, adjust the environment in the carriage in a timely manner, and accurately identify abnormal conditions of passengers.

Description

Technical Field

[0001] The present invention relates to the field of rail transportation, and in particular to an analysis method for obtaining the status of passengers in a carriage and a passenger image acquisition device. Background Art

[0002] With the rapid development of urban rail transit, subways have brought many conveniences to people. Subway cars are special, semi-enclosed environments. When the number of people in a subway car increases rapidly, the number of people inside increases, the temperature inside the car rises, and passengers become irritable, which can easily lead to crowding and even stampedes, endangering passenger safety. At the same time, when the number of people in the car is small, if a passenger experiences an abnormal condition, it cannot be discovered in time, and the passenger cannot receive timely assistance. Therefore, how to adjust the environment in the car according to the passenger's condition and how to detect abnormal conditions in time are topics that researchers need to study. Summary of the Invention

[0003] The present invention aims to overcome the shortcomings of the prior art and provides an image acquisition device for obtaining the status of passengers in a carriage, comprising a carriage passenger number counting device, a carriage passenger status detection device, an image monitoring device, an alarm device, a carriage abnormality status detection device, a voice acquisition device, a data storage device, a semantic analysis and judgment module, a personnel density abnormality detection device, a data processing module, and a communication device.

[0004] The carriage passenger number counting device, carriage passenger status detection device, image monitoring device, alarm device, carriage abnormal status detection device, voice collection device, data storage device, semantic analysis and judgment module, personnel density abnormality detection device, and communication device are respectively connected to the data processing module.

[0005] Preferably, the vehicle compartment passenger number counting device includes a face acquisition device, a data storage device, and a face comparison device; the face acquisition device, the data storage device, and the face comparison device are respectively connected to the data processing module.

[0006] Preferably, the carriage passenger status detection device includes a physiological data acquisition device and a passenger status detection device; the physiological data acquisition device and the passenger status detection device are respectively connected to the data processing module.

[0007] Preferably, the image monitoring device includes a camera module, an image processing module, and an image data storage module; the camera module is connected to the image processing module, and the image processing module and the image data storage module are respectively connected to the data processing module.

[0008] Preferably, the vehicle compartment abnormal state detection device includes a smoke detection module and a vehicle compartment environment detection device; the smoke detection module and the vehicle compartment environment detection device are respectively connected to the data processing module.

[0009] Preferably, the vehicle cabin environment detection device includes a vehicle cabin temperature data acquisition device, a temperature rise rate calculation module, and an air conditioning module; the vehicle cabin temperature data acquisition device, the temperature rise rate calculation module, and the air conditioning module are respectively connected to the data processing module.

[0010] Preferably, the voice collection device includes a microphone and a voice data storage device; the microphone and the voice data storage device are respectively connected to the data processing module.

[0011] Preferably, the semantic analysis and judgment module includes a speech recognition module and a semantic recognition module; the speech recognition module is connected to the semantic recognition module, and the semantic recognition module is connected to the data processing module.

[0012] The method for analyzing the status of passengers in a vehicle compartment, which is applied to an image acquisition device for obtaining the status of passengers in the vehicle compartment, comprises the following steps:

[0013] In step 1, the carriage passenger number counting device detects the number of people in each carriage, obtains the number of people in the current carriage at the current moment, and saves the number of people in the current carriage at the current moment; based on the number of people in the current carriage at the previous moment and the number of people in the current carriage at the current moment, the passenger density acquisition module calculates the number of people and determines whether the passenger density in the current carriage is abnormal. If the passenger density is abnormal, the process proceeds to step 2; otherwise, the process proceeds to step 3;

[0014] Step 2: The cabin temperature data acquisition device obtains the ambient temperature data in the cabin with abnormal passenger density. The temperature rise rate calculation module calculates the ambient temperature rise rate based on the internal ambient temperature data. If the ambient temperature rise rate is greater than a set temperature rise rate threshold, the cooling power of the air conditioning module is increased to reduce the ambient temperature rise rate to below the set temperature rise rate threshold, thereby completing the ambient temperature adjustment.

[0015] Step 3: Determine whether the number of passengers in the current carriage is lower than the lower limit of the number of passengers. If so, activate the passenger status detection device and the semantic analysis and judgment module. The passenger status detection device detects the status of each passenger in the current carriage, including fall detection and body temperature monitoring. The passenger status is detected based on the fall detection and body temperature monitoring. When a passenger falls and the fall state lasts for more than a set time threshold, an alarm is issued; when the passenger's body temperature is higher than a set value, an alarm is issued.

[0016] Furthermore, the abnormal passenger density detection device calculates and determines whether the passenger density in the current compartment is abnormal based on the number of people in the current compartment at the previous moment and the number of people in the current compartment at the current moment, specifically including:

[0017] Calculate the difference between the number of people in the current compartment at the current moment and the number of people in the current compartment at the previous moment; compare the difference with a first threshold; if the difference is not less than the first threshold, determine that the passenger density in the current compartment is abnormal; if the difference is not greater than the first threshold, obtain the number of people in the current compartment at each moment over a period of time;

[0018] Calculating a growth rate of the number of people in the current carriage over a period of time based on the number of people in the current carriage at each moment over a period of time; and comparing the growth rate of the number of people in the current carriage with a second threshold;

[0019] If the increase in the number of people in the current carriage is not less than a second threshold, determining that the passenger density in the current carriage is abnormal; after determining that the passenger density in the current carriage is abnormal, obtaining the number of people in adjacent carriages at each time in a period of time from the current moment forward;

[0020] Calculating the growth rate of the number of people in the adjacent carriages within a period of time from the current moment forward based on the number of people in the adjacent carriages at each moment; and comparing the growth rate of the number of people in the adjacent carriages within the period of time with a second threshold;

[0021] If the increase in the number of people in the adjacent carriage during the period of time is not greater than the second threshold, comparing the number of people in the adjacent carriage at the current moment with the number of people in the current carriage at the current moment;

[0022] If the number of passengers in the adjacent carriage at the current moment is not greater than the number of passengers in the current carriage at the current moment, prompt the passengers to transfer from the current carriage to the adjacent carriage;

[0023] If the increase in the number of people in the adjacent carriage during the period of time is not less than the second threshold, it is determined that the passenger density in the adjacent carriage is abnormal.

[0024] The beneficial effects of the present invention are: through the pre-collected video surveillance image data in the carriage, the number of passengers in the carriage can be accurately detected and the environment in the carriage can be adjusted in a timely manner, and abnormal conditions of passengers can be accurately identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a schematic diagram of the principle of an image acquisition device for obtaining the status of passengers in a vehicle compartment;

[0026] Figure 2 A flowchart of an analysis method for obtaining the passenger status in a vehicle compartment. DETAILED DESCRIPTION

[0027] In order to make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention is further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present invention and are not intended to limit the present invention. That is, the embodiments described herein are only some embodiments of the present invention, not all embodiments. Generally, the components of the embodiments of the present invention described and illustrated in the drawings herein may be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative work shall fall within the scope of protection of the present invention. It should be noted that relational terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0029] Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0030] The features and performance of the present invention are further described in detail below with reference to the embodiments.

[0031] like Figure 1 As shown, an image acquisition device for obtaining the status of passengers in a carriage includes a carriage passenger number counting device, a carriage passenger status detection device, an image monitoring device, an alarm device, a carriage abnormal status detection device, a voice acquisition device, a data storage device, a semantic analysis and judgment module, a personnel density abnormality detection device, a data processing module, and a communication device;

[0032] The carriage passenger number counting device, carriage passenger status detection device, image monitoring device, alarm device, carriage abnormal status detection device, voice collection device, data storage device, semantic analysis and judgment module, personnel density abnormality detection device, and communication device are respectively connected to the data processing module.

[0033] The carriage passenger number counting device is used to collect the number of passengers in the carriage, the carriage passenger status detection device is used to detect the status of passengers in the carriage, including whether the passengers have fallen, the passengers' body temperature and distress information, etc. The image monitoring device is used to collect images in the carriage, the alarm device is used to issue an alarm message, the carriage abnormal status detection device is used to detect whether smoke is generated in the carriage, the voice collection device is used to collect the voices of passengers in the carriage, and is used to provide voice data for the semantic analysis and judgment module, the data storage device is used to store data, the semantic analysis and judgment module analyzes and judges whether the passengers have issued a distress signal based on the voice data, and the abnormal population density detection device is used to detect whether the population density in the carriage is abnormal.

[0034] The passenger counting device includes a face collection device, a data storage device, and a face comparison device, which are connected to the data processing module respectively. The number of passengers is obtained by collecting face data.

[0035] The vehicle compartment passenger status detection device includes a physiological data acquisition device and a passenger status detection device; the physiological data acquisition device and the passenger status detection device are respectively connected to the data processing module. The physiological data includes body temperature data.

[0036] The image monitoring device includes a camera module, an image processing module, and an image data storage module; the camera module is connected to the image processing module, and the image processing module and the image data storage module are respectively connected to the data processing module.

[0037] The vehicle compartment abnormal state detection device includes a smoke detection module and a vehicle compartment environment detection device; the smoke detection module and the vehicle compartment environment detection device are respectively connected to the data processing module.

[0038] The vehicle compartment environment detection device includes a vehicle compartment temperature data acquisition device, a temperature rise rate calculation module, and an air conditioning module; the vehicle compartment temperature data acquisition device, the temperature rise rate calculation module, and the air conditioning module are respectively connected to the data processing module.

[0039] The voice collection device comprises a microphone and a voice data storage device; the microphone and the voice data storage device are respectively connected to the data processing module.

[0040] The semantic analysis and judgment module includes a speech recognition module and a semantic recognition module; the speech recognition module is connected to the semantic recognition module, and the semantic recognition module is connected to the data processing module.

[0041] The method for analyzing the status of passengers in a vehicle compartment, which is applied to an image acquisition device for obtaining the status of passengers in the vehicle compartment, comprises the following steps:

[0042] In step 1, the passenger counting device detects the number of people in each carriage, obtains the number of people in the current carriage at the current moment, and saves the number of people in the current carriage at the current moment; based on the number of people in the current carriage at the previous moment and the number of people in the current carriage at the current moment, the abnormal population density detection device calculates the number of people and determines whether the passenger density in the current carriage is abnormal. If the passenger density is abnormal, the process proceeds to step 2; otherwise, the process proceeds to step 3;

[0043] Step 2: The cabin temperature data acquisition device obtains the ambient temperature data in the cabin with abnormal passenger density. The temperature rise rate calculation module calculates the ambient temperature rise rate based on the internal ambient temperature data. If the ambient temperature rise rate is greater than a set temperature rise rate threshold, the cooling power of the air conditioning module is increased to reduce the ambient temperature rise rate to below the set temperature rise rate threshold, thereby completing the ambient temperature adjustment.

[0044] Step 3: Determine whether the number of passengers in the current carriage is lower than the lower limit of the number of passengers. If so, activate the passenger status detection device and the semantic analysis and judgment module. The passenger status detection device detects the status of each passenger in the current carriage, including fall detection and body temperature monitoring. The passenger status is detected based on the fall detection and body temperature monitoring. When a passenger falls and the fall state lasts for more than a set time threshold, an alarm is issued; when the passenger's body temperature is higher than a set value, an alarm is issued.

[0045] The abnormal passenger density detection device calculates and determines whether the passenger density in the current compartment is abnormal based on the number of people in the current compartment at the previous moment and the number of people in the current compartment at the current moment, specifically including:

[0046] The abnormal passenger density detection device calculates the difference between the number of people in the current compartment at the current moment and the number of people in the current compartment at the previous moment; compares the difference with a first threshold; if the difference is not less than the first threshold, determines that the passenger density in the current compartment is abnormal; if the difference is not greater than the first threshold, obtains the number of people in the current compartment at each moment over a period of time;

[0047] Calculating a growth rate of the number of people in the current carriage over a period of time based on the number of people in the current carriage at each moment over a period of time; and comparing the growth rate of the number of people in the current carriage with a second threshold;

[0048] If the increase in the number of people in the current carriage is not less than a second threshold, determining that the passenger density in the current carriage is abnormal; after determining that the passenger density in the current carriage is abnormal, obtaining the number of people in adjacent carriages at each time in a period of time from the current moment forward;

[0049] Calculating the growth rate of the number of people in the adjacent carriages within a period of time from the current moment forward based on the number of people in the adjacent carriages at each moment; and comparing the growth rate of the number of people in the adjacent carriages within the period of time with a second threshold;

[0050] If the increase in the number of people in the adjacent carriage during the period of time is not greater than the second threshold, comparing the number of people in the adjacent carriage at the current moment with the number of people in the current carriage at the current moment;

[0051] If the number of passengers in the adjacent carriage at the current moment is not greater than the number of passengers in the current carriage at the current moment, prompt the passengers to transfer from the current carriage to the adjacent carriage;

[0052] If the increase in the number of people in the adjacent carriage during the period of time is not less than the second threshold, it is determined that the passenger density in the adjacent carriage is abnormal.

[0053] The step three also includes starting the semantic analysis and judgment module to collect and analyze the voices of the passengers in the car when the number of passengers in the current car is lower than the lower limit of the number of passengers, to see whether a distress signal appears, and when a distress signal appears, sending an alarm message to the alarm center.

[0054] The foregoing description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein and should not be construed as excluding other embodiments. Rather, the present invention can be used in various other combinations, modifications, and environments and can be modified within the scope of the concept described herein through the above teachings or techniques or knowledge in the relevant field. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention are intended to be protected by the appended claims.

Claims

1. A method for analyzing the status of passengers in a vehicle compartment, characterized in that: The steps include: In step 1, the carriage passenger number counting device detects the number of people in each carriage, obtains the number of people in the current carriage at the current moment, and saves the number of people in the current carriage at the current moment; based on the number of people in the current carriage at the previous moment and the number of people in the current carriage at the current moment, the passenger density acquisition module calculates the number of people and determines whether the passenger density in the current carriage is abnormal. If the passenger density is abnormal, the process proceeds to step 2; otherwise, the process proceeds to step 3; Step 2: The cabin temperature data acquisition device obtains the ambient temperature data in the cabin with abnormal passenger density. The temperature rise rate calculation module calculates the ambient temperature rise rate based on the internal ambient temperature data. If the ambient temperature rise rate is greater than a set temperature rise rate threshold, the cooling power of the air conditioning module is increased to reduce the ambient temperature rise rate to below the set temperature rise rate threshold, thereby completing the ambient temperature adjustment. Step 3: Determine whether the number of passengers in the current carriage is lower than the lower limit of the number of passengers. If so, activate the passenger status detection device and the semantic analysis and judgment module. The passenger status detection device detects the status of each passenger in the current carriage, including fall detection and body temperature monitoring. The passenger status is detected based on the fall detection and body temperature monitoring. When a passenger falls and the fall state lasts for more than a set time threshold, an alarm is issued; when the passenger's body temperature is higher than a set value, an alarm is issued. The passenger density acquisition module calculates and determines whether the passenger density in the current carriage is abnormal based on the number of people in the current carriage at the previous moment and the number of people in the current carriage at the current moment, specifically including: Calculate the difference between the number of people in the current compartment at the current moment and the number of people in the current compartment at the previous moment; compare the difference with a first threshold; if the difference is not less than the first threshold, determine that the passenger density in the current compartment is abnormal; if the difference is not greater than the first threshold, obtain the number of people in the current compartment at each moment over a period of time; Calculating a growth rate of the number of people in the current carriage over a period of time based on the number of people in the current carriage at each moment over a period of time; and comparing the growth rate of the number of people in the current carriage with a second threshold; If the increase in the number of people in the current carriage is not less than a second threshold, determining that the passenger density in the current carriage is abnormal; after determining that the passenger density in the current carriage is abnormal, obtaining the number of people in adjacent carriages at each time in a period of time from the current moment forward; Calculating the growth rate of the number of people in the adjacent carriages within a period of time from the current moment forward based on the number of people in the adjacent carriages at each moment; and comparing the growth rate of the number of people in the adjacent carriages within the period of time with a second threshold; If the increase in the number of people in the adjacent carriage during the period of time is not greater than the second threshold, comparing the number of people in the adjacent carriage at the current moment with the number of people in the current carriage at the current moment; If the number of passengers in the adjacent carriage at the current moment is not greater than the number of passengers in the current carriage at the current moment, prompt the passengers to transfer from the current carriage to the adjacent carriage; If the increase in the number of people in the adjacent carriage during the period of time is not less than the second threshold, it is determined that the passenger density in the adjacent carriage is abnormal.

2. An image acquisition device for obtaining the status of passengers in a vehicle compartment, characterized in that: The method for analyzing the status of passengers in a carriage according to claim 1 includes a carriage passenger counting device, a carriage passenger status detection device, an image monitoring device, an alarm device, a carriage abnormal status detection device, a voice acquisition device, a data storage device, a semantic analysis and judgment module, a personnel density abnormality detection device, a data processing module, and a communication device; The carriage passenger number counting device, carriage passenger status detection device, image monitoring device, alarm device, carriage abnormal status detection device, voice collection device, data storage device, semantic analysis and judgment module, personnel density abnormality detection device, and communication device are respectively connected to the data processing module.

3. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 2, characterized in that: The carriage passenger number counting device includes a face acquisition device, a data storage device, and a face comparison device; the face acquisition device, the data storage device, and the face comparison device are respectively connected to the data processing module.

4. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 3, characterized in that: The carriage passenger status detection device includes a physiological data acquisition device and a passenger status detection device; the physiological data acquisition device and the passenger status detection device are respectively connected to the data processing module.

5. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 4, characterized in that: The image monitoring device includes a camera module, an image processing module, and an image data storage module; the camera module is connected to the image processing module, and the image processing module and the image data storage module are respectively connected to the data processing module.

6. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 5, characterized in that: The vehicle compartment abnormal state detection device includes a smoke detection module and a vehicle compartment environment detection device; the smoke detection module and the vehicle compartment environment detection device are respectively connected to the data processing module.

7. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 6, characterized in that: The vehicle compartment environment detection device includes a vehicle compartment temperature data acquisition device, a temperature rise rate calculation module, and an air conditioning module; the vehicle compartment temperature data acquisition device, the temperature rise rate calculation module, and the air conditioning module are respectively connected to the data processing module.

8. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 7, characterized in that: The voice collection device comprises a microphone and a voice data storage device; the microphone and the voice data storage device are respectively connected to the data processing module.

9. The image acquisition device for obtaining the status of passengers in a vehicle compartment according to claim 8, characterized in that: The semantic analysis and judgment module includes a speech recognition module and a semantic recognition module; the speech recognition module is connected to the semantic recognition module, and the semantic recognition module is connected to the data processing module.

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