CN111232778B - Method and device for counting number of people in elevator car - Google Patents
Method and device for counting number of people in elevator car Download PDFInfo
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- CN111232778B CN111232778B CN202010143567.XA CN202010143567A CN111232778B CN 111232778 B CN111232778 B CN 111232778B CN 202010143567 A CN202010143567 A CN 202010143567A CN 111232778 B CN111232778 B CN 111232778B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3476—Load weighing or car passenger counting devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/40—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
- G01G19/42—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight for counting by weighing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
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Abstract
The embodiment of the invention discloses a method and a device for counting the number of people in an elevator car. According to the embodiment of the invention, the number of passengers in the elevator car can be more accurately obtained by analyzing the dynamic radar data of the target object, so that the statistical error of the number of passengers in the elevator car is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of information acquisition, in particular to a method and a device for counting the number of people in an elevator car.
Background
With the development of science and technology, the electromagnetic wave technology is gradually improved, so that the electromagnetic wave technology is widely applied to various fields to detect the position and the like of a corresponding target object. For example, radar may be used to detect the presence of passengers in an elevator car.
However, because the elevator car is generally a metal wall, the reflection of the elevator car to radar signals is extremely strong, and the multipath effect is serious, so that the signals emitted by passengers in the elevator car are very weak, and the extraction of effective reflection signals of the passengers is difficult; therefore, the reflected signal of the radar is used for counting the number of passengers in the car, so that a large error exists.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a method and an apparatus for counting the number of passengers in an elevator car, so as to reduce an error in counting the number of passengers in the elevator car and improve the accuracy of counting the number of passengers in the elevator car.
In a first aspect, an embodiment of the present invention provides a method for counting people in an elevator car, including:
when the elevator car is in a first state, acquiring radar data of a radar detection target object in real time; wherein the first state is a state in which a door of the elevator car is not fully closed;
according to the radar data, acquiring the number of first passengers entering the elevator car and the number of second passengers getting out of the elevator car by adopting a clustering algorithm;
counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers.
Optionally, obtaining the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by using a clustering algorithm includes:
performing two times of fast Fourier transform on the radar data to acquire data information of the speed and the distance of the target object;
removing data with zero speed in the data information of the speed and the distance of the target object, and extracting point cloud data of the target object;
performing third fast Fourier transform on the point cloud data to acquire azimuth information of each point cloud data;
and acquiring the number of first passengers entering the elevator car and the number of second passengers getting out of the elevator car by adopting a clustering algorithm according to the data information of the speed and the distance of the target object and the azimuth information.
Optionally, when the elevator car is in the first state, before obtaining the radar data of the radar detection target object in real time, the method further includes:
when the elevator car is in a second state, judging whether passengers are in the elevator car; wherein the second state is a state in which doors of the elevator car are fully closed;
if so, acquiring the initial number of passengers in the elevator car;
and if not, assigning the initial passenger number in the elevator car to be 0.
Optionally, after counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers, the method further includes:
counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or according to the difference between the initial number of passengers and the number of passengers decreased in the elevator car.
Optionally, judge whether someone is in elevator car includes:
judging whether the weight of the elevator car exceeds a preset weight or not; alternatively, the first and second electrodes may be,
and acquiring an infrared signal detected by an infrared sensor, and judging whether thermal radiation exists in the elevator car.
Optionally, judge whether someone is in elevator car includes:
acquiring a radar signal of the radar detecting a target object in the elevator car;
carrying out one-time fast Fourier transform on the radar signal to acquire the distance information of the target object;
extracting a phase of the radar signal corresponding to the distance information;
and judging whether the phase of the radar signal corresponding to the distance information is a change value.
Optionally, obtaining an initial number of passengers in the elevator car comprises:
acquiring the initial passenger number according to the ratio of the weighed weight of the elevator car to the average weight of the people; alternatively, the first and second electrodes may be,
and acquiring the initial passenger number according to the energy intensity of the reflected signal of the target object detected by the radar.
In a second aspect, an embodiment of the present invention further provides a device for counting people in an elevator car, including:
the system comprises a radar data acquisition module, a data processing module and a data processing module, wherein the radar data acquisition module is used for acquiring radar data of a radar detection target object in real time when an elevator car is in a first state; wherein the first state is a state in which a door of the elevator car is not fully closed;
the passenger number acquisition module is used for acquiring the number of first passengers entering the elevator car and the number of second passengers walking out of the elevator car by adopting a clustering algorithm according to the radar data;
and the passenger counting module is used for counting the number of the passengers increased or decreased in the elevator car according to the first passenger number and the second passenger number.
Optionally, the apparatus further comprises:
the passenger judging module is used for judging whether passengers are in the elevator car or not before radar data of a radar detection target object is acquired in real time and if the elevator car is in the second state; wherein the second state is a state in which doors of the elevator car are fully closed;
the initial passenger number obtaining module is used for obtaining the initial passenger number in the elevator car if a passenger is in the elevator car; assigning an initial number of passengers in the elevator car to 0 if no passengers are in the elevator car.
Optionally, the apparatus further comprises:
and the total number counting module is used for counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or the difference of the initial number of passengers and the number of passengers decreased in the elevator car after counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers.
According to the elevator car people counting method and device, when the elevator car is in the first state, radar data of a radar detection target object obtained in real time are analyzed through a clustering algorithm, the number of first passengers entering the elevator car and the number of second passengers walking out of the elevator car are obtained, and the number of passengers increased or decreased in the elevator car is counted according to the number of the first passengers and the number of the second passengers, so that the total number of passengers in the elevator car is obtained; therefore, the number of passengers in the elevator car can be more accurately obtained by analyzing the dynamic radar data of the target object, so that the statistical error of the number of passengers in the elevator car is reduced. .
Drawings
Fig. 1 is a flow chart of a people counting method for an elevator car according to an embodiment of the invention;
fig. 2 is a flow chart of a method of analyzing the number of people entering or exiting an elevator car provided by an embodiment of the present invention;
fig. 3 is a flow chart of another elevator car people counting method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a people counting device of an elevator car according to an embodiment of the invention;
fig. 5 is a schematic structural view of a people counting device for an elevator car according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
The embodiment of the invention provides a method for counting the number of people in an elevator car, which can be suitable for counting the number of people in the elevator car. The elevator car people counting method provided by the embodiment of the invention can be executed by the elevator car people counting device provided by the embodiment of the invention, and the device can be realized by software and/or hardware. Fig. 1 is a flow chart of a method for counting people in an elevator car according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s110, when the elevator car is in a first state, acquiring radar data of a radar detection target object in real time; wherein the first state is a state in which the doors of the elevator car are not fully closed.
Specifically, the state that the door of the elevator car is not completely closed may be, for example, that the door of the elevator car is being opened, is being closed, or the door of the elevator car is in a completely opened state, and in this state, a passenger may enter or exit the elevator car, and at this time, the radar set in the elevator car may use the passenger who enters or exits the elevator car, etc. as a target object, and obtain a signal reflected by the target object in real time, as radar data for detecting the target object, so as to facilitate analysis of the number of passengers who enter or exit the elevator car. The radar for detecting the target object may be a millimeter-wave radar.
And S120, acquiring the number of first passengers entering the elevator car and the number of second passengers leaving the elevator car by adopting a clustering algorithm according to the radar data.
Specifically, when different passengers are taken as targets, the radar can obtain a plurality of radar data, and the clustering algorithm can classify the radar data of the different targets, for example, the radar data corresponding to the passenger entering the elevator car is taken as a type of radar data, the radar data corresponding to the person leaving the elevator car is taken as a type of radar data, and the radar data corresponding to the same passenger is taken as a type of radar data. Therefore, radar data corresponding to passengers entering the elevator car and radar data corresponding to passengers leaving the elevator car can be distinguished by adopting a clustering algorithm; then, radar data corresponding to different passengers in radar data corresponding to passengers entering the elevator car are distinguished to obtain the number of passengers entering the elevator car, namely the number of first passengers; meanwhile, the radar data corresponding to different passengers in the radar data corresponding to the passengers walking out of the elevator car are distinguished, so that the number of the passengers walking out of the elevator car, namely the number of the second passengers is obtained.
And S130, counting the number of the passengers increased or decreased in the elevator cage according to the number of the first passengers and the number of the second passengers.
Specifically, after determining the number of persons entering the elevator car (the first passenger number) and the number of persons exiting the elevator car (the second passenger number), the number of passengers increased or decreased in the elevator car can be counted by the difference between the first passenger number and the second passenger number. When the difference value between the number of the first passengers and the number of the second passengers is a and a is greater than or equal to 0, a person is added in the elevator car; and when the difference between the number of the first passengers and the number of the second passengers is-b and-b is less than 0, it can be concluded that b persons are reduced in the elevator car. Therefore, under the condition of knowing the number of passengers (namely the initial number of passengers) in the elevator car, the total number of the passengers in the current elevator car can be known by combining the increased or decreased number of the passengers in the elevator car, on one hand, when the situations of elevator failure, outage and the like occur, whether the passengers are trapped in the elevator car or not is judged in time, so that rescue measures can be implemented in time when the passengers are trapped in the elevator car; on the other hand, when the total number of passengers in the elevator car is obtained, whether the number of passengers in the current elevator car exceeds the preset number of load-bearing passengers of the elevator car or not can be judged, and an alarm is timely given out when the number of passengers in the current elevator car exceeds the preset number of load-bearing passengers of the elevator car.
The method for obtaining the initial number of passengers in the elevator car can be, for example, initializing the elevator car when the elevator car starts to be powered on, and assigning the initial number of passengers in the elevator car to be 0; then when the door of the elevator car is opened, radar data corresponding to a target object entering or leaving the elevator car is detected in real time through a radar, namely the difference value between the number of passengers entering the elevator car and the number of passengers leaving the elevator car at present can be obtained, and the number of passengers added in the elevator car at present can be obtained according to the difference value; and taking the sum of the initial value passenger number and the current increased passenger number as the initial passenger number when the elevator car is opened next time. By circulating the steps, the number of the passengers increased or decreased in the elevator car and the total number of the passengers in the elevator car can be obtained in real time.
In the embodiment, when the elevator car is in a first state, a clustering algorithm is adopted to analyze radar data of a radar detection target object acquired in real time, so as to acquire the number of first passengers entering the elevator car and the number of second passengers leaving the elevator car, and the number of passengers increased or decreased in the elevator car is counted according to the number of the first passengers and the number of the second passengers, so as to acquire the total number of passengers in the elevator car; therefore, the number of passengers in the elevator car can be more accurately obtained by analyzing the dynamic radar data of the target object, so that the statistical error of the number of passengers in the elevator car is reduced.
Optionally, fig. 2 is a flowchart of a method for analyzing the number of people entering or leaving an elevator car according to an embodiment of the present invention. As shown in fig. 2, the method for acquiring the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by using the clustering algorithm to detect the radar data of the target object by the radar specifically includes:
and S121, performing two times of fast Fourier transform on the radar data to acquire data information of the speed and the distance of the target object.
Specifically, the data received by the radar is data of a reflected signal reflected by the target object after a scanning signal is transmitted to the target object, and a range-velocity diagram is obtained by performing Fast Fourier Transform (FFT) on the data of the reflected signal twice. The range-velocity graph has a horizontal axis representing the distance of the object and a vertical axis representing the velocity of the object, so that the relationship graph of the distance and the velocity of the object, namely the data information of the velocity and the distance can be obtained.
And S122, removing data with zero speed in the data information of the speed and the distance of the target object, and extracting point cloud data of the target object.
Specifically, since the effective target detected by the radar is a passenger entering or exiting the elevator car, the effective target is a moving target having a certain velocity, which is not 0, whereas the velocity of a stationary target such as a metal wall of the elevator car is usually 0. The data point with the speed of 0 in the data information of the distance and the speed of the target object is removed, so that the influence of static target objects such as a metal wall of an elevator car on the detection of effective target objects can be weakened; meanwhile, data obtained after removing the data points with the speed of 0 can be detected to obtain the sensitivity of the radar to detect the target object, And the detection method can include, for example, constant false alarm rate detection (CFAR), And data with high enough sensitivity is used as point cloud data of the effective target object.
And S123, performing third fast Fourier transform on the point cloud data to acquire azimuth information of the point cloud data.
And S124, acquiring the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by adopting a clustering algorithm according to the data information and the direction information of the speed and the distance of the target object.
Specifically, the third fast fourier transform is performed on the point cloud data of the effective target object, so that the relationship among the distance, the speed and the azimuth of the target object can be obtained, that is, the azimuth information corresponding to the point cloud data can be obtained. Therefore, the distance and the speed of the target objects with different directions can be obtained through the distance, the speed and the direction information of the effective target objects, and the total number of the effective target objects with positive speed and the total number of the target objects with negative speed can be obtained by adopting a clustering algorithm. When the direction entering the elevator car is positive and the direction leaving the elevator car is negative, the distance, the speed and the direction information of the effective target object can be used for obtaining the distance and the speed of the target objects in different directions, and the clustering algorithm can be adopted to obtain the number of first passengers entering the elevator car and the number of second passengers leaving the elevator car.
So, through carrying out simple fast Fourier transform to radar data, can obtain respectively and get into and walk out the personnel quantity of elevator car to can count out the passenger number in the elevator car through simple method, thereby under the prerequisite that improves the statistics rate of accuracy, improve the efficiency of people statistics.
Optionally, fig. 3 is a flowchart of another method for counting people in an elevator car according to an embodiment of the present invention. As shown in fig. 3, the method for counting the number of people in the elevator car comprises the following steps:
s310, judging whether passengers are in the elevator car when the elevator car is in the second state; if yes, go to S320; if not, executing S330; wherein the second state is a state in which the doors of the elevator car are fully closed;
s320, acquiring the number of initial passengers in the elevator car;
and S330, assigning the initial passenger number in the elevator car to be 0.
Specifically, when the door of the elevator car is in a fully closed state, a person cannot walk out or enter the elevator car until the next time the door of the elevator car is opened, and then the person can enter or leave the elevator car. Judging whether passengers exist in the current elevator car or not when the door of the elevator car is in a completely closed state, acquiring the number of the passengers in the current elevator when the passengers exist in the current elevator, and taking the number of the passengers as the initial number of the passengers when the elevator is opened next time; alternatively, when there is no passenger in the elevator car, the initial passenger number may be considered to be 0, and the initial passenger number may be directly assigned. Thus, by knowing the initial number of passengers in the elevator car, statistics of the total number of passengers in the elevator car can be achieved. Alternatively, by determining whether or not a passenger is in the elevator car, it is possible to know whether or not a passenger is trapped in the elevator car when the elevator car is stopped or has a failure.
The method for judging whether passengers are in the elevator car can be, for example: through weighing to elevator car, judge whether the weight that this elevator car weighed has surpassed preset weight. When the weighing weight of the elevator car exceeds the preset weight, the elevator car can be considered to have passengers; and when the weighed weight of the elevator car does not exceed the preset weight, it can be considered that no passengers are in the elevator car.
The method for judging whether passengers exist in the elevator car can also comprise the following steps: and acquiring an infrared signal detected by an infrared sensor, and judging whether thermal radiation exists in the elevator car. Because the infrared sensor is sensitive to heat radiation, when passengers are in the elevator car, the passengers can emit heat radiation; thus, when the infrared sensor detects the presence of thermal radiation, it can be determined that a passenger is present in the elevator car; and when the infrared sensor detects that no thermal radiation is present, it can be determined that no passengers are present in the elevator car.
The method for judging whether passengers exist in the elevator car can also comprise the following steps: acquiring a radar signal of a target object in a radar detection elevator car; performing fast Fourier transform on the radar signal to acquire distance information of a target object; extracting a phase of the radar signal corresponding to the distance information; and judging whether the phase of the radar signal corresponding to the distance information is a change value. Usually, when passengers exist in an elevator car, the passengers can move with limbs more or less, the speed of a target object can be obtained after two times of fast Fourier transform is carried out on a radar signal, and when the target object with the speed not being 0 exists, the passengers exist in the elevator car. When passengers in the elevator car do not move physically (for example, passengers fall down in the car), when the radar signals are subjected to FFT twice, whether the passengers exist can not be judged according to the speed of a target object; in this case, the detection of the minute vibration/displacement signal (for example, heartbeat or respiration) can be performed by the millimeter wave radar phase detection method. The method comprises the steps that an initial radar signal can be obtained when an elevator car is an empty car, and when whether passengers exist in the elevator car or not is detected, subtraction is carried out by means of range FFT values of two times of fast Fourier transform of the radar signal obtained in real time and range FFT values of two times of fast Fourier transform of the initial radar signal, so that the distance of a target object is obtained.
Illustratively, in general, the amplitude of typical breath of an adult varies from 1mm to 12mm, and the frequency of breath varies from 0.1Hz to 0.5 Hz; the amplitude of the typical heartbeat motion of an adult is changed within the range of 0.1 mm-0.5 mm, and the frequency of the typical heartbeat motion of the adult is changed within the range of 0.8 Hz-2 Hz; the relation between the phase change delta phi and the action amplitude delta R of the radar is as follows:
where λ is the wavelength, f is the frequency, and c is the speed of light. As can be seen from the above equation, the higher the frequency, the larger the operation width, and the larger the phase change. For the three common 24G, 60G and 77G bands, the phase change Δ Φ is 5.73 °, 14.32 ° and 18.38 °, respectively, considering an extreme case motion amplitude Δ R of 0.1 mm. In this way, even if the radar signal changes greatly in phase due to a small operation, the small vibration can be detected by the change in phase of the radar signal to determine whether or not a passenger is present in the car. When the phase change is adopted to judge whether passengers exist in the elevator car, a band-pass filter with corresponding cut-off frequency can be selected according to the frequency characteristic of a signal to be extracted, for example, when a heartbeat signal is extracted, the upper cut-off frequency and the lower cut-off frequency can be 0.8 Hz-2 Hz; and when the respiratory signal is extracted, the upper and lower cut-off frequencies can be selected from 0.1Hz to 0.5 Hz.
In addition, when passengers exist in the elevator car, the initial passenger number in the current elevator car can be obtained according to the ratio of the weighed weight of the elevator car to the average human weight; or, acquiring the initial passenger number according to the energy intensity of the reflected signal of the radar detection target object. The method for obtaining the initial passenger in the elevator car is not particularly limited in the embodiment of the invention.
S340, when the elevator car is in a first state, acquiring radar data of a radar detection target object in real time; wherein the first state is a state in which the doors of the elevator car are not fully closed.
And S350, acquiring the number of first passengers entering the elevator car and the number of second passengers leaving the elevator car by adopting a clustering algorithm according to the radar data.
And S360, counting the number of the passengers increased or decreased in the elevator car according to the number of the first passengers and the number of the second passengers.
And S370, counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or the difference of the initial number of passengers and the number of passengers decreased in the elevator car.
Specifically, after the initial number of passengers in the elevator car is obtained, when the number of passengers entering the elevator car is larger than the number of passengers exiting the elevator car, the number of passengers added to the elevator car is obtained according to the difference value between the first number of passengers and the second number of passengers, and the total number of passengers in the elevator car can be obtained according to the sum of the number of passengers added to the elevator car and the initial number of passengers; alternatively, when the number of passengers entering the elevator car is smaller than the number of passengers exiting the elevator car, the reduced number of passengers in the elevator car is obtained from the difference between the second number of passengers and the first number of passengers, and the total number of passengers in the elevator car is also obtained by subtracting the reduced number of passengers in the elevator car from the initial number of passengers. Wherein the total number of passengers in the current elevator car can be considered to be 0 when the initial number of passengers minus the reduced number of passengers in the elevator car is less than or equal to 0.
The embodiment of the invention also provides a device for counting the number of people in the elevator car, which can be suitable for counting the number of people in the elevator car. The elevator car people counting device provided by the implementation of the invention can be realized by software and/or hardware. The elevator car people counting device can be used for executing the elevator car people counting method provided by the embodiment of the invention, so the elevator car people counting device has the beneficial effect of the elevator car people counting method. The beneficial effects of the elevator car people counting device provided by the embodiment of the invention can refer to the description of the elevator car people counting method, and are not repeated herein.
Exemplarily, fig. 4 is a schematic structural diagram of a people counting device of an elevator car according to an embodiment of the present invention. As shown in fig. 4, the elevator car people counting apparatus includes a radar data acquisition module 41, a passenger number acquisition module 42, and a passenger number counting module 43. The radar data acquisition module 41 is used for acquiring radar data of a radar detection target object in real time when the elevator car is in a first state; wherein the first state is a state in which a door of the elevator car is not completely closed; the passenger number acquisition module 42 is used for acquiring the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by adopting a clustering algorithm according to the radar data; the passenger counting module 43 is used for counting the number of passengers increased or decreased in the elevator car according to the number of the first passengers and the number of the second passengers.
Optionally, fig. 5 is a schematic structural diagram of a people counting device for an elevator car according to an embodiment of the present invention. As shown in fig. 5, the passenger number acquisition module 42 may include a relationship data acquisition unit 421, a point cloud data acquisition unit 422, an orientation information acquisition unit 423, and a passenger number acquisition unit 424. The data obtaining unit 421 is configured to perform two fast fourier transformations on the radar data to obtain data information of the speed and the distance of the target object; the point cloud data acquiring unit 422 is configured to remove data with a speed of zero from the data information of the speed and the distance of the target object, and extract point cloud data of the target object; the orientation information acquiring unit 423 is configured to perform third fast fourier transform on the point cloud data to acquire orientation information of each point cloud data; the passenger number obtaining unit 424 is used for obtaining the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by adopting a clustering algorithm according to the data information and the direction information between the speed and the distance of the target object.
Optionally, with continuing reference to fig. 5, on the basis of the above-described embodiment, the elevator car people counting device further includes a passenger judging module 44 and an initial passenger number obtaining module 45. The passenger judging module 44 is configured to judge whether a passenger is in the elevator car before radar data of the radar detection target object is obtained in real time and if the elevator car is in the second state; wherein the second state is a state in which the doors of the elevator car are fully closed; the initial passenger number obtaining module 45 is used for obtaining the initial passenger number in the elevator car if a passenger is in the elevator car; if no passenger is in the elevator car, the initial number of passengers in the elevator car is assigned to 0.
Optionally, the passenger determination module 44 is specifically configured to: judging whether the weight of the elevator car exceeds a preset weight or not; or acquiring an infrared signal detected by the infrared sensor and judging whether the elevator car has heat radiation.
Optionally, the passenger determining module 44 is specifically configured to: acquiring a radar signal of a target object in a radar detection elevator car; performing fast Fourier transform on the radar signal to acquire distance information of a target object; extracting a phase of the radar signal corresponding to the distance information; and judging whether the phase of the radar signal corresponding to the distance information is a change value.
Optionally, the initial passenger number obtaining module 45 is specifically configured to: when passengers exist in the elevator car, acquiring the initial passenger number according to the ratio of the weighed weight of the elevator car to the average human weight; or, acquiring the initial passenger number according to the energy intensity of the reflected signal of the radar detection target object.
Optionally, with continued reference to fig. 5, on the basis of the above-described embodiment, the elevator car people counting apparatus further includes a total counting module 46; the total counting module 46 is used for counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or according to the difference between the initial number of passengers and the number of passengers decreased in the elevator car after counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers.
The elevator car people counting device provided by the embodiment can execute the elevator car people counting method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the elevator car people counting method. The technical details not described in detail in the above embodiments can be referred to the people counting method of the elevator car provided in any embodiment of the invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious modifications, rearrangements, combinations and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A people counting method of an elevator car is characterized by comprising the following steps:
when the elevator car is in a first state, acquiring radar data of a radar detection target object in real time; wherein the first state is a state in which a door of the elevator car is not fully closed;
obtaining, using a clustering algorithm, a first number of passengers entering the elevator car and a second number of passengers exiting the elevator car based on the radar data comprises:
performing two times of fast Fourier transform on the radar data to acquire data information of the speed and the distance of the target object;
removing data with zero speed in the data information of the speed and the distance of the target object, and extracting point cloud data of the target object;
performing third fast Fourier transform on the point cloud data to acquire azimuth information of each point cloud data;
acquiring the number of first passengers entering the elevator car and the number of second passengers exiting the elevator car by adopting a clustering algorithm according to the data information of the speed and the distance of the target object and the azimuth information;
counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers.
2. The method of claim 1, wherein prior to obtaining radar data of the radar detection target in real time while the elevator car is in the first state, further comprising:
when the elevator car is in a second state, judging whether passengers are in the elevator car; wherein the second state is a state in which doors of the elevator car are fully closed;
if so, acquiring the initial number of passengers in the elevator car;
and if not, assigning the initial passenger number in the elevator car as 0.
3. The method of claim 2, further comprising, after counting the number of passengers in the elevator car that are increasing or decreasing based on the first number of passengers and the second number of passengers:
counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or according to the difference between the initial number of passengers and the number of passengers decreased in the elevator car.
4. The method of claim 2, wherein determining whether a person is present in the elevator car comprises:
judging whether the weight of the elevator car exceeds a preset weight or not; alternatively, the first and second electrodes may be,
and acquiring an infrared signal detected by an infrared sensor, and judging whether thermal radiation exists in the elevator car.
5. The method of claim 2, wherein determining whether a person is present in the elevator car comprises:
acquiring a radar signal of the radar detecting a target object in the elevator car;
carrying out one-time fast Fourier transform on the radar signal to acquire the distance information of the target object;
extracting a phase of the radar signal corresponding to the distance information;
and judging whether the phase of the radar signal corresponding to the distance information is a variation value.
6. The method of claim 2, wherein obtaining an initial number of passengers in the elevator car comprises:
acquiring the initial passenger number according to the ratio of the weighed weight of the elevator car to the average human weight; alternatively, the first and second electrodes may be,
and acquiring the initial passenger number according to the energy intensity of the reflected signal of the target object detected by the radar.
7. A people counting device of an elevator car is characterized by comprising:
the system comprises a radar data acquisition module, a data processing module and a data processing module, wherein the radar data acquisition module is used for acquiring radar data of a radar detection target object in real time when an elevator car is in a first state; wherein the first state is a state in which a door of the elevator car is not fully closed;
the passenger number acquisition module is used for acquiring the number of first passengers entering the elevator car and the number of second passengers walking out of the elevator car by adopting a clustering algorithm according to the radar data;
the passenger number acquisition module includes: the system comprises a relation data acquisition unit, a point cloud data acquisition unit, an orientation information acquisition unit and a passenger number acquisition unit;
the data acquisition unit is used for performing two times of fast Fourier transform on the radar data to acquire data information of the speed and the distance of a target object;
the point cloud data acquisition unit is used for removing data with zero speed in the data information of the speed and the distance of the target object and extracting point cloud data of the target object;
the azimuth information acquisition unit is used for performing third-time fast Fourier transform on the point cloud data to acquire azimuth information of each point cloud data;
the passenger number obtaining unit is used for obtaining the number of first passengers entering the elevator car and the number of second passengers leaving the elevator car by adopting a clustering algorithm according to data information and direction information between the speed and the distance of the target object;
and the passenger counting module is used for counting the number of the passengers increased or decreased in the elevator car according to the first passenger number and the second passenger number.
8. The apparatus of claim 7, further comprising:
the passenger judging module is used for judging whether passengers are in the elevator car or not before radar data of a radar detection target object is acquired in real time and if the elevator car is in the second state; wherein the second state is a state in which doors of the elevator car are fully closed;
the initial passenger number obtaining module is used for obtaining the initial passenger number in the elevator car if a passenger is in the elevator car; assigning an initial number of passengers in the elevator car to 0 if no passengers are in the elevator car.
9. The apparatus of claim 8, further comprising:
and the total number counting module is used for counting the total number of passengers in the elevator car according to the sum of the initial number of passengers and the number of passengers increased in the elevator car or the difference of the initial number of passengers and the number of passengers decreased in the elevator car after counting the number of passengers increased or decreased in the elevator car according to the first number of passengers and the second number of passengers.
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| WO2019216469A1 (en) * | 2018-05-11 | 2019-11-14 | 서울대학교 산학협력단 | Method and device for clustering detected targets in vehicle radar system |
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| CN110329857A (en) * | 2019-07-12 | 2019-10-15 | 东南大学 | A kind of intelligent elevator control system based on UWB detection |
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