CN111392562A - Method and device for determining running speed of escalator, computer equipment and storage medium - Google Patents
Method and device for determining running speed of escalator, computer equipment and storage medium Download PDFInfo
- Publication number
- CN111392562A CN111392562A CN202010218010.8A CN202010218010A CN111392562A CN 111392562 A CN111392562 A CN 111392562A CN 202010218010 A CN202010218010 A CN 202010218010A CN 111392562 A CN111392562 A CN 111392562A
- Authority
- CN
- China
- Prior art keywords
- escalator
- speed
- signal data
- determining
- preset area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B25/00—Control of escalators or moving walkways
- B66B25/003—Methods or algorithms therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B25/00—Control of escalators or moving walkways
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B27/00—Indicating operating conditions of escalators or moving walkways
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
Landscapes
- Escalators And Moving Walkways (AREA)
Abstract
The application relates to a method and a device for determining the running speed of an escalator, computer equipment and a storage medium, wherein the method comprises the following steps: receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves; performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data; determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum; and determining the target running speed of the escalator according to the passenger flow state in the preset area. The method realizes the timely adjustment of the running speed of the escalator according to the difference of the passenger flow conditions, enriches the running speed modes of the escalator, and improves the overall carrying efficiency of the escalator.
Description
Technical Field
The application relates to the technical field of elevator control, in particular to a method and a device for determining the running speed of an escalator, computer equipment and a storage medium.
Background
With the continuous development of economy, more and more escalators or moving sidewalks are put into use in places with dense passenger flow, such as subway stations, railway stations, airports and the like.
The existing escalator can be operated at a reduced speed when no person takes the escalator and can be operated at a normal speed when people use the escalator.
However, the determination mode of the running speed of the escalator is single, the running speed of the escalator cannot be adjusted in time according to the real-time passenger flow condition, and the overall carrying efficiency of the escalator is influenced.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for determining the operation speed of an escalator, which can improve the overall carrying efficiency of the escalator.
A method of determining the travel speed of an escalator, the method comprising:
receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
In one embodiment, the signal data sent by the detection device is time domain signal data; before the feature extraction is carried out on the signal data through the fast Fourier transform, the method further comprises the following steps: the time domain signal data is converted into frequency domain signal data by fast fourier transform.
In one embodiment, the performing feature extraction on the signal data through fast fourier transform to obtain an energy waveform feature spectrum and a velocity waveform feature spectrum of the signal data includes: acquiring a preset first characteristic parameter and a preset second characteristic parameter; according to the first characteristic parameter, calculating frequency domain signal data through fast Fourier transform to obtain a speed waveform characteristic spectrum; and according to the second characteristic parameter, calculating the frequency domain signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum.
In one embodiment, determining the passenger flow state in the preset region according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum comprises: and if a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum, determining the passenger flow state in the preset area as a congestion state.
In one embodiment, determining the target operating speed of the escalator based on the passenger flow conditions in the preset zone comprises: if the passenger flow state in the preset area is a congestion state, determining that the first running speed is the target running speed of the escalator; the first operating speed is greater than the normal operating speed of the escalator.
In one embodiment, the method for determining the target running speed of the escalator according to the passenger flow state in the preset area further comprises the following steps: if the passenger flow state in the preset area is other passenger flow states except for the congestion state, determining the walking speed of the personnel in the preset area according to the signal data sent by the detection equipment; if the walking speed of the personnel in the preset area is lower than the preset speed value, determining that the second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
In one embodiment, the method further comprises the following steps: determining prompt information corresponding to the target running speed of the escalator; the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
An escalator travel speed determining apparatus, comprising:
the signal data receiving module is used for receiving signal data sent by the detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
the characteristic extraction module is used for extracting the characteristics of the signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum and a speed waveform characteristic spectrum of the signal data;
the passenger flow state determining module is used for determining the passenger flow state in the preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and the target running speed determining module is used for determining the target running speed of the escalator according to the passenger flow state in the preset area.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
The method, the device, the computer equipment and the storage medium for determining the running speed of the escalator comprise the following steps: receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves; performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data; determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum; and determining the target running speed of the escalator according to the passenger flow state in the preset area. According to the method, signal acquisition is carried out in a preset area through detection equipment, an energy waveform characteristic spectrum and a speed waveform characteristic spectrum are obtained through fast Fourier transform calculation on signal data, the passenger flow state in the preset area is further determined, and the target running speed is determined according to different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
Drawings
Fig. 1 is an application scenario diagram of a method for determining the running speed of an escalator in one embodiment;
fig. 2 is a schematic flow chart of a method for determining the operating speed of an escalator in one embodiment;
FIG. 3 is a schematic view of a predetermined area in front of an entrance of an escalator in one embodiment;
FIG. 4(a) is a schematic diagram of a velocity waveform profile in one embodiment;
FIG. 4(b) is a schematic representation of another velocity waveform profile in one embodiment;
FIG. 4(c) is a schematic illustration of another velocity waveform profile in one embodiment;
FIG. 4(d) is a schematic diagram of an energy waveform profile in one embodiment;
FIG. 4(e) is a schematic diagram of another energy waveform profile in one embodiment;
FIG. 4(f) is a schematic representation of another energy waveform profile in one embodiment;
FIG. 5 is a flow chart illustrating the steps of obtaining an energy waveform profile and a velocity waveform profile of signal data in one embodiment;
FIG. 6 is a schematic flow chart of the steps for determining a target operating speed of an escalator based on passenger flow conditions within a preset zone in one embodiment;
fig. 7 is a block diagram showing the construction of an escalator operation speed determining device according to an embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for determining the running speed of the escalator can be applied to the application environment shown in figure 1. The server 11 receives the signal data sent by the detection device 12 through the network; the detection device 12 is disposed at an entrance and an exit of the escalator, and is configured to emit electromagnetic waves to a preset area in front of the entrance and the exit of the escalator, and generate signal data according to the returned electromagnetic waves. The server 11 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers. The detection device 12 may be a doppler radar sensor, a millimeter wave radar, or the like; the number of passengers and the walking speed in a preset area can be detected by using an ultrasonic sensor, a microwave sensor and the like; the server 11 can communicate with the escalator controller by means of generating instructions to further control the running speed of the escalator by means of the escalator controller.
In one embodiment, as shown in fig. 2, there is provided a method for determining the operation speed of an escalator, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
step S21, receiving signal data sent by the detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves.
The detection device may be a doppler radar sensor, etc., and other signal devices that can emit electromagnetic waves outwards at a fixed frequency and receive reflected signals to generate signal data may also be used as the detection device of the present application, such as a millimeter wave sensor; the working principle of the doppler radar sensor is the doppler effect, when the radar transmits a pulse wave with a fixed frequency to scan the space, if a moving target is encountered, the frequency difference between the frequency of the echo and the frequency of the transmitted wave is known as the doppler frequency. According to the Doppler frequency, the radial relative movement speed of the target to the radar can be measured; the distance to the target can be measured from the time difference between the transmitted pulse and the received pulse. Meanwhile, the Doppler frequency spectral line of the target is detected by a frequency filtering method, the spectral line of the interference clutter is filtered, and the target signal can be distinguished from the strong clutter by the radar. In the method, a plurality of different types of radar sensor equipment can be used as detection equipment and are respectively arranged at a plurality of positions in a preset area of an entrance and an exit of the escalator; for example, two pace sensors using a doppler radar sensor as a prototype are symmetrically arranged on two sides of an entrance of an escalator respectively, so as to improve the accuracy of signal data. Each detection device has a fixed sensing range, and the size of the preset area can be changed by adjusting the position of the detection device or adjusting the detection range of the sensor.
Specifically, as shown in a schematic diagram of a preset area in front of an entrance of an escalator in fig. 3, step speed sensors are respectively installed at the bottom parts of both sides of a handrail belt as detection equipment; the sensing range of each sensing device is shown by the dashed oval. When a passenger enters the comb plate of the escalator from the floor plate at a certain walking speed, the passenger can step into the sensing range of detection equipment such as a walking speed sensor. The pace speed sensor sends electromagnetic waves to a preset area and generates signal data in the preset area according to the obtained reflected electromagnetic waves; the detection equipment sends the signal data to the server, and the server further obtains the real-time passenger flow condition in the preset area according to the signal data.
The detection equipment in the step can be set according to specific conditions, can adapt to different occasions, and does not need to reform the escalator. The detection equipment is used for acquiring signals in a preset area, and generating signal data which can be used for analysis and processing according to the signals, so that data support is provided for the escalator operation speed determination method; further determining the passenger flow state in the preset area, and determining the target running speed according to different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
And step S22, performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data.
The Fast Fourier Transform (FFT) is a general name of an efficient and fast calculation method for calculating Discrete Fourier Transform (DFT) by using a computer, and is a fast algorithm of the DFT, and the algorithm of the DFT is obtained by improving the characteristics of the DFT such as odd, even, imaginary, real and the like. The Fourier transform is carried out on a time domain signal to obtain the frequency spectrum and the energy spectrum of the signal, the energy waveform characteristic spectrum is the energy spectrum, the horizontal axis represents the fast Fourier transform times, the vertical axis represents the energy value, and the energy waveform characteristic spectrum is one of the expressions of the signal intensity. The characteristic spectrum of the velocity waveform is a frequency spectrum, the horizontal axis represents the number of fast Fourier transform times, the vertical axis represents frequency shift, namely, the phase and frequency changes can be caused due to the propagation path difference, the difference between the transmitted frequency and the received frequency caused by the Doppler effect is called Doppler frequency shift, and the rule that the wave attribute changes in motion is disclosed.
Specifically, different characteristics of the signal data can be extracted respectively by setting different adjustment operation factors for fast fourier transform to calculate, so as to obtain an energy waveform characteristic spectrum and a velocity waveform characteristic spectrum. The velocity waveform characteristic spectrum, namely the velocity spectrum, can be regarded as a set of each frequency spectrum result obtained by combining multiple fast Fourier transforms with operation factors; a frequency spectrum is obtained after each fast Fourier transform, the frequency spectrum is the frequency characteristic of a reflected wave, the difference between the frequency of the reflected wave and the frequency of a transmitted wave is Doppler frequency shift, the moving speed of a target can be calculated according to a relational formula between the frequency shift and the speed, and a speed waveform characteristic spectrum is further obtained. Similarly, the energy waveform characteristic spectrum can also be obtained by combining the fast Fourier transform with the operation factor. It should be noted that the operation factor is not limited to the change of a certain parameter, and may be a method used for specific calculation or other settings on an object to be applied. The method comprises the following steps of calculating signal data by utilizing fast Fourier transform, obtaining different wave characteristics by utilizing different operation factors, correspondingly generating a characteristic spectrum for analysis, determining passenger flow conditions by the generated characteristic spectrum, and determining target running speed according to the different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
And step S23, determining the passenger flow state in the preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum.
Specifically, the passenger flow state refers to a passenger flow condition in a preset area; according to the analysis of the energy waveform characteristic spectrum and the speed waveform characteristic spectrum, the waveform characteristics can be respectively identified as three conditions that a single person continuously passes through a preset area, two persons pass through the preset area side by side and a plurality of persons are jammed and pass through the preset area; the passenger flow state corresponding to the waveform characteristics of the multi-person congested passing through the preset area is a congestion state; each passenger flow state corresponds to the characteristics of the waveform in the energy waveform characteristic spectrum and the speed waveform characteristic spectrum respectively. As shown in fig. 4, (a), (b), and (c) are wave characteristics corresponding to three passenger flow situations in the velocity-velocity waveform characteristic spectrum, respectively; it can be seen that when a single person continuously passes through the preset area, the speed waveform shows return-to-zero pulse, when two persons pass through the preset area side by side, the speed waveform shows non-return-to-zero continuous wave peaks, and when a plurality of persons are jammed and pass through the preset area, the speed waveform shows non-return-to-zero continuous wave peaks. As shown in fig. 4, (d), (e), (f) are the wave characteristics corresponding to three passenger flow situations in the energy waveform characteristic spectrum, respectively; it can be seen that when a single person continuously passes through the preset area, the energy waveform is in a pulse shape, the slope value is high, the energy value cannot reach 600, the energy is a slow accumulation process when two persons pass through the preset area side by side, the slope value is low, but the energy value can reach 600 finally, when multiple persons jam and pass through the preset area, the energy is large, the slope value is high, and the energy value is continuously kept near 600. Therefore, the passenger flow condition can be judged by combining the specific waveform characteristics in the energy waveform characteristic spectrum and the speed waveform characteristic spectrum. It should be noted that energy waveform characteristic spectrums obtained by extracting characteristics from signal data acquired by different types of detection devices through fourier transform may not be the same as the speed waveform characteristic spectrums, passenger passing experiments may be performed in advance to determine corresponding waveform characteristics, and specific parameters are set for identifying waveform characteristics by the server according to the waveform characteristics.
The passenger flow condition is determined by identifying the waveform characteristics in the obtained energy waveform characteristic spectrum and the speed waveform characteristic spectrum, the conversion between signal data and passenger flow data is realized, and the target running speed is determined according to different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
And step S24, determining the target running speed of the escalator according to the passenger flow state in the preset area.
The target running speed of the escalator is the running speed to be applied when the escalator is subjected to next speed adjustment.
Specifically, when the passenger flow state is identified as a congestion state, it indicates that a large number of passengers are gathered at the entrance of the escalator in the current preset area and need to be evacuated as soon as possible; the method for adjusting the running speed of the escalator is one of effective methods, so that the running speed which is faster than the normal running speed of the escalator is determined as the target running speed of the escalator, and the escalator adjusts the current running speed according to the target running speed so as to realize the accelerated evacuation of passenger flow. In addition, if the current passenger flow state is not in a congestion state, the passengers can be detected step by step, the walking speed of a certain passenger is obtained through a sensor, if the passenger is judged to have a slower walking speed, an operation speed lower than the normal operation speed of the escalator is adjusted to be used as the target operation speed of the escalator, and the passenger can be recovered to operate at the normal operation speed when the passenger gets on the escalator. It should be noted that the escalator can gradually adjust the speed mildly according to the target running speed and the current running speed; the detection of the pace of the passenger can be further calculated by signal data, such as:
wherein f isDIs the Doppler or difference frequency, f0To detect the transmission frequency of the device, v is the speed range of the moving object (i.e. the passenger), c0Is the speed of light, and a is the angle between the actual direction of motion and the sensor-target line. The Doppler frequency f can be roughly obtained according to the formulaDA correspondence relationship with the radial movement velocity v (may be made a equal to 0); for example: 44Hz (f)D)＝1Km/h(v)，8.8kHz(fD)＝200Km/h(v)。
Determining different target running speeds for the escalator by judging the passenger flow state in a preset area so as to adapt to different passenger flow states; the escalator has the advantages that the speed is preferentially increased to accelerate evacuation of passengers when people are crowded, the passengers who are inconvenient to move or slow to walk are preferentially taken care of when few people are crowded, the operation speed of the escalator is controlled according to the passenger flow condition, the operation speed of the escalator is timely adjusted according to the difference of the passenger flow condition, the operation speed mode of the escalator is enriched, and the overall carrying efficiency of the escalator is improved.
The escalator running speed determining method comprises the steps of receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves; performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data; determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum; and determining the target running speed of the escalator according to the passenger flow state in the preset area. According to the method, signal acquisition is carried out in a preset area through detection equipment, an energy waveform characteristic spectrum and a speed waveform characteristic spectrum are obtained through fast Fourier transform calculation on signal data, the passenger flow state in the preset area is further determined, and the target running speed is determined according to different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
In one embodiment, the signal data sent by the detection device is time domain signal data; before the step S12, before the feature extraction is performed on the signal data by the fast fourier transform, the method further includes: the time domain signal data is converted into frequency domain signal data by fast fourier transform.
Where the time domain is a function describing a mathematical function or a physical signal versus time. For example, a time domain waveform of a signal may express the change of the signal over time. If discrete time is considered, the function or signal in the time domain, the value at each discrete time point is known. If continuous time is considered, the value of the function or signal at any time is known. The frequency domain is a coordinate system used to describe the characteristics of a signal in terms of frequency. In electronics, control system engineering and statistics, the frequency domain plot shows the amount of signal in each given frequency band over a range of frequencies, and the frequency domain representation may also include information on the phase shift of each sinusoid, so that the frequency components can be recombined to recover the original time signal.
Specifically, when the server receives time domain signal data, the time domain signal data is converted into frequency domain signal data through fast fourier transform according to the characteristics of the signal data, and then characteristic extraction is performed based on the frequency domain signal data. The method comprises the steps of converting signal data sent by a radar sensor into frequency domain signal data for further analysis by utilizing the characteristic that the frequency domain can describe the characteristics of signals in the aspect of frequency, further determining the passenger flow state in a preset area, and determining the target running speed according to different passenger flow conditions; the escalator speed control device has the advantages that the running speed of the escalator can be timely adjusted according to different passenger flow conditions, running speed modes of the escalator are enriched, and the overall carrying efficiency of the escalator is improved.
In one embodiment, as shown in fig. 5, in step S12, the extracting the features of the signal data by fast fourier transform to obtain an energy waveform feature spectrum and a velocity waveform feature spectrum of the signal data includes:
step S51, acquiring a preset first characteristic parameter and a preset second characteristic parameter;
step S52, according to the first characteristic parameter, calculating frequency domain signal data through fast Fourier transform to obtain a speed waveform characteristic spectrum;
and step S53, according to the second characteristic parameters, calculating the frequency domain signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum.
Specifically, the first characteristic parameter and the second characteristic parameter correspond to two operation factors respectively, and an energy waveform characteristic spectrum and a velocity waveform characteristic spectrum can be obtained by calculating frequency domain signal data through fast fourier transform. The method comprises the following steps of extracting the characteristics of signal data through the characteristics of fast Fourier transform, further analyzing the passenger flow condition in the preset area through a waveform spectrum, realizing timely adjustment of the running speed of the escalator according to the difference of the passenger flow condition, enriching the running speed mode of the escalator, and improving the overall carrying efficiency of the escalator.
In one embodiment, the step S13 of determining the passenger flow status in the preset area according to the energy waveform characteristic spectrum and the velocity waveform characteristic spectrum includes: and if a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum, determining the passenger flow state in the preset area as a congestion state.
Specifically, in this step, it is required to detect whether the passenger flow state is a congestion state, and the energy waveform characteristic spectrum and the velocity waveform characteristic spectrum are simultaneously analyzed. And after the computer acquires the energy waveform characteristic spectrum and the speed waveform characteristic spectrum, identifying the waveform characteristics. As shown in fig. 4(c) and 4(f), if there are a plurality of continuous non-return-to-zero peaks in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than the preset slope value and energy values higher than the preset energy value in the energy waveform characteristic spectrum, it is determined that the passenger flow state in the preset area is the congestion state. The energy waveform characteristic spectrum and the speed waveform characteristic spectrum are detected through the preset characteristics, and the judgment of whether the current passenger flow state is the congestion state is realized.
In one embodiment, the step S14 of determining the target operation speed of the escalator according to the passenger flow state in the preset area includes: if the passenger flow state in the preset area is a congestion state, determining that the first running speed is the target running speed of the escalator; the first operating speed is greater than the normal operating speed of the escalator.
Specifically, the first running speed can be set according to specific conditions, but the first running speed is greater than the normal running speed of the escalator; the first operating speed may or may not be fixed. For example, when the preset area is preliminarily detected to be in a congestion state, the first operation speed is 1.5m/s, and if the preset area is still in the congestion state after a period of time, the first operation speed can be further dynamically adjusted to be 2m/s, so that passengers in the preset area can be evacuated as fast as possible. Further, after the first running speed is determined to be the target running speed of the escalator, a corresponding running speed control instruction can be generated, and the server sends the instruction to the escalator controller to realize the control of the running speed of the escalator. The step realizes the control of the accelerated running of the escalator according to the passenger flow condition by setting the first running speed as the target running speed, and timely adjusts the running speed of the escalator, thereby enriching the running speed mode of the escalator and improving the integral carrying efficiency of the escalator.
In one embodiment, as shown in fig. 6, the step S14 of determining the target operation speed of the escalator according to the passenger flow state in the preset area further includes:
step S61, if the passenger flow state in the preset area is other passenger flow states except the congestion state, determining the walking speed of the personnel in the preset area according to the signal data sent by the detection equipment;
step S62, if the walking speed of the personnel in the preset area is lower than the preset speed value, determining that the second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
The other passenger flow states are non-congestion states, and for example, a single person continuously passes through the preset area and two persons pass through the preset area side by side, the two persons are considered to be non-congestion. The second running speed can be set according to specific conditions, but the second running speed is slightly less than the normal running speed of the escalator; the second operating speed may or may not be fixed. For example, the normal operation speed of the escalator is 1.2m/s, and if a passenger with a slow pace or a small stride is detected, the second operation speed of 1.0m/s may be set as the target operation speed, or may be further set according to the pace of the passenger.
Specifically, the passenger flow state in the preset area is obtained according to the signal data sent by the detection device, and if the passenger flow state is not the congestion state, the speed measurement function of the sensor can be called to perform real-time ground-pace detection on the passenger. If it is detected that the step speed of the passenger is slow and lasts for a certain time, the second operation speed can be determined as the target operation speed. The second running speed is set as the target running speed, so that the running speed of the escalator can be adjusted by the passenger who looks after the escalator according to needs, the running speed modes of the escalator are enriched, and the safety of the passenger when the escalator is used is guaranteed.
In one embodiment, prompt information corresponding to the target running speed of the escalator is determined; the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
Specifically, the prompt information can be sent out to the outside in the form of sound, light and screen display. For example, when the target running speed is determined as the first running speed, a preset sound prompt of 'escalator acceleration running, please pay attention to underfoot' is used as a prompt message. The server can send the prompt information to a terminal device near the escalator and can be used for sending a prompt outwards, so that corresponding prompt is realized for personnel in the preset area. This step is through carrying out corresponding suggestion to the personnel in the predetermined area, has improved the safety when passenger uses the staircase to a certain extent.
In one embodiment, another method for determining the running speed of an escalator is provided:
the method can be based on a system which can detect the pace of passengers and control the escalator or the sidewalk according to the detection result, and the system can be composed of a Doppler radar sensor, an escalator controller, an escalator frequency converter and a contactor; an ultrasonic sensor or a microwave sensor may be used as the walking speed sensor to detect the number of passengers and the walking speed within a certain range. Taking Doppler radar sensor as an example, the Doppler radar sensor is at a fixed frequency f1Electromagnetic waves are emitted outwards, received reflected wave signals are subjected to FFT (fast Fourier transform), incident wave signals are converted into frequency domain signals from time domain signals for analysis, the number of people entering a preset area in front of the escalator is obtained through the number and amplitude of wave crests appearing in the frequency domain, corresponding frequency f is obtained through the position of each wave crest, and the walking speed of passengers is obtained through the relationship between frequency shift and movement speed. When the abnormal walking speed of the passengers or the abnormal passenger number is detected, the escalator controller judges the escalator operation speed mode according to the detection condition to adapt to the transportation of the current passenger number or the walking speed of the passengersFurthermore, the passenger can be reminded to pay attention to the change of the escalator running speed mode by outputting information such as acousto-optic prompts and the like, so that the passenger is reminded to take the escalator safely; changing the escalator operation speed mode includes, but is not limited to, changing the escalator operation speed, such as increasing the escalator operation speed to transport passengers faster, and decreasing the speed for the convenience of access by the mobility-handicapped; the change of the escalator operation speed mode can be carried out in any process of taking the escalator by the passenger, for example, the whole process of taking the escalator by the person who is inconvenient to walk is detected to be reduced in speed for operation, or the escalator can be reduced in speed for operation only in the process of getting in and out the escalator by the person who is inconvenient to walk, and after the person enters the escalator, the escalator controller restores to normal speed for operation until the passenger who is inconvenient to walk finishes taking the escalator; the output acousto-optic prompts include but are not limited to voice, operation instruction information, guidance and reminding passengers to safely board the escalator.
Secondly, in the embodiment, the people in the detection range are detected by the doppler radar sensor, and the number of people in the preset area and the average walking speed of each person (for example, the average speed within 2 seconds, the time length can be adjusted according to the actual situation) are obtained; when people entering the escalator at the entrance are detected and the walking speed of a plurality of people or all people is slow, the situation of congestion is confirmed, a voice prompt is sent, and the running speed of the escalator is improved. When the situation that the exit of the escalator is blocked is detected, a voice prompt is sent out, and the running speed of the escalator is reduced. When the entrance and exit are congested, if the congestion degree at the exit is greater than that at the entrance, the running speed of the escalator is reduced; if the congestion degree at the outlet is smaller than that at the inlet, the running speed of the escalator is increased; if the congestion condition at the exit is the same as that at the entrance, the running speed of the escalator is not changed.
In addition, when the number of people in the preset area is detected to be small (for example, less than or equal to 3 people), the detection of the passenger with the slow walking speed is preferentially executed and the passenger is identified as the person with the inconvenience in walking; when the presence of the walking inconvenience person in the preset area is detected (for example, the walking speed of the passenger is detected to be lower than 0.3 m/s), the escalator controller controls the escalator to operate at a reduced speed, so that the walking inconvenience person can more easily enter the escalator. When the number of people in the detection range reaches a certain value (for example, more than 3 people), whether the congestion state exists in the preset area is preferentially determined, and when the proportion of slow pace people in the crowd is detected to be higher than a preset threshold value, the congestion state in the preset area is identified. If the entrance is congested, the running speed of the escalator is increased to relieve the congestion condition of the entrance; and if the escalator exit is congested, reducing the running speed of the escalator to relieve the congestion condition at the exit. When the entrance and exit are congested, the escalator speed can be further adjusted according to the number of people who are congested.
It should be understood that although the steps in the flowcharts of fig. 2, 5, and 6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2, 5, and 6 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 7, there is provided an escalator operation speed determining apparatus including: a signal data receiving module 71, a feature extraction module 72, a passenger flow state determination module 73, and a target operating speed determination module 74, wherein:
a signal data receiving module 71, configured to receive signal data sent by the detection device; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
the feature extraction module 72 is configured to perform feature extraction on the signal data through fast fourier transform to obtain an energy waveform feature spectrum and a velocity waveform feature spectrum of the signal data;
the passenger flow state determining module 73 is configured to determine a passenger flow state in a preset region according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and the target running speed determining module 74 is used for determining the target running speed of the escalator according to the passenger flow state in the preset area.
In one embodiment, the feature extraction module 72 is further configured to convert the time domain signal data into frequency domain signal data by fast fourier transform.
In one embodiment, the feature extraction module 72 is further configured to obtain a preset first feature parameter and a preset second feature parameter; according to the first characteristic parameter, calculating frequency domain signal data through fast Fourier transform to obtain a speed waveform characteristic spectrum; and according to the second characteristic parameter, calculating the frequency domain signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum.
In one embodiment, the passenger flow state determining module 73 is further configured to determine that the passenger flow state in the preset area is the congestion state if it is detected that a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum.
In one embodiment, the target operation speed determination module 74 is further configured to determine that the first operation speed is a target operation speed of the escalator if the passenger flow state in the preset area is a congestion state; the first operating speed is greater than the normal operating speed of the escalator.
In one embodiment, the target operation speed determining module 74 is further configured to determine the walking speed of the people in the preset area according to the signal data sent by the detecting device if the passenger flow state in the preset area is a passenger flow state other than the congestion state; if the walking speed of the personnel in the preset area is lower than the preset speed value, determining that the second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
In one embodiment, the escalator operation speed determining device further comprises a prompt message sending module for determining prompt messages corresponding to the target escalator operation speed; the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
The specific definition of the escalator operation speed determination device can be referred to the above definition of the escalator operation speed determination method, and is not described herein again. The modules in the escalator operation speed determination device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the running speed determination data of the escalator. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of determining the travel speed of an escalator.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
In one embodiment, the processor, when executing the computer program, further performs the steps of: detecting signal data sent by equipment as time domain signal data; the time domain signal data is converted into frequency domain signal data by fast fourier transform.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a preset first characteristic parameter and a preset second characteristic parameter; according to the first characteristic parameter, calculating frequency domain signal data through fast Fourier transform to obtain a speed waveform characteristic spectrum; and according to the second characteristic parameter, calculating the frequency domain signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and if a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum, determining the passenger flow state in the preset area as a congestion state.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the passenger flow state in the preset area is a congestion state, determining that the first running speed is the target running speed of the escalator; the first operating speed is greater than the normal operating speed of the escalator.
In one embodiment, the processor, when executing the computer program, further performs the steps of: if the passenger flow state in the preset area is other passenger flow states except for the congestion state, determining the walking speed of the personnel in the preset area according to the signal data sent by the detection equipment; if the walking speed of the personnel in the preset area is lower than the preset speed value, determining that the second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining prompt information corresponding to the target running speed of the escalator; the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving signal data sent by detection equipment; the detection equipment is arranged at the entrance and exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in a preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
In one embodiment, the computer program when executed by the processor further performs the steps of: detecting signal data sent by equipment as time domain signal data; the time domain signal data is converted into frequency domain signal data by fast fourier transform.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a preset first characteristic parameter and a preset second characteristic parameter; according to the first characteristic parameter, calculating frequency domain signal data through fast Fourier transform to obtain a speed waveform characteristic spectrum; and according to the second characteristic parameter, calculating the frequency domain signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum.
In one embodiment, the computer program when executed by the processor further performs the steps of: and if a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum, determining the passenger flow state in the preset area as a congestion state.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the passenger flow state in the preset area is a congestion state, determining that the first running speed is the target running speed of the escalator; the first operating speed is greater than the normal operating speed of the escalator.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the passenger flow state in the preset area is other passenger flow states except for the congestion state, determining the walking speed of the personnel in the preset area according to the signal data sent by the detection equipment; if the walking speed of the personnel in the preset area is lower than the preset speed value, determining that the second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining prompt information corresponding to the target running speed of the escalator; the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored in a non-volatile computer-readable storage medium, which, when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of determining the travel speed of an escalator, the method comprising:
receiving signal data sent by detection equipment; the detection equipment is arranged at an entrance and an exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and the exit of the escalator and generating signal data according to the returned electromagnetic waves;
performing feature extraction on the signal data through fast Fourier transform to obtain an energy waveform feature spectrum and a speed waveform feature spectrum of the signal data;
determining the passenger flow state in the preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and determining the target running speed of the escalator according to the passenger flow state in the preset area.
2. The method of claim 1, wherein the signal data transmitted by the detection device is time domain signal data;
before the performing feature extraction on the signal data through fast fourier transform, further comprising:
converting the time domain signal data to frequency domain signal data by the fast Fourier transform.
3. The method of claim 2, wherein the performing feature extraction on the signal data by fast fourier transform to obtain an energy waveform feature spectrum and a velocity waveform feature spectrum of the signal data comprises:
acquiring a preset first characteristic parameter and a preset second characteristic parameter;
according to the first characteristic parameter, calculating the frequency domain signal data through the fast Fourier transform to obtain the speed waveform characteristic spectrum;
and according to the second characteristic parameter, calculating the frequency domain signal data through the fast Fourier transform to obtain the energy waveform characteristic spectrum.
4. The method of claim 1, wherein determining the passenger flow state in the preset region from the energy waveform profile and the velocity waveform profile comprises:
and if a plurality of continuous non-return-to-zero peaks exist in the speed waveform characteristic spectrum and a plurality of continuous peaks with slope values higher than a preset slope value and energy values higher than a preset energy value exist in the energy waveform characteristic spectrum, determining that the passenger flow state in the preset area is a congestion state.
5. The method of claim 4, wherein determining a target operating speed of the escalator based on the traffic conditions in the preset area comprises:
if the passenger flow state in the preset area is a congestion state, determining that a first running speed is a target running speed of the escalator; the first operating speed is greater than the normal operating speed of the escalator.
6. The method of claim 4, wherein determining a target operating speed of the escalator based on a passenger flow condition within the preset zone, further comprises:
if the passenger flow state in the preset area is other passenger flow states except the congestion state, determining the walking speed of the personnel in the preset area according to the signal data sent by the detection equipment;
if the walking speed of the personnel in the preset area is lower than a preset speed value, determining that a second running speed is the target running speed of the escalator; the second operating speed is less than the normal operating speed of the escalator.
7. The method according to any one of claims 1-6, further comprising:
determining prompt information corresponding to the target running speed of the escalator; and the prompt information is used for correspondingly prompting the personnel in the preset area when the running speed of the escalator is the target running speed.
8. An escalator travel speed determining apparatus, comprising:
the signal data receiving module is used for receiving signal data sent by the detection equipment; the detection equipment is arranged at an entrance and an exit of the escalator and used for emitting electromagnetic waves to a preset area in front of the entrance and the exit of the escalator and generating signal data according to the returned electromagnetic waves;
the characteristic extraction module is used for extracting the characteristics of the signal data through fast Fourier transform to obtain an energy waveform characteristic spectrum and a speed waveform characteristic spectrum of the signal data;
the passenger flow state determining module is used for determining the passenger flow state in the preset area according to the energy waveform characteristic spectrum and the speed waveform characteristic spectrum;
and the target running speed determining module is used for determining the target running speed of the escalator according to the passenger flow state in the preset area.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented by the processor when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010218010.8A CN111392562B (en) | 2020-03-25 | 2020-03-25 | Method and device for determining running speed of escalator, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010218010.8A CN111392562B (en) | 2020-03-25 | 2020-03-25 | Method and device for determining running speed of escalator, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111392562A true CN111392562A (en) | 2020-07-10 |
| CN111392562B CN111392562B (en) | 2022-03-08 |
Family
ID=71424730
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010218010.8A Active CN111392562B (en) | 2020-03-25 | 2020-03-25 | Method and device for determining running speed of escalator, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111392562B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112162276A (en) * | 2020-09-29 | 2021-01-01 | 成都瑞达物联科技有限公司 | Radar detection system for starting escalator and use method thereof |
| CN113044702A (en) * | 2021-03-09 | 2021-06-29 | 葛纪侠 | Intelligent control method and device for escalator and electronic equipment |
| CN113060628A (en) * | 2021-03-09 | 2021-07-02 | 葛纪侠 | Self-adaptive intelligent escalator system |
| CN113581987A (en) * | 2021-07-28 | 2021-11-02 | 广州广日电梯工业有限公司 | Energy-saving control method and device for personnel transportation equipment, equipment and storage medium |
| CN114036987A (en) * | 2021-11-12 | 2022-02-11 | 上海擎朗智能科技有限公司 | Escalator detection method and device, mobile equipment and storage medium |
| JP7074215B1 (en) * | 2021-01-12 | 2022-05-24 | フジテック株式会社 | How to detect the status of the exit of the passenger conveyor |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101343012A (en) * | 2008-08-26 | 2009-01-14 | 北京中星微电子有限公司 | Control method and system for escalator |
| JP2012166905A (en) * | 2011-02-15 | 2012-09-06 | Toshiba Elevator Co Ltd | Control device of passenger conveyer |
| CN102692627A (en) * | 2011-03-23 | 2012-09-26 | 哈赫公司 | Instrument and method for processing a doppler measurement signal |
| CN107304024A (en) * | 2016-04-19 | 2017-10-31 | 广东蓝水花智能电子有限公司 | A kind of handrail elevator safety guard |
| CN109547695A (en) * | 2018-12-12 | 2019-03-29 | 山东交通学院 | The holographic video monitoring system and method for capturing picture is oriented based on sound classification algorithm |
| CN109799538A (en) * | 2018-12-29 | 2019-05-24 | 清华大学 | Rays safety detection apparatus and its control method |
-
2020
- 2020-03-25 CN CN202010218010.8A patent/CN111392562B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101343012A (en) * | 2008-08-26 | 2009-01-14 | 北京中星微电子有限公司 | Control method and system for escalator |
| JP2012166905A (en) * | 2011-02-15 | 2012-09-06 | Toshiba Elevator Co Ltd | Control device of passenger conveyer |
| CN102692627A (en) * | 2011-03-23 | 2012-09-26 | 哈赫公司 | Instrument and method for processing a doppler measurement signal |
| CN107304024A (en) * | 2016-04-19 | 2017-10-31 | 广东蓝水花智能电子有限公司 | A kind of handrail elevator safety guard |
| CN109547695A (en) * | 2018-12-12 | 2019-03-29 | 山东交通学院 | The holographic video monitoring system and method for capturing picture is oriented based on sound classification algorithm |
| CN109799538A (en) * | 2018-12-29 | 2019-05-24 | 清华大学 | Rays safety detection apparatus and its control method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112162276A (en) * | 2020-09-29 | 2021-01-01 | 成都瑞达物联科技有限公司 | Radar detection system for starting escalator and use method thereof |
| JP7074215B1 (en) * | 2021-01-12 | 2022-05-24 | フジテック株式会社 | How to detect the status of the exit of the passenger conveyor |
| CN113044702A (en) * | 2021-03-09 | 2021-06-29 | 葛纪侠 | Intelligent control method and device for escalator and electronic equipment |
| CN113060628A (en) * | 2021-03-09 | 2021-07-02 | 葛纪侠 | Self-adaptive intelligent escalator system |
| CN113581987A (en) * | 2021-07-28 | 2021-11-02 | 广州广日电梯工业有限公司 | Energy-saving control method and device for personnel transportation equipment, equipment and storage medium |
| CN114036987A (en) * | 2021-11-12 | 2022-02-11 | 上海擎朗智能科技有限公司 | Escalator detection method and device, mobile equipment and storage medium |
| CN114036987B (en) * | 2021-11-12 | 2024-05-31 | 上海擎朗智能科技有限公司 | Staircase detection method and device, mobile equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111392562B (en) | 2022-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111392562B (en) | Method and device for determining running speed of escalator, computer equipment and storage medium | |
| US9097801B2 (en) | Obstacle detection apparatus and obstacle detection program | |
| US9121934B2 (en) | Radar system and detection method | |
| JP5396469B2 (en) | Detecting device for object in area near entrance / exit, detecting method thereof, and operation control device for elevator door | |
| JP5252639B2 (en) | Sensor device | |
| US6253879B1 (en) | Apparatus and method of determining overspeed of an elevator car | |
| JP2935420B2 (en) | FM radar equipment | |
| JP2017067756A (en) | Object detection device and object detection method | |
| JP4806949B2 (en) | Laser radar equipment | |
| JPWO2012081209A1 (en) | Traffic jam prediction method | |
| JP2007271559A (en) | Apparatus for detecting mobile object | |
| JP6283189B2 (en) | Radio wave sensor and detection method | |
| JP7119628B2 (en) | Target object detection method and device for vehicle | |
| JP6835784B2 (en) | Biological information detector | |
| JPH08129067A (en) | Apparatus and method for measuring distance and capable of estimating weather condition | |
| JP2000009828A (en) | Radar apparatus and object detecting method | |
| JP2012225837A (en) | Motion detector, and elevator with motion detector | |
| JP2015075388A (en) | Electric wave sensor and detection method | |
| JP3211792B2 (en) | FM-CW radar device | |
| JP3853642B2 (en) | Automotive radar equipment | |
| KR101927359B1 (en) | Malfunction Prevention Method by Vehicle Reflection Signal at the Radar Sensor based on Reflection and Malfuntion Prevention System thereof | |
| JP2018141763A (en) | Detector and control system | |
| JP7156447B1 (en) | PASSENGER CONVEYOR AND PASSENGER CONVEYOR DETECTION METHOD | |
| JPH07128440A (en) | Radar equipment | |
| KR101580014B1 (en) | Frequency modulated continuous wave radar apparatus and method for operating the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |