Wheelchair-equivalent user identification method for elevator

Abstract

Disclosed is a method for identifying a wheelchair-equivalent user for an elevator, the wheelchair-equivalent user being an elevator user who takes a vehicle equipped with wheels to move between an elevator car and a landing, or an elevator user who carries a vehicle equipped with wheels. The carrier utilizes rolling of wheels relative to a landing or a car ground to achieve movement on the landing or the car ground, and vibration signals of an elevator car are monitored when an elevator user enters the car from the landing. And judging whether the vibration of the elevator car is generated by collision of wheels on a car sill when the carrier enters the car along with the elevator user according to the vibration signal calculated value, and identifying the elevator user entering the car as a wheelchair-equivalent user when the judgment result is yes. According to the method for identifying the wheelchair-equivalent user of the elevator, the wheelchair-equivalent user can be identified simply and conveniently.

Description

Technical Field

[0001] The present invention relates to the technical field of elevators, and in particular to a method for identifying a wheelchair user of an elevator. Background Art

[0002] Wheelchair-accessible elevators have both wheelchair-specific call buttons and general call buttons in their cabins. When a passenger registers using the wheelchair-specific call button, the system registers the call as a wheelchair call, and controls the cabin in wheelchair mode when it reaches the destination floor of the registered wheelchair call. Wheelchair mode control includes door opening extension control that extends the door opening time of the cabin door at the destination floor, door stop control that opens the door after the cabin stops completely at the destination floor, etc. Therefore, wheelchair mode control can improve the safety of wheelchair users when getting off the cabin. However, in reality, there are also cases where non-wheelchair passengers operate the wheelchair-specific call button in the cabin, so that the wheelchair mode control is executed even though the non-wheelchair user is getting off the cabin at their destination floor, resulting in reduced elevator operation efficiency.

[0003] In response to the above problems, Document 1 (CN201811449414.7) proposes to determine whether there are wheelchair passengers among the passengers who want to take the elevator based on the analysis results of the images captured by the camera, and when there are no wheelchair passengers and the wheelchair-specific elevator call button in the car is operated, the elevator call signal from the wheelchair-specific elevator call button in the car is processed by the general elevator call button processing method. Although Document 1 solves the above problems, for wheelchair users (such as passengers pushing strollers, children riding on buses, etc., although these passengers are not wheelchair users, they also hope to get the convenience brought by wheelchair mode control such as door opening extension control and door opening stop control), the general elevator call button elevator processing method is still used, so the friendliness for wheelchair users needs to be improved.

[0004] In view of the shortcomings of document 1, document 2 (CN202211479879.3) proposes to judge whether there is a wheelchair equivalent user according to the comparison result of the acceleration signal of the car and the specific vibration information as the information related to the vibration generated in the car chamber when the wheelchair equivalent user moves between the floor station and the car chamber, and the specific vibration information is obtained in advance by supervised machine learning. Although document 2 can solve the problem of document 1, since the specific vibration information used as a comparison benchmark is obtained by supervised machine learning, and the actual installation and debugging results of each elevator, the situation of the same elevator at different floors (such as the distance between the car door sill and the floor door sill), and the leveling error of the elevator each time it stops at the floor station will be different, it is necessary to obtain respective sample data for each elevator, each floor station and various leveling errors (even various types of wheelchair equivalent users). Obviously, such sample data is very difficult to obtain, the amount of sample data is large, the difficulty of generating sample data is high, and the time required is long, which is difficult to achieve in engineering practice.

[0005] Therefore, how to simply and conveniently identify wheelchair users becomes a technical problem to be solved. Summary of the invention

[0006] The technical problem to be solved by the present invention is how to simply and conveniently realize the identification of a wheelchair user.

[0007] In order to solve the above technical problems, the present invention discloses a method for identifying wheelchair-equivalent users of elevators, wherein the wheelchair-equivalent user refers to an elevator user who rides a vehicle equipped with wheels to achieve movement between an elevator car and a landing station, or an elevator user who carries a vehicle equipped with wheels, and the vehicle achieves movement on the landing station or the car floor by rolling of wheels relative to the landing station or the car floor. The method is characterized in that during the period when the elevator user enters the car from the landing station, the vibration signal of the elevator car is monitored, and it is determined based on the calculated value of the vibration signal whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user, and when the judgment result is yes, the elevator user currently entering the car is identified as a wheelchair-equivalent user.

[0008] Preferably, the calculated value of the vibration signal is the amplitude of the vibration signal in the depth direction of the car, or the calculated value of the vibration signal is the ratio of the amplitude of the vibration signal in the depth direction of the car to the amplitude of the vibration signal in the vertical direction.

[0009] Preferably, the identification method first uses typical stages to perform waveform matching on the waveform of the vibration signal calculation value that changes with time, and judges whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the typical stages in the matching results and their adjacent relationships.

[0010] Preferably, the typical stages are: the identification method divides the typical waveform of the vibration signal calculation value generated by the wheels of the vehicle hitting the car sill when entering the car with the elevator user into stages according to the waveform characteristics of the vibration signal calculation value, and obtains six typical stages that constitute the typical waveform.

[0011] Preferably, when the matching result includes the first typical stage, the sixth typical stage, and at least one of the second to fifth typical stages, and the temporal sequence relationship of the typical stages included in the matching result satisfies a predetermined order, it is determined that the vibration is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user.

[0012] Preferably, the waveform matching refers to sliding matching of the waveform of the vibration signal calculation value according to the waveform characteristics of a typical stage. When there is a specific waveform segment in the waveform of the vibration signal calculation value, it is determined that the typical stage exists in the waveform of the vibration signal calculation value. The specific waveform segment refers to a waveform whose waveform characteristics differ from the waveform characteristics of the typical stage by less than a threshold.

[0013] Preferably, when the calculated value of the car vibration signal satisfies any of the following conditions, it is determined that the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user:

[0014] Condition 1: the vibration signal calculation value increases from less than the first threshold to more than the second threshold;

[0015] Condition 2: the vibration signal calculated value increases from less than the first threshold value to more than the second threshold value, and the rate of change of the vibration signal calculated value during the increase process exceeds the third threshold value;

[0016] Condition 3: the vibration signal calculation value first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold;

[0017] Condition 4: The calculated value of the vibration signal first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold, and the change rate of the calculated value of the vibration signal during the increase and decrease processes exceeds the fourth threshold.

[0018] Preferably, each threshold is determined by at least one of the following methods:

[0019] Mode 1: The smaller the diameter of the wheel, the larger the threshold values;

[0020] Method 2: The larger the gap between the landing door sill and the car door sill, the larger the thresholds;

[0021] Mode 3: The smaller the quotient obtained by dividing the diameter of the wheel by the gap between the landing door sill and the car door sill, the larger the threshold values ​​are;

[0022] Mode 4: The greater the mass of the vehicle or the total mass of the elevator user and the vehicle, the greater the threshold values;

[0023] Mode 5: The greater the rigidity of the wheel, the greater the threshold values;

[0024] Mode 6: The greater the rotation speed of the wheel or the moving speed of the vehicle, the greater the threshold values.

[0025] Preferably, the identification method selects a time window of a preset length, positions the end point of the time window at the current moment, calculates the characteristic value of the calculated value of the gap vibration signal within the time window, and if the difference between the characteristic value corresponding to the current moment and the reference value exceeds a fifth threshold value, it is determined that the vibration of the elevator car at the current moment is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

[0026] Preferably, if the duration from the starting time when the difference obtained by subtracting the reference value from the vibration signal calculation value exceeds the ninth threshold to the ending time when the difference obtained by subtracting the reference value from the vibration signal calculation value is less than the ninth threshold is less than the tenth threshold, it is determined that the vibration of the elevator car at the current moment is caused by the wheels hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

[0027] Preferably, the method for calculating the baseline value is: using a cluster analysis algorithm to perform cluster analysis on part or all of the historical data of the vibration signal calculation value before the current moment, to obtain a first group of data with relatively large vibration signals and a second group of data with relatively small vibration signals; calculating the characteristic value of the second group of data, and using the characteristic value as the baseline value.

[0028] Preferably, the preset length of the time window is such that: when there is a vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, there is at least one specific moment at which there is at least one vibration signal with a calculated value less than the reference value on both sides of the vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, thereby ensuring that the time window can cover all vibration signals corresponding to a complete process of a wheelchair user entering the car.

[0029] Beneficial technical effects

[0030] Compared with the prior art, the present invention determines whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the calculated value of the elevator car vibration signal, and when the judgment result is yes, the elevator user who is currently entering the car is identified as a wheelchair user, thereby being able to simply and conveniently identify the wheelchair user. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of a baby carriage in Example 1 in which the rollers roll over the floor door sill and the car door sill;

[0032] Figure 2 Schematic diagram of typical changes in the car vibration signal when a wheelchair user enters the car from a landing in Example 1. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention. It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not represent a specific order or sequence.

[0034] Example 1

[0035] As can be seen from the background technology, the common feature of wheelchair users is that vehicles (wheelchairs, baby carriages, strollers, etc.) all have wheels, and the diameter of the (relatively small) wheels is usually smaller than the gap between the floor door sill and the car door sill, which is about 2 cm. The wheel diameter is usually no more than 15 cm. Figure 1As shown, when the wheelchair user enters the car, the wheels will first fall from the corner of the floor door sill to the lower right, with a slightly increasing speed until the lower right edge of the wheel hits the corner of the car door sill, the speed decreases rapidly, and then continues to move toward the car until entering the car.

[0036] Figure 2 The following is a typical schematic diagram of the changes in the car vibration signal when a wheelchair user enters the car from the landing. Figure 2 As shown:

[0037] Before time t1, it is the vibration signal of the car before the vehicle wheel hits the car door sill corner, and the vibration level at this time is the first level;

[0038] The moment t1 is the first moment when the wheel first contacts the corner of the car door sill. Since the wheel usually has a certain elasticity (the greater the stiffness, the smaller the elasticity), the impact force of the wheel on the car door sill will gradually increase, and the vibration of the car will also gradually increase. The greater the stiffness and the smaller the elasticity of the wheel, the shorter the vibration increase process of the car. When the wheel deformation reaches the maximum, the impact force of the wheel on the car door sill reaches the maximum value, and the vibration (amplitude) of the car also reaches the maximum value (i.e., the fourth level), which corresponds to the moment t2;

[0039] After the wheel hits the door sill corner and the deformation reaches the maximum, the horizontal moving speed of the vehicle will decrease, and the impact force of the wheel on the door sill corner will also decrease rapidly, which is reflected in the car vibration sliding from the fourth level to the second level. The corresponding time is t3;

[0040] After the vehicle decelerates, the wheelchair user will increase the horizontal thrust on the vehicle to restore the horizontal moving speed, so the force of the wheels on the door sill angle will increase again, so the vibration of the car (actually refers to the amplitude) will also increase from the second level to the third level, which corresponds to t4;

[0041] After time t4, the wheels pass through the gap between the floor door sill and the car door sill and enter the car, then the force exerted by the wheels on the car disappears, and the vibration level of the car returns to the first level when no wheelchair user enters the car.

[0042] It should be pointed out that when the leveling error (i.e. the vertical distance between the floor door sill and the car door sill) is not taken into account, the fourth level must be greater than the third level for the following reasons:

[0043] Since there is a certain gap between the floor door sill and the car door sill, during the process of the vehicle moving toward the car, from the moment when the contact point between the wheel and the floor door sill changes from the lowest point of the wheel to the non-lowest point (the contact point is located on the left side of the vertical line passing through the wheel shaft) to the moment when the wheel contacts the car door sill angle, the wheel has a certain degree of decline compared to before, and under the influence of gravity, the wheel speed increases slightly, and the first moving speed of the vehicle also increases accordingly; the second moving speed of the vehicle between t3 and t4 is usually also less than the third moving speed between t1. The increase of the first moving speed relative to the third moving speed and the decrease of the second moving speed relative to the third moving speed, the combined effect of these two makes the fourth level necessarily greater than the third level.

[0044] Based on the above analysis, this embodiment provides the following method for identifying wheelchair users of elevators:

[0045] The wheelchair-equivalent user refers to an elevator user who rides a vehicle equipped with wheels to move between an elevator car and a landing station (such as a wheelchair passenger, a child riding a stroller, a stroller passenger, etc.), or an elevator user who carries a vehicle equipped with wheels (such as a wheeled robot), and the vehicle uses wheels to roll relative to the landing station or the floor of the car to achieve movement on the landing station or the floor of the car. It is characterized in that during the period when the elevator user enters the car from the landing station, the vibration signal of the elevator car is monitored, and it is determined based on the calculated value of the vibration signal whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the elevator user enters the car, and when the judgment result is yes, the elevator user who is currently entering the car is identified as a wheelchair-equivalent user.

[0046] The car vibration signal mainly includes the first vibration component in the car depth direction and the second vibration component in the vertical direction. When a wheelchair user enters the car from the floor station, the impact on the car vibration is mainly reflected in the first vibration component. The first vibration component is significantly higher than the component in the direction parallel to the elevator door. Therefore, the amplitude of the vibration signal in the car depth direction is used as the vibration signal calculation value for judgment. Without wasting valuable information in the vibration signal, the influence of external interference (from the component in the direction parallel to the elevator door and the component in the vertical direction) on the judgment result is weakened or even eliminated, thereby improving the accuracy of the judgment result.

[0047] In addition, the ratio of the amplitude of the vibration signal in the depth direction of the car to the amplitude of the vibration signal in the vertical direction can also be used as the vibration signal calculation value for judgment. Because when the wheelchair user enters the car from the floor station, the impact on the vibration of the car is mainly reflected in the first vibration component and the vertical component. Usually, the latter is smaller than the former, but the relative size between the two is usually determined by the gap between the floor door sill and the car door sill, the leveling error, the diameter of the vehicle wheel, etc. Under normal circumstances, when the wheelchair user enters the car from the floor station, the relative size between the first vibration component and the vertical component of the car vibration signal will remain within a preset range. Therefore, using this point to judge whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the elevator user enters the car can also improve the accuracy of the judgment result.

[0048] Example 2

[0049] Based on Example 1, this example further explains how to determine whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the calculated value of the vibration signal.

[0050] Depend on Figure 2 As can be seen from the description in Example 1, when a wheelchair user enters the car from the floor station, the change in the vibration signal of the car usually includes the following typical stages: the first stage before t1, the second stage between t1 and t2, the third stage between t2 and t3, the fourth stage between t3 and t4, the fifth stage between t4 and t5, and the sixth stage after t5.

[0051] Therefore, it can be used to identify whether there are various stages in the vibration signal and whether the adjacent relationship between the various stages is Figure 2 The vibration is determined by the wheels of the vehicle hitting the sill of the elevator car when the vehicle enters the elevator car with the elevator user, as shown below:

[0052] Firstly, the waveform of the calculated value of the vibration signal changing with time is matched by using typical stages, and according to the typical stages in the matching results and their adjacent relationships, it is judged whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user.

[0053] When the matching result includes the first typical stage, the sixth typical stage, and at least one of the second to fifth typical stages, and the temporal sequence of the typical stages included in the matching result satisfies a predetermined sequence, it is determined that the vibration is caused by the wheels of the vehicle hitting the sill of the car when the vehicle enters the car with the elevator user.

[0054] The waveform matching refers to sliding matching (i.e. sliding along the time axis) of the waveform of the vibration signal calculation value according to the waveform characteristics of a typical stage. When a specific waveform segment exists in the waveform of the vibration signal calculation value, it is determined that the typical stage exists in the waveform of the vibration signal calculation value. The specific waveform segment refers to a waveform whose waveform characteristics differ from the waveform characteristics of the typical stage by less than a threshold. The waveform characteristics refer to the amplitude, rate of change, relative size, geometric shape (such as a straight line, a triangle, a trapezoid, and a polygon formed with the coordinate axis, etc.) of the waveform, or it is also required that the amplitude, rate of change, and shape of the waveform should last for a certain period of time.

[0055] As can be seen from the above description, the technical solution provided in this embodiment utilizes the prior knowledge of typical signals when the wheels collide, divides the physical process of the collision and its corresponding typical waveform signals into typical stages, analyzes and extracts the waveform features of each typical stage, uses the waveform features of the typical stage to perform waveform matching on the waveform of the actual vibration signal calculation value, and finally makes a judgment based on the matching result. Obviously, this is a complex and in-depth application of vibration calculation value information.

[0056] Example 3

[0057] Based on Example 1, this example further explains how to determine whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the amplitude of the calculated value of the vibration signal.

[0058] When the calculated value of the car vibration signal satisfies any of the following conditions, it is determined that the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user:

[0059] Condition 1: the vibration signal calculation value increases from less than the first threshold to more than the second threshold;

[0060] Condition 2: the vibration signal calculated value increases from less than the first threshold value to more than the second threshold value, and the rate of change of the vibration signal calculated value during the increase process exceeds the third threshold value;

[0061] Condition 3: the vibration signal calculation value first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold;

[0062] Condition 4: The calculated value of the vibration signal first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold, and the change rate of the calculated value of the vibration signal during the increase and decrease processes exceeds the fourth threshold.

[0063] Each threshold is determined by at least one of the following methods:

[0064] Mode 1: The smaller the diameter of the wheel, the larger the threshold values;

[0065] Method 2: The larger the gap between the landing door sill and the car door sill, the larger the thresholds;

[0066] Mode 3: The smaller the quotient obtained by dividing the diameter of the wheel by the gap between the landing door sill and the car door sill, the larger the threshold values ​​are;

[0067] Mode 4: The greater the mass of the vehicle or the total mass of the elevator user and the vehicle, the greater the threshold values;

[0068] Mode 5: The greater the rigidity of the wheel, the greater the threshold values;

[0069] Mode 6: The greater the rotation speed of the wheel or the moving speed of the vehicle, the greater the threshold values.

[0070] Example 4

[0071] Based on Example 1, this example further explains how to determine whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the calculated value of the vibration signal.

[0072] The identification method uses any of the following methods to determine whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user:

[0073] Method 1: Select a time window of preset length, locate the end point of the time window at the current moment, calculate the characteristic value of the gap vibration signal calculation value within the time window, and if the difference between the characteristic value corresponding to the current moment and the reference value exceeds the fifth threshold value, it is determined that the vibration of the elevator car at the current moment is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

[0074] Method 2: If the duration from the start time when the difference obtained by subtracting the reference value from the vibration signal calculation value exceeds the ninth threshold to the end time when the difference obtained by subtracting the reference value from the vibration signal calculation value is less than the ninth threshold is less than the tenth threshold, then it is determined that the vibration of the elevator car at the current moment is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

[0075] Preferably, the calculation method of the reference value in the above method is: using a cluster analysis algorithm to perform cluster analysis on part of the amplitude of the vibration signal before the current moment (preferably historical data closer to the current moment) or all historical data, to obtain a first group of data with relatively large vibration signals and a second group of data with relatively small vibration signals; calculating the characteristic values ​​of the second group of data (except the minimum value, i.e., the average value, maximum value, median, mean square value, etc.), and using the characteristic values ​​as the reference value.

[0076] The vibration signal before the current moment usually includes a part of the vibration signal when there is a wheel collision and a part of the vibration signal when there is no wheel collision. When cluster analysis is used, these vibration signals will inevitably be divided into two groups. The first group of data corresponds to the vibration signal when there is a wheel collision, and the second group of data corresponds to the vibration signal when there is no wheel collision. Since the vibration data reflects the impact level, the data in the first group will inevitably be greater than the data in the second group, so the data in the second group can be used as the benchmark value. Since the vibration signal calculation value is used, the corresponding benchmark value also uses the calculated value corresponding to the second group of data.

[0077] Preferably, the preset length of the time window in the above method is such that: when there is a vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, there is at least one specific moment at which there is at least one vibration signal with a calculated value less than the reference value on both sides of the vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, thereby ensuring that the time window can cover all vibration signals corresponding to a complete process of a wheelchair user entering the car.

Claims

1. A method for identifying a wheelchair user of an elevator, wherein the wheelchair user refers to an elevator user who rides a vehicle equipped with wheels to move between an elevator car and a landing, or an elevator user who carries a vehicle equipped with wheels, wherein the vehicle moves on a landing or a car floor by rolling the wheels relative to the landing or the car floor, characterized in that: While the elevator user is entering the car from the floor station, the vibration signal of the elevator car is monitored. Based on the calculated value of the vibration signal, it is determined whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user. When the judgment result is yes, the elevator user currently entering the car is identified as a wheelchair user.

2. The method for identifying a wheelchair user for an elevator according to claim 1, characterized in that: The calculated value of the vibration signal is the amplitude of the vibration signal in the depth direction of the car, or the calculated value of the vibration signal is the ratio of the amplitude of the vibration signal in the depth direction of the car to the amplitude of the vibration signal in the vertical direction.

3. The method for identifying a wheelchair user for an elevator according to claim 1, characterized in that: The identification method first uses typical stages to perform waveform matching on the waveform of the vibration signal calculation value that changes with time, and judges whether the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user based on the typical stages in the matching results and their adjacent relationships.

4. The method for identifying a wheelchair user for an elevator according to claim 3, characterized in that: The typical stages are: the identification method divides the typical waveform of the vibration signal calculation value generated by the wheels of the vehicle hitting the car sill when entering the car with the elevator user into stages according to the waveform characteristics of the vibration signal calculation value, and obtains six typical stages that constitute the typical waveform.

5. The method for identifying a wheelchair user for an elevator according to claim 3, characterized in that: When the matching result includes the first typical stage, the sixth typical stage, and at least one of the second to fifth typical stages, and the temporal sequence of the typical stages included in the matching result satisfies a predetermined sequence, it is determined that the vibration is caused by the wheels of the vehicle hitting the sill of the car when the vehicle enters the car with the elevator user.

6. The method for identifying a wheelchair user for an elevator according to claim 3, characterized in that: The waveform matching refers to sliding matching of the waveform of the vibration signal calculation value according to the waveform characteristics of a typical stage. When there is a specific waveform segment in the waveform of the vibration signal calculation value, it is determined that the typical stage exists in the waveform of the vibration signal calculation value. The specific waveform segment refers to a waveform whose waveform characteristics differ from the waveform characteristics of the typical stage by less than a threshold.

7. The method for identifying a wheelchair user for an elevator according to claim 1, characterized in that: When the calculated value of the car vibration signal satisfies any of the following conditions, it is determined that the vibration of the elevator car is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user: Condition 1: the vibration signal calculation value increases from less than the first threshold to more than the second threshold; Condition 2: the vibration signal calculated value increases from less than the first threshold value to more than the second threshold value, and the rate of change of the vibration signal calculated value during the increase process exceeds the third threshold value; Condition 3: the vibration signal calculation value first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold; Condition 4: The calculated value of the vibration signal first increases from less than the first threshold to more than the second threshold, and then decreases from more than the second threshold to less than the first threshold, and the change rate of the calculated value of the vibration signal during the increase and decrease processes exceeds the fourth threshold.

8. The method for identifying a wheelchair user of an elevator according to claim 7, characterized in that: Each threshold is determined by at least one of the following methods: Mode 1: The smaller the diameter of the wheel, the larger the threshold values; Method 2: The larger the gap between the landing door sill and the car door sill, the larger the thresholds; Mode 3: The smaller the quotient obtained by dividing the diameter of the wheel by the gap between the landing door sill and the car door sill, the larger the threshold values ​​are; Mode 4: The greater the mass of the vehicle or the total mass of the elevator user and the vehicle, the greater the threshold values; Mode 5: The greater the rigidity of the wheel, the greater the threshold values; Mode 6: The greater the rotation speed of the wheel or the moving speed of the vehicle, the greater the threshold values.

9. The method for identifying a wheelchair user for an elevator according to claim 1, characterized in that: The identification method selects a time window of a preset length, positions the end point of the time window at the current moment, and calculates the characteristic value of the gap vibration signal calculation value within the time window. If the difference between the characteristic value corresponding to the current moment and the reference value exceeds a fifth threshold, it is determined that the vibration of the elevator car at the current moment is caused by the wheels of the vehicle hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

10. The method for identifying a wheelchair user for an elevator according to claim 1, characterized in that: If the duration from the starting time when the difference obtained by subtracting the reference value from the vibration signal calculation value exceeds the ninth threshold to the ending time when the difference obtained by subtracting the reference value from the vibration signal calculation value is less than the ninth threshold is less than the tenth threshold, it is determined that the vibration of the elevator car at the current moment is caused by the wheels hitting the car sill when the vehicle enters the car with the elevator user, and the reference value is the vibration level of the elevator car when there is no wheelchair user entering or exiting the car.

11. The method for identifying a wheelchair user for an elevator according to claim 9 or 10, characterized in that: The calculation method of the reference value is: A cluster analysis algorithm is used to perform cluster analysis on part or all of the historical data of the vibration signal calculation value before the current moment to obtain a first group of data with relatively large vibration signals and a second group of data with relatively small vibration signals; the characteristic value of the second group of data is calculated and the characteristic value is used as the reference value.

12. The method for identifying a wheelchair user for an elevator according to claim 9 or 10, characterized in that: The preset length of the time window is such that: when there is a vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, there is at least one specific moment at which there is at least one vibration signal with a calculated value less than the reference value on both sides of the vibration signal in the time window whose difference obtained by subtracting the reference value from the calculated value is greater than the sixth threshold, thereby ensuring that the time window can cover all vibration signals corresponding to a complete process of a wheelchair user entering the car.

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