Processing Method and Device for Perceiving Elevator Position

Abstract

The present invention discloses a processing method and device for sensing elevator position, which relates to the field of elevator position sensing technology. The method includes running the elevator through its full stroke under no-load and rated-load conditions, recording the pulse signal data of the magnetic induction sensor when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor, and establishing a dual-mode reference database. The method also includes periodically performing no-load full-stroke detection on the elevator and analyzing the elevator's real-time stopping deviation. When the elevator loses power or fails, the method obtains the pulse counter counts corresponding to the current top and bottom sensors to determine the floor where the elevator stops due to the power outage or failure, analyzes the stopping deviation of the elevator due to the power outage or failure, and subtracts the real-time stopping deviation to obtain the actual stopping deviation of the elevator due to the power outage or failure, thereby determining the elevator's position. The method can quickly locate the floor where the elevator is trapped and its position in the hoistway, reducing response time, avoiding blind operation, and reducing the risk of secondary accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator position sensing, and in particular to a processing method and device for sensing an elevator position. Background Art

[0002] With the acceleration of urbanization, elevators, as a core tool for vertical transportation, are attracting increasing attention for their safety and operational efficiency. Elevator position sensing technology is key to ensuring accurate elevator stops, enabling intelligent dispatching, and ensuring passenger safety. However, traditional elevator position sensing methods have significant limitations in power outages or fault scenarios, making them unable to meet the high-precision and high-reliability positioning requirements of modern elevator systems.

[0003] In the Chinese invention application with application publication number CN119706544A, a method, device, equipment and storage medium for estimating the position of an elevator based on electrical signals are disclosed, including obtaining the voltage and current within a target time period by collecting electrical signals from the elevator traction machine; calculating the voltage frequency and current frequency of the elevator traction machine based on the voltage, current, target time period and the number of zero crossings of the electrical signal; calculating the angular velocity of the elevator traction machine based on the voltage frequency and the number of motor pole pairs, and calculating the angular velocity of the elevator traction machine based on the current frequency and the number of motor pole pairs; inputting the angular velocity obtained based on the voltage frequency or current frequency into the mathematical model of the elevator system to perform displacement calculation to obtain the displacement information of the elevator car; and determining the position information of the elevator car based on the displacement information and the accumulated displacement information of the elevator car in the current up or down phase.

[0004] In the aforementioned invention application, the method of analyzing the elevator's position by collecting electrical signals from the elevator's traction motor is effective during normal operation, but it suffers from significant drawbacks during power outages or faults. During these conditions, the electrical signals are distorted, causing the control system to misjudge the elevator's status and even trigger erroneous operations, posing safety hazards to elevator operation. These drawbacks can prevent the elevator from accurately locating itself under abnormal operating conditions, increasing the difficulty of rescue and impacting elevator safety and operational efficiency.

[0005] To this end, the present invention provides a processing method and device for sensing the position of an elevator. Summary of the Invention

[0006] (1) Technical problems solved

[0007] In response to the shortcomings of the existing technology, the present invention provides a processing method and device for sensing the position of an elevator. When the elevator is powered off or fails, the present invention obtains the pulse counter counts corresponding to the current top and bottom sensors, determines the floor where the elevator stops due to the power outage or failure, analyzes the elevator's stopping deviation due to the power outage or failure, subtracts the elevator's real-time stopping deviation, obtains the actual stopping deviation of the elevator due to the power outage or failure, determines the elevator's position, and can quickly locate the floor where the elevator is trapped and its position in the shaft, thereby reducing response time, avoiding blind operation, and reducing the risk of secondary accidents, thereby solving the technical problems recorded in the background technology.

[0008] (2) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: A processing method for sensing the position of an elevator comprises the following steps:

[0010] High-precision magnetic markers are installed at the leveling position of each floor on the shaft wall, and magnetic induction sensors are installed at the bottom and top of the car. The reference floor is set as the initial position. The elevator is operated under full stroke conditions under no-load and rated load conditions. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor are recorded to establish a dual-mode reference database.

[0011] The elevator regularly performs full-stroke testing without load, analyzes the corrected attenuation rate of the top and bottom sensors on each floor, and combines the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the mean amplitude deviation of the stop pulse signal. This is then imported into the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator.

[0012] When the elevator is powered off or fails, the pulse counter counts corresponding to the current top and bottom sensors are obtained to determine the floor where the elevator stops due to the power outage or failure. The elevator stop deviation is analyzed and the actual stop deviation is obtained after subtracting the elevator's real-time stop deviation to determine the elevator's position.

[0013] Furthermore, the magnetic induction sensor at the bottom of the car is aligned with the high-precision magnetic mark in the shaft, and the reference floor is set as the initial position. The direction of the elevator is determined by combining the action sequence of the magnetic induction sensors at the bottom and top of the car. When stationary, both sensors have no signal output; when going up, the magnetic induction sensor at the top of the car is triggered first, and then the magnetic induction sensor at the bottom of the car is triggered; when going down, the magnetic induction sensor at the bottom of the car is triggered first, and then the magnetic induction sensor at the top of the car is triggered.

[0014] Furthermore, the elevator is regularly tested for full stroke without load, and the pulse peak value of each floor of the current top and bottom sensors is compared with the reference peak value to obtain the initial attenuation rate of each floor of the current top and bottom sensors. The correction curve is called according to the real-time temperature to eliminate environmental interference, and the corrected attenuation rate of each floor of the current top and bottom sensors is obtained. The deviation of the corrected attenuation rate of each floor of the top and bottom sensors is sorted out. If the average attenuation rate deviation exceeds 5%, a single-side sensor fault is marked and a sensor maintenance prompt is sent out.

[0015] Furthermore, the full stroke detection of the elevator's no-load operation is performed to obtain the bottom sensor pulse signal data when the elevator is currently stopped at each floor. Combined with the corrected attenuation rate of the current bottom sensor on each floor, the corrected pulse signal data of the bottom sensor when the elevator is stopped at each floor is obtained. The corrected pulse signal data of the bottom sensor when the elevator is stopped at each floor is compared with the stop reference value to obtain the stop pulse signal amplitude deviation. After sorting, the mean of the stop pulse signal amplitude deviation is obtained, and the elevator stop deviation analysis model is imported to obtain the elevator's real-time stop deviation. When the elevator's real-time stop deviation exceeds the elevator stop deviation threshold, the elevator is corrected for the stop error.

[0016] Furthermore, when the elevator is powered off or fails, the pulse counter counts corresponding to the current top and bottom sensors are obtained to determine the floor where the elevator stops due to power outage or failure. If the elevator is going up, the pulse counter count corresponding to the top elevator is N+1, and the pulse counter count corresponding to the bottom elevator is N, and the elevator stops at floor N. If the elevator is going down, the pulse counter count corresponding to the top elevator is N, and the pulse counter count corresponding to the bottom elevator is N-1, and the elevator stops at floor N-1.

[0017] Furthermore, the bottom sensor pulse signal data of the current elevator stop is obtained, and combined with the corrected attenuation rate of the current bottom sensor elevator power-off or fault stop floor, the corrected pulse signal data of the bottom sensor when the elevator power-off or fault stop is obtained, and the corrected pulse signal data of the bottom sensor when the elevator power-off or fault stop is compared with the stop reference value to obtain the power-off or fault stop pulse signal amplitude deviation, and the elevator stop deviation analysis model is imported to obtain the elevator power-off or fault stop deviation, and after subtracting the elevator real-time stop deviation, the actual stop deviation of the elevator power-off or fault is obtained.

[0018] Furthermore, the elevator position is determined based on the elevator power outage or fault stop floor and the elevator power outage or fault actual stop deviation. When the elevator is going up, it is the elevator power outage or fault stop floor + the elevator power outage or fault actual stop deviation. If the elevator is going down, it is the elevator power outage or fault stop floor - the elevator power outage or fault actual stop deviation.

[0019] A processing device for sensing the elevator position, including:

[0020] The benchmark construction module installs high-precision magnetic markers at the leveling position of each floor on the shaft wall, and installs magnetic induction sensors at the bottom and top of the car. The benchmark floor is set as the initial position, and the elevator runs through the full stroke under no-load and rated load conditions. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum pulse signal value when passing each floor are recorded to establish a dual-mode benchmark database.

[0021] The real-time stop deviation analysis module regularly performs full-stroke testing of the elevator without load, analyzes the corrected attenuation rate of the top and bottom sensors on each floor, and combines the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the mean deviation of the stop pulse signal amplitude. This is then imported into the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator.

[0022] The elevator position sensing module obtains the pulse counter counts corresponding to the current top and bottom sensors when the elevator loses power or fails, determines the elevator's stopping floor, analyzes the elevator's stopping deviation, subtracts the elevator's real-time stopping deviation, and obtains the actual stopping deviation of the elevator due to power outage or failure to determine the elevator's position.

[0023] (3) Beneficial effects

[0024] The present invention provides a processing method and device for sensing elevator position, which has the following beneficial effects:

[0025] 1. Install high-precision magnetic markers at the leveling position of each floor on the shaft wall, and install magnetic induction sensors at the bottom and top of the car. Set the reference floor as the initial position, and run the elevator through the full stroke under no-load and rated load conditions. Record the magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor. Establish a dual-mode reference database and a "magnetic field fingerprint" database, which can quickly locate faults and reduce on-site investigation time. It only takes 10-15 minutes to calibrate a 40-story building, which is more than 80% more efficient than traditional manual calibration.

[0026] 2. Regularly conduct full-stroke inspections of the elevator without load, analyze the corrected attenuation rates of the current top and bottom sensors on each floor, and combine the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the average amplitude deviation of the stop pulse signal. Import the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator. This can identify sensor aging, installation deviation or electromagnetic interference problems, provide a benchmark for subsequent deviation correction, and promptly discover potential risks such as inaccurate leveling to avoid failure of the annual inspection due to excessive stop deviation.

[0027] 3. When the elevator loses power or fails, the pulse counter counts corresponding to the current top and bottom sensors are obtained to determine the floor where the elevator stops due to power outage or failure. The elevator's stopping deviation is analyzed and the actual stopping deviation is subtracted from the elevator's real-time stopping deviation to determine the elevator's position. This can quickly locate the floor where the elevator is trapped and its position in the shaft, reducing response time, avoiding blind operations, and reducing the risk of secondary accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 Schematic diagram of the process of the method for sensing the position of an elevator according to the present invention;

[0029] Figure 2 Schematic diagram of the structure of the processing device for sensing the position of an elevator according to the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0031] See also Figure 1 The present invention provides a processing method for sensing the position of an elevator, comprising the following steps:

[0032] Step 1: Install high-precision magnetic markers at the leveling position of each floor on the shaft wall, and install magnetic induction sensors at the bottom and top of the car. Set the reference floor as the initial position, run the elevator through the full stroke under no-load and rated load conditions, record the magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor, and establish a dual-mode reference database.

[0033] The step 1 includes the following:

[0034] Step 101. Install high-precision magnetic markers, such as magnetic scales or permanent magnets, at the leveling position of each floor on the shaft wall, and install magnetic induction sensors at the bottom and top of the car. Align the magnetic induction sensors at the bottom of the car with the high-precision magnetic markers in the shaft. Set the reference floor as the initial position. Determine the direction of the elevator's operation based on the action sequence of the magnetic induction sensors at the bottom and top of the car, and judge whether it is currently going up or down. A pulse counter receives the pulse signal from the magnetic induction sensor. In the upward mode, the pulse counter increases by 1 for each floor passed, and in the downward mode, the pulse counter decreases by 1 for each floor passed.

[0035] The direction of the elevator is determined by combining the action sequence of the magnetic induction sensors at the bottom and top of the car:

[0036] Stationary: Both sensors have no signal output. Ascending: The magnetic induction sensor at the top of the car is triggered first, followed by the magnetic induction sensor at the bottom of the car. Descending: The magnetic induction sensor at the bottom of the car is triggered first, followed by the magnetic induction sensor at the top of the car.

[0037] Step 102: When the elevator is operated for the first time, it is run through the full stroke under no-load and rated load conditions, and the magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when each floor is passed are recorded. A dual-mode benchmark database is established, and the test is repeated at different ambient temperatures. The effect of temperature on the pulse signal is recorded, and a temperature correction curve is generated.

[0038] When using, combine the contents in steps 101 and 102:

[0039] High-precision magnetic markers are installed at the leveling position of each floor on the shaft wall, and magnetic induction sensors are installed at the bottom and top of the car. The reference floor is set as the initial position, and the elevator is run through the full stroke under no-load and rated load conditions. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when each floor is passed are recorded. A dual-mode reference database and a "magnetic field fingerprint" database are established, which can quickly locate faults and reduce on-site troubleshooting time. It only takes 10-15 minutes to calibrate a 40-story building, which is more than 80% more efficient than traditional manual calibration.

[0040] Step 2: The elevator is regularly tested for full-stroke no-load operation. The corrected attenuation rate of the current top and bottom sensors on each floor is analyzed. Combined with the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor, the mean amplitude deviation of the stop pulse signal is obtained. The elevator stop deviation analysis model is imported to obtain the real-time stop deviation of the elevator.

[0041] The second step includes the following:

[0042] Step 201: The elevator is regularly tested for full-stroke no-load operation. The pulse peak value of the current top and bottom sensors on each floor is compared with the no-load reference peak value to obtain the initial attenuation rate of the current top and bottom sensors on each floor. The correction curve is called according to the real-time temperature to eliminate environmental interference to obtain the corrected attenuation rate of the current top and bottom sensors on each floor. The deviation of the corrected attenuation rate of the top and bottom sensors on each floor is sorted out. If the average attenuation rate deviation exceeds 5%, a single-side sensor fault is marked and a sensor maintenance prompt is sent out.

[0043] Step 202: When the elevator is in an unloaded state, record the reference pulse signal amplitude and landing position. Artificially introduce an amplitude deviation through an adjustable power supply or a variable load. Under each amplitude deviation, record the actual landing position of the elevator and calculate the position error. Repeat steps 2-3 under different amplitude deviations to obtain multiple sets of landing deviation data. Divide the experimental data into a training set and a test set. Fit a linear model with the training set and verify the model's prediction ability with the test set. Output the elevator landing deviation analysis model.

[0044] Step 203: Perform a full-stroke detection of the elevator's no-load operation to obtain the bottom sensor pulse signal data when the elevator currently stops at each floor. Combined with the corrected attenuation rate of the current bottom sensor on each floor, obtain the corrected pulse signal data of the bottom sensor when the elevator stops at each floor. Compare the corrected pulse signal data of the bottom sensor when the elevator stops at each floor with the no-load stop reference value to obtain the stop pulse signal amplitude deviation. After sorting, obtain the mean of the stop pulse signal amplitude deviation. Import the elevator stop deviation analysis model to obtain the elevator's real-time stop deviation. When the elevator's real-time stop deviation exceeds the elevator stop deviation threshold, perform stop error correction on the elevator.

[0045] When using, combine the contents in steps 201 to 203:

[0046] The elevator is regularly tested for its full no-load operation. The corrected attenuation rate of the current top and bottom sensors on each floor is analyzed. Combined with the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor, the mean amplitude deviation of the stop pulse signal is obtained. The elevator stop deviation analysis model is imported to obtain the real-time stop deviation of the elevator. This can identify sensor aging, installation deviation or electromagnetic interference problems, provide a benchmark for subsequent deviation correction, and promptly discover potential risks such as inaccurate leveling to avoid failure of the annual inspection due to excessive stop deviation.

[0047] Step 3: When the elevator is powered off or fails, obtain the pulse counter counts corresponding to the current top and bottom sensors to determine the floor where the elevator stops due to the power outage or failure. Analyze the elevator's stopping deviation due to the power outage or failure, subtract the elevator's real-time stopping deviation, and obtain the actual stopping deviation of the elevator due to the power outage or failure to determine the elevator's position.

[0048] The step three includes the following steps:

[0049] Step 301: When the elevator loses power or fails, obtain the pulse counter counts corresponding to the current top and bottom sensors to determine the floor where the elevator stops due to power outage or failure. If the elevator is going up, the pulse counter corresponding to the top elevator counts N+1, and the pulse counter corresponding to the bottom elevator counts N, and the elevator stops at floor N. If the elevator is going down, the pulse counter corresponding to the top elevator counts N, and the pulse counter corresponding to the bottom elevator counts N-1, and the elevator stops at floor N-1.

[0050] Step 302: Obtain the bottom sensor pulse signal data of the current elevator stop, combine it with the corrected attenuation rate of the current bottom sensor elevator power-off or fault stop floor, obtain the corrected pulse signal data of the bottom sensor when the elevator power-off or fault stop, compare the corrected pulse signal data of the bottom sensor when the elevator power-off or fault stop is compared with the load stop reference value to obtain the power-off or fault stop pulse signal amplitude deviation, import the elevator stop deviation analysis model, obtain the elevator power-off or fault stop deviation, subtract the elevator real-time stop deviation, and obtain the actual elevator power-off or fault stop deviation.

[0051] Step 303: Determine the elevator position based on the elevator power outage or fault stop floor and the actual stop deviation of the elevator power outage or fault. When the elevator is going up, the elevator power outage or fault stop floor + the actual stop deviation of the elevator power outage or fault is used. When the elevator is going down, the elevator power outage or fault stop floor - the actual stop deviation of the elevator power outage or fault is used.

[0052] When using, combine the contents in steps 301 to 303:

[0053] When the elevator loses power or fails, the pulse counter counts corresponding to the current top and bottom sensors are obtained to determine the floor where the elevator stops due to the power outage or failure. The elevator's stopping deviation is analyzed and subtracted from the elevator's real-time stopping deviation to obtain the actual stopping deviation of the elevator due to the power outage or failure. The elevator's position is determined and the trapped floor and position in the shaft can be quickly located, thus reducing response time, avoiding blind operations, and reducing the risk of secondary accidents.

[0054] See also Figure 2 The present invention provides a processing device for sensing the position of an elevator, comprising:

[0055] The benchmark construction module installs high-precision magnetic markers at the leveling position of each floor on the shaft wall, and installs magnetic induction sensors at the bottom and top of the car. The benchmark floor is set as the initial position, and the elevator runs through the full stroke under no-load and rated load conditions respectively. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor are recorded to establish a dual-mode benchmark database.

[0056] The real-time stop deviation analysis module regularly performs full-stroke detection on the elevator without load, analyzes the corrected attenuation rate of the current top and bottom sensors on each floor, and combines the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the mean amplitude deviation of the stop pulse signal. The elevator stop deviation analysis model is imported to obtain the real-time stop deviation of the elevator.

[0057] The elevator position sensing module obtains the pulse counter counts corresponding to the current top and bottom sensors when the elevator loses power or fails, determines the elevator's stopping floor, analyzes the elevator's stopping deviation, subtracts the elevator's real-time stopping deviation, and obtains the actual stopping deviation of the elevator due to power outage or failure to determine the elevator's position.

[0058] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0059] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0060] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A processing method for sensing the position of an elevator, characterized by: The steps include: Magnetic markers are installed at the leveling position of each floor on the shaft wall, and magnetic induction sensors are installed at the bottom and top of the car. The reference floor is set as the initial position. The elevator is operated under full stroke conditions under no-load and rated load conditions. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum value of the pulse signal when passing each floor are recorded to establish a dual-mode reference database. The elevator regularly performs full-stroke testing without load, analyzes the corrected attenuation rate of the top and bottom sensors on each floor, and combines the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the mean amplitude deviation of the stop pulse signal. This is then imported into the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator. When the elevator is powered off or fails, the corresponding pulse counter counts of the current top and bottom sensors are obtained to determine the floor where the elevator is powered off or fails, and the pulse signal data of the bottom sensor where the elevator is currently stopped is obtained. Combined with the corrected attenuation rate of the current bottom sensor where the elevator is powered off or fails, the corrected pulse signal data of the bottom sensor when the elevator is powered off or fails is obtained. The corrected pulse signal data of the bottom sensor when the elevator is powered off or fails is compared with the load stop reference value to obtain the pulse signal amplitude deviation when the elevator is powered off or fails. The elevator stop deviation analysis model is introduced to obtain the elevator power off or fault stop deviation. After subtracting the elevator real-time stop deviation, the actual stop deviation of the elevator when the elevator is powered off or fails is obtained. The elevator position is determined based on the elevator power outage or fault stop floor and the actual stop deviation of the elevator power outage or fault. When the elevator is going up, it is the elevator power outage or fault stop floor + the elevator power outage or fault actual stop deviation. If the elevator is going down, it is the elevator power outage or fault stop floor - the elevator power outage or fault actual stop deviation.

2. The method for sensing elevator position according to claim 1, characterized in that: The magnetic induction sensor at the bottom of the car is aligned with the magnetic mark in the hoistway, and the reference floor is set as the initial position. The direction of the elevator is determined by combining the action sequence of the magnetic induction sensors at the bottom and top of the car. When the elevator is stationary, both sensors have no signal output; When going up, the magnetic induction sensor on the top of the car is triggered first, and then the magnetic induction sensor at the bottom of the car is triggered; when going down, the magnetic induction sensor at the bottom of the car is triggered first, and then the magnetic induction sensor at the top of the car is triggered.

3. The method for sensing elevator position according to claim 1, wherein: The elevator is regularly tested for its full no-load operation. The pulse peak value of the current top and bottom sensors on each floor is compared with the no-load reference peak value to obtain the initial attenuation rate of the current top and bottom sensors on each floor. The correction curve is called according to the real-time temperature to eliminate environmental interference. The corrected attenuation rate of the current top and bottom sensors on each floor is obtained. The deviation of the corrected attenuation rate of the top and bottom sensors on each floor is sorted out. If the average attenuation rate deviation exceeds 5%, a single-side sensor fault is marked and a sensor maintenance prompt is sent.

4. The method for sensing elevator position according to claim 1, wherein: The elevator is tested for full no-load operation to obtain the real-time bottom sensor pulse signal data when the elevator stops at each floor. Combined with the corrected attenuation rate of the current bottom sensor on each floor, the corrected pulse signal data of the bottom sensor when the elevator stops at each floor is obtained. The corrected pulse signal data of the bottom sensor when the elevator stops at each floor is compared with the no-load stop reference value to obtain the stop pulse signal amplitude deviation. After sorting, the mean of the stop pulse signal amplitude deviation is obtained. The elevator stop deviation analysis model is imported to obtain the real-time stop deviation of the elevator. When the real-time stop deviation of the elevator exceeds the elevator stop deviation threshold, the elevator is corrected for the stop error.

5. The method for sensing elevator position according to claim 1, characterized in that: When the elevator is powered off or fails, obtain the pulse counter counts corresponding to the current top and bottom sensors to determine the floor where the elevator stops due to power outage or failure. If the elevator is going up, the pulse counter count corresponding to the top elevator is N+1, and the pulse counter count corresponding to the bottom elevator is N, and the elevator stops at floor N. If the elevator is going down, the pulse counter count corresponding to the top elevator is N, and the pulse counter count corresponding to the bottom elevator is N-1, and the elevator stops at floor N-1.

6. A processing device for sensing elevator position, configured to implement the method according to any one of claims 1 to 5, characterized in that: include: The benchmark construction module installs magnetic markers at the leveling position of each floor on the shaft wall, and installs magnetic induction sensors at the bottom and top of the car. The benchmark floor is set as the initial position. The elevator runs through the full stroke under no-load and rated load conditions. The magnetic induction sensor pulse signal data when the elevator stops at each floor and the maximum pulse signal value when passing each floor are recorded to establish a dual-mode benchmark database. The real-time stop deviation analysis module regularly performs full-stroke testing of the elevator without load, analyzes the corrected attenuation rate of the top and bottom sensors on each floor, and combines the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the mean deviation of the stop pulse signal amplitude. This is then imported into the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator. The elevator position sensing module obtains the pulse counter counts corresponding to the current top and bottom sensors when the elevator loses power or fails, determines the elevator's stopping floor, analyzes the elevator's stopping deviation, subtracts the elevator's real-time stopping deviation, and obtains the actual stopping deviation of the elevator due to power outage or failure to determine the elevator's position.

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