Processing method and device for sensing elevator position

Abstract

The invention discloses a processing method and device for sensing the position of an elevator, and relates to the technical field of elevator position sensing, which comprises the following steps: running in a full stroke under no-load and rated load conditions respectively, recording pulse signal data of a magnetic induction sensor when the elevator stops on each floor and the maximum value of a pulse signal when the elevator passes through each floor, establishing a dual-mode reference database; elevator regular no-load running full-stroke detection is carried out, and elevator real-time stopping deviation is analyzed; when the elevator is powered off or breaks down, counting of the pulse counters corresponding to the current top sensor and the current bottom sensor is obtained, elevator power-off or fault stopping floors are determined, elevator power-off or fault stopping deviation is analyzed, elevator power-off or fault actual stopping deviation is obtained after elevator real-time stopping deviation is subtracted, and the position of the elevator is determined. And the elevator trapped floor and the position of the elevator trapped floor in the hoistway can be quickly positioned, the response time is shortened, blind operation is avoided, and the secondary accident risk is reduced.

Description

Technical Field

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

[0002] With the acceleration of the urbanization process, elevators, as the core tools for vertical transportation, have attracted increasing attention for their safety and operating efficiency. Elevator position sensing technology is the key to ensuring accurate elevator docking, realizing intelligent dispatching, and ensuring passenger safety. However, traditional elevator position sensing methods have obvious limitations in power-off or fault scenarios, and it is difficult to meet the requirements of modern elevator systems for high-precision and high-reliability positioning.

[0003] In the Chinese invention application with the application publication number CN119706544A, an elevator position estimation method, device, equipment, and storage medium based on electrical signals are disclosed, including collecting electrical signals of an elevator traction machine to obtain voltage and current within a target period; calculating the voltage frequency and current frequency of the elevator traction machine based on the voltage, current, target period, and the number of electrical signal zero crossings; calculating the angular velocity of the elevator traction machine according to the voltage frequency and the number of motor pole pairs, and calculating the angular velocity of the elevator traction machine according to the current frequency and the number of motor pole pairs; inputting the angular velocity obtained based on the voltage frequency or current frequency into a mathematical model of the elevator system for 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 cumulative displacement information of the elevator car during the current upward or downward stage.

[0004] In the above invention application, analyzing the elevator position by collecting electrical signals of the elevator traction machine is effective during normal operation, but has significant defects during power-off or faults. During power-off or faults, the electrical signals are distorted, resulting in the control system misjudging the elevator state and even triggering incorrect operations, posing potential safety hazards to elevator operation. These defects may cause the elevator to be unable to accurately locate under abnormal working conditions, increasing the difficulty of rescue and affecting the safety and operating efficiency of the elevator.

[0005] Therefore, the present invention provides a processing method and device for sensing elevator positions. Summary of the Invention

[0006] (I) Technical Problems to be Solved In view of the deficiencies in the prior art, 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 counts of the pulse counters corresponding to the current top and bottom sensors, determines 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 after subtracting the real-time stopping deviation of the elevator, obtains the actual stopping deviation of the elevator due to the power outage or failure, determines the position of the elevator, 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.

[0007] (II) Technical solution To achieve the above purpose, the present invention is implemented by the following technical solution: A processing method for sensing the position of an elevator comprises the following steps: 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 at 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; The elevator is regularly tested for full-stroke operation without load, and the corrected attenuation rate of the current top and bottom sensors on each floor is analyzed. The corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor are combined to obtain the mean deviation of the stop pulse signal amplitude. The elevator stop deviation analysis model is then imported to obtain the real-time stop deviation of the elevator. 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, analyze the elevator's stopping deviation due to power outage or failure, subtract the elevator's real-time stopping deviation, obtain the actual stopping deviation due to power outage or failure, and determine the elevator's position.

[0008] 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.

[0009] Furthermore, the elevator is regularly tested for full stroke without load, and the pulse peak value of the current top and bottom sensors on each floor is compared with the 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, and 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 failure is marked and a sensor maintenance prompt is sent out.

[0010] 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 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 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.

[0011] 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 the 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.

[0012] 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 faulty stop floor, the corrected pulse signal data of the bottom sensor when the elevator power-off or faulty stop is obtained, and the corrected pulse signal data of the bottom sensor when the elevator power-off or faulty stop is compared with the stop reference value to obtain the power-off or faulty stop pulse signal amplitude deviation, and the elevator stop deviation analysis model is imported to obtain the elevator power-off or faulty stop deviation, and after subtracting the elevator real-time stop deviation, the actual stop deviation of the elevator power-off or faulty stop is obtained.

[0013] 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 goes up, it is the elevator power outage or fault stop floor + the elevator power outage or fault actual stop deviation. If the elevator goes down, it is the elevator power outage or fault stop floor - the elevator power outage or fault actual stop deviation.

[0014] A processing device for sensing the position of an elevator, comprising: The benchmark building 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 at 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 passing each floor are recorded to establish a dual-mode benchmark database. Real-time parking deviation analysis module: The elevator regularly performs full-stroke detection 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 of the parking pulse signal amplitude deviation, imports the elevator parking deviation analysis model, and obtains the real-time parking 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 is powered off or fails, determines the elevator's stop floor due to power outage or failure, analyzes the elevator's stop deviation due to power outage or failure, and obtains the actual stop deviation of the elevator due to power outage or failure after subtracting the elevator's real-time stop deviation to determine the elevator's position.

[0015] (III) Beneficial effects The present invention provides a processing method and device for sensing the position of an elevator, which has the following beneficial effects: 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, establish a dual-mode reference database, and establish a "magnetic field fingerprint" database, 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.

[0016] 2. Regularly perform full-stroke inspection of the elevator without load, analyze the corrected attenuation rate 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 mean amplitude deviation of the stop pulse signal. Import the elevator stop deviation analysis model to obtain the real-time stop deviation of the elevator, which 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.

[0017] 3. When the elevator power is cut off or a fault occurs, obtain the pulse counter counts corresponding to the current top and bottom sensors, determine the floor where the elevator stops due to power cut-off or fault, analyze the deviation of the elevator's stop due to power cut-off or fault, subtract the real-time stop deviation of the elevator, obtain the actual stop deviation of the elevator due to power cut-off or fault, determine the elevator position, quickly locate the trapped floor of the elevator and its position in the hoistway, reduce the response time, avoid blind operation, and reduce the risk of secondary accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic flow chart of the method for processing the sensed elevator position of the present invention; Figure 2 is a schematic structural diagram of the device for processing the sensed elevator position of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to Figure 1 , the present invention provides a method for processing the sensed elevator position, including the following steps: Step 1: Install high-precision magnetic markers at the leveling positions of each floor of the hoistway 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 full stroke under no-load and rated load conditions respectively. Record the pulse signal data of the magnetic induction sensors when the elevator stops at each floor and the maximum pulse signal value when passing through each floor, and establish a dual-mode reference database.

[0021] The said Step 1 includes the following contents: Step 101: Install high-precision magnetic markers, such as magnetic grating rulers or permanent magnets, at the leveling positions of each floor of the hoistway wall, and install magnetic induction sensors at the bottom and top of the car. The magnetic induction sensor at the bottom of the car is aligned with the high-precision magnetic marker in the hoistway. Set the reference floor as the initial position, determine the running direction of the elevator by combining the action sequences of the magnetic induction sensors at the bottom and top of the car, judge whether it is going up or down currently, and the pulse counter receives the pulse signals from the magnetic induction sensors. In the up mode, the pulse counter increments by 1 for each floor passed, and in the down mode, the pulse counter decrements by 1 for each floor passed.

[0022] Determining the running direction of the elevator by combining the action sequences of the magnetic induction sensors at the bottom and top of the car specifically is: Static: Both sensors have no signal output. Upward: 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. Downward: 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.

[0023] Step 102: When the elevator is operated for the first time, it runs through the full stroke under no-load and rated load conditions, records 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, establishes a dual-mode benchmark database, and repeats the test at different ambient temperatures, records the effect of temperature on the pulse signal, and generates a temperature correction curve.

[0024] When using, combine the contents in steps 101 and 102: 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, and a dual-mode reference database and a "magnetic field fingerprint" database are established. This 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.

[0025] Step 2: The elevator is regularly tested for full-stroke no-load operation, and 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, and the elevator stop deviation analysis model is imported to obtain the real-time stop deviation of the elevator.

[0026] The step 2 includes the following contents: Step 201, the elevator regularly performs full-stroke detection for no-load operation, compares the pulse peak value of each floor of the current top and bottom sensors with the no-load reference peak value, obtains the initial attenuation rate of each floor of the current top and bottom sensors, and calls the correction curve according to the real-time temperature to eliminate environmental interference, obtains the corrected attenuation rate of each floor of the current top and bottom sensors, and sorts out the deviation of the corrected attenuation rate of each floor of the top and bottom sensors. If the average attenuation rate deviation exceeds 5%, it marks a single-side sensor failure and sends a sensor maintenance prompt.

[0027] Step 202: Under the no-load condition of the elevator, record the amplitude of the reference pulse signal and the docking position. Artificially introduce an amplitude deviation through an adjustable power supply or a variable load. At each amplitude deviation, record the actual docking position of the elevator, calculate the position error, repeat steps 2-3 at different amplitude deviations, obtain multiple sets of docking deviation data, divide the experimental data into a training set and a test set, fit a linear model with the training set, verify the model prediction ability with the test set, and output an elevator docking deviation analysis model.

[0028] Step 203: Conduct a full-travel detection of the elevator under no-load operation to obtain the pulse signal data of the bottom sensor when the elevator is docked at each floor in real time. Combine the correction attenuation rate of each floor of the current bottom sensor to obtain the corrected pulse signal data of the bottom sensor when the elevator is docked at each floor. Compare the corrected pulse signal data of the bottom sensor when the elevator is docked at each floor with the no-load docking reference value to obtain the docking pulse signal amplitude deviation. After sorting, obtain the average value of the docking pulse signal amplitude deviation, import it into the elevator docking deviation analysis model to obtain the real-time docking deviation of the elevator. When the real-time docking deviation of the elevator exceeds the elevator docking deviation threshold, perform docking error correction on the elevator.

[0029] During use, combine the content in steps 201 to 203: Conduct a regular full-travel detection of the elevator under no-load operation, analyze the correction attenuation rate of each floor of the current top and bottom sensors, and combine the corrected pulse signal data of the top and bottom sensors when the elevator is docked at each floor to obtain the average value of the docking pulse signal amplitude deviation. Import it into the elevator docking deviation analysis model to obtain the real-time docking deviation of the elevator, which can identify problems such as sensor aging, installation deviation, or electromagnetic interference, provide a reference for subsequent deviation correction, and timely discover potential risks such as inaccurate leveling to avoid annual inspection non-compliance caused by excessive docking deviation.

[0030] Step 3: When the elevator is powered off or fails, obtain the count of the corresponding pulse counters of the current top and bottom sensors, determine the floor where the elevator is powered off or fails to dock, analyze the docking deviation when the elevator is powered off or fails, and after subtracting the real-time docking deviation of the elevator, obtain the actual docking deviation when the elevator is powered off or fails to determine the elevator position.

[0031] The said Step 3 includes the following steps: Step 301: When the elevator is powered off or fails, obtain the count of the corresponding pulse counters of the current top and bottom sensors, determine the floor where the elevator is powered off or fails to dock. If the elevator is going up, the count of the corresponding pulse counter of the top elevator is N + 1, the count of the corresponding pulse counter of the bottom elevator is N, and it docks on floor N. If the elevator is going down, the count of the corresponding pulse counter of the top elevator is N, the count of the corresponding pulse counter of the bottom elevator is N - 1, and the elevator docks on floor N - 1.

[0032] Step 302, obtain the bottom sensor pulse signal data of the current elevator stop, combine the corrected attenuation rate of the current bottom sensor elevator power-off or fault stop floor, obtain the bottom sensor corrected pulse signal data when the elevator power-off or fault stop, compare the bottom sensor corrected pulse signal data of the elevator power-off or fault stop 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 elevator power-off or fault actual stop deviation.

[0033] Step 303, determine the elevator position according to the elevator power outage or fault stop floor and the elevator power outage or fault actual stop deviation. When the elevator goes up, it is the elevator power outage or fault stop floor + the elevator power outage or fault actual stop deviation. If the elevator goes down, it is the elevator power outage or fault stop floor - the elevator power outage or fault actual stop deviation.

[0034] When using, combine the contents in steps 301 to 303: When the elevator loses power or fails, obtain the pulse counter counts corresponding to the current top and bottom sensors, determine the floor where the elevator stops due to power outage or failure, analyze the elevator's stopping deviation due to power outage or failure, subtract the elevator's real-time stopping deviation, and obtain the actual stopping deviation of the elevator due to power outage or failure to determine the elevator's position. This can quickly locate the floor where the elevator is trapped and its position in the shaft, reduce response time, avoid blind operation, and reduce the risk of secondary accidents.

[0035] See also Figure 2 The present invention provides a processing device for sensing the position of an elevator, comprising: 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 value of the pulse signal when passing each floor are recorded to establish a dual-mode benchmark database.

[0036] Real-time stop deviation analysis module, the elevator regularly runs without load for full stroke detection, 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, imports the elevator stop deviation analysis model, and obtains the real-time stop deviation of the elevator.

[0037] The elevator position sensing module obtains the pulse counter counts corresponding to the current top and bottom sensors when the elevator is powered off or fails, determines the elevator's stop floor due to power outage or failure, analyzes the elevator's stop deviation due to power outage or failure, and obtains the actual stop deviation of the elevator due to power outage or failure after subtracting the elevator's real-time stop deviation to determine the elevator's position.

[0038] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any 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 of ordinary skill in the art will realize that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution.

[0039] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0040] As mentioned above, the above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application.

Claims

1. A method for processing the perception of elevator position, characterized in that: It includes the following steps: Install high-precision magnetic markers at the leveling position of each floor of the hoistway 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 full stroke under no-load and rated load conditions respectively. Record the pulse signal data of the magnetic induction sensors when the elevator stops at each floor and the maximum value of the pulse signal when passing through each floor, and establish a dual-mode reference database; The elevator runs the full stroke regularly under no-load for detection. Analyze the correction attenuation rate of each floor of the current top and bottom sensors, and combine the corrected pulse signal data of the top and bottom sensors when the elevator stops at each floor to obtain the average value of the amplitude deviation of the stop pulse signal. Import it 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, obtain the pulse counter counts of the current top and bottom sensors, determine the floor where the elevator stops when powered off or fails, analyze the stop deviation of the elevator when powered off or fails, and subtract the real-time stop deviation of the elevator to obtain the actual stop deviation of the elevator when powered off or fails, and determine the position of the elevator.

2. The processing method for sensing the elevator position according to claim 1, wherein: The magnetic induction sensor at the bottom of the car is aligned with the high-precision magnetic marker in the hoistway. Set the reference floor as the initial position, and determine the running direction of the elevator in combination with the action sequence of the magnetic induction sensors at the bottom and top of the car. When it is stationary, neither sensor outputs a signal; 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.

3. The processing method for sensing the elevator position according to claim 1, wherein: The elevator runs the full stroke regularly under no-load for detection. Compare the pulse peak values of each floor of the current top and bottom sensors with the no-load reference peak values to obtain the initial attenuation rate of each floor of the current top and bottom sensors, and call the correction curve according to the real-time temperature to eliminate environmental interference and obtain the correction attenuation rate of each floor of the current top and bottom sensors. Sort out the deviation of the correction attenuation rate of each floor of the top and bottom sensors. If the average attenuation rate deviation exceeds 5%, mark the single-side sensor as faulty and send a sensor maintenance prompt outward.

4. The processing method for sensing the elevator position according to claim 1, wherein: The elevator runs the full stroke under no-load for detection. Obtain the pulse signal data of the bottom sensor when the elevator stops at each floor in real time, and combine the correction attenuation rate of each floor of the current bottom sensor to 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 amplitude deviation of the stop pulse signal. After sorting, obtain the average value of the amplitude deviation of the stop pulse signal, import it into the elevator stop deviation analysis model 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, correct the stop error of the elevator.

5. The processing method for sensing the elevator position according to claim 1, wherein: 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 goes 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 goes 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.

6. The method for sensing elevator position according to claim 1, characterized in that: Get 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, get the bottom sensor corrected pulse signal data when the elevator power-off or fault stop, compare the bottom sensor corrected pulse signal data of the elevator power-off or fault stop with the load stop reference value to get the power-off or fault stop pulse signal amplitude deviation, import the elevator stop deviation analysis model, get the elevator power-off or fault stop deviation, subtract the elevator real-time stop deviation, and get the actual stop deviation of the elevator power-off or fault.

7. The method for sensing elevator position according to claim 1, characterized in that: 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 goes up, it is the elevator power outage or fault stop floor + the elevator power outage or fault actual stop deviation. If the elevator goes down, it is the elevator power outage or fault stop floor - the elevator power outage or fault actual stop deviation.

8. A processing device for sensing the elevator position, which is used to implement the method according to any one of claims 1 to 7, characterized in that: include: The benchmark building 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 at 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 passing each floor are recorded to establish a dual-mode benchmark database. Real-time parking deviation analysis module: The elevator regularly performs full-stroke detection 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 of the parking pulse signal amplitude deviation, imports the elevator parking deviation analysis model, and obtains the real-time parking 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 is powered off or fails, determines the elevator's stop floor due to power outage or failure, analyzes the elevator's stop deviation due to power outage or failure, and obtains the actual stop deviation of the elevator due to power outage or failure after subtracting the elevator's real-time stop deviation to determine the elevator's position.

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