Elevator operation data monitoring method and system

Abstract

The application discloses an elevator operation data monitoring method and system, and belongs to the technical field of control systems, and comprises the following steps: obtaining an elevator first sensing position, thereby analyzing a radar positioning determination result; if the radar positioning determination result is unqualified, S2 is executed, otherwise the operation is continuously executed; S2, a radar carrier frequency is adjusted in real time, and a radar carrier frequency adjustment determination result is analyzed; if the radar carrier frequency adjustment determination result is unqualified, S3 is executed, otherwise the operation is continuously executed; S3, a radar carrier frequency correction coefficient set is obtained; S4, an optimized and adjusted radar sensing real-time spatial position is obtained; S5, an optimized adjustment determination result is analyzed; if the optimized adjustment determination result is qualified, the adjustment is completed, otherwise self-shielding avoidance adjustment is carried out. The application solves the problem that the elevator radar positioning is not accurate due to external influence recognition real-time change, and realizes accurate positioning of the radar system.

Description

Technical Field

[0001] This invention relates to the field of control system technology, and in particular to a method and system for monitoring elevator operation data. Background Technology

[0002] Existing elevator operation data monitoring utilizes a PLC to collect elevator operation data and upload it to the control module, thereby monitoring the elevator's height, tilt angle, stress, and safety status during operation, thus achieving elevator operation data monitoring.

[0003] For example, the intelligent safety control system for construction hoists disclosed in Chinese invention patent CN106338944B includes: an information acquisition and display system, an operating system, a communication system, an execution system, and a data storage system.

[0004] For example, the Chinese invention patent with announcement number CN106814684B discloses a high-speed elevator control system based on PLC control, which includes: a main circuit module, a PLC control module, a human-machine interface touch screen module, a distance sensor module, a safety signal module, a limit detection module, a hoisting motor frequency converter module, a walking motor frequency converter module, and a pin motor module; the PLC control module, the human-machine interface touch screen module, the distance sensor module, the safety signal module, the limit detection module, the hoisting motor frequency converter module, the walking motor frequency converter module, and the pin motor module are respectively connected to the main circuit module, and the human-machine interface touch screen module, the distance sensor module, the safety signal module, the limit detection module, the hoisting motor frequency converter module, and the walking motor frequency converter module are respectively connected to the PLC control module.

[0005] However, in the process of implementing the inventive technical solution in the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems: In existing technologies, especially in actual substation scenarios, high-voltage transmission equipment, disconnect switches, and transformers continuously generate strong interference such as power frequency electromagnetic fields during operation. Such interference can seriously affect the accuracy of radar positioning, resulting in inaccurate radar positioning of elevators due to real-time changes caused by external influences. Summary of the Invention

[0006] To address the technical problem of inaccurate radar positioning of elevators in existing technologies, this invention provides a method and system for monitoring elevator operation data. The technical solution is as follows: On the one hand, a method for monitoring elevator operation data is provided. This method includes: S1. After the elevator receives an operation command, acquiring radar perception impact parameters for the elevator's construction operation, performing radar perception calibration to obtain the elevator's first sensing position, and analyzing the radar positioning judgment result. If the radar positioning judgment result is unqualified, proceed to S2; otherwise, continue the operation. S2. Acquiring radar positioning execution interference impact parameters, analyzing to obtain the real-time reference radar detection carrier frequency, adjusting the radar carrier frequency in real-time, and analyzing the radar carrier frequency adjustment judgment result. If the radar carrier frequency adjustment judgment result is unqualified, proceed to S3; otherwise, continue the operation. S3. Acquiring radar positioning potential interference parameters and radar positioning magnetic field interference parameters, and combining them with real-time radar carrier frequency analysis to obtain a radar carrier frequency correction coefficient set. S4. Acquiring the adjustment range of the radar perception calibration and combining it with the radar carrier frequency correction coefficient set to perform radar analog-to-digital conversion gain value adjustment, obtaining the optimized and adjusted real-time spatial position of the radar perception. S5. Analyzing the optimization and adjustment judgment result based on the optimized and adjusted real-time spatial position of the radar perception. If the optimization and adjustment judgment result is qualified, the adjustment is completed; otherwise, self-masking avoidance adjustment is performed.

[0007] On the other hand, a hoist operation data monitoring system is provided. This system applies a hoist operation data monitoring method, and the device includes: a radar sensing calibration module, a radar carrier frequency adjustment module, an electromagnetic interference judgment module, an initial optimization adjustment module, and a self-masking avoidance adjustment module. The radar sensing calibration module, upon receiving an operation command, acquires radar sensing impact parameters for the hoist operation, performs radar sensing calibration to obtain the hoist's first sensing position, and analyzes the radar positioning judgment result. If the radar positioning judgment result is unqualified, the radar carrier frequency adjustment module is executed; otherwise, the operation continues. The radar carrier frequency adjustment module acquires radar positioning execution interference impact parameters, analyzes them to obtain a real-time reference radar detection carrier frequency, and adjusts the frequency in real-time. The system first sets up the radar carrier frequency and analyzes the radar carrier frequency adjustment judgment result. If the radar carrier frequency adjustment judgment result is unqualified, the electromagnetic field interference judgment module is executed; otherwise, the operation continues. The electromagnetic field interference judgment module is used to obtain radar positioning potential interference parameters and radar positioning magnetic field interference parameters, and combine them with real-time radar carrier frequency analysis to obtain a radar carrier frequency correction coefficient set. The initial optimization adjustment module is used to obtain the adjustment range of radar perception calibration and combine it with the radar carrier frequency correction coefficient set to perform radar analog-to-digital conversion gain value adjustment to obtain the optimized and adjusted real-time spatial position of radar perception. The self-masking avoidance adjustment module is used to analyze the optimization adjustment judgment result based on the optimized and adjusted real-time spatial position of radar perception. If the optimization adjustment judgment result is qualified, the adjustment is completed; otherwise, self-masking avoidance adjustment is performed.

[0008] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. This invention dynamically acquires the types of various common space interference sources and their real-time influence distances with the elevator, thereby calculating the comprehensive interference influence value in real time and performing radar carrier frequency adjustment. Then, it combines potential interference parameters and magnetic field interference parameters to construct a radar carrier frequency correction coefficient set, realizing accurate radar positioning correction of the elevator under real-time changes in external interference in the substation, and solving the problem of inaccurate radar positioning of the elevator caused by real-time changes in external influence identification.

[0009] 2. This invention improves the accuracy of acquiring the first sensing position of the elevator by acquiring the crystal oscillator frequency drift and the antenna phase center offset, and performs radar sensing calibration based on database matching. Then, it combines the second sensing position acquired by the substation's built-in positioning tool to complete the equivalent coincidence determination, thereby achieving accurate correction of the elevator's radar sensing position and enhanced reliability of positioning determination.

[0010] 3. This scheme introduces radar sensing calibration adjustment amplitude and radar carrier frequency correction coefficient set, and jointly performs adaptive adjustment of radar analog-to-digital conversion gain value, thereby eliminating error amplification or signal distortion problems generated during the sensing process, and thus optimizing the spatial position data output by the radar in real time, achieving high stability of radar ranging signal quality.

[0011] 4. This solution emits a test beam during the beam transmission phase and analyzes the obstruction situation based on the beam strength and ranging results measured by the echo. This allows the system to identify whether the elevator's own structure interferes with the radar beam propagation path. Furthermore, it dynamically adjusts the beam transmission angle when obstruction exists, thereby achieving intelligent beam path avoidance within the elevator's self-obstruction area and ensuring the continuity of radar operation. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of a method for monitoring elevator operation data provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the implementation of a method for monitoring elevator operation data provided in an embodiment of the present invention. Figure 3 This is a flowchart of the optimized and adjusted radar sensing real-time spatial position acquisition method for monitoring elevator operation data provided in this embodiment of the invention. Figure 4 This is a schematic diagram of the structure of a lift operation data monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0014] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0015] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0016] This application provides a method and system for monitoring elevator operation data, which solves the problem of inaccurate elevator radar positioning caused by real-time changes in external influences in the prior art, and achieves accurate positioning of the radar system.

[0017] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0018] like Figure 1 As shown, Figure 1 This is a flowchart of a method for monitoring elevator operation data provided by an embodiment of the present invention. The method includes the following steps: S1. After the elevator receives an operation command, it acquires the radar perception impact parameters of the elevator construction operation, performs radar perception calibration to obtain the first sensing position of the elevator, and analyzes the radar positioning judgment result. If the radar positioning judgment result is unqualified, it proceeds to S2; otherwise, it continues to perform the operation. S2. It acquires the radar positioning execution interference impact parameters, analyzes to obtain the real-time reference radar detection carrier frequency, adjusts the radar carrier frequency in real time, and analyzes the radar carrier frequency adjustment judgment result. If the radar carrier frequency adjustment judgment result is unqualified, it proceeds to S3; otherwise, it continues to perform the operation. S3. It acquires the radar positioning potential interference parameters and the radar positioning magnetic field interference parameters and combines them with the real-time radar carrier frequency analysis to obtain the radar carrier frequency correction coefficient set. S4. It acquires the adjustment range of the radar perception calibration and combines it with the radar carrier frequency correction coefficient set to perform radar analog-to-digital conversion gain value adjustment to obtain the optimized and adjusted real-time spatial position of the radar perception. S5. It analyzes the optimization and adjustment judgment result based on the optimized and adjusted real-time spatial position of the radar perception. If the optimization and adjustment judgment result is qualified, the adjustment is completed; otherwise, it performs self-masking avoidance adjustment.

[0019] In this embodiment, the positioning system built into the elevator itself is a radar positioning system, and the positioning system used to determine the radar carrier frequency adjustment result is the positioning system built into the substation (e.g., an inertial navigation system). It should be noted that all multiples obtained from the multiple analysis in this application are positive numbers rounded up. For example, if the multiple is 5.2, it is rounded up to the nearest integer, i.e., the multiple is 6.

[0020] It should be noted that the database is used to store, manage, and analyze historical data as well as real-time data generated during operation. This data (historical data and real-time data) includes, but is not limited to, user operation records, system status changes, equipment operating parameters, log information, etc., such as: various data gradients (e.g., crystal oscillator frequency drift processing gradient and antenna phase center offset processing gradient), data matching relationships (e.g., the relationship between the real-time influence distance of each co-space interference source and the real-time comprehensive interference influence value, the relationship between the potential interference value of the construction area and the radar carrier frequency first correction coefficient, the relationship between the magnetic field positioning interference value and the radar carrier frequency second correction coefficient, and the relationship between the antenna phase center adjustment comparison value and the antenna phase center gain adjustment coefficient, etc.), various reference values ​​(e.g., potential interference reference value and magnetic field positioning interference reference value), various reference sets (e.g., radar positioning magnetic field interference reference set and adjustment amplitude comparison set), and various thresholds (e.g., echo measurement beam intensity threshold and echo measurement distance threshold). The aforementioned data gradients, data matching relationships, benchmark values, benchmark sets, and thresholds are all obtained through historical data statistics. Specifically, for example: data gradients can be obtained by subtracting historical data of the same type and using the difference as the gradient; data matching relationships can be obtained by statistically analyzing historical data of the same type and the corresponding data, forming data groups, and storing all data groups in the database as benchmarks for subsequent data matching; benchmark values ​​and benchmark sets can be obtained by querying the theoretical best value corresponding to historical data of the same type and using that theoretical best value as the benchmark value and / or benchmark set; and thresholds can be obtained by querying the critical value of historical data of the same type (exceeding or falling below the critical value indicates an anomaly) and using that critical value as the threshold.

[0021] Furthermore, the radar positioning judgment result is obtained specifically as follows: The radar perception influence parameters of the elevator construction operation are acquired, including the crystal oscillator frequency drift and the antenna phase center offset. The crystal oscillator frequency drift is matched with a database to obtain the crystal oscillator frequency drift processing gradient, and the antenna phase center offset is matched with a database to obtain the antenna phase center offset processing gradient. The crystal oscillator frequency is adjusted based on the crystal oscillator frequency drift processing gradient, and the antenna phase center offset is zero-point calibrated based on the antenna phase center offset processing gradient, thus completing the radar perception calibration. The position of the elevator is detected by the radar positioning sensor after radar perception calibration to obtain the first sensing position of the elevator. The second sensing position of the elevator is obtained through the positioning tool built into the substation. The radar positioning judgment result is obtained based on the first and second sensing positions of the elevator. If the first and second sensing positions of the elevator are equivalently coincident, the radar positioning judgment result is qualified; otherwise, the radar positioning judgment result is unqualified.

[0022] In this embodiment, as Figure 2 As shown, Figure 2 This is a flowchart illustrating the implementation of a method for monitoring elevator operation data provided in this embodiment of the invention. Upon receiving an operation command, radar sensing calibration is performed to obtain the first sensing position of the elevator, thereby obtaining a radar positioning determination result. If the radar positioning determination result is qualified, the operation continues; if the radar positioning determination result is unqualified, the radar carrier frequency is adjusted in real time, and the radar carrier frequency adjustment determination result is analyzed. If the radar carrier frequency adjustment determination result is qualified, the operation continues; if the radar carrier frequency adjustment determination result is unqualified, the radar carrier frequency correction coefficient set is analyzed, and the radar analog-to-digital conversion gain value is adjusted to obtain the optimized radar sensing real-time spatial position, thereby obtaining an optimization adjustment determination result. If the optimization adjustment determination result is qualified, the adjustment is completed; if the optimization adjustment determination result is unqualified, self-masking avoidance adjustment is performed, and finally, the analysis is completed.

[0023] The crystal oscillator frequency drift and antenna phase center offset can be obtained through the computer system's backend management page. The computer's backend system detects these values ​​by connecting to a high-precision spectrum analyzer and a vector network analyzer. The high-precision spectrum analyzer can detect the crystal oscillator frequency drift, and the vector network analyzer can detect the antenna phase center offset.

[0024] The crystal oscillator frequency drift is matched with a database to obtain the crystal oscillator frequency drift processing gradient. Specifically, the following method is used: A preset crystal oscillator frequency drift baseline and an initial gradient for crystal oscillator frequency drift processing are obtained from the database and compared with the crystal oscillator frequency drift. If the crystal oscillator frequency drift is below the baseline, the crystal oscillator frequency is adjusted based on the initial gradient until the drift reaches zero. If the crystal oscillator frequency drift is greater than the baseline, the baseline is subtracted from the drift to obtain the drift difference. The drift difference is divided by the single-stage drift processing gradient to obtain the drift factor. The drift factor is multiplied by the preset single-stage drift increase gradient in the database to obtain the drift increase gradient. Finally, the drift increase gradient is added to the initial gradient to obtain the final crystal oscillator frequency drift processing gradient.

[0025] The antenna phase center offset is matched with the database to obtain the antenna phase center offset processing gradient. The specific method is as follows: obtain the preset antenna phase center offset reference value and the initial gradient of antenna phase center offset processing in the database, and compare them with the antenna phase center offset value. If the antenna phase center offset value is below the antenna phase center offset reference value, adjust the antenna phase center offset value based on the initial gradient of antenna phase center offset processing until the antenna phase center offset value is zero. If the antenna phase center offset value is greater than the antenna phase center offset reference value, subtract the antenna phase center offset reference value from the antenna phase center offset value to obtain the antenna phase center offset difference value. Divide the antenna phase center offset difference value by the single-stage antenna phase center offset processing gradient to obtain the antenna phase center offset multiple. Multiply the antenna phase center offset multiple value by the preset single-stage antenna phase growth amplitude gradient in the database to obtain the antenna phase center offset processing increase gradient. Add the antenna phase center offset processing increase gradient to the initial gradient of antenna phase center offset processing to obtain the antenna phase center offset processing gradient, thereby completing the zero-point calibration adjustment and completing the radar sensing calibration.

[0026] The first sensor position and the second sensor position of the elevator are equivalent to overlap, specifically: the error range between the first sensor position and the second sensor position of the elevator is less than the preset error range threshold in the database.

[0027] It should be noted that by accurately acquiring and adjusting the crystal oscillator frequency drift and antenna phase center offset, the accuracy and stability of radar positioning can be improved. Adjusting the crystal oscillator frequency drift effectively compensates for frequency deviations caused by factors such as temperature changes and aging, ensuring the stability of the radar carrier frequency and thus improving the accuracy of ranging and velocity measurement. Calibrating the antenna phase center offset corrects angular deviations caused by antenna installation errors or structural deformation, optimizes the directivity of the radar beam, and improves the accuracy of angle measurements. By matching these key parameters with a database and implementing targeted calibration adjustments, positioning errors caused by hardware drift can be minimized, enhancing the adaptability and reliability of the radar system in complex environments.

[0028] Furthermore, the real-time reference radar detection carrier frequency is obtained through the following method: acquiring radar positioning execution interference impact parameters, including the location and type of each interference source in the current area; designating each interference source in the current area as a common space interference source, and statistically calculating the interference impact value of each common space interference source based on its type; acquiring the distance between each common space interference source and the elevator, designating it as the real-time impact distance of each common space interference source, and matching it with a database to obtain the real-time comprehensive interference impact value; performing difference processing between the real-time comprehensive interference impact value and a preset comprehensive interference impact benchmark value to obtain the comprehensive interference impact benchmark difference; performing multiplication analysis based on the comprehensive interference impact benchmark difference and a preset comprehensive interference gradient to obtain the comprehensive interference multiplier; multiplying the comprehensive interference multiplier with a preset single-level radar detection carrier frequency adjustment factor to obtain the radar detection carrier frequency adjustment value; and correcting the real-time radar detection carrier frequency based on the radar detection carrier frequency adjustment value to obtain the adjusted real-time radar detection carrier frequency, which is then marked as the real-time reference radar detection carrier frequency.

[0029] In this embodiment, the real-time influence distance of the co-space interference source is matched with the database. If the co-space interference source belongs to a preset co-space interference source in the database, the preset residual attenuation influence coefficient of the co-space interference source at different distances is obtained and matched with the real-time influence distance of the co-space interference source to obtain the real-time residual attenuation influence coefficient.

[0030] The method for obtaining the real-time integrated interference impact value is as follows: ; In the formula, ZR represents the real-time integrated interference impact value, Z i This represents the interference impact value of the i-th co-space interference source, where i represents the number of the co-space interference source, i=1,2,...,i max i max S represents the total number of interference sources in the common space. iThis represents the real-time residual attenuation influence coefficient of the i-th co-space interference source.

[0031] The real-time radar detection carrier frequency is corrected based on the radar detection carrier frequency adjustment value to obtain the adjusted real-time radar detection carrier frequency. The specific method is as follows: the real-time radar detection carrier frequency is compared with a preset comprehensive interference impact benchmark value. If the real-time radar detection carrier frequency is less than the preset comprehensive interference impact benchmark value, the real-time radar detection carrier frequency is lowered based on the radar detection carrier frequency adjustment value. If the real-time radar detection carrier frequency is greater than the preset comprehensive interference impact benchmark value, the real-time radar detection carrier frequency is raised based on the radar detection carrier frequency adjustment value. If the real-time radar detection carrier frequency is equal to the preset comprehensive interference impact benchmark value, no real-time radar detection carrier frequency adjustment is performed.

[0032] The real-time radar detection carrier frequency is adjusted by decreasing the adjustment value based on the radar detection carrier frequency. Specifically, the adjusted value is subtracted from the real-time radar detection carrier frequency to obtain the adjusted real-time radar detection carrier frequency, which is then marked as the real-time reference radar detection carrier frequency. The real-time radar detection carrier frequency is adjusted by increasing the adjustment value based on the radar detection carrier frequency. Specifically, the adjusted value is added to the real-time radar detection carrier frequency to obtain the adjusted real-time radar detection carrier frequency, which is then marked as the real-time reference radar detection carrier frequency.

[0033] By dynamically acquiring interference impact parameters for radar positioning, and combining the type, location, and real-time impact distance of the interference source, the system accurately assesses the comprehensive interference impact value of the current area, and calculates the radar detection carrier frequency adjustment value accordingly, thus achieving real-time correction processing of the radar detection carrier frequency. It can dynamically adjust the radar carrier frequency based on the strength differences of the actual interference environment, thereby avoiding interference from the strong interference frequency band of substations, reducing the impact of electromagnetic interference on radar signals, and improving the radar system's anti-interference capability and positioning accuracy.

[0034] Furthermore, a set of radar carrier frequency correction coefficients is obtained. Specifically, this involves: acquiring radar positioning potential interference parameters, radar positioning magnetic field interference parameters, and real-time radar carrier frequency; analyzing the radar positioning potential interference parameters to obtain the potential interference value of the construction area; matching the potential interference value of the construction area with the database to obtain the first correction coefficient for the radar carrier frequency; analyzing the radar positioning magnetic field interference parameters and real-time radar carrier frequency to obtain the magnetic field positioning interference value; matching the magnetic field positioning interference value with the database to obtain the second correction coefficient for the radar carrier frequency; and jointly labeling the first and second correction coefficients of the radar carrier frequency as the set of radar carrier frequency correction coefficients.

[0035] In this embodiment, point cloud density refers to the total electric field intensity distribution density induced per unit volume in the superimposed area of ​​electric field intensity formed by multiple electric field sources (such as high-voltage conductors, discharge regions at the tips of insulators, cable joints, circuit breakers, etc.) within a certain spatial scale. It reflects the total charge accumulation in a local area of ​​the substation and can be obtained through a computer-based data management system. The computer-based data management system is connected to the electric field intensity sensor in the actual substation, and the electric field intensity sensor (such as an electric field probe) can detect the point cloud density.

[0036] The potential interference value of the construction area is obtained based on the analysis of radar positioning potential interference parameters. The specific method is as follows: Radar positioning potential interference parameters are acquired, including potential interference impact parameters and point cloud density within a preset time period. Potential interference impact parameters include ground grid potential difference, electric field gradient, and equipotential bonding impedance. The point cloud density is matched with a database to obtain the point cloud density interference ratio. A potential interference impact calibration set is obtained and proportionally analyzed with the potential interference impact parameters to obtain the potential interference ratio analysis result. Based on the potential interference ratio analysis result, a corresponding weighting factor is introduced for coupling processing to obtain the potential impact coupling value. This potential impact coupling value is multiplied with the point cloud density interference ratio to obtain the potential interference value of the construction area. The potential interference impact calibration set includes ground grid potential difference calibration value, electric field gradient calibration value, and positioning carrier signal frequency calibration value.

[0037] Specifically, the point cloud density interference ratio is obtained by matching the point cloud density with the database. This involves: obtaining the preset point cloud density intervals and the corresponding historical point cloud density interference ratio values ​​in the database, and matching them with the point cloud density. If the point cloud density is within a preset point cloud density interval in the database, the corresponding historical point cloud density interference ratio values ​​are obtained. The extreme values ​​of the historical point cloud density interference ratio values ​​are then removed (maximum and minimum values ​​are removed), and the standard deviation is taken after removing the extreme values ​​to obtain the standard deviation of the historical point cloud density interference ratio, which is used as the point cloud density interference ratio.

[0038] The specific method for obtaining the potential interference value of the construction area is as follows: ; In the formula, DR represents the potential interference value of the construction area, YM represents the point cloud density interference ratio, CD represents the ground grid potential difference, BD represents the ground grid potential difference calibration value, TD represents the electric field gradient, BT represents the electric field gradient calibration value, KZ represents the equipotential bonding impedance, BZ represents the equipotential bonding impedance calibration value, ω1 represents the ground grid potential difference weighting factor, ω2 represents the electric field gradient weighting factor, and ω3 represents the equipotential bonding impedance weighting factor.

[0039] By analyzing the ground grid potential difference, electric field gradient, equipotential bonding impedance, and point cloud density, the potential interference value of the construction area is obtained. This analysis takes into account the interrelationships among these parameters. For example, fluctuations in the ground grid potential difference directly lead to uneven surface potential distribution, which in turn causes local changes in the electric field gradient. Conversely, an increase in the equipotential bonding impedance weakens the potential balancing ability between grounding bodies, further amplifying the impact of the ground grid potential difference on electric field changes. Meanwhile, point cloud density reflects the density of spatial charge distribution; high-density point cloud aggregation is more likely to form in areas with enhanced electric field gradients, which in turn enhances local spatial potential instability.

[0040] It should be noted that the ground grid potential difference weighting factor, electric field gradient weighting factor, and equipotential bonding impedance weighting factor can be obtained from the database. For example, the ground grid potential difference weighting factor can be obtained by obtaining historical ground grid potential difference intervals from the database and comparing them with the actual ground grid potential difference. If the ground grid potential difference falls within a certain historical ground grid potential difference interval, the corresponding historical ground grid potential difference weighting factor is obtained. The historical ground grid potential difference weighting factor is then subjected to extremum removal (removing the maximum and minimum values), and its standard deviation is taken after extremum removal to obtain the standard deviation of the historical ground grid potential difference weighting factor, which is then used as the ground grid potential difference weighting factor. The other weighting factors are obtained in the same way as the ground grid potential difference weighting factor. They can all be obtained by comparing with the database and then using the standard deviation of the historical weighting factor after extremum removal as their corresponding weighting factors. The electric field gradient weighting factor corresponds to the standard deviation of the historical electric field gradient weighting factor, and the equipotential bonding impedance weighting factor corresponds to the standard deviation of the historical equipotential bonding impedance weighting factor.

[0041] In the complex electromagnetic environment of substations, radar positioning accuracy is affected by a variety of dynamic factors. The real-time radar carrier frequency determines the wavelength and anti-interference characteristics of the radar signal. Improper carrier frequency settings can lead to signal attenuation, abnormal reflection, or spectral conflicts, affecting positioning accuracy. Electric field interference mainly originates from the potential difference of high-voltage equipment, which can easily cause radar receiver saturation or signal distortion. Magnetic field interference comes from changes in magnetic flux in equipment such as transformers and current coils, which can cause radar beam deviation and therefore require correction.

[0042] Furthermore, the first correction coefficient for the radar carrier frequency is obtained using the following method: The potential interference value of the construction area is compared with a preset potential interference reference value in the database. If the potential interference value of the construction area is below the potential interference reference value, the first correction coefficient for the radar carrier frequency is zero; otherwise, the difference between the potential interference value and the preset potential interference reference value is processed to obtain a potential interference reference difference. A multiple analysis is performed between the potential interference reference difference and a preset potential interference span to obtain a potential interference span multiple. The potential interference span multiple is multiplied by the first radar carrier frequency change coefficient corresponding to a preset single-level potential interference span to obtain the first comprehensive change coefficient for the radar carrier frequency. Finally, the first comprehensive change coefficient for the radar carrier frequency is added to the preset first reference correction coefficient for the radar carrier frequency to obtain the first correction coefficient for the radar carrier frequency.

[0043] Furthermore, the magnetic field positioning interference value is obtained through the following methods: acquiring the real-time radar carrier frequency; matching the real-time radar carrier frequency with a database to obtain the first interference coefficient of the radar carrier frequency; acquiring radar positioning magnetic field interference parameters, including the magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change value, and permeability spatial non-uniformity; acquiring a preset radar positioning magnetic field interference reference set in the database and performing a proportional analysis with the radar positioning magnetic field interference parameters to obtain the radar positioning magnetic field interference proportional analysis result; introducing corresponding weighting factors based on the radar positioning magnetic field interference proportional analysis result for coupling processing to obtain the radar positioning magnetic field interference coupling value; and performing a multiplicative coupling analysis between the radar positioning magnetic field interference coupling value and the first interference coefficient of the radar carrier frequency to obtain the magnetic field positioning interference value; the radar positioning magnetic field interference reference set includes the magnetic flux density gradient tensor reference value, eddy current loss power density reference value, magnetostriction coefficient abrupt change reference value, and permeability spatial non-uniformity reference value.

[0044] In this embodiment, the first interference coefficient of the radar carrier frequency is obtained by matching the real-time radar carrier frequency with the database. The specific method is as follows: obtain the historical radar carrier frequency intervals and the corresponding historical power frequency magnetic field strength value sets stored in the database; match the real-time radar carrier frequency with each historical radar carrier frequency interval; if the real-time radar carrier frequency is within a certain preset historical radar carrier frequency interval, obtain the corresponding historical power frequency magnetic field strength value set; the historical power frequency magnetic field strength value set includes each historical power frequency magnetic field strength; remove the maximum and minimum values ​​from each historical power frequency magnetic field strength, and perform standard deviation processing after removing the maximum and minimum values ​​to obtain the standard deviation of the historical power frequency magnetic field strength; Obtain the preset allowable value of the standard deviation of the historical power frequency magnetic field strength in the database, and compare it with the standard deviation of the historical power frequency magnetic field strength to obtain the first interference coefficient of the radar carrier frequency. If the standard deviation of the historical power frequency magnetic field strength is above the allowable value, the first interference coefficient of the radar carrier frequency is the result of the ratio analysis between the standard deviation of the historical power frequency magnetic field strength and the allowable value. If the standard deviation of the historical power frequency magnetic field strength is less than the allowable value, the first interference coefficient of the radar carrier frequency is zero. Radar positioning magnetic field interference parameters, including magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change value, and permeability spatial non-uniformity, can be obtained by scanning and processing through the three-dimensional vector magnetic field scanning system built into the substation. When in use, a data access request can be sent to the data control center of the substation. After the data control center of the substation agrees to the request, the magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change value, and permeability spatial non-uniformity can be obtained.

[0045] The specific method for obtaining the magnetic field positioning interference value is as follows: ; In the formula, CG represents the magnetic field positioning interference value, L1 represents the radar carrier frequency first interference coefficient, ZM represents the magnetic flux density gradient tensor, JM represents the magnetic flux density gradient tensor reference value, WM represents the eddy current loss power density, JW represents the eddy current loss power density reference value, TB represents the magnetostriction coefficient mutation value, JB represents the magnetostriction coefficient mutation reference value, ZD represents the permeability spatial non-uniformity, JD represents the permeability spatial non-uniformity reference value, ε1 represents the magnetic flux density gradient tensor weighting factor, ε2 represents the eddy current loss power density weighting factor, ε3 represents the magnetostriction coefficient mutation value weighting factor, and ε4 represents the permeability spatial non-uniformity weighting factor.

[0046] The magnetic field interference value for radar positioning is obtained by analyzing parameters including the magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change, and permeability spatial non-uniformity. This analysis takes into account the interrelationships between these parameters. For example, the magnetic flux density gradient tensor reflects the drastic changes in the magnetic field in space. When its value is large, it can cause distortion of the magnetic field direction and intensity in the radar signal propagation path, affecting echo consistency. A strong magnetic gradient also promotes the formation of intense eddy currents in conductive structures, thereby increasing the eddy current loss power density, enhancing local thermal effects, causing temperature drift in the sensitive components of the radar sensor, and interfering with the stability of signal reception. The concentrated eddy current region can also cause microstructural responses in the material, manifested as a magnetostriction effect, inducing minor vibrations or deformations in the elevator's metal structure, causing a shift in the phase center of the radar antenna. Furthermore, if there is non-uniformity in the permeability, the magnetic energy conduction path is restricted, forming a local magnetic field distortion region, further exacerbating radar positioning errors.

[0047] The weighting factors for the magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change, and permeability spatial inhomogeneity can be obtained from a database. For example, the weighting factor for the magnetic flux density gradient tensor can be obtained by retrieving historical magnetic flux density gradient tensor intervals from the database and comparing them with the actual magnetic flux density gradient tensor. If the magnetic flux density gradient tensor falls within a certain historical interval, the corresponding historical magnetic flux density gradient tensor weighting factor is obtained. This historical magnetic flux density gradient tensor weighting factor undergoes extremum removal (removing the maximum and minimum values), and is then used to determine the optimal weighting factor for the magnetic flux density gradient tensor. The standard deviation of these factors is taken to obtain the standard deviation of the historical magnetic flux density gradient tensor weighting factor, which is then used as the weighting factor of the magnetic flux density gradient tensor. The other weighting factors are obtained in the same way as the magnetic flux density gradient tensor weighting factor. They can all be obtained by comparing with the database and then using the standard deviation of the historical weighting factor after removing the extreme values ​​as their corresponding weighting factors. Specifically, the eddy current loss power density weighting factor corresponds to the standard deviation of the historical eddy current loss power density weighting factor, the magnetostriction coefficient mutation value weighting factor corresponds to the standard deviation of the historical magnetostriction coefficient mutation value weighting factor, and the permeability spatial non-uniformity weighting factor corresponds to the standard deviation of the historical permeability spatial non-uniformity weighting factor.

[0048] Furthermore, the second correction coefficient for the radar carrier frequency is obtained. Specifically, the magnetic field positioning interference value is compared with a preset magnetic field positioning interference reference value in the database. If the magnetic field positioning interference value is below the magnetic field positioning interference reference value, the second correction coefficient for the radar carrier frequency is zero. Otherwise, the difference between the magnetic field positioning interference value and the magnetic field positioning interference reference value is processed to obtain a magnetic field positioning interference reference difference. A multiple analysis is performed between the magnetic field positioning interference reference difference and a preset magnetic field positioning interference span to obtain a magnetic field positioning interference span multiple. The magnetic field positioning interference span multiple is multiplied by a preset second coefficient for radar carrier frequency variation corresponding to a single-level magnetic field positioning interference span to obtain a second comprehensive change coefficient for the radar carrier frequency. Finally, the second comprehensive change coefficient for the radar carrier frequency is added to a preset second reference correction coefficient for the radar carrier frequency to obtain the second correction coefficient for the radar carrier frequency.

[0049] Further, the radar analog-to-digital conversion gain value is adjusted. Specifically, the adjustment range of the radar sensing calibration is obtained, including the crystal oscillator frequency adjustment value and the antenna phase center adjustment value. A preset adjustment range comparison set is obtained from the database, including the crystal oscillator frequency adjustment amount comparison value and the antenna phase center adjustment amount comparison value. A comparative analysis is performed between the crystal oscillator frequency adjustment value and the crystal oscillator frequency adjustment amount comparison value to obtain a crystal oscillator frequency adjustment comparison value. This comparison value is then matched with the database to obtain a crystal oscillator frequency gain adjustment coefficient. A comparative analysis is performed between the antenna phase center adjustment value and the antenna phase center adjustment amount comparison value to obtain an antenna phase center adjustment comparison value. This comparison value is then matched with the database to obtain an antenna phase center gain adjustment coefficient. The real-time radar analog-to-digital conversion gain value is obtained. Based on the crystal oscillator frequency gain adjustment coefficient, the antenna phase center gain adjustment coefficient, the radar carrier frequency first correction coefficient, and the radar carrier frequency second correction coefficient, the real-time radar analog-to-digital conversion gain value is adjusted accordingly to obtain the adjusted current radar analog-to-digital conversion gain value.

[0050] In this embodiment, as Figure 3 As shown, Figure 3This is a flowchart illustrating the optimized and adjusted real-time spatial position acquisition process of radar sensing in a hoist operation data monitoring method provided by an embodiment of the present invention. Upon receiving a radar analog-to-digital conversion gain adjustment signal, the radar positioning potential interference parameters are obtained and analyzed to obtain the potential interference value of the construction area. This value is then matched with a database to obtain the first radar carrier frequency correction coefficient. The radar positioning magnetic field interference parameters and the real-time radar carrier frequency are obtained, and the magnetic field positioning interference value is analyzed and matched with a database to obtain the second radar carrier frequency correction coefficient. The first and second radar carrier frequency correction coefficients are jointly labeled as a radar carrier frequency correction coefficient set. The adjustment range of the radar sensing calibration is obtained. Based on the adjustment range of the radar sensing calibration and the radar carrier frequency correction coefficient set, the radar analog-to-digital conversion gain value is adjusted, thereby obtaining the optimized and adjusted real-time spatial position of the radar sensing.

[0051] A comparative analysis of the crystal oscillator frequency adjustment value and the crystal oscillator frequency adjustment amount reference value is conducted to obtain the crystal oscillator frequency adjustment reference value, specifically by dividing the crystal oscillator frequency adjustment value by the crystal oscillator frequency adjustment amount reference value.

[0052] The crystal oscillator frequency gain adjustment coefficient is obtained as follows: First, obtain the preset crystal oscillator frequency adjustment comparison benchmark value, the initial crystal oscillator frequency gain adjustment coefficient, and the superposition coefficient of crystal oscillator frequency gain adjustment from the database. Then, perform difference processing between the crystal oscillator frequency adjustment comparison value and the crystal oscillator frequency adjustment comparison benchmark value to obtain the crystal oscillator frequency adjustment difference value. Since the crystal oscillator frequency adjustment comparison benchmark value is a very small value, the crystal oscillator frequency adjustment difference value is positive. Divide the crystal oscillator frequency adjustment difference value by the preset single-stage crystal oscillator frequency gain adjustment coefficient to obtain the crystal oscillator frequency gain adjustment multiple. Finally, multiply the crystal oscillator frequency gain adjustment multiple by the crystal oscillator frequency gain adjustment superposition coefficient and add the initial crystal oscillator frequency gain adjustment coefficient to obtain the crystal oscillator frequency gain adjustment coefficient.

[0053] A comparative analysis of the antenna phase center adjustment value and the antenna phase center adjustment amount comparison value is conducted to obtain the antenna phase center adjustment comparison value, specifically by dividing the antenna phase center adjustment value by the antenna phase center adjustment amount comparison value.

[0054] The antenna phase center adjustment comparison value is matched with the database to obtain the antenna phase center gain adjustment coefficient. Specifically, the following method is used: A preset antenna phase center adjustment comparison reference value, initial antenna phase center adjustment coefficient, and superposition antenna phase center adjustment coefficient are obtained from the database. The difference between the antenna phase center adjustment comparison value and the antenna phase center adjustment comparison reference value is processed to obtain the antenna phase center adjustment difference value. Since the antenna phase center adjustment comparison reference value is a very small value, the antenna phase center adjustment difference value is positive. The antenna phase center adjustment multiple is obtained by dividing the antenna phase center adjustment difference value by the preset single-stage antenna phase center adjustment coefficient. The antenna phase center adjustment coefficient is then obtained by multiplying the antenna phase center adjustment multiple by the antenna phase center adjustment superposition coefficient and adding the initial antenna phase center adjustment coefficient.

[0055] It should be noted that the real-time radar analog-to-digital conversion (ADC) gain value is adjusted based on the crystal oscillator frequency gain adjustment coefficient, antenna phase center gain adjustment coefficient, radar carrier frequency first correction coefficient, and radar carrier frequency second correction coefficient to obtain the adjusted current ADC gain value. Specifically, when adjusting the real-time ADC gain value, if the elevator is in a region with strong interference (e.g., a 220kV region), and then moves from a region with strong interference to a region with weak interference (e.g., a 110kV region), the ADC gain value needs to be reduced. Appropriately reducing the ADC gain value can prevent the receiver from saturating due to strong interference signals, avoiding signal distortion and the appearance of false targets. Conversely, if the elevator is in a region with weak interference (e.g., a 110kV region), and then moves from a region with weak interference to a region with strong interference (e.g., a 220kV region), the ADC gain value needs to be increased. Appropriately increasing the ADC gain value helps enhance the detection capability of weak targets. This allows for real-time adjustments to maintain optimal radar positioning performance in environments with varying interference levels, ensuring the safety and reliability of elevator operations.

[0056] To increase the radar analog-to-digital conversion gain and obtain the adjusted current radar analog-to-digital conversion gain, the specific method is as follows: ; In the formula, FZ represents the adjusted current radar analog-to-digital conversion gain value, SZ represents the real-time radar analog-to-digital conversion gain value, X1 represents the first correction coefficient of the radar carrier frequency, X2 represents the second correction coefficient of the radar carrier frequency, JZ represents the crystal oscillator frequency gain adjustment coefficient, and TX represents the antenna phase center gain adjustment coefficient.

[0057] To obtain the adjusted current radar analog-to-digital conversion gain, the method is as follows: ; In the formula, FZ represents the adjusted current radar analog-to-digital conversion gain value, SZ represents the real-time radar analog-to-digital conversion gain value, X1 represents the first correction coefficient of the radar carrier frequency, X2 represents the second correction coefficient of the radar carrier frequency, JZ represents the crystal oscillator frequency gain adjustment coefficient, and TX represents the antenna phase center gain adjustment coefficient.

[0058] Furthermore, self-masking avoidance adjustment is performed, specifically as follows: The coordinates of the beam transmission point are obtained using the positioning tool built into the substation; a test beam is transmitted at the beam transmission point coordinates based on the radar sensor, and the echo measurement beam strength and echo measurement distance of the test beam are obtained; preset echo measurement beam strength thresholds and echo measurement distance thresholds are obtained from the database; the echo measurement beam strength is compared with the echo measurement beam strength threshold, and the echo measurement distance is compared with the echo measurement distance threshold to obtain a self-masking determination result. If the echo measurement beam strength is greater than the echo measurement beam strength and the echo measurement distance is less than the echo measurement distance threshold, the self-masking determination result is that masking exists; otherwise, the self-masking determination result is that masking does not exist, and no self-masking avoidance adjustment is performed; if the self-masking determination result is that masking exists, the beam transmission angle is adjusted until the self-masking determination result is that masking does not exist, thus completing the self-masking avoidance adjustment.

[0059] In this embodiment, if the self-masking determination result indicates that there is obstruction, the beam emission angle is adjusted. Specifically, the current beam emission direction is used as the initial reference direction. The fine-tuning step size of the preset emission pitch angle and yaw angle in the database is obtained. While ensuring the structural stability of the elevator, the beam pitch angle is increased first to lift the elevator upward and bypass the obstruction area of ​​the basket or extension arm. If the pitch adjustment still results in obstruction, the yaw angle is adjusted within a limited range, and the angle is turned to the left or right in sequence until the self-masking determination result indicates that there is no obstruction, thus completing the self-masking avoidance adjustment.

[0060] like Figure 4The diagram shows the structure of the elevator operation data monitoring system provided in this embodiment of the application. The elevator operation data monitoring system includes: a radar perception calibration module, a radar carrier frequency adjustment module, an electromagnetic field interference judgment module, an initial optimization adjustment module, and a self-masking avoidance adjustment module. The radar perception calibration module is used to acquire radar perception impact parameters of the elevator operation after the elevator receives an operation command, thereby performing radar perception calibration to obtain the elevator's first sensing position, and analyzing the radar positioning judgment result. If the radar positioning judgment result is unqualified, the radar carrier frequency adjustment module is executed; otherwise, the operation continues. The radar carrier frequency adjustment module is used to acquire radar positioning execution interference impact parameters, analyze them to obtain the real-time reference radar detection carrier frequency, and thereby... The system adjusts the radar carrier frequency in real time and analyzes the adjustment results. If the adjustment result is unqualified, the electromagnetic interference judgment module is executed; otherwise, the operation continues. The electromagnetic interference judgment module acquires radar positioning potential interference parameters and radar positioning magnetic field interference parameters and combines them with real-time radar carrier frequency analysis to obtain a radar carrier frequency correction coefficient set. The initial optimization adjustment module acquires the adjustment range of radar sensing calibration and combines it with the radar carrier frequency correction coefficient set to adjust the radar analog-to-digital conversion gain value, obtaining the optimized and adjusted real-time spatial position of radar sensing. The self-masking avoidance adjustment module analyzes the optimization adjustment judgment results based on the optimized and adjusted real-time spatial position of radar sensing. If the optimization adjustment judgment result is qualified, the adjustment is completed; otherwise, self-masking avoidance adjustment is performed.

[0061] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0062] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0063] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0064] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0065] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0066] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0067] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0068] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for monitoring elevator operation data, characterized in that, The method includes: S1. After the elevator receives the operation command, it obtains the radar perception influence parameters of the elevator construction operation, and performs radar perception calibration to obtain the first sensor position of the elevator. Then it analyzes the radar positioning judgment result. If the radar positioning judgment result is unqualified, it executes S2; otherwise, it continues to execute the operation. S2. Obtain the interference impact parameters of radar positioning, analyze and obtain the real-time reference radar detection carrier frequency, adjust the radar carrier frequency in real time, and analyze the radar carrier frequency adjustment judgment result. If the radar carrier frequency adjustment judgment result is unqualified, execute S3; otherwise, continue to execute the operation. S3. Obtain radar positioning potential interference parameters and radar positioning magnetic field interference parameters, and combine them with real-time radar carrier frequency analysis to obtain a set of radar carrier frequency correction coefficients; S4. Obtain the adjustment range of radar sensing calibration and combine it with the radar carrier frequency correction coefficient set to perform radar analog-to-digital conversion gain value adjustment, so as to obtain the optimized and adjusted real-time spatial position of radar sensing. S5. Based on the optimized and adjusted radar perception real-time spatial position analysis and optimization adjustment judgment results, if the optimization adjustment judgment results are qualified, the adjustment is completed; otherwise, self-masking and avoidance adjustment is performed. The radar positioning determination result is obtained using the following method: Acquire radar perception impact parameters for elevator construction operations, including crystal oscillator frequency drift and antenna phase center offset. The crystal oscillator frequency drift is matched with the database to obtain the crystal oscillator frequency drift processing gradient, and the antenna phase center offset is matched with the database to obtain the antenna phase center offset processing gradient. The crystal frequency is adjusted by processing the crystal frequency drift gradient, and the antenna phase center offset is zero-point calibrated and adjusted by processing the antenna phase center offset gradient, thereby completing the radar sensing calibration. The position of the elevator is detected by the radar positioning sensor after radar perception calibration, and the first sensing position of the elevator is obtained. The second sensor position of the elevator is obtained by the positioning tool built into the substation. The radar positioning judgment result is obtained based on the first sensor position and the second sensor position of the elevator. If the first sensor position and the second sensor position of the elevator are equivalently overlapped, the radar positioning judgment result is qualified; otherwise, the radar positioning judgment result is unqualified.

2. The method for monitoring elevator operation data according to claim 1, characterized in that, The method for obtaining the real-time reference radar detection carrier frequency is as follows: The radar positioning execution interference impact parameters are obtained, including the location and type of each interference source in the current area. Each interference source in the current area is denoted as a common space interference source. Based on the type of each common space interference source, the interference impact value of each common space interference source is statistically obtained. The distance between each common space interference source and the elevator is obtained and recorded as the real-time impact distance of each common space interference source. This distance is then matched with the database to obtain the real-time comprehensive interference impact value. The real-time integrated interference impact value is compared with the preset integrated interference impact benchmark value to obtain the integrated interference impact benchmark difference value. Based on the integrated interference impact benchmark difference value and the preset integrated interference gradient, a multiplier analysis is performed to obtain the integrated interference multiplier. Based on the integrated interference multiplier and the preset single-level radar detection carrier frequency adjustment factor, a multiplicative coupling process is performed to obtain the radar detection carrier frequency adjustment value. The real-time radar detection carrier frequency is corrected based on the radar detection carrier frequency adjustment value to obtain the adjusted real-time radar detection carrier frequency, which is then marked as the real-time reference radar detection carrier frequency.

3. The method for monitoring elevator operation data according to claim 1, characterized in that, The method for obtaining the radar carrier frequency correction coefficient set is as follows: Acquire radar positioning potential interference parameters, radar positioning magnetic field interference parameters, and real-time radar carrier frequency; The potential interference value of the construction area is obtained based on the analysis of radar positioning potential interference parameters. The first correction coefficient of the radar carrier frequency is obtained by matching the potential interference value of the construction area with the database. The magnetic field positioning interference value is obtained based on the radar positioning magnetic field interference parameters and real-time radar carrier frequency analysis. The second correction coefficient of the radar carrier frequency is obtained by matching the magnetic field positioning interference value with the database. The first and second correction coefficients of the radar carrier frequency are jointly labeled as the radar carrier frequency correction coefficient set.

4. The method for monitoring elevator operation data according to claim 3, characterized in that, The method for obtaining the first correction coefficient of the radar carrier frequency is as follows: The potential interference value of the construction area is compared with the preset potential interference benchmark value in the database. If the potential interference value of the construction area is below the potential interference benchmark value, the first correction coefficient of the radar carrier frequency is zero. Otherwise, the difference between the potential interference value and the preset potential interference benchmark value is processed to obtain the potential interference benchmark difference. The potential interference benchmark difference is compared with the preset potential interference span to obtain the potential interference span multiple. The radar carrier frequency first comprehensive change coefficient is obtained by multiplicatively coupling the potential interference span multiple with the preset single-level potential interference span corresponding to the radar carrier frequency change first coefficient. The radar carrier frequency first correction coefficient is obtained by coupling the radar carrier frequency first comprehensive variation coefficient with the preset radar carrier frequency first reference correction coefficient.

5. The method for monitoring elevator operation data according to claim 3, characterized in that, The specific method for obtaining the magnetic field positioning interference value is as follows: Obtain real-time radar carrier frequency; The first interference coefficient of the radar carrier frequency is obtained by matching the real-time radar carrier frequency with the database. The radar positioning magnetic field interference parameters are obtained, including magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt value and magnetic permeability spatial non-uniformity. The preset radar positioning magnetic field interference reference set in the database is obtained and proportional analysis is performed with the radar positioning magnetic field interference parameters to obtain the radar positioning magnetic field interference proportional analysis result. Based on the radar positioning magnetic field interference proportional analysis result, the corresponding weighting factor is introduced for coupling processing to obtain the radar positioning magnetic field interference coupling value. Based on the radar positioning magnetic field interference coupling value and the radar carrier frequency first interference coefficient, multiplicative coupling analysis is performed to obtain the magnetic field positioning interference value. The radar positioning magnetic field interference reference set includes reference values ​​for magnetic flux density gradient tensor, eddy current loss power density, magnetostriction coefficient abrupt change, and permeability spatial non-uniformity.

6. The method for monitoring elevator operation data according to claim 1, characterized in that, The method for obtaining the second correction coefficient of the radar carrier frequency is as follows: The magnetic field positioning interference value is compared with the preset magnetic field positioning interference benchmark value in the database. If the magnetic field positioning interference value is below the magnetic field positioning interference benchmark value, the second correction coefficient of the radar carrier frequency is zero. Otherwise, the difference between the magnetic field positioning interference value and the magnetic field positioning interference benchmark value is processed to obtain the magnetic field positioning interference benchmark difference. The magnetic field positioning interference benchmark difference is compared with the preset magnetic field positioning interference span to obtain the magnetic field positioning interference span multiple. The radar carrier frequency second comprehensive change coefficient is obtained by multiplicatively coupling the magnetic field positioning interference span multiple with the preset single-level magnetic field positioning interference span corresponding to the radar carrier frequency change second coefficient. The second radar carrier frequency correction coefficient is obtained by coupling the second comprehensive variation coefficient of the radar carrier frequency with the preset second reference correction coefficient of the radar carrier frequency.

7. The method for monitoring elevator operation data according to claim 1, characterized in that, The specific method for adjusting the radar analog-to-digital conversion gain value is as follows: The adjustment range of radar sensing calibration is obtained, which includes the crystal oscillator frequency adjustment value and the antenna phase center adjustment value; Obtain a preset adjustment range reference set from the database, the adjustment range reference set including crystal oscillator frequency adjustment reference value and antenna phase center adjustment reference value; By comparing and analyzing the crystal oscillator frequency adjustment value with the crystal oscillator frequency adjustment amount reference value, a crystal oscillator frequency adjustment reference value is obtained. Based on the crystal oscillator frequency adjustment reference value and the database, the crystal oscillator frequency gain adjustment coefficient is obtained. By comparing and analyzing the antenna phase center adjustment value with the antenna phase center adjustment amount comparison value, the antenna phase center adjustment comparison value is obtained. The antenna phase center gain adjustment coefficient is obtained by matching the antenna phase center adjustment comparison value with the database. Obtain real-time radar analog-to-digital conversion gain value; The real-time radar analog-to-digital conversion gain value is adjusted accordingly based on the crystal oscillator frequency gain adjustment coefficient, the antenna phase center gain adjustment coefficient, the radar carrier frequency first correction coefficient, and the radar carrier frequency second correction coefficient to obtain the adjusted current radar analog-to-digital conversion gain value.

8. The method for monitoring elevator operation data according to claim 1, characterized in that, The specific method for performing self-occlusion avoidance adjustment is as follows: The coordinates of the beam transmission point are obtained using the positioning tools built into the substation. Based on the radar sensor, a test beam is emitted at the coordinates of the beam emission point, and the echo of the test beam is obtained to determine the beam strength and the echo measurement distance. Obtain the preset echo measurement beam intensity threshold and echo measurement distance threshold from the database; The self-masking determination result is obtained by comparing the echo measurement beam strength with the echo measurement beam strength threshold and the echo measurement distance with the echo measurement distance threshold. If the echo measurement beam strength is greater than the echo measurement beam strength and the echo measurement distance is less than the echo measurement distance threshold, the self-masking determination result is that there is masking; otherwise, the self-masking determination result is that there is no masking and no self-masking avoidance adjustment is performed. If the self-masking determination result indicates that there is masking, the beam emission angle is adjusted until the self-masking determination result indicates that there is no masking, thus completing the self-masking avoidance adjustment.

9. A system applying the elevator operation data monitoring method as described in any one of claims 1-8, characterized in that, include: Radar perception calibration module, radar carrier frequency adjustment module, electromagnetic field interference judgment module, initial optimization adjustment module, and self-masking avoidance adjustment module; The radar perception calibration module is used to obtain the radar perception influence parameters of the elevator construction operation after the elevator receives the operation command, and then perform radar perception calibration to obtain the first sensing position of the elevator. The radar positioning judgment result is then analyzed. If the radar positioning judgment result is unqualified, the radar carrier frequency adjustment module is executed; otherwise, the operation continues. The radar carrier frequency adjustment module is used to acquire the interference impact parameters of radar positioning execution, analyze and obtain the real-time reference radar detection carrier frequency, thereby adjusting the radar carrier frequency in real time, and analyzing the radar carrier frequency adjustment judgment result. If the radar carrier frequency adjustment judgment result is unqualified, the electromagnetic field interference judgment module is executed; otherwise, the operation continues. The electromagnetic interference determination module is used to obtain radar positioning potential interference parameters and radar positioning magnetic field interference parameters, and combine them with real-time radar carrier frequency analysis to obtain a set of radar carrier frequency correction coefficients. The initial optimization adjustment module is used to obtain the adjustment range of radar perception calibration and combine it with the radar carrier frequency correction coefficient set to perform radar analog-to-digital conversion gain value adjustment, so as to obtain the optimized and adjusted real-time spatial position of radar perception. The self-masking and avoidance adjustment module is used to perform optimization and adjustment judgment based on the real-time spatial position analysis of the optimized radar perception. If the optimization and adjustment judgment result is qualified, the adjustment is completed; otherwise, self-masking and avoidance adjustment is performed.

Images