Passenger ladder and vehicle state control method for aviation escalator

Abstract

The embodiment of the invention provides an aviation escalator passenger elevator state control method. The aviation escalator passenger elevator state control method comprises the steps that interference signals in the current environment are detected and recognized through the wireless spectrum analysis technology; the detected interference signal parameters are sent to a central control system; adjusting the working frequency of the passenger elevator vehicle of the escalator based on the interference signal parameter; the passenger elevator vehicle reconfigures a communication module according to the adjusted frequency; and periodically feeding back the communication state to the central control system to verify the signal stability. Through the scheme of the embodiment of the invention, the problem of signal interference caused by simultaneous working of a plurality of devices in a high-flow airport environment can be solved.

Description

Technical Field

[0001] The present application relates to the technical field of automatic control of aircraft ground support equipment, and in particular to a method for controlling the state of an escalator passenger elevator car for aviation. Background Art

[0002] Aviation escalator passenger elevator is a kind of equipment used in airports. However, it faces a major problem in high-traffic airport environments, namely the signal interference problem caused by multiple devices working at the same time. In such a dense environment, multiple sensors and control systems may interfere with each other, affecting the communication quality, thereby reducing the efficiency and reliability of the system. Therefore, how to effectively solve this problem is the key to ensure that the method can achieve the best effect in practical applications. Summary of the invention

[0003] In view of this, an embodiment of the present disclosure provides a method for controlling the state of an escalator passenger car for aviation, which at least partially solves the problems existing in the prior art.

[0004] The present invention provides a method for controlling the state of an automatic escalator passenger elevator car for aviation, comprising:

[0005] Use wireless spectrum analysis technology to detect and identify interference signals in the current environment;

[0006] Sending detected interference signal parameters to a central control system;

[0007] Adjusting the operating frequency of the escalator passenger elevator car based on interference signal parameters;

[0008] The escalator passenger elevator car reconfigures the communication module according to the adjusted frequency;

[0009] Regularly feed back communication status to the central control system to verify signal stability.

[0010] In a specific embodiment, adjusting the operating frequency of the escalator passenger elevator car based on the interference signal parameter includes:

[0011] Collect operating frequency and interference intensity data from various devices in the airport environment;

[0012] Sort the collected data and select the frequency interval with the least interference;

[0013] Use the selected frequency interval as the new operating frequency;

[0014] During the adjustment process, ensure that the operating frequency changes smoothly to avoid new interference to other equipment.

[0015] In a specific embodiment, selecting the frequency interval with the least interference includes:

[0016] Divide all collected frequency intervals into multiple sub-intervals;

[0017] Calculate the average interference intensity of each sub-interval;

[0018] Select the sub-interval with the smallest average interference intensity as the target interval;

[0019] Ensure that the selected sub-interval contains at least m continuous frequency points, where m is the minimum number of available frequency points required by the system.

[0020] In a specific embodiment, calculating the average interference strength of each sub-interval includes:

[0021] Divide the frequency interval into multiple subintervals, and the width of each subinterval is w;

[0022] Traverse the frequency points in each sub-interval and record their interference intensity;

[0023] By formula Calculate the average interference intensity of each sub-interval, where I i represents the interference intensity of the ith frequency point, and n represents the number of frequency points in the subinterval;

[0024] Check whether the average interference intensity of the sub-interval is lower than the preset threshold T.

[0025] In a specific embodiment, ensuring that the selected subinterval contains at least m consecutive frequency points includes:

[0026] Determine the number of frequency points n in each subinterval;

[0027] Check whether the length of the subinterval satisfies n≥m, where m is the minimum number of available frequency points required by the system;

[0028] If the length of a subinterval does not satisfy n≥m, the subinterval is excluded;

[0029] The sub-interval with the smallest average interference intensity is selected from the sub-intervals that meet the conditions.

[0030] In a specific embodiment, checking whether the length of the subinterval satisfies n≥m includes:

[0031] Determine the starting and ending frequencies f1 and f2 of the subinterval;

[0032] Calculate the number of frequency points in the subinterval Where Δf is the frequency point interval;

[0033] Determine whether n≥m is satisfied;

[0034] If not, the subinterval is marked as invalid.

[0035] In a specific embodiment, selecting a subinterval with the smallest average interference strength from the subintervals that meet the conditions includes:

[0036] Traverse all valid sub-intervals and obtain the average interference intensity I of each sub-interval avg ;

[0037] All valid sub-intervals are divided into two groups according to the average interference intensity I avg Sort by

[0038] Select the effective sub-interval with the minimum average interference intensity;

[0039] Check whether the frequency range of the selected sub-interval conflicts with the operating frequency of existing equipment, and make sure there is no conflict before selecting.

[0040] The disclosed embodiment provides a method for controlling the state of an escalator passenger elevator car for aviation, including using wireless spectrum analysis technology to detect and identify interference signals in the current environment; sending the detected interference signal parameters to a central control system; adjusting the operating frequency of the escalator passenger elevator car based on the interference signal parameters; reconfiguring the communication module of the escalator passenger elevator car according to the adjusted frequency; and regularly feeding back the communication state to the central control system to verify signal stability. The solution of the disclosed embodiment can solve the signal interference problem caused by multiple devices working simultaneously in a high-traffic airport environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the exemplary implementation methods of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the embodiments of the present disclosure and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 The present invention is a flow chart of a method for controlling the state of an automatic escalator passenger elevator car for aviation;

[0043] Figure 2 is a flow chart for adjusting the operating frequency of an escalator passenger elevator car based on interference signal parameters;

[0044] Figure 3 It is a flow chart for selecting the frequency interval with the least interference;

[0045] Figure 4 is a flow chart for calculating the average interference intensity of each subinterval;

[0046] Figure 5It is a flow chart that ensures that the selected subinterval contains at least m consecutive frequency points;

[0047] Figure 6 It is a flow chart to check the length of the subinterval;

[0048] Figure 7 It is a flowchart for selecting a sub-interval with the smallest average interference intensity among sub-intervals that meet the conditions. DETAILED DESCRIPTION

[0049] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0050] The following describes the embodiments of the present disclosure through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0051] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0052] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The drawings only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0053] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0054] Next, refer to Figure 1 , describes a method for controlling the state of an escalator passenger car for aviation of the present invention, which can effectively solve the signal interference problem caused by multiple devices working simultaneously in a high-traffic airport environment. The method includes:

[0055] S101: Detect and identify interference signals in the current environment using wireless spectrum analysis technology;

[0056] S102: Sending the detected interference signal parameters to the central control system;

[0057] S103: adjusting the operating frequency of the escalator passenger elevator car based on the interference signal parameter;

[0058] S104: The escalator passenger elevator car reconfigures the communication module according to the adjusted frequency;

[0059] S105: Regularly feed back the communication status to the central control system to verify signal stability.

[0060] In a high-traffic airport environment, multiple aviation devices running simultaneously will lead to tight wireless spectrum resources, causing signal interference. Through the above method, the escalator passenger elevator car can maintain a stable communication state in a constantly changing wireless environment.

[0061] First, wireless spectrum analysis technology is used to detect and identify interference signals in the current environment. This step is the basis of the entire method, which involves comprehensive and real-time monitoring of the surrounding wireless environment. Through the wireless spectrum analyzer, the system can scan all active signals in a specific frequency band and accurately measure and record the frequency, strength and other parameters of each signal. In one embodiment, assuming that there are a large number of Wi-Fi routers, radar equipment, and other mobile communication base stations in an airport, the wireless spectrum analyzer can complete the full-band scan in a very short time and accurately identify the signal sources that may interfere with the wireless communication of the escalator passenger elevator car. This information is crucial for subsequent interference mitigation measures.

[0062] Secondly, the detected interference signal parameters are sent to the central control system. This process realizes data transmission through a preset secure network connection, ensuring the integrity and timeliness of information during the transmission process. After receiving the information from different escalator passenger elevator cars, the central control system summarizes and processes it and establishes a database. The purpose of this is to enable the system to quickly locate the location and characteristics of the most serious interference. Specifically, in the aforementioned embodiment, the central control system will receive data sent back by multiple escalator passenger elevator cars, analyze which areas have more concentrated interference and which types of technology or equipment are mainly caused by it.

[0063] Third, adjust the operating frequency of the escalator passenger elevator car based on the interference signal parameters. By analyzing the interference signal parameters, the central control system can intelligently select a new operating frequency point with less interference and send it to the relevant escalator passenger elevator car. This measure can avoid most interference sources without affecting normal communication. For example, if the central system determines that the interference in the 900MHz to 1GHz frequency band is the strongest, it can choose to adjust the operating frequency to a lower or higher frequency band, such as the 5.8GHz band.

[0064] The escalator passenger elevator car then reconfigures the communication module according to the adjusted frequency. After receiving the command, each escalator passenger elevator car will automatically complete the corresponding hardware or software settings inside and switch to the specified operating frequency. This step requires high adaptability and fast operation speed to minimize communication interruptions caused by frequency changes. Specifically, when an escalator passenger elevator car receives a frequency change command from the central control system, it will immediately shut down the old radio link and then activate the module configured with the new frequency to restore the connection with other devices.

[0065] Finally, the communication status is regularly fed back to the central control system to verify signal stability. It is very necessary to continuously monitor the new communication environment throughout the control cycle. Each escalator passenger elevator car reports its own communication quality indicators (such as packet loss rate, bit error rate, etc.) to the central at regular intervals. This helps to discover and respond quickly to any potential new interference problems in real time. For example, in some cases, even if a strong interference point is initially avoided, the original frequency band may become a severely interfered section again due to changes in external factors over a period of time. At this time, the central control system can adjust the working parameters of the equipment again based on the new information collected, so as to always maintain good communication performance.

[0066] Next, refer to Figure 2 , describing the specific steps of adjusting the operating frequency of the escalator passenger car based on the interference signal parameters of the present invention.

[0067] S201: Collect operating frequency and interference intensity data from various devices in the airport environment. This step is to obtain information about the electromagnetic environment that the escalator passenger elevator faces during operation, including but not limited to parameters such as the transmission frequency, receiving sensitivity, and signal power of other devices. These data will be used for subsequent analysis to determine an optimal operating frequency range. For example, in an airport scenario, the operating frequency and corresponding interference intensity of radar equipment, wireless communication equipment, navigation systems, etc. may be collected.

[0068] S202: Sort the collected data and select the frequency interval with the least interference. By comparing the interference intensity at different frequencies, the frequency interval with less interference is screened out, so as to select the best working frequency band for the escalator passenger elevator car. Specifically, it is assumed that after data analysis, it is found that the signal interference is relatively weak between 2400MHz and 2450MHz, so this interval will be selected as a candidate frequency band. In this process, a weighted average algorithm may be used to calculate the interference level of different frequency intervals. The weights can take into account factors such as the distance of the equipment and the signal propagation characteristics, and finally the frequency interval with the lowest comprehensive interference intensity is obtained.

[0069] S203: Use the selected frequency interval as the new operating frequency. Once the most suitable frequency interval is confirmed, it is set as the operating frequency of the escalator passenger elevator car. The adjusted frequency should be able to effectively reduce the impact of external interference on the normal operation of the equipment and ensure the communication quality and reliability of control command transmission. For example, in actual operation, the operating software or hardware controller of the escalator passenger elevator car will be updated so that it can operate stably on this new, less interfered frequency band.

[0070] S203: Ensure that the operating frequency changes smoothly during the adjustment process to avoid new interference to other devices. This link requires that the operating frequency should not be changed too abruptly or quickly, and should be adjusted gradually until the target frequency is reached to prevent sudden large-scale signal changes and adverse effects on other nearby electronic devices. To achieve this, the frequency conversion path can be set by linear interpolation, that is, F(t) = F0 + (Fn-F0) * t / T, where F(t) represents the actual operating frequency at time t; F0 represents the initial operating frequency; Fn is the target operating frequency; T is the preset complete frequency switching cycle; and t is the current time point. By adjusting the proportional relationship between T and t, the frequency switching rate can be flexibly controlled to complete the conversion as soon as possible while ensuring a smooth switching process. In addition, according to the actual application scenario requirements, it is very critical to reasonably set the T value. It must be fast enough to adapt to environmental changes, but it should not be too short to cause excessive instantaneous power and cause other system problems. The empirical value usually recommends that it is more suitable to select between 1 second and 10 seconds.

[0071] Next, refer to Figure 3 , describing the specific steps of selecting the frequency interval with the least interference of the present invention.

[0072] S301: Divide all collected frequency intervals into multiple sub-intervals. This is to evaluate the interference of each frequency point at a finer granularity, so as to accurately find the area with the least interference. In this process, the entire frequency interval can be evenly divided according to actual needs or unevenly divided according to specific standards (such as known high-frequency interference sections).

[0073] S302: Calculate the average interference intensity I of each sub-interval avg , the formula is:

[0074]

[0075] Among them, I i represents the interference intensity of the ith frequency point, and n represents the number of frequency points. In this step, the interference intensity can be measured by indicators such as the signal-to-noise ratio or bit error rate of the received signal. The calculation method of average interference intensity can effectively reduce the impact of abnormally high interference at a single frequency point, ensuring that the overall optimal interval selected is more stable. In general, I i The range of n can be from 0 (no interference) to infinity (completely unusable), and the optimal value of n depends on the specific requirements of the system and the length of the sub-intervals.

[0076] S303: Select the sub-interval with the smallest average interference intensity from the calculation results as the target interval. This process is based on the principle of minimizing overall interference to ensure that the selected frequency area can provide a relatively clean communication environment. This step is the core of the entire method and the optimal solution is obtained through quantitative analysis.

[0077] S304: Ensure that the selected sub-interval contains at least m continuous frequency points, where m is the minimum number of available frequency points required by the system. This is for the consideration of ensuring communication quality and continuity. Specifically, in some application scenarios, such as the state control method for automatic escalator passenger cars for aviation, if the system needs to transmit multiple data packets continuously, it must be ensured that there is a continuous spectrum of sufficient width available. For example, in one embodiment, if the state control system of the automatic escalator passenger car needs to operate within a 2MHz bandwidth, and each MHz needs to cover at least 10 continuous frequency points to ensure data transmission quality, then the value of m in this scenario should be set to 20.

[0078] Through the above steps, the method can effectively identify the frequency range with the least interference, providing a reliable solution for system communication in complex electromagnetic environments.

[0079] Next, refer to Figure 4 , describing the specific steps of calculating the average interference strength of each sub-interval of the present invention.

[0080] S401: The frequency interval is divided into multiple sub-intervals, and the width of each sub-interval is w. This process aims to subdivide a larger frequency interval into several smaller sub-intervals so as to analyze the interference in each sub-interval in more detail. The width w of the sub-interval can be selected according to the actual situation. It is usually recommended to be in the range of 10-50Hz, and the optimal value is 20Hz. This ensures that each sub-interval has enough data points for statistics, while avoiding too many sub-intervals that lead to excessive computational complexity.

[0081] S402: Traverse the frequency points in each sub-interval and record their interference intensity. Interference intensity refers to the degree of signal attenuation or distortion caused by the external environment or other factors at a specific frequency point. In actual operation, the signal strength at each frequency point can be measured by a sensor, and the signal strength can be compared with the standard reference value to obtain the interference intensity. For example, in one embodiment, when the spectrum analyzer receives a wireless signal emitted from an aviation escalator passenger car, it collects the signal strength of 100 discrete frequency points within a bandwidth of 50 Hz and converts it into an interference intensity value.

[0082] S403: By formula Calculate the average interference intensity of each sub-interval, where I i represents the interference intensity of the ith frequency point, and n represents the number of frequency points in the subinterval. The purpose of this formula is to obtain the average interference intensity of the subinterval by summing the interference intensity of all frequency points and dividing it by the number of frequency points. i is the interference intensity at the ith frequency point, which can be any value between 0 and 100; n is the total number of frequency points in the subinterval, which can be from dozens to hundreds. Specifically, assuming there are 10 frequency points, namely 20, 22, 25, 30, 28, 23, 26, 27, 24, and 21, the average interference intensity of the subinterval is 25.

[0083] S404: Check whether the average interference intensity of the sub-interval is lower than the preset threshold T. The preset threshold T is usually a critical value determined based on experience or experiments, which indicates the maximum acceptable interference intensity. For example, T can be set to 30dB. In a specific embodiment, if the average interference intensity of a sub-interval is 25dB, and the preset threshold is 30dB, it is considered that the interference intensity in the sub-interval is within an acceptable range, and other sub-intervals can continue to be monitored or corresponding adjustment measures can be taken. Such a setting helps to promptly discover and handle situations that exceed the interference threshold, and ensure the normal operation of aviation escalator passenger elevators.

[0084] Next, refer to Figure 5 The specific steps of ensuring that the selected sub-interval contains at least m consecutive frequency points of the present invention are described as follows:

[0085] S501: Determine the number of frequency points n in each sub-interval. The purpose of this step is to understand the specific number of frequency points in each sub-interval, so as to evaluate whether these sub-intervals meet the criteria for further analysis. Here, n represents the total number of frequency points in each sub-interval, which is usually a positive integer, and its specific value depends on the spectrum division method in the actual application scenario.

[0086] S502: Check whether the length of the sub-interval satisfies n≥m, where m is the minimum number of available frequency points required by the system. This step is to ensure that the selected sub-interval can provide enough continuous frequency points to meet the basic needs of the system. Here, m is a system parameter, which represents the minimum number of continuous frequency points required by the system, and is usually also a positive integer. In order to ensure the performance and reliability of the system, the value of m needs to be set according to the specific application scenario. For example, in aviation communications, the value of m may usually be set between tens and hundreds, and the specific value needs to be determined through experiments or theoretical analysis.

[0087] S503: If the length of the sub-interval does not satisfy n≥m, the sub-interval is excluded. This step excludes sub-intervals that do not meet the conditions, ensuring that only sub-intervals that meet the basic frequency point requirements are considered in the subsequent selection process, thereby improving the overall efficiency and stability of the system.

[0088] S504: Select a sub-interval with the smallest average interference strength from among the sub-intervals that meet the conditions. This step is to select the best one from all sub-intervals that meet the conditions, so as to further reduce the interference to the system and improve the quality of signal transmission. Here, the average interference strength refers to the average value of the interference level at all frequency points in a sub-interval, which is usually obtained through monitoring or preset data.

[0089] In one embodiment, consider a state control system for an escalator passenger car for aviation. Assume that the minimum number of continuous frequency points required by the system is m=50, and the spectrum is divided into several sub-intervals, and the number of frequency points in each sub-interval is different. Specifically, assume that there are three sub-intervals, and their number of frequency points is 45, 55 and 70 respectively. The first step is to calculate the number of frequency points in each sub-interval, that is, n1=45, n2=55, and n3=70. The second step is to check whether the lengths of these sub-intervals satisfy n greater than or equal to 50. Obviously, the length of sub-interval 1 is 45<50, so it is excluded; sub-intervals 2 and 3 meet the conditions. The third step is to select the sub-interval with the smallest average interference intensity in sub-intervals 2 and 3 that meet the conditions. Assume that the average interference intensity of sub-interval 2 is 10 and the average interference intensity of sub-interval 3 is 5, and finally select sub-interval 3 as the optimized sub-interval. In this way, not only is the number of frequency points in the sub-interval ensured to be sufficient, but also the interference is minimized to the maximum extent, thereby improving the communication quality and system reliability.

[0090] Next, refer to Figure 6 , describing the step of checking whether the length of the subinterval satisfies n≥m of the present invention.

[0091] S601: Determine the starting and ending frequencies f1 and f2 of the sub-interval. This is to clarify the frequency range to be checked. For example, in a state control method for an escalator passenger car for aviation, if the sensor signal under a specific working state is to be checked, a starting frequency f1 = 100 Hz and an ending frequency f2 = 200 Hz may need to be set to analyze the response of the sensor in this frequency range.

[0092] S602: Calculate the number of frequency points in the sub-interval Where Δf is the frequency point interval. The parameter Δf here is the interval between frequency points, which is usually set according to system requirements and equipment performance. For example, if Δf = 1Hz, it means that the spacing between frequency points is 1Hz. This formula means how many frequency points are included from the starting frequency to the end frequency, plus the starting frequency point, so add 1. This calculation is to ensure that the density of the frequency distribution is high enough during the analysis process to more accurately capture signal changes. In this example, when calculating n, substitute f1, f2 and Δf, and get n = 200-100 / 1+1 = 101.

[0093] S603: Determine whether n satisfies n≥m, that is, check whether the calculated number of frequency points is not less than the preset minimum value m. Here, m is the minimum frequency point number threshold set according to specific application requirements. If m=50, in the above example, since n=101 is greater than m=50, the condition is met. This step ensures that the number of frequency points is sufficient to provide sufficient data analysis accuracy.

[0094] S604: If n does not satisfy n≥m, the subinterval is marked as invalid. For example, if n=30 and m=50 is calculated, the subinterval is considered invalid and does not participate in the subsequent state control analysis. In this way, the effectiveness and accuracy of the analysis can be ensured to avoid misjudgment or misoperation due to insufficient number of frequency points.

[0095] In this process, the selection of the key parameter Δf is particularly critical, which should usually be between 0.1Hz and 10Hz. The specific optimal value needs to be determined according to the actual application scenario and equipment accuracy. For example, in the case of high-resolution analysis, a smaller Δf value, such as 0.5Hz, can be selected; while in an environment with limited computing resources, a larger Δf value, such as 2Hz, can be selected. In this way, the system resources can be reasonably utilized while ensuring the analysis accuracy.

[0096] Next, refer to Figure 7, describing the step of selecting a subinterval with the smallest average interference strength among subintervals that meet the conditions of the present invention:

[0097] S701: Traverse all valid sub-intervals and obtain the average interference intensity I of each sub-interval avg This step involves checking all subintervals that meet the predetermined conditions one by one and calculating the average interference strength of each subinterval.

[0098] S702: All valid sub-intervals are divided into the average interference intensity I avg Sorting. This step sorts all the calculated average interference intensity values ​​from small to large, laying the foundation for the next step of selecting the subinterval with the lowest interference intensity. The selection of the sorting algorithm should take efficiency into consideration, such as quick sort, merge sort, etc.

[0099] S703: Select the effective sub-interval with the lowest average interference intensity. After the above sorting, the sub-interval with the lowest average interference intensity can be easily found. This step is critical because the selection of the sub-interval directly affects the stability and reliability of the system, especially in high-frequency working environments, where low interference is particularly important.

[0100] S704: Check whether the frequency range of the selected sub-interval conflicts with the operating frequency of existing equipment, and select it after ensuring that there is no conflict. This is because aviation escalator passenger elevators may need to operate in a complex environment where multiple devices work together, and ensure that the newly selected sub-interval does not interfere with the existing frequency to avoid potential communication or operation problems.

[0101] For example, in one embodiment, it is assumed that there is a series of pre-selected sub-intervals [3-5GHz, 5-7GHz, 7-9GHz], and the average interference strengths measured are 1.5dB, 0.8dB, and 1.2dB, respectively. After calculation and sorting, it is determined that the average interference strength of the 5-7GHz sub-interval is the smallest, but before that, it is necessary to further check whether 5-7GHz conflicts with existing Wi-Fi devices (the operating frequency bands are usually 5.150-5.250GHz, 5.250-5.350GHz, 5.470-5.725GHz, 5.725-5.825GHz). If it is confirmed that there is no conflict, the sub-interval is selected for subsequent operations. Otherwise, it is necessary to select the sub-interval with the second lowest interference strength to continue verification. Through such a process, the stability and safety of aviation escalator passenger elevators in complex environments can be effectively guaranteed.

[0102] A state control method for an escalator passenger car for aviation of the present invention uses advanced wireless spectrum analysis technology to detect and identify interference signals existing in the current environment. Next, the detected interference signal parameters will be sent to the central control system in real time. The central control system is a centralized management platform responsible for collecting interference information from multiple escalator passenger cars, evaluating the interference status in the current environment by comprehensive analysis of these data, and making decisions accordingly. Based on the received interference signal parameters, the central control system will calculate a new optimal operating frequency and send the frequency information back to the corresponding escalator passenger car. This process ensures that each device can operate efficiently with less interference from other devices, avoiding the problem of communication quality degradation caused by signal congestion. After receiving the new frequency configuration instruction, the escalator passenger car will make corresponding adjustments to its built-in communication module to adapt to the new working environment. By dynamically adjusting the working frequency, each escalator passenger car can maintain a stable communication connection in a highly complex electromagnetic environment, effectively reducing the risk of signal conflict. Finally, in order to further ensure the stability and reliability of the system, each escalator passenger car will also regularly feedback its own communication status to the central control system so as to promptly discover and solve new problems that may arise. This closed-loop control mechanism enables the entire system to always maintain good performance in a changing environment.

[0103] Through the above steps, the present invention not only solves the signal interference problem caused by multiple devices working simultaneously in a high-traffic airport environment, but also significantly improves the reliability and working efficiency of the escalator passenger elevator in a complex environment.

[0104] The above is a preferred embodiment of the present application. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for controlling the state of an escalator passenger car for aviation, characterized in that: include: Use wireless spectrum analysis technology to detect and identify interference signals in the current environment; Sending detected interference signal parameters to a central control system; Adjusting the operating frequency of the escalator passenger elevator car based on interference signal parameters; The escalator passenger elevator car reconfigures the communication module according to the adjusted frequency; Regularly feed back communication status to the central control system to verify signal stability.

2. The method for controlling the state of an escalator passenger car for aviation according to claim 1, characterized in that: The method of adjusting the operating frequency of the escalator passenger elevator car based on the interference signal parameter includes: Collect operating frequency and interference intensity data from various devices in the airport environment; Sort the collected data and select the frequency interval with the least interference; Use the selected frequency interval as the new operating frequency; During the adjustment process, ensure that the operating frequency changes smoothly to avoid new interference to other equipment.

3. The method for controlling the state of an escalator passenger car for aviation according to claim 2, characterized in that: The frequency interval with the least interference is selected as follows: Divide all collected frequency intervals into multiple sub-intervals; Calculate the average interference intensity of each sub-interval; Select the sub-interval with the smallest average interference intensity as the target interval; Ensure that the selected sub-interval contains at least m continuous frequency points, where m is the minimum number of available frequency points required by the system.

4. The method for controlling the state of an escalator passenger car for aviation according to claim 3, characterized in that: Calculating the average interference intensity of each sub-interval includes: Divide the frequency interval into multiple subintervals, and the width of each subinterval is w; Traverse the frequency points in each sub-interval and record their interference intensity; By formula Calculate the average interference intensity of each sub-interval, where I i represents the interference intensity of the ith frequency point, and n represents the number of frequency points in the subinterval; Check whether the average interference intensity of the sub-interval is lower than the preset threshold T.

5. The method for controlling the state of an escalator passenger car for aviation according to claim 4, characterized in that: The step of ensuring that the selected subinterval contains at least m continuous frequency points comprises: Determine the number of frequency points n in each subinterval; Check whether the length of the subinterval satisfies n≥m, where m is the minimum number of available frequency points required by the system; If the length of a subinterval does not satisfy n≥m, the subinterval is excluded; The sub-interval with the smallest average interference intensity is selected from the sub-intervals that meet the conditions.

6. The method for controlling the state of an escalator passenger car for aviation according to claim 5, characterized in that: The checking whether the length of the subinterval satisfies n≥m includes: Determine the starting and ending frequencies f1 and f2 of the subinterval; Calculate the number of frequency points in the subinterval Where Δf is the frequency point interval; Determine whether n≥m is satisfied; If not, the subinterval is marked as invalid.

7. The method for controlling the state of an escalator passenger car for aviation according to claim 6, characterized in that: The selecting of the subinterval with the smallest average interference intensity from the subintervals satisfying the conditions comprises: Traverse all valid sub-intervals and obtain the average interference intensity I of each sub-interval avg ; All valid sub-intervals are divided into two groups according to the average interference intensity I avg Sort by Select the effective sub-interval with the minimum average interference intensity; Check whether the frequency range of the selected sub-interval conflicts with the operating frequency of existing equipment, and make sure there is no conflict before selecting.

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