Elevator wireless signal transmission control method and system

Abstract

The application discloses an elevator wireless signal transmission control method and system, and relates to the technical field of signal transmission. In the method, the transmission effect score corresponding to each current wireless signal transmission scheme is obtained; when the transmission effect score is less than a preset transmission effect score, a plurality of environmental influence factors are determined; based on the plurality of environmental influence factors, a comprehensive environmental influence score is obtained; based on the transmission effect score and the comprehensive environmental influence score, the current wireless signal communication scheme is adjusted to obtain an adjusted wireless signal transmission scheme; and based on the adjusted wireless signal transmission scheme, the elevator wireless signal transmission is controlled. The technical scheme of the application can effectively reduce the interference on the wireless signal transmission in the application process of the elevator and effectively improve the signal transmission effect between the ground terminal and the elevator.

Description

Technical Field

[0001] This application relates to the field of signal transmission technology, specifically to a wireless signal transmission control method and system for an elevator. Background Technology

[0002] Elevators are primarily used in various high-rise and super high-rise buildings in cities. In traditional elevator applications, signals are transmitted from the ground end via a traveling cable. However, this method is unsuitable for elevators used in special environments, such as inclined rail elevators and elevators operating in high winds. Therefore, these elevators employ wireless signal transmission from the ground end. However, wireless signal transmission is susceptible to interference, resulting in poor signal transmission between the ground end and the elevator.

[0003] Therefore, how to reduce interference with wireless signal transmission during the application of elevators has become an urgent technical problem to be solved. Summary of the Invention

[0004] This application provides a wireless signal transmission control method and system for elevators, which can effectively reduce interference to wireless signal transmission during elevator application and effectively improve the signal transmission effect between the ground and the elevator.

[0005] In a first aspect, this application provides a method for controlling the wireless signal transmission of an elevator. The method includes: obtaining transmission effect scores corresponding to each current wireless signal transmission scheme; when the transmission effect score is less than a preset transmission effect score, determining multiple environmental influencing factors; obtaining a comprehensive environmental impact score based on the multiple environmental influencing factors; adjusting the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score to obtain an adjusted wireless signal transmission scheme; and controlling the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme.

[0006] By adopting the above technical solution and obtaining the transmission effect scores corresponding to each current wireless signal transmission scheme, the transmission quality and efficiency of each signal type can be accurately evaluated. When the transmission effect score is lower than the preset transmission effect score, by identifying multiple environmental influencing factors, a deeper understanding can be gained of how current environmental conditions affect the wireless signal transmission effect. Based on multiple environmental influencing factors, a comprehensive environmental impact score is obtained, which can quantify the overall impact of the environment on the wireless communication system. By adjusting the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score, an adjusted wireless signal transmission scheme is obtained, thereby ensuring that the wireless signal transmission achieves optimal performance in the current environment while effectively reducing interference to the wireless signal transmission. Finally, by controlling the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme, the signal transmission effect between the ground and the elevator can be effectively improved.

[0007] Optionally, the current wireless signal transmission scheme includes the current video signal transmission scheme, the current telephone voice signal transmission scheme, and the current control signal transmission scheme; before obtaining the transmission effect score corresponding to each current wireless signal transmission scheme, the method further includes: calculating the transmission effect score.

[0008] Optionally, calculating the transmission effect score specifically includes: determining multiple first wireless signal transmission indicators corresponding to the current video signal transmission scheme, and obtaining multiple first wireless signal transmission data based on the multiple first wireless signal transmission indicators; obtaining a first transmission score based on the multiple first wireless signal transmission data; determining multiple second wireless signal transmission indicators corresponding to the current telephone voice signal transmission scheme, and obtaining multiple second wireless signal transmission data based on the multiple second wireless signal transmission indicators; obtaining a second transmission score based on the multiple second wireless signal transmission data; determining multiple third wireless signal transmission indicators corresponding to the current control signal transmission scheme, and obtaining multiple third wireless signal transmission data based on the multiple third wireless signal transmission indicators; obtaining a third transmission score based on the multiple third wireless signal transmission data; and calculating the transmission effect score based on the first transmission score, the second transmission score, and the third transmission score.

[0009] By adopting the above technical solution, and by calculating the transmission effect score based on the first transmission score, the second transmission score, and the third transmission score, the performance of the entire wireless signal transmission can be comprehensively evaluated, thus providing a comprehensive evaluation basis and ensuring efficient transmission of wireless signals in different application scenarios.

[0010] Optionally, the step of calculating the transmission effect score based on the first transmission score, the second transmission score, and the third transmission score specifically includes: calculating the transmission effect score using the following formula: Y = αy1 + βy2 + γy3; where Y is the transmission effect score, y1 is the first transmission score, y2 is the second transmission score, y3 is the third transmission score, α is the first influence weight, β is the second influence weight, and γ is the third influence weight.

[0011] Optionally, the environmental impact factors include temperature, humidity, electromagnetic interference, wind force, and obstacle density. The step of obtaining a comprehensive environmental impact score based on multiple environmental impact factors specifically includes: acquiring multiple temperature detection data, multiple humidity detection data, multiple electromagnetic interference detection data, multiple wind force detection data, and multiple obstacle densities within a preset time period; normalizing the multiple temperature detection data to obtain a normalized temperature value; normalizing the multiple humidity detection data to obtain a normalized humidity value; normalizing the multiple electromagnetic interference detection data to obtain a normalized electromagnetic interference value; normalizing the multiple wind force detection data to obtain a normalized wind force value; normalizing the multiple obstacle densities to obtain a normalized density value; and calculating the comprehensive environmental impact score based on the normalized temperature value, the normalized humidity value, the normalized electromagnetic interference value, the normalized wind force value, and the normalized density value.

[0012] By adopting the above technical solution and normalizing the detection data corresponding to multiple environmental impact factors, the impact of each environmental impact factor on wireless signal transmission can be effectively assessed. Then, based on the normalized values, a comprehensive environmental impact score is calculated, which can comprehensively assess the overall impact of all key environmental factors on wireless signal transmission. This provides comprehensive data support for the overall optimization and adjustment of wireless signal transmission schemes, making the calculation of the comprehensive environmental impact score more accurate.

[0013] Optionally, the calculation of the comprehensive environmental impact score based on the normalized temperature value, the normalized humidity value, the normalized electromagnetic interference value, the normalized wind speed value, and the normalized density value specifically includes: calculating the comprehensive environmental impact score using the following formula: Wherein, X is the comprehensive environmental impact score, T is the normalized humidity value, H is the normalized electromagnetic interference value, E is the normalized electromagnetic interference value, W is the normalized wind speed value, O is the normalized density value, a is the first weighting factor, b is the second weighting factor, c is the third weighting factor, d is the fourth weighting factor, and e is the fifth weighting factor.

[0014] Optionally, the adjustment of the wireless signal transmission scheme includes adjusting the video signal transmission scheme, adjusting the telephone voice signal transmission scheme, and adjusting the control signal transmission scheme; the adjustment of the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score to obtain the adjusted wireless signal transmission scheme specifically includes: calculating a first error rate between the transmission effect score and a preset transmission effect score based on the transmission effect score; calculating a second error rate between the comprehensive environmental impact score and a preset environmental impact score based on the comprehensive environmental impact score; when the first error rate and / or the second error rate is less than a preset error rate threshold, adjusting the current video signal transmission scheme to obtain the adjusted video signal transmission scheme; adjusting the current telephone voice signal transmission scheme to obtain the adjusted telephone voice signal transmission scheme; and adjusting the current control signal transmission scheme to obtain the adjusted control signal transmission scheme.

[0015] By adopting the above technical solution, the deviation between the current wireless signal transmission scheme and the predetermined performance standard can be accurately quantified by calculating the first error rate between the transmission effect score and the preset transmission effect score based on the transmission effect score; the impact of the current environment on the wireless signal transmission performance can be effectively assessed by calculating the second error rate between the comprehensive environmental impact score and the preset environmental impact score based on the comprehensive environmental impact score; when the first error rate and / or the second error rate are less than the preset error rate threshold, the current video signal transmission scheme, the current telephone voice signal transmission scheme, and the current control signal transmission scheme can be adjusted to optimize and improve the effect of wireless signal transmission; thereby ensuring that the wireless signal transmission achieves optimal performance in the current environment and effectively reducing interference to the wireless signal transmission.

[0016] A second aspect of this application provides a wireless signal transmission control system for an elevator. The system includes an acquisition module, a processing module, and a control module. The acquisition module is used to acquire transmission effect scores corresponding to various current wireless signal transmission schemes. The processing module is used to determine multiple environmental influencing factors when the transmission effect score is less than a preset transmission effect score. The processing module is also used to obtain a comprehensive environmental impact score based on the multiple environmental influencing factors. The processing module is also used to adjust the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score to obtain an adjusted wireless signal transmission scheme. The control module is used to control the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme.

[0017] A third aspect of this application provides an electronic device including a processor, a memory, a user interface, and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any of the first aspects of this application.

[0018] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in any of the first aspects of this application.

[0019] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0020] 1. By obtaining the transmission performance scores for each current wireless signal transmission scheme, the transmission quality and efficiency of each signal type can be accurately evaluated. When the transmission performance score is lower than the preset score, by identifying multiple environmental influencing factors, a deeper understanding of how current environmental conditions affect the wireless signal transmission performance can be achieved. Based on multiple environmental influencing factors, a comprehensive environmental impact score is obtained, which quantifies the overall impact of the environment on the wireless communication system. By adjusting the current wireless signal communication scheme based on the transmission performance score and the comprehensive environmental impact score, an adjusted wireless signal transmission scheme is obtained, thereby ensuring that the wireless signal transmission achieves optimal performance in the current environment while effectively reducing interference to the wireless signal transmission. Finally, by controlling the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme, the signal transmission performance between the ground and the elevator can be effectively improved.

[0021] 2. By normalizing the detection data corresponding to multiple environmental impact factors, the impact of each environmental impact factor on wireless signal transmission can be effectively assessed. Then, based on the normalized values, a comprehensive environmental impact score is calculated, which can comprehensively assess the overall impact of all key environmental factors on wireless signal transmission. This provides comprehensive data support for the overall optimization and adjustment of wireless signal transmission schemes, making the calculation of the comprehensive environmental impact score more accurate.

[0022] 3. By calculating the first error rate between the transmission effect score and the preset transmission effect score based on the transmission effect score, the deviation between the current wireless signal transmission scheme and the predetermined performance standard can be accurately quantified. By calculating the second error rate between the comprehensive environmental impact score and the preset environmental impact score based on the comprehensive environmental impact score, the degree of impact of the current environment on the wireless signal transmission performance can be effectively assessed. When the first error rate and / or the second error rate are less than the preset error rate threshold, the current video signal transmission scheme, the current telephone voice signal transmission scheme, and the current control signal transmission scheme can be adjusted to optimize and improve the wireless signal transmission effect. This ensures that the wireless signal transmission achieves optimal performance in the current environment and effectively reduces interference to the wireless signal transmission. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating a wireless signal transmission control method for an elevator provided in an embodiment of this application;

[0024] Figure 2 This is a schematic diagram of the structure of a wireless signal transmission control system for an elevator provided in an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0026] Explanation of reference numerals in the attached drawings: 1. Acquisition module; 2. Processing module; 3. Control module; 300. Electronic device; 301. Processor; 302. Communication bus; 303. User interface; 304. Network interface; 305. Memory. Detailed Implementation

[0027] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0028] In the description of the embodiments in this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a concrete manner.

[0029] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0030] This application provides a wireless signal transmission control method for an elevator, applied in a server. (Refer to...) Figure 1 This document illustrates a flowchart of a wireless signal transmission control method for an elevator according to an embodiment of this application. The method includes steps S1-S5, as follows:

[0031] Step S1: Obtain the transmission performance score corresponding to each current wireless signal transmission scheme.

[0032] Specifically, in this technical solution, the current wireless signal transmission scheme includes the current video signal transmission scheme, the current telephone voice signal transmission scheme, and the current control signal transmission scheme.

[0033] Before obtaining the transmission performance scores for each current wireless signal transmission scheme, it is first necessary to evaluate the transmission quality of various types of signals.

[0034] For video signals, the transmission quality needs to be evaluated by considering factors such as resolution, frame rate, latency, and frame drop rate. For example, the magnitude of latency and frame drop rate affects the smoothness and reliability of the video.

[0035] For telephone voice signals, the transmission quality needs to be evaluated by considering metrics such as signal-to-noise ratio (SNR), latency, and packet loss rate. For example, the SNR directly affects the clarity of the call, while latency and packet loss rate affect the smoothness and reliability of the call.

[0036] For control signals, the transmission quality needs to be evaluated by considering indicators such as real-time performance, reliability, and accuracy.

[0037] After evaluating the transmission quality of various signals, it is necessary to calculate the corresponding transmission performance score based on the evaluation results. The following embodiments will describe in detail the specific steps for calculating the transmission performance score.

[0038] In one possible implementation, prior to step S1, the method further includes calculating a transmission performance score.

[0039] In one possible implementation, calculating the transmission performance score specifically includes the following steps:

[0040] Determine multiple first wireless signal transmission indicators corresponding to the current video signal transmission scheme, and obtain multiple first wireless signal transmission data based on the multiple first wireless signal transmission indicators.

[0041] Specifically, in this technical solution, for wireless signal transmission, especially video signal transmission, several key performance indicators directly affect transmission quality. These indicators include, but are not limited to, signal strength, bandwidth utilization, latency, frame drop rate, and signal stability. Determining and analyzing these indicators is crucial for evaluating the effectiveness of current video signal transmission solutions.

[0042] Next, the specific implementation steps involve obtaining multiple sets of initial wireless signal transmission data. This requires the use of specialized monitoring tools and analysis software to monitor the video signal transmission in real time. For example, network analyzers can be used to measure signal strength and bandwidth utilization, latency testing tools can be used to measure signal transmission time delay, and packet analysis tools can be used to monitor frame drop rate and signal stability. The data collected through these tools will provide quantified metrics for each indicator.

[0043] A first transmission score is obtained based on multiple first wireless signal transmission data.

[0044] Specifically, in this technical solution, the first step involves comprehensively analyzing and processing the data collected in the aforementioned steps regarding the first wireless signal transmission indicators, such as signal strength, bandwidth utilization, latency, frame drop rate, and signal stability. These indicators are typically quantified values ​​that can be directly used to calculate scores. The score calculation requires a standardized method; for example, different weights can be assigned to each indicator based on its importance in the overall video transmission quality, and then a weighted average is calculated based on these weights for the actual measured values ​​of each indicator. This weighting method not only ensures the accuracy of the score but also reflects the actual impact of each indicator on the video signal transmission quality.

[0045] Determine multiple second wireless signal transmission indicators corresponding to the current telephone voice signal transmission scheme, and obtain multiple second wireless signal transmission data based on the multiple second wireless signal transmission indicators.

[0046] Specifically, in this technical solution, this step involves accurately quantifying the transmission characteristics of telephone voice signals in order to objectively evaluate their performance. This includes, but is not limited to, collecting data on key performance indicators of the voice signal such as signal-to-noise ratio, latency, packet loss rate, and clarity. Precise measurement of these indicators can be achieved through various communication testing equipment and analysis software, which can monitor the quality of the voice signal in real time and provide quantitative data.

[0047] A second transmission score is obtained based on multiple second wireless signal transmission data.

[0048] Specifically, this technical solution first calculates and evaluates metrics such as latency and packet loss rate. This is achieved using various communication performance analysis tools to provide accurate measurements. Next, these metrics are converted into scores. This is done by setting performance thresholds for each metric and calculating a second transmission score based on the actual measured values' performance relative to these thresholds. For example, latency below a certain preset value results in a higher score, while high latency leads to a lower score.

[0049] Determine multiple third wireless signal transmission indicators corresponding to the current control signal transmission scheme, and obtain multiple third wireless signal transmission data based on these multiple third wireless signal transmission indicators.

[0050] Specifically, in this technical solution, control signals differ from video or audio signals. They typically require extremely high reliability and extremely low latency to ensure the accurate transmission of real-time control commands. Therefore, determining key performance indicators such as signal stability, response time, and packet loss rate, and evaluating the current control signal transmission scheme accordingly, is crucial for maintaining the normal operation of the entire system.

[0051] Next, the specific implementation steps involve obtaining multiple third-party wireless signal transmission data. Specialized monitoring tools and software are needed to monitor the transmission quality of the control signals in real time. These include using a network analyzer to assess signal stability, using latency testing instruments to measure the response time of the control signals, and using packet capture tools to monitor packet loss. These tools not only provide real-time data for various indicators but also accurately measure the performance of the control signal transmission.

[0052] A third transmission score is obtained based on multiple third-party wireless signal transmission data.

[0053] Specifically, this technical solution first quantifies key performance indicators such as signal stability, response time, and packet loss rate. This is achieved by using advanced data processing and analysis techniques, such as statistical analysis or machine learning algorithms, to extract meaningful information from the collected data. Each performance indicator is assigned a different weight based on its importance in control signal transmission, and a comprehensive third transmission score is calculated accordingly.

[0054] Based on the first transmission score, the second transmission score, and the third transmission score, a transmission performance score is calculated.

[0055] Specifically, in this technical solution, the performance of the entire wireless signal communication system is comprehensively evaluated by calculating a transmission effect score, including the transmission effects of video signals, telephone voice signals, and control signals.

[0056] In one possible implementation, a transmission performance score is calculated based on a first transmission score, a second transmission score, and a third transmission score, specifically including the following steps:

[0057] The transmission performance score is calculated using the following formula:

[0058] Y = αy1 + βy2 + γy3;

[0059] Where Y is the transmission performance score, y1 is the first transmission score, y2 is the second transmission score, y3 is the third transmission score, α is the first influence weight, β is the second influence weight, and γ is the third influence weight.

[0060] Specifically, in this technical solution, α + β + γ = 1. The values ​​of the first influence weight, the second influence weight, and the third influence weight will be set based on the specific requirements and performance objectives of the system.

[0061] Step S2: When the transmission effect score is less than the preset transmission effect score, determine multiple environmental influencing factors.

[0062] Specifically, in this technical solution, when the transmission performance score is lower than a preset value, it indicates the presence of unfavorable environmental conditions that may interfere with or weaken the transmission of wireless signals to varying degrees. Therefore, it is necessary to identify these environmental factors to understand the reasons for poor transmission performance. These environmental factors include temperature, humidity, electromagnetic interference, wind force, and obstacle density.

[0063] Step S3: Obtain a comprehensive environmental impact score based on multiple environmental impact factors.

[0064] Specifically, in this technical solution, the server will comprehensively evaluate multiple environmental impact factors such as temperature, humidity, electromagnetic interference, wind force, and obstacle density to obtain a comprehensive environmental impact score.

[0065] In one possible implementation, step S3 specifically includes the following steps:

[0066] Acquire multiple temperature detection data, multiple humidity detection data, multiple electromagnetic interference detection data, multiple wind force detection data, and multiple obstacle densities within a preset time period.

[0067] Specifically, this technical solution first uses various sensors and monitoring devices to measure temperature, humidity, electromagnetic field strength, wind speed, and the density of potential physical obstacles in the environment. The collection of this data should cover the entire operational range of the transmission system to ensure a comprehensive assessment of the environmental impact.

[0068] For temperature, multiple temperature data points can be measured within a preset time period using a temperature sensor; for humidity, multiple humidity data points can be measured within a preset time period using a humidity sensor; for electromagnetic interference, multiple electromagnetic interference data points can be measured within a preset time period using an electromagnetic field strength measuring device; for wind, multiple wind force data points can be measured within a preset time period using devices such as anemometers; and for obstacle density, obstacle density data, including the number, size, and distribution of obstacles, can be collected within a preset time period using detection devices such as laser scanners and cameras.

[0069] The server will then acquire multiple temperature detection data, multiple humidity detection data, multiple electromagnetic interference detection data, multiple wind force detection data, and multiple obstacle density data within a preset time period. The preset time period is preferably the 30 minutes preceding the current time.

[0070] Multiple temperature measurement data are normalized to obtain normalized temperature values.

[0071] Specifically, in this technical solution, since the elevator's height changes during use, temperature measurement data from different locations may vary. For example, differences in height and sunlight conditions can affect the accurate assessment of temperature impact. Normalization transforms this data to a common standard scale, ensuring comparability and consistency between data. The server performs statistical analysis on the collected temperature data, identifying the data range, including the highest and lowest temperatures. Then, a normalization formula is applied to convert each temperature value into a value between 0 and 1. Normalized temperature value = (Actual temperature value - Lowest temperature) / (Highest temperature - Lowest temperature). Normalization is then applied to multiple humidity measurement data to obtain normalized humidity values.

[0072] Specifically, in this technical solution, because the elevator's height changes during use, humidity measurement data from different locations may vary, potentially affecting the accurate assessment of humidity impact. Normalization transforms this data to a common standard scale, ensuring comparability and consistency between data points. The server performs statistical analysis on the collected humidity data, identifying the data range, including the highest and lowest humidity levels. Then, a normalization formula is applied to convert each humidity value into a value between 0 and 1. Normalized humidity value = (Actual humidity value - Lowest humidity) / (Highest humidity - Lowest humidity).

[0073] Multiple electromagnetic interference detection data are normalized to obtain normalized electromagnetic interference values.

[0074] Specifically, in this technical solution, due to changes in height during elevator operation and the influence of other electronic equipment and power lines, electromagnetic interference (EMI) detection data may differ at different locations. These differences may affect the accurate assessment of EMI impact. Normalization transforms this data to a common standard scale, ensuring comparability and consistency between data. The server performs statistical analysis on the collected EMI data, identifying the data range, including the highest and lowest EMI values. Then, a normalization formula is applied to convert each EMI value into a value between 0 and 1. Normalized EMI value = (Actual EMI value - Lowest EMI value) / (Highest EMI value - Lowest EMI value).

[0075] Multiple wind force detection data are normalized to obtain normalized wind force values.

[0076] Specifically, in this technical solution, because the elevator's height changes during use, wind speed data from different locations may vary. Factors such as different heights and open spaces can affect the accurate assessment of wind impact. Normalization transforms this data to a common standard scale, ensuring comparability and consistency. The server performs statistical analysis on the collected wind data, identifying the data range, including the highest and lowest wind speed values. Then, a normalization formula is applied to convert each wind speed value into a value between 0 and 1. Normalized wind speed value = (Actual wind speed value - Lowest wind speed value) / (Highest wind speed value - Lowest wind speed value).

[0077] The densities of multiple obstacles are normalized to obtain normalized density values.

[0078] Specifically, in this technical solution, because the elevator's height changes during use, obstacle density detection data may differ at different locations. For example, the obstacle environment varies at different heights, and these differences may affect the accurate assessment of the impact on obstacle density. Normalization transforms this data to a common standard scale, ensuring comparability and consistency between data. The server performs statistical analysis on the collected obstacle density data, identifying the data range, including the highest and lowest obstacle density values. Then, a normalization formula is applied to convert each obstacle density value into a value between 0 and 1. Normalized obstacle density value = (Actual obstacle density value - Lowest obstacle density value) / (Highest obstacle density value - Lowest obstacle density value).

[0079] The comprehensive environmental impact score is calculated based on normalized temperature, normalized humidity, normalized electromagnetic interference, normalized wind speed, and normalized density values.

[0080] Specifically, in this technical solution, the server will calculate the comprehensive environmental impact score based on normalized temperature, normalized humidity, normalized electromagnetic interference, normalized wind speed, and normalized density values.

[0081] In one possible implementation, a comprehensive environmental impact score is calculated based on normalized temperature, normalized humidity, normalized electromagnetic interference, normalized wind speed, and normalized density values, specifically including the following steps:

[0082] The comprehensive environmental impact score is calculated using the following formula:

[0083]

[0084] Where X is the comprehensive environmental impact score, T is the normalized humidity value, H is the normalized electromagnetic interference value, E is the normalized electromagnetic interference value, W is the normalized wind speed value, O is the normalized density value, a is the first weighting factor, b is the second weighting factor, c is the third weighting factor, d is the fourth weighting factor, and w is the fifth weighting factor.

[0085] Specifically, in this technical solution, the transmission performance of wireless signals is affected not only by a single environmental factor but also by the combined effect of multiple factors. For example, high temperature and high humidity may jointly exacerbate signal attenuation, while increased electromagnetic interference and obstacle density may further reduce signal transmission efficiency. Therefore, by comprehensively considering the influence of these factors, the impact of the entire environment on wireless signal transmission can be assessed more accurately.

[0086] More specifically, the alun(1+T) part represents the effect of temperature on the wireless signal. Using the natural logarithm ln(1+T) on the temperature data is to simulate the nonlinear characteristics of the effect of temperature changes on the wireless signal. Since the effect of temperature on the wireless signal may increase significantly after a certain threshold, using a logarithmic function helps smooth out the effects of extreme values.

[0087] This section discusses the impact of humidity on wireless signals. It uses the square root function. This reflects the increasing trend of the impact of humidity changes on the signal, but the rate of increase in this impact slows down as humidity increases. It indicates that in high-humidity environments, the additional impact of each unit increase in humidity on the wireless signal gradually decreases.

[0088] ce -E This section represents the impact of electromagnetic interference on wireless signals. The exponential function e -E It is used to describe the negative impact of electromagnetic interference, that is, as electromagnetic interference increases, its interference effect on wireless signals increases exponentially.

[0089] dW 2 This section illustrates the impact of wind on wireless signals. The effect of wind is particularly significant for outdoor communications. Therefore, a square function W is used... 2 This reflects how the impact of wind on wireless signals increases dramatically with increasing wind speed.

[0090] The wsin(O) part represents the effect of obstacle density on the wireless signal. The sinusoidal function sin(O) is used to reflect the periodic or nonlinear effect of obstacles on the signal; for example, the signal may be more significantly affected under certain obstacle densities.

[0091] It should be noted that the values ​​of the first, second, third, fourth, and fifth weighting factors will be set based on the specific requirements and performance goals of the system.

[0092] Step S4: Based on the transmission effect score and the comprehensive environmental impact score, adjust the current wireless signal communication scheme to obtain the adjusted wireless signal transmission scheme.

[0093] Specifically, in this technical solution, the server will comprehensively consider the transmission effect score and the comprehensive environmental impact score, and adjust the current wireless signal communication scheme to obtain an adjusted wireless signal transmission scheme.

[0094] In one possible implementation, step S4 specifically includes the following steps:

[0095] Based on the transmission performance score, calculate the first error rate between the transmission performance score and the preset transmission performance score.

[0096] Specifically, in this technical solution, by calculating the error rate between the current transmission effect and the preset standard, it is possible to quickly determine whether the actual performance of the signal transmission meets expectations, thereby determining whether further optimization or adjustment is needed. The first error rate = |(Current transmission effect score - Preset transmission effect score) / Preset transmission effect score| × 100%.

[0097] Based on the comprehensive environmental impact score, the second error rate between the comprehensive environmental impact score and the preset environmental impact score is calculated.

[0098] Specifically, in this technical solution, by calculating the second error rate, the actual impact of environmental conditions on transmission performance can be quantified, and it can be determined whether environmental adaptation adjustments to the signal transmission are necessary. Second error rate = |(Comprehensive environmental impact score - Preset environmental impact score) / Preset environmental impact score| × 100%.

[0099] When the first error rate and / or the second error rate are less than the preset error rate threshold, the current video signal transmission scheme is adjusted to obtain an adjusted video signal transmission scheme; the current telephone voice signal transmission scheme is adjusted to obtain an adjusted telephone voice signal transmission scheme; and the current control signal transmission scheme is adjusted to obtain an adjusted control signal transmission scheme.

[0100] Specifically, in this technical solution, the first step is to determine whether the current transmission scheme needs adjustment based on the first and second error rates calculated in the preceding steps. If either error rate exceeds a preset threshold, the direction and scope of adjustment need to be determined based on the specific circumstances of these scores.

[0101] In more detail, when video quality is low or high latency exists, it's necessary to increase bandwidth allocation; optimize or replace video compression coding techniques, using more efficient coding algorithms, such as H.265 instead of H.264. If latency is the primary issue, low-latency technologies and protocols should be used, and data buffering reduced to improve network processing capacity and speed. When video signal transmission is unstable, repeaters and amplifiers need to be added or optimized to increase signal coverage. This allows for adjustments to the current video signal transmission scheme, resulting in an optimized video signal transmission solution.

[0102] When voice is unclear or packet loss is high, the audio compression algorithm is adjusted to find a better balance between sound quality and bandwidth requirements. If packet loss is high, stronger error correction and retransmission mechanisms are implemented, and network configuration is optimized to reduce network congestion and ensure voice data packets are prioritized. When there is delay in the telephone voice signal, network paths and switching are minimized to reduce processing time in routers or switches. More efficient transmission protocols, such as VoIP optimization protocols, are used. This process adjusts the current telephone voice signal transmission scheme, resulting in an optimized telephone voice signal transmission scheme.

[0103] When control signals experience delays or loss, a higher-priority network channel is used for real-time control signals to ensure rapid transmission. Signal reliability is enhanced through error correction coding and fast retransmission strategies to reduce packet loss and errors. When control signal interference exists, a more interference-resistant frequency band, such as 5GHz instead of 2.4GHz, is used. More robust modulation techniques, such as OFDM, are employed to improve signal immunity to interference. This adjustment to the current control signal transmission scheme results in an optimized control signal transmission scheme.

[0104] Step S5: Control the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme.

[0105] Specifically, in this technical solution, adjusting the wireless signal transmission scheme involves software configuration updates, network parameter adjustments, and physical equipment updates. For software configuration updates and network parameter adjustments, the server can directly perform real-time updates and adjustments. When new physical equipment needs to be installed, the server sends the adjustment method and the name of the equipment to be installed to the ground control terminal to notify management personnel to update the physical equipment in a timely manner, thereby optimizing the elevator's wireless signal transmission.

[0106] Reference Figure 2 The diagram shows a structural schematic of a wireless signal transmission control system for an elevator provided in an embodiment of this application. The system includes an acquisition module 1, a processing module 2, and a control module 3.

[0107] The acquisition module 1 is used to acquire the transmission effect score corresponding to each current wireless signal transmission scheme; the processing module 2 is used to determine multiple environmental influencing factors when the transmission effect score is less than the preset transmission effect score; the processing module 2 is also used to obtain a comprehensive environmental impact score based on multiple environmental influencing factors; the processing module 2 is also used to adjust the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score to obtain an adjusted wireless signal transmission scheme; the control module 3 is used to control the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme.

[0108] In one possible implementation, the processing module 2 is also used to calculate the transmission effect score.

[0109] In one possible implementation, processing module 2 is further configured to determine multiple first wireless signal transmission indicators corresponding to the current video signal transmission scheme, and obtain multiple first wireless signal transmission data based on the multiple first wireless signal transmission indicators; processing module 2 is further configured to obtain a first transmission score based on the multiple first wireless signal transmission data; processing module 2 is further configured to determine multiple second wireless signal transmission indicators corresponding to the current telephone voice signal transmission scheme, and obtain multiple second wireless signal transmission data based on the multiple second wireless signal transmission indicators; processing module 2 is further configured to obtain a second transmission score based on the multiple second wireless signal transmission data; processing module 2 is further configured to determine multiple third wireless signal transmission indicators corresponding to the current control signal transmission scheme, and obtain multiple third wireless signal transmission data based on the multiple third wireless signal transmission indicators; processing module 2 is further configured to obtain a third transmission score based on the multiple third wireless signal transmission data; and processing module 2 is further configured to calculate a transmission effect score based on the first transmission score, the second transmission score, and the third transmission score.

[0110] In one possible implementation, the processing module 2 is further configured to calculate the transmission effect score using the following formula: Y = αy1 + βy2 + γy3; where Y is the transmission effect score, y1 is the first transmission score, y2 is the second transmission score, y3 is the third transmission score, α is the first influence weight, β is the second influence weight, and γ is the third influence weight.

[0111] In one possible implementation, the acquisition module 1 is further configured to acquire multiple temperature detection data, multiple humidity detection data, multiple electromagnetic interference detection data, multiple wind force detection data, and multiple obstacle densities within a preset time period; the processing module 2 is further configured to normalize the multiple temperature detection data to obtain a normalized temperature value; the processing module 2 is further configured to normalize the multiple humidity detection data to obtain a normalized humidity value; the processing module 2 is further configured to normalize the multiple electromagnetic interference detection data to obtain a normalized electromagnetic interference value; the processing module 2 is further configured to normalize the multiple wind force detection data to obtain a normalized wind force value; the processing module 2 is further configured to normalize the multiple obstacle densities to obtain a normalized density value; the processing module 2 is further configured to calculate a comprehensive environmental impact score based on the normalized temperature value, normalized humidity value, normalized electromagnetic interference value, normalized wind force value, and normalized density value.

[0112] In one possible implementation, processing module 2 is further configured to calculate the comprehensive environmental impact score using the following formula:

[0113]

[0114] Where X is the comprehensive environmental impact score, T is the normalized humidity value, H is the normalized electromagnetic interference value, E is the normalized electromagnetic interference value, W is the normalized wind speed value, O is the normalized density value, a is the first weighting factor, b is the second weighting factor, c is the third weighting factor, d is the fourth weighting factor, and e is the fifth weighting factor.

[0115] In one possible implementation, the processing module 2 is further configured to calculate a first error rate between the transmission effect score and a preset transmission effect score based on the transmission effect score; the processing module 2 is further configured to calculate a second error rate between the comprehensive environmental impact score and a preset environmental impact score based on the comprehensive environmental impact score; the processing module 2 is further configured to adjust the current video signal transmission scheme to obtain an adjusted video signal transmission scheme when the first error rate and / or the second error rate are less than a preset error rate threshold; adjust the current telephone voice signal transmission scheme to obtain an adjusted telephone voice signal transmission scheme; and adjust the current control signal transmission scheme to obtain an adjusted control signal transmission scheme.

[0116] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0117] This application also discloses an electronic device. (See reference...) Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0118] The communication bus 302 is used to enable communication between these components.

[0119] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0120] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0121] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 305, and by calling data stored in memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 301.

[0122] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which is a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and an application program.

[0123] exist Figure 3 In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and to acquire user input data; while the processor 301 can be used to call an application stored in the memory 305. When executed by one or more processors 301, the electronic device 300 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0124] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0125] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0126] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0127] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0128] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0129] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0130] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. An elevator wireless signal transmission control method characterized by, The method includes: Obtain the transmission performance score for each current wireless signal transmission scheme; When the transmission performance score is less than the preset transmission performance score, multiple environmental influencing factors are determined. Based on the aforementioned environmental impact factors, a comprehensive environmental impact score is obtained; Based on the transmission effect score and the comprehensive environmental impact score, the current wireless signal communication scheme is adjusted to obtain an adjusted wireless signal transmission scheme. Based on the aforementioned adjustment of the wireless signal transmission scheme, the wireless signal transmission of the elevator is controlled.

2. The method of claim 1, wherein, The current wireless signal transmission scheme includes the current video signal transmission scheme, the current telephone voice signal transmission scheme, and the current control signal transmission scheme; Before obtaining the transmission performance score corresponding to each current wireless signal transmission scheme, the method further includes: calculating the transmission performance score.

3. The method of claim 2, wherein, The calculation of the transmission performance score specifically includes: Determine multiple first wireless signal transmission indicators corresponding to the current video signal transmission scheme, and obtain multiple first wireless signal transmission data based on the multiple first wireless signal transmission indicators; A first transmission score is obtained based on multiple transmission data from the first wireless signal; Determine multiple second wireless signal transmission indicators corresponding to the current telephone voice signal transmission scheme, and obtain multiple second wireless signal transmission data based on the multiple second wireless signal transmission indicators; A second transmission score is obtained based on multiple transmissions of the second wireless signal. Determine multiple third wireless signal transmission indicators corresponding to the current control signal transmission scheme, and obtain multiple third wireless signal transmission data based on the multiple third wireless signal transmission indicators; A third transmission score is obtained based on multiple third wireless signal transmission data. The transmission performance score is calculated based on the first transmission score, the second transmission score, and the third transmission score.

4. The method according to claim 3, characterized in that, The calculation of the transmission performance score based on the first transmission score, the second transmission score, and the third transmission score specifically includes: The transmission performance score is calculated using the following formula: Y = αy1 + βy2 + γy3; Wherein, Y is the transmission effect score, y1 is the first transmission score, y2 is the second transmission score, y3 is the third transmission score, α is the first influence weight, β is the second influence weight, and γ is the third influence weight.

5. The method of claim 1, wherein, The environmental impact factors include temperature, humidity, electromagnetic interference, wind force, and obstacle density; the comprehensive environmental impact score obtained based on multiple environmental impact factors specifically includes: Acquire multiple temperature detection data, multiple humidity detection data, multiple electromagnetic interference detection data, multiple wind force detection data, and multiple obstacle densities within a preset time period; The multiple temperature detection data are normalized to obtain normalized temperature values; The humidity detection data are normalized to obtain normalized humidity values; The electromagnetic interference detection data are normalized to obtain normalized electromagnetic interference values. The wind force detection data from multiple sources are normalized to obtain normalized wind force values. The densities of the multiple obstacles are normalized to obtain normalized density values; The comprehensive environmental impact score is calculated based on the normalized temperature value, the normalized humidity value, the normalized electromagnetic interference value, the normalized wind speed value, and the normalized density value.

6. The method of claim 5, wherein, The comprehensive environmental impact score is calculated based on the normalized temperature value, the normalized humidity value, the normalized electromagnetic interference value, the normalized wind speed value, and the normalized density value, specifically including: The comprehensive environmental impact score is calculated using the following formula: Wherein, X is the comprehensive environmental impact score, T is the normalized humidity value, H is the normalized electromagnetic interference value, E is the normalized electromagnetic interference value, W is the normalized wind speed value, O is the normalized density value, a is the first weighting factor, b is the second weighting factor, c is the third weighting factor, d is the fourth weighting factor, and e is the fifth weighting factor.

7. The method of claim 2, wherein, The adjustment of the wireless signal transmission scheme includes adjusting the video signal transmission scheme, adjusting the telephone voice signal transmission scheme, and adjusting the control signal transmission scheme; the adjustment of the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score to obtain the adjusted wireless signal transmission scheme specifically includes: Based on the transmission performance score, calculate the first error rate between the transmission performance score and the preset transmission performance score; Based on the comprehensive environmental impact score, a second error rate between the comprehensive environmental impact score and the preset environmental impact score is calculated; when the first error rate and / or the second error rate is less than the preset error rate threshold, the current video signal transmission scheme is adjusted to obtain the adjusted video signal transmission scheme; the current telephone voice signal transmission scheme is adjusted to obtain the adjusted telephone voice signal transmission scheme; and the current control signal transmission scheme is adjusted to obtain the adjusted control signal transmission scheme.

8. An elevator wireless signal transmission control system characterized by comprising: The system includes an acquisition module, a processing module, and a control module; The acquisition module is used to acquire the transmission effect score corresponding to each current wireless signal transmission scheme; The processing module is used to determine multiple environmental influencing factors when the transmission effect score is less than a preset transmission effect score; the processing module is also used to obtain a comprehensive environmental impact score based on the multiple environmental influencing factors. The processing module is also used to adjust the current wireless signal communication scheme based on the transmission effect score and the comprehensive environmental impact score, so as to obtain an adjusted wireless signal transmission scheme. The control module is used to control the wireless signal transmission of the elevator based on the adjusted wireless signal transmission scheme.

9. An electronic device, comprising: The device includes a processor (301), a memory (305), a user interface (303), and a network interface (304). The memory (305) is used to store instructions. The user interface (303) and the network interface (304) are used to communicate with other devices. The processor (301) is used to execute the instructions stored in the memory (305) to cause the electronic device (300) to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1-7.

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