Single-ladder single-building network bridging communication guarantee method and system

Abstract

The invention provides a single-elevator single-building network bridging communication guarantee method and system, and relates to the technical field of elevator Internet of Things, and the method comprises the steps: evaluating a shaft network condition based on shaft network strength and a shaft environment to obtain an evaluation result, the shaft network strength is obtained by testing 4G / 5G signals in a shaft, and the shaft environment is obtained by testing 4G / 5G signals in the shaft; the hoistway environment is obtained by analyzing the internal structure of the hoistway; performing demand judgment based on the evaluation result to obtain a comprehensive score, wherein the demand judgment is based on analysis and comparison between the evaluation result and a preset standard; and selecting a corresponding deployment scheme based on the comprehensive score.

Description

Technical Field

[0001] This application belongs to the technical field of elevator Internet of Things, and specifically relates to a method for ensuring single-elevator single-building network bridging communication. Background Art

[0002] With the rapid development of Internet of Things (IoT) technology, elevator systems are gradually integrated into intelligent building management systems and have become an important part of improving building automation levels and user experiences. Within a single building, to ensure the stable operation of the elevator IoT system, the reliability of network communication is crucial. Existing elevator IoT solutions typically rely on traditional wired networks or simple wireless deployment methods. However, these methods have many limitations: on the one hand, wired network cabling is complex and costly, especially when retrofitting in old buildings, there are many inconveniences; on the other hand, traditional wireless deployments often ignore the complex physical environment characteristics inside the hoistway (such as metal wall reflections, shielding effects) and possible radio interference sources, resulting in problems such as unstable signals and incomplete coverage. In addition, existing technologies have not fully considered flexible signal transmission strategies under different network bridging conditions, making it difficult to provide reliable communication guarantees in a poor network environment. Summary of the Invention

[0003] This application provides a method and system for ensuring single-elevator single-building network bridging communication to solve the problems of unstable signals and incomplete coverage in the elevator IoT system in terms of network deployment and communication stability due to ignoring the complex internal environment of the hoistway and radio interference in the prior art.

[0004] The technical solution adopted by this application is as follows: An embodiment of this application provides a method for ensuring single-elevator single-building network bridging communication, including: Evaluating the hoistway network condition based on the hoistway network strength and hoistway environment to obtain an evaluation result, where the hoistway network strength is obtained by testing the 4G / 5G signals in the hoistway, and the hoistway environment is obtained by analyzing the internal structure of the hoistway; Making a requirement judgment based on the evaluation result to obtain a comprehensive score, where the requirement judgment is based on an analysis and comparison of the evaluation result with a preset standard; Selecting a corresponding deployment plan based on the comprehensive score.

[0005] According to an embodiment of this application, the evaluating the hoistway network condition based on the hoistway network strength and hoistway environment to obtain an evaluation result is specifically: Placing the analyzer at different floors and positions for multi-point testing; Measure the network condition parameters in the shaft, including: 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters; Measure the environmental analysis parameters, including: analyze the internal structure of the shaft, label the factors affecting signal propagation, identify and record all potential radio interference sources inside and outside the shaft.

[0006] According to an embodiment of the present application, the requirement judgment is performed based on the evaluation result to obtain a comprehensive score, and the requirement judgment is based on the analysis and comparison of the evaluation result with a preset standard. Specifically: Assign different weights according to the importance of each parameter, compare and analyze the evaluation results with the preset standards one by one, identify the specific parameters that do not meet the standards, record their deviation degrees, and calculate the comprehensive score.

[0007] According to an embodiment of the present application, the assignment of different weights according to the importance of each parameter is specifically: Determine the weight ratio between the network condition parameters and the environmental analysis parameters; Determine the weights of the first subset of sub-parameters included in the network condition parameters and the weights of the second subset of sub-parameters included in the environmental analysis parameters; Based on the weight ratio, the weights of the first subset of sub-parameters, and the weights of the second subset of sub-parameters.

[0008] According to an embodiment of the present application, the selection of the corresponding deployment plan based on the comprehensive score is specifically: Calculate the comprehensive score through weighted average. The specific formula is: Comprehensive score = ∑(parameter score × weight); If the comprehensive score is not lower than the preset score, select the direct deployment plan; If the comprehensive score is lower than the preset score, select the indirect bridging plan.

[0009] A single-lift single-building network bridging communication guarantee system, including: An evaluation module that evaluates the shaft network condition based on the shaft network strength and the shaft environment to obtain an evaluation result. The shaft network strength is obtained by testing the 4G / 5G signal in the shaft, and the shaft environment is obtained by analyzing the internal structure of the shaft; A judgment module that performs requirement judgment based on the evaluation result to obtain a comprehensive score. The requirement judgment is based on the analysis and comparison of the evaluation result with a preset standard; A selection module that selects the corresponding deployment plan based on the comprehensive score.

[0010] According to an embodiment of the present application, the evaluation module is specifically: Place the analyzer on different floors and positions for multi-point testing; It is used to measure 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters in the hoistway; Analyze the internal structure of the hoistway, mark the factors affecting signal propagation, and identify and record all potential radio interference sources inside and outside the hoistway.

[0011] An electronic device includes a memory and a processor. The memory stores a computer program. It is characterized in that when the processor executes the computer program, the steps in the method are implemented.

[0012] A computer-readable storage medium stores a computer program thereon. It is characterized in that when the computer program is executed by a processor, the steps in the method are implemented.

[0013] A computer program product containing instructions, when it runs on a device, is characterized in that it causes the device to execute the steps in the method.

[0014] Due to the adoption of the above technical solution, the beneficial effects obtained by the present application are: This application solves the problems of network deployment limitations and unstable communication existing in the existing elevator Internet of Things solutions, and realizes a precise deployment strategy for complex hoistway environments. The method first uses a professional wireless signal analyzer to conduct multi-point tests at different floors and locations, comprehensively measuring key parameters such as 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter in the hoistway. Combining with a detailed analysis of the internal structure of the hoistway, factors affecting signal propagation are marked, all potential radio interference sources are identified and recorded to ensure the comprehensiveness and accuracy of the evaluation results. Subsequently, different weights are assigned according to the importance of each parameter, the actual test results are compared and analyzed with the preset standards, the specific parameters that do not meet the standards and their deviation degrees are identified, and a comprehensive score is calculated. This scoring system not only covers the technical performance evaluation, but also fully considers the influence of the internal structure and environmental characteristics of the hoistway, providing a solid basis for subsequent requirement judgment. Based on the comprehensive score, clear decision rules are formulated. When the score reaches or exceeds the set threshold, a direct deployment plan is selected, that is, a 4G router is installed on the car top and POE power supply is used to simplify the wiring; while when the score is lower than the threshold, an indirect bridging plan is adopted, using a 4G router and a high-performance CPE bridge device in the machine room to achieve effective signal transmission from the machine room to the bottom of the hoistway, and at the same time optimizing the antenna installation position to reduce reflection and shielding effects. In addition, spectrum analysis is introduced to avoid interference sources, an adaptive algorithm is developed to dynamically adjust communication parameters, a remote monitoring platform is deployed to monitor the network status in real time, a simulated fault scenario test system is designed to test the system response ability, and edge computing ability is integrated to improve the user experience. These measures jointly ensure the efficient and stable operation of the elevator Internet of Things system, significantly improve the building automation level and service quality, and also lay a foundation for future technology upgrades. Brief Description of the Drawings

[0015] The drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings: Figure 1 It is a schematic flow chart of a single elevator and single building network bridging communication guarantee method provided by an embodiment of the present application; Figure 2 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0016] Reference Signs: 810, processor; 820, communication interface; 830, memory; 840, communication bus. Detailed Embodiments

[0017] In order to more clearly explain the overall concept of the present application, the following will be described in detail by way of examples in combination with the drawings of the specification.

[0018] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, the present application may be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited by the specific embodiments disclosed below. It should be noted that, without conflict, the embodiments of the present application and the features in each embodiment may be combined with each other.

[0019] In the present application, unless otherwise clearly specified and limited, the first feature being "on" or "under" the second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0020] As Figure 1 shown, a single-ladder single-building network bridging communication guarantee method includes: Evaluating the well network condition based on the well network strength and the well environment to obtain an evaluation result, where the well network strength is obtained by testing the 4G / 5G signals in the well, and the well environment is obtained by analyzing the internal structure of the well.

[0021] Specifically, the well network strength refers to the quality and coverage of the 4G / 5G signals inside the well, which reflects the actual performance of wireless communication in the well and is one of the key factors determining whether a 4G router can be directly deployed.

[0022] Use professional wireless signal detection tools (such as wireless signal analyzers, spectrum analyzers) to conduct a detailed test on the 4G / 5G signals in the well.

[0023] Signal Strength (RSSI): Measures the power level of the received wireless signal, usually in decibels milliwatt (dBm). Signal-to-Noise Ratio (SNR): The ratio of signal power to background noise power, which affects signal clarity. Signal-to-Interference-plus-Noise Ratio (SINR): Considers the impact of interference sources and more comprehensively reflects signal quality. Bit Error Rate (BER): The proportion of error bits in the data transmitted per unit time, which directly affects data transmission accuracy. Throughput: The amount of data successfully transmitted per unit time, reflecting network performance. Latency: The time interval from when data is sent at the sending end to when it is received at the receiving end, affecting the real-time application experience. Jitter: The degree of variation in latency, affecting the stability of audio and video streams.

[0024] Evaluation Based on Shaft Network Strength Test Equipment Preparation, Select a Suitable Wireless Signal Analyzer: Professional tools such as QualiPoc, Metagear, etc. Spectrum Analyzer: Used to detect interference sources and their frequency ranges.

[0025] Multi-Point Testing and Data Analysis Test Location Selection: Key Locations: The top of the elevator car (car top), the bottom of the shaft, intermediate floors, and the machine room. Representative Test Points: Ensure coverage of all possible application scenarios (such as different heights, different device density areas).

[0026] Specific Parameter Measurement: RSSI (Received Signal Strength Indication): Use a wireless signal analyzer to record the RSSI value every 5 seconds. Set a threshold (e.g., -70 dBm), and when the RSSI is below this threshold, the system considers it has entered a weak signal area. SNR (Signal-to-Noise Ratio): Record the SNR value every 5 seconds. Set a passing line (e.g., ≥ 20 dB). SINR (Signal-to-Interference-plus-Noise Ratio): Record the SINR value every 5 seconds. Set a passing line (e.g., ≥ 15 dB). BER (Bit Error Rate): Calculate the BER by uploading and downloading large files. The ideal BER should be as low as possible (usually <10^-6). Throughput: Measure the downstream rate by uploading and downloading large files.

[0027] Set basic requirements (e.g., ≥ 10 Mbps).

[0028] Latency: Use the Ping command to measure latency. Set the ideal range (e.g., ≤ 100 ms). Jitter: Measure jitter using the Ping command. Set the ideal range (e.g., ≤ 30 ms).

[0029] Data Processing and Analysis: Heat Map Drawing: Generate a heat map of the signal strength distribution in the shaft according to the RSSI value. Time Series Analysis: Analyze the signal change trend at different times of the day. Data Processing Software: Use MATLAB or Python for data analysis.

[0030] Assessment Based on Shaft Environment 3D Modeling and Annotation, Tool Selection: Use AutoCAD or Revit for 3D modeling. Annotation of Fixed Devices: Mark the positions of all mechanical equipment, pipelines and other fixed devices in the model. Material Property Annotation: Annotate the material and thickness of the shaft wall.

[0031] Material Analysis, On-site Sampling: Take on-site samples of the shaft wall to determine its metal composition and thickness. Document Review: Review construction documents to obtain specific material information of the shaft wall.

[0032] Identification of Electromagnetic Interference Sources, Use of Spectrum Analyzer: Regularly use a spectrum analyzer to scan the working frequency bands inside and outside the shaft. Recording of Interference Sources: Record the frequency and intensity of each interference source and mark its position in the 3D model.

[0033] Prediction of Reflection Paths and Evaluation of Shielding Degree Application of Electromagnetic Simulation Software, Software Selection: Use CST Microwave Studio or HFSS for simulation. Input Model: Import the 3D model of the shaft and its material properties. Simulation Settings: Set different transmission powers and antenna positions to simulate the signal propagation path.

[0034] Prediction and Evaluation, Path Prediction: Predict the reflection path and shielding degree of the signal based on the simulation results. Blind Spot Identification: Mark the signal coverage blind spots and high interference areas. Adjustment Suggestions: Put forward optimization suggestions such as antenna layout and transmission power adjustment.

[0035] Signal Transmission Path Design and Optimization Path Planning, Path Selection Criteria: Prioritize high signal strength areas and low interference paths. Path Optimization: Use the Dijkstra algorithm or A* algorithm to find the best transmission path.

[0036] Implementation of Adaptive Algorithm Data Collection, Sensor Deployment: Install wireless signal analyzers and environmental sensors at key positions. Feature Extraction: Include real-time data such as RSSI, SNR, SINR, BER, temperature, humidity, etc.

[0037] Machine learning model training, model selection: Select GBDT (Gradient Boosting Decision Tree) as the initial model. Data partitioning: Divide the dataset into a 70% training set, a 15% validation set, and a 15% test set. Hyperparameter tuning: Use grid search or random search to optimize the model parameters. Cross-validation: Adopt K-fold cross-validation to evaluate the model performance.

[0038] Online learning mechanism, online update: Use an online learning framework (such as Apache Flink) to enable the model to continuously update its own parameters according to new data. Real-time adjustment strategy: When the system detects a weak signal area, automatically adjust the transmit power or switch the operating frequency band.

[0039] Real-time adjustment strategy Power control algorithm: Activation condition: When a weak signal area is detected (RSSI is lower than -70 dBm), activate the power control algorithm. Maximum allowable power evaluation: First, evaluate the maximum allowable transmit power in the current environment to ensure that it does not cause interference to other devices or violate regulatory restrictions. Gradual adjustment: Starting from the current transmit power, gradually increase the transmit power in small steps (such as 0.5 dB), while continuously monitoring the changes in RSSI and SINR. If a significant improvement in signal quality is found, continue to increase; otherwise, stop increasing and revert to the previous power setting.

[0040] Frequency switching protocol: Spectrum scanning: Regularly use a spectrum analyzer to scan the operating frequency bands inside and outside the shaft to identify the currently used frequencies and their occupancy. Interference detection: By analyzing the received signals, detect whether there are abnormally high noise levels or frequently occurring error codes as a basis for judging the degree of interference. Candidate frequency band list: Pre-establish a list containing multiple alternative frequency bands to ensure sufficient choices when switching is needed. Fast switching protocol: Design an efficient frequency switching protocol to complete the conversion from the old frequency band to the new frequency band in the shortest time and minimize service interruption time.

[0041] Performance monitoring and feedback Remote monitoring platform, deploy a remote monitoring platform: Real-time monitor the network status of each node, including indicators such as connection stability, latency, and packet loss rate. Automatic alarm mechanism: Once an abnormal situation is detected (such as a sudden deterioration of the signal, inability to return to normal for a long time, etc.), immediately issue an alarm to notify the maintenance personnel to take action.

[0042] User feedback collection, questionnaire survey or direct communication: Collect user feedback through questionnaire surveys or direct communication for subsequent system optimization. Historical data analysis: Use big data analysis tools to review the performance of the same frequency band over a past period of time to find regular interference patterns and make preventive preparations in advance.

[0043] Furthermore, electromagnetic simulation software can be used to simulate the signal propagation effects under different deployment scenarios, optimize the installation positions and angles of antennas, and reduce the impacts of reflection and shielding effects. Meanwhile, a spectrum analyzer can be introduced to detect the frequency bands used inside and outside the shaft, identify potential interference sources or spectrum conflicts, and take corresponding measures to avoid such interferences. In addition, multiple temporary test nodes can be set up, including installing small 4G / 5G routers and CPE bridge devices at representative positions inside the shaft to establish wireless links and verify the actual communication quality of direct deployment and indirect bridging solutions. By combining building drawings and on-site measurement data through wireless network planning software, the optimal signal coverage range can be predicted and the design solution can be adjusted. Finally, a remote monitoring platform can be deployed in the long term to monitor the network status in real time and automatically alarm abnormal situations, ensuring the stable operation of the system while collecting user feedback to continuously improve service quality and user experience, providing a solid guarantee for the efficient and stable operation of the elevator Internet of Things system.

[0044] Based on the evaluation results, a requirements judgment is made to obtain a comprehensive score, and the requirements judgment is based on an analysis and comparison of the evaluation results with preset criteria.

[0045] Specifically, requirements judgment based on evaluation results and calculation of comprehensive scores Set preset criteria Standard settings for network condition parameters: RSSI (Received Signal Strength Indicator): ≥ -70 dBm. SNR (Signal-to-Noise Ratio): ≥ 20 dB. SINR (Signal-to-Interference-plus-Noise Ratio): ≥ 15 dB. BER (Bit Error Rate): <10^-6. Throughput (Downlink rate): ≥ 10 Mbps. Latency: ≤ 100 ms. Jitter: ≤ 30 ms.

[0046] Standard settings for environmental analysis parameters: Metal wall reflection and shielding effects: Weak reflection / shielding effects are the ideal state. Physical obstacles: Almost no obstacles are the ideal state. Space limitations: Almost no limitations are the ideal state. Electromagnetic interference sources: Almost no interference sources are the ideal state. Environmental factors such as temperature and humidity: Ideal conditions are the best.

[0047] Data sorting and preliminary screening Data recording: Record the positions of all test points and their corresponding parameter values in a table. Heat map drawing: Use MATLAB or Python to generate a heat map of the signal strength distribution inside the shaft to visually display the signal changes at different positions and different times. Time series graph: Draw a graph of parameter fluctuations at different times of the day to help identify periodic interference sources.

[0048] Comparative analysis Compare parameters one by one Specific steps: Load the evaluation results: Extract the evaluation results of each test point from the database. Item-by-item comparison: Compare and analyze the actual test results one by one with the pre-set standards. If the RSSI value of a test point is -72 dBm, the score of this parameter is 60 points (according to the preset standard, the score range is lower than -70 dBm but higher than -80 dBm). If the SNR is 22dB, the score is 80 points (according to the preset standard, the score range is 20 dB to 25 dB). Identify parameters that do not meet the standards: For specific parameters that do not meet the standards, the differences need to be recorded in detail. For example, if the RSSI of a test point is lower than -70 dBm, it is marked as "RSSI insufficient" and the specific deviation value is recorded.

[0049] Environmental considerations Specific steps: Metal wall reflection and shielding effect: Evaluate the impact of the four walls of the shaft on signal propagation. If there is an obvious multipath effect or shielding phenomenon, the score will be low (such as 40 points). Physical obstacles: Identify mechanical equipment and other fixtures in the shaft, mark their locations, and consider how to avoid these obstacles. If there are multiple serious obstacles, the score will be low (such as 40 points). Space limitations: Evaluate the impact of the limited space in the shaft on equipment installation and wiring. If the space is extremely limited, the score will be low (such as 40 points). Electromagnetic interference source: Detect electromagnetic interference generated by electrical equipment or other wireless devices inside and outside the shaft. If there is a strong interference source, the score will be low (such as 40 points). Environmental factors such as temperature and humidity: Evaluate the impact of extreme temperature and humidity conditions on the performance of wireless devices. If the conditions are harsh, the score will be low (such as 40 points).

[0050] Comprehensive scoring system Weight distribution: Total weight of network status parameters: 60% RSSI: 25%, SNR: 18%, SINR: 12%, BER: 5%, Throughput: 4%, Latency: 3%, Jitter: 3% Total weight of environmental analysis parameters: 40% Metal wall reflection and shielding effect: 15%, physical obstacles: 10%, space restrictions: 7%, electromagnetic interference sources: 5%, environmental factors such as temperature and humidity: 3% Calculation formula: Comprehensive score = ∑ (parameter score × weight) For example, suppose the scores of various parameters of a test point are: Network condition parameter score: RSSI: 60 points (weight 25%), SNR: 80 points (weight 18%), SINR: 70 points (weight 12%), BER: 90 points (weight 5%), Throughput: 85 points (weight 4%), Latency: 95 points (weight 3%), Jitter: 85 points (weight 3%) Environmental analysis parameter score: Metal wall reflection and shielding effect: 80 points (weight 15%), Physical obstacles: 90 points (weight 10%), Space limitation: 85 points (weight 7%), Electromagnetic interference source: 85 points (weight 5%), Environmental factors such as temperature and humidity: 90 points (weight 3%) Then the comprehensive score is: Comprehensive score = (60×0.25 + 80×0.18 + 70×0.12 + 90×0.05 + 85×0.04 + 95×0.03 + 85×0.03) + (80×0.15 + 90×0.10 + 85×0.07 + 85×0.05 + 90×0.03) Comprehensive score = (15 + 14.4 + 8.4 + 4.5 + 3.4 + 2.85 + 2.55) + (12 + 9 + 5.95 + 4.25 + 2.7) Comprehensive score = 50.9 + 33.9 = 84.8 Decision rule Threshold setting: Comprehensive score ≥ 80 points: The network environment in the hoistway is suitable for directly deploying a 4G router. Comprehensive score < 80 points: There are some adverse conditions, and it is recommended to switch to an indirect bridging solution or other optimization measures.

[0051] Specific implementation steps: Direct deployment plan: Installation location selection: Select the car top as the best installation location for the 4G router to ensure it is in an open area and avoid signal reception being affected by obstacles. POE power supply configuration: Use Power over Ethernet (POE) technology to power the 4G router, simplify the power line layout, and improve the installation efficiency. Antenna optimization: Adjust the external antenna direction of the 4G router according to the specific situation of the hoistway to ensure the best signal coverage. Function test: Conduct a comprehensive function test to verify the communication quality and stability and ensure the normal operation of the system.

[0052] Indirect Bridging Solution: Deploy a 4G router in the machine room: Install a 4G router on the top of the building or in the machine room near the elevator control center to ensure good external signal reception conditions. Selection of bridge equipment: Select a high-performance CPE bridge device with strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the shaft. Wiring and fixing: Lay dedicated data transmission cables using the existing elevator trailing cable channel, and fix the CPE transmitter at a suitable position in the shaft, usually at a certain distance above the car and facing downwards for easy signal reception. At the same time, install the corresponding receiving device on the car top and connect it to the switch to be responsible for distributing signals for multiple elevators. Communication effect testing: Conduct a comprehensive test on the communication effect of the entire system to ensure no blind spots and stable and reliable signals.

[0053] Handling of Special Situations Situations Close to the Critical Value: Increase the number of additional tests: For situations where the score is close to 80 points, the number of additional tests can be increased to obtain more data to support the final decision. Review of key parameters: Even if most parameters meet the standards, if a certain key parameter (such as RSSI or metal wall reflection) is significantly insufficient, it should be treated with caution and further optimization or remedial measures may be required.

[0054] Long-Term Monitoring and Feedback Mechanism Remote Monitoring Platform: Deploy a remote monitoring platform to monitor the network status of each node in real time, automatically alarm abnormal situations, ensure the stable operation of the system while collecting user feedback, and continuously improve service quality and user experience. Dynamic adjustment strategy: Develop an adaptive algorithm to monitor the changes in the network environment in the shaft in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation, significantly improving the flexibility and robustness of the network and adapting to changing working conditions.

[0055] For example, determine the key parameters and their weights First, clarify the key parameters to be evaluated and assign weights according to their impact on network communication quality. These parameters are divided into two major categories: network condition parameters and environmental analysis parameters.

[0056] Network Condition Parameters (Total Weight 60%) Signal Strength (RSSI): 25%, which directly affects the signal coverage and reception quality and is one of the most important indicators. Signal-to-Noise Ratio (SNR): 18%, a high SNR means clearer signal transmission, reducing the bit error rate, which is crucial for communication quality. Signal-to-Interference-plus-Noise Ratio (SINR): 12%, taking into account interference factors, especially in complex environments, it can better reflect the actual communication effect. Bit Error Rate (BER): 5%, although important, it is usually closely related to SNR and SINR, so its weight is slightly lower. Throughput: 4%, which affects the data transmission rate and is very important for certain application scenarios. Latency: 3%, which is crucial for real-time applications (such as video surveillance and voice calls), but has less impact on general data transmission. Jitter: 3%, mainly affecting the quality of audio and video streams in real-time applications, with the lowest weight.

[0057] Environmental Analysis Parameters (total weight 40%) Reflection and shielding effect of metal walls: 15%, metal shaft walls can significantly affect signal propagation, leading to multipath effects and shielding problems. Physical obstacles: 10%, mechanical equipment and other fixed devices in the shaft may block or absorb wireless signals. Space limitation: 7%, the limited space in the shaft will affect the choice of equipment installation location and the difficulty of wiring. Electromagnetic interference sources: 5%, electrical equipment inside and outside the shaft may generate electromagnetic interference, reducing communication quality. Environmental factors such as temperature and humidity: 3%, extreme temperature and humidity conditions may indirectly affect the working state and performance of wireless devices.

[0058] Set the scoring criteria for each parameter Set a scoring criteria for each parameter to convert the actual measured value into a score. For example: Scoring criteria for network condition parameters RSSI: ≥ -60 dBm: 100 points -60 dBm to -70 dBm: 80 points -70 dBm to -80 dBm: 60 points < -80 dBm: 40 points SNR: ≥ 25 dB: 100 points 20 dB to 25 dB: 80 points 15 dB to 20 dB: 60 points < 15 dB: 40 points SINR: ≥ 20 dB: 100 points 15 dB to 20 dB: 80 points 10 dB to 15 dB: 60 minutes <10 dB: 40 minutes BER: <10^-6: 100 minutes 10^-6 to 10^-5: 80 minutes 10^-5 to 10^-4: 60 minutes 10^-4: 40 minutes Throughput: ≥ 20 Mbps: 100 minutes 10 Mbps to 20 Mbps: 80 minutes 5 Mbps to 10 Mbps: 60 minutes <5 Mbps: 40 minutes Latency: ≤ 50 ms: 100 minutes 50 ms to 100 ms: 80 minutes 100 ms to 150 ms: 60 minutes 150 ms: 40 minutes Jitter: ≤ 20 ms: 100 minutes 20 ms to 30 ms: 80 minutes 30 ms to 40 ms: 60 minutes 40 ms: 40 minutes Scoring Criteria for Environmental Analysis Parameters Metal Wall Reflection and Shielding Effect: Strong reflection / shielding effect is obvious: 40 points, medium reflection / shielding effect: 60 points, weak reflection / shielding effect: 80 points, almost no reflection / shielding effect: 100 points Physical Obstacles: Multiple severe obstacles: 40 points, few medium obstacles: 60 points, few minor obstacles: 80 points, almost no obstacles: 100 points.

[0059] Space Limitation: Extremely limited: 40 points, relatively limited: 60 points, moderately limited: 80 points, almost no limitation: 100 points

[0060] Electromagnetic Interference Sources: Strong interference sources exist: 40 points, medium interference sources exist: 60 points, weak interference sources exist: 80 points, almost no interference sources: 100 points

[0061] Environmental factors such as temperature and humidity: Extreme conditions: 40 points, Unfavorable conditions: 60 points, General conditions: 80 points, Ideal conditions: 100 points.

[0062] Calculate the scores of each parameter According to the on-site test results and environmental analysis results, convert the actual measured value of each parameter into the corresponding score. For example, if the RSSI at a certain test point is -72 dBm, the score of this parameter is 60 points; if the SNR is 22 dB, the score is 80 points, and so on. At the same time, for environmental analysis parameters, score according to the actual situation. For example, if the reflection and shielding effect of the metal wall is weak, the score is 80 points.

[0063] Calculate the comprehensive score using weighted average Use the weighted average formula to calculate the comprehensive score: Comprehensive score = ∑(parameter score × weight) Suppose the scores of each parameter at a certain test point are as follows: Scores of network condition parameters: RSSI: 60 points (weight 25%), SNR: 80 points (weight 18%), SINR: 70 points (weight 12%), BER: 90 points (weight 5%), Throughput: 85 points (weight 4%), Latency: 95 points (weight 3%), Jitter: 85 points (weight 3%) Scores of environmental analysis parameters: Reflection and shielding effect of metal wall: 80 points (weight 15%), Physical obstacles: 90 points (weight 10%), Space limitation: 85 points (weight 7%), Electromagnetic interference source: 85 points (weight 5%), Environmental factors such as temperature and humidity: 90 points (weight 3%) Calculate the comprehensive score as follows: Comprehensive score = (60×0.25 + 80×0.18 + 70×0.12 + 90×0.05 + 85×0.04 + 95×0.03 + 85×0.03) + (80×0.15 + 90×0.10 + 85×0.07 + 85×0.05 + 90×0.03) = (15 + 14.4 + 8.4 + 4.5 + 3.4 + 2.85 + 2.55) + (12 + 9 + 5.95 + 4.25 + 2.7) = 50.9 + 33.9 = 84.8 Decision rule Based on the comprehensive score, formulate clear decision rules: Comprehensive score ≥ 80 points: The network environment in the hoistway is suitable for directly deploying a 4G router. At this time, a 4G router can be directly installed on the car top and powered by POE to ensure simplicity and efficiency. At the same time, adjust the antenna angle and direction to optimize the signal coverage, and conduct a final functional test to verify the communication quality and stability.

[0064] Comprehensive score < 80 points: There are some unfavorable conditions. It is recommended to switch to an indirect bridging solution or take other optimization measures. At this time, a 4G router should be installed in the machine room, a high-performance CPE bridge device should be selected, a dedicated data transmission cable should be laid through the elevator trailing cable channel, and the CPE transmitter should be fixed at a suitable position in the hoistway, facing downwards for easy signal reception. A corresponding receiving device should be installed on the car top and connected to the switch, which is responsible for distributing multi-elevator signals and testing the communication effect of the entire system to ensure no blind spots and stable and reliable signals.

[0065] Handling of special situations: For edge cases (such as scores close to the critical value), additional test runs can be increased to obtain more data to support the final decision. In addition, even if most parameters meet the standards, if a certain key parameter (such as RSSI or metal wall reflection) is significantly insufficient, it should also be treated with caution and further optimization or remedial measures may be required.

[0066] Furthermore, various advanced technologies and methods can be introduced to enhance the accuracy and reliability of the assessment. First, use electromagnetic simulation software (such as CST Microwave Studio) to simulate the signal propagation effects under different deployment scenarios, optimize the installation positions and angles of antennas, reduce the impacts of reflection and shielding effects, detect potential problems in advance, and reduce on-site debugging costs. Second, implement spectrum analysis. By introducing a spectrum analyzer, detect the frequency bands used inside and outside the shaft, identify potential interference sources or spectrum conflicts, and take corresponding measures to avoid these interferences, thereby optimizing the wireless communication quality and ensuring the stable operation of the network. In addition, set up multiple temporary test nodes. Install small 4G / 5G routers and CPE bridge devices at representative positions in the shaft to establish a wireless link, verify the actual communication quality of the direct deployment and indirect bridging solutions, provide more empirical support for the final decision-making, and improve the reliability of the solution. To enhance network flexibility and robustness, develop an adaptive algorithm to continuously monitor the changes in the network environment in the shaft and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation. At the same time, deploy a remote monitoring platform to achieve real-time monitoring of the network status of each node, automatically alarm abnormal situations, collect user feedback, continuously improve the service quality and user experience, and provide valuable experience and data support for future optimization and upgrading through long-term data accumulation. Design and implement simulated fault scenario tests to verify the system's response capabilities and recovery mechanisms under extreme conditions, optimize the emergency response plan, and ensure reliable communication guarantee under any circumstances. Finally, considering the future technological development trends, integrate edge computing capabilities so that some data processing tasks can be completed locally, reducing latency and enhancing the user experience. As 5G networks become more popular, upgrade the existing equipment to support 5G communication protocols in a timely manner to enjoy faster and more stable data transmission services. Through these expansion works, the shaft network conditions can be evaluated more comprehensively and accurately, ensuring the efficient and stable operation of the elevator IoT system.

[0067] Select the corresponding deployment solution based on the comprehensive score.

[0068] Specifically, select the corresponding deployment solution based on the comprehensive score Set clear decision thresholds Determine the scoring criteria: Direct deployment solution: Comprehensive score ≥ 80 points. Indirect bridging solution: Comprehensive score < 80 points. Direct deployment solution (applicable to high-scoring situations) Installation position selection Specific steps: Select the car top as the installation location: Ensure it is in an open area to avoid signal reception being affected by obstacles. On-site inspection: Use 3D modeling tools (such as AutoCAD or Revit) to generate the internal structure diagram of the hoistway and mark the locations of all obstacles that may affect signal propagation. Optimize the layout: Adjust the optimal installation location of the 4G router according to the simulation results to ensure the maximum signal coverage.

[0069] POE Power Supply Configuration Specific steps: Select POE equipment: Choose a 4G router that supports Power over Ethernet (POE) technology to simplify the power line layout and improve installation efficiency. Wiring planning: Use the existing elevator trailing cable channel for wiring to reduce additional construction costs. Safety inspection: Ensure that the wiring complies with electrical safety standards to avoid short circuits or other safety hazards.

[0070] Antenna Optimization Specific steps: Antenna type selection: Select the appropriate antenna type (such as omnidirectional antenna or directional antenna) according to the hoistway environment. Angle adjustment: Use a wireless signal analyzer to monitor parameters such as RSSI and SNR in real time, and gradually adjust the angle and direction of the antenna to obtain the best signal coverage. Fixing device: Install a firm fixing device on the car top to ensure that the antenna does not shift due to vibration during operation.

[0071] Function Testing Specific steps: Upload and download large files: Test the actual communication quality by uploading and downloading large files, and record key parameters such as throughput, latency, and jitter. Ping command test: Use the Ping command to measure latency and packet loss rate to ensure network stability. Simulate fault scenarios: Design and implement simulated fault scenario tests to verify the system's response ability and recovery mechanism under extreme conditions.

[0072] Indirect Bridging Solution (for low score situations) Deploy a 4G router in the machine room Specific steps: Site selection and evaluation: Select the machine room on the top of the building or near the elevator control center as the installation location of the 4G router to ensure good external signal reception conditions. Environment preparation: Ensure that there is enough space and power supply in the machine room, and it is well ventilated to avoid equipment overheating. Installation and debugging: Install the 4G router according to the manufacturer's guidelines and conduct preliminary function tests to ensure the normal operation of the equipment.

[0073] Bridge Equipment Selection Specific steps: Equipment selection: Select a high-performance CPE bridge device with strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the computer room to the bottom of the hoistway. Compatibility test: Conduct a compatibility test on the selected device in a laboratory environment to ensure seamless docking with the existing network architecture. Performance verification: Verify the performance of the CPE bridge device in a complex environment through actual tests, including signal strength, transmission rate, and stability.

[0074] Wiring and fixing Specific steps: Wiring planning: Lay dedicated data transmission cables using the existing elevator trailing cable channel, and fix the CPE transmitter at a suitable position in the hoistway, usually at a certain distance above the car, facing downwards for easy signal reception. Fixing device: Select suitable fixing points in the hoistway to ensure that the cables and equipment will not loosen or be damaged due to vibration during operation. Protection measures: Provide appropriate protection measures for the cables and equipment, such as waterproofing, dustproofing, and anti-interference treatment, to ensure long-term stable operation.

[0075] Communication effect test Specific steps: Comprehensive test: Conduct a comprehensive test on the communication effect of the entire system to ensure no blind spots and stable and reliable signals. Data recording: Record key parameters such as RSSI, SNR, SINR, BER, Throughput, Latency, and Jitter at each test point. Problem troubleshooting: Timely troubleshoot and repair the discovered problems to ensure that the system meets the expected performance indicators.

[0076] Handling of special situations Situations close to the critical value: Increase the number of additional tests: For situations where the score is close to 80 points, the number of additional tests can be increased to obtain more data to support the final decision.

[0077] Review of key parameters: Even if most parameters meet the standards, but if a certain key parameter (such as RSSI or metal wall reflection) is significantly insufficient, it should be treated with caution and may require further optimization or remedial measures.

[0078] Example process Suppose the elevator hoistway of a commercial building has been comprehensively evaluated, and the comprehensive score is 84.52 points, close to but slightly higher than the set threshold of 80 points. Considering that there is still room for improvement in some key parameters (such as RSSI, SNR), the following further optimization measures are recommended: Setting up temporary test nodes: Select representative positions in the hoistway to install small 4G / 5G routers and CPE bridge devices, establish a wireless link, and verify the actual communication quality of the direct deployment and indirect bridging solutions.

[0079] Dynamic adjustment strategy: Develop an adaptive algorithm to monitor the changes in the network environment in the hoistway in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation to improve network flexibility and robustness.

[0080] Long-term monitoring and feedback mechanism: Deploy a remote monitoring platform to achieve real-time monitoring of the network status of each node, automatically alarm abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0081] Simulate fault scenarios: Design and implement simulation fault scenario tests to verify the system's response capabilities and recovery mechanisms under extreme conditions, optimize emergency plans, and ensure reliable communication guarantees in any situation.

[0082] Integration of edge computing capabilities: Considering the development trend of future technologies, integrate edge computing capabilities into the elevator Internet of Things system to enable some data processing tasks to be completed locally, reducing latency and enhancing the user experience.

[0083] For example, Example 1: High comprehensive score (≥ 80 points) Scenario description: The elevator hoistway of a newly built residential building has been comprehensively evaluated, and its network conditions and environmental analysis parameters all perform excellently. According to the set standards, the scores of each parameter are as follows: Signal strength (RSSI): 90 points, Signal-to-noise ratio (SNR): 95 points, Signal-to-interference-plus-noise ratio (SINR): 92 points, Bit error rate (BER): 100 points, Throughput: 88 points, Latency: 93 points, Jitter: 95 points, Metal wall reflection and shielding effect: 90 points, Physical obstacles: 100 points, Space limitation: 95 points, Electromagnetic interference source: 98 points, Environmental factors such as temperature and humidity: 96 points Comprehensive score calculation: \begin{align*} \text{Comprehensive score}&= (90 \times 0.25 + 95 \times 0.18 + 92 \times 0.12 + 100 \times 0.05 + 88 \times 0.04 + 93 \times0.03 + 95 \times 0.03) \\ &\quad + (90 \times 0.15 + 100 \times 0.10 + 95 \times 0.07 + 98 \times 0.05 + 96 \times 0.03) \\ &= (22.5 + 17.1 + 11.04 + 5 +3.52 + 2.79 + 2.85) \\ &\quad + (13.5 + 10 + 6.65 + 4.9 + 2.88) \\ &= 65.8 +37.93 \\ &= 103.73 Decision result: The comprehensive score is 103.73, which is much higher than the set threshold of 80. Therefore, the direct deployment plan is selected.

[0084] Deployment plan: Installation location selection: Select the car top as the best installation location for the 4G router to ensure it is in an open area and avoid signal reception interference from obstacles. POE power supply configuration: Use Power over Ethernet (POE) technology to power the 4G router, simplify the power line layout, and improve the installation efficiency. Antenna optimization: Adjust the external antenna direction of the 4G router according to the specific situation of the hoistway to ensure the best signal coverage. Function test: Conduct a comprehensive function test to verify the communication quality and stability and ensure the normal operation of the system.

[0085] Example 2: Low comprehensive score (<80 points) Scenario description: After a comprehensive evaluation of the elevator hoistway in an old office building, multiple unfavorable conditions are found. According to the set standards, the scores of each parameter are as follows: Signal strength (RSSI): 50 points, Signal-to-noise ratio (SNR): 60 points, Signal-to-interference-plus-noise ratio (SINR): 55 points, Bit error rate (BER): 80 points, Throughput: 65 points, Latency: 70 points, Jitter: 75 points, Metal wall reflection and shielding effect: 40 points, Physical obstacles: 50 points, Space limitation: 60 points, Electromagnetic interference source: 55 points, Environmental factors such as temperature and humidity: 65 points Comprehensive score calculation: \begin{align*} \text{Comprehensive score}&= (50 \times 0.25 + 60 \times 0.18 + 55 \times 0.12 + 80 \times 0.05 + 65 \times 0.04 + 70 \times0.03 + 75 \times 0.03) \\ &\quad + (40 \times 0.15 + 50 \times 0.10 + 60 \times 0.07 + 55 \times 0.05 + 65 \times 0.03) \\ &= (12.5 + 10.8 + 6.6 + 4 +2.6 + 2.1 + 2.25) \\ &\quad + (6 + 5 + 4.2 + 2.75 + 1.95) \\ &= 41.85 + 19.9\\ &= 61.75 Decision result: The comprehensive score is 61.75 points, which is lower than the set threshold of 80 points. Therefore, the indirect bridging scheme is selected.

[0086] Deployment plan: Deploy a 4G router in the computer room: Install a 4G router on the top of the building or in the computer room near the elevator control center to ensure good external signal reception conditions. Selection of bridge equipment: Select a high-performance CPE bridge device with strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the computer room to the bottom of the shaft. Wiring and fixing: Lay special data transmission cables using the existing elevator trailing cable channel, and fix the CPE transmitter at a suitable position in the shaft, usually at a certain distance above the car and facing downwards for easy signal reception. At the same time, install the corresponding receiving device on the car top and connect it to the switch to be responsible for distributing multi-elevator signals. Communication effect test: Conduct a comprehensive test on the communication effect of the entire system to ensure no blind spots and stable and reliable signals.

[0087] Example 3: Edge case close to the critical value (close to 80 points) Scenario description: After a comprehensive evaluation of the elevator shaft of a commercial building, the comprehensive score is close to but does not reach the set threshold. According to the set standards, the scores of each parameter are as follows: Signal strength (RSSI): 75 points, Signal-to-noise ratio (SNR): 78 points, Signal-to-interference-plus-noise ratio (SINR): 72 points, Bit error rate (BER): 90 points, Throughput: 80 points, Latency: 85 points, Jitter: 88 points, Metal wall reflection and shielding effect: 70 points, Physical obstacles: 80 points, Space limitation: 75 points, Electromagnetic interference source: 78 points, Environmental factors such as temperature and humidity: 85 points Comprehensive score calculation: \(\begin{align*}\text{Comprehensive score}&=(75\times0.25 + 78\times0.18 + 72\times0.12 + 90\times0.05 + 80\times0.04 + 85\times0.03 + 88\times0.03)\\&\quad+(70\times0.15 + 80\times0.10 + 75\times0.07 + 78\times0.05 + 85\times0.03)\\&=(18.75 + 14.04 + 8.64 + 4.5 + 3.2 + 2.55 + 2.64)\\&\quad+(10.5 + 8 + 5.25 + 3.9 + 2.55)\\&=54.32 + 30.2\\&=84.52\end{align*}\) Decision result: The comprehensive score is 84.52, which is close to but slightly higher than the set threshold of 80. Considering that there is still room for improvement in some key parameters (such as RSSI, SNR), it is recommended to take further optimization measures, such as increasing the number of additional tests to obtain more data to support the final decision.

[0088] Deployment plan: Temporary test node settings: Set up multiple temporary test nodes, including installing small 4G / 5G routers and CPE bridge devices at representative locations in the shaft, establishing a wireless link, and verifying the actual communication quality of the direct deployment and indirect bridging schemes. Dynamic adjustment strategy: Develop an adaptive algorithm to monitor the changes in the network environment in the shaft in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation to improve network flexibility and robustness. Long-term monitoring and feedback mechanism: Deploy a remote monitoring platform to achieve real-time monitoring of the network status of each node, automatically alarm abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0089] In some embodiments of the present application, the evaluation of the shaft network condition based on the shaft network strength and shaft environment to obtain an evaluation result is specifically as follows: Place the analyzer at different floors and positions for multi-point testing; Measure the network condition parameters in the shaft, including: 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters; Measure the environmental analysis parameters, including: Analyze the internal structure of the shaft, mark the factors affecting signal propagation, identify and record all potential radio interference sources inside and outside the shaft.

[0090] Specifically, multi-point testing and data analysis Place the analyzer on different floors and positions To comprehensively understand the network conditions in the hoistway, it is necessary to use a professional wireless signal analyzer to conduct multi-point tests at different floors and positions. It is very important to select representative test points, which should cover all parts of the entire hoistway, including but not limited to: Top of the car (car top): This is one of the most direct installation positions and can provide first-hand data on signal propagation in the hoistway. Bottom of the hoistway: Understanding the signal strength and its variations at the bottom layer is particularly important, especially for indirect bridging solutions. Intermediate floors: Select multiple intermediate floors for testing to capture the trend of signal changes with height. Machine room: If an indirect bridging solution is planned, the signal quality in the machine room is also a key evaluation point.

[0091] In this way, the comprehensiveness and accuracy of the evaluation results can be ensured, and misjudgments caused by the characteristics of local areas can be avoided.

[0092] Measure network condition parameters Measure the network condition parameters in the hoistway Use professional tools and equipment to measure and record the network condition parameters in the hoistway, mainly including the following items: 4G / 5G signal strength (RSSI): Measures the signal power received by the receiving end, with the unit of dBm. A higher RSSI value means a stronger signal, and generally ≥ -70 dBm is regarded as a good signal. Signal-to-noise ratio (SNR): Represents the ratio of the signal to the background noise, with the unit of dB. A high SNR means a clearer signal transmission and a reduced bit error rate. Generally, ≥ 20 dB is the ideal state. Signal-to-interference-plus-noise ratio (SINR): The signal-to-noise ratio considering interference factors, which can better reflect the actual communication effect. Generally, ≥ 15 dB is the good standard. Bit error rate (BER): Measures the probability of errors occurring during transmission. The ideal BER should be as low as possible. Generally, <10^-6 is the best. Throughput: Refers to the amount of data successfully transmitted per unit time, with the unit of Mbps. The downlink rate ≥ 10 Mbps is the basic requirement. Latency: The time required from sending to receiving, with the unit of ms. A lower latency is helpful for real-time applications. Generally, ≤ 100 ms is the ideal range. Jitter: Describes the degree of change in latency, with the unit of ms. Stable jitter helps to ensure the quality of audio and video streams. Generally, ≤ 30 ms is the good standard.

[0093] These parameters provide quantitative information about the network performance in the hoistway and are the basis for evaluating the network conditions.

[0094] Measure environmental analysis parameters Analyze the internal structure of the hoistway In addition to technical parameters, it is also necessary to conduct a detailed analysis of the internal structure of the hoistway and mark the factors affecting signal propagation. This includes but is not limited to: Reflection and shielding effects of metal walls: Metal hoistway walls may reflect or shield wireless signals, affecting the signal propagation path. Evaluate the degree of reflection and shielding to determine whether additional measures (such as optimizing the antenna position or angle) are required. Physical obstacles: Mechanical equipment and other fixed devices in the hoistway may block or absorb wireless signals. Identify the locations and types of these obstacles and consider how to avoid them. Space limitations: The limited space in the hoistway affects the choice of equipment installation locations and the difficulty of wiring. Evaluate the available space to ensure the feasibility of equipment installation and wiring.

[0095] Identify and record potential radio interference sources: Identify and record all potential radio interference sources inside and outside the hoistway, which is crucial for ensuring network stability. Interference sources may come from: Other wireless devices: Such as Wi-Fi routers, Bluetooth devices, or other wireless sensor systems. Electrical equipment: Electromagnetic interference generated by motors, frequency converters, etc. External environment: Nearby base stations, microwave towers, etc. may also generate interference.

[0096] Through detailed on-site investigations and spectrum analysis, identify the specific locations and frequency ranges of these interference sources and take corresponding avoidance measures (such as adjusting the working frequency band, increasing shielding materials, etc.).

[0097] Integration and comprehensive evaluation: Organize and summarize the above measurement data to form a complete report. Use charts or graphical tools to intuitively display the signal changes at different locations and different times to assist subsequent analysis. Create a data table listing the locations of each test point and their corresponding parameter values; draw a heat map to show the signal strength distribution in the hoistway; record the parameter fluctuations at different times of the day to help identify periodic interference sources.

[0098] In some embodiments of the present application, the requirement judgment is performed based on the evaluation results to obtain a comprehensive score. The requirement judgment is based on an analysis and comparison of the evaluation results with preset standards. Specifically: Assign different weights according to the importance of each parameter, compare and analyze the evaluation results with the preset standards one by one, identify the specific parameters that do not meet the standards, record their deviation degrees, and calculate the comprehensive score.

[0099] Specifically, set preset standards: First, a set of clear and quantifiable technical evaluation criteria need to be established to measure whether the network environment in the hoistway meets the requirements for directly deploying a 4G router. These criteria should cover all key parameters and set specific passing lines or ideal ranges for each parameter. For example: 4G / 5G signal strength (RSSI): ≥ -70 dBm, signal-to-noise ratio (SNR): ≥ 20 dB, signal-to-interference-plus-noise ratio (SINR): ≥ 15 dB, bit error rate (BER): < 10^-6, throughput: downlink rate ≥ 10 Mbps, latency: ≤ 100 ms, jitter: ≤ 30 ms For environmental analysis parameters, environmental factors such as metal wall reflection and shielding effects, physical obstacles, space limitations, electromagnetic interference sources, and temperature and humidity are considered.

[0100] Assign different weights: Different weights are assigned according to the importance of each parameter to ensure that the evaluation results are comprehensive and targeted. The weight distribution reflects the critical contributions of each parameter to the overall network performance. For example: Network condition parameters (total weight 60%): RSSI: 25%, SNR: 18%, SINR: 12%, BER: 5%, Throughput: 4%, Latency: 3%, Jitter: 3%. Environmental analysis parameters (total weight 40%): Metal wall reflection and shielding effects: 15%, Physical obstacles: 10%, Space limitations: 7%, Electromagnetic interference sources: 5%, Environmental factors such as temperature and humidity: 3%.

[0101] Comparative analysis Compare parameters one by one Compare the actual test results with the pre-set standards one by one. This step is not limited to numerical comparison, but also includes identifying and recording the degree of parameter deviation. For specific parameters that do not meet the standards, their differences need to be recorded in detail for subsequent formulation of optimization measures. For example: If the RSSI value at a certain test point is -72 dBm, the score for this parameter is 60 points. If the SNR is 22 dB, the score is 80 points. If there is an obvious metal wall reflection and shielding effect, the score may be only 40 points.

[0102] Identify parameters that do not meet the standards During the comparison process, identify the specific parameters that do not meet the standards and record their deviation degrees. This helps to identify the main problems and provides a basis for subsequent adjustments. For example: If the RSSI at a certain test point is lower than -70 dBm, it is labeled as "Insufficient RSSI", and the specific deviation value is recorded. If there are multiple severe physical obstacles, it is labeled as "Serious impact of physical obstacles".

[0103] Calculate the comprehensive score Convert to a score According to the set scoring criteria, convert the actual measured value of each parameter to a score. For example: RSSI: ≥ -60 dBm: 100 points -60 dBm to -70 dBm: 80 points -70 dBm to -80 dBm: 60 points < -80 dBm: 40 points SNR: ≥ 25 dB: 100 points 20 dB to 25 dB: 80 points 15 dB to 20 dB: 60 points < 15 dB: 40 points Metal wall reflection and shielding effect: Strong reflection / shielding effect is obvious: 40 points, Medium reflection / shielding effect: 60 points, Weak reflection / shielding effect: 80 points, Almost no reflection / shielding effect: 100 points Weighted average calculation Use the weighted average formula to calculate the comprehensive score: Comprehensive score = ∑(parameter score × weight) Suppose the scores of each parameter at a certain test point are: RSSI: 60 points (weight 25%), SNR: 80 points (weight 18%), SINR: 70 points (weight 12%), BER: 90 points (weight 5%), Throughput: 85 points (weight 4%), Latency: 95 points (weight 3%), Jitter: 85 points (weight 3%).

[0104] Metal wall reflection and shielding effect: 80 points (weight 15%), Physical obstacles: 90 points (weight 10%), Space limitation: 85 points (weight 7%), Electromagnetic interference source: 85 points (weight 5%), Environmental factors such as temperature and humidity: 90 points (weight 3%).

[0105] The comprehensive score is: Comprehensive Score = (60×0.25 + 80×0.18 + 70×0.12 + 90×0.05 + 85×0.04 + 95×0.03 + 85×0.03) + (80×0.15 + 90×0.10 + 85×0.07 + 85×0.05 + 90×0.03) = (15 + 14.4 + 8.4 + 4.5 + 3.4 + 2.85 + 2.55) + (12 + 9 + 5.95 + 4.25 + 2.7) = 50.9 + 33.9 = 84.8 Decision rule Based on the comprehensive score, formulate a clear decision rule: Comprehensive Score ≥ 80 points: The network environment in the hoistway is suitable for directly deploying a 4G router. At this time, a 4G router can be directly installed on the car top and powered by POE to ensure simplicity and efficiency. At the same time, adjust the antenna angle and direction to optimize the signal coverage range, and conduct a final functional test to verify the communication quality and stability.

[0106] Comprehensive Score < 80 points: There are some adverse conditions. It is recommended to switch to an indirect bridging solution or take other optimization measures. At this time, a 4G router should be installed in the machine room, a high-performance CPE bridge device should be selected, and a dedicated data transmission cable should be laid along the elevator trailing cable channel. Fix the CPE transmitter at a suitable position in the hoistway, facing downward for easy signal reception. Install a corresponding receiving device on the car top and connect it to the switch to be responsible for distributing multi-elevator signals, and test the communication effect of the entire system to ensure no blind spots and stable and reliable signals.

[0107] Handling of special situations: For situations close to the critical value (such as the score being close to 80 points), the number of additional tests can be increased to obtain more data to support the final decision. Even if most parameters meet the standards, but if a certain key parameter (such as RSSI or metal wall reflection) is significantly insufficient, it should also be treated with caution and further optimization or remedial measures may be required.

[0108] In some embodiments of the present application, different weights are assigned according to the importance of each parameter, specifically: Determine the weight ratio between the network condition parameters and the environmental analysis parameters; Determine the weights of the first subset of sub-parameters included in the network condition parameters and the weights of the second subset of sub-parameters included in the environmental analysis parameters; Based on the weight ratio, the weight of the first subset of sub-parameters, and the weight of the second subset of sub-parameters.

[0109] Specifically, determine the weight ratio between the network condition parameters and the environmental analysis parameters First, it is necessary to clarify the overall weight ratio between network condition parameters (such as signal strength, signal-to-noise ratio, etc.) and environmental analysis parameters (such as metal wall reflection and shielding effects, physical obstacles, etc.). This step aims to balance the impacts of technical performance and actual environmental conditions on the overall network quality.

[0110] Total weight of network condition parameters: 60%. Network condition parameters directly reflect the quality of wireless communication and thus usually occupy a relatively high weight ratio.

[0111] Total weight of environmental analysis parameters: 40%. Although environmental analysis parameters are not direct technical indicators, they have an important impact on signal propagation and thus also have a certain weight.

[0112] Determine the weights of the first subset of parameters (network condition parameters) Among the network condition parameters, they are further subdivided into multiple first subsets of parameters, and each sub-parameter is assigned a different weight according to its critical contribution to communication quality. The specific allocation is as follows: Signal strength (RSSI): 25% (accounting for 41.7% of the total weight of network condition parameters), which directly affects signal coverage and reception quality and is one of the most important indicators.

[0113] Signal-to-noise ratio (SNR): 18% (accounting for 30.0% of the total weight of network condition parameters). A high SNR means clearer signal transmission, reducing the bit error rate, which is crucial for communication quality. Signal-to-interference-plus-noise ratio (SINR): 12% (accounting for 20.0% of the total weight of network condition parameters), which is the signal-to-noise ratio considering interference factors and can better reflect the actual communication effect. Bit error rate (BER): 5% (accounting for 8.3% of the total weight of network condition parameters). Although important, it is usually correlated with other parameters and thus has a slightly lower weight. Throughput: 4% (accounting for 6.7% of the total weight of network condition parameters), which affects the data transmission rate and is very important for certain application scenarios. Latency: 3% (accounting for 5.0% of the total weight of network condition parameters), which is crucial for real-time applications (such as video surveillance, voice calls) but has less impact on general data transmission. Jitter: 3% (accounting for 5.0% of the total weight of network condition parameters), which mainly affects the quality of audio and video streams in real-time applications and has the lowest weight.

[0114] Determine the weights of the second subset of parameters (environmental analysis parameters) Among the environmental analysis parameters, they are further subdivided into multiple second subsets of parameters, and each sub-parameter is assigned a different weight according to its critical contribution to communication quality. The specific allocation is as follows: Metal Wall Reflection and Shielding Effect: 15% (37.5% of the total weight of environmental analysis parameters). The metal shaft wall can significantly affect signal propagation, leading to multipath effects and shielding problems. Physical Obstacles: 10% (25.0% of the total weight of environmental analysis parameters). Mechanical equipment and other fixed devices in the shaft may block or absorb wireless signals. Space Limitation: 7% (17.5% of the total weight of environmental analysis parameters). The limited space in the shaft affects the choice of equipment installation location and the difficulty of wiring. Electromagnetic Interference Sources: 5% (12.5% of the total weight of environmental analysis parameters). Electrical equipment inside and outside the shaft may generate electromagnetic interference, reducing communication quality. Environmental Factors such as Temperature and Humidity: 3% (7.5% of the total weight of environmental analysis parameters). Extreme temperature and humidity conditions may indirectly affect the working state and performance of wireless devices.

[0115] Based on the weight ratio, the weights of the first sub-parameter set, and the weights of the second sub-parameter set Through the above steps, the overall weight ratio between the network condition parameters and the environmental analysis parameters, as well as the specific weight distribution within each of them, has been clarified. Next, these weights will be applied to the specific evaluation results to calculate the comprehensive score.

[0116] For example, assume the scores of each parameter at a certain test point are as follows: Network Condition Parameters RSSI: 60 points (weight 25%), SNR: 80 points (weight 18%), SINR: 70 points (weight 12%), BER: 90 points (weight 5%), Throughput: 85 points (weight 4%), Latency: 95 points (weight 3%), Jitter: 85 points (weight 3%) Environmental Analysis Parameters Metal Wall Reflection and Shielding Effect: 80 points (weight 15%), Physical Obstacles: 90 points (weight 10%), Space Limitation: 85 points (weight 7%), Electromagnetic Interference Sources: 85 points (weight 5%), Environmental Factors such as Temperature and Humidity: 90 points (weight 3%) Then the comprehensive score is: Comprehensive Score = (60×0.25 + 80×0.18 + 70×0.12 + 90×0.05 + 85×0.04 + 95×0.03 + 85×0.03) + (80×0.15 + 90×0.10 + 85×0.07 + 85×0.05 + 90×0.03) = (15 + 14.4 + 8.4 + 4.5 + 3.4 + 2.85 + 2.55) + (12 + 9 + 5.95 + 4.25 + 2.7) = 50.9 + 33.9 = 84.8 Through this method, different weights can be assigned according to the importance of various parameters to ensure that the evaluation results are both comprehensive and targeted. This weighted scoring system not only covers the technical evaluation of the network conditions but also fully considers the influence of the internal structure and environmental characteristics of the shaft, providing a solid basis for subsequent demand judgment and deployment plan selection.

[0117] In some embodiments of the present application, the corresponding deployment plan is selected based on the comprehensive score, specifically as follows: The comprehensive score is calculated by weighted average, and the specific formula is: Comprehensive score = ∑(parameter score × weight); If the comprehensive score is not lower than the preset score, the direct deployment plan is selected; if the comprehensive score is lower than the preset score, the indirect bridging plan is selected.

[0118] Specifically, the comprehensive score is calculated by weighted average The calculation formula of the comprehensive score is: Comprehensive score = ∑(parameter score × weight) Where: Parameter score: The score converted from the actual measured value of each evaluation parameter. Weight: Different weights assigned according to the importance of the parameter. This formula obtains a comprehensive score reflecting the overall network condition of the shaft by multiplying each parameter score by its corresponding weight and summing them. This method ensures that the evaluation results are both comprehensive and targeted, and can accurately reflect the influence of each parameter on the network performance.

[0119] Determine the preset score Before selecting the deployment plan, a clear preset score (threshold) needs to be set to distinguish different levels of comprehensive scores. For example: Preset score: 80 points This threshold should be adjusted based on preset standards and actual test data to ensure its rationality and scientificity.

[0120] Select the deployment plan According to the comparison between the calculated comprehensive score and the preset score, select the corresponding deployment plan: The comprehensive score is not lower than the preset score (≥ 80 points) If the comprehensive score reaches or exceeds the preset score, the direct deployment plan is selected. This means that the network environment in the shaft is relatively ideal, and the 4G router can be directly installed without taking additional measures. The specific steps are as follows: Installation location selection: Select the top of the car as the best installation location for the 4G router, ensuring it is in an open area to avoid signal reception being affected by obstructions. POE power supply configuration: Use Power over Ethernet (POE) technology to power the 4G router, simplifying the power line layout and improving installation efficiency. Antenna optimization: Adjust the direction of the external antenna of the 4G router according to the specific conditions of the hoistway to ensure the best signal coverage. Function test: Conduct a comprehensive function test to verify the communication quality and stability and ensure the normal operation of the system.

[0121] The comprehensive score is lower than the preset score (<80 points) If the comprehensive score is lower than the preset score, select the indirect bridging solution. This indicates that there are some adverse conditions in the hoistway, such as insufficient signal strength, obvious reflection and shielding effects, etc. Therefore, the indirect bridging method needs to be adopted to overcome these problems. The specific steps are as follows: Deploy the 4G router in the machine room: Install the 4G router on the top of the building or in the machine room near the elevator control center to ensure good external signal reception conditions. Selection of bridge equipment: Select a high-performance CPE bridge device with strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the hoistway. Wiring and fixation: Use the existing elevator trailing cable channel to lay dedicated data transmission cables, fix the CPE transmitter at a suitable position in the hoistway, usually at a certain distance above the car, facing downwards for easy signal reception. At the same time, install the corresponding receiving device on the top of the car and connect it to the switch to be responsible for distributing multi-lift signals. Communication effect test: Conduct a comprehensive test on the communication effect of the entire system to ensure there are no blind spots and the signal is stable and reliable.

[0122] Handling of special situations: For situations close to the critical value (such as the score being close to 80 points), additional test times can be increased to obtain more data to support the final decision. Even if most parameters meet the standards, if a certain key parameter (such as RSSI or metal wall reflection) is significantly insufficient, it should also be treated with caution and further optimization or remedial measures may be required.

[0123] Dynamic adjustment strategy: Considering that the network environment in the hoistway may change over time, develop an adaptive algorithm to monitor the changes in the network environment in the hoistway in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation. This can significantly improve the flexibility and robustness of the network and adapt to changing working conditions.

[0124] Long-term Monitoring and Feedback Mechanism: Regardless of the selected deployment plan, a long-term monitoring platform needs to be established to continuously monitor the network status of each node in real time, automatically alarm abnormal situations, ensure the stable operation of the system, collect user feedback, and continuously improve service quality and user experience. Through long-term data accumulation, valuable experience and data support can also be provided for future optimization and upgrading.

[0125] A single-ladder single-building network bridging communication guarantee system, comprising: An evaluation module that evaluates the wellbore network condition based on the wellbore network strength and the wellbore environment to obtain an evaluation result, where the wellbore network strength is obtained by testing the 4G / 5G signals in the wellbore, and the wellbore environment is obtained by analyzing the internal structure of the wellbore; a judgment module that makes a requirement judgment based on the evaluation result to obtain a comprehensive score, where the requirement judgment is based on an analysis and comparison of the evaluation result with a preset standard; and a selection module that selects a corresponding deployment plan based on the comprehensive score.

[0126] According to an embodiment of the present application, the evaluation module is specifically: Place the analyzer on different floors and positions for multi-point testing; measure parameters such as 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter in the wellbore; analyze the internal structure of the wellbore, mark the factors affecting signal propagation, and identify and record all potential radio interference sources inside and outside the wellbore.

[0127] An embodiment of the second aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the disconnection reconnection method of the intelligent embedded device remote management system in any embodiment of the first aspect above.

[0128] Figure 2 An entity structure schematic diagram of an electronic device is exemplified, as Figure 2 shown. The electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logical instructions in the memory 830 to execute the single-ladder single-building network bridging communication guarantee method in any embodiment of the first aspect above. The method includes: Evaluate the condition of the shaft network based on the shaft network strength and the shaft environment to obtain an evaluation result. The shaft network strength is obtained by testing the 4G / 5G signals in the shaft, and the shaft environment is obtained by analyzing the internal structure of the shaft. Make a requirement judgment based on the evaluation result to obtain a comprehensive score. The requirement judgment is based on an analysis and comparison of the evaluation result with a preset standard. Select a corresponding deployment plan based on the comprehensive score.

[0129] In addition, when the logical instructions in the above-mentioned memory 830 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0130] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the single-ladder single-building network bridging communication guarantee method provided by the above-mentioned various methods. The method includes: Perform heartbeat detection on the client and the device end according to a preset period, and check the connection status of TCP to determine whether there is a disconnection. Classify the disconnection into WiFi signal problems, IP address changes, and device restart or network configuration changes. Select different reconnection methods according to different disconnection situations. The reconnection methods include: a fast reconnection strategy, an exponential backoff algorithm, and connecting using a new IP address. Among them, the fast reconnection strategy is used to solve the WiFi signal problem, the exponential backoff algorithm is used to solve the device restart or network configuration change, and connecting using a new IP address is used to solve the IP address change.

[0131] On yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the single-ladder single-building network bridging communication guarantee method provided by the above-mentioned various methods. The method includes: Perform heartbeat detection on the client and device ends according to a preset period, and check the TCP connection status to determine whether there is a disconnection; classify the disconnection situations into WiFi signal problems, IP address changes, and device restart or network configuration changes; select different reconnection methods according to different disconnection situations, and the reconnection methods include: fast reconnection strategy, exponential backoff algorithm, and connection using a new IP address; where the fast reconnection strategy is used to solve the WiFi signal problem, the exponential backoff algorithm is used to solve the device restart or network configuration change, and the connection using a new IP address is used to solve the IP address change.

[0132] Embodiment 2 Deployment of the elevator Internet of Things system in a high-rise office building Scenario description A high-rise office building plans to upgrade the Internet of Things function of its elevator system to improve the building automation level and user experience. The office building has 20 floors, the elevator shaft is of metal structure, there are various electrical devices inside (such as motors, control panels), and there is strong Wi-Fi signal interference on some floors. In addition, the office building is located in the city center area, and there are many high-rise buildings around, which may bring additional radio interference.

[0133] Evaluation steps Selection of test tools Use professional wireless signal analyzers (such as QualiPoc, Metagear) to conduct a comprehensive test on the 4G / 5G signals in the shaft.

[0134] Test time: Considering the signal volatility, select different time periods in a day (such as 8 am, 12 noon, 8 pm) for multiple tests to ensure the comprehensiveness and accuracy of the data.

[0135] Multi-point testing and data analysis Conduct multi-point testing at the top of the car (car top), the bottom of the shaft, and multiple intermediate floors (such as the 5th floor, 10th floor, 15th floor).

[0136] Record the following key parameters at each test point: RSSI: average -73 dBm, SNR: average 21 dB, SINR: average 16 dB, BER: average 10^-6, Throughput: average 8 Mbps, Latency: average 90 ms, Jitter: average 28 ms Environmental analysis Analyze the internal structure of the hoistway and find obvious metal wall reflection and shielding effects, especially severe signal attenuation at the bottom of the hoistway. Mark all factors that may affect signal propagation, including the positions of mechanical equipment and potential radio interference sources (such as nearby Wi-Fi routers). Draw a three-dimensional model of the hoistway, mark the positions of all fixtures, and design a signal transmission path to bypass obstacles. Identify and record all potential radio interference sources inside and outside the hoistway, and take measures such as shielding and filtering to reduce their impact.

[0137] Comprehensive score calculation According to the set criteria and weight distribution, score the above measurement data: Score for network condition parameters: RSSI: 60 points (weight 25%), SNR: 80 points (weight 18%), SINR: 70 points (weight 12%), BER: 100 points (weight 5%), Throughput: 80 points (weight 4%), Latency: 80 points (weight 3%), Jitter: 70 points (weight 3%) Score for environmental analysis parameters: Metal wall reflection and shielding effect: 60 points (weight 15%), Physical obstacles: 80 points (weight 10%), Space limitation: 75 points (weight 7%), Electromagnetic interference sources: 70 points (weight 5%), Environmental factors such as temperature and humidity: 85 points (weight 3%).

[0138] The comprehensive score is: Comprehensive score = (60×0.25 + 80×0.18 + 70×0.12 + 100×0.05 + 80×0.04 + 80×0.03 + 70×0.03) + (60×0.15 + 80×0.10 + 75×0.07 + 70×0.05 + 85×0.03) = (15 + 14.4 + 8.4 + 5 + 3.2 + 2.4 + 2.1) + (9 + 8 + 5.25 + 3.5 + 2.55) = 50.5 + 28.3 = 78.8 Deployment decision Since the comprehensive score is 78.8, which is lower than the preset threshold of 80 points, it is recommended to adopt an indirect bridging solution: Deploy a 4G router in the machine room: Install a 4G router on the top of the building or in the machine room near the elevator control center to ensure good external signal reception conditions.

[0139] Select the CPE bridge device: Select a high-performance CPE bridge device with strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the hoistway.

[0140] Wiring and Fixing: Utilize the existing elevator trailing cable channels to lay dedicated data transmission cables, and fix the CPE transmitter at a suitable position in the hoistway, usually at a certain distance above the car, facing downwards for easy signal reception. At the same time, install the corresponding receiving device on the car top and connect it to the switch, which is responsible for distributing multi-elevator signals.

[0141] Communication Effect Testing: Conduct a comprehensive test on the communication effect of the entire system to ensure no blind spots and stable and reliable signals. Test the actual communication quality through methods such as uploading and downloading large files and using the Ping command, and record the values of various parameters.

[0142] Subsequent Optimization Measures: Considering that the comprehensive score is close to the critical value, additional test times can be considered to obtain more data to support the final decision. At the same time, for certain key parameters (such as RSSI, SNR), the antenna installation position or angle can be further optimized to reduce the influence of reflection and shielding effects. In addition, introduce a spectrum analyzer to detect the frequency bands used inside and outside the hoistway, identify potential interference sources or spectrum conflicts, and take corresponding measures to avoid these interferences, thereby optimizing the wireless communication quality and ensuring the stable operation of the network.

[0143] Dynamic Adjustment Strategy: Develop an adaptive algorithm to monitor the changes in the network environment in the hoistway in real time, and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to the actual situation to improve the flexibility and robustness of the network.

[0144] Long-term Monitoring and Feedback Mechanism: Deploy a remote monitoring platform to achieve real-time monitoring of the network status of each node, automatically alarm abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0145] Through long-term data accumulation, it can also provide valuable experience and data support for future optimization and upgrading.

[0146] Simulated Fault Scenarios: Design and implement simulated fault scenario tests to verify the system's response capabilities and recovery mechanisms under extreme conditions, optimize the emergency plan, and ensure reliable communication guarantee in any situation.

[0147] Integrate Edge Computing Capability: To cope with the future development trend of technology, integrate edge computing capability into the elevator Internet of Things system, enabling some data processing tasks to be completed locally, reducing latency and enhancing the user experience. With the popularization of 5G networks, upgrade the existing equipment to support 5G communication protocols in a timely manner to enjoy faster and more stable data transmission services.

[0148] For the parts not described in this application, the existing technologies can be adopted or borrowed to achieve the goal.

[0149] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

[0150] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, various modifications and changes can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A single-ladder single-building network bridging communication guarantee method, characterized in that, Including: Evaluating the condition of the shaft network based on the shaft network strength and the shaft environment to obtain an evaluation result, where the shaft network strength is obtained by testing the 4G / 5G signals in the shaft, and the shaft environment is obtained by analyzing the internal structure of the shaft; Making a demand judgment based on the evaluation result to obtain a comprehensive score, where the demand judgment is to analyze and compare the evaluation result with a preset standard; Selecting a corresponding deployment plan based on the comprehensive score.

2. The method according to claim 1, wherein The evaluating the condition of the shaft network based on the shaft network strength and the shaft environment to obtain an evaluation result is specifically: Placing the analyzer at different floors and positions for multi-point testing; Measuring the network condition parameters in the shaft, including: 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters; Measuring the environmental analysis parameters, including: analyzing the internal structure of the shaft, marking the factors affecting signal propagation, and identifying and recording all potential radio interference sources inside and outside the shaft.

3. The method according to claim 1, characterized in that The making a demand judgment based on the evaluation result to obtain a comprehensive score, where the demand judgment is to analyze and compare the evaluation result with a preset standard is specifically: Assigning different weights according to the importance of each parameter, comparing the evaluation result with the preset standard one by one, identifying the specific parameters that do not meet the standard, recording their deviation degrees, and calculating the comprehensive score.

4. The method according to claim 3, characterized in that, The assigning different weights according to the importance of each parameter is specifically: Determining the weight ratio between the network condition parameters and the environmental analysis parameters; Determining the weights of the first subset of parameters included in the network condition parameters and the weights of the second subset of parameters included in the environmental analysis parameters; Based on the weight ratio, the weights of the first subset of parameters, and the weights of the second subset of parameters.

5. The method according to claim 4, characterized in that, The selecting a corresponding deployment plan based on the comprehensive score is specifically: Calculating the comprehensive score through weighted average, and the specific formula is: Comprehensive score = ∑(parameter score × weight); If the comprehensive score is not less than the preset score, select the direct deployment plan; If the comprehensive score is lower than the preset score, select the indirect bridging plan.

6. A single-ladder single-building network bridging communication guarantee system, characterized in that Including: An evaluation module for evaluating the condition of the shaft network based on the shaft network strength and the shaft environment to obtain an evaluation result, where the shaft network strength is obtained by testing the 4G / 5G signals in the shaft, and the shaft environment is obtained by analyzing the internal structure of the shaft; A judgment module for making a demand judgment based on the evaluation result to obtain a comprehensive score, where the demand judgment is to analyze and compare the evaluation result with a preset standard; A selection module for selecting a corresponding deployment plan based on the comprehensive score.

7. The system according to claim 6, wherein The evaluation module is further used for: Placing the analyzer at different floors and positions for multi-point testing; Measuring the 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters in the shaft; Analyzing the internal structure of the shaft, marking the factors affecting signal propagation, and identifying and recording all potential radio interference sources inside and outside the shaft.

8. An electronic device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps in the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the method according to any one of claims 1 to 5.

10. A computer program product comprising instructions, when running on a device, characterized in that Enabling the device to execute the steps in the method according to any one of claims 1 to 5.

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