A single-ladder single-tower network bridging communication guarantee method and system

Abstract

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

Description

Technical Field

[0001] This application belongs to the field of elevator Internet of Things (IoT) technology, specifically relating to a method for ensuring network bridging communication for a single elevator and a single building. Background Technology

[0002] With the rapid development of Internet of Things (IoT) technology, elevator systems are gradually being integrated into intelligent building management systems, becoming an important component for improving building automation and user experience. Within a single building, the reliability of network communication is crucial to ensuring the stable operation of the elevator IoT system. Existing elevator IoT solutions typically rely on traditional wired networks or simple wireless deployments. However, these methods have several limitations: on the one hand, wired network cabling is complex and costly, especially when retrofitting older buildings; on the other hand, traditional wireless deployments often ignore the complex physical environment inside the elevator shaft (such as metal wall reflections and shielding effects) and potential sources of radio interference, leading to unstable signals and incomplete coverage. Furthermore, existing technologies fail to fully consider flexible signal transmission strategies under different network bridging conditions, making it difficult to provide reliable communication guarantees in poor network environments. Summary of the Invention

[0003] This application provides a method and system for ensuring network bridging communication for a single elevator and a single building, in order to solve the problems of signal instability and incomplete coverage in existing elevator IoT systems due to neglecting the complex environment inside the shaft and radio interference in terms of network deployment and communication stability.

[0004] The technical solution adopted in this application is as follows:

[0005] This application provides a method for ensuring network bridging communication for a single building with a single elevator, including:

[0006] The status of the shaft network is evaluated based on the shaft network strength and shaft environment to obtain the evaluation results. 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.

[0007] Based on the evaluation results, a demand assessment is performed to obtain a comprehensive score. The demand assessment is based on the analysis and comparison of the evaluation results with preset standards.

[0008] The corresponding deployment plan is selected based on the comprehensive score.

[0009] According to one embodiment of this application, the evaluation of the well network condition based on well network strength and well environment to obtain the evaluation result specifically includes:

[0010] The analyzer was placed on different floors and in different locations to conduct multi-point tests;

[0011] Measure network condition parameters within the wellbore, including: 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters;

[0012] Measure environmental analysis parameters, including: analyze the internal structure of the shaft, mark factors affecting signal propagation, and identify and record all potential sources of radio interference inside and outside the shaft.

[0013] According to one embodiment of this application, the step of determining needs based on the evaluation results to obtain a comprehensive score, wherein the demand determination is based on an analysis and comparison of the evaluation results with preset standards, specifically as follows:

[0014] Different weights are assigned to each parameter based on their importance. The evaluation results are compared and analyzed one by one with the pre-set standards. Specific parameters that do not meet the standards are identified, and the degree of deviation is recorded. The comprehensive score is then calculated.

[0015] According to one embodiment of this application, assigning different weights to each parameter based on its importance specifically involves:

[0016] Determine the weighting ratio between the network condition parameters and the environmental analysis parameters;

[0017] Determine the weights of the first sub-parameter set included in the network condition parameters and the weights of the second sub-parameter set included in the environmental analysis parameters;

[0018] Based on the weight ratio, the weight of the first sub-parameter set, and the weight of the second sub-parameter set.

[0019] According to one embodiment of this application, the step of selecting the corresponding deployment scheme based on the comprehensive score specifically includes:

[0020] The comprehensive score is calculated using a weighted average, and the specific formula is as follows:

[0021] Overall score = ∑(parameter score × weight);

[0022] If the overall score is not lower than the preset score, the direct deployment option will be selected.

[0023] If the overall score is lower than the preset score, an indirect bridging scheme is selected.

[0024] A single-elevator, single-building network bridging communication assurance system includes:

[0025] The evaluation module assesses the condition of the shaft network based on the shaft network strength and the shaft environment to obtain the evaluation results. 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.

[0026] The judgment module performs a demand judgment based on the evaluation results to obtain a comprehensive score. The demand judgment is based on the analysis and comparison of the evaluation results with preset standards.

[0027] The selection module selects the corresponding deployment plan based on the comprehensive score.

[0028] According to one embodiment of this application, the evaluation module specifically comprises:

[0029] The analyzer was placed on different floors and in different locations to conduct multi-point tests;

[0030] 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 within the wellbore;

[0031] Analyze the internal structure of the shaft, mark the factors that affect signal propagation, and identify and record all potential sources of radio interference inside and outside the shaft.

[0032] An electronic device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps in the method.

[0033] A computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps in the method.

[0034] A computer program product containing instructions, which, when run on a device, causes the device to perform the steps in implementing the method.

[0035] Due to the adoption of the above technical solution, the beneficial effects achieved by this application are as follows:

[0036] This application addresses the limitations of network deployment and communication instability in existing elevator IoT solutions, achieving a precise deployment strategy for complex shaft environments. The method first utilizes a professional wireless signal analyzer to conduct multi-point tests at different floors and locations, comprehensively measuring key parameters within the shaft, including 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio (SINR), bit error rate, throughput, latency, and jitter. Combined with a detailed analysis of the shaft's internal structure, factors affecting signal propagation are identified, and all potential radio interference sources are recorded to ensure the comprehensiveness and accuracy of the evaluation results. Subsequently, different weights are assigned to each parameter based on their importance, and the actual test results are compared with preset standards to identify specific parameters that do not meet the standards and the degree of deviation, calculating a comprehensive score. This scoring system not only covers technical performance evaluation but also fully considers the influence of the shaft's internal structure and environmental characteristics, providing a solid basis for subsequent demand assessment. Based on a comprehensive scoring system, clear decision-making rules are established. When the score reaches or exceeds a set threshold, a direct deployment solution is selected, which involves installing a 4G router on the car roof and using PoE power to simplify cabling. When the score is below the threshold, an indirect bridging solution is adopted, utilizing a 4G router and high-performance CPE bridge equipment in the machine room to achieve effective signal transmission from the machine room to the bottom of the hoistway, while optimizing antenna installation positions to reduce reflection and shielding effects. Furthermore, spectrum analysis is introduced to avoid interference sources, adaptive algorithms are developed to dynamically adjust communication parameters, a remote monitoring platform is deployed to monitor network status in real time, simulated fault scenarios are designed to test system response capabilities, and edge computing capabilities are integrated to improve user experience. These measures collectively ensure the efficient and stable operation of the elevator IoT system, significantly improving building automation levels and service quality, while also laying the foundation for future technological upgrades. Attached Figure Description

[0037] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0038] Figure 1 A flowchart illustrating a method for ensuring network bridging communication for a single building with a single elevator, provided in an embodiment of this application;

[0039] Figure 2 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0040] Figure label:

[0041] 810, Processor; 820, Communication interface; 830, Memory; 840, Communication bus. Detailed Implementation

[0042] To more clearly illustrate the overall concept of this application, a detailed explanation is provided below with reference to the accompanying drawings.

[0043] Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of this application is not limited to the specific embodiments disclosed below. It should be noted that, unless otherwise specified, the embodiments of this application and the features thereof can be combined with each other.

[0044] In this application, unless otherwise expressly specified and limited, the "above" or "below" of the second feature can mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. In the description of this specification, references to terms such as "an embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples.

[0045] like Figure 1 As shown, a method for ensuring network bridging communication in a single building with a single elevator includes:

[0046] The evaluation results are obtained by assessing the condition of the shaft network based on the shaft network strength and the shaft environment. 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.

[0047] Specifically, shaft network strength refers to the quality and coverage of 4G / 5G signals inside the shaft, reflecting the actual performance of wireless communication within the shaft, and is one of the key factors in determining whether a 4G router can be directly deployed.

[0048] Use professional wireless signal testing tools (such as wireless signal analyzers and spectrum analyzers) to conduct detailed tests on the 4G / 5G signals inside the shaft.

[0049] Signal Strength Index (RSSI): Measures the power level of the received wireless signal, usually measured in decibels per milliwatt (dBm). Signal-to-Noise Ratio (SNR): The ratio of signal power to background noise power, affecting signal clarity. Signal-to-Interference Ratio (SINR): Takes into account the impact of interference sources, providing a more comprehensive reflection of signal quality. Bit Error Rate (BER): The proportion of erroneous bits in the data transmitted per unit time, directly affecting data transmission accuracy. Throughput: The amount of data successfully transmitted per unit time, reflecting network performance. Latency: The time interval between data transmission and reception, affecting the real-time application experience. Jitter: The degree of latency variation, affecting the stability of audio and video streams.

[0050] Assessment based on shaft network strength

[0051] Test equipment preparation: Select a suitable wireless signal analyzer, such as a professional tool like QualiPoc or Metagear. Spectrum analyzer: used to detect interference sources and their frequency range.

[0052] Multi-point testing and data analysis

[0053] Test location selection: Key locations: top of the elevator car (car top), bottom of the shaft, intermediate floors, and machine room. Representative test points: Ensure coverage of all possible application scenarios (such as areas with different heights and equipment densities).

[0054] Specific parameter measurements: RSSI (Received Signal Strength Indicator): Record RSSI values ​​every 5 seconds using a wireless signal analyzer. Set a threshold (e.g., -70 dBm); when the RSSI falls below this threshold, the system considers it to be in a weak signal area. SNR (Signal-to-Noise Ratio): Record SNR values ​​every 5 seconds. Set a pass / fail threshold (e.g., ≥ 20 dB). SINR (Signal-to-Interference-plus-Noise Ratio): Record SINR values ​​every 5 seconds. Set a pass / fail threshold (e.g., ≥ 15 dB). BER (Bit Error Rate): Calculate BER by uploading and downloading large files. Ideally, BER should be as low as possible (typically <10^-6). Throughput: Measure the downlink rate by uploading and downloading large files.

[0055] Set basic requirements (e.g., ≥ 10 Mbps).

[0056] Latency: Measure latency using the Ping command. Set an ideal range (e.g., ≤ 100 ms). Jitter: Measure jitter using the Ping command. Set an ideal range (e.g., ≤ 30 ms).

[0057] Data Processing and Analysis: Heatmap Generation: Generating a heatmap of signal intensity distribution within the wellbore based on RSSI values. Time Series Analysis: Analyzing signal variation trends at different times of the day. Data Processing Software: Using MATLAB or Python for data analysis.

[0058] Assessment based on well environment

[0059] 3D Modeling and Annotation: Tool Selection: Use AutoCAD or Revit for 3D modeling. Annotation of Fixtures: Annotate the location of all mechanical equipment, pipes, and other fixtures in the model. Material Property Annotation: Annotate the material and thickness of the shaft wall.

[0060] Materials analysis and on-site sampling: On-site samples were taken from the shaft wall to determine its metallic composition and thickness. Document review: Building documents were consulted to obtain specific material information for the shaft wall.

[0061] Electromagnetic interference source identification and spectrum analyzer usage: Regularly scan the operating frequency bands inside and outside the shaft using a spectrum analyzer. Interference source recording: Record the frequency and intensity of each interference source and mark its location in the 3D model.

[0062] Reflection path prediction and shielding assessment

[0063] Electromagnetic simulation software application: 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 transmit powers and antenna positions to simulate signal propagation paths.

[0064] Prediction and evaluation, path prediction: predicting the signal reflection path and shielding level based on simulation results. Blind spot identification: marking signal coverage blind spots and high-interference areas. Adjustment suggestions: proposing optimization suggestions such as antenna layout and transmit power adjustment.

[0065] Signal transmission path design and optimization

[0066] Path planning and selection criteria: Prioritize areas with high signal strength and low interference paths. Path optimization: Use Dijkstra's algorithm or A* algorithm to find the optimal transmission path.

[0067] Adaptive algorithm implementation

[0068] Data collection and sensor deployment: Install wireless signal analyzers and environmental sensors at key locations. Feature extraction: Includes real-time data such as RSSI, SNR, SINR, BER, temperature, and humidity.

[0069] Machine learning model training: Model selection: GBDT (Gradient Boosting Decision Tree) was chosen as the initial model. Data partitioning: The dataset was divided into 70% training set, 15% validation set, and 15% test set. Hyperparameter tuning: Model parameters were optimized using grid search or random search. Cross-validation: K-fold cross-validation was used to evaluate model performance.

[0070] Online learning mechanism and online updates: Utilizing online learning frameworks (such as Apache Flink) enables the model to continuously update its parameters based on new data. Real-time adjustment strategy: When the system detects a weak signal area, it automatically adjusts the transmission power or switches the operating frequency band.

[0071] Adjust strategy in real time

[0072] Power Control Algorithm: Activation Condition: The power control algorithm is activated when a weak signal region (RSSI below -70dBm) is detected. Maximum Allowable Power Assessment: First, the maximum allowable transmit power under the current environment is assessed to ensure that it will not interfere with other devices or violate regulatory restrictions. Gradual Adjustment: Starting from the current transmit power, the transmit power is gradually increased in small steps (e.g., 0.5dB) while continuously monitoring changes in RSSI and SINR. If a significant improvement in signal quality is observed, the power is increased further; otherwise, the increase is stopped and the power setting is reverted to the previous step.

[0073] Frequency Switching Protocol: Spectrum Scanning: Periodically scan the operating frequency bands inside and outside the shaft using a spectrum analyzer to identify the currently used frequencies and their occupancy status. Interference Detection: Analyze received signals to detect abnormally high noise levels or frequent bit errors, serving as a basis for judging the degree of interference. Candidate Frequency Band List: Pre-establish a list containing multiple candidate frequency bands to ensure sufficient selection when switching is required. Fast Switching Protocol: Design an efficient frequency switching protocol to complete the transition from the old frequency band to the new frequency band in the shortest possible time, minimizing service interruption time.

[0074] Performance monitoring and feedback

[0075] Remote monitoring platform: Deploy a remote monitoring platform to monitor the network status of each node in real time, including indicators such as connection stability, latency, and packet loss rate. Automatic alarm mechanism: Once an anomaly is detected (such as sudden signal deterioration or prolonged inability to restore normal operation), an alarm is immediately issued to notify maintenance personnel to take action.

[0076] User feedback collection, questionnaires, or direct communication: Collect user feedback through questionnaires or direct communication for subsequent system optimization. Historical data analysis: Utilize big data analytics tools to review the performance of the same frequency band over a past period, identify recurring interference patterns, and prepare for potential problems in advance.

[0077] Furthermore, electromagnetic simulation software can be used to simulate the signal propagation effects under different deployment schemes, optimize antenna installation positions and angles, and reduce the impact of reflection and shielding effects. Simultaneously, 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 these interferences. In addition, multiple temporary test nodes can be set up, including installing small 4G / 5G routers and CPE bridge devices at representative locations within the shaft to establish wireless links and verify the actual communication quality of direct deployment and indirect bridging schemes. Wireless network planning software, combined with architectural drawings and on-site measurement data, can predict the optimal signal coverage range and adjust the design scheme. Finally, a long-term remote monitoring platform can be deployed to monitor network status in real time and automatically alarm for abnormal situations, ensuring stable system operation 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 IoT system.

[0078] Based on the evaluation results, a demand assessment is performed to obtain a comprehensive score. The demand assessment is based on the analysis and comparison of the evaluation results with preset standards.

[0079] Specifically, the needs assessment and comprehensive score calculation are based on the evaluation results.

[0080] Set preset standards

[0081] Standard network condition parameter settings: RSSI (Received Signal Strength Indicator): ≥ -70 dBm. SNR (Signal-to-Noise Ratio): ≥ 20 dB. SINR (Signal-to-Interference-Ratio): ≥ 15 dB. BER (Bit Error Rate): <10^-6. Throughput: Downlink rate ≥ 10 Mbps. Latency: ≤ 100 ms. Jitter: ≤ 30 ms.

[0082] Standard settings for environmental analysis parameters: Metal wall reflection and shielding effect: weak reflection / shielding effect is ideal. Physical obstacles: almost no obstacles is ideal. Space constraints: almost no constraints is ideal. Electromagnetic interference sources: almost no interference sources is ideal. Environmental factors such as temperature and humidity: ideal conditions are optimal.

[0083] Data processing and preliminary screening

[0084] Data Recording: Record the locations of all test points and their corresponding parameter values ​​in a table. Heatmap Plotting: Use MATLAB or Python to generate a heatmap of the signal intensity distribution within the wellbore, visually displaying signal changes at different locations and time periods. Time Series Plotting: Plot parameter fluctuations at different times of the day to help identify periodic interference sources.

[0085] Comparative analysis

[0086] Parameters compared one by one

[0087] Specific steps: Load evaluation results: Extract the evaluation results for each test point from the database. Item-by-item comparison: Compare and analyze each actual test result with the pre-set standard. If the RSSI value of a test point is -72 dBm, the parameter score is 60 points (according to the pre-set standard, the score range is below -70 dBm but above -80 dBm). If the SNR is 22 dB, the score is 80 points (according to the pre-set standard, the score range is 20 dB to 25 dB). Identify parameters that do not meet the standard: For specific parameters that do not meet the standard, their differences must be recorded in detail. For example, if the RSSI of a test point is below -70 dBm, it is marked as "insufficient RSSI," and the specific deviation value is recorded.

[0088] Environmental factors

[0089] Specific steps: Metal wall reflection and shielding effect: Evaluate the impact of the shaft walls on signal propagation. Significant multipath effects or shielding will result in a lower score (e.g., 40 points). Physical obstacles: Identify mechanical equipment and other fixed devices within the shaft, mark their locations, and consider how to avoid these obstacles. Multiple severe obstacles will result in a lower score (e.g., 40 points). Space constraints: Evaluate the impact of limited space within the shaft on equipment installation and wiring. Extremely limited space will result in a lower score (e.g., 40 points). Electromagnetic interference sources: Detect electromagnetic interference generated by electrical equipment or other wireless devices inside and outside the shaft. Strong interference sources will result in a lower score (e.g., 40 points). Environmental factors such as temperature and humidity: Evaluate the impact of extreme temperature and humidity conditions on the performance of wireless devices. Harsh conditions will result in a lower score (e.g., 40 points).

[0090] Comprehensive scoring system

[0091] Weighting: Total weight of network condition parameters: 60%

[0092] RSSI: 25%, SNR: 18%, SINR: 12%, BER: 5%, Throughput: 4%, Latency: 3%, Jitter: 3%

[0093] Total weight of environmental analysis parameters: 40%

[0094] Metal wall reflection and shielding effect: 15%; physical obstacles: 10%; space constraints: 7%; electromagnetic interference sources: 5%; environmental factors such as temperature and humidity: 3%.

[0095] Calculation formula: Overall score = ∑(parameter score × weight)

[0096] For example, suppose the scores for each parameter at a certain test point are:

[0097] Network condition parameter scores: RSSI: 60 (weight 25%), SNR: 80 (weight 18%), SINR: 70 (weight 12%), BER: 90 (weight 5%), Throughput: 85 (weight 4%), Latency: 95 (weight 3%), Jitter: 85 (weight 3%)

[0098] Environmental analysis parameter scores: Metal wall reflection and shielding effect: 80 points (weight 15%), Physical obstacles: 90 points (weight 10%), Space constraints: 85 points (weight 7%), Electromagnetic interference sources: 85 points (weight 5%), Environmental factors such as temperature and humidity: 90 points (weight 3%)

[0099] The overall score is:

[0100] Overall 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)

[0101] Overall score = (15 + 14.4 + 8.4 + 4.5 + 3.4 + 2.85 + 2.55) + (12 + 9 + 5.95 + 4.25 + 2.7)

[0102] Overall score = 50.9 + 33.9 = 84.8

[0103] Decision-making rules

[0104] Threshold setting: Overall score ≥ 80 points: The network environment within the shaft is suitable for direct deployment of a 4G router. Overall score < 80 points: Some unfavorable conditions exist; it is recommended to switch to an indirect bridging solution or other optimization measures.

[0105] Specific implementation steps:

[0106] Direct Deployment Solution: Installation Location Selection: The car roof is selected as the optimal installation location for the 4G router, ensuring it is in an open area and avoiding obstructions that could affect signal reception. PoE Power Supply Configuration: Power over Ethernet (PoE) technology is used to power the 4G router, simplifying power line layout and improving installation efficiency. Antenna Optimization: The direction of the 4G router's external antenna is adjusted according to the specific conditions of the shaft to ensure optimal signal coverage. Functional Testing: Comprehensive functional testing is conducted to verify communication quality and stability, ensuring the system operates normally.

[0107] Indirect Bridging Solution: 4G Router Deployment in the Machine Room: Install a 4G router in the machine room on the top of the building or near the elevator control center to ensure good external signal reception. Bridge Equipment Selection: Select high-performance CPE bridge equipment with strong penetration capabilities and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the shaft. Cabling and Fixing: Lay dedicated data transmission cables using the existing elevator traveling cable channel. Fix the CPE transmitter in a suitable location within the shaft, typically a certain distance above the car, facing downwards for signal reception. Simultaneously, install a corresponding receiving device on the car top and connect it to a switch to distribute signals across multiple elevators. Communication Performance Testing: Conduct comprehensive testing of the entire system's communication performance to ensure no blind spots and stable, reliable signal.

[0108] Special Circumstances Handling

[0109] When approaching the critical value: Increase the number of additional tests: For scores close to 80, additional tests can be conducted to obtain more data to support the final decision. Review of key parameters: Even if most parameters meet the standards, if a key parameter (such as RSSI or metallic wall reflection) is significantly insufficient, caution should be exercised, and further optimization or remedial measures may be necessary.

[0110] Long-term monitoring and feedback mechanism

[0111] Remote Monitoring Platform: Deploy a remote monitoring platform to monitor the network status of each node in real time, automatically alarm for abnormal situations, ensure stable system operation, and collect user feedback to continuously improve service quality and user experience. Dynamic Adjustment Strategy: Develop adaptive algorithms to monitor changes in the network environment within the shaft in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to actual conditions, significantly improving network flexibility and robustness to adapt to constantly changing working conditions.

[0112] For example, determining key parameters and their weights.

[0113] First, identify the key parameters that need to be evaluated and assign weights to them based on their impact on network communication quality. These parameters fall into two main categories: network condition parameters and environmental analysis parameters.

[0114] Network condition parameters (total weight 60%)

[0115] Signal Strength Index (RSSI): 25%, directly affecting signal coverage and reception quality, and is one of the most important metrics. Signal-to-Noise Ratio (SNR): 18%, high SNR means clearer signal transmission and reduced bit error rate, crucial for communication quality. Signal-to-Interference-Ratio (SINR): 12%, takes into account interference factors, especially in complex environments, reflecting actual communication performance. Bit Error Rate (BER): 5%, important but usually closely related to SNR and SINR, therefore has a slightly lower weight. Throughput: 4%, affects data transmission rate, very important for some applications. Latency: 3%, crucial for real-time applications (such as video surveillance and voice calls), but has a smaller impact on general data transmission. Jitter: 3%, mainly affects the quality of audio and video streams in real-time applications, with the lowest weight.

[0116] Environmental analysis parameters (total weight 40%)

[0117] Metal wall reflection and shielding effect: 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 within the shaft may block or absorb wireless signals. Space constraints: 7%. Limited space within the shaft affects the selection of equipment installation locations and the difficulty of wiring. Electromagnetic interference sources: 5%. Electrical equipment from 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 operating status and performance of wireless equipment.

[0118] Set the scoring criteria for each parameter.

[0119] Set a scoring criterion for each parameter, converting the actual measurement value into a score. For example:

[0120] Network condition parameter scoring criteria

[0121] RSSI:

[0122] ≥ -60 dBm: 100 points

[0123] -60 dBm to -70 dBm: 80 minutes

[0124] -70 dBm to -80 dBm: 60 minutes

[0125] <-80 dBm: 40 minutes

[0126] SNR:

[0127] ≥ 25 dB: 100 points

[0128] 20 dB to 25 dB: 80 minutes

[0129] 15 dB to 20 dB: 60 minutes

[0130] <15 dB: 40 minutes

[0131] SINR:

[0132] ≥ 20 dB: 100 points

[0133] 15 dB to 20 dB: 80 minutes

[0134] 10 dB to 15 dB: 60 minutes

[0135] <10 dB: 40 minutes

[0136] BER:

[0137] <10^-6: 100 points

[0138] 10^-6 to 10^-5: 80 minutes

[0139] 10^-5 to 10^-4: 60 minutes

[0140] 10^-4: 40 minutes

[0141] Throughput:

[0142] ≥ 20 Mbps: 100 points

[0143] 10 Mbps to 20 Mbps: 80 points

[0144] 5 Mbps to 10 Mbps: 60 minutes

[0145] <5 Mbps: 40 minutes

[0146] Latency:

[0147] ≤ 50 ms: 100 points

[0148] 50 ms to 100 ms: 80 minutes

[0149] 100 ms to 150 ms: 60 minutes

[0150] 150 ms: 40 minutes

[0151] Jitter:

[0152] ≤ 20 ms: 100 points

[0153] 20 ms to 30 ms: 80 minutes

[0154] 30 ms to 40 ms: 60 minutes

[0155] 40 ms: 40 minutes

[0156] Environmental analysis parameter scoring criteria

[0157] Metal wall reflection and shielding effect: Strong reflection / significant shielding effect: 40 points; Moderate reflection / shielding effect: 60 points; Weak reflection / shielding effect: 80 points; Almost no reflection / shielding effect: 100 points

[0158] Physical obstacles: Multiple severe obstacles: 40 points, a few moderate obstacles: 60 points, a few minor obstacles: 80 points, almost no obstacles: 100 points.

[0159] Space constraints:

[0160] Extremely restricted: 40 points, Significantly restricted: 60 points, Moderately restricted: 80 points, Almost unrestricted: 100 points.

[0161] Electromagnetic interference sources: Strong interference source present: 40 points, Medium interference source present: 60 points, Slight interference source present: 80 points, Almost no interference source present: 100 points.

[0162] Environmental factors such as temperature and humidity: Extreme conditions: 40 points, unfavorable conditions: 60 points, general conditions: 80 points, ideal conditions: 100 points.

[0163] Calculate the scores for each parameter

[0164] Based on the on-site test results and environmental analysis results, the actual measured value of each parameter is converted into a corresponding score. For example, if the RSSI at a test point is -72 dBm, the parameter scores 60 points; if the SNR is 22 dB, the score is 80 points, and so on. Meanwhile, for environmental analysis parameters, scores are assigned based on the actual situation; for example, a weak metal wall reflection and shielding effect results in a score of 80.

[0165] Weighted average calculation of comprehensive score

[0166] The overall score is calculated using the weighted average formula: Overall Score = ∑(Parameter Score × Weight)

[0167] Suppose the scores for each parameter at a certain test point are:

[0168] Network condition parameter scores: RSSI: 60 (weight 25%), SNR: 80 (weight 18%), SINR: 70 (weight 12%), BER: 90 (weight 5%), Throughput: 85 (weight 4%), Latency: 95 (weight 3%), Jitter: 85 (weight 3%)

[0169] Environmental analysis parameter scores: Metal wall reflection and shielding effect: 80 points (weight 15%), Physical obstacles: 90 points (weight 10%), Space constraints: 85 points (weight 7%), Electromagnetic interference sources: 85 points (weight 5%), Environmental factors such as temperature and humidity: 90 points (weight 3%)

[0170] The overall score is calculated as follows:

[0171] Overall 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

[0172] Decision-making rules

[0173] Develop clear decision-making rules based on comprehensive scoring:

[0174] Overall score ≥ 80 points: The network environment inside the shaft is suitable for direct deployment of a 4G router. At this point, a 4G router can be directly installed on the car roof and powered by PoE, ensuring simplicity and efficiency. Simultaneously, adjust the antenna angle and direction to optimize signal coverage, and conduct final functional tests to verify communication quality and stability.

[0175] Overall score <80 points: Some unfavorable conditions exist; it is recommended to switch to an indirect bridging solution or take other optimization measures. In this case, 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 using the elevator's traveling cable channel. The CPE transmitter should be fixed in a suitable position in the shaft, facing downwards for signal reception. A corresponding receiving device should be installed on the car top and connected to a switch to distribute signals across multiple elevators. The communication performance of the entire system should be tested to ensure no blind spots and stable, reliable signal.

[0176] Handling special cases: For edge cases (such as scores approaching the critical value), additional tests can be conducted to obtain more data to support the final decision. Furthermore, even if most parameters meet the standards, if a key parameter (such as RSSI or metallic wall reflection) is significantly insufficient, caution should be exercised, and further optimization or remedial measures may be necessary.

[0177] Furthermore, various advanced technologies and methods can be introduced to enhance the accuracy and reliability of the evaluation. First, electromagnetic simulation software (such as CST Microwave Studio) can be used to simulate signal propagation effects under different deployment schemes, optimizing antenna installation positions and angles, reducing the impact of reflections and shielding effects, identifying potential problems early, and lowering on-site debugging costs. Second, spectrum analysis can be implemented by introducing a spectrum analyzer to detect the frequency bands used inside and outside the shaft, identifying potential interference sources or spectrum conflicts, and taking corresponding measures to avoid these interferences, thereby optimizing wireless communication quality and ensuring stable network operation. In addition, multiple temporary test nodes can be set up, and small 4G / 5G routers and CPE bridge devices can be installed at representative locations within the shaft to establish wireless links, verifying the actual communication quality of direct deployment and indirect bridging schemes, providing more empirical support for the final decision, and improving the reliability of the scheme. To improve network flexibility and robustness, adaptive algorithms can be developed to monitor changes in the network environment within the shaft in real time and dynamically adjust communication parameters (such as power control and frequency switching) according to the actual situation. Simultaneously, a remote monitoring platform is deployed to achieve real-time monitoring of the network status of each node, automatically alarm for abnormal situations, collect user feedback, continuously improve service quality and user experience, and provide valuable experience and data support for future optimization and upgrades through long-term data accumulation. Simulated fault scenario tests are designed and implemented to verify the system's response capabilities and recovery mechanisms under extreme conditions, optimize emergency plans, and ensure reliable communication guarantees under any circumstances. Finally, considering future technological development trends, edge computing capabilities are integrated to enable some data processing tasks to be completed locally, reducing latency and improving user experience. With the popularization of 5G networks, existing equipment will be upgraded to support 5G communication protocols in a timely manner to enjoy faster and more stable data transmission services. Through these extended efforts, the hoistway network status can be assessed more comprehensively and accurately, ensuring the efficient and stable operation of the elevator IoT system.

[0178] The corresponding deployment plan is selected based on the comprehensive score.

[0179] Specifically, the deployment plan is selected based on a comprehensive score.

[0180] Set clear decision thresholds

[0181] Determine the scoring criteria: Direct deployment solution: Overall score ≥ 80 points. Indirect bridging solution: Overall score < 80 points. Direct deployment solution (applicable to high-scoring cases).

[0182] Installation location selection

[0183] Specific steps:

[0184] Select the car roof as the installation location: Ensure it is in an open area to avoid obstructions affecting signal reception. Site survey: Use 3D modeling tools (such as AutoCAD or Revit) to generate an internal structure diagram of the shaft, marking the locations of all obstacles that may affect signal propagation. Optimize layout: Adjust the optimal installation location of the 4G router based on simulation results to ensure maximum signal coverage.

[0185] PoE power supply configuration

[0186] Specific steps: Selecting PoE equipment: Choose a 4G router that supports Power over Ethernet (PoE) technology to simplify power line layout and improve installation efficiency. Cabling planning: Utilize existing elevator cable channels for cabling to reduce additional construction costs. Safety check: Ensure the cabling complies with electrical safety standards to avoid short circuits or other safety hazards.

[0187] Antenna optimization

[0188] Specific steps: Antenna type selection: Select the appropriate antenna type (e.g., omnidirectional or directional antenna) based on the shaft environment. Angle adjustment: Use a wireless signal analyzer to monitor parameters such as RSSI and SNR in real time, and gradually adjust the antenna angle and direction to obtain the best signal coverage. Fixing device: Install a sturdy fixing device on the car roof to ensure that the antenna will not shift due to vibration during operation.

[0189] Functional testing

[0190] Specific steps: Upload and download large files: Test actual communication quality by uploading and downloading large files, recording 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 capabilities and recovery mechanisms under extreme conditions.

[0191] Indirect bridging solution (suitable for low scores)

[0192] 4G routers deployed in the data center

[0193] Specific steps: Site selection assessment: Choose a server room on the top floor of a building or near the elevator control center as the installation location for the 4G router, ensuring good external signal reception conditions. Environmental preparation: Ensure the server room has sufficient space and power supply, and good ventilation to prevent overheating of the equipment. Installation and commissioning: Install the 4G router according to the manufacturer's guidelines and conduct initial functional tests to ensure the equipment is working properly.

[0194] Network bridge equipment selection

[0195] Specific steps: Equipment selection: Select high-performance CPE bridge equipment with strong penetration capabilities and long-distance transmission characteristics to ensure effective signal transmission from the equipment room to the bottom of the shaft. Compatibility testing: Conduct compatibility testing on the selected equipment in a laboratory environment to ensure seamless integration with the existing network architecture. Performance verification: Verify the performance of the CPE bridge equipment in complex environments through actual testing, including signal strength, transmission rate, and stability.

[0196] Wiring and Fixing

[0197] Specific steps: Wiring planning: Utilize the existing elevator traveling cable channel to lay dedicated data transmission cables. Fix the CPE transmitter in a suitable location within the shaft, typically a certain distance above the car, facing downwards for signal reception. Fixing devices: Select appropriate fixing points within the shaft to ensure that cables and equipment will not loosen or be damaged due to vibration during operation. Protective measures: Provide appropriate protective measures for cables and equipment, such as waterproofing, dustproofing, and anti-interference treatment, to ensure long-term stable operation.

[0198] Communication effect test

[0199] Specific steps: Comprehensive testing: Conduct a comprehensive test of the entire system's communication performance to ensure no blind spots and stable, reliable signal. Data recording: Record key parameters such as RSSI, SNR, SINR, BER, Throughput, Latency, and Jitter at each test point. Troubleshooting: Promptly investigate and fix any problems found to ensure the system meets expected performance indicators.

[0200] Special Circumstances Handling

[0201] When approaching the critical value: Increase the number of additional tests: For scores close to 80, additional tests can be conducted to obtain more data to support the final decision.

[0202] Key parameter review: Even if most parameters meet the standards, if a key parameter (such as RSSI or metal wall reflection) is significantly insufficient, caution should be exercised, and further optimization or remedial measures may be required.

[0203] Example Process

[0204] Suppose that the elevator shaft of a commercial building has undergone a comprehensive evaluation and achieved a score of 84.52, which is close to but slightly above the set threshold of 80. Considering that some key parameters (such as RSSI and SNR) still have room for improvement, the following further optimization measures are recommended:

[0205] Temporary test node setup: Select representative locations within the shaft to install small 4G / 5G routers and CPE bridge devices, establish wireless links, and verify the actual communication quality of direct deployment and indirect bridging solutions.

[0206] Dynamic adjustment strategy: Develop adaptive algorithms to monitor changes in the network environment within 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.

[0207] 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 for abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0208] Simulated failure scenarios: Design and implement simulated failure scenario tests to verify the system's response capability and recovery mechanism under extreme conditions, optimize emergency plans, and ensure reliable communication support under any circumstances.

[0209] Edge computing capability integration: Considering future technology development trends, edge computing capabilities are integrated into the elevator IoT system, enabling some data processing tasks to be completed locally, reducing latency and improving user experience.

[0210] For example, Example 1: High overall score (≥ 80 points)

[0211] Scenario Description: The elevator shaft of a newly built residential building has undergone a comprehensive evaluation, and its network status and environmental analysis parameters all show excellent performance. According to the established standards, the scores for each parameter are as follows: Signal Strength (RSSI): 90 points, Signal-to-Noise Ratio (SNR): 95 points, Signal-to-Interference-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 Constraints: 95 points, Electromagnetic Interference Sources: 98 points, Environmental Factors such as Temperature and Humidity: 96 points

[0212] Overall score calculation: \begin{align*} \text{Overall score}&= (90 \times 0.25 + 95 \times 0.18 + 92 \times 0.12 + 100 \times 0.05 + 88 \times 0.04 + 93 \times 0.03 + 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

[0213] Decision result: The overall score is 103.73, which is far higher than the set threshold of 80. Therefore, the direct deployment option is selected.

[0214] Deployment plan:

[0215] Installation Location Selection: The car roof was selected as the optimal installation location for the 4G router, ensuring it is in an open area and free from obstructions that could affect signal reception. PoE Power Supply Configuration: Power over Ethernet (PoE) technology was used to power the 4G router, simplifying power line layout and improving installation efficiency. Antenna Optimization: The direction of the 4G router's external antenna was adjusted according to the specific conditions of the shaft to ensure optimal signal coverage. Functional Testing: Comprehensive functional testing was conducted to verify communication quality and stability, ensuring the system operates normally.

[0216] Example 2: Low overall score (<80 points)

[0217] Scenario Description: A comprehensive assessment of the elevator shaft in an old office building revealed several unfavorable conditions. Based on established standards, the scores for each parameter are as follows: Signal Strength Index (RSSI): 50 points; Signal-to-Noise Ratio (SNR): 60 points; Signal-to-Interference-Ratio (SINR): 55 points; Bit Error Rate (BER): 80 points; Throughput: 65 points; Latency: 70 points; Jitter: 75 points; Metal Surface Reflection and Shielding Effect: 40 points; Physical Obstacles: 50 points; Space Constraints: 60 points; Electromagnetic Interference Sources: 55 points; Environmental Factors such as Temperature and Humidity: 65 points.

[0218] Overall score calculation: \begin{align*} \text{Overall score}&= (50 \times 0.25 + 60 \times 0.18 + 55 \times 0.12 + 80 \times 0.05 + 65 \times 0.04 + 70 \times 0.03 + 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

[0219] Decision result: The overall score is 61.75, which is lower than the set threshold of 80. Therefore, the indirect bridging scheme is selected.

[0220] Deployment plan:

[0221] 4G Router Deployment in the Machine Room: Install a 4G router in the machine room on the top of the building or near the elevator control center to ensure good external signal reception. Bridge Equipment Selection: Select high-performance CPE bridge equipment with strong penetration capabilities and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the shaft. Cabling and Fixing: Lay dedicated data transmission cables using the existing elevator traveling cable channels. Fix the CPE transmitter in a suitable location within the shaft, typically a certain distance above the car, facing downwards for easy signal reception. Simultaneously, install a corresponding receiving device on the car roof and connect it to a switch to distribute signals across multiple elevators. Communication Performance Testing: Conduct comprehensive testing of the entire system's communication performance to ensure no blind spots and stable, reliable signal.

[0222] Example 3: Edge case approaching the critical value (close to 80 points)

[0223] Scenario Description: The elevator shaft of a commercial building underwent a comprehensive evaluation, and its overall score was close to but did not reach the set threshold. Based on the established standards, the scores for each parameter are as follows: Signal Strength Index (RSSI): 75 points, Signal-to-Noise Ratio (SNR): 78 points, Signal-to-Interference-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 Constraints: 75 points, Electromagnetic Interference Sources: 78 points, Environmental Factors such as Temperature and Humidity: 85 points

[0224] Overall score calculation: \begin{align*} \text{Overall score}&= (75 \times 0.25 + 78 \times 0.18 + 72 \times 0.12 + 90 \times 0.05 + 80 \times 0.04 + 85 \times 0.03 + 88 \times 0.03) \\&\quad + (70 \times 0.15 + 80 \times 0.10 + 75 \times 0.07 + 78 \times 0.05 + 85 \times 0.03) \\&= (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

[0225] Decision Result: The overall 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 and 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.

[0226] Deployment Plan: Temporary Test Node Setup: Set up multiple temporary test nodes, including installing small 4G / 5G routers and CPE bridge devices at representative locations within the shaft, establishing wireless links, and verifying the actual communication quality of direct deployment and indirect bridging solutions. Dynamic Adjustment Strategy: Develop adaptive algorithms to monitor changes in the network environment within the shaft in real time and dynamically adjust communication parameters (such as power control, frequency switching, etc.) according to actual conditions, improving 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 for abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0227] In some embodiments of this application, the evaluation of the well network condition based on well network strength and well environment to obtain the evaluation result specifically includes:

[0228] The analyzer was placed on different floors and in different locations to conduct multi-point tests;

[0229] Measure network condition parameters within the wellbore, including: 4G / 5G signal strength, signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio, bit error rate, throughput, latency, and jitter parameters;

[0230] Measure environmental analysis parameters, including: analyze the internal structure of the shaft, mark factors affecting signal propagation, and identify and record all potential sources of radio interference inside and outside the shaft.

[0231] Specifically, multi-point testing and data analysis

[0232] The analyzer was placed on different floors and in different locations.

[0233] To gain a comprehensive understanding of the network status within the shaft, a professional wireless signal analyzer is required to conduct multi-point tests at different floors and locations. Selecting representative test points is crucial; these points should cover all parts of the shaft, including but not limited to:

[0234] Car top (car roof): This is one of the most direct installation locations, providing firsthand data on signal propagation within the hoistway. Hoistway bottom: Understanding signal strength and its variations at the bottom level is crucial, especially for indirect bridging schemes. Intermediate levels: Multiple intermediate levels are selected for testing to capture signal trends with height. Equipment room: If an indirect bridging scheme is planned, signal quality within the equipment room is also a key evaluation point.

[0235] This approach ensures the comprehensiveness and accuracy of the assessment results, avoiding misjudgments caused by the characteristics of local areas.

[0236] Measure network condition parameters

[0237] Measuring network condition parameters within the wellbore

[0238] Using specialized tools and equipment, measure and record network parameters within the shaft, including the following:

[0239] 4G / 5G Signal Strength (RSSI): Measures the signal power received at the receiver, measured in dBm. A higher RSSI value indicates a stronger signal; typically, ≥ -70 dBm is considered a good signal. Signal-to-Noise Ratio (SNR): Represents the ratio of signal to background noise, measured in dB. A high SNR means clearer signal transmission and reduced bit error rate; typically, ≥ 20 dB is ideal. Signal-to-Interference-plus-Noise Ratio (SINR): The signal-to-noise ratio after considering interference factors, better reflecting actual communication performance; typically, ≥ 15 dB is a good standard. Bit Error Rate (BER): Measures the probability of errors occurring during transmission; ideally, BER should be as low as possible, typically <10^-6. Throughput: The amount of data successfully transmitted per unit of time, measured in Mbps. Downlink speeds ≥ 10 Mbps are a basic requirement. Latency: The time required from transmission to reception, measured in ms. Lower latency is beneficial for real-time applications; typically, ≤ 100 ms is ideal. Jitter: Describes the degree of variation in latency, measured in ms. Stable jitter helps ensure the quality of audio and video streams; generally, ≤ 30 ms is considered a good standard.

[0240] These parameters provide quantitative information about the network performance within the shaft and form the basis for assessing network condition.

[0241] Measure environmental analysis parameters

[0242] Analysis of the internal structure of the shaft

[0243] In addition to technical parameters, a detailed analysis of the internal structure of the shaft is also required, identifying factors that affect signal propagation. This includes, but is not limited to:

[0244] Metal wall reflection and shielding effects: Metal shaft walls may reflect or shield wireless signals, affecting signal propagation paths. Assess the degree of reflection and shielding to determine if additional measures (such as optimizing antenna position or angle) are needed. Physical obstacles: Mechanical equipment and other fixed installations within the shaft may block or absorb wireless signals. Identify the location and type of these obstacles and consider how to avoid them. Space constraints: Limited space within the shaft affects the selection of equipment installation locations and the difficulty of wiring. Assess available space to ensure the feasibility of equipment installation and wiring.

[0245] Identify and record potential sources of radio interference: Identifying and recording all potential sources of radio interference inside and outside the shaft is crucial for ensuring network stability. Interference sources may originate from:

[0246] Other wireless devices: such as Wi-Fi routers, Bluetooth devices, or other wireless sensor systems. Electrical equipment: such as motors, frequency converters, etc., generating electromagnetic interference. External environment: nearby base stations, microwave towers, etc., may also cause interference.

[0247] Through detailed on-site investigation and spectrum analysis, the specific locations and frequency ranges of these interference sources were identified, and corresponding avoidance measures were taken (such as adjusting the operating frequency band and adding shielding materials).

[0248] Integration and Comprehensive Evaluation: The above measurement data will be compiled and summarized into a complete report. Charts or graphs will be used to visually display signal changes at different locations and time periods to aid subsequent analysis. A data table will be created listing the location of each test point and its corresponding parameter values; a heat map will be drawn to show the signal intensity distribution within the wellbore; parameter fluctuations at different times of the day will be recorded to help identify periodic interference sources.

[0249] In some embodiments of this application, the step of determining needs based on the evaluation results to obtain a comprehensive score involves analyzing and comparing the evaluation results with preset standards, specifically as follows:

[0250] Different weights are assigned to each parameter based on their importance. The evaluation results are compared and analyzed one by one with the pre-set standards. Specific parameters that do not meet the standards are identified, and the degree of deviation is recorded. The comprehensive score is then calculated.

[0251] Specifically, setting pre-defined standards: First, a clear and quantifiable set of technical evaluation standards needs to be established to measure whether the network environment within the shaft meets the requirements for directly deploying a 4G router. These standards should cover all key parameters and set specific pass / fail thresholds or ideal ranges for each parameter. For example:

[0252] 4G / 5G Signal Strength (RSSI): ≥ -70 dBm, Signal-to-Noise Ratio (SNR): ≥ 20 dB, Signal-to-Interference-Ratio (SINR): ≥ 15 dB, Bit Error Rate (BER): < 10^-6, Throughput: Downlink rate ≥ 10 Mbps, Latency: ≤ 100 ms, Jitter: ≤ 30 ms

[0253] For environmental analysis parameters, environmental factors such as metal wall reflection and shielding effects, physical obstacles, space constraints, electromagnetic interference sources, and temperature and humidity are considered.

[0254] Assigning different weights: Different weights are assigned to each parameter based on their importance to ensure the evaluation results are both comprehensive and targeted. The weight allocation reflects the key contribution of each parameter to the overall network performance. For example:

[0255] 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 effect: 15%, Physical obstacles: 10%, Space constraints: 7%, Electromagnetic interference sources: 5%, Environmental factors such as temperature and humidity: 3%.

[0256] Comparative analysis

[0257] Parameters compared one by one

[0258] The actual test results are compared and analyzed one by one with the pre-set standards. 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, the differences must be recorded in detail to facilitate the development of subsequent optimization measures. For example:

[0259] If the RSSI value at a 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 significant reflection and shielding effect from the metal wall, the score may only be 40 points.

[0260] Identifying parameters that do not meet the standards

[0261] During the comparison process, specific parameters that do not meet the standards are identified, and the degree of deviation is recorded. This helps identify the main problems and provides a basis for subsequent adjustments. For example:

[0262] If the RSSI at a test point is below -70 dBm, it is marked as "Insufficient RSSI" and the specific deviation value is recorded. If there are multiple serious physical obstacles, it is marked as "Severe Impact of Physical Obstacles".

[0263] Calculate the overall score

[0264] Convert to fractions

[0265] Based on the established scoring criteria, the actual measured value of each parameter is converted into a score. For example:

[0266] RSSI: ≥ -60 dBm: 100 points

[0267] -60 dBm to -70 dBm: 80 minutes

[0268] -70 dBm to -80 dBm: 60 minutes

[0269] <-80 dBm: 40 minutes

[0270] SNR: ≥ 25 dB: 100 points

[0271] 20 dB to 25 dB: 80 minutes

[0272] 15 dB to 20 dB: 60 minutes

[0273] <15 dB: 40 minutes

[0274] Metal wall reflection and shielding effect: Strong reflection / significant shielding effect: 40 points; Moderate reflection / shielding effect: 60 points; Weak reflection / shielding effect: 80 points; Almost no reflection / shielding effect: 100 points

[0275] Weighted average calculation

[0276] The overall score is calculated using the weighted average formula: Overall Score = ∑(Parameter Score × Weight)

[0277] Suppose the scores of the parameters at a certain test point are as follows: 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%).

[0278] Metal wall reflection and shielding effect: 80 points (weight 15%), physical obstacles: 90 points (weight 10%), space constraints: 85 points (weight 7%), electromagnetic interference sources: 85 points (weight 5%), environmental factors such as temperature and humidity: 90 points (weight 3%).

[0279] The overall score is: Overall 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

[0280] Decision-making rules

[0281] Based on a comprehensive score, clear decision-making rules are established: A comprehensive score ≥ 80 points indicates that the network environment within the shaft is suitable for direct deployment of a 4G router. In this case, a 4G router can be directly installed on the car roof and powered by PoE, ensuring simplicity and efficiency. Simultaneously, the antenna angle and direction are adjusted to optimize signal coverage, and final functional tests are conducted to verify communication quality and stability.

[0282] Overall score <80 points: Some unfavorable conditions exist; it is recommended to switch to an indirect bridging solution or take other optimization measures. In this case, 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 using the elevator's traveling cable channel. The CPE transmitter should be fixed in a suitable position in the shaft, facing downwards for signal reception. A corresponding receiving device should be installed on the car top and connected to a switch to distribute signals across multiple elevators. The communication performance of the entire system should be tested to ensure no blind spots and stable, reliable signal.

[0283] Special case handling: For cases approaching the critical value (e.g., a score close to 80), additional tests can be conducted to obtain more data to support the final decision. Even if most parameters meet the standards, if a key parameter (such as RSSI or metal wall reflection) is significantly insufficient, caution should be exercised, and further optimization or remedial measures may be necessary.

[0284] In some embodiments of this application, assigning different weights to each parameter based on their importance specifically involves:

[0285] Determine the weighting ratio between the network condition parameters and the environmental analysis parameters;

[0286] Determine the weights of the first sub-parameter set included in the network condition parameters and the weights of the second sub-parameter set included in the environmental analysis parameters;

[0287] Based on the weight ratio, the weight of the first sub-parameter set, and the weight of the second sub-parameter set.

[0288] Specifically, the weighting ratio between network condition parameters and environmental analysis parameters is determined.

[0289] First, it is necessary to determine the overall weighting ratio between network condition parameters (such as signal strength and signal-to-noise ratio) and environmental analysis parameters (such as metal wall reflection and shielding effects, physical obstacles, etc.). This step aims to balance the impact of technical performance and actual environmental conditions on the overall network quality.

[0290] Total weight of network condition parameters: 60%. Network condition parameters directly reflect the quality of wireless communication, so they usually account for a high weight ratio.

[0291] The total weight of environmental analysis parameters is 40%. Although environmental analysis parameters are not direct technical indicators, they have an important impact on signal propagation and therefore have a certain weight.

[0292] Determine the weights of the first subset of parameters (network condition parameters).

[0293] The network condition parameters are further subdivided into multiple first-level sub-parameter sets, each assigned a different weight based on its critical contribution to communication quality. The specific allocation is as follows:

[0294] Signal Strength (RSSI): 25% (accounting for 41.7% of the total weight of network condition parameters), directly affects signal coverage and reception quality, and is one of the most important indicators.

[0295] Signal-to-Noise Ratio (SNR): 18% (30.0% of total network condition parameters). High SNR means clearer signal transmission and reduced bit error rate, which is crucial for communication quality. Signal-to-Interference Ratio (SINR): 12% (20.0% of total network condition parameters). This SNR accounts for interference factors and better reflects actual communication performance. Bit Error Rate (BER): 5% (8.3% of total network condition parameters). Although important, it is usually correlated with other parameters, so its weight is slightly lower. Throughput: 4% (6.7% of total network condition parameters). This affects data transmission rate and is very important for some applications. Latency: 3% (5.0% of total network condition parameters). This is crucial for real-time applications (such as video surveillance and voice calls), but has a smaller impact on general data transmission. Jitter: 3% (5.0% of total network condition parameters). This mainly affects the quality of audio and video streams in real-time applications and has the lowest weight.

[0296] Determine the weights of the second sub-parameter set (environmental analysis parameters).

[0297] The environmental analysis parameters are further subdivided into multiple sets of second sub-parameters, each assigned a different weight based on its critical contribution to communication quality. The specific allocation is as follows:

[0298] Metal wall reflection and shielding effect: 15% (37.5% of the total weight of environmental analysis parameters). Metal shaft walls 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 installations within the shaft may block or absorb wireless signals. Space constraints: 7% (17.5% of the total weight of environmental analysis parameters). Limited space within the shaft can affect the selection of equipment installation locations and the difficulty of wiring. Electromagnetic interference sources: 5% (12.5% ​​of the total weight of environmental analysis parameters). Electrical equipment from 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 operating status and performance of wireless equipment.

[0299] Based on the weight ratio, the weights of the first sub-parameter set, and the weights of the second sub-parameter set.

[0300] Through the steps outlined above, the overall weighting ratio between network condition parameters and environmental analysis parameters, as well as the specific weighting allocation within each parameter, have been determined. Next, these weights will be applied to the specific evaluation results to calculate the overall score.

[0301] For example, suppose the scores for each parameter at a certain test point are:

[0302] Network status parameters

[0303] RSSI: 60 (weight 25%), SNR: 80 (weight 18%), SINR: 70 (weight 12%), BER: 90 (weight 5%), Throughput: 85 (weight 4%), Latency: 95 (weight 3%), Jitter: 85 (weight 3%)

[0304] Environmental analysis parameters

[0305] Metal wall reflection and shielding effect: 80 points (weight 15%), physical obstacles: 90 points (weight 10%), space constraints: 85 points (weight 7%), electromagnetic interference sources: 85 points (weight 5%), environmental factors such as temperature and humidity: 90 points (weight 3%)

[0306] The overall score is: Overall 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

[0307] This method assigns different weights to each parameter based on their importance, ensuring that the evaluation results are both comprehensive and targeted. This weighted scoring system not only covers the technical assessment of network conditions but also fully considers the impact of the shaft's internal structure and environmental characteristics, providing a solid basis for subsequent demand assessment and deployment scheme selection.

[0308] In some embodiments of this application, the step of selecting the corresponding deployment scheme based on the comprehensive score specifically includes:

[0309] The comprehensive score is calculated by weighted average, and the specific formula is: Comprehensive score = ∑(parameter score × weight);

[0310] If the overall score is not lower than the preset score, the direct deployment scheme is selected; if the overall score is lower than the preset score, the indirect bridging scheme is selected.

[0311] Specifically, the comprehensive score is calculated using a weighted average.

[0312] The formula for calculating the overall score is: Overall Score = ∑(Parameter Score × Weight)

[0313] Wherein: 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 wellbore by multiplying each parameter score by its corresponding weight and summing the results. This method ensures that the evaluation results are both comprehensive and targeted, accurately reflecting the impact of each parameter on network performance.

[0314] Determine the preset score

[0315] Before selecting a deployment plan, a clear preset score (threshold) needs to be set to differentiate between different levels of overall evaluation. For example:

[0316] Preset score: 80 points

[0317] This threshold should be adjusted based on preset standards and actual test data to ensure its rationality and scientific validity.

[0318] Select deployment plan

[0319] Based on the comparison between the calculated overall score and the preset score, select the corresponding deployment plan:

[0320] The overall score is no lower than the preset score (≥ 80 points).

[0321] If the overall score reaches or exceeds the preset score, the direct deployment option will be selected. This means that the network environment within the shaft is relatively ideal, and a 4G router can be installed directly without additional measures. The specific steps are as follows:

[0322] Installation Location Selection: The car roof was selected as the optimal installation location for the 4G router, ensuring it is in an open area and free from obstructions that could affect signal reception. PoE Power Supply Configuration: Power over Ethernet (PoE) technology was used to power the 4G router, simplifying power line layout and improving installation efficiency. Antenna Optimization: The direction of the 4G router's external antenna was adjusted according to the specific conditions of the shaft to ensure optimal signal coverage. Functional Testing: Comprehensive functional testing was conducted to verify communication quality and stability, ensuring the system operates normally.

[0323] The overall score is lower than the preset score (<80 points).

[0324] If the overall score is lower than the preset score, the indirect bridging scheme is selected. This indicates that there are some unfavorable conditions in the shaft, such as insufficient signal strength, significant reflection and shielding effects, etc., therefore, an indirect bridging method is needed to overcome these problems. The specific steps are as follows:

[0325] 4G Router Deployment in the Machine Room: Install a 4G router in the machine room on the top of the building or near the elevator control center to ensure good external signal reception. Bridge Equipment Selection: Select high-performance CPE bridge equipment with strong penetration capabilities and long-distance transmission characteristics to ensure effective signal transmission from the machine room to the bottom of the shaft. Cabling and Fixing: Lay dedicated data transmission cables using the existing elevator traveling cable channels. Fix the CPE transmitter in a suitable location within the shaft, typically a certain distance above the car, facing downwards for easy signal reception. Simultaneously, install a corresponding receiving device on the car roof and connect it to a switch to distribute signals across multiple elevators. Communication Performance Testing: Conduct comprehensive testing of the entire system's communication performance to ensure no blind spots and stable, reliable signal.

[0326] Special case handling: For cases approaching the critical value (e.g., a score close to 80), additional tests can be conducted to obtain more data to support the final decision. Even if most parameters meet the standards, if a key parameter (such as RSSI or metal wall reflection) is significantly insufficient, caution should be exercised, and further optimization or remedial measures may be necessary.

[0327] Dynamic adjustment strategy: Considering that the network environment within the shaft may change over time, an adaptive algorithm is developed to monitor these changes in real time and dynamically adjust communication parameters (such as power control and frequency switching) according to the actual situation. This can significantly improve the network's flexibility and robustness, adapting to constantly changing operating conditions.

[0328] Long-term monitoring and feedback mechanism: Regardless of the deployment solution chosen, a long-term monitoring platform is necessary to monitor the network status of each node in real time, automatically alert to anomalies, ensure stable system operation, 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 upgrades.

[0329] A single-elevator, single-building network bridging communication assurance system includes:

[0330] The evaluation module assesses the silo network status based on silo network strength and silo environment to obtain evaluation results. The silo network strength is obtained by testing the 4G / 5G signal within the silo, and the silo environment is obtained by analyzing the internal structure of the silo. The judgment module performs demand judgment based on the evaluation results to obtain a comprehensive score. The demand judgment is based on the analysis and comparison of the evaluation results with preset standards. The selection module selects the corresponding deployment scheme based on the comprehensive score.

[0331] According to one embodiment of this application, the evaluation module specifically comprises:

[0332] The analyzer was placed on different floors and in different locations to conduct multi-point tests; it was 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 shaft; the internal structure of the shaft was analyzed, factors affecting signal propagation were marked, and all potential radio interference sources existing inside and outside the shaft were identified and recorded.

[0333] A second aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the disconnection and reconnection method of the intelligent embedded device remote management system in any of the first aspects described above.

[0334] Figure 2 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 2As shown, the electronic device may include: a processor 810, a communications interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute the single-elevator single-building network bridging communication guarantee method in any embodiment of the first aspect described above, the method including:

[0335] The silo network status is evaluated based on silo network strength and silo environment to obtain evaluation results. The silo network strength is obtained by testing the 4G / 5G signal within the silo, and the silo environment is obtained by analyzing the internal structure of the silo. Based on the evaluation results, a demand judgment is made to obtain a comprehensive score. The demand judgment is based on the analysis and comparison of the evaluation results with preset standards. Based on the comprehensive score, the corresponding deployment scheme is selected.

[0336] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0337] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program that can be stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is able to execute the single-elevator single-building network bridging communication guarantee method provided by the above methods, the method comprising:

[0338] Heartbeat checks are performed on both the client and device at preset intervals, and the TCP connection status is checked to determine if a disconnection has occurred. Disconnection scenarios are categorized into WiFi signal problems, IP address changes, and device restarts or network configuration changes. Different reconnection methods are selected based on the specific disconnection scenario, including: a fast reconnection strategy, an exponential backoff algorithm, and connecting using a new IP address. The fast reconnection strategy addresses WiFi signal problems, the exponential backoff algorithm addresses device restarts or network configuration changes, and connecting using a new IP address addresses IP address changes.

[0339] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the single-elevator single-building network bridging communication guarantee method provided by the above methods, the method comprising:

[0340] Heartbeat checks are performed on both the client and device at preset intervals, and the TCP connection status is checked to determine if a disconnection has occurred. Disconnection scenarios are categorized into WiFi signal problems, IP address changes, and device restarts or network configuration changes. Different reconnection methods are selected based on the specific disconnection scenario, including: a fast reconnection strategy, an exponential backoff algorithm, and connecting using a new IP address. The fast reconnection strategy addresses WiFi signal problems, the exponential backoff algorithm addresses device restarts or network configuration changes, and connecting using a new IP address addresses IP address changes.

[0341] Example 2

[0342] Deployment of an IoT system for elevators in a high-rise office building

[0343] Scene Description

[0344] A high-rise office building plans to upgrade the IoT functionality of its elevator system to improve building automation and user experience. The 20-story building has metal elevator shafts containing various electrical devices (such as motors and control panels), and some floors experience strong Wi-Fi signal interference. Furthermore, the building is located in the city center, surrounded by several tall buildings, which may contribute to additional radio interference.

[0345] Evaluation steps

[0346] Test tool selection

[0347] A comprehensive test of 4G / 5G signals inside the shaft was conducted using professional wireless signal analyzers (such as QualiPoc and Metagear).

[0348] Testing time: Considering signal fluctuations, multiple tests were conducted at different times of the day (such as 8:00 AM, 12:00 PM, and 8:00 PM) to ensure the comprehensiveness and accuracy of the data.

[0349] Multi-point testing and data analysis

[0350] Multiple tests were conducted at the top of the car (car roof), the bottom of the hoistway, and several floors in the middle (such as the 5th, 10th, and 15th floors).

[0351] Record the following key parameters for each test point:

[0352] 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

[0353] Environmental Analysis

[0354] Analysis of the shaft's internal structure revealed significant reflection and shielding effects from the metal walls, particularly severe signal attenuation at the shaft's bottom. All factors potentially affecting signal propagation were marked, including the location of mechanical equipment and potential sources of radio interference (such as nearby Wi-Fi routers). A 3D model of the shaft was created, marking the locations of all fixed devices, and a signal transmission path was designed to bypass obstacles. All potential sources of radio interference both inside and outside the shaft were identified and recorded, and shielding and filtering measures were implemented to reduce their impact.

[0355] Comprehensive score calculation

[0356] The above measurement data will be scored according to the established standards and weighting:

[0357] Network condition parameter score:

[0358] RSSI: 60 (weight 25%), SNR: 80 (weight 18%), SINR: 70 (weight 12%), BER: 100 (weight 5%), Throughput: 80 (weight 4%), Latency: 80 (weight 3%), Jitter: 70 (weight 3%)

[0359] Environmental analysis parameter scores: Metal wall reflection and shielding effect: 60 points (weight 15%), Physical obstacles: 80 points (weight 10%), Space constraints: 75 points (weight 7%), Electromagnetic interference sources: 70 points (weight 5%), Environmental factors such as temperature and humidity: 85 points (weight 3%).

[0360] The overall score is: Overall 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

[0361] Deployment Decision

[0362] Since the overall score is 78.8, which is lower than the preset threshold of 80, an indirect bridging solution is recommended:

[0363] Deploy 4G routers in the server room: Install 4G routers in the server room on the top of the building or near the elevator control center to ensure good external signal reception conditions.

[0364] Bridge equipment selection: High-performance CPE bridge equipment is selected, which has strong penetration ability and long-distance transmission characteristics to ensure effective signal transmission from the computer room to the bottom of the shaft.

[0365] Wiring and Fixing: A dedicated data transmission cable is laid using the existing elevator traveling cable channel. The CPE transmitter is fixed in a suitable location within the shaft, typically a certain distance above the car, facing downwards for signal reception. Simultaneously, a corresponding receiving device is installed on the car roof and connected to a switch to distribute signals across multiple elevators.

[0366] Communication Performance Testing: A comprehensive test of the entire system's communication performance is conducted to ensure no blind spots and stable, reliable signal. This includes testing actual communication quality through methods such as uploading and downloading large files and using the Ping command, and recording the values ​​of various parameters.

[0367] Subsequent optimization measures: Considering the overall score is close to the critical value, additional tests can be conducted to obtain more data to support the final decision. Simultaneously, for certain key parameters (such as RSSI and SNR), the antenna installation position or angle can be further optimized to reduce the impact of reflection and shielding effects. Furthermore, 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 these interferences, thereby optimizing wireless communication quality and ensuring stable network operation.

[0368] Dynamic adjustment strategy: Develop adaptive algorithms to monitor changes in the network environment within 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.

[0369] 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 for abnormal situations, collect user feedback, and continuously improve service quality and user experience.

[0370] Through long-term data accumulation, valuable experience and data support can also be provided for future optimization and upgrades.

[0371] Simulated failure scenarios: Design and implement simulated failure scenario tests to verify the system's response capability and recovery mechanism under extreme conditions, optimize emergency plans, and ensure reliable communication support under any circumstances.

[0372] Integrating edge computing capabilities: To address future technological trends, edge computing capabilities are integrated into the elevator IoT system, enabling some data processing tasks to be completed locally, reducing latency and improving user experience. With the widespread adoption of 5G networks, existing equipment will be upgraded to support 5G communication protocols in a timely manner to enjoy faster and more stable data transmission services.

[0373] For any parts not mentioned in this application, existing technologies may be used or referenced.

[0374] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0375] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A single ladder single tower network bridging communication guarantee method, characterized in that, The method comprises the following steps: based on the hoistway network strength and the hoistway environment, the hoistway network condition is evaluated to obtain an evaluation result, the hoistway network strength is obtained by testing the 4G / 5G signal in the hoistway, and the hoistway environment is obtained by analyzing the internal structure of the hoistway; based on the evaluation result, demand judgment is performed to obtain a comprehensive score, and the demand judgment is based on analysis and comparison between the evaluation result and a preset standard; different weights are given according to the importance of each parameter, the evaluation result is compared and analyzed with the preset standard one by one, the specific parameters that do not meet the standard are identified, the deviation degree is recorded, and the comprehensive score is calculated; the different weights given according to the importance of each parameter are as follows: the weight ratio between the network condition parameters and the environment analysis parameters is determined; the weight of the first sub-parameter set included in the network condition parameters and the weight of the second sub-parameter set included in the environment analysis parameters are determined; based on the comprehensive score, a corresponding deployment scheme is selected, and specifically: the comprehensive score is calculated by weighted average, and the specific formula is: comprehensive score = ∑(parameter score × weight); the comprehensive score is not less than a preset score, a direct deployment scheme of deploying a 4G router on the top of the car is selected; the comprehensive score is less than the preset score, an indirect bridging scheme of deploying a 4G router in the machine room is selected.

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

3. A single-ladder single-tower network bridging communication assurance system, executing the method of claim 1, wherein, The method comprises the following steps: an evaluation module is used to evaluate the hoistway network condition based on the hoistway network strength and the hoistway environment to obtain an evaluation result, the hoistway network strength is obtained by testing the 4G / 5G signal in the hoistway, and the hoistway environment is obtained by analyzing the internal structure of the hoistway; a judgment module is used to perform demand judgment based on the evaluation result to obtain a comprehensive score, and the demand judgment is based on analysis and comparison between the evaluation result and a preset standard; a selection module is used to select a corresponding deployment scheme based on the comprehensive score.

4. The system of claim 3, wherein, The evaluation module is further used for: the analyzer is placed at different floors and positions for multi-point testing; 4G / 5G signal strength, signal-to-noise ratio, signal-to-interference ratio, bit error rate, throughput, delay and jitter parameters in the hoistway are measured; the internal structure of the hoistway is analyzed, the factors affecting signal propagation are marked, and all potential radio interference sources inside and outside the hoistway are identified and recorded. 5.An electronic device comprising a memory and a processor, the memory storing a computer program, wherein, The processor executes the computer program to implement the steps in the method of any one of claims 1 to 2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps in the method of any one of claims 1 to 2.

7. A computer program product comprising instructions which, when executed on a device, characterised in that, The device is caused to perform the steps in the method of any one of claims 1 to 2.

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