Differential pressure monitoring and closed-loop elevator door control system based on internet of things

Abstract

The application discloses a differential pressure monitoring and closed linkage elevator door control system based on the Internet of Things, and relates to the technical field of elevator control.The application solves the problem of not monitoring in combination with the elevator operation state and the problem of irrelevant floor air pressure data interfering with the control logic.The application realizes the precision and differentiation of early warning and linkage control, and improves the pertinence and reliability of system protection through multi-region smooth trend segment comparison and verification.The comprehensive verification end calculates the pre-verification proportion and the post-verification proportion through smooth trend segment splicing and multi-group translation comparison, and accurately quantifies the over-standard degree of the air pressure difference in different regions.The early warning control end outputs differentiated control signals based on different combinations of verification proportions, avoids the "one-size-fits-all" linkage control mode in the prior art, effectively prevents safety hazards such as smoke intrusion caused by air pressure abnormalities, avoids unnecessary elevator shutdown, and ensures normal operation efficiency of the elevator.

Description

Technical Field

[0001] This invention relates to the field of elevator control technology, specifically to an elevator door control system based on Internet of Things (IoT) differential pressure monitoring and airtight linkage. Background Technology

[0002] Background Technology: With the advancement of urbanization, the number of high-rise buildings (office buildings, residential buildings, commercial complexes, etc.) has increased significantly. As a core special equipment for vertical passage of people in high-rise buildings, the operational safety and smoke protection performance of elevators are directly related to the safety of people's lives, especially their protective effect in emergency scenarios such as fires. This has become a key focus in the field of building safety. The normal air pressure difference between the elevator lobby and the corridor should be maintained at 25-30 Pa to create positive pressure protection, preventing smoke from spreading through the elevator lobby and elevator shaft during a fire, thus buying valuable time for evacuation.

[0003] Currently, air pressure monitoring and linkage control in elevator areas of high-rise buildings mostly adopt traditional single monitoring modes, which have many adaptability defects and are difficult to meet the safety requirements of actual application scenarios. On the one hand, existing technologies mostly only monitor air pressure in a single area of ​​the elevator lobby, ignoring the coordinated influence of air pressure in corridors, elevator shafts, and the lobby. However, in high-rise buildings, elevator operation, dense personnel entry and exit, and fan start-up and shutdown all cause instantaneous fluctuations in air pressure in various areas. Single-area monitoring cannot comprehensively reflect the air pressure distribution and is prone to monitoring errors. On the other hand, existing air pressure judgments mostly rely on instantaneous air pressure values ​​without scientifically analyzing air pressure change trends. This makes them susceptible to interference from instantaneous fluctuations, leading to misjudgments and false linkages. Either they fail to detect potential air pressure anomalies in a timely manner and cannot effectively prevent smoke intrusion, or excessive linkage causes unnecessary elevator shutdowns, affecting the normal passage efficiency of personnel.

[0004] Furthermore, existing control systems lack targeted verification and comparison mechanisms, making it impossible to accurately quantify the degree of exceedance of air pressure differences in different areas. Their linkage control modes are relatively simplistic, often employing a "one-size-fits-all" approach, failing to output differentiated control signals based on the coordinated air pressure status of the lobby, corridors, and elevator shafts, resulting in weak targeted protection. Simultaneously, some systems do not specifically monitor elevator operating status (such as the floor reached), and air pressure data from irrelevant floors can easily interfere with the control logic, leading to delayed linkage responses and failing to meet the precise protection needs of multi-floor, multi-scenario applications in high-rise buildings. In addition, the complex environment of elevator shafts in high-rise buildings makes air pressure monitoring susceptible to interference. Existing systems have low levels of intelligence, often requiring manual intervention for monitoring and linkage control, resulting in high maintenance costs and low efficiency, making them unsuitable for the large-scale, refined safety management needs of high-rise buildings. Therefore, developing a precise and efficient elevator door air pressure linkage control system adapted to the application scenarios of high-rise buildings has become an urgent technical problem to be solved. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an elevator door control system based on Internet of Things (IoT) differential pressure monitoring and airtight linkage, which solves the problem that air pressure data from irrelevant floors can easily interfere with the control logic if targeted monitoring is not performed in conjunction with the elevator's operating status.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an elevator door control system based on Internet of Things (IoT) differential pressure monitoring and airtight linkage, comprising: The pressure monitoring terminal monitors the air pressure in the elevator lobbies, corridors, and elevator shafts associated with different floors in real time. The main monitoring center monitors the elevator in real time during operation and, based on the monitored elevator parameters, confirms the set floor the elevator is scheduled to reach during operation. At the pressure parameter processing end, based on the determined floor level, the air pressure parameters associated with that floor are analyzed and processed. Then, the air pressure parameter change curves associated with different locations are determined, and segments with similar characteristics are identified. From these segments, stable trend segments are then identified. The specific method is as follows: Using the current time as the calibration time, a set of tracing cycles is confirmed. The tracing cycle is a preset cycle. The air pressure parameters associated with the elevator lobby, corridor and elevator shaft are extracted within the tracing cycle. Using the time line as the horizontal axis and the air pressure parameters as the vertical axis, the air pressure parameter change curves associated with the corresponding locations are confirmed. The air pressure parameter change curves belonging to the elevator lobby are recorded as the lobby change curves, and the air pressure parameter change curves belonging to the corridor and elevator shaft are recorded as the corridor change curves and elevator shaft change curves, respectively. The determined anteroom change curve, corridor change curve, and elevator shaft change curve are all recorded as change curves to be processed. The characteristic trend segments associated with the change curves to be processed are determined: starting from the starting point of the change curve to be processed, the change trend of adjacent points is confirmed step by step, the interval C between the starting point and adjacent points is identified, and the air pressure parameter associated with the starting point is recorded as QY1, and the air pressure parameter associated with the subsequent adjacent points is recorded as QY2. The change trend is calculated as: (QY2-QY1)÷C=change trend. Starting from the starting point of the change curve to be processed, the subsequent confirmed change trends are sorted step by step to confirm the change trend sequence. Starting with the first trend in the trend sequence, identify the trend difference between the first trend and its adjacent trends, ensuring that the trend difference is ≥ 0. If the trend difference is ≤ Y1, where Y1 is a preset value, the curve segment associated with the first trend and the adjacent trend is recorded as the same characteristic trend segment. Then, starting from the second trend, the trend difference is confirmed with the third trend. If the trend difference still satisfies: trend difference ≤ Y1, the curve segment associated with the first three trends is recorded as the same characteristic trend segment. Otherwise, the previously confirmed same characteristic trend segment remains unchanged. Then, starting from the third trend, the same characteristic trend segment is confirmed with the fourth trend, and so on, dividing the different curve segments associated with the trend sequence into different same characteristic trend segments. If the trend difference is greater than Y1, then confirm the trend from the second group onwards and identify trend segments with the same characteristics. Based on the characteristic trend segments marked within the curves to be processed, the characteristic trend segments belonging to the same group of curves to be processed are recorded as the same curve trend segments. The trend associated with a single characteristic trend segment is averaged and recorded as the trend characteristic of the same characteristic trend segment. Within the same trend segment, different trend features belonging to the same trend segment are labeled, and trend features that satisfy: trend feature ≤ 2 are denoted as stationary features, and the curve segments associated with stationary features are denoted as stationary trend segments. The comprehensive verification end fits the locked-in stable trend segments within the curves of different air pressure parameter changes into verification stable segments, and compares and verifies the verification stable segments belonging to different air pressure parameter change curves to confirm the verification ratio associated with the verification process. The specific method is as follows: Based on the steady trend segments marked in the anterior chamber change curve, the discontinuous steady trend segments are spliced ​​together, so that the subsequent discontinuous steady trend segments are shifted forward until the end time and the initial time associated with the preceding and following steady trend segments coincide. After splicing multiple sets of steady trend segments of the anterior chamber change curve, the verification steady segment of the anterior chamber change curve is obtained and recorded as the anterior chamber steady segment. Then, the verification steady segments associated with the corridor change curve and the elevator shaft change curve are recorded as the corridor steady segment or the elevator shaft steady segment in turn. The aisle and anterior chamber stable sections are placed in the same two-dimensional coordinate system, ensuring that the center points associated with the two stable sections are at the same moment. The anterior chamber stable section is then controlled to translate left and right, with the associated translation time range being ±30s. Several sets of left and right translation processes are executed, and the translation characteristics associated with each set of translation processes are confirmed. The air pressure parameters at the same moment in the aisle and anterior chamber stable sections are denoted as ZY. i and QY i Where i represents different times, and cz is used. i =(ZY i -QY i Confirm the air pressure difference value cz i If czi If ∈[20, 30], then the corresponding time is recorded as the standard time; otherwise, the corresponding time is recorded as the time exceeding the standard. The associated duration in the corresponding translation process is determined. The associated time in the associated duration has air pressure parameters in both the stable section of the corridor and the stable section of the anterior chamber. The time exceeding the standard in the time exceeding the standard is recorded. The following formula is used: Time exceeding the standard ÷ Associated duration = Translation feature. The translation feature associated with the corresponding translation process is confirmed. From the different translation features associated with different translation processes, the maximum value is selected. The translation process associated with the maximum value is recorded as the standard process. The translation feature associated with the standard process is recorded as the pre-verification ratio. Based on the fact that the position of the stable section of the anteroom remains unchanged in the standard process, the center point associated with the stable section of the elevator shaft and the previous stable section is translated to the same time. Then, the same processing method is used to perform several sets of translation processes on the stable section of the anteroom to translate the stable section of the elevator shaft. The different translation characteristics associated with different translation processes are confirmed, and the maximum value is selected. The translation characteristic associated with the maximum value is recorded as the post-verification ratio. The early warning control terminal compares the confirmed verification ratio with the preset ratio and outputs and displays the corresponding early warning signal based on the verification result; specifically including: If the pre-verification ratio is ≥30% and the post-verification ratio is <30%, then an anterior chamber pressure warning signal will be generated and displayed. If the pre-verification ratio is <30% and the post-verification ratio is ≥30%, an elevator shaft air pressure warning signal will be generated and displayed. If the pre-verification ratio is ≥30% and the post-verification ratio is ≥30%, an elevator closing signal will be generated, and the elevator door will be controlled to close. If the pre-verification ratio is less than 30% and the post-verification ratio is less than 30%, no processing is required.

[0007] This invention provides an elevator door control system based on Internet of Things (IoT) for differential pressure monitoring and airtight linkage. Compared with existing technologies, it has the following advantages: By setting a traceability period and constructing multi-regional air pressure parameter change curves, and then by determining the trend difference, dividing the trend segments with the same characteristics, and processing the trend feature mean, the stable trend segments are accurately locked. This effectively avoids the shortcomings of existing technologies that rely directly on instantaneous air pressure values ​​and are easily affected by instantaneous fluctuations. It can accurately capture the true stable state of air pressure parameters and provide accurate feature basis for subsequent verification and comparison. By comparing and verifying stable trend segments across multiple regions, the system achieves precise and differentiated early warning and linkage control, enhancing the targetedness and reliability of system protection. The comprehensive verification end uses stable trend segment splicing and multiple sets of translational comparisons to calculate the pre-verification ratio (corridor and vestibule) and post-verification ratio (elevator shaft and vestibule) respectively, accurately quantifying the degree of exceedance of air pressure differences in different areas. Based on different combinations of verification ratios, the early warning control end outputs differentiated control signals (vestibule air pressure warning, elevator shaft air pressure warning, elevator shutdown signal, or no processing), avoiding the "one-size-fits-all" linkage control mode in existing technologies. This effectively prevents safety hazards such as smoke intrusion caused by abnormal air pressure, avoids unnecessary elevator shutdowns, and ensures the normal operating efficiency of the elevator. Attached Figure Description

[0008] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0009] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0010] First Embodiment Please see Figure 1 This application provides an elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage, including a pressure parameter monitoring terminal, a main monitoring center, a pressure parameter processing terminal, a comprehensive verification terminal, and an early warning control terminal. The main monitoring center and the pressure parameter monitoring terminal are electrically connected to the input node of the pressure parameter processing terminal, and the pressure parameter processing terminal, the comprehensive verification terminal, and the early warning control terminal are electrically connected sequentially from the output node to the input node. Among them, the pressure parameter monitoring terminal uses the set monitoring sensors to monitor the air pressure of the elevator lobby, corridor and elevator shaft associated with different floors in real time, and transmits the real-time monitored air pressure to the pressure parameter processing terminal. The main monitoring center monitors the elevator in real time during operation, and based on the monitored elevator parameters, confirms the set floor to be reached by the elevator during operation, and transmits the floor to the pressure parameter processing terminal. Among them, the pressure parameter processing end analyzes and processes the air pressure parameters associated with the determined floor, then determines the air pressure parameter change curves associated with different locations, and locks out the same characteristic trend segment from the determined air pressure parameter change curves, and then locks out the stable trend segment from the same characteristic trend segment. The specific method for determining the pressure parameter variation curve is as follows: Using the current time as the calibration time, a set of tracing cycles is confirmed. The tracing cycle is a preset cycle, and its specific value is determined by the operator based on experience, generally 30 minutes. The air pressure parameters associated with the elevator lobby, corridor, and elevator shaft within the tracing cycle are extracted. Using the time line as the horizontal axis and the air pressure parameters as the vertical axis, the air pressure parameter change curves associated with the corresponding locations are confirmed. The air pressure parameter change curve belonging to the elevator lobby is recorded as the lobby change curve, and the air pressure parameter change curves belonging to the corridor and elevator shaft are recorded as the corridor change curve and elevator shaft change curve, respectively. Specifically, a set of tracing cycles is confirmed by pushing back 30 minutes from the current time. Different air pressure parameters are associated with different times within the corresponding tracing cycle. Based on the real-time monitored air pressure parameters, the air pressure parameter change curves associated with the corresponding tracing cycle can be effectively confirmed. The specific method for identifying the stable trend segment from the air pressure parameter change curve is as follows: The determined anteroom change curve, corridor change curve, and elevator shaft change curve are all recorded as change curves to be processed. The characteristic trend segments associated with the change curves to be processed are determined: starting from the starting point of the change curve to be processed, the change trend of adjacent points is confirmed step by step, the interval C between the starting point and adjacent points is identified, and the air pressure parameter associated with the starting point is recorded as QY1, and the air pressure parameter associated with the subsequent adjacent points is recorded as QY2. The change trend is calculated as: (QY2-QY1)÷C=change trend. Starting from the starting point of the change curve to be processed, the subsequent confirmed change trends are sorted step by step to confirm the change trend sequence. Starting with the first trend in the trend sequence, identify the trend difference between the first trend and its adjacent trends, ensuring that the trend difference is ≥ 0. If the trend difference is ≤ Y1, Y1 is a preset value, and its specific value is determined by the operator based on experience. The curve segment associated with the first trend and the adjacent trend is recorded as the same characteristic trend segment. Then, starting from the second trend, the trend difference is confirmed with the third trend. If the trend difference still satisfies: trend difference ≤ Y1, the curve segment associated with the first three trends is recorded as the same characteristic trend segment. Otherwise, the previously confirmed same characteristic trend segment remains unchanged. Then, starting from the third trend, the same characteristic trend segment is confirmed with the fourth trend, and so on, dividing the different curve segments associated with the trend sequence into different same characteristic trend segments. If the trend difference is greater than Y1, then confirm the trend from the second group onwards and identify trend segments with the same characteristics. Specifically, the determined trend sequence is defined as {QS1, QS2, QS3, QS4, ..., QSn}. Starting with the first trend, QS1, the trend difference between QS1 and QS2 is identified. If the determined trend difference is ≤ Y1, then the curve segment associated with QS1 and QS2 belongs to the same characteristic trend segment. Then, the trend difference between QS2 and QS3 is confirmed. If the trend difference still satisfies the condition of trend difference ≤ Y1, then the curve segment associated with QS1, QS2, and QS3 is marked as the same characteristic trend segment. Otherwise, starting with QS3 and QS4, the trend difference is confirmed to identify whether the corresponding trend difference meets the corresponding evaluation criteria. Based on the evaluation process, the subsequent existing same characteristic trend segments are marked.

[0011] The specific method for identifying the stable trend segment from the air pressure parameter change curve is as follows: Based on the characteristic trend segments marked within the curves to be processed, the characteristic trend segments belonging to the same group of curves to be processed are recorded as the same curve trend segments. The trend associated with a single characteristic trend segment is averaged and recorded as the trend characteristic of the same characteristic trend segment. Within the same trend segment, different trend features belonging to the same trend segment are labeled, and trend features that satisfy: trend feature ≤ 2 are denoted as stationary features, and the curve segments associated with stationary features are denoted as stationary trend segments.

[0012] Second Embodiment In the specific implementation process, compared with the above embodiments, this embodiment mainly focuses on the comparison and processing of the stable trend segment, and its specific execution end is the comprehensive verification end; Among them, the comprehensive verification end fits the stable trend segment locked in the curve of different air pressure parameter change as the verification stable segment, and compares and verifies the verification stable segments belonging to different air pressure parameter change curves to confirm the verification ratio associated in the verification process, and transmits the determined verification ratio to the early warning control end. The specific method for performing the comparison and verification process is as follows: Based on the steady trend segments marked in the anterior chamber change curve, the discontinuous steady trend segments are spliced ​​together, so that the subsequent discontinuous steady trend segments are shifted forward until the end time and the initial time associated with the preceding and following steady trend segments coincide. After splicing multiple sets of steady trend segments of the anterior chamber change curve, the verification steady segment of the anterior chamber change curve is obtained and recorded as the anterior chamber steady segment. Then, the verification steady segments associated with the corridor change curve and the elevator shaft change curve are recorded as the corridor steady segment or the elevator shaft steady segment in turn. The aisle and anterior chamber stable sections are placed in the same two-dimensional coordinate system, ensuring that the center points associated with the two stable sections are at the same moment. The anterior chamber stable section is then controlled to translate left and right, with the associated translation time range being ±30s. Several sets of left and right translation processes are executed, and the translation characteristics associated with each set of translation processes are confirmed. The air pressure parameters at the same moment in the aisle and anterior chamber stable sections are denoted as ZY. i and QY i Where i represents different times, and cz is used. i =(ZY i -QY i Confirm the air pressure difference value cz i If cz i If ∈[20, 30] (unit is pa), then the corresponding time is recorded as the standard time; otherwise, the corresponding time is recorded as the time exceeding the standard. The associated duration in the corresponding translation process is determined. The associated time in the associated duration has air pressure parameters in both the stable section of the corridor and the stable section of the anterior chamber. The time exceeding the standard in the time exceeding the standard is recorded. The following formula is used: Time exceeding the standard ÷ Associated duration = Translation feature. The translation feature associated with the corresponding translation process is confirmed. From the different translation features associated with different translation processes, the maximum value is selected. The translation process associated with the maximum value is recorded as the standard process. The translation feature associated with the standard process is recorded as the pre-verification ratio. Based on the fact that the position of the stable section of the anteroom remains unchanged in the standard process, the center point associated with the stable section of the elevator shaft and the previous stable section is translated to the same time. Then, the same processing method is used to perform several sets of translation processes on the stable section of the anteroom to translate the stable section of the elevator shaft. The different translation characteristics associated with different translation processes are confirmed, and the maximum value is selected. The translation characteristic associated with the maximum value is recorded as the post-verification ratio.

[0013] Among them, the early warning control terminal compares the confirmed verification ratio with the preset ratio, and outputs and displays the corresponding early warning signal based on the verification result; If the pre-verification ratio is ≥30% and the post-verification ratio is <30%, then an anterior chamber pressure warning signal will be generated and displayed. If the pre-verification ratio is <30% and the post-verification ratio is ≥30%, an elevator shaft air pressure warning signal will be generated and displayed. If the pre-verification ratio is ≥30% and the post-verification ratio is ≥30%, an elevator closing signal will be generated, and the elevator door will be controlled to close. If the pre-verification ratio is less than 30% and the post-verification ratio is less than 30%, no processing is required.

[0014] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0015] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An elevator door control system based on Internet of Things (IoT) differential pressure monitoring and airtight linkage, characterized in that, include: The pressure monitoring terminal monitors the air pressure in the elevator lobbies, corridors, and elevator shafts associated with different floors in real time. The main monitoring center monitors the elevator in real time during operation and, based on the monitored elevator parameters, confirms the set floor the elevator is scheduled to reach during operation. The pressure parameter processing end analyzes and processes the air pressure parameters associated with the determined floor, then determines the air pressure parameter change curves associated with different locations, and locks out the characteristic trend segments, and then locks out the stable trend segments from the characteristic trend segments. The comprehensive verification end fits the stable trend segment locked within the curve of different air pressure parameter changes into a verification stable segment, and compares and verifies the verification stable segments belonging to different air pressure parameter change curves to confirm the verification ratio associated in the verification process. The early warning control terminal compares the confirmed verification ratio with the preset ratio and outputs the corresponding early warning signal based on the verification result.

2. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage as described in claim 1, characterized in that, The specific method for determining the pressure parameter change curve at the pressure parameter processing terminal is as follows: Using the current time as the calibration time, a set of tracing cycles is confirmed. The tracing cycle is a preset cycle. The air pressure parameters associated with the elevator lobby, corridor, and elevator shaft are extracted within the tracing cycle. Using the time line as the horizontal axis and the air pressure parameters as the vertical axis, the air pressure parameter change curves associated with the corresponding locations are confirmed. The air pressure parameter change curve belonging to the elevator lobby is recorded as the lobby change curve, and the air pressure parameter change curves belonging to the corridor and elevator shaft are recorded as the corridor change curve and elevator shaft change curve, respectively.

3. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage as described in claim 2, characterized in that, The specific method by which the pressure parameter processing terminal identifies segments with the same characteristic trend from the pressure parameter change curve is as follows: The determined anteroom change curve, corridor change curve, and elevator shaft change curve are all recorded as change curves to be processed. The characteristic trend segments associated with the change curves to be processed are determined: starting from the starting point of the change curve to be processed, the change trend of adjacent points is confirmed step by step, the interval C between the starting point and adjacent points is identified, and the air pressure parameter associated with the starting point is recorded as QY1, and the air pressure parameter associated with the subsequent adjacent points is recorded as QY2. The change trend is calculated as: (QY2-QY1)÷C=change trend. Starting from the starting point of the change curve to be processed, the subsequent confirmed change trends are sorted step by step to confirm the change trend sequence. Starting with the first trend in the trend sequence, identify the trend difference between the first trend and its adjacent trends, ensuring that the trend difference is ≥ 0. If the trend difference is ≤ Y1, where Y1 is a preset value, the curve segment associated with the first trend and the adjacent trend is recorded as the same characteristic trend segment. Then, starting from the second trend, the trend difference is confirmed with the third trend. If the trend difference still satisfies: trend difference ≤ Y1, the curve segment associated with the first three trends is recorded as the same characteristic trend segment. Otherwise, the previously confirmed same characteristic trend segment remains unchanged. Then, starting from the third trend, the same characteristic trend segment is confirmed with the fourth trend, and so on, dividing the different curve segments associated with the trend sequence into different same characteristic trend segments. If the trend difference is greater than Y1, then confirm the trend from the second group onwards and identify trend segments with the same characteristics.

4. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage according to claim 3, characterized in that, The specific method by which the pressure parameter processing terminal locks a stable trend segment from trend segments with the same characteristics is as follows: Based on the characteristic trend segments marked within the curves to be processed, the characteristic trend segments belonging to the same group of curves to be processed are recorded as the same curve trend segments. The trend associated with a single characteristic trend segment is averaged and recorded as the trend characteristic of the same characteristic trend segment. Within the same trend segment, different trend features belonging to the same trend segment are labeled, and trend features that satisfy: trend feature ≤ 2 are denoted as stationary features, and the curve segments associated with stationary features are denoted as stationary trend segments.

5. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage as described in claim 1, characterized in that, The specific method for fitting the verification stationary segment in the comprehensive verification terminal is as follows: Based on the marked stable trend segments within the antecord change curve, the discontinuous stable trend segments are spliced ​​together, and subsequent discontinuous stable trend segments are shifted forward until the end time and initial time associated with the preceding and following stable trend segments coincide. After splicing multiple sets of stable trend segments of the antecord change curve, the verified stable segment of the antecord change curve is obtained and recorded as the antecord stable segment. Then, the verified stable segments associated with the corridor change curve and the elevator shaft change curve are sequentially recorded as the corridor stable segment or the elevator shaft stable segment.

6. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage as described in claim 5, characterized in that, The specific method by which the comprehensive verification terminal compares and verifies the verification of the stable segment is as follows: The aisle and anterior chamber stable sections are placed in the same two-dimensional coordinate system, ensuring that the center points associated with the two stable sections are at the same moment. The anterior chamber stable section is then controlled to translate left and right, with the associated translation time range being ±30s. Several sets of left and right translation processes are executed, and the translation characteristics associated with each set of translation processes are confirmed. The air pressure parameters at the same moment in the aisle and anterior chamber stable sections are denoted as ZY. i and QY i Where i represents different times, and cz is used. i =(ZY i -QY i Confirm the air pressure difference value cz i If cz i If ∈[20, 30], then the corresponding time is recorded as the standard time; otherwise, the corresponding time is recorded as the time exceeding the standard. The associated duration in the corresponding translation process is determined. The associated time within the associated duration has air pressure parameters in both the stable section of the corridor and the stable section of the anterior chamber. The time exceeding the standard is recorded. The following formula is used: Time exceeding the standard ÷ Associated duration = Translation characteristic. The translation characteristics associated with the corresponding translation process are confirmed. From the different translation characteristics associated with different translation processes, the maximum value is selected. The translation process associated with the maximum value is recorded as the standard process. The translation characteristics associated with the standard process are recorded as the pre-verification ratio.

7. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage according to claim 6, characterized in that, The specific methods for comparing and verifying the stable segments in the comprehensive verification terminal also include: Based on the fact that the position of the stable section of the anteroom remains unchanged in the standard process, the center point associated with the stable section of the elevator shaft and the previous stable section is translated to the same time. Then, the same processing method is used to perform several sets of translation processes on the stable section of the anteroom to translate the stable section of the elevator shaft. The different translation characteristics associated with different translation processes are confirmed, and the maximum value is selected. The translation characteristic associated with the maximum value is recorded as the post-verification ratio.

8. The elevator door control system based on Internet of Things for differential pressure monitoring and airtight linkage according to claim 1, characterized in that, The warning control terminal outputs warning signals specifically including: If the pre-verification ratio is ≥30% and the post-verification ratio is <30%, then an anterior chamber pressure warning signal will be generated and displayed. If the pre-verification ratio is <30% and the post-verification ratio is ≥30%, an elevator shaft air pressure warning signal will be generated and displayed. If the pre-verification ratio is ≥30% and the post-verification ratio is ≥30%, an elevator closing signal will be generated, and the elevator door will be controlled to close. If the pre-verification ratio is less than 30% and the post-verification ratio is less than 30%, no processing is required.

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