Elevator multi-party call alarm system based on Internet of Things

Abstract

The invention discloses an elevator multi-party call alarm system based on the Internet of Things, and relates to the technical field of elevator alarm, the Internet of Things technology and a sensing monitoring module are utilized to collect all sensed and monitored operation conditions of a current elevator, the operation conditions are transmitted to a data processing module, the data processing module is utilized to calculate and output an alarm trigger value BB, and the alarm trigger value BB is sent to the elevator. The elevator system performance value DX and the system alarm level BJ are sequentially calculated and output through the data processing module after the alarm and response module conducts alarm judgment and response, the alarm and response module receives the value of the system alarm level BJ, and the elevator system performance value DX and the system alarm level BJ are sequentially calculated and output through the alarm and response module. According to the elevator alarm and operation optimization method, the limitation of the prior art is overcome, more accurate and more intelligent elevator alarm and operation optimization is achieved, and therefore the safety, the reliability and the intelligent level of an elevator are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of elevator alarm technology, specifically to an elevator multi-party call alarm system based on the Internet of Things. Background Technology

[0002] Existing elevator alarm systems typically rely on a single fault detection method, and often fail to adequately consider the interaction of multiple factors, including the quality of multi-party communication, elevator load, number of users, and environmental factors. This leads to the following problems: First, existing systems rely on a single sensor and threshold to determine whether an elevator is overloaded or malfunctioning, which can easily lead to missed or false alarms. Second, existing systems often cannot make real-time adjustments based on the actual operating environment and the dynamic state of the elevator, resulting in low alarm accuracy. In addition, the Xiaoanyi system focuses only on data from a single dimension, ignoring the impact of other factors on system stability during elevator operation.

[0003] Based on the above issues, this IoT-based elevator multi-party communication alarm system combines multiple data sources and real-time sensors, and utilizes a calculation and feedback mechanism that includes an alarm triggering unit, an elevator performance evaluation unit, and a feedback adjustment alarm unit, to achieve more comprehensive and accurate monitoring of the elevator system status. Summary of the Invention

[0004] The purpose of this invention is to provide an elevator multi-party call alarm system based on the Internet of Things, which solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution, including a sensing and monitoring module, a storage module, a data processing module, and an alarm and response module. The data processing module includes an alarm trigger determination unit, an elevator performance evaluation unit, and an alarm feedback adjustment unit. The specific implementation steps are as follows: Step 1: Using IoT technology and the aforementioned sensor monitoring module, collect the current operating status of all sensors monitoring the elevator and transmit it to the data processing module. Step 2: Using the data processing module, first calculate and output the alarm trigger value BB, and then the alarm and response module performs alarm judgment and response. Step 3: After the alarm and response module performs alarm judgment and response, the data processing module is used to calculate and output the elevator system performance value DX and the system alarm level BJ in sequence. Step 4: The alarm and response module receives the value of the system alarm level BJ, and uses the alarm and response module to compare it with the system average alarm level BJ. avg After comparative analysis, the alarm triggering conditions were adjusted. Step 5: The results collected, calculated, and output by the sensing and monitoring module, the data processing module, and the alarm and response module are all stored in the storage module.

[0006] Optionally, the devices used in the sensing and monitoring module include load sensors, temperature and humidity sensors, speed sensors, operating frequency sensors, elevator fault early warning sensors, user quantity sensors, call quality sensors, electromagnetic sensors, and noise sensors. The storage module uses devices including a cloud platform and a database; The data processing module uses devices including an embedded processor and a wireless communication module; The alarm and response module uses equipment including a control and alarm system.

[0007] Optionally, the calculation formula for determining the alarm triggering unit is as follows: ; in: BB is the alarm trigger value; F represents the load on the elevator system, indicating the current load level of the elevator. YL represents the number of users, indicating the total number of users currently in the elevator. T is the call status index, and the value of T ranges from {0,1}. 0 indicates that there is no current call with the system's multiple parties, and 1 indicates that there is currently a call with the system's multiple parties. F0 is the preset load threshold; YL max To accommodate the maximum number of users; The overall load level under the influence of the number of users introduced into the elevator (YL) and the call status index (T) was calculated.

[0008] Optionally, if the alarm trigger value BB is greater than 0, the alarm and response module will issue an alarm and perform calculations and adjustments for the elevator performance evaluation unit and the feedback adjustment alarm unit. Furthermore, if the alarm trigger value BB is less than or equal to 0, the alarm and response module will not trigger an alarm, and the elevator will continue its daily operation.

[0009] Optionally, the calculation formula for the elevator performance evaluation unit is as follows: ; CP = CL / CT; in: DX represents the performance value of the elevator system; CP stands for elevator operating frequency; CL represents the number of operations, and CT represents the operation cycle. S represents the elevator speed, and S represents the elevator's maximum speed. CP max Maximum operating frequency; G represents the elevator malfunction early warning threshold; H is the environmental interference factor, which represents the external interference encountered during system operation; This indicates the elevator's operating load and directly affects the elevator's stability. The ratio directly reflects whether the elevator is currently exceeding its design load.

[0010] Optionally, the calculation formula for the feedback adjustment alarm unit is as follows: ; in: BJ represents the system alarm level; W represents the system stability, indicating the degree of stability of the elevator system during operation, and its value ranges from {0,1}. The stability W of a highly stable system is close to 1; The stability W of a relatively stable system is close to 0; The multiplication factor takes into account both the alarm triggering conditions and the operating status of the system.

[0011] Optionally, based on the system alarm level BJ, the system alarm level BJ with the same value as the current alarm trigger value BB is extracted from the storage module and averaged, as follows: ; in: BJ avg The average alarm level of the system; N represents the total number of triggers; BJ1 is the first system alarm level, BJ2 is the second system alarm level, and BJ3 is the third system alarm level. N This is the Nth system alarm level; Based on system alarm level BJ and system alarm average level BJ avg The analysis and adjustments are as follows: If the system alarm level BJ is lower than the system alarm average level BJ avg If the alarm is triggered, it indicates that the elevator is in an emergency and the system needs to adjust the preset load threshold F0 to respond quickly to the alarm. If the system alarm level BJ is higher than the system alarm average level BJ avgThis indicates that the elevator system is stable, and the alarm triggering conditions should be maintained.

[0012] Optionally, the formula for calculating the environmental disturbance factor H is as follows: H = A × a + B × b + C × c; A = 10 × log(A s / A0); B=B d / d; ; in: A represents the noise level; A s For measuring sound pressure, A0 is the preset sound pressure level; B represents the electromagnetic field strength; B d The current voltage; d is the spacing, which reflects the distance between the electromagnetic sensor and the electrical equipment; C represents the temperature and humidity factor; WD represents the current temperature. avg For average temperature, WD max For maximum temperature values, WD min This is the minimum temperature value; SD represents the current humidity. avg For average humidity, SD max The maximum humidity value is SD. min This is the minimum humidity value; a, b, and c are all weighting coefficients, set according to the set priority and following the rule a+b+c=1.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: I. This invention enables the system to comprehensively calculate three factors—elevator system load F, number of users YL, and call status index T—by judging the alarm trigger unit, thereby providing more accurate alarm trigger conditions. In this way, the system can avoid false alarms caused by fluctuations in a single parameter, thus providing a more stable and reliable alarm system.

[0014] Second, this invention evaluates elevator performance units, enabling the system to calculate elevator operating frequency CP, elevator speed S, and environmental interference factor H in real time. This helps the system dynamically evaluate elevator performance, allowing the system to adjust alarm triggering conditions and alarm levels in a timely manner based on the current status of the elevator and changes in the external environment. This avoids false alarms and missed alarms caused by environmental changes and fluctuations in elevator workload. Furthermore, it can optimize the elevator's operating mode based on real-time data changes, reducing the probability of false alarms and improving the safety and reliability of the elevator.

[0015] Third, the alarm level feedback mechanism in the alarm adjustment unit of this invention enables the elevator system to automatically adjust its operating status when the alarm level is high, thereby optimizing the elevator's operating efficiency and stability. This innovation allows the system to not only take protective measures when an alarm is triggered, but also to dynamically adjust through the feedback mechanism to adapt to different usage environments and operating conditions. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the method of this elevator multi-party communication alarm system; Figure 2 A schematic diagram of the overall structure of an elevator multi-party alarm system; Figure 3 This is a schematic diagram of the data processing module of the present invention. Detailed Implementation

[0017] 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.

[0018] This IoT-based elevator multi-party call alarm system differs from existing elevator multi-party call alarm systems, which suffer from problems such as a single alarm system, lack of dynamic feedback mechanism, and difficulty in comprehensively evaluating system performance. This algorithm unit overcomes the limitations of existing technologies, achieving more accurate and intelligent elevator alarms and operation optimization, thereby effectively improving the safety, reliability, and intelligence level of elevators.

[0019] Example 1, please refer to Figures 1 to 3 This implementation provides an elevator multi-party call alarm system based on the Internet of Things, including a sensing and monitoring module, a storage module, a data processing module, and an alarm and response module. The data processing module includes an alarm trigger determination unit, an elevator performance evaluation unit, and an alarm feedback adjustment unit. The specific implementation steps are as follows: Step 1: Using IoT technology and sensor monitoring modules, collect all the current elevator operating statuses detected by the sensors and transmit them to the data processing module. Step 2: Using the data processing module, first calculate the output alarm trigger value BB, and then the alarm and response module performs alarm judgment and response. Step 3: After the alarm and response module performs alarm judgment and response, the data processing module is used to calculate and output the elevator system performance value DX and the system alarm level BJ in sequence. Step 4: The alarm and response module receives the system alarm level BJ value and, using the alarm and response module, compares it with the system average alarm level BJ. avg After comparative analysis, the alarm triggering conditions were adjusted. Step 5: The results collected, calculated, and output by the sensing and monitoring module, data processing module, and alarm and response module are all stored in the storage module; The devices used in the sensing and monitoring module include load sensors, temperature and humidity sensors, speed sensors, operating frequency sensors, elevator fault early warning sensors, user quantity sensors, call quality sensors, electromagnetic sensors, and noise sensors. The storage module uses devices including a cloud platform and a database; The data processing module uses devices including embedded processors and wireless communication modules; The alarm and response module uses equipment including control and alarm systems.

[0020] In this embodiment, the alarm trigger value BB of the alarm triggering unit, the elevator system performance value DX of the elevator performance evaluation unit, and the system alarm level BJ of the feedback adjustment alarm unit are interconnected and have a feedback mechanism to optimize the alarm triggering and performance evaluation of the elevator system. Specifically, the alarm trigger value BB provides the basic alarm triggering conditions, the elevator system performance value DX accurately evaluates the elevator performance, and the system alarm level BJ adjusts the alarm level through the feedback mechanism to ensure that the system can accurately judge and respond under various conditions. Furthermore, the cyclical influence of the system alarm level BJ on the alarm trigger value BB gives the entire system higher adaptability and dynamic adjustment capabilities, thereby significantly improving the accuracy, safety, and response efficiency of the elevator alarm system.

[0021] Please see Figures 1 to 3 The calculation formula for determining the alarm trigger unit is as follows: ; in: BB is the alarm trigger value; F represents the load on the elevator system, indicating the current load level of the elevator. YL represents the number of users, indicating the total number of users currently in the elevator. T is the call status index, and the value of T ranges from {0,1}. 0 indicates that there is no current call with the system's multiple parties, and 1 indicates that there is currently a call with the system's multiple parties. F0 is the preset load threshold; YL max To accommodate the maximum number of users; The overall load level under the influence of the number of users introduced by the elevator (YL) and the call status index (T) was calculated. When the alarm trigger value BB is greater than 0, the alarm and response module will issue an alarm and perform calculations and adjustments to evaluate the elevator performance unit and the feedback adjustment alarm unit. Furthermore, if the alarm trigger value BB is less than or equal to 0, the alarm and response module will not trigger an alarm, and the elevator will continue its daily operation.

[0022] In this embodiment: First, the algorithm unit... In the calculation section, F represents the elevator system load, indicating the current load situation inside the elevator. A higher elevator load increases the risk of an alarm. YL represents the number of users, indicating how many users are inside the elevator. More users increase the elevator load, thus increasing the risk of an alarm. max The maximum number of users it can accommodate indicates the elevator's maximum safe carrying capacity. T represents the communication status index, typically related to the elevator's communication system. A good communication status index means smooth communication within the elevator, while a poor index means communication is impossible, requiring a higher load to maintain system operation and consequently affecting alarms. The number of users YL and the maximum number of users YL are also relevant. max The ratio YL is added to the call status index T because both the number of users in the elevator and the call status index Y affect the elevator's usage demand and load. When multiple people use the elevator simultaneously and are making calls, the elevator's load increases, and the system requires more resources to support communication and operation. Therefore, by adding the ratio of the number of users YL to the maximum number of users YL... max The ratio of the call status index to the call status index T is multiplied by the elevator system load F to obtain a comprehensive load index. The purpose of the overall calculation is to assess whether the load on the elevator system exceeds the preset safety threshold and to determine whether to trigger an alarm. This algorithm unit comprehensively calculates the elevator system load F, the number of users YL, and the call status index T, enabling the alarm triggering unit to more comprehensively reflect the working status of the elevator system. This avoids false alarms that may occur when relying solely on the elevator load as the judgment criterion. The algorithm unit sets a preset load threshold F0 to ensure that an alarm is triggered when the elevator load exceeds the threshold. By judging this threshold, the system can accurately identify potential dangers when the elevator is overloaded or when there are too many users, effectively preventing malfunctions. Unlike traditional single-load alarms, the alarm triggering unit incorporates the call status index T, enabling the system to promptly activate the alarm mechanism when the elevator load is high or the call quality is poor, thus avoiding misjudgments or missed judgments due to environmental interference or communication problems.

[0023] Please see Figures 1 to 3 The calculation formula for evaluating elevator performance units is as follows: ; CP = CL / CT; in: DX represents the performance value of the elevator system; CP stands for elevator operating frequency; CL represents the number of operations, and CT represents the operation cycle. S represents the elevator speed, and S represents the elevator's maximum speed. CP max Maximum operating frequency; G represents the elevator malfunction early warning threshold; H is the environmental interference factor, which represents the external interference encountered during system operation; This indicates the elevator's operating load and directly affects the elevator's stability. The ratio directly reflects whether the elevator is currently exceeding its design load.

[0024] In this embodiment, firstly The calculation section assesses the elevator's operational performance, primarily considering the elevator's communication status index T and the relationship between operating frequency and speed. The communication status index T directly impacts the system's communication reliability; a good communication status index typically indicates smoother system operation. The product of these factors reflects the elevator's workload and operating speed. Frequent elevator operation at high speeds results in a heavy system load, which in turn affects performance. In the calculation, the call state index T reflects the stability of the communication system; it is unrelated to the actual elevator operation but affects the overall system stability. The operating load of the elevator directly affects its stability. Adding the two together allows for a comprehensive evaluation of the elevator's operating performance. This includes not only considering the operating frequency and speed but also the impact of communication status on the system. This part helps to evaluate the overall performance of the elevator system during operation and ensures that the system can operate smoothly under normal load. The calculation section is used to evaluate the impact of elevator operation frequency on call quality, ensuring that elevator operation does not excessively affect communication status. The ratio indicates whether the elevator has exceeded its design load, while The smaller the value, the greater the load on the elevator, which will affect the communication status. This can be determined through calculation. This ratio ensures that the elevator's operating frequency will not affect the communication quality. When the elevator is running too frequently, it will affect the call status index, which in turn will affect the triggering conditions of the alarm system. The calculation section assesses the impact of environmental interference factor H and elevator fault warning threshold G on the call status index T, ensuring the system can continue to operate in relatively harsh environments. This includes the number of users YL and the maximum number of users YL that the system can support. max The ratio of [the threshold value] is related to the environmental interference factor H and the elevator fault warning threshold G. The higher the fault warning threshold G, the lower the system stability and the greater the environmental interference, which in turn affects call quality. The square root of the value represents the risk of elevator malfunction, and the square root of this risk is used to reduce the impact on elevator alarms. The environmental interference factor H represents the impact of the external environment on the elevator system. This part helps to calculate the impact of external interference on elevator communication and operation. In particular, when the thresholds for environmental interference and fault warning are high, they will greatly affect the operating performance of the elevator. This algorithm unit evaluates elevator performance by considering not only elevator operating frequency CP, elevator speed S, and maximum operating frequency CP. max It also incorporates the elevator fault warning threshold G and the environmental interference factor H, making the performance evaluation of the elevator system more comprehensive and dynamic. Through this evaluation, the system can determine the current load capacity and working status of the elevator in real time. The adjustment mechanism in the elevator performance evaluation unit helps the system adjust elevator performance according to actual conditions, ensuring that the system is always in a safe and efficient working state under different environmental and load conditions. This avoids false alarms that may be caused by a single factor. Furthermore, by introducing multi-dimensional calculation factors, the elevator performance evaluation unit can fine-tune the accuracy of alarm triggering based on multiple performance indicators of the elevator, avoiding false alarms or missed alarms caused by changes in a single parameter.

[0025] Please see Figures 1 to 3 The calculation formula for the feedback adjustment alarm unit is as follows: ; in: BJ represents the system alarm level; W represents the system stability, indicating the degree of stability of the elevator system during operation, and its value ranges from {0,1}. The stability W of a highly stable system is close to 1; The stability W of a relatively stable system is close to 0; The multiplication factor takes into account both the alarm triggering conditions and the operating status of the system.

[0026] In this embodiment, the algorithm unit first The calculation section calculates the product of the alarm trigger value BB and the elevator system performance value DX to assess whether the system needs to adjust the alarm trigger conditions. By multiplying the two, the alarm trigger conditions and operating status of the system can be comprehensively considered to obtain a comprehensive alarm evaluation value. The calculation section is used to calculate the call status index T, the number of users YL, and the maximum number of users YL that can be supported. max The relationship between system stability W and preset load threshold F0 affects the system's alarm level, and this part can help to further evaluate the alarm level under different system stability conditions, ensuring that the system can respond in abnormal situations. In this algorithm unit, the alarm unit is adjusted through feedback. By introducing the alarm trigger value BB and the elevator system performance value DX, an adaptive feedback mechanism is provided for the alarm system. When the system alarm level BJ is high, the workload and communication status T of the elevator can be automatically adjusted to avoid elevator overload and failure. In addition, by introducing factors such as system stability W and preset load threshold F0, the feedback adjustment alarm unit can assess the overall stability of the elevator and adjust the alarm conditions in a timely manner when the system is unstable. This can help the elevator system respond quickly when unstable conditions occur, thereby avoiding accidents. The feedback adjustment of the alarm unit affects the judgment conditions for alarm triggering, forming a positive loop mechanism. This means that the increase of the alarm level will in turn affect the alarm triggering conditions in the judgment alarm triggering unit. This enables the system to dynamically adjust the preset load threshold F0 and call status index T according to the real-time alarm situation, thereby improving the safety and responsiveness of the elevator system.

[0027] Please see Figures 1 to 3 Based on the system alarm level BJ, and extracting the system alarm level BJ with the same value as the current alarm trigger value BB from the storage module, the average calculation is performed as follows: ; in: BJ avg The average alarm level of the system; N represents the total number of triggers; BJ1 is the first system alarm level, BJ2 is the second system alarm level, and BJ3 is the third system alarm level. N This is the Nth system alarm level; Based on system alarm level BJ and system alarm average level BJ avg The analysis and adjustments are as follows: If the system alarm level BJ is lower than the system alarm average level BJ avg If the alarm is triggered, it indicates that the elevator is in an emergency and the system needs to adjust the preset load threshold F0 to respond quickly to the alarm. If the system alarm level BJ is higher than the system alarm average level BJ avg This indicates that the elevator system is stable, and the alarm triggering conditions should be maintained.

[0028] In this embodiment, the system alarm level BJ calculated by the feedback adjustment alarm unit affects the preset load threshold F0 in the judgment alarm triggering unit. Specifically, when the feedback adjustment alarm unit calculates a higher alarm level, the system considers the current elevator status to have potential risks and thus needs to trigger an alarm. The feedback mechanism introduced by the feedback adjustment alarm unit forms a closed loop, causing the system alarm level BJ to affect the alarm triggering conditions in the judgment alarm triggering unit. This leads to the system making stricter judgments on the preset load threshold F0 and the number of users YL, ensuring that the elevator can respond promptly when an anomaly occurs. In this way, the feedback adjustment alarm unit optimizes the alarm accuracy and response time of the judgment alarm triggering unit by dynamically adjusting the alarm conditions. As the calculation results of the feedback adjustment alarm unit are gradually fed back to the judgment alarm triggering unit, it can dynamically adjust the alarm conditions. Through this cyclical mechanism, the elevator system can more accurately identify situations that require alarms, reducing the probability of false alarms and missed alarms. This unit avoids false alarms caused by temporary fluctuations or sudden events by comparing historical data. The reference of average values ​​makes the system more stable when judging alarms. By comparing historical alarm levels, the system can adjust the alarm response more flexibly. Especially in the event of more abnormal situations, it can react quickly and trigger higher-level alarms. The feedback mechanism allows the elevator system to adjust adaptively, avoiding repeated triggering of unnecessary alarms, and can dynamically adjust the alarm trigger threshold according to real-time load. This comparison and adjustment mechanism reduces false alarms caused by instantaneous changes in the system, which helps to improve system stability and user experience.

[0029] Example 2, please refer to Figures 1 to 3 The formula for calculating the environmental disturbance factor H is as follows: H = A × a + B × b + C × c; A = 10 × log(A s / A0); B=B d / d; ; in: A represents the noise level; A s For measuring sound pressure, A0 is the preset sound pressure level; B represents the electromagnetic field strength; B d Current voltage; d is the spacing, which reflects the distance between the electromagnetic sensor and the electrical equipment; C represents the temperature and humidity factor; WD represents the current temperature. avg For average temperature, WD max For maximum temperature values, WD min This is the minimum temperature value; SD represents the current humidity. avg For average humidity, SD max The maximum humidity value is SD. min This is the minimum humidity value; a, b, and c are all weighting coefficients, set according to the set priority and following the rule a+b+c=1.

[0030] In this embodiment, by measuring environmental factors such as noise, electromagnetic interference, and temperature and humidity in real time and dynamically adjusting the value of the environmental interference factor H, the system can identify and respond to the impact of environmental changes on the elevator system in real time. When environmental interference factors increase, the alarm triggering conditions of the elevator system can be improved by adjusting the environmental interference factor H to enhance sensitivity, ensuring that the alarm system can react when there is a real potential safety risk, rather than being falsely triggered by environmental interference. Furthermore, the environmental interference factor H is automatically adjusted according to real-time data, enabling the elevator system to adapt to different operating environments. Whether it is urban noise, electromagnetic pollution, or changes in temperature and humidity, the system can flexibly adjust the alarm mechanism based on real-time monitoring data, thereby maintaining efficient and safe operation in different environments. The system calculates an accurate environmental interference factor H based on real-time data collected from various sensors and can dynamically adjust alarm conditions. This intelligent data-driven decision-making can effectively reduce manual intervention and improve the automation and intelligence level of the elevator system. Dynamic adjustment of the environmental disturbance factor H not only helps improve the operational stability of the elevator system, but also enhances the elevator's ability to protect against external uncertainties. By continuously tracking environmental disturbances, the system can identify unstable environmental factors and issue warnings when necessary, ensuring that the elevator always operates safely in complex environments. The environmental interference factor H can flexibly adjust the sensitivity of the alarm system according to different interference intensities. If the environmental interference is high, the system will increase the alarm sensitivity, and conversely, if the interference is low, the sensitivity will be reduced, thereby ensuring that the elevator operates more efficiently. In this way, the system can accurately reflect the impact of changes in the external environment on elevator safety, optimize elevator operation, and reduce system failures and false alarms caused by environmental factors. This will make the elevator operation more stable and intelligent, and more adaptable and reliable in complex environments.

[0031] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An elevator multi-party call alarm system based on the Internet of Things, characterized in that, It includes a sensing and monitoring module, a storage module, a data processing module, and an alarm and response module. The data processing module includes an alarm trigger determination unit, an elevator performance evaluation unit, and an alarm feedback adjustment unit. The specific implementation steps are as follows: Step 1: Using IoT technology and the aforementioned sensor monitoring module, collect the current operating status of all sensors monitoring the elevator and transmit it to the data processing module. Step 2: Using the data processing module, first calculate and output the alarm trigger value BB, and then the alarm and response module performs alarm judgment and response. Step 3: After the alarm and response module performs alarm judgment and response, the data processing module is used to calculate and output the elevator system performance value DX and the system alarm level BJ in sequence. Step 4: The alarm and response module receives the value of the system alarm level BJ, and uses the alarm and response module to compare it with the system average alarm level BJ. avg After comparative analysis, the alarm triggering conditions were adjusted. Step 5: The results collected, calculated, and output by the sensing and monitoring module, the data processing module, and the alarm and response module are all stored in the storage module.

2. The elevator multi-party call alarm system based on the Internet of Things according to claim 1, characterized in that, The sensing and monitoring module uses devices including load sensors, temperature and humidity sensors, speed sensors, operating frequency sensors, elevator fault early warning sensors, user quantity sensors, call quality sensors, electromagnetic sensors, and noise sensors. The storage module uses devices including a cloud platform and a database; The data processing module uses devices including an embedded processor and a wireless communication module; The alarm and response module uses equipment including a control and alarm system.

3. The elevator multi-party call alarm system based on the Internet of Things according to claim 2, characterized in that: The calculation formula for determining the alarm trigger unit is as follows: ； in: BB is the alarm trigger value; F represents the load on the elevator system, indicating the current load level of the elevator. YL represents the number of users, indicating the total number of users currently in the elevator. T is the call status index, and the value of T ranges from {0,1}. 0 indicates that there is no current call with the system's multiple parties, and 1 indicates that there is currently a call with the system's multiple parties. F0 is the preset load threshold; YL max To accommodate the maximum number of users; The overall load level under the influence of the number of users introduced into the elevator (YL) and the call status index (T) was calculated.

4. The elevator multi-party call alarm system based on the Internet of Things according to claim 3, characterized in that: When the alarm trigger value BB is greater than 0, the alarm and response module will issue an alarm and perform calculations and adjustments for the elevator performance evaluation unit and the feedback adjustment alarm unit. Furthermore, if the alarm trigger value BB is less than or equal to 0, the alarm and response module will not trigger an alarm, and the elevator will continue its daily operation.

5. The elevator multi-party call alarm system based on the Internet of Things according to claim 4, characterized in that: The calculation formula for the elevator performance evaluation unit is as follows: ； CP = CL / CT; in: DX represents the performance value of the elevator system; CP stands for elevator operating frequency; CL represents the number of operations, and CT represents the operation cycle. S represents the elevator speed, and S represents the elevator's maximum speed. CP max Maximum operating frequency; G represents the elevator malfunction early warning threshold; H is the environmental interference factor, which represents the external interference encountered during system operation; This indicates the elevator's operating load and directly affects the elevator's stability. The ratio directly reflects whether the elevator is currently exceeding its design load.

6. The elevator multi-party communication alarm system based on the Internet of Things according to claim 5, characterized in that: The calculation formula for the feedback adjustment alarm unit is as follows: ； in: BJ represents the system alarm level; W represents the system stability, indicating the degree of stability of the elevator system during operation, and its value ranges from {0,1}. The stability W of a highly stable system is close to 1; The stability W of a relatively stable system is close to 0; The multiplication factor takes into account both the alarm triggering conditions and the operating status of the system.

7. The elevator multi-party call alarm system based on the Internet of Things according to claim 6, characterized in that: Based on the system alarm level BJ, and extracting the system alarm level BJ with the same value as the current alarm trigger value BB from the storage module, the average calculation is performed as follows: ； in: BJ avg The average alarm level of the system; N represents the total number of triggers; BJ1 is the first system alarm level, BJ2 is the second system alarm level, and BJ3 is the third system alarm level. N This is the Nth system alarm level; Based on system alarm level BJ and system alarm average level BJ avg The analysis and adjustments are as follows: If the system alarm level BJ is lower than the system alarm average level BJ avg If the alarm is triggered, it indicates that the elevator is in an emergency and the system needs to adjust the preset load threshold F0 to respond quickly to the alarm. If the system alarm level BJ is higher than the system alarm average level BJ avg This indicates that the elevator system is stable, and the alarm triggering conditions should be maintained.

8. The elevator multi-party communication alarm system based on the Internet of Things according to claim 5, characterized in that: The formula for calculating the environmental disturbance factor H is as follows: ； ； ； ； in: A represents the noise level; A s For measuring sound pressure, A0 is the preset sound pressure level; B represents the electromagnetic field strength; B d Current voltage; d is the spacing, which reflects the distance between the electromagnetic sensor and the electrical equipment; C represents the temperature and humidity factor; WD represents the current temperature. avg For average temperature, WD max For maximum temperature values, WD min This is the minimum temperature value; SD represents the current humidity. avg For average humidity, SD max The maximum humidity value is SD. min This is the minimum humidity value; a, b, and c are all weighting coefficients, set according to the set priority and following the rule a+b+c=1.

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