CN117105037A - Smart elevator multi-party collaborative rescue management system - Google Patents

Abstract

The invention discloses a multi-party collaborative rescue management system of an intelligent elevator, which comprises a remote service platform, an information management module, a real-time monitoring module, a call center module, an emergency rescue module, a maintenance management module and a pushing module, wherein the information management module performs data analysis on data information generated by the intelligent elevator, obtains the level of elevator faults through collaborative visual analysis and evaluation of information, evaluates the rescue capability of different emergency rescue units according to help seeking information, finally enables the level of elevator faults to be matched with the rescue capability level of the rescue units, establishes an information visual model according to the data information of the elevator, realizes information collaboration between the rescue units and trapped personnel through pushing the visual information of the elevator information, breaks the information barrier, improves the rescue and dynamic monitoring efficiency of the intelligent elevator, and optimizes the command decision level of the remote service platform on the rescue process.

Description

Smart elevator multi-party collaborative rescue management system

Technical field

The invention relates to the technical field of smart elevators, and specifically to a multi-party collaborative rescue management system for smart elevators.

Background technique

While the widespread use of smart elevators brings convenience to people's travels, it also poses certain threats to people's personal safety. Due to the weak safety awareness of passengers, the lack of publicity about elevator safety knowledge, and the unreasonable emergency rescue, elevator accidents occur. Sometimes, errors in crisis response and blind rescue often lead to more serious accident consequences. It is crucial to provide guidance to elevator passengers and emergency rescue personnel. When an elevator accident occurs, emergency rescue personnel go to the accident elevator based on the received help information. Rescue is carried out everywhere, but emergency rescuers have limited understanding of the abnormal situation of the elevator and the situation of the trapped people. The information barriers between different relevant information of the elevator will prolong the rescue time of the trapped people. In order to reduce the rescue time and improve wisdom Elevator rescue efficiency, and timely determination of the best rescue plan, improve the utilization of data information during the smart elevator rescue process, and minimize the losses and impacts caused by elevator accidents. To this end, a smart elevator multi-party collaborative rescue management system is proposed.

Contents of the invention

In response to the above situation, in order to overcome the shortcomings of the existing technology, the purpose of the present invention is to provide a smart elevator multi-party collaborative rescue management system, which evaluates the level of elevator faults through the information management system, so that the level of elevator faults is consistent with the rescue capabilities of the rescue unit. The levels are matched, and information collaboration between rescue units and trapped persons is achieved through the push of visual information on elevators, breaking information barriers and improving the efficiency of smart elevator rescue.

The smart elevator multi-party collaborative rescue management system includes a remote service platform, information management module, real-time monitoring module, call center module, emergency rescue module, maintenance management module, and push module. In the rescue management system:

The remote service platform performs remote management of modules in the system through the server, and the push module sends visual information of data analysis to emergency rescue personnel. The push module includes a display unit, an alarm unit, and a push unit;

The real-time monitoring module performs real-time monitoring on the operation of the elevator through a signal anomaly detector, a sensor unit and an environmental monitoring unit to obtain real-time monitoring data;

The information management module performs data analysis on the data information generated by the smart elevator, obtains the level of elevator failure through collaborative visual analysis and evaluation of information, and then establishes an information visualization model based on the level of elevator failure and rescue-related information to optimize rescue. According to the plan, when an abnormal operation occurs in the elevator, the trapped person sends a distress message through the call center module and triggers the emergency rescue module to perform automatic emergency rescue. The remote service platform sends emergency rescue instructions based on the distress message of the trapped person;

The information management module performs data analysis based on the real-time monitoring data and historical record data of abnormal smart elevators to obtain the fault probability P _i of the elevator fault assessment, where i is the subscript of the faulty component, and then obtains the level of the elevator fault based on the fault probability. The maintenance records of the elevator are recorded in the historical record data;

The information management module determines adjacent emergency rescue units based on the distress information and the sending location of the elevator's abnormal alarm signal, determines the arrival time of the emergency rescue personnel through the GPS system, and then determines the rescue capability level through the evaluation and analysis of the emergency rescue unit data. Number H;

The information management module then performs video image analysis based on the monitoring data in the real-time monitoring data to determine the situation of the trapped persons, and builds a three-dimensional visual model based on all the data information of the elevator. The push module pushes the visual model to the emergency rescue module. While waiting for rescue, the updated data of the real-time monitoring module is dynamically updated in the three-dimensional visualization model;

The mobilizable emergency rescue personnel of the emergency rescue module perform on-site rescue according to the three-dimensional visual model of the elevator accident. During the on-site rescue process, the information management module dynamically analyzes the changes in data information, and the remote service platform combines the on-site rescue with The rescue decision-making optimization is carried out based on the rescue time of the process, the three-dimensional visualization model and the status of the trapped persons.

The sensor unit includes a pressure sensor, a speed sensor, a light sensor, a temperature sensor, a humidity sensor, a height sensor, a video monitor and an oxygen concentration detector. The information management module monitors the operating status of the elevator based on historical record data. Evaluation and analysis, taking each operating cycle of the elevator as a unit, divides the operating process of the elevator into an acceleration process, a uniform process, and a deceleration process. In the three processes of elevator operation, the history of the elevator components operating in different operations is Record the data as a set and calculate the loss function of the elevator components during different operations. The calculation process is as follows:

Among them, L(w) is the loss value of data generated by the elevator components running in different operations. The error value corresponding to the actual value and the theoretical value during the operation is recorded as w _i . m is the data collection index of the elevator component during the operation. Number, n is the number of running cycles in the historical record data, is the actual value of the j-th data index of the i-th cycle data, y ^j is the theoretical value of the j-th data index, and b is the total number of maintenance times of elevator components during operation.

The information management module performs data analysis on the movement cycle of the elevator failure and extracts the real-time monitoring data collected by the real-time monitoring module. The pressure sensor collects the initial weight G of the elevator. The time it takes for a normal elevator to accelerate from standstill to a uniform speed is t, the time taken from the uniform speed to zero is recorded as t ^* . The speed sensor collects the speed data during the operation of the elevator. The actual speed is recorded as v. The standard speed of the elevator's normal operation is recorded as V. The standard speed is at When the elevator with an initial weight of G is running normally, the speed value changes with the operation process, and the normal error of the elevator running speed Calculate the value of |vV| and determine whether |vV| and/> relationship, when/> When , the moment when the speed change satisfies the inequality is the fault moment, marked as t′, and the initial moment of operation in the operation cycle where the fault occurs is marked as t ₀ . To judge the fault moment and the normal elevator running time, when (t′-t ₀ ) <t, the fault occurs during the acceleration process, and the fault probability _Pi is calculated based on the loss value of the elevator components during the acceleration process.

The information management module determines the specific process of the fault time based on the data analysis of speed, time and pressure, and then calculates the deviation k _i between the fault values of i different elevator components at the fault time t′ and the theoretical values during normal operation. Different data The collection indicators correspond to different elevator components, and the failure probabilities of elevator components corresponding to different data collection indicators are calculated. The information management module then predicts the number of failed elevator components based on the failure probability when the elevator fails to obtain the level of the elevator failure.

The information management module retrieves the BIM model of the building where the elevator is located. In the BIM model, the elevator emergency stop position and the information about the people trapped in the elevator are synchronized to the BIM model, and BIM technology is used to combine the building and the elevator components in operation. The parameter changes are visually expressed to obtain a three-dimensional visual model, and the push module pushes the visual image and the surveillance video of the trapped people in the elevator to the emergency rescue module.

The emergency rescue module includes an automatic trigger unit, a safety central control unit, an emergency analysis unit, a rescue unit, a dynamic management unit, and a backup power supply. The rescue process implemented by the emergency rescue module includes an automatic emergency rescue process, a rescue waiting process, and an on-site rescue process. The automatic triggering unit automatically activates the locking state of the elevator after receiving a distress command indicating that the elevator brake is out of control, and then the safety central control unit turns on the elevator to automatically run to the nearest leveling floor and open the door to release people.

The call center module is the communication center of the management system. The call center module is connected to the information sending and receiving ends of all rescue units. The trapped people send out distress messages through emergency calls, and the remote server calls different rescue units through the call center module. The identification subunit is used to identify escape information and rescue information. The trapped persons perform correct escape operations according to the instructions of the escape information. When an accident occurs in the elevator, the elevator automatically activates the backup power supply and backup management system. The real-time monitoring module monitors the elevator Collect all data and information generated during the operation process, and upload exception logs, maintenance logs and inspection data.

The information management module evaluates the rescue capability levels of different emergency rescue units. First, it obtains the location of the faulty elevator in the rescue information, determines the distance from the different rescue units to the faulty elevator, and calculates the cascading degree between different rescue units. , and then use the rescue time, rescue distance, cascading degree and rescue availability as the rescue efficiency evaluation indicators, and evaluate the rescue capabilities of different rescue units to obtain different rescue capability levels. The rescue capability levels of the rescue units are related to the elevator failure. The real-time monitoring module monitors the operating status of the elevator in real time and directly feeds back the health status of the elevator through the display module.

The display unit includes a display screen sub-unit, a lighting sub-unit, and a sign sub-unit. The alarm unit includes a light siren, a voice alarm, and an alarm information display. The remote service platform directly communicates with the trapped persons through the display screen sub-unit. dialogue.

Due to the adoption of the above technical solutions, the present invention has the following advantages compared with the prior art:

1. The information management module of the present invention evaluates the elevator failure level based on the historical record information of the elevator operation, then determines the location of different rescue units through the rescue information of the trapped persons, and evaluates the rescue capability levels of the rescue units. , and match the level of elevator faults with the level of rescue capabilities, improve the rescue efficiency of smart elevators, and avoid the mismatch problem of emergency rescue personnel caused by information barriers.

2. The information management module of the present invention takes one operating cycle of the elevator as a unit, divides the operating process of the elevator into an acceleration process, a uniform process and a deceleration process, and analyzes the data loss values in the three processes based on the historical record data of the elevator. The loss value of different elevator components. When an elevator accident occurs, the fault moment is determined by judging the changes in pressure, time and speed. The loss value of the corresponding process is determined by judging the process corresponding to the fault moment, and combined with the corresponding loss Values are used to solve the failure probabilities corresponding to different components. Finally, the number of failed elevator components is predicted through the failure probability to obtain the level of elevator failure. The information management module analyzes and predicts the level of elevator failure to help the remote service platform direct rescue. This allows emergency rescue personnel to quickly diagnose elevator faults and formulate efficient and safe rescue plans, greatly shortening elevator rescue time.

3. The information management module of the present invention visually expresses the information of the building where the elevator is located and the information of the elevator failure, helping emergency rescuers to quickly understand the failure of the elevator and the situation of trapped persons, and uses a three-dimensional visualization model to analyze the dynamic changes that occur during the rescue process. Intuitive display enables dynamic monitoring of abnormal conditions in the elevator before emergency rescue personnel arrive to avoid emergencies during the rescue process.

Description of drawings

Figure 1 is an overall module diagram of the present invention;

Figure 2 is an overall analysis flow chart in the present invention;

Figure 3 is the analysis flow chart of the information management module.

Detailed ways

The foregoing and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of the embodiments with reference to the accompanying drawings 1 to 3. The structural contents mentioned in the following embodiments are all referred to the accompanying drawings of the description.

The embodiment of the present invention discloses a smart elevator multi-party collaborative rescue management system, which includes a remote service platform, an information management module, a real-time monitoring module, a call center module, an emergency rescue module, a maintenance management module, and a push module. In the rescue management system, smart The elevator collects data information on each working status of the elevator through the Internet of Things equipment, and detects the health status of the elevator through the data analysis of data collection. When the elevator has an operating failure that cannot be felt by humans, the components of the elevator fail. But it will not trap the passengers. The smart elevator management system evaluates the faulty elevator components based on the elevator's historical data analysis and performs quick and effective repairs;

When an emergency failure occurs during the operation of the elevator, the trapped persons cannot get out of the elevator. The elevator fan stops running due to the failure, which will cause the elevator to become a closed space. The air oxygen concentration, air humidity, and temperature in the elevator are all evenly distributed. It will affect the health status of the trapped people; as the emergency rescue time goes by, the elevator failure and the situation of the trapped people cannot be accurately grasped. The remote service platform monitors the trapped people in the elevator through the real-time monitoring module of the elevator. , and communicate with the trapped people through the display unit to soothe the trapped people's emotions; further, in the management system, the elevator failure is analyzed and predicted by analyzing and predicting the elevator data, and the health status of the elevator is Conduct assessments to improve the efficiency of information sharing and shorten rescue time; the location of the emergency rescue unit of the emergency rescue module, the number of emergency rescue personnel, and rescue equipment will all have an impact on the emergency rescue time. In order to enable each rescue part to use a linkage method to carry out rescue , matched to the best emergency rescue unit, and designated the best rescue decision; the remote service platform remotely commands the emergency rescue process of the elevator through the server, and the push module sends the visual information of data analysis to the emergency rescue personnel, The property management personnel intelligently manage all smart elevators through the remote service platform. When an elevator failure occurs, the property management personnel issue instructions through the remote service platform for rescue guidance. The push module includes a display unit, an alarm unit, and a push unit; The real-time monitoring module monitors the operation of the elevator in real time through the signal anomaly detector, sensor unit and environmental monitoring unit to obtain real-time monitoring data; the push module performs wired push on the data analysis results of the information management module to ensure the information of the emergency rescue process. Linkage, in addition to the intelligent monitoring of the system during operation, the detection of the health status of the elevator also includes maintenance data obtained from the periodic detection of the elevator by maintenance personnel;

In order to improve the degree of information coordination during the rescue process, so that emergency rescue personnel can quickly obtain relevant information about the faulty elevator. The probability of failure in different operating processes is related to the healthy operation of the elevator components operating in the process. The information management module is based on the real-time information of the elevator. The monitoring data and historical operation data are used to conduct fault analysis and evaluation of elevator faults and data information of trapped persons, and then push data with different priorities based on the results of data analysis. The information management module generates data information for smart elevators. Carry out data analysis and obtain the level of elevator failure through collaborative visual analysis and evaluation of information. Then establish an information visualization model based on the level of elevator failure and rescue-related information to optimize the rescue plan. When an abnormal operation occurs in the elevator, the trapped person can call The central module sends out a distress message and triggers the emergency rescue module to perform automatic emergency rescue. The remote service platform sends emergency rescue instructions based on the distress information of the trapped people;

Further, the information management module retrieves all data information of the elevator to be rescued, analyzes the probability of failure of different elevator components, and then predicts the fault location of the elevator through the failure probability and real-time monitoring data when the elevator failure occurs. To determine the location and maintenance difficulty of the elevator fault, the information management module performs data analysis based on the real-time monitoring data and historical record data of abnormal smart elevators to obtain the fault probability P _i of the elevator fault assessment, where i is the subscript of the faulty component, and then The level of elevator failure is obtained based on the failure probability, and the maintenance records of the elevator are recorded in the historical record data;

Further, the information management module determines the adjacent emergency rescue units based on the distress information and the issuing location of the elevator's abnormal alarm signal, and determines the arrival time of the emergency rescue personnel through the GPS system, and then determines it through the evaluation and analysis of the emergency rescue unit data. Rescue capability level H. Different rescue units have different rescue capabilities. When the emergency rescue unit closest to the faulty elevator does not have enough backup emergency rescuers, in order to match the rescue difficulty of the faulty elevator, the rescue capabilities of multiple rescue units need to be evaluated. Assessment: During the on-site rescue process, when the emergency rescue personnel find that the rescue is difficult, the remote service platform will provide supplements according to the stages of the on-site rescue process;

Further, the information management module performs video image analysis based on the monitoring data in the real-time monitoring data to determine the situation of the trapped persons, and builds a three-dimensional visual model based on all the data information of the elevator, and the push module pushes the visual model to the emergency Rescue module, while waiting for rescue, the updated data of the real-time monitoring module is dynamically updated in the three-dimensional visualization model. During the rescue process, the real-time monitoring module collects the data information of the trapped people in the elevator, and the information management module monitors the trapped people's data. Data information and emergency rescue information are dynamically monitored. During the process from emergency rescue personnel receiving the distress information to on-site rescue, the situation of elevator failures and trapped persons still needs to be dynamically monitored;

Furthermore, when the automatic triggering unit of the faulty elevator triggers automatic emergency rescue, the faulty elevator does not release the trapped persons on the nearest floor. Emergency rescue personnel need to understand the location and overall fault situation of the faulty elevator and formulate correct rescue strategies. The mobilizable emergency rescue personnel of the emergency rescue module perform on-site rescue according to the three-dimensional visual model of the elevator accident. During the on-site rescue process, the information management module dynamically analyzes changes in data information, and the remote service platform combines the on-site rescue process with The rescue time, three-dimensional visualization model and the status of the trapped personnel are used to optimize rescue decisions, and the analysis results of all data information are visually analyzed and displayed, which saves the time of emergency rescue personnel and improves the efficiency of emergency rescue.

The sensor unit includes a pressure sensor, a speed sensor, a light sensor, a temperature sensor, a humidity sensor, a height sensor, a video monitor and an oxygen concentration detector. Through various Internet of Things devices in the smart elevator, different operating processes are monitored. Collect data, and the information management module evaluates and analyzes the operating status of the elevator based on historical record data. When an emergency occurs in the elevator and the trapped person sends a rescue message, the elevator switches to the backup system;

The pressure threshold of an elevator is the maximum value of the pressure range of the elevator. In the existing technology, when the mass of the passenger reaches the maximum load-bearing threshold, the alarm module will issue an alarm message. However, in the elevator, the weight of the passenger does not exceed Loading threshold and number of people, the pressure will change with the braking process during different operations of the elevator. There is a certain difference between the actual pressure caused by the acceleration and deceleration processes and the weight, so the failure of the elevator components will cause the actual pressure of the passengers to The pressure value produces a fluctuation error, so the pressure, speed, and running time values collected by the real-time monitoring module are correlated with the fault status of the elevator. Taking each operating cycle of the elevator as a unit, the state of the operating cycle is the process from stationary to stationary again. , the real-time monitoring data of the elevator is constantly updated during operation. Through the analysis of normal elevator data, it is possible to reduce the occurrence of elevator faults during operation. The elevator operation process is divided into acceleration process, uniform speed process, and deceleration process. When the elevator is running In the three processes, the historical record data generated by the elevator components running in different operations are recorded as a set. The maintenance management module uploads the elevator detection data and maintenance data through the log and saves it as historical record data. Under different operating conditions of different elevators, the degree of wear of different elevator components is different. The loss function is the wear parameter of the elevator components related to the operation during a running process. The loss function of the elevator components in different operating processes is calculated. The calculation process is as follows:

Among them, L(w) is the loss value of data generated by the elevator components running in different operations. The error value corresponding to the actual value and the theoretical value during the operation is recorded as w _i . m is the data collection index of the elevator component during the operation. Number, n is the number of running cycles in the historical record data, is the actual value of the j-th data index of the i-th cycle data, y ^j is the theoretical value of the j-th data index, and b is the total number of repairs of the elevator components during operation. As the practical frequency of the elevator increases, the elevator All equipment in the elevator has wear and tear, and the deviation between the data collected by real-time monitoring and the normal theoretical data is within the error range that ensures the normal operation of the elevator.

After the elevator fails, in order to ensure that emergency rescue personnel can quickly implement rescue, the information management module predicts the failure of the elevator. Preferably, the information management module performs data analysis on the movement cycle of the elevator failure and extracts the information collected by the real-time monitoring module. Real-time monitoring data, the pressure sensor collects the initial weight G of the elevator, the time it takes for the normal elevator to accelerate from standstill to uniform speed is t, and the time it takes to stop from uniform speed to zero speed is recorded as The speed sensor collects speed data during the operation of the elevator. The actual speed is recorded as v, and the standard speed of the elevator's normal operation is recorded as V. The standard speed is the speed value that changes with the operation process when the elevator with an initial weight of G is operating normally. , the normal error of elevator running speed/> Calculate the value of |vV| and determine whether |vV| and/> relationship, when/> When , the moment when the speed change satisfies the inequality is the fault moment, marked as t′, and the initial moment of operation in the operation cycle where the fault occurs is marked as t ₀ . To judge the fault moment and the normal elevator running time, when (t′-t ₀ ) <t, the fault occurs during the acceleration process, and the fault probability _Pi is calculated based on the loss value of the elevator components during the acceleration process.

Further, the information management module determines the specific process of the fault time based on the data analysis of speed, time and pressure, and then calculates the deviation _k i between the fault values of i different elevator components at the fault time t′ and the theoretical values during normal operation. , different data collection indicators correspond to different elevator components, and calculate the failure probability of elevator components corresponding to different data collection indicators. The information management module then predicts the number of failed elevator components based on the failure probability when the elevator fails to obtain the level of the elevator failure, and obtains the number of elevator components that exceed the normal operation threshold by predicting the failure probabilities of different components of the failed elevator. , and predict the fault level based on the cascade relationship between the exceeded elevator components and the corresponding collected data change values. The fault level prediction is to help the emergency rescue personnel determine the rescue difficulty coefficient, so that the emergency rescue personnel can ensure effective rescue while reducing Response time; the location of the emergency rescue personnel, the level of the elevator failure, and the number of people available for rescue will all affect the rescue time. The failure level of the faulty elevator corresponds to the rescue level of different rescue units. The real-time monitoring module uploads the data of the elevator. The signal is monitored, and the backup modules of different backup systems are called to brake and compensate for the elevator operation under abnormal conditions, ensuring that the real-time monitoring module collects real-time data on the operating status, energy-saving status and emergency status of the smart elevator. Different status Switch between each other.

The information management module retrieves the BIM model of the building where the elevator is located. In the BIM model, the elevator emergency stop position and the information about the people trapped in the elevator are synchronized to the BIM model, and BIM technology is used to combine the building and the elevator components in operation. The parameter changes are visually expressed to obtain a three-dimensional visual model, and the push module pushes the visual image and the surveillance video of the trapped people in the elevator to the emergency rescue module, using BIM technology to reproduce the scene of the emergency rescue scene; the information management module uses The real-time monitoring module conducts image analysis on the surveillance video data, uses the dynamic image frame extraction method to process the frame images in the image, and performs status analysis on the trapped persons in the image. Before the emergency rescue personnel arrive at the rescue location, the information management module Conduct dynamic analysis and management of trapped persons, and the call center module manages the communication process of the entire system.

Further, the emergency rescue module includes an automatic trigger unit, a safety central control unit, an emergency analysis unit, a rescue unit, a dynamic management unit, and a backup system. The remote service platform manages the rescue process of the rescue unit through the emergency rescue system. The emergency rescue The rescue process implemented by the module includes the automatic emergency rescue process, the rescue waiting process, and the on-site rescue process. The emergency analysis unit includes a GPS positioning system. The emergency analysis unit conducts analysis on the faulty elevator based on the distress information sent by the trapped persons and the trigger information of the automatic trigger unit. Positioning, the automatic trigger module generates automatic trigger data after being automatically triggered. The dynamic management unit dynamically manages the emergency rescue process, and controls the different stages of the emergency rescue. The automatic trigger unit receives the elevator brake After an out-of-control distress command, the elevator's locked state is automatically turned on, and then the safety central control unit turns on the elevator to automatically run to the nearest leveling floor and open the door to release people.

The call center module is the communication center of the management system. The call center module is connected to the information sending and receiving ends of all rescue units. The trapped people send out distress messages through emergency calls, and the remote server calls different rescue units through the call center module. The identification subunit is used to identify escape information and rescue information. The trapped persons perform correct escape operations according to the instructions of the escape information. When an accident occurs in the elevator, the elevator automatically activates the backup power supply and backup management system. The real-time monitoring module monitors the elevator All data information generated during the operation process is collected, and exception logs, maintenance logs and inspection data are uploaded. The signal anomaly detector of the real-time monitoring module performs signal anomaly detection on the data signals uploaded by components in each operating state of the elevator.

The information management module evaluates the rescue capability levels of different emergency rescue units. First, it obtains the location of the faulty elevator in the rescue information, determines the distance from the different rescue units to the faulty elevator, and calculates the cascading degree between different rescue units. , and then use the rescue time, rescue distance, cascading degree and rescue availability as the rescue efficiency evaluation indicators, and evaluate the rescue capabilities of different rescue units to obtain different rescue capability levels. The rescue capability levels of the rescue units are related to the elevator failure. The real-time monitoring module monitors the operating status of the elevator in real time and directly feeds back the health status of the elevator through the display module; when a signal abnormality occurs during the data collection process of the elevator, the real-time monitoring module monitors the operating status of the elevator through the monitoring video and sensors in the elevator. Determine the situation of trapped persons. When there are no trapped persons, the elevator automatically triggers the locking state, and then the alarm unit of the push module sends elevator maintenance information to the maintenance management module.

The display unit includes a display screen sub-unit, a lighting sub-unit, and a sign sub-unit. The alarm unit includes a light siren, a voice alarm, and an alarm information display. The remote service platform directly communicates with the trapped persons through the display screen sub-unit. During the dialogue, the health status of the elevator will be displayed on the display unit. The rescue difficulty level on the display end of each rescue unit is divided into three levels. The difficulty increases according to the depth of the color. The increasing standard is based on the degree of information coordination. As the rescue time increases, The length of time and the specific rescue difficulty on site, the difficulty of rescue in different rescue stages are constantly rising.

When the present invention is practical, the system includes a remote service platform, an information management module, a real-time monitoring module, a call center module, an emergency rescue module, a maintenance management module, and a push module. The information management module processes the data information generated by the smart elevator. Data analysis, and the level of elevator failure is obtained through collaborative visual analysis and evaluation of information. First, the failure probability of the elevator during normal operation is calculated through data analysis of historical record data. When the elevator fails, combined with the real-time monitoring of the elevator The data and the failure probability of different elevator components of the faulty elevator are used to analyze the fault level of the faulty elevator. The information management module then evaluates the rescue capabilities of different emergency rescue units based on the help information. Finally, the level of the elevator fault is related to the rescue efforts of the rescue units. Matching the levels of capabilities, the information management module establishes an information visualization model based on elevator data information, and realizes information collaboration between rescue units and trapped persons by pushing visual information on elevator information, breaking information barriers and improving wisdom. The efficiency of elevator rescue can visually display the data dynamically generated during the rescue process, which improves the efficiency of dynamic monitoring of smart communities. The remote service platform uses the analysis results of the information management module to conduct rescue commands for emergency rescuers and trapped persons, improving improve the level of resource decision-making optimization during the rescue process.

The above is a further detailed description of the present invention in conjunction with specific embodiments. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to relevant technical features, and technical solutions after these modifications or substitutions will fall within the protection scope of the present invention.

Claims (9)

1. The smart elevator multi-party collaborative rescue management system is characterized by including a remote service platform, information management module, real-time monitoring module, call center module, emergency rescue module, maintenance management module, and push module. In the rescue management system: The remote service platform remotely commands the emergency rescue process of the elevator through the server, and the push module sends visual information of data analysis to emergency rescue personnel. The push module includes a display unit, an alarm unit, and a push unit; The real-time monitoring module performs real-time monitoring on the operation of the elevator through a signal anomaly detector, a sensor unit and an environmental monitoring unit to obtain real-time monitoring data; The information management module performs data analysis on the data information generated by the smart elevator, obtains the level of elevator failure through collaborative visual analysis and evaluation of information, and then establishes an information visualization model based on the level of elevator failure and rescue-related information to optimize rescue. According to the plan, when an abnormal operation occurs in the elevator, the trapped person sends a distress message through the call center module and triggers the emergency rescue module to perform automatic emergency rescue. The remote service platform sends emergency rescue instructions based on the distress message of the trapped person; The information management module performs data analysis based on the real-time monitoring data and historical record data of abnormal smart elevators to obtain the fault probability P _i of the elevator fault assessment, where i is the subscript of the faulty component, and then obtains the level of the elevator fault based on the fault probability. The maintenance records of the elevator are recorded in the historical record data; The information management module determines adjacent emergency rescue units based on the distress information and the sending location of the elevator's abnormal alarm signal, determines the arrival time of the emergency rescue personnel through the GPS system, and then determines the rescue capability level through the evaluation and analysis of the emergency rescue unit data. Number H; The information management module then performs video image analysis based on the monitoring data in the real-time monitoring data to determine the situation of the trapped persons, and builds a three-dimensional visual model based on all the data information of the elevator. The push module pushes the visual model to the emergency rescue module. While waiting for rescue, the updated data of the real-time monitoring module is dynamically updated in the three-dimensional visualization model; The mobilizable emergency rescue personnel of the emergency rescue module perform on-site rescue according to the three-dimensional visual model of the elevator accident. During the on-site rescue process, the information management module dynamically analyzes the changes in data information, and the remote service platform combines the on-site rescue with The rescue decision-making optimization is carried out based on the rescue time of the process, the three-dimensional visualization model and the status of the trapped persons. 2. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the sensor unit includes a pressure sensor, a speed sensor, a light sensor, a temperature sensor, a humidity sensor, a height sensor, and a video monitor. and an oxygen concentration detector. The information management module evaluates and analyzes the operating status of the elevator based on historical record data. Taking each operating cycle of the elevator as a unit, it divides the operating process of the elevator into an acceleration process, a uniform speed process, and a deceleration process. In the three processes of elevator operation, the historical record data generated by the elevator components running in different operations are recorded as a set, and the loss functions of the elevator components in different operations are calculated. The calculation process is as follows: Among them, L(w) is the loss value of data generated by the elevator components running in different operations. The error value corresponding to the actual value and the theoretical value during the operation is recorded as w _i . m is the data collection index of the elevator component during the operation. Number, n is the number of running cycles in the historical record data, is the actual value of the j-th data index of the i-th cycle data, y ^j is the theoretical value of the j-th data index, and b is the total number of maintenance times of elevator components during operation. 3. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the information management module performs data analysis on the movement cycle of the elevator failure, extracts the real-time monitoring data collected by the real-time monitoring module, pressure The sensor collects the initial weight G of the elevator. The time it takes for a normal elevator to accelerate from rest to a uniform speed is t. The time it takes to stop from a uniform speed to a speed of zero is recorded as t ^* . The speed sensor collects speed data during the operation of the elevator. , the actual speed is recorded as v, and the standard speed of the elevator's normal operation is recorded as V. The standard speed is the speed value that changes with the operation process when the elevator with an initial weight of G is operating normally, and the normal error of the elevator's operating speed. Calculate the value of |vV| and determine whether |vV| and/> relationship, when/> When , the moment when the speed change satisfies the inequality is the fault moment, marked as t′, and the initial moment of operation in the operation cycle where the fault occurs is marked as t ₀ . To judge the fault moment and the normal elevator running time, when (t′-t ₀ ) <t, the fault occurs during the acceleration process, and the fault probability _Pi is calculated based on the loss value of the elevator components during the acceleration process. 4. The smart elevator multi-party collaborative rescue management system according to claim 3, characterized in that the information management module determines the specific process of the fault moment based on data analysis of speed, time and pressure, and then calculates the fault moment i The deviation k _i between the fault values of different elevator components and the theoretical values during normal operation. Different data collection indicators correspond to different elevator components. Calculate the failure probabilities of elevator components corresponding to different data collection indicators. The information management module then predicts the number of failed elevator components based on the failure probability when the elevator fails to obtain the level of the elevator failure. 5. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the information management module retrieves the BIM model of the building where the elevator is located, and in the BIM model, the emergency stop position of the elevator and the trapped persons in the elevator are The personnel information is synchronized to the BIM model, and BIM technology is used to visually express the parameter changes of the building and the elevator components in operation to obtain a three-dimensional visual model, and the push module pushes the visual image and the monitoring video of the trapped people in the elevator. to the emergency rescue module. 6. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the emergency rescue module includes an automatic trigger unit, a safety central control unit, an emergency analysis unit, a rescue unit, a dynamic management unit, and a backup power supply. The rescue process implemented by the emergency rescue module includes an automatic emergency rescue process, a rescue waiting process, and an on-site rescue process. The automatic triggering unit automatically activates the locked state of the elevator after receiving a rescue command indicating that the elevator has lost control of its brakes, and then the safety central control unit When the elevator is turned on, it will automatically run to the nearest flat floor and open the door to release people. 7. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the call center module is the communication center of the management system, and the call center module is connected to the information sending and receiving ends of all rescue units. People send out distress information through emergency calls, and the remote server calls different rescue units through the call center module. The identification subunit is used to identify escape information and rescue information. The trapped people perform correct escape operations according to the instructions of the escape information. When the elevator fails In the event of an accident, the backup power supply and backup management system are automatically activated when the elevator is running. The real-time monitoring module collects all data information generated during the elevator operation and uploads abnormal logs, maintenance logs and inspection data. 8. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the information management module evaluates the rescue capability levels of different emergency rescue units, first obtaining the location of the faulty elevator in the rescue information, Determine the distance from different rescue units to the faulty elevator, calculate the cascading degree between different rescue units, and then use the rescue time, rescue distance, cascading degree and rescue availability as rescue efficiency evaluation indicators to evaluate the rescue of different rescue units. The ability is evaluated to obtain different rescue capability levels. The rescue capability level of the rescue unit is matched with the level of the elevator failure. The real-time monitoring module monitors the operating status of the elevator in real time and directly feeds back the health status of the elevator through the display module. . 9. The smart elevator multi-party collaborative rescue management system according to claim 1, characterized in that the display unit includes a display screen sub-unit, a lighting sub-unit, and a sign sub-unit, and the alarm unit includes a lighting siren, a voice Alarms, alarm information displays, and remote service platforms communicate directly with trapped persons through the display sub-unit.