A multi-elevator state synchronization monitoring system and method for high floors

Abstract

The present invention discloses a multi-elevator state synchronous monitoring system and method applied to high floors, and relates to the technical field of elevator operation monitoring. The system comprises a collection trigger module, a density monitoring module, a crowd analysis module and an elevator dispatching module which are operated in sequence; the technical key points are as follows: the system can monitor the crowd and their body area in the elevator and the waiting area on the floor in real time, and dynamically adjust the stop and passage strategy of the elevator according to these data, which greatly improves the intelligence level of elevator dispatching, enables the elevator to respond flexibly according to the actual situation, and reduces unnecessary stops and congestion; by accurately calculating the total body area of ​​passengers that the elevator can accommodate, and monitoring the body area of ​​each person in the waiting crowd, the system can allocate elevator resources more reasonably; this effectively reduces the waiting time of passengers, avoids excessive crowding, and thus improves the passengers' elevator riding experience.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator operation supervision, and in particular to a system and method for synchronously supervising the states of multiple elevators applied to high floors. Background Art

[0002] Elevator operation supervision refers to a series of activities and measures to comprehensively supervise and manage the operation status, safety, efficiency and passenger riding experience of elevators; this supervision involves many aspects, including but not limited to real-time status monitoring, regular maintenance, safety inspections, emergency rescue and intelligent management of elevators;

[0003] Specifically, elevator operation supervision includes the following key aspects:

[0004] Condition monitoring: By installing sensors and monitoring systems, key parameters such as the position, load, direction of operation, and door status of the elevator are monitored in real time; these data help to promptly detect abnormal conditions in the operation of the elevator, such as overload, overspeed, or stagnation; Safety inspection and maintenance: Regular safety inspections are carried out on elevators, including key components such as the elevator machine room, control system, car, and door system; at the same time, maintenance is carried out according to the prescribed cycle to ensure that the elevator is in good working condition; Emergency rescue: Establish a complete emergency rescue mechanism, including the formulation of emergency plans, the deployment of professional rescue personnel and equipment; when an elevator fails or people are trapped, it can respond quickly and implement rescue; Intelligent management: Use modern information technology, such as the Internet of Things (IoT), big data analysis, and artificial intelligence (AI), to process and analyze elevator operation data. This helps to predict the maintenance needs of elevators, optimize scheduling strategies, and improve operating efficiency; Training and publicity: Regular training is carried out for elevator operators and maintenance personnel to improve their professional skills and safety awareness; at the same time, elevator safety knowledge is promoted to the public to enhance passengers' safety awareness.

[0005] However, when monitoring the status of multiple elevators on high floors, the following problems may arise when multiple elevators on high floors are running synchronously: during the rush hour, each elevator is usually full of people, but people getting off work on each floor will press the elevator button. When the load does not exceed a fixed value, the elevator full of people or goods will stop at each floor, but people who press the elevator button on each floor cannot enter. The elevator will stop, start, close and restart on each floor in a cycle, which will not only waste time but also greatly reduce the working efficiency of the elevator. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the deficiencies in the prior art, the present invention provides a system and method for synchronously monitoring the status of multiple elevators applied to high floors. The system can monitor the people and their body sizes and areas in the elevators and waiting areas on the floors in real time, and dynamically adjust the elevator's stop and passage strategies based on these data, which greatly improves the intelligence level of elevator scheduling; by accurately calculating the total body sizes and areas of the passengers that the elevator can accommodate, and monitoring the body sizes and areas of each person in the waiting crowd, the system can more reasonably allocate elevator resources, improve passengers' elevator experience, and solve the problems raised in the background technology.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] A multi-elevator state synchronous monitoring system applied to high floors, comprising: the system comprises a collection trigger module, a density monitoring module, a crowd analysis module and an elevator dispatching module which operate in sequence;

[0011] The acquisition trigger module obtains the real-time status data of each elevator in the same office building and triggers the supervision mechanism within the calibrated time interval. The operation of the supervision mechanism relies on the density monitoring module, the crowd analysis module and the elevator dispatching module.

[0012] The density monitoring module collects the real-time density of objects in the corresponding elevator and retrieves the load of the corresponding elevator when the elevator is running in the downward direction. Before the load in the corresponding elevator reaches the maximum value, the real-time density of objects in the corresponding elevator is compared with the set density threshold. When the real-time density of objects does not exceed the density threshold, a first-level adjustment instruction is issued; otherwise, a second-level adjustment instruction is issued; when the load in the corresponding elevator reaches or exceeds the maximum value, an alarm signal is issued;

[0013] The crowd analysis module, in the downward direction of the elevator, receives a first-level adjustment instruction before the corresponding elevator arrives at the next floor, and executes the crowd analysis strategy for the corresponding floor; if it receives a second-level adjustment instruction before the corresponding elevator arrives at the next floor, it does not execute the crowd analysis strategy and directly sends a passing signal to the elevator;

[0014] The elevator dispatching module, under the condition that a stop signal is received before the corresponding elevator arrives at the next floor, executes a secondary analysis strategy to screen out the two people with the smallest body area in the waiting crowd on the corresponding floor, and statistically calculates the sum of the body areas of the two screened people. If the sum of the body areas is still lower than the total area, the auxiliary display unit will not be triggered; otherwise, the auxiliary display unit will be triggered. When the elevator arrives at the next floor and the elevator door is opened, the LCD screen configured on the upper wall of the corresponding elevator flips downward, and the selected image of the person with the smallest body area on the corresponding floor is displayed on the LCD screen.

[0015] Furthermore, real-time status data includes elevator position, load and direction of operation; the calibrated time interval is set in advance, and a rule engine is built to take 5pm to 6:30pm as the peak period after get off work, and calibrate it as the time interval for continuously triggering the supervision mechanism.

[0016] Furthermore, the real-time object density in the corresponding elevator includes passengers and items carried by the passengers.

[0017] Furthermore, the process of collecting the real-time object density in the corresponding elevator is as follows:

[0018] Image acquisition: Install cameras inside the elevator to continuously capture real-time images inside the elevator;

[0019] Image processing: pre-process the captured real-time image and use edge detection technology to identify objects in the real-time image;

[0020] Object recognition and segmentation: Apply computer vision algorithms to identify and segment different objects in an image, distinguish between humans and non-human objects, and create a mask for each identified object;

[0021] Area calculation: For each identified object, the pixel area it occupies is calculated based on its mask, and the pixel counting method is used to obtain the occupied area of ​​each object;

[0022] Density calculation: add up the areas occupied by all identified objects to get the total occupied area; divide the total occupied area by the total area of ​​the corresponding elevator floor to get the real-time object density ratio.

[0023] Data update and output: As the objects in the elevator change, the process of collecting the real-time object density in the corresponding elevator continues to update the real-time object density and output the real-time object density data.

[0024] Further, the process of executing the crowd analysis strategy corresponding to the floor is as follows;

[0025] First, the difference between the real-time object density and the density threshold is calculated;

[0026] Then, a total area is dynamically calculated based on the difference. The calculation formula for the total area is as follows:

[0027] ;

[0028] In the formula, represents the total area, my represents the density threshold, wm represents the object density, Indicates the maximum accommodating area of ​​the corresponding elevator floor;

[0029] Finally, when the total area is not lower than the set area index, no response is made; when the total area is lower than the set area index, the matching algorithm is executed, and computer vision technology is used to monitor the body area of ​​each person in the waiting crowd on the corresponding floor, and each person's body area is compared with the total area. If the body area of ​​any person is lower than the total area, a stop signal is sent to the elevator; otherwise, a pass signal is sent to the elevator.

[0030] Furthermore, the method for obtaining the area index is set as follows:

[0031] Get the maximum number of people that can be accommodated in the corresponding elevator and the maximum occupied area of ​​the corresponding elevator floor, then divide the maximum occupied area by the maximum number of people that can be accommodated, and multiply the obtained value by 2 to get the area index;

[0032] The specific formula is: Area index = maximum occupied area / maximum number of people * 2.

[0033] Furthermore, the process of monitoring the size and area of ​​each person in the waiting crowd on the corresponding floor is as follows:

[0034] Call the surveillance probe above the corresponding floor and use it to capture the outline of each person in the waiting crowd on the corresponding floor. The outline is extracted from above and includes the human body and the items it carries. Through computer vision technology, count the number of pixels in each person's outline and convert it into the actual floor space, which is the body area.

[0035] A method for synchronously supervising the status of multiple elevators on high floors comprises the following steps:

[0036] S1. Obtain the real-time status data of each elevator in the same office building and trigger the supervision mechanism within the calibrated time interval, and then run the supervision mechanism in the subsequent steps;

[0037] S2. When the elevator is running in the downward direction, collect the real-time density of objects in the corresponding elevator and retrieve the load of the corresponding elevator. Before the load in the corresponding elevator reaches the maximum value, compare the real-time density of objects in the corresponding elevator with the set density threshold. When the real-time density of objects does not exceed the density threshold, issue a first-level adjustment instruction; otherwise, issue a second-level adjustment instruction; when the load in the corresponding elevator reaches or exceeds the maximum value, issue an alarm signal;

[0038] S3. In the downward direction of the elevator, if a first-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy for the corresponding floor is executed; if a second-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy is not executed and a passing signal is directly issued to the elevator;

[0039] S4. Under the condition that a stop signal is received before the corresponding elevator arrives at the next floor, a secondary analysis strategy is executed to screen out the two people with the smallest body area in the waiting crowd on the corresponding floor, and the sum of the body areas of the two people screened is statistically calculated. If the sum of the body areas is still lower than the total area, the auxiliary display unit is not triggered; otherwise, the auxiliary display unit is triggered, and when the elevator arrives at the next floor and the elevator door is opened, the LCD screen configured on the upper wall of the corresponding elevator flips downward, and the selected image of the person with the smallest body area on the corresponding floor is displayed on the LCD screen.

[0040] (III) Beneficial effects

[0041] The present invention provides a system and method for synchronously monitoring the status of multiple elevators on high floors, which has the following beneficial effects:

[0042] (1) The system can monitor the status of the elevator and the density of objects inside in real time, and promptly detect potential congestion. When the density of objects inside the elevator exceeds the set density threshold, the system will issue an early warning or adjustment instruction, thereby avoiding safety issues that may be caused by overcrowding.

[0043] (2) Through a reasonable scheduling and early warning mechanism, passengers can use the elevator more smoothly, avoiding long waiting times and congestion, thereby improving the passenger experience; when the load in the elevator reaches or exceeds the maximum value, the system will issue an alarm signal to promptly remind relevant personnel to take measures to prevent safety accidents caused by overloading;

[0044] (3) The system can monitor the size and area of ​​the crowd in the elevator and the waiting area on the floor in real time, and dynamically adjust the elevator's stop and passage strategies based on this data. This greatly improves the intelligence level of elevator dispatching, enabling the elevator to respond flexibly according to actual conditions, reducing unnecessary stops and congestion. By accurately calculating the total size and area of ​​the passengers that the elevator can accommodate and monitoring the size and area of ​​each person in the waiting crowd, the system can allocate elevator resources more reasonably. This effectively reduces the waiting time of passengers and avoids overcrowding, thereby improving the passengers' elevator experience.

[0045] (4) The selected image display function on the LCD screen provides passengers with intuitive visual guidance, allowing them to quickly determine whether they can take the elevator. This intelligent information display method improves the interaction efficiency between people and the elevator system, making elevator scheduling more efficient and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a modular schematic diagram of a multi-elevator state synchronous monitoring system applied to high floors in the present invention;

[0047] Figure 2A real scene diagram for use in an elevator room in the present invention is shown;

[0048] Figure 3 The present invention is an overall flow chart of a method for synchronously supervising the status of multiple elevators on high floors. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Research and development concept:

[0051] An elevator is a vertical transportation tool. It consists of a car, guide rails, a traction machine, a control system, etc. It can transport people and goods up and down in a building. At present, elevators have become a necessity for high-rise buildings. With the continuous advancement of technology, the trend of elevator management is becoming more and more intelligent, such as intelligent management: using technologies such as the Internet of Things and big data to achieve intelligent management of elevators; green and environmental management: using energy-saving and environmentally friendly elevator equipment and management methods; service-oriented management: focusing on passenger needs and providing more humane and convenient elevator services;

[0052] When monitoring the status of multiple elevators on high floors, the following problems may occur when multiple elevators on high floors are running synchronously: during the rush hour after get off work, each elevator is usually full of people, but people leaving get off work on each floor will press the elevator button. When the load does not exceed a fixed value, the elevator full of people or goods will stop at each floor, but people who press the elevator button on each floor cannot enter. The elevator stops, starts, closes, and restarts on each floor in a cycle, which not only wastes time, but also greatly reduces the working efficiency of the elevator, which in turn affects the mood of people during the rush hour after work. Therefore, how to monitor and manage the operating status of the elevator so that during the rush hour after work, elevators with carrying space can stop and carry passengers on the corresponding floor, and elevators without carrying space can be directly arranged to be transported to the first floor, so as to improve the working efficiency of the elevator and reduce the waiting time for the elevator on high floors.

[0053] Example 1

[0054] See also Figure 1 to Figure 2 ,This embodiment provides a multi-elevator state synchronous monitoring system applied to high floors, the system includes a collection trigger module, a density monitoring module, a crowd analysis module and an elevator dispatching module that operate in sequence;

[0055] Acquisition trigger module:

[0056] In the same office building, the real-time status data of each elevator is obtained, and the supervision mechanism is triggered within the calibrated time interval. The operation of this supervision mechanism depends on the subsequent density monitoring module, crowd analysis module and elevator dispatching module;

[0057] Real-time status data includes elevator position, load, and direction of travel;

[0058] For example, the system starts collecting data on each elevator and floor before the rush hour. For example, an elevator is currently on the 10th floor, with a load of 70% and a downward direction.

[0059] The calibrated time interval is set in advance, corresponding to the normal peak period of getting off work. A rule engine is built, with 5pm to 6:30pm as the peak period of getting off work, and it is calibrated as the time interval for continuously triggering the supervision mechanism;

[0060] Density monitoring module:

[0061] Under the condition that the elevator is running in the downward direction, the real-time density of objects in the corresponding elevator is collected, and the load of the corresponding elevator is retrieved. Before the load in the corresponding elevator reaches the maximum value, the real-time density of objects in the corresponding elevator is compared with the set density threshold. When the real-time density of objects does not exceed the density threshold, a first-level adjustment instruction is issued; when the real-time density of objects exceeds the density threshold, a second-level adjustment instruction is issued; when the load in the corresponding elevator reaches or exceeds the maximum value, an alarm signal is issued;

[0062] The real-time density of objects in the elevator includes passengers and items carried by passengers, such as gift boxes and express carts distributed by the company during holidays. To monitor and calculate the real-time density of objects in the elevator, sensor fusion technology can be used in combination with computer vision and image processing methods.

[0063] Therefore, the process of collecting the real-time object density in the corresponding elevator is as follows:

[0064] Image acquisition: Install a high-definition camera inside the elevator to ensure that the entire elevator space is covered; the camera continuously captures real-time images inside the elevator;

[0065] Image processing: pre-processing the captured real-time images, including noise removal and contrast enhancement, to improve the accuracy of subsequent analysis; using edge detection or background subtraction technology to identify dynamic objects in the image (passengers, boxes, cars, etc.);

[0066] Object recognition and segmentation: Apply computer vision algorithms (such as deep learning models) to identify and segment different objects in an image; distinguish between people and non-human objects (such as boxes and cars), and create a mask for each identified object;

[0067] Area calculation: For each identified object, the pixel area it occupies is calculated based on its mask, and the pixel counting method is used to estimate the occupied area of ​​each object;

[0068] Density calculation: Add the areas occupied by all identified objects to get the total occupied area; divide the total occupied area by the total area of ​​the elevator floor to get the real-time object density ratio; this density ratio can be expressed as the percentage of space occupied by objects in the elevator.

[0069] Data update and output: As the objects in the elevator change, the above process needs to be continued to update the real-time object density; the calculated real-time object density data is output;

[0070] Density threshold setting:

[0071] A density threshold is set according to the rated load and safety standards of the elevator. In this embodiment, the density threshold is 80%. When the density of objects in the elevator exceeds 80%, it means that the elevator is fully loaded or has reached the critical value of congestion. This is a preset value, representing the upper limit of the passenger density in the elevator. When this value is reached, the elevator should theoretically not accept more passengers to ensure safety and comfort.

[0072] Real-time monitoring and early warning: Through the acquisition trigger module and density monitoring module, the system can monitor the status of the elevator and the density of objects inside in real time, and promptly detect potential congestion; when the density of objects in the elevator exceeds the set density threshold, the system will issue an early warning or adjustment instruction, thereby avoiding safety problems that may be caused by overcrowding;

[0073] Intelligent scheduling and optimization: Based on real-time collected data, the elevator scheduling module can schedule elevators more intelligently and optimize the operating efficiency of elevators, which can not only reduce passengers' waiting time but also improve the overall operating efficiency during the rush hour.

[0074] Improve passenger experience: Through reasonable scheduling and early warning mechanisms, passengers can use elevators more smoothly, avoiding long waiting times and congestion, thus improving the passenger experience;

[0075] Enhanced safety: When the load in the elevator reaches or exceeds the maximum value, the system will send out an alarm signal to promptly remind relevant personnel to take measures to prevent safety accidents caused by overloading;

[0076] In summary, this technical solution effectively solves the problems of elevator congestion and unreasonable scheduling during peak hours through real-time monitoring, intelligent scheduling and early warning mechanisms, improves the operating efficiency and safety of elevators, and also improves the passenger experience.

[0077] Crowd analysis module:

[0078] In the downward direction of the elevator, a first-level adjustment instruction is received before the next floor that the corresponding elevator arrives at, and the cycle continues, and the crowd analysis strategy for the corresponding floor is executed;

[0079] First, the difference between the real-time object density and the density threshold is calculated;

[0080] Then, a total area is dynamically calculated based on the difference, which represents the total area of ​​the passengers that the elevator can accommodate. The formula for dynamically calculating the total area is as follows:

[0081] ;

[0082] In the formula, represents the total area, my represents the density threshold, wm represents the object density, Indicates the maximum accommodating area of ​​the corresponding elevator floor;

[0083] The logic of the above formula is to calculate the area of ​​the elevator that can accommodate more passengers based on the difference between the real-time density of the elevator and the density threshold. When the real-time density is lower than the density threshold, it means that there is still space in the elevator to accommodate more passengers. By calculating the difference percentage, we can understand how much "spare" density is available, and then calculate the total area of ​​the passengers that can be accommodated.

[0084] Finally, when the total area is not lower than the set area index, no response is made; when the total area is lower than the set area index, the matching algorithm is executed, using computer vision technology to monitor the body area of ​​each person in the waiting crowd on the corresponding floor, and compare the body area of ​​each person with the total area. If the body area of ​​any person is lower than the total area, a stop signal is sent to the elevator; otherwise, a passing signal is sent to the elevator.

[0085] The method for obtaining the area indicator set here is:

[0086] Get the maximum number of people that can be accommodated in the corresponding elevator and the maximum occupied area of ​​the corresponding elevator floor, then divide the maximum occupied area by the maximum number of people that can be accommodated, and multiply the obtained value by 2 to get the area index;

[0087] The specific formula is: Area index = maximum occupied area / maximum number of people * 2;

[0088] The area index indicates the area required when the elevator can accommodate two more people. When the total area is not less than the set area index, it means that the remaining space of the elevator can accommodate at least two more people. When the total area is less than the set area index, it means that the remaining space of the elevator cannot accommodate two people at most. At this time, the space in the elevator can accommodate one person at most. Therefore, it is necessary to judge the body area of ​​any type of people in the waiting crowd on each floor to be passed in the process of the elevator descending. If it is judged that there are people in the waiting crowd on a certain floor who can continue to get on the elevator, the elevator needs to stop at this floor. Otherwise, the elevator does not stop to save time.

[0089] The process of monitoring the size and area of ​​each person in the waiting crowd on the corresponding floor is as follows:

[0090] The surveillance camera above the corresponding floor is called to capture the outline of each person in the waiting crowd on the corresponding floor. The outline is extracted from above and includes the human body and the items it carries. Computer vision technology is used to count the number of pixels in each person's outline and convert it into the actual floor space, which is the body area.

[0091] Reference Figure 2 It can be seen that the body areas of the three people on the corresponding floor are S1, S2 and S3 respectively. Through subsequent comparison, it can be concluded that the body areas of the three people from small to large are S1, S3 and S2, so the two people with the smallest body areas are S1 and S3, and the person with the smallest body area is S1;

[0092] If a secondary adjustment instruction is received before the corresponding elevator reaches the next floor, the crowd analysis strategy is not executed and a passing signal is directly issued to the elevator;

[0093] The elevator dispatching module, when receiving a stop signal before the next floor to which the corresponding elevator arrives, executes a secondary analysis strategy to select the two people with the smallest body area in the waiting crowd on the corresponding floor, and statistically calculates the sum of the body areas of the two people selected. If the sum of the body area is still lower than the sum of the areas, the auxiliary display unit is not triggered;

[0094] (The premise is that if the above judgment is that the body area of ​​any one person is lower than the total area, it is possible that the person is larger and exceeds the two smaller people, or only the smallest person is lower than the total area);

[0095] On the contrary, it means that only the person with the smallest body area can take the elevator, and the auxiliary display unit is triggered. When the elevator reaches the next floor and opens the elevator door, the LCD screen configured on the upper wall of the corresponding elevator flips down, and displays the selected image of the person with the smallest body area on the corresponding floor on the LCD screen, so as to assist the people waiting for the elevator to quickly determine whether they can take the elevator;

[0096] The LCD screen calls up the image of the corresponding surveillance camera on that floor, and uses a red frame to filter out the frame image of the person with the smallest body area, which is the selected image. After seeing the selected image, people waiting for the elevator can quickly choose whether to take the elevator.

[0097] Real-time monitoring and intelligent dispatching: The system can monitor the density and size of people in the elevator and the waiting area on the floor in real time, and dynamically adjust the elevator's stop and passage strategies based on these data. This greatly improves the intelligence level of elevator dispatching, enabling the elevator to respond flexibly according to actual conditions, reducing unnecessary stops and congestion;

[0098] Improved riding experience: By accurately calculating the total body area of ​​the passengers that the elevator can accommodate and monitoring the body area of ​​each person in the waiting crowd, the system can allocate elevator resources more reasonably; this effectively reduces the waiting time of passengers and avoids overcrowding, thereby improving the riding experience of passengers; at the same time, by displaying the selected image on the LCD screen, it helps people waiting for the elevator to make quick judgments, further ensuring an improved riding experience;

[0099] Enhanced safety: Through real-time monitoring and early warning mechanisms, the system can issue adjustment instructions or alarm signals in time before the elevator is overloaded or overcrowded, effectively preventing safety accidents caused by overload;

[0100] Optimize information display and interaction: The selected image display function on the LCD screen provides passengers with intuitive visual guidance, allowing passengers to quickly determine whether they can take the elevator. This intelligent information display method improves the interaction efficiency between people and the elevator system, making elevator dispatch more efficient and convenient;

[0101] In summary, this technical solution effectively solves the problem of elevator crowd scheduling and management during peak hours through real-time monitoring, intelligent scheduling and optimized information display, and improves the operating efficiency, safety and passenger experience of elevators.

[0102] Example 2

[0103] See also Figure 3 Based on Example 1, this embodiment also provides a method for synchronously monitoring the status of multiple elevators applied to high floors, including the following specific steps:

[0104] S1. Obtain the real-time status data of each elevator in the same office building and trigger the supervision mechanism within the calibrated time interval, and then run the supervision mechanism in the subsequent steps;

[0105] S2. When the elevator is running in the downward direction, collect the real-time density of objects in the corresponding elevator and retrieve the load of the corresponding elevator. Before the load in the corresponding elevator reaches the maximum value, compare the real-time density of objects in the corresponding elevator with the set density threshold. When the real-time density of objects does not exceed the density threshold, issue a first-level adjustment instruction; otherwise, issue a second-level adjustment instruction; when the load in the corresponding elevator reaches or exceeds the maximum value, issue an alarm signal;

[0106] S3. In the downward direction of the elevator, if a first-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy for the corresponding floor is executed; if a second-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy is not executed and a passing signal is directly issued to the elevator;

[0107] S4. Under the condition that a stop signal is received before the corresponding elevator arrives at the next floor, a secondary analysis strategy is executed to screen out the two people with the smallest body area in the waiting crowd on the corresponding floor, and the sum of the body areas of the two people screened is statistically calculated. If the sum of the body areas is still lower than the total area, the auxiliary display unit is not triggered; otherwise, the auxiliary display unit is triggered, and when the elevator arrives at the next floor and the elevator door is opened, the LCD screen configured on the upper wall of the corresponding elevator flips downward, and the selected image of the person with the smallest body area on the corresponding floor is displayed on the LCD screen.

[0108] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0109] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A multi-elevator status synchronization monitoring system applied to high floors, characterized by: The system includes a collection trigger module, a density monitoring module, a crowd analysis module and an elevator dispatching module which operate in sequence; The acquisition trigger module obtains the real-time status data of each elevator in the same office building and triggers the supervision mechanism within the calibrated time interval. The operation of the supervision mechanism relies on the density monitoring module, the crowd analysis module and the elevator dispatching module. The density monitoring module collects the real-time density of objects in the corresponding elevator and retrieves the load of the corresponding elevator when the elevator is running in the downward direction. Before the load in the corresponding elevator reaches the maximum value, the real-time density of objects in the corresponding elevator is compared with the set density threshold. When the real-time density of objects does not exceed the density threshold, a first-level adjustment instruction is issued; otherwise, a second-level adjustment instruction is issued; when the load in the corresponding elevator reaches or exceeds the maximum value, an alarm signal is issued; wherein, the real-time density of objects in the corresponding elevator includes passengers and items carried by passengers; The process of collecting the real-time object density in the corresponding elevator is as follows: Image acquisition: Install cameras inside the elevator to continuously capture real-time images inside the elevator; Image processing: pre-process the captured real-time image and use edge detection technology to identify objects in the real-time image; Object recognition and segmentation: Apply computer vision algorithms to identify and segment different objects in an image, distinguish between humans and non-human objects, and create a mask for each identified object; Area calculation: For each identified object, the pixel area it occupies is calculated based on its mask, and the pixel counting method is used to obtain the occupied area of ​​each object; Density calculation: add up the areas occupied by all identified objects to get the total occupied area; divide the total occupied area by the total area of ​​the corresponding elevator floor to get the real-time object density ratio; Data update and output: As the objects in the elevator change, the process of collecting the real-time object density in the corresponding elevator continues to update the real-time object density and output the real-time object density data; The crowd analysis module, in the downward direction of the elevator, receives a first-level adjustment instruction before the corresponding elevator arrives at the next floor, and executes the crowd analysis strategy for the corresponding floor; if it receives a second-level adjustment instruction before the corresponding elevator arrives at the next floor, it does not execute the crowd analysis strategy and directly sends a passing signal to the elevator; The process of executing the crowd analysis strategy corresponding to this floor is as follows; First, the difference between the real-time object density and the density threshold is calculated; Then, a total area is dynamically calculated based on the difference. The calculation formula for the total area is as follows: ； In the formula, represents the total area, my represents the density threshold, wm represents the object density, Indicates the maximum accommodating area of ​​the corresponding elevator floor; Finally, when the total area is not lower than the set area index, no response is made; when the total area is lower than the set area index, the matching algorithm is executed, using computer vision technology to monitor the body area of ​​each person in the waiting crowd on the corresponding floor, and compare the body area of ​​each person with the total area. If the body area of ​​any person is lower than the total area, a stop signal is sent to the elevator; otherwise, a passing signal is sent to the elevator. The method for obtaining the area index is as follows: Get the maximum number of people that can be accommodated in the corresponding elevator and the maximum occupied area of ​​the corresponding elevator floor, then divide the maximum occupied area by the maximum number of people that can be accommodated, and multiply the obtained value by 2 to get the area index; The specific formula is: Area index = maximum occupied area / maximum number of people * 2; The process of monitoring the size and area of ​​each person in the waiting crowd on the corresponding floor is as follows: The surveillance camera above the corresponding floor is called to capture the outline of each person in the waiting crowd on the corresponding floor. The outline is extracted from above and includes the human body and the items it carries. Computer vision technology is used to count the number of pixels in each person's outline and convert it into the actual floor space, which is the body area. The elevator dispatching module, under the condition that a stop signal is received before the corresponding elevator arrives at the next floor, executes a secondary analysis strategy to screen out the two people with the smallest body area in the waiting crowd on the corresponding floor, and statistically calculates the sum of the body areas of the two screened people. If the sum of the body areas is still lower than the total area, the auxiliary display unit will not be triggered; otherwise, the auxiliary display unit will be triggered. When the elevator arrives at the next floor and the elevator door is opened, the LCD screen configured on the upper wall of the corresponding elevator flips downward, and the selected image of the person with the smallest body area on the corresponding floor is displayed on the LCD screen.

2. A multi-elevator status synchronization monitoring system for high floors according to claim 1, characterized in that: Real-time status data includes elevator position, load and direction of operation. The calibrated time interval is set in advance, and a rule engine is built to take 5pm to 6:30pm as the peak period after get off work, and it is calibrated as the time interval for continuously triggering the supervision mechanism.

3. A method for synchronously monitoring the status of multiple elevators on high floors, using any system described in claims 1 to 2, characterized in that: The steps include: S1. Obtain the real-time status data of each elevator in the same office building and trigger the supervision mechanism within the calibrated time interval, and then run the supervision mechanism in the subsequent steps; S2. When the elevator is running in the downward direction, collect the real-time density of objects in the corresponding elevator and retrieve the load of the corresponding elevator. Before the load in the corresponding elevator reaches the maximum value, compare the real-time density of objects in the corresponding elevator with the set density threshold. When the real-time density of objects does not exceed the density threshold, issue a first-level adjustment instruction; otherwise, issue a second-level adjustment instruction; when the load in the corresponding elevator reaches or exceeds the maximum value, issue an alarm signal; Among them, the real-time object density in the corresponding elevator includes passengers and items carried by passengers; The process of collecting the real-time object density in the corresponding elevator is as follows: Image acquisition: Install cameras inside the elevator to continuously capture real-time images inside the elevator; Image processing: pre-process the captured real-time image and use edge detection technology to identify objects in the real-time image; Object recognition and segmentation: Apply computer vision algorithms to identify and segment different objects in an image, distinguish between humans and non-human objects, and create a mask for each identified object; Area calculation: For each identified object, the pixel area it occupies is calculated based on its mask, and the pixel counting method is used to obtain the occupied area of ​​each object; Density calculation: add up the areas occupied by all identified objects to get the total occupied area; divide the total occupied area by the total area of ​​the corresponding elevator floor to get the real-time object density ratio; Data update and output: As the objects in the elevator change, the process of collecting the real-time object density in the corresponding elevator continues to update the real-time object density and output the real-time object density data; S3. In the downward direction of the elevator, if a first-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy for the corresponding floor is executed; if a second-level adjustment instruction is received before the corresponding elevator arrives at the next floor, the crowd analysis strategy is not executed and a passing signal is directly issued to the elevator; The process of executing the crowd analysis strategy corresponding to this floor is as follows; First, the difference between the real-time object density and the density threshold is calculated; Then, a total area is dynamically calculated based on the difference. The calculation formula for the total area is as follows: ； In the formula, represents the total area, my represents the density threshold, wm represents the object density, Indicates the maximum accommodating area of ​​the corresponding elevator floor; Finally, when the total area is not lower than the set area index, no response is made; when the total area is lower than the set area index, the matching algorithm is executed, using computer vision technology to monitor the body area of ​​each person in the waiting crowd on the corresponding floor, and compare the body area of ​​each person with the total area. If the body area of ​​any person is lower than the total area, a stop signal is sent to the elevator; otherwise, a passing signal is sent to the elevator. The method for obtaining the area index is as follows: Get the maximum number of people that can be accommodated in the corresponding elevator and the maximum occupied area of ​​the corresponding elevator floor, then divide the maximum occupied area by the maximum number of people that can be accommodated, and multiply the obtained value by 2 to get the area index; The specific formula is: Area index = maximum occupied area / maximum number of people * 2; The process of monitoring the size and area of ​​each person in the waiting crowd on the corresponding floor is as follows: The surveillance camera above the corresponding floor is called to capture the outline of each person in the waiting crowd on the corresponding floor. The outline is extracted from above and includes the human body and the items it carries. Computer vision technology is used to count the number of pixels in each person's outline and convert it into the actual floor space, which is the body area. S4. Under the condition that a stop signal is received before the corresponding elevator arrives at the next floor, a secondary analysis strategy is executed to screen out the two people with the smallest body area in the waiting crowd on the corresponding floor, and the sum of the body areas of the two people screened is statistically calculated. If the sum of the body areas is still lower than the total area, the auxiliary display unit is not triggered; otherwise, the auxiliary display unit is triggered, and when the elevator arrives at the next floor and the elevator door is opened, the LCD screen configured on the upper wall of the corresponding elevator flips downward, and the selected image of the person with the smallest body area on the corresponding floor is displayed on the LCD screen.

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