Intelligent control method for multi-door elevator car

Abstract

The invention provides an intelligent control method for a multi-door elevator car. The intelligent control method comprises the steps that current elevator operation environment information is collected; according to the current elevator operation environment information, a plurality of elevator use routes for passengers to select are generated; after the elevator is started and moves along the selected elevator using route, real-time using state information of elevator passengers is collected; whether current use of the passengers is reasonable or not is judged according to the real-time use state information of the passengers, if not, the passengers are prompted to adjust corresponding use, an executing mechanism is controlled to automatically adjust the use state of the elevator car, and if not, the use state is kept unchanged. The use efficiency of the elevator and the comfort level of passengers can be improved, the waiting time and the crowding degree are reduced, and the safety and the intelligent level of the elevator are improved.

Description

Technical Field

[0001] The present invention relates to the field of elevator control systems, and more specifically, to an intelligent control method for a multi-door elevator car. Background Art

[0002] Existing elevator systems usually use simple automatic control technologies, such as operating based on a preset floor stop sequence and a fixed schedule. These systems often cannot adapt to the real-time changes in passenger demand and the elevator operating environment. During peak hours, elevators may become crowded due to too many passengers, while during non-peak hours, the operating efficiency of elevators may be reduced due to the lack of passengers. In addition, traditional elevator systems lack monitoring of the internal environment of the elevator, such as temperature and humidity, and cannot identify and avoid obstacles, which may lead to a poor passenger experience and even affect passenger safety in an emergency.

[0003] The operating efficiency and passenger experience of elevators are affected by many factors, including the elevator dispatching algorithm, passenger flow prediction, the comfort of the elevator's internal environment, and the elevator's safety performance. Existing technologies often focus on the mechanical performance and basic operating safety of elevators, while ignoring the optimization of passenger experience and the intelligent management of the elevator operating environment. For example, an elevator may encounter obstacles during operation, but traditional elevator systems lack effective obstacle recognition and avoidance mechanisms, which may cause elevator operation interruptions or passenger inconvenience.

[0004] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing elevator control system cannot intelligently adjust the elevator's usage route and operation strategy according to real-time environmental information and passenger usage status, resulting in the inability to effectively optimize the elevator's operating efficiency and passenger experience when passenger demand changes in different time periods and on different floors. In addition, the existing elevator system lacks flexible response measures when facing emergencies or special events, and cannot quickly adjust the elevator's operating status to adapt to emergencies. Summary of the invention

[0005] The present invention provides a multi-door elevator car intelligent control method, comprising: Collect current elevator operating environment information; Generate multiple elevator routes for passengers to choose from according to the current elevator operating environment information; After the elevator starts and moves along the elevator usage route selected above, real-time usage status information of elevator passengers is collected; The system determines whether the passenger's current usage is reasonable based on the passenger's real-time usage status information. If it is not reasonable, the passenger is prompted to adjust the corresponding usage, and the actuator is controlled to automatically adjust the usage status of the elevator car. Otherwise, the usage status remains unchanged.

[0006] Furthermore, the current elevator operating environment information includes at least one of the temperature and humidity inside the elevator, external information of the floor, obstacle position coordinates, and characteristic information of each part.

[0007] Furthermore, collecting the current elevator operating environment information further includes: The temperature and humidity in the elevator are collected through temperature and humidity sensors; Through the depth camera, collect the current elevator operation environment image; Through the depth camera, collect the external information of each floor; The current elevator operating environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain the obstacle position coordinates and feature information of each part. The current floor image is subjected to image preprocessing, image enhancement, and personnel detection and recognition in sequence to obtain density information of each floor.

[0008] Furthermore, the current elevator operation environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain obstacle position coordinates and feature information of each part, further including: Detecting the elevator area in the current elevator operation environment image; The elevator area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain an elevator operation environment image with enhanced features; Obstacle positioning and obstacle contour recognition are performed on the feature-enhanced elevator operating environment image to obtain obstacle position coordinates and position information of each point on the obstacle contour as feature information of each part.

[0009] Furthermore, the current images of each floor are sequentially subjected to image preprocessing, image enhancement, and personnel detection and recognition, further including: Detect the elevator waiting area in the current floor image; The elevator waiting area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain a feature-enhanced elevator waiting area image; Performing personnel detection and recognition on the image of the elevator waiting area with enhanced features, and obtaining the area and number of personnel in the elevator waiting area on each floor as floor external information; The floor image is an image of the area directly in front of the elevator at each floor where the elevator stops; The elevator waiting area is a square area directly in front of the elevator, and the square area is the entire area of ​​the square directly in front of the elevator.

[0010] Furthermore, the real-time usage status information of the elevator passengers includes at least one of the number of people in the car, the degree of crowding in the car, and the waiting time of passengers.

[0011] Furthermore, collecting the real-time usage status information of the elevator passengers further includes: The number of people in the elevator car is collected by the number sensor installed in the elevator car as the number of people in the car; The waiting time of passengers is collected by a timer installed in the elevator car as the passenger waiting time.

[0012] Furthermore, according to the current elevator operating environment information and the current floor external information, a plurality of elevator use routes for passengers to choose are generated, further comprising: Obtain the density C of people on the waiting floor based on the external information of the floor; ; In the formula, C i is the population density of the ith floor, F i is the number of people in the waiting area on the i-th floor, S i is the area of ​​the elevator waiting area on the i-th floor; Arrange the population density of each floor in the elevator area from large to small to form a first arrangement group, arrange the population density inside the current elevator from small to large, and form a second arrangement group corresponding to the corresponding elevators, form a one-to-one correspondence between each elevator in the second arrangement group and the floor at the same position in the first arrangement group, and take the corresponding floor as the preferred floor, and take the floor after the floor at the same position as the alternative floor.

[0013] Furthermore, the execution mechanism further comprises: A door control regulator, comprising a servo motor and a regulating device connected in sequence in the elevator car door area, and a door control fixing base for fixing the servo motor and the regulating device; The servo motor is used to drive the corresponding servo motor to drive the corresponding adjustment device to change the usage status of the corresponding area when the current passenger usage is unreasonable, so as to reduce or disperse the number of people in the car, or adjust the waiting time of the passengers to reduce the waiting time; The regulating device is used to adjust the use state of the elevator car under the drive of the corresponding servo motor.

[0014] Furthermore, the preferred floors and the alternative floors generate all possible elevator use routes as planned routes by using obstacle avoidance rules; the obstacle avoidance rule is that the distance to the obstacle is always greater than or equal to a preset value; Get the waiting time for each of the above planned routes; From the above planned routes, the route with a waiting time of less than or equal to 30 seconds is selected as the recommended route during off-peak hours, the route with a waiting time of 30 seconds to 60 seconds is selected as the recommended route during peak hours, and the route with a waiting time of more than 60 seconds is selected as the recommended route for special events, so that passengers can choose one of them as the selected elevator usage route.

[0015] The above-mentioned embodiments of the present invention have at least the following beneficial effects: by adopting the intelligent control method of multi-door elevator cars, it is possible to effectively collect and analyze the elevator operating environment information, combine the density of people inside the elevator with the density of people waiting on the floor, form a one-to-one correspondence, and intelligently generate multiple elevator use routes for passengers to choose, thereby improving the efficiency of elevator use and the comfort of passengers. In addition, the system can also judge whether the current use of passengers is reasonable based on the real-time use status information of passengers, such as the number of people in the car and the waiting time of passengers, and automatically adjust the use status of the elevator car when necessary to maintain or restore a reasonable use status.

[0016] In addition, the intelligent control method can also use machine learning technologies such as vector machines to determine whether the elevator route is suitable for use, further improving the safety and intelligence level of elevator operation. The application of this method can reduce elevator operation interruptions caused by environmental changes or obstacles, ensuring that passengers can obtain stable and reliable elevator services under various circumstances. At the same time, by intelligently adjusting the use status of the elevator car, it can reduce the waiting time of passengers and improve the operating efficiency of the elevator, especially during peak hours, which can effectively alleviate congestion and provide passengers with a more comfortable and convenient elevator experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which: Figure 1 A schematic flow chart of a multi-door elevator car intelligent control method provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0018] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0019] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0020] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0021] Reference below Figure 1 , Figure 1 The figure is a flow chart of a multi-door elevator car intelligent control method provided by an embodiment of the present invention. Figure 1 As shown, a multi-door elevator car intelligent control method 100 includes: Step 101, collecting current elevator operating environment information; Step 102, generating a plurality of elevator use routes for passengers to select according to the current elevator operation environment information; Step 103, after the elevator starts and moves along the selected elevator usage route, real-time usage status information of elevator passengers is collected; Step 104, judging whether the passenger's current use is reasonable based on the passenger's real-time use status information, and prompting the passenger to adjust the corresponding use if it is not reasonable, and controlling the actuator to automatically adjust the use status of the elevator car, otherwise, maintaining the use status unchanged.

[0022] It should be noted that this embodiment relates to a multi-door elevator car intelligent control method, which generates multiple elevator routes for passengers to choose by collecting the current elevator operating environment information. The elevator operating environment information here refers to various environmental parameters and states inside the elevator, such as temperature, humidity, floor external information, etc. The purpose of collecting this information is to more accurately judge the use status of the elevator, so as to provide passengers with more reasonable use suggestions.

[0023] Specifically, the collection of elevator operating environment information can be achieved through a variety of sensors. For example, temperature and humidity sensors can monitor the temperature and humidity inside the elevator in real time, while depth cameras can capture images inside the elevator to identify obstacles and floor environments. The data collected by these sensors will be input into the control system, and the system will generate multiple possible elevator routes based on these data for passengers to choose according to actual conditions.

[0024] It should be noted that the elevator route refers to the path that passengers take from entering the elevator to reaching the destination floor, which includes the vertical movement of the elevator and the horizontal movement of passengers inside the building. In specific application scenarios, the optimization of the elevator route can significantly improve the elevator's operating efficiency and passenger experience.

[0025] Exemplarily, the specific application scenarios of the present invention may be: 1. Commercial centers and office buildings: The optimization of elevator usage routes can be adjusted according to passenger flow during peak hours. For example, through intelligent scheduling algorithms, elevators can give priority to floors with high demand, thereby reducing passenger waiting time and congestion.

[0026] 2. Hospitals and nursing homes: In these places, the optimization of elevator routes can take into account the special needs of patients and the elderly. For example, dedicated elevator routes can be set up to ensure that patients and the elderly can reach their destination quickly and safely.

[0027] 3. Residential areas: In residential areas, the optimization of elevator usage routes can take into account the daily activity patterns of residents. For example, the operation strategy of the elevator can be adjusted during peak hours (such as morning commuting time) to reduce the waiting time of residents.

[0028] 4. Emergency response: In emergencies or special events, such as fires or earthquakes, optimization of elevator usage routes can ensure that passengers can evacuate quickly. For example, elevators can be programmed to go directly to a specific safe floor, or automatically stop service in an emergency to prevent passengers from being trapped.

[0029] 5. Barrier-free design: For passengers with limited mobility, the optimization of elevator usage routes can ensure that elevators can accommodate wheelchairs and other assistive devices. For example, the width of the elevator door, the height and location of the buttons can all be designed to meet barrier-free standards.

[0030] For example, in the present invention, obstacles generally refer to objects that may prevent the elevator door from opening and closing normally, affect the elevator's safe operation, or cause inconvenience to passengers. These obstacles may include, but are not limited to, luggage, shopping carts, wheelchairs, maintenance equipment, or other items left at the elevator door. In the intelligent elevator control system, the recognition and avoidance of obstacles is an important safety feature that can improve the elevator's operating efficiency and the safety of passengers. For ease of understanding, specifically, 1. If the elevator door encounters an obstacle when closing, it may cause the door to deform or be damaged. Through obstacle detection technology, such as radar monitoring of the sensitivity of obstacles, the elevator can stop the door closing action in time to avoid damage and potential safety accidents.

[0031] 2. During the operation of the elevator, if there are obstacles in the shaft, it may pose a threat to the safety of the elevator. Through radar monitoring technology, the elevator system can monitor the environment in the shaft in real time to ensure that appropriate safety measures are taken in the presence of obstacles, such as slowing down or stopping operation, thereby improving the safety of passengers.

[0032] 3. During elevator maintenance, obstacles may hinder the maintenance personnel's work. The smart elevator system can detect these obstacles through sensors and remind the maintenance personnel to ensure the smooth progress of maintenance work.

[0033] 4. For passengers with limited mobility, such as those using wheelchairs, elevators need to have sufficient space and appropriate sensing technology to detect these special obstacles and ensure that the elevator doors can remain open so that passengers can enter and exit the elevator safely.

[0034] 5. In emergency situations, such as fire or earthquake, the elevator system may need to quickly identify and avoid obstacles in order to quickly evacuate passengers. Smart elevator systems can quickly plan barrier-free evacuation routes through obstacle detection technology.

[0035] 6. During peak hours, the intelligent elevator system can predict and monitor passenger flow and intelligently adjust the elevator's operation strategy to reduce waiting time and congestion. This intelligent scheduling algorithm can take into account obstacles inside and outside the elevator, optimize the elevator's usage route, and improve operation efficiency.

[0036] Preferably, the elevator control system can further refine the collected parameters and the algorithm for generating routes. For example, the system can automatically adjust the elevator's air conditioning and ventilation systems based on the real-time data of temperature and humidity in the elevator and the preset comfort zone to improve passenger comfort. At the same time, the system can also identify obstacles inside the elevator by analyzing the images captured by the depth camera and avoid these obstacles when generating the elevator usage route. In addition, the system can also dynamically adjust the elevator's operation strategy based on the frequency of elevator use and passenger flow to reduce passenger waiting time.

[0037] In some embodiments, the current elevator operating environment information includes at least one of the temperature and humidity inside the elevator, external information of each floor, obstacle location coordinates, and feature information of each part.

[0038] It should be noted that the elevator operating environment information mentioned in this embodiment includes at least one of the temperature and humidity inside the elevator, external information of each floor, obstacle location coordinates, and characteristic information of each part. The external information of each floor refers to the density or number of people waiting outside the elevator when the elevator stops at different floors.

[0039] Specifically, the temperature and humidity in the elevator can be monitored in real time through temperature and humidity sensors, while the external information of each floor can be collected through depth cameras installed in the floor. The coordinates of the obstacle position can be extracted from the image captured by the camera through image processing technology, such as obstacle detection algorithm. The collection and processing of this information provides rich data for the elevator control system, enabling it to more accurately evaluate the use of the elevator and generate appropriate usage routes accordingly.

[0040] Preferably, the elevator control system can use advanced image processing algorithms to improve the accuracy of obstacle detection. For example, an algorithm based on deep learning can be used to identify and locate obstacles, thereby obtaining the location coordinates of the obstacles more accurately.

[0041] Furthermore, the system can dynamically adjust the collection frequency according to the actual use of the elevator to ensure that the latest environmental information can be obtained in different time periods. In the collection of floor external information, the system can set different parameter thresholds to meet the special needs of different floors. For example, during peak hours, the system may pay more attention to the degree of congestion, while during non-peak hours, it may pay more attention to the operating efficiency of the elevator.

[0042] In some embodiments, collecting the current elevator operating environment information further includes: The temperature and humidity in the elevator are collected through temperature and humidity sensors; Through the depth camera, collect the current elevator operation environment image; Through the depth camera, collect the external information of each floor; The current elevator operating environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain the obstacle position coordinates and feature information of each part. The current floor image is subjected to image preprocessing, image enhancement, and personnel detection and recognition in sequence to obtain density information of each floor.

[0043] It should be noted that this embodiment describes in detail the process of collecting the current elevator operating environment information, which includes collecting the temperature and humidity in the elevator through the temperature and humidity sensor, and collecting the image of the elevator operating environment and the images of each floor through the depth camera. The depth camera is a device that can capture three-dimensional information of the environment, which can help the system identify obstacles and external information of the floor more accurately.

[0044] Specifically, the temperature and humidity sensor can be set to automatically collect data at regular intervals, such as once a minute, while the depth camera can continuously monitor the situation inside the elevator and the people waiting for the elevator on each floor. The collected image data will undergo image preprocessing, including denoising, contrast enhancement and other steps to improve the accuracy of subsequent processing.

[0045] More specifically, the recognition of external information on each floor may involve the use of machine learning algorithms to distinguish the features of different floors, while obstacle recognition may be achieved using edge detection or deep learning models. Image enhancement and obstacle contour feature extraction can be further refined to use specific image processing techniques such as histogram equalization or morphological operations.

[0046] Preferably, the system can adopt more advanced image processing techniques, such as semantic segmentation based on deep learning, to more accurately identify and classify different objects in the elevator and the environment of each floor.

[0047] In addition, the system can also set an adaptive collection frequency to dynamically adjust the frequency of data collection according to the usage of the elevator to reduce unnecessary calculations and improve response speed.

[0048] Furthermore, in terms of obstacle recognition, the system can combine multiple sensor data, such as LiDAR or ultrasonic sensors, to improve the robustness of obstacle detection.

[0049] In some embodiments, the current elevator operation environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain obstacle position coordinates and feature information of each part, further comprising: Detecting the elevator area in the current elevator operation environment image; The elevator area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain an elevator operation environment image with enhanced features; Obstacle positioning and obstacle contour recognition are performed on the feature-enhanced elevator operating environment image to obtain obstacle position coordinates and position information of each point on the obstacle contour as feature information of each part.

[0050] In some embodiments, performing image preprocessing, image enhancement, and personnel detection and recognition on the current images of each floor in sequence further includes: Detect the elevator waiting area in the current floor image; The elevator waiting area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain a feature-enhanced elevator waiting area image; Performing personnel detection and recognition on the image of the elevator waiting area with enhanced features, and obtaining the area and number of personnel in the elevator waiting area on each floor as floor external information; The floor image is an image of the area directly in front of the elevator at each floor where the elevator stops; The elevator waiting area is a square area directly in front of the elevator, and the square area is the entire area of ​​the square directly in front of the elevator.

[0051] It should be noted that this embodiment further describes how to obtain external information of each floor, obstacle location coordinates, and feature information of each part by performing a series of image processing steps on the elevator operating environment image and the floor image. Image preprocessing refers to processing the original image to improve the accuracy of subsequent analysis, identification of external information of each floor refers to determining the density of people waiting for elevators on different floors in the image, obstacle identification refers to identifying the existence of obstacles in the image, image enhancement refers to improving the image quality for better analysis, and obstacle contour feature extraction refers to extracting the shape and location information of the obstacle from the image.

[0052] Specifically, the preprocessing steps of the elevator operating environment image and the floor image may include using Gaussian filtering to reduce image noise and enhancing edge information through image sharpening. The enlargement and detail processing of the elevator area may involve local enlargement of the image and application of Gaussian low-pass filtering to smooth the image, and then image sharpening to highlight important features.

[0053] More specifically, the recognition of external information on each floor may involve the use of machine learning algorithms to analyze features in the image, such as personnel detection and recognition. Obstacle location and contour recognition may use edge detection algorithms, such as the Canny edge detector, to identify obstacle contours in the image.

[0054] Preferably, the system can use more advanced image processing techniques, such as deep learning-based image segmentation methods, to more accurately identify external information features and obstacles on each floor. The system can also use multi-scale analysis methods to improve the accuracy of obstacle detection. For example, edge detection algorithms can be applied at different image scales to identify obstacles of different sizes.

[0055] Furthermore, the system can combine multiple sensor data, such as infrared sensors or laser rangefinders, to assist the image processing step and improve the accuracy of environmental information and obstacle location coordinates.

[0056] In some embodiments, generating a plurality of elevator use routes for passengers to select based on the current elevator operating environment information and the current floor external information further includes: Obtain the density of people on the waiting floor C based on the external information of the floor; ; In the formula, C i is the population density of the ith floor, F i is the number of people in the waiting area on the i-th floor, S i is the area of ​​the elevator waiting area on the i-th floor; Arrange the density of people on each floor of the elevator area from large to small to form a first arrangement group, arrange the density of people inside the current elevator from small to large, and form a second arrangement group corresponding to the corresponding elevators, form a one-to-one correspondence between each elevator in the second arrangement group and the floor at the same position in the first arrangement group, and take the corresponding floor as the preferred floor, and take the floor next to the floor at the same position as the alternative floor; For example, if the order of the first group is 3rd floor, 1st floor, 2nd floor, and the order of the second group is elevator 1, elevator 3, elevator 2, then the first choice floor of elevator 1 is 3rd floor, and the alternative floor is 1st floor, the first choice floor of elevator 3 is 1st floor, and the alternative floor is 2nd floor, the first choice floor of elevator 2 is 2nd floor, and since there is no floor after 2nd floor, elevator 2 has no alternative floor; If the density of people inside the elevator is too high and it stops at the floor corresponding to the elevator waiting area with a similarly high density of people, the number of people that can continue to increase inside the elevator will be small. Even if the elevator stops at that floor, it cannot achieve the best effect of carrying people, which not only wastes the time of people inside the elevator, but also increases the running time of the elevator and the energy consumption generated when the elevator stops.

[0057] Furthermore, along the preferred floors and the alternative floors, all possible elevator use routes are generated as planned routes by using obstacle avoidance rules; the obstacle avoidance rule is that the distance to the obstacle is always greater than or equal to a preset value; Get the waiting time for each of the above planned routes; From the above planned routes, the route with a waiting time of less than or equal to 30 seconds is selected as the recommended route during off-peak hours, the route with a waiting time of 30 seconds to 60 seconds is selected as the recommended route during peak hours, and the route with a waiting time of more than 60 seconds is selected as the recommended route for special events, so that passengers can choose one of them as the selected elevator usage route.

[0058] It should be noted that this embodiment describes in detail how to generate multiple elevator routes for passengers to choose based on the internal information of the elevator and the external information of each floor.

[0059] Specifically, the calculation method of the population density inside the elevator is the same as that of the population density on the floor. It is obtained by dividing the number of people in the elevator by the area of ​​the elevator. By determining the population density inside the elevator and the population density on the floor and forming a corresponding relationship, the floor where the elevator can achieve the best loading effect is given priority from the perspective of population density. Therefore, the system can filter out floors that meet the conditions from all floors and generate possible elevator usage routes based on the rules of avoiding obstacles.

[0060] Furthermore, the system can dynamically adjust the criteria for selecting alternative routes according to different time periods of the day or different days of the week to adapt to changes in passenger flow. When selecting alternative routes, the system not only considers waiting time, but also factors such as the total travel time and energy consumption of the route to generate a more comprehensive elevator usage route.

[0061] It should be noted that this embodiment involves collecting real-time usage status information of elevator passengers, which includes key indicators such as the number of people in the car, the area of ​​the car, and the waiting time of passengers. This information is crucial for evaluating the efficiency of elevator use and the comfort of passengers. Here, the number of people in the car refers to the number of passengers in the elevator counted in real time, and the waiting time of passengers refers to the time passengers need to wait from entering the elevator to reaching the destination floor.

[0062] Specifically, the number of people in the car can be collected by a number sensor installed in the elevator car, which can be based on infrared, weight sensing or video analysis technology. The area of ​​the car can be evaluated by image processing technology combined with a camera installed in the car, or by collecting area information of the car in advance. Passenger waiting time can be calculated based on passenger requests and elevator response times recorded by the elevator control system. These data can be transmitted to the central control system in real time to monitor and optimize the operation of the elevator.

[0063] Preferably, the system can use more advanced sensors and algorithms to improve the accuracy and real-time nature of data collection. For example, deep learning-based image recognition technology can be used to more accurately estimate the number of people in the car.

[0064] Furthermore, the system can also use machine learning algorithms to predict passenger flow in different time periods, thereby adjusting the elevator's operating strategy in advance and reducing passengers' waiting time. During the data collection process, the system can also set thresholds, and automatically trigger alarms or adjust measures when the number of people detected exceeds these thresholds.

[0065] In some embodiments, collecting real-time usage status information of elevator passengers further includes: The number of people in the elevator car is collected by the number sensor installed in the elevator car as the number of people in the car; The waiting time of passengers is collected by a timer installed in the elevator car as the passenger waiting time.

[0066] It should be noted that this embodiment describes how to collect real-time usage status information of elevator passengers, including monitoring the number of people in the car and the waiting time of passengers through specific sensors. Here, the number sensor refers to a device used to count the number of passengers in the elevator car in real time, providing the system with direct data on the usage status of the elevator.

[0067] Specifically, the number of people in the car can be collected by infrared sensors, weight sensing sensors or video analysis sensors. These sensors can monitor and count the number of passengers in the car in real time and send the data to the control system. In addition, image recognition technology can be used to capture internal image data by installing cameras in the elevator car, and then use image processing technology to analyze the distribution of passengers and space occupancy. Passenger waiting time can be collected by a timer installed in the elevator car, which records the time from the passenger entering the car to the elevator starting to move.

[0068] Preferably, the system can use high-precision sensors to improve the accuracy of data collection. For example, a high-resolution camera can be used with advanced image processing algorithms to more accurately count the number of people and assess the degree of crowding.

[0069] Furthermore, the system can also optimize the calculation method of waiting time by analyzing the movement patterns of passengers and the frequency of elevator use. During the data collection process, the system can also set adaptive thresholds to automatically adjust the elevator's operation strategy or issue an alarm when an abnormal situation is detected.

[0070] In some embodiments, judging whether the passenger's current use is reasonable based on the passenger's real-time use status information, prompting the passenger to adjust the corresponding use when it is unreasonable, and controlling the actuator to automatically adjust the use status of the elevator car further includes: A preset number of people P1 and a preset waiting time P2 are set in advance; Compare the number of people in the car with the preset value P1 to determine whether the number is reasonable. If the two are inconsistent, it is determined to be unreasonable, and a warning is issued to remind passengers to reduce the number of people, and the actuator is controlled to adjust the opening time of the elevator door accordingly until the number of people is reasonable; Compare the passenger waiting time with the preset value 2 to determine whether the waiting time is reasonable. If the two are inconsistent, it is determined to be unreasonable, and a warning is issued to prompt the passenger to choose another elevator, and the actuator is controlled to adjust the running speed of the elevator accordingly until the waiting time is reasonable; More specifically, the preset value Reflects the impact of the current number of people on passenger comfort. When there are too many people, the temperature in the elevator rises and it becomes more crowded, and passengers may feel more uncomfortable, so a larger For example, studies in elevator design and ergonomics have determined that at a given temperature and number of passengers, the space requirement for passengers increases.

[0071] Default Value Consider the impact of elevator waiting time on passenger flow and comfort. In high temperatures, the longer the elevator waiting time, the less patient passengers will be and the less comfortable they will feel; passengers would rather wait less to enter the elevator.

[0072] Specifically, the preset value 1 P1 and the preset value 2 P2 can be obtained based on historical surveys of people's satisfaction with elevators. These preset values ​​correspond to the number of people in the car and the waiting time, respectively. For example, the preset value 1 P1 may represent the ideal number of people in the car. After comparing the number of people in the car with P1, if the number of people is too large, the system will issue a warning and take measures to reduce the number of people.

[0073] Preferably, the system can use a more sophisticated algorithm to calculate these preset values. For example, machine learning techniques can be used to dynamically adjust the coefficients based on historical data and pattern recognition to make the preset values ​​more accurate.

[0074] Furthermore, the system can also temporarily adjust preset values ​​based on real-time data, such as holidays or special events, to adapt to different usage scenarios. When implementing adjustment measures, the system can not only control the opening time of the elevator door, but also adjust the elevator's operating speed or environmental control parameters such as lighting and air conditioning to improve passenger comfort and safety.

[0075] In some embodiments, the actuator further comprises: A door control regulator, comprising a servo motor and a regulating device connected in sequence in the elevator car door area, and a door control fixing base for fixing the servo motor and the regulating device; The servo motor is used to drive the corresponding servo motor to drive the corresponding adjustment device to change the usage status of the corresponding area when the current passenger usage is unreasonable, so as to reduce or disperse the number of people in the car, or adjust the waiting time of the passengers to reduce the waiting time; The regulating device is used to adjust the use state of the elevator car under the drive of the corresponding servo motor.

[0076] It should be noted that this embodiment describes the specific composition and function of the actuator, which includes a door control regulator, which is composed of a servo motor and an adjustment device, and is fixed on a door control fixed base. The servo motor is used to drive the adjustment device when the passenger uses it unreasonably, so as to change the use state of the elevator car, reduce or disperse the number of people, or adjust the waiting time of the passengers to reduce the waiting time. The adjustment device adjusts the use state of the elevator car under the drive of the servo motor.

[0077] Specifically, the servo motor in the door control regulator can accurately control the opening and closing of the elevator door according to the system instructions, and the regulating device may include a retractable door stop or door wing to adjust the door opening width or direction when necessary. The coordinated work of these components can realize the automatic adjustment of the use status of the elevator car to adapt to different passenger usage. For example, when the system detects that there are too many people in the car, the servo motor can drive the regulating device to extend the door opening time so that passengers can enter and exit quickly and reduce congestion.

[0078] Preferably, the system can further refine the design of the actuator to improve its response speed and adjustment accuracy. For example, the servo motor can be equipped with a more advanced feedback control system to achieve more precise speed and position control. The adjustment device can adopt a variety of different designs, such as pneumatic or hydraulic door stops, to adapt to different elevator models and usage requirements.

[0079] Furthermore, the system may also integrate sensors, such as pressure sensors or infrared sensors, to monitor the status inside the car in real time and dynamically adjust the working mode of the actuator according to the monitoring results.

[0080] In some embodiments, the method further comprises the step of determining whether the current floor is suitable for use: Obtain the temperature and humidity in the elevator, the degree of congestion on each floor, the width of the elevator door, the length of the floor directly in front, the coordinates of the obstacle position, and the position information of each point on the obstacle outline; The temperature and humidity in the elevator, the degree of crowding on each floor, the width of the elevator door, the length of the floor directly in front, the coordinates of the obstacle position, and the position information of each point on the obstacle outline are input into a pre-trained vector machine to obtain a judgment result on whether the current elevator route is suitable for use.

[0081] It should be noted that this embodiment involves a method of using a vector machine to determine whether the current floor is suitable for use. A vector machine is a supervised learning algorithm, commonly used for classification and regression analysis. In this method, a vector machine is trained to determine whether the elevator's route is suitable based on data such as the temperature and humidity in the elevator, the degree of crowding on each floor, the width of the elevator door, the length of the floor directly in front, the coordinates of the obstacle position, and the position information of each point on the obstacle outline.

[0082] Specifically, the input of the vector machine is the environmental parameters in the elevator and on each floor, including temperature, humidity, crowding, etc., as well as information about obstacles. These parameters are used as feature vectors and input into the vector machine model. During the training phase, the vector machine model uses labeled data to learn how to judge the suitability of the elevator route based on these feature vectors. For example, the training data may include records of whether the elevator is used smoothly under different environmental conditions. By analyzing this data, the vector machine learns how to classify new input vectors as suitable or unsuitable.

[0083] Preferably, the system can use more complex feature engineering techniques to improve the judgment accuracy of the vector machine. For example, the original data can be normalized, or feature selection methods can be used to remove unimportant features, thereby improving the performance of the model.

[0084] Furthermore, the system can also use cross-validation and other techniques to optimize the model's hyperparameters, such as regularization parameters, kernel function types, etc., to obtain the best classification effect. In actual operation, the system can also combine real-time monitoring data and historical usage data to dynamically adjust the vector machine model to adapt to changes in elevator usage.

[0085] The above-mentioned embodiments of the present invention have the following beneficial effects: The multi-door elevator car intelligent control method of the present invention can significantly improve the operating efficiency of the elevator system and the riding experience of passengers. The method collects elevator operating environment information in real time, and based on this, generates multiple elevator usage routes for passengers to choose, so that the elevator can dynamically adjust the operation strategy according to the real-time situation, and effectively respond to the different needs during peak and non-peak hours. In addition, the method monitors the passenger usage status in real time and automatically adjusts the usage status of the elevator car when necessary, so as to ensure that the elevator responds in time when it is crowded or the waiting time is too long, thereby reducing the waiting time of passengers and improving the operating efficiency of the elevator.

[0086] Furthermore, by using advanced sensor technologies such as temperature and humidity sensors and depth cameras, combined with image processing and machine learning algorithms, this method can accurately identify the environmental conditions and obstacle locations inside and outside the elevator, thereby generating an elevator route that avoids obstacles. This method can not only improve the safety of elevator operation, but also quickly adjust the elevator's operating strategy in an emergency to adapt to the changing operating environment. At the same time, by intelligently controlling the opening time of the elevator door and the internal layout of the car, passengers can be dispersed during congestion, reducing congestion and improving passenger comfort and satisfaction.

[0087] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0088] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A multi-door elevator car intelligent control method, characterized in that: include: Collect current elevator operating environment information; Generate multiple elevator routes for passengers to choose from according to the current elevator operating environment information; After the elevator starts and moves along the selected elevator usage route, real-time usage status information of elevator passengers is collected; Determine whether the passenger's current use is reasonable based on the passenger's real-time use status information. If it is not reasonable, prompt the passenger to adjust the corresponding use, and control the actuator to automatically adjust the use status of the elevator car. Otherwise, maintain the use status unchanged; According to the current elevator operating environment information and the current floor external information, multiple elevator use routes are generated for passengers to choose, further including: Obtain the density of people on the waiting floor C based on the external information of the floor; ； In the formula, C i is the population density of the ith floor, F i is the number of people in the waiting area on the i-th floor, S i is the area of ​​the elevator waiting area on the i-th floor; Arrange the population density of each floor in the elevator area from large to small to form a first arrangement group, arrange the population density inside the current elevator from small to large, and form a second arrangement group corresponding to the corresponding elevators, form a one-to-one correspondence between each elevator in the second arrangement group and the floor at the same position in the first arrangement group, and take the corresponding floor as the preferred floor, and take the floor after the floor at the same position as the alternative floor.

2. The multi-door elevator car intelligent control method according to claim 1, characterized in that: The current elevator operating environment information includes at least one of the temperature and humidity inside the elevator, external information of the floor, obstacle position coordinates, and characteristic information of each part.

3. The multi-door elevator car intelligent control method according to claim 2, characterized in that: Collecting the current elevator operating environment information further includes: The temperature and humidity in the elevator are collected through temperature and humidity sensors; Through the depth camera, collect the current elevator operation environment image; Through the depth camera, collect the external information of each floor; The current elevator operating environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain the obstacle position coordinates and feature information of each part. The current floor image is subjected to image preprocessing, image enhancement, and personnel detection and recognition in sequence to obtain density information of each floor.

4. The multi-door elevator car intelligent control method according to claim 3, characterized in that: The current elevator operating environment image is subjected to image preprocessing, obstacle recognition, image enhancement, and obstacle contour feature extraction in sequence to obtain obstacle position coordinates and feature information of each part, further including: Detecting the elevator area in the current elevator operation environment image; The elevator area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain an elevator operation environment image with enhanced features; Obstacle positioning and obstacle contour recognition are performed on the feature-enhanced elevator operating environment image to obtain obstacle position coordinates and position information of each point on the obstacle contour as feature information of each part.

5. The multi-door elevator car intelligent control method according to claim 4, characterized in that: The current images of each floor are sequentially subjected to image preprocessing, image enhancement, and personnel detection and recognition, further including: Detect the elevator waiting area in the current floor image; The elevator waiting area is enlarged, and the image details in the area are subjected to Gaussian low-pass filtering and image sharpening in sequence to obtain an elevator waiting area image with enhanced features; Performing personnel detection and recognition on the image of the elevator waiting area with enhanced features, and obtaining the area and number of personnel in the elevator waiting area on each floor as floor external information; The floor image is an image of the area directly in front of the elevator at each floor where the elevator stops; The elevator waiting area is a square area directly in front of the elevator, and the square area is the entire area of ​​the square directly in front of the elevator.

6. The multi-door elevator car intelligent control method according to any one of claims 1 to 5, characterized in that: The real-time usage status information of the elevator passengers includes at least one of the number of people in the car, the area of ​​the car, and the waiting time of the passengers.

7. The multi-door elevator car intelligent control method according to claim 6, characterized in that: Collecting real-time usage status information of elevator passengers further includes: The number of people in the elevator car is collected by the number sensor installed in the elevator car as the number of people in the car; The waiting time of passengers is collected by a timer installed in the elevator car as the passenger waiting time.

8. The multi-door elevator car intelligent control method according to claim 1, characterized in that: The execution mechanism further comprises: A door control regulator, comprising a servo motor and a regulating device connected in sequence in the elevator car door area, and a door control fixing base for fixing the servo motor and the regulating device; The servo motor is used to drive the corresponding servo motor to drive the corresponding adjustment device to change the usage status of the corresponding area when the current passenger usage is unreasonable, so as to reduce or disperse the number of people in the car, or adjust the waiting time of the passengers to reduce the waiting time; The regulating device is used to adjust the use state of the elevator car under the drive of the corresponding servo motor.

9. The multi-door elevator car intelligent control method according to claim 1, characterized in that: The preferred floors and the alternative floors generate all possible elevator routes as planned routes by avoiding obstacles rules; the obstacle avoidance rules are that the distance to the obstacle is always greater than or equal to a preset value; Get the waiting time for each of the above planned routes; From the above planned routes, the route with a waiting time of less than or equal to 30 seconds is selected as the recommended route during off-peak hours, the route with a waiting time of 30 seconds to 60 seconds is selected as the recommended route during peak hours, and the route with a waiting time of more than 60 seconds is selected as the recommended route for special events, so that passengers can choose one of them as the selected elevator usage route.

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