An intelligent elevator dispatching and linkage control system based on fusion prediction

Abstract

The application discloses an elevator intelligent scheduling and linkage control system based on fusion prediction, which comprises a central control screen module, a building intercom module, an elevator control module, an access control module, a data analysis module, a storage module, a communication module and a safety module; the central control screen module is in communication connection with the building intercom module, the elevator control module and the access control module through the communication module. The application adopts building intercom, access control and elevator multi-system linkage control, and combines an intelligent scheduling algorithm based on fusion prediction, so that the automatic collaborative operation of visitor authorization, access control opening and elevator scheduling is realized, and the elevator operation strategy is optimized according to user behavior requirements, thereby solving the problems of the independent building intercom and elevator system, complicated visitor operation, low traffic efficiency, lack of intelligent scheduling of traditional elevators, long waiting time and poor user experience, and remarkably improving the building traffic efficiency, elevator operation efficiency and overall use experience.

Description

Technical Field

[0001] This invention relates to the field of building intercom technology, and in particular to an intelligent elevator scheduling and linkage control system based on fusion prediction. Background Technology

[0002] In existing technologies, building intercom systems and elevator systems are usually independent of each other. Visitors need to obtain authorization through the intercom system and then manually press the elevator button to go to the target floor. This operation is cumbersome and inefficient. In addition, traditional elevator systems lack intelligent scheduling capabilities and cannot be optimized according to user habits and needs, resulting in long elevator waiting times and poor user experience. In view of the above, this application proposes an elevator intelligent scheduling and linkage control system based on fusion prediction. Summary of the Invention

[0003] Based on the technical problems existing in the background technology, this invention proposes an intelligent elevator scheduling and linkage control system based on fusion prediction.

[0004] The present invention proposes an intelligent elevator scheduling and linkage control system based on fusion prediction, including a central control screen module, a building intercom module, an elevator control module, an access control module, a data analysis module, a storage module, a communication module, and a security module; The central control screen module is connected to the building intercom module, elevator control module and access control module through a communication module; The building intercom module is used for video calls and identity verification between visitors and residents; The elevator control module is used to control the operation and scheduling of the elevator; The access control module is used to control the opening and closing of access control doors; The data analysis module is used to analyze user behavior data and elevator operation data; The storage module is used to store user information, visitor information, and system configuration.

[0005] Preferably, the data analysis module employs a time series analysis method that integrates LSTM (Long Short-Term Memory) network and ARIMA model to achieve elevator demand forecasting.

[0006] Preferably, the elevator control module executes a multi-objective optimization scheduling strategy, which includes maximum passenger capacity, maximum waiting time threshold, reservation time window, and maintenance period avoidance, and supports real-time dynamic adjustment algorithm. The real-time dynamic adjustment algorithm is implemented when a new reservation request arrives and conflicts with the current plan, the actual operation deviation of the elevator exceeds the threshold, or a sudden event occurs.

[0007] Preferably, the central control screen module, data analysis module, security module, elevator control module, and access control module work together to achieve dynamic visitor access management. The dynamic visitor access management includes a temporary access generation algorithm based on multi-factor authentication, a fine-grained access timeliness control mechanism, and visitor trajectory tracking and recording. The operating logic of the temporary permission generation algorithm based on multi-factor authentication is as follows: S501: Residents confirm visitor identity via video call and generate a one-time authorization code, which is a 6-digit number and valid for 5 minutes. S502: The system combines the last four digits of the visitor's mobile phone number, the authorization code, and the current timestamp to generate a permission seed using SHA-256; S503: Encrypt the permission seed generated in S102 using the AES-128-CBC encryption seed to generate the final permission token; S504: The final permission token is pushed to the visitor's mobile phone via SMS or WeChat, and is simultaneously synchronized to the elevator control module.

[0008] Preferably, the fine-grained permission timeliness control mechanism is a three-level timeliness control, specifically: (1) Waiting time limit: After the final permission token is generated, the visitor must arrive at the unit door station for verification within 15 minutes, otherwise it will automatically expire; (2) Elevator access time: After verification, visitors must complete the elevator ride within 10 minutes; otherwise, access will be frozen. (3) Floor validity period: Once the target floor is reached, the token will be automatically cancelled and cannot be used in reverse. The fine-grained permission time-limited control mechanism also has a dynamic renewal mechanism. Residents can extend the time limit for visitors through a mobile APP. Each extension shall not exceed 10 minutes, and the maximum extension shall be 2 times. Two identity verifications are required.

[0009] Preferably, the operational logic for visitor trajectory tracking and recording is as follows: S601: Unit door station verification: Records entry time and verification method, which includes facial recognition, QR code, and intercom authorization; S602: Secondary verification inside the elevator car: Record the elevator ride time, car ID, and floor transition; S603: Target floor access control verification: Record arrival time and departure confirmation; S604: Anomaly Detection: If a visitor stays on a non-target floor for more than the threshold, an alarm will be automatically triggered and the resident will be notified.

[0010] Preferably, the system adopts a WebSocket-based real-time communication protocol and sets up dual channels: a control channel and a data channel. The control channel adopts JSON-RPC 2.0 format, and the data channel adopts binary Protocol Buffers format. The control channel is used for issuing commands, and the data channel is used for reporting status. The real-time communication protocol is configured with heartbeat and reconnection mechanisms, specifically as follows: (1) Heartbeat interval: 30 seconds for control channel and 10 seconds for data channel; (2) Disconnection detection: Three consecutive heartbeat failures are considered a disconnection; (3) Automatic reconnection: Exponential backoff strategy, first 1 second, maximum interval 60 seconds, unlimited retry; (4) Status recovery: The key status during the automatic synchronization of disconnection after reconnection.

[0011] Preferably, the system adopts a unified device management interface. When a new device is connected, the device description is automatically broadcast, and the central control screen module automatically identifies and registers it, without the need for manual configuration of IP address or port number. The system employs SHA-256 and AES-128-CBC encryption algorithms to achieve secure encrypted transmission of permissions and data.

[0012] Compared with existing technologies, the beneficial effects of this invention are: 1. By adopting a multi-system linkage control of building intercom, elevator and access control, it realizes integrated access control with automatic authorization, automatic elevator dispatch and automatic access control after visitor identity is confirmed, which solves the problems of existing systems being independent, cumbersome visitor operation and low access efficiency; 2. An elevator intelligent scheduling algorithm based on fusion prediction is adopted, which realizes the prediction of demand based on user behavior and dynamic optimization of elevator operation strategy, solving the problems of traditional elevators lacking intelligent scheduling, long waiting time and poor user experience. This invention employs multi-system linkage control of building intercom, access control, and elevators, combined with an intelligent scheduling algorithm based on fusion prediction, to achieve fully automated collaborative operation of visitor authorization, access control opening, and elevator scheduling. It also optimizes elevator operation strategies based on user behavior needs, solving the problems of existing building intercom and elevator systems being independent, cumbersome visitor operations, and low passage efficiency, as well as the lack of intelligent scheduling, long waiting times, and poor user experience of traditional elevators. This invention significantly improves building passage efficiency, elevator operation efficiency, and overall user experience. Attached Figure Description

[0013] Figure 1 This is a block diagram of an elevator intelligent scheduling and linkage control system based on fusion prediction proposed in this invention; Figure 2This is a flowchart of the visitor access process in an elevator intelligent scheduling and linkage control system based on fusion prediction proposed in this invention. Figure 3 This is a flowchart of the user elevator reservation process in an elevator intelligent scheduling and linkage control system based on fusion prediction proposed in this invention; Figure 4 This is a flowchart of the intelligent scheduling process in an elevator intelligent scheduling and linkage control system based on fusion prediction proposed in this invention. Detailed Implementation

[0014] The present invention will be further explained below with reference to specific embodiments. Example

[0015] Reference Figure 1-4 This embodiment proposes an elevator intelligent scheduling and linkage control system based on fusion prediction, including a central control screen module, a building intercom module, an elevator control module, an access control module, a data analysis module, a storage module, a communication module, and a security module; The central control panel module communicates with the building intercom module, elevator control module, and access control module via a communication module. The building intercom module is used for video calls and identity verification between visitors and residents; The elevator control module is used to control the operation and scheduling of elevators. The elevator control module executes a multi-objective optimization scheduling strategy, which includes the maximum passenger capacity, the maximum waiting time threshold, the reservation time window, and the maintenance period avoidance. It also supports real-time dynamic adjustment algorithms and implements real-time dynamic adjustment algorithms when new reservation requests arrive and conflict with the current plan, when the actual deviation of the elevator operation exceeds the threshold, or when a sudden event occurs. The access control module is used to control the opening and closing of access control doors; The data analysis module is used to analyze user behavior data and elevator operation data. The data analysis module adopts a time series analysis method that combines LSTM long short-term memory network and ARIMA model to achieve elevator demand forecasting. The storage module is used to store user information, visitor information, and system configuration. The central control screen module, data analysis module, security module, elevator control module and access control module work together to realize dynamic visitor permission management. The dynamic visitor permission management includes a temporary permission generation algorithm based on multi-factor authentication, a fine-grained permission timeliness control mechanism, and visitor trajectory tracking and recording. The operating logic of the temporary permission generation algorithm based on multi-factor authentication is as follows: S501: Residents confirm visitor identity via video call and generate a one-time authorization code, which is a 6-digit number and valid for 5 minutes. S502: The system combines the last four digits of the visitor's mobile phone number, the authorization code, and the current timestamp to generate a permission seed using SHA-256; S503: Encrypt the permission seed generated in S102 using the AES-128-CBC encryption seed to generate the final permission token; S504: The final authorization token is pushed to the visitor's mobile phone via SMS or WeChat, and is simultaneously synchronized to the elevator control module; The fine-grained access control mechanism consists of three levels of time-limited control, specifically: (1) Waiting time limit: After the final permission token is generated, the visitor must arrive at the unit door station for verification within 15 minutes, otherwise it will automatically expire; (2) Elevator access time: After verification, visitors must complete the elevator ride within 10 minutes; otherwise, access will be frozen. (3) Floor validity period: Once the target floor is reached, the token will be automatically cancelled and cannot be used in reverse. The fine-grained permission time-limited control mechanism also has a dynamic renewal mechanism. Residents can extend the time limit for visitors through a mobile APP. Each extension shall not exceed 10 minutes, and the maximum extension shall be 2 times. Two identity verifications are required. The operational logic for visitor trajectory tracking and recording is as follows: S601: Unit door station verification: Records entry time and verification method, which includes facial recognition, QR code, and intercom authorization; S602: Secondary verification inside the elevator car: Record the elevator ride time, car ID, and floor transition; S603: Target floor access control verification: Record arrival time and departure confirmation; S604: Anomaly Detection: If a visitor stays on a non-target floor for more than the threshold, an alarm will be automatically triggered and the resident will be notified. The system adopts a real-time communication protocol based on WebSocket, and sets up dual channels: a control channel and a data channel. The control channel uses JSON-RPC 2.0 format, and the data channel uses binary Protocol Buffers format. The control channel is used for issuing commands, and the data channel is used for reporting status. The real-time communication protocol is configured with heartbeat and reconnection mechanisms, specifically as follows: (1) Heartbeat interval: 30 seconds for control channel and 10 seconds for data channel; (2) Disconnection detection: Three consecutive heartbeat failures are considered a disconnection; (3) Automatic reconnection: Exponential backoff strategy, first 1 second, maximum interval 60 seconds, unlimited retry; (4) Status recovery: The key status during the automatic synchronization of disconnection after reconnection; The system adopts a unified device management interface. When a new device is connected, the device description is automatically broadcast, and the central control screen module automatically recognizes and registers it, without the need for manual configuration of IP address or port number. The system uses SHA-256 and AES-128-CBC encryption algorithms to achieve secure encrypted transmission of permissions and data; This embodiment employs multi-system linkage control of building intercom, access control, and elevators, combined with an intelligent scheduling algorithm based on fusion prediction, to achieve fully automated collaborative operation of visitor authorization, access control opening, and elevator scheduling. It also optimizes elevator operation strategies based on user behavior needs, solving the problems of existing building intercom and elevator systems being independent, cumbersome visitor operations, and low passage efficiency, as well as the lack of intelligent scheduling, long waiting times, and poor user experience of traditional elevators. This significantly improves building passage efficiency, elevator operation efficiency, and overall user experience.

[0016] In this embodiment, the operation logic of the elevator intelligent scheduling and linkage control system based on fusion prediction includes the following steps: S1: Visitor Access: The specific steps are as follows: S101: When a visitor enters the room number at the unit door intercom, the system initiates an intercom call; S102: The central control screen receives a call, and the resident confirms the visitor's identity via video call; S103: After the resident confirms, the system automatically authorizes the elevator to go to the first floor and sends the target floor information to the elevator; S104: After the elevator arrives at the first floor, the access control will open automatically, and the visitor can enter the elevator; S105: The elevator automatically runs to the target floor, and the system records the visitor's trajectory; S2: User elevator reservation: The specific steps are as follows: S201: Users can reserve elevators via the central control screen or mobile app; S202: The system receives a reservation request, analyzes the demand through the data analysis module, and the elevator control module intelligently dispatches the elevator according to the user's reservation time and floor. S203: The elevator arrives at the user's floor before the scheduled time; S204: After the user enters the elevator, the elevator automatically moves to the target floor, and the system updates the reservation record; S3: Intelligent Scheduling: Its specific steps are as follows: S301: The system collects data such as the time and floor used by users in the elevator; S302: The data analysis module analyzes user behavior patterns and predicts elevator usage demand; S303: Based on the prediction results, a scheduling strategy is generated, the elevator control module executes the scheduling, and the elevator is scheduled to go to the high-demand floors in advance; S304: Monitor elevator status in real time and adjust elevator operation strategy according to changes in demand to reduce user waiting time. If no change is required, continue to execute the current strategy.

[0017] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent elevator scheduling and linkage control system based on fusion prediction, characterized in that, It includes a central control screen module, a building intercom module, an elevator control module, an access control module, a data analysis module, a storage module, a communication module, and a security module; The central control screen module is connected to the building intercom module, elevator control module and access control module through a communication module; The building intercom module is used for video calls and identity verification between visitors and residents; The elevator control module is used to control the operation and scheduling of the elevator; The access control module is used to control the opening and closing of access control doors; The data analysis module is used to analyze user behavior data and elevator operation data; The storage module is used to store user information, visitor information, and system configuration.

2. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 1, characterized in that, The data analysis module employs a time series analysis method that combines LSTM (Long Short-Term Memory) network and ARIMA model to achieve elevator demand forecasting.

3. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 1, characterized in that, The elevator control module executes a multi-objective optimization scheduling strategy, which includes maximum passenger capacity, maximum waiting time threshold, reservation time window, and maintenance period avoidance. It also supports a real-time dynamic adjustment algorithm, and implements the real-time dynamic adjustment algorithm when a new reservation request arrives and conflicts with the current plan, the actual deviation of the elevator operation exceeds the threshold, or an emergency occurs.

4. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 1, characterized in that, The central control screen module, data analysis module, security module, elevator control module, and access control module work together to realize dynamic visitor permission management. The dynamic visitor permission management includes a temporary permission generation algorithm based on multi-factor authentication, a fine-grained permission timeliness control mechanism, and visitor trajectory tracking and recording. The operating logic of the temporary permission generation algorithm based on multi-factor authentication is as follows: S501: Residents confirm visitor identity via video call and generate a one-time authorization code, which is a 6-digit number and valid for 5 minutes. S502: The system combines the last four digits of the visitor's mobile phone number, the authorization code, and the current timestamp to generate a permission seed using SHA-256; S503: Encrypt the permission seed generated in S102 using the AES-128-CBC encryption seed to generate the final permission token; S504: The final permission token is pushed to the visitor's mobile phone via SMS or WeChat, and is simultaneously synchronized to the elevator control module.

5. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 4, characterized in that, The fine-grained permission timeliness control mechanism is a three-level timeliness control, specifically: (1) Waiting time limit: After the final permission token is generated, the visitor must arrive at the unit door station for verification within 15 minutes, otherwise it will automatically expire; (2) Elevator access time: After verification, visitors must complete the elevator ride within 10 minutes; otherwise, access will be frozen. (3) Floor validity period: Once the target floor is reached, the token will be automatically cancelled and cannot be used in reverse. The fine-grained permission time-limited control mechanism also has a dynamic renewal mechanism. Residents can extend the time limit for visitors through a mobile APP. Each extension shall not exceed 10 minutes, and the maximum extension shall be 2 times. Two identity verifications are required.

6. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 4, characterized in that, The operational logic for visitor trajectory tracking and recording is as follows: S601: Unit door station verification: Records entry time and verification method, which includes facial recognition, QR code, and intercom authorization; S602: Secondary verification inside the elevator car: Record the elevator ride time, car ID, and floor transition; S603: Target floor access control verification: Record arrival time and departure confirmation; S604: Anomaly Detection: If a visitor stays on a non-target floor for more than the threshold, an alarm will be automatically triggered and the resident will be notified.

7. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 1, characterized in that, The system adopts a real-time communication protocol based on WebSocket, and sets up dual channels: a control channel and a data channel. The control channel adopts the JSON-RPC 2.0 format, and the data channel adopts the binary Protocol Buffers format. The control channel is used for issuing commands, and the data channel is used for reporting status. The real-time communication protocol is configured with heartbeat and reconnection mechanisms, specifically as follows: (1) Heartbeat interval: 30 seconds for control channel and 10 seconds for data channel; (2) Disconnection detection: Three consecutive heartbeat failures are considered a disconnection; (3) Automatic reconnection: Exponential backoff strategy, first 1 second, maximum interval 60 seconds, unlimited retry; (4) Status recovery: The key status during the automatic synchronization of disconnection after reconnection.

8. The elevator intelligent scheduling and linkage control system based on fusion prediction according to claim 1, characterized in that, The system adopts a unified device management interface. When a new device is connected, the device description is automatically broadcast, and the central control screen module automatically identifies and registers it, without the need for manual configuration of IP address or port number. The system employs SHA-256 and AES-128-CBC encryption algorithms to achieve secure encrypted transmission of permissions and data.

Images