Early warning system for bicycle going in and out of elevator based on intelligent sensor

Abstract

The invention relates to the technical field of elevator recognition and early warning, in particular to an intelligent sensor-based early warning system for a bicycle entering and exiting an elevator, which comprises an ICC management platform, a WIFI communication module, a cloud computing terminal, an intelligent sensor module, a data analysis module, an early warning establishment module and a power supply module. The intelligent sensor technology is used for monitoring the elevator entering and exiting state of the electric power-assisted bicycle, data are uploaded to the cloud end through the cloud computing technology, real-time monitoring and data analysis are achieved, the management efficiency and accuracy are improved, the early warning algorithm is used for analyzing the position, appearance and other information of the electric power-assisted bicycle, and the safety of the electric power-assisted bicycle is improved. Real-time monitoring and abnormal early warning of the in-out state of the elevator are achieved, accidents are effectively prevented, remote management of the electric power-assisted bicycle is achieved through the Internet of Things technology, monitoring and management of multiple places are achieved, and the management efficiency and convenience are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator identification and early warning, and in particular to an early warning system for bicycles entering and exiting an elevator based on an intelligent sensor. Background Art

[0002] With the acceleration of urbanization, people's demand and requirements for travel methods are becoming more and more efficient, convenient and environmentally friendly. Electric bicycles have become a popular means of transportation, and their advantages such as environmental protection, economy and flexibility have been widely recognized. The national ownership has exceeded 250 million. However, electric bicycles will bring some problems when entering the elevator, such as friction and collision between electric bicycles and elevator doors, walls, floors, etc., which may affect the safety of elevator equipment and users. In addition, due to irregular parking positions and weak safety awareness, electric bicycle fires are frequent and the fire mortality rate is extremely high. According to statistics from the fire department, illegal parking and charging of electric bicycles are a major cause of fire accidents. However, problems such as battery failure, line aging, overload and short circuit cannot be properly supervised all the time, and it is difficult to achieve timely handling of dangerous situations. At the same time, it is easy to cause disputes when dissuading electric bicycles from entering elevators and homes.

[0003] Current elevators do not have the ability to sense electric bicycles, nor can they sense the entry and exit of electric bicycles, let alone effectively intercept electric bicycles. There are still safety hazards. A bicycle entry and exit elevator warning system based on smart sensors is needed to solve this problem. Summary of the invention

[0004] The purpose of the present invention is to provide an early warning system for bicycles entering and exiting an elevator based on an intelligent sensor to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent sensor-based bicycle in-and-out elevator warning system, comprising an ICC management platform, a WIFI communication module, a cloud computing terminal, an intelligent sensor module, a data analysis module, an early warning module and a power supply module;

[0006] The ICC management platform is connected to the WIFI communication module, the WIFI communication module is connected to the cloud computing terminal, the ICC management platform is connected to the intelligent sensor module, the intelligent sensor module is connected to the data analysis module, the data analysis module is connected to the early warning module, and the early warning module is connected to the ICC management platform, and the ICC management platform is electrically connected to the power supply module.

[0007] As a preferred technical solution of the present invention, the cloud computing terminal is connected to the server terminal, and the server terminal is connected to the data storage backup module, wherein the cloud computing terminal uploads data to the cloud through cloud computing technology to achieve real-time monitoring and data analysis, thereby improving management efficiency and accuracy.

[0008] As a preferred technical solution of the present invention, the intelligent sensor module is divided into an infrared sensor, an ultrasonic sensor, a temperature and humidity sensor, a light sensor and a sound sensor. The intelligent sensor modules are installed on the wall or ceiling of the elevator door and distributed on the inside and outside of the elevator door to monitor the people and objects entering and leaving the elevator, as well as the internal environmental changes and sound conditions, and to determine whether an electric bicycle has entered or left the elevator.

[0009] As a preferred technical solution of the present invention, the ICC management platform is connected to a fixed-focus conch network camera, and the fixed-focus conch network camera is connected to a picture shooting module, wherein elevator fixed-focus conch network cameras are installed on the inner and outer surfaces of the elevator, and the camera can accurately identify electric power-assisted bicycles.

[0010] As a preferred technical solution of the present invention, the data analysis module is connected to the data acquisition and processing module, and collects relevant data of electric bicycles entering and exiting the elevator, such as the number of vehicles, vehicle locations, and the distance between the vehicle and the elevator, through intelligent sensors.

[0011] As the preferred technical solution of the present invention, the data acquisition and processing module is connected to the system integration optimization module, integrating multiple components such as intelligent sensors, data acquisition and processing, and early warning strategies to build a relatively complete monitoring and early warning system. At the same time, the system is optimized to improve the reliability, accuracy and stability of the system.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] (1) The present invention is an early warning system for bicycles entering and exiting elevators based on intelligent sensors. The present invention utilizes intelligent sensor technology to monitor the status of electric-assisted bicycles entering and exiting elevators, and uploads data to the cloud through cloud computing technology to achieve real-time monitoring and data analysis, thereby improving management efficiency and accuracy. An early warning algorithm is used to analyze the position, shape and other information of the electric-assisted bicycles, thereby achieving real-time monitoring of the elevator entry and exit status and abnormal early warning, thereby effectively preventing accidents.

[0014] (2) The present invention is an early warning system for bicycles entering and exiting elevators based on intelligent sensors. The present invention utilizes Internet of Things technology to achieve remote management of electric power-assisted bicycles, realize monitoring and management of multiple locations, and improve management efficiency and convenience. At the same time, it utilizes the ICC intelligent Internet of Things integrated management platform to solve the shortcomings of traditional management methods, demand efficiency from technology, and combine with "intelligent security" to realize intelligent, visual, and traceable fire management. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 is an overall system block diagram of an intelligent sensor-based early warning system for bicycles entering and exiting elevators according to an embodiment of the present invention;

[0017] Figure 2 It is a technical roadmap of a bicycle entering and exiting an elevator warning system based on an intelligent sensor according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] Below, the invention is further described in conjunction with the accompanying drawings and specific embodiments:

[0019] Example 1

[0020] refer to Figure 1 Example 1 is described, including an ICC management platform, a WIFI communication module, a cloud computing terminal, an intelligent sensor module, a data analysis module, an early warning module and a power supply module;

[0021] The ICC management platform is connected to the WIFI communication module, the WIFI communication module is connected to the cloud computing terminal, the ICC management platform is connected to the intelligent sensor module, the intelligent sensor module is connected to the data analysis module, the data analysis module is connected to the early warning module, and the early warning module is connected to the ICC management platform, and the ICC management platform is electrically connected to the power supply module;

[0022] In this embodiment, the present invention can determine whether an electric power-assisted bicycle is already in the elevator through artificial intelligence technology. Once it is detected that it has entered the elevator, the early warning system will immediately trigger the alarm device to remind people in the elevator to pay attention to the location of the electric power-assisted bicycle, and the artificial intelligence will send an alarm message to the management personnel. The early warning system will be automatically released the moment the electric power-assisted bicycle exits the elevator; the management personnel can view the video playback of the elevator entrance and exit at any time through the ICC intelligent Internet of Things comprehensive management platform to understand the actual situation of the electric power-assisted bicycle entering the elevator. If it is found that someone has entered the elevator with an electric power-assisted bicycle multiple times, the management personnel will inform them by phone.

[0023] Example 2

[0024] refer to Figure 1 to Figure 2Example 2 is described. This embodiment further describes Example 1 and includes a cloud computing terminal, which is connected to the server terminal, which is connected to the data storage and backup module, wherein the cloud computing terminal uploads data to the cloud through cloud computing technology to achieve real-time monitoring and data analysis, thereby improving management efficiency and accuracy; the intelligent sensor module is divided into an infrared sensor, an ultrasonic sensor, a temperature and humidity sensor, a light sensor, and a sound sensor. The intelligent sensor modules are installed on the wall or ceiling of the elevator door and distributed on both sides of the elevator door to monitor the people and objects entering and leaving the elevator, as well as the internal environmental changes and sound conditions, and to determine whether the electric bicycle has entered or left the elevator. A gateway device is installed in the elevator control room to receive the data collected by the sensor and process and analyze it, while realizing remote control and management of the sensor nodes and determining whether the electric bicycle has entered or left the elevator. The ICC management platform is connected to a fixed-focus conch network camera, and the fixed-focus conch network camera is connected to a picture shooting module, wherein Elevator fixed-focus conch network cameras are installed on the inner and outer surfaces of the elevator, and their cameras can accurately identify electric power-assisted bicycles; the cameras and sensors inside and outside the elevator are connected to the Internet, so that the monitoring images can be transmitted to the server port in real time for processing and storage, and the data collected by the cameras and sensors are analyzed. The data analysis module is connected to the data acquisition and processing module, and the relevant data of electric bicycles entering and exiting the elevator, such as the number of vehicles, the location of vehicles, the distance between the vehicle and the elevator, etc., are collected through intelligent sensors. The data is uploaded to the cloud platform or the local server for certain processing and storage, and the data is visualized at the same time. The data acquisition and processing module is connected to the system integration and optimization module, and multiple components such as intelligent sensors, data acquisition and processing, and early warning strategies are integrated to build a relatively complete monitoring and early warning system. At the same time, the system is optimized to improve the reliability, accuracy and stability of the system. The system ultimately realizes real-time monitoring and early warning of electric bicycles entering and exiting the elevator through intelligent sensors and data analysis technology, thereby improving the safety and convenience of elevator use.

[0025] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A bicycle entering and exiting elevator warning system based on intelligent sensors, characterized in that: It includes ICC management platform, WIFI communication module, cloud computing terminal, intelligent sensor module, data analysis module, early warning module and power supply module; The ICC management platform is connected to the WIFI communication module, the WIFI communication module is connected to the cloud computing terminal, the ICC management platform is connected to the intelligent sensor module, the intelligent sensor module is connected to the data analysis module, the data analysis module is connected to the early warning module, and the early warning module is connected to the ICC management platform, and the ICC management platform is electrically connected to the power supply module.

2. According to claim 1, a bicycle entering and exiting elevator warning system based on intelligent sensors is characterized in that: The cloud computing terminal is connected to the server terminal, and the server terminal is connected to the data storage backup module, wherein the cloud computing terminal uploads data to the cloud through cloud computing technology to achieve real-time monitoring and data analysis, thereby improving management efficiency and accuracy.

3. The intelligent sensor-based early warning system for bicycles entering and exiting elevators according to claim 1 is characterized in that: The intelligent sensor modules are divided into infrared sensors, ultrasonic sensors, temperature and humidity sensors, light sensors and sound sensors. The intelligent sensor modules are installed on the wall or ceiling of the elevator door and distributed on both sides of the elevator door to monitor people and objects entering and leaving the elevator, as well as internal environmental changes and sound conditions, and determine whether an electric bicycle has entered or left the elevator.

4. The intelligent sensor-based early warning system for bicycles entering and exiting elevators according to claim 1 is characterized in that: The ICC management platform is connected to a fixed-focus conch network camera, which is connected to a picture shooting module. Elevator fixed-focus conch network cameras are installed on the inner and outer surfaces of the elevator, and the camera can accurately identify electric power-assisted bicycles.

5. The intelligent sensor-based early warning system for bicycles entering and exiting elevators according to claim 1 is characterized in that: The data analysis module is connected to the data acquisition and processing module, and collects relevant data of electric bicycles entering and exiting the elevator, such as the number of vehicles, the location of the vehicles, the distance between the vehicles and the elevator, etc., through intelligent sensors.

6. The intelligent sensor-based early warning system for bicycles entering and exiting elevators according to claim 1 is characterized in that: The data acquisition and processing module is connected to the system integration and optimization module, integrating multiple components such as intelligent sensors, data acquisition and processing, and early warning strategies to build a relatively complete monitoring and early warning system. At the same time, the system is optimized to improve the reliability, accuracy and stability of the system.

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