Electric forklift potential safety hazard automatic identification system based on AI

Abstract

The invention discloses an AI-based electric forklift potential safety hazard automatic identification system, which comprises a vehicle-mounted terminal and an interactive display screen, the vehicle-mounted terminal is a terminal device with a networking function, the vehicle-mounted terminal is installed in a vehicle, a processor and an alarm module are arranged in the vehicle-mounted terminal, the processor is an AI intelligent processing module, and the interactive display screen is connected with the processor. The state of a driver and the state of a vehicle body can be monitored in real time through the AI intelligent processing module so that response can be made in time, the vehicle-mounted terminal sends signals influencing driving safety to the alarm module through the AI intelligent processing module, the alarm module stimulates the driver to be awake through sound and light rays, and the driver is prevented from being damaged. And the external environment detection module is used for obtaining whether the advancing road condition of the forklift is abnormal or not, the vehicle-mounted terminal gives out an alarm in time through the alarm module, all-directional detection is achieved, detection is accurate and reliable, and the traffic accidents are effectively avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of forklift safety, in particular to an AI-based automatic identification system for safety hazards of electric forklifts. BACKGROUND

[0002] Forklifts play an important role in the logistics and industrial fields, as they can quickly and efficiently transport goods and improve production efficiency. Traditional forklift warning systems mainly use simple lamps for area prompts or use horns, buzzers, and other sounds for alarms.

[0003] The traditional warning system cannot monitor the objects around the forklift in real time, and the detection range is not comprehensive, lacking accuracy and timeliness.

[0004] Therefore, it is necessary to provide an AI-based automatic identification system for safety hazards of electric forklifts to solve the above technical problems. SUMMARY

[0005] The present application aims to provide an AI-based automatic identification system for safety hazards of electric forklifts to solve the problems raised in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: an AI-based automatic identification system for safety hazards of electric forklifts, comprising a vehicle terminal and an interactive display screen, the vehicle terminal being a terminal device with networking function, the vehicle terminal being installed in the vehicle, the interactive display screen being used to display abnormal signals detected by the detection device, the vehicle terminal being built-in with a processor and an alarm module, the processor being an AI intelligent processing module, the AI intelligent processing module being provided with a detection device, the detection device comprising a driver state detection module, a vehicle body state detection module, and an external environment monitoring module, the external environment monitoring module comprising an infrared sensor and an ultrasonic sensor.

[0007] As a preferred technical solution of the present application, the AI intelligent processing module is pre-built-in with multiple simulation scenarios, and after receiving data information, the AI intelligent processing module processes it and judges the monitored information, the AI intelligent processing module monitoring the driver state, the vehicle body state, and the external environment of the vehicle body in real time.

[0008] As a preferred technical solution of the present application, the processor further comprises a photographing module, the photographing module comprising an internal camera and an external camera, the internal camera taking real-time photos of the driver and transmitting them to the driver state detection module, the driver state detection module analyzing the real-time state of the driver and transmitting the analyzed data to the vehicle terminal.

[0009] As a preferred technical scheme of the present application, the detection device is used to detect the state of the electric forklift itself and the behavior of the driver, and transmit a signal to the alarm module for alarm when a dangerous situation occurs, including a person or an obstacle within the safety range of the electric forklift, and abnormal behavior of the driver.

[0010] As a preferred technical scheme of the present application, the state detection module of the driver includes identification of whether the safety belt is worn, identification of whether both hands are holding the steering wheel, and the like, and also includes identification of whether the driver is playing a mobile phone, making or receiving a call, and smoking, which affect the driving safety, the vehicle-mounted terminal transmits a signal affecting the driving safety to the alarm module through the AI intelligent processing module, and the alarm module includes sound alarm and light alarm.

[0011] As a preferred technical scheme of the present application, the external camera is arranged outside the vehicle, can take pictures of the scene outside the vehicle body in real time to obtain the road condition, and output data to the external environment detection module, the external environment detection module obtains whether an abnormality occurs on the moving path of the electric forklift, the external environment detection module transmits an abnormal signal to the AI intelligent processing module, and the AI intelligent processing module transmits the abnormal signal to the vehicle-mounted terminal for analysis and processing.

[0012] As a preferred technical scheme of the present application, the infrared sensor accurately identifies the human body, and the infrared sensor is used to transmit an alarm signal when a pedestrian is detected within the operation safety range of the electric forklift, and the alarm module issues a warning.

[0013] As a preferred technical scheme of the present application, the ultrasonic sensor accurately identifies the obstacle, and the ultrasonic sensor is used to identify the obstacle within the operation safety range of the electric forklift and transmit an alarm signal, and the alarm module issues a warning.

[0014] Compared with the prior art, the present application has the following advantages:

[0015] The AI-based electric forklift safety hazard automatic identification system disclosed by the application has the advantages that: the AI intelligent processing module is internally provided with multiple simulation scenes in advance, the AI intelligent processing module processes the received data information, thereby judging the monitored information, the AI intelligent processing module can monitor the driver state and the vehicle body state in real time, so as to respond in time, the internal camera can transmit the real-time photos of the driver to the driver state detection module, the driver state detection module can analyze the real-time state of the driver, and the analyzed data can be transmitted to the vehicle terminal, when the driver state is detected to be incorrect, the vehicle terminal can send the signal affecting the driving safety to the alarm module through the AI intelligent processing module, the alarm module can stimulate the driver to be awake through sound and light, thereby preventing accidents, the external camera can take photos of the scene outside the forklift to obtain the road condition, the external environment detection module can detect whether the road condition of the forklift is abnormal, and the abnormal signal can be transmitted to the AI intelligent processing module, the AI intelligent processing module can transmit the abnormal road condition to the vehicle terminal, the vehicle terminal can convert the abnormal signal into an image or a command and display the image or the command on the interactive display screen, meanwhile, the vehicle terminal can send an alarm through the alarm module to remind the driver to check the abnormal condition displayed on the interactive display screen in time, and the driver can take corresponding operation in time to avoid accidents, the detection is all-round, accurate and reliable, and accidents can be effectively avoided. BRIEF DESCRIPTION OF DRAWINGS

[0016] The application will be further described below in combination with the drawings and embodiments.

[0017] Figure 1 FIG. 1 is a schematic diagram of an AI-based electric forklift safety hazard automatic identification system;

[0018] Figure 2 FIG. 4 is a schematic diagram of the detection device components of the application. DETAILED DESCRIPTION

[0019] The embodiments of the application will be described below with reference to the drawings. In this process, in order to ensure the clarity and convenience of the description, we may exaggerate the width of the lines or the size of the constituent elements in the drawings.

[0020] In addition, the terms in the following are defined based on the functions in the application, and can be different according to the intention or habit of the user or the user. Therefore, these terms are defined based on the entire content of the specification.

[0021] As Figure 1 and Figure 2As shown, an AI-based electric forklift safety hazard automatic identification system, comprising a vehicle terminal and an interactive display screen, the vehicle terminal is a terminal device with networking function, the vehicle terminal is installed in the vehicle, the vehicle terminal is built-in processor and alarm module, the processor is an AI intelligent processing module, the AI intelligent processing module is provided with a detection device, the detection device includes a driver state detection module, a vehicle body state detection module and an external environment monitoring module.

[0022] The detection device is used to detect the state of the electric forklift and the behavior of the driver, and to transmit signals to the alarm module for alarm when danger occurs, including people or obstacles within the safety range of the electric forklift, abnormal driver behavior, etc.

[0023] The AI intelligent processing module is built-in in advance with multiple simulation scenarios, and the AI intelligent processing module processes the received data information, so as to judge the monitored information, the AI intelligent processing module is a prior art, which has strong learning ability, the AI intelligent processing module can monitor the driver state, vehicle body state and external environment of the vehicle body in real time, so as to respond in time.

[0024] The processor also includes a photographing module, which includes an internal camera and an external camera, which transmits the real-time photographing of the driver to the driver state detection module through the internal camera, analyzes the real-time state of the driver through the driver state detection module, and transmits the analyzed data to the vehicle terminal, the driver state detection module includes whether the safety belt is worn, whether the hands are held on the steering wheel, fatigue driving recognition, etc., and also includes whether the driver plays mobile phone, makes or receives phone call and smokes, etc. The behaviors affecting driving safety, when the above situations are detected, the vehicle terminal will send the signal affecting driving safety to the alarm module through the AI intelligent processing module, the alarm module includes sound alarm and light alarm, which stimulates the driver to be awake through sound and light, preventing accidents.

[0025] The external camera is arranged outside the vehicle, which can take pictures of the scene outside the vehicle body to obtain the road condition, and output the data to the external environment detection module, and obtain whether the abnormality occurs on the action path of the electric forklift through the external environment detection module, the external environment detection module transmits the abnormal signal to the AI intelligent processing module, and the AI intelligent processing module transmits the abnormal signal to the vehicle terminal for analysis and processing.

[0026] The external environment detection module includes an infrared sensor and an ultrasonic sensor. The infrared sensor can accurately identify the human body and is adaptable to various light sources, including nighttime and backlight conditions, ensuring personnel safety and preventing accidents. When the infrared sensor detects a pedestrian within the safe operating range of the electric forklift, it sends an alarm signal, which is then transmitted through the alarm module. The ultrasonic sensor can accurately identify obstacles within the safe operating range of the electric forklift. When an obstacle appears within the safe range, it sends an alarm signal, which is then transmitted through the alarm module to warn the driver to avoid the obstacle.

[0027] The specific implementation involves pre-installing multiple simulated scenarios within the AI ​​intelligent processing module. After receiving and processing the data, the AI ​​intelligent processing module makes judgments based on the monitored information. It can monitor the driver's and vehicle's states in real time for timely responses. An internal camera takes real-time photos of the driver, which are then transmitted to the driver state detection module. This module analyzes the driver's real-time state and transmits the analyzed data to the in-vehicle terminal. If an abnormal driver state is detected, the in-vehicle terminal sends a signal affecting driving safety to the alarm module via the AI ​​intelligent processing module. The alarm module responds with sound. The system uses light stimulation to keep the driver alert and prevent accidents. An external camera takes real-time photos of the environment outside the forklift to capture road conditions. An external environment detection module detects any abnormalities in the road conditions and transmits these signals to an AI intelligent processing module. The AI ​​module then transmits the abnormalities to the onboard terminal, which converts the signals into images or commands and displays them on the interactive screen. Simultaneously, the onboard terminal issues timely alarms via an alarm module, prompting the driver to check the display screen for any abnormalities and take appropriate action to prevent accidents. This comprehensive, accurate, and reliable detection system effectively prevents accidents.

[0028] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An AI-based automatic safety hazard identification system for electric forklifts, characterized in that: The device includes an in-vehicle terminal and an interactive display screen. The in-vehicle terminal is a terminal device with network connectivity and is installed inside the vehicle. The interactive display screen is used to display abnormal signals detected by the detection device. The in-vehicle terminal has a built-in processor and an alarm module. The processor is an AI intelligent processing module, and the AI ​​intelligent processing module has a detection device. The detection device includes a driver status detection module, a vehicle status detection module, and an external environment monitoring module. The external environment detection module includes an infrared sensor and an ultrasonic sensor.

2. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The AI ​​intelligent processing module has multiple pre-built simulation scenarios. After receiving the data, the AI ​​intelligent processing module processes it and judges the monitored information. The AI ​​intelligent processing module monitors the driver's status, vehicle status, and external environment in real time.

3. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The processor also includes a camera module, which includes an internal camera and an external camera. The internal camera takes real-time photos of the driver and transmits them to the driver status detection module. The driver status detection module analyzes the driver's real-time status and transmits the analyzed data to the vehicle terminal.

4. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The detection device is used to detect the electric forklift's own status and the driver's behavior, and transmits a signal to the alarm module to trigger an alarm when a dangerous situation occurs. Dangerous situations include people or obstacles within the electric forklift's safe range, and abnormal driver behavior.

5. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The driver state detection module identifies the driver's state, including whether the seat belt is being worn, whether both hands are gripping the steering wheel, and whether the driver is using a mobile phone, making or receiving calls, or smoking, which may affect driving safety. The vehicle terminal sends signals that affect driving safety to the alarm module through the AI ​​intelligent processing module. The alarm module includes sound alarms and light alarms.

6. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The external camera is installed outside the vehicle and can take pictures of the scene outside the vehicle in real time to obtain the road conditions. The data is then output to the external environment detection module, which detects whether any abnormalities have occurred on the electric forklift's path. The external environment detection module transmits the abnormal signal to the AI ​​intelligent processing module, which then transmits the abnormal signal to the on-board terminal for analysis and processing.

7. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The infrared sensor accurately identifies the human body. When the infrared sensor detects a pedestrian within the safe operating range of the electric forklift, it sends an alarm signal and issues a warning through the alarm module.

8. The AI-based automatic safety hazard identification system for electric forklifts according to claim 1, characterized in that: The ultrasonic sensor accurately identifies obstacles and is used to identify obstacles and send alarm signals within the safe operating range of the electric forklift, issuing warnings through the alarm module.

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