Special safety cab for blasting-free pit digging device
By integrating driver status detection, safety monitoring, and identity recognition modules into the cab of construction machinery, the problem of insufficient cab intelligence has been solved, thereby improving safety and operational efficiency.
Patent Information
- Application Number
- CN202520759906.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-21
- Publication Date
- 2026-02-13
- Estimated Expiration
- 2035-04-21
AI Technical Summary
The existing cabs of construction machinery have limited intelligence in terms of safety monitoring, driver status management, and environmental adaptability, posing safety hazards and risks of unauthorized operation.
It employs a driver status detection module, a cab safety monitoring module, an identity recognition module, an alarm module, a safety detection module, a display module, and a communication device, combined with a data processing module to achieve real-time monitoring and early warning, including functions such as fatigue detection, body temperature monitoring, 360-degree panoramic monitoring, facial recognition, wireless communication, and emergency alarms.
Effectively prevent safety accidents caused by poor driver physical condition, identify and warn of potential threats, ensure equipment safety, keep the cab air fresh, prevent unauthorized operation, and improve operational safety and efficiency.
Smart Images

Figure CN223905149U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to the field of vehicle, concretely is a special safe cab of blasting free pit hole excavating device. BACKGROUND
[0002] In the fields of mine exploitation, tunnel construction, underground engineering, pit hole excavation is a key operation. Traditional methods often rely on blasting technology, but this way has high safety risk, serious environmental pollution, and serious damage to surrounding structures. In recent years, blasting-free pit hole excavating devices have gradually been favored due to their environmental protection, high efficiency, and precise control. However, with the widespread application of such equipment, the safety of the cab as the direct working environment for the operator has become a problem that cannot be ignored.
[0003] Existing engineering machinery cabs focus more on operational convenience and comfort in design, but have limited intelligence in safety monitoring, driver state management, and environmental adaptability. For example, when the driver is fatigued or unwell, there is a lack of effective real-time monitoring and warning mechanisms; changes in the internal environment of the cab (such as carbon dioxide concentration, temperature, etc.), as well as potential external safety threats (such as fire smoke), often cannot be timely perceived and handled; at the same time, access control to the cab is not strict enough, and there is a risk of unauthorized personnel operating. SUMMARY
[0004] The utility model aims at overcoming the insufficient prior art, provides a kind of special safe cab of blasting-free pit hole excavating device, including driver state detection module, data processing module, cab safety monitoring module, identity recognition module, alarm module, safety detection module, display module, cab environment detection device, communication device;
[0005] The cab safety monitoring module, identity recognition module, alarm module, safety detection module, display module, cab environment detection device, communication device and driver state detection module are connected to the data processing module.
[0006] Preferably, the driver state detection module includes a fatigue detection module and an infrared body temperature detection module; the fatigue detection module and the infrared body temperature detection module are connected to the data processing module.
[0007] Preferably, the cab safety monitoring module includes multiple camera modules and an image processing module; the multiple camera modules are connected to the image processing module; the image processing module is connected to the data processing module.
[0008] Preferably, the identity recognition module comprises a face recognition module and an NFC module; the face recognition module and the NFC module are connected with the data processing module.
[0009] Preferably, the alarm module comprises an audible and light alarm; the audible and light alarm is connected with the data processing module.
[0010] Preferably, the safety detection module comprises a smoke alarm; the smoke alarm is connected with the data processing module.
[0011] Preferably, the cab environment detection device comprises a carbon dioxide concentration sensor and an analog-to-digital converter; the carbon dioxide concentration sensor is connected with the analog-to-digital converter, and the analog-to-digital converter is connected with the data processing module.
[0012] Preferably, the communication device comprises a wireless communication module; the wireless communication module is connected with the data processing module.
[0013] Preferably, the data processing module adopts an arm microprocessor.
[0014] The utility model discloses a safe and reliable safety cab for blasting pit excavation device, which comprises a cab body, a driver state detection module, a safety detection module, a safety monitoring module, a communication device, a data processing module and an identity recognition module.
[0015] 360-degree panoramic monitoring and image processing technology can identify and warn potential safety threats in real time, such as personnel intrusion and object movement, reducing the likelihood of accidents.
[0016] Face recognition and NFC dual verification mechanism ensure that only authorized personnel can operate the cab, effectively preventing unauthorized use and improving equipment safety.
[0017] The integration of audible and light alarm and smoke alarm can quickly issue an alarm in an emergency, gaining valuable time for rapid evacuation and rescue.
[0018] By monitoring carbon dioxide concentration in real time, automatically adjusting ventilation, keeping the air in the cab fresh, protecting the health of the driver and improving work efficiency. BRIEF DESCRIPTION OF DRAWINGS
[0019] Figure 1 It is a kind of special safety cab of blasting pit excavation device's principle schematic diagram;
[0020] Figure 2 It is the principle schematic diagram of driver state detection module;
[0021] Figure 3 It is the principle schematic diagram of cab safety monitoring module. DETAILED DESCRIPTION
[0022] The technical solutions of the utility model are described in further detail below in combination with the drawings, but the protection scope of the utility model is not limited to the following.
[0023] The features and performance of the utility model are described in further detail below in combination with the embodiments
[0024] As Figure 1 shown, a special safety cab of a blasting-free pit digging device, comprising a driver state detection module, a data processing module, a cab safety monitoring module, an identity recognition module, an alarm module, a safety detection module, a display module, a cab environment detection device, a communication device;
[0025] The cab safety monitoring module, the identity recognition module, the alarm module, the safety detection module, the display module, the cab environment detection device, the communication device and the driver state detection module are connected with the data processing module.
[0026] As Figure 2 shown, the driver state detection module comprises a fatigue detection module and an infrared body temperature detection module;The fatigue detection module and the infrared body temperature detection module are connected with the data processing module.
[0027] As Figure 3 shown, the cab safety monitoring module comprises a plurality of camera modules and an image processing module;The plurality of camera modules are connected with the image processing module;The image processing module is connected with the data processing module.
[0028] The identity recognition module comprises a face recognition module and an NFC module;The face recognition module and the NFC module are connected with the data processing module.
[0029] The alarm module comprises an audible and visual alarm;The audible and visual alarm is connected with the data processing module.
[0030] The safety detection module comprises a smoke alarm, and the smoke alarm is connected with the data processing module.
[0031] The cab environment detection device comprises a carbon dioxide concentration sensor and an analog-digital converter;The carbon dioxide concentration sensor is connected with the analog-digital converter, and the analog-digital converter is connected with the data processing module.
[0032] The communication device comprises a wireless communication module, and the wireless communication module is connected with the data processing module.
[0033] The data processing module adopts an arm microprocessor.
[0034] Specifically, a special safety cab of a blasting-free pit digging device comprises:
[0035] The driver state detection module comprises a fatigue detection module: a SmartEye Pro fatigue monitoring camera (model: SEP-CAM-01); and an infrared body temperature detection module: an MLX90614 non-contact infrared temperature measurement sensor.
[0036] The cab safety monitoring module comprises a camera module: a 4-way Hikvision DS-2CD2345WD-I; and an image processing module: an Intel Myriad X VPU acceleration module.
[0037] The identity recognition module comprises a face recognition module: a Raspberry Pi HQ camera; and an NFC module: an ST25DV64K dynamic tag chip.
[0038] The alarm module comprises an audible and visual alarm: an LTE-1101J.
[0039] The safety detection module comprises a smoke alarm: a JTY-GD-FSP-851C.
[0040] The cab environment detection device comprises a CO2 sensor: an MH-Z19B NDIR infrared sensor.
[0041] An analog-to-digital converter: an ADC0804.
[0042] The communication device comprises a wireless communication module: an ESP32-WROOM-32 (integrating 2.4 GHz Wi-Fi+Bluetooth dual mode, supporting MQTT protocol)
[0043] The data processing module comprises a core processor: an STM32H743ZI.
[0044] Embodiment 1: Abnormal response process of the driver state detection module
[0045] In an underground tunnel construction environment, the cab temperature is 28℃, and the driver continuously works for 3 hours. The SEP-CAM-01 camera captures the facial video stream at a rate of 30 fps, and the infrared fill light automatically compensates for the dark area illumination. The MLX90614 sensor obtains the body temperature data every 500 ms (the measured value is 36.8℃±0.2℃)
[0046] The STM32H743 processor receives double-channel data:
[0047] Fatigue detection: The PERCLOS algorithm is used to calculate the eyelid closure proportion (current value 12%, threshold value 8%)
[0048] Body temperature monitoring: Establish a sliding window (n=5) to calculate the moving average
[0049] Decision response layer
[0050] When the PERCLOS value exceeds the threshold for 2 minutes:
[0051] Trigger the LTE-1101J audible and visual alarm (buzzer frequency 2.5 kHz, LED strobe period 1 Hz)
[0052] Display the "fatigue driving" warning box (red background, font size 72pt)
[0053] When the body temperature detection value reaches 37.5°C: The air conditioner reduces the set temperature by 2°C
[0054] All event records are uploaded to the cloud server through the ESP32 module in MQTT protocol, generating JSON data packets containing timestamps, sensor IDs, and abnormal parameters.
[0055] Example 2: Intrusion detection process of cab safety monitoring module
[0056] At night, the construction site, the cab exterior lighting is insufficient (illuminance <0.1 lux), 4-way DS-2CD2345WD-I camera starts starlight night vision mode: main driver seat camera: focal length 4mm, field of view 85°; right rear blind area camera: focal length 8mm, field of view 45°; video stream is compressed to 2Mbps code rate through H.265 encoding.
[0057] When unauthorized personnel enter the right rear restricted area: immediately trigger the LTE-1101J audible and visual alarm (night mode automatically enhances LED brightness); ESP32 module sends an emergency signal containing intrusion coordinates to the monitoring center; the cab door electromagnetic lock enters a 30-second pre-lock state; after the monitoring center receives the signal: start remote voice warning (through the cab speaker); call the on-site PTZ camera for review; automatically generate electronic fence alarm records containing time, location, and video screenshots.
Claims
1. A special safety cab for a blasting pit excavating device, characterized in that, The cab safety monitoring module, the identity recognition module, the alarm module, the safety detection module, the display module, the cab environment detection device, the communication device, the driver state detection module are connected with the data processing module. The driver state detection module includes a fatigue detection module and an infrared body temperature detection module.
2. A blast-proof pit excavating apparatus according to claim 1, wherein The cab safety monitoring module includes a plurality of camera modules and an image processing module.
3. A blast-proof pit excavating apparatus according to claim 1, wherein The identity recognition module includes a face recognition module and an NFC module.
4. A blast-proof pit excavating apparatus according to claim 1, wherein The alarm module includes an audible and visual alarm.
5. A blast-proof pit excavating apparatus according to claim 1, wherein The safety detection module includes a smoke alarm.
6. A blast-proof pit excavating apparatus according to claim 1, wherein The cab environment detection device includes a carbon dioxide concentration sensor and an analog-to-digital converter.
7. A blast-proof pit excavating apparatus according to claim 1, wherein The communication device includes a wireless communication module.
8. A blast-proof pit excavating apparatus according to claim 1, wherein The data processing module uses an arm microprocessor.
9. A blast-proof pit excavating apparatus according to claim 1, wherein