1、 System Overview
The elevator heavy object recognition and detection system is an intelligent system designed specifically to ensure the safe operation of elevators. With advanced sensor technology and intelligent algorithms, it can accurately recognize and monitor the weight of objects entering the elevator. By analyzing the load situation inside the elevator in real-time, the system can promptly detect overweight or abnormal heavy objects, providing key technical support for the safe and stable operation of the elevator, effectively avoiding elevator failures and safety hazards caused by improper transportation of heavy objects.
2、 Functional Features
Real time weight monitoring: High precision pressure sensors, gravity sensing devices, etc. are installed at key positions at the bottom, top, and surrounding areas of the elevator car to achieve real-time dynamic monitoring of the load weight inside the elevator, ensuring accurate acquisition of weight information of heavy objects inside the elevator at all times.
Accurate recognition and classification: By using deep learning algorithms to analyze the data collected by sensors, not only can it accurately determine whether there is overweight in the elevator, but it can also classify and recognize heavy objects based on their weight, volume, and placement characteristics, such as distinguishing furniture, building materials, daily luggage, etc., for more targeted management.
Data recording and analysis: Automatically record key data such as load weight, overweight frequency, and heavy object type during each elevator operation, and generate intuitive data reports and trend charts. Through data analysis, property management personnel can understand the usage patterns of elevators, the distribution periods of overweight situations, etc., providing decision-making basis for elevator maintenance and operation management.
Overweight warning and prohibition: Once overweight objects are detected in the elevator, the system will immediately sound and light an alarm, and display overweight warning information on the elevator control panel. If the overweight situation is not dealt with in a timely manner, the system will automatically prohibit the operation of the elevator to prevent safety accidents caused by overloading.
3、 Technical principles
Multi sensor data collection: using pressure sensors to sense the pressure changes at the bottom of the elevator car, gravity sensing devices to measure the gravity information of objects, and combined with laser ranging sensors to obtain volume and position data of objects. Multiple sensors work together to comprehensively collect relevant information about heavy objects inside the elevator.
Data fusion and processing: fuse and process the data collected by various sensors, eliminate data errors and interference through data fusion algorithms, and improve the accuracy and reliability of the data. For example, by fusing data from pressure sensors and gravity sensing devices, the weight of heavy objects can be calculated more accurately.
Intelligent recognition and judgment: Based on machine learning and deep learning algorithms such as support vector machine (SVM), convolutional neural network (CNN), etc., the fused data is analyzed and processed. By learning and training a large amount of data on objects of different weights and types, an accurate heavy object recognition model is established to achieve accurate recognition and overweight judgment of heavy objects in elevators.
Communication and Control: The system communicates with the elevator control system and property management center through wired or wireless networks, and transmits real-time data such as detected weight information and overweight alarms to relevant equipment and personnel. At the same time, based on the overweight situation, the system can send control instructions to the elevator control system to achieve functions such as prohibition or alarm prompts for the elevator.
4、 Application scenarios
Commercial office buildings: There is often a need to move heavy objects such as office furniture and equipment in commercial office buildings. This system can effectively prevent elevator failures caused by overweight, ensuring the normal travel of personnel and the safety of goods transportation in office buildings.
Residential community: When residents decorate their houses or move large items, the system can promptly detect overweight situations, avoid damage to elevators, extend the service life of elevators, and ensure the safety of residents riding elevators.
Industrial plants: Elevators in industrial plants are often used to transport heavy objects such as raw materials and finished products. By installing this system, enterprises can better manage the transportation of goods, ensure the safe operation of elevators, and improve production efficiency.
Hotels and shopping malls: The elevators in hotels and shopping malls have a large passenger flow and may transport some large goods, such as furniture replacement in hotels and replenishment of goods in shopping malls. The system can effectively monitor the heavy objects inside the elevator, ensure the safe and stable operation of the elevator, and enhance the customer experience.
5、 System advantages
Ensuring elevator safety: Effectively preventing elevator malfunctions, falls, and other safety accidents caused by overweight, providing solid protection for the life and property safety of personnel inside the elevator.
Extending the lifespan of elevators: By avoiding long-term overloading of elevators, reducing wear and damage to elevator components, extending the service life of elevators, and lowering maintenance and replacement costs.
Improve management efficiency: Implement automated monitoring and management of heavy objects inside elevators, reduce the workload and omissions of manual inspections, and improve the efficiency and intelligence level of property management.
Data driven decision-making: Rich data recording and analysis functions provide data support for elevator maintenance plan formulation, operation management strategy adjustment, etc., which helps to achieve more scientific and reasonable elevator management.