Cranes are widely used, but they are prone to causing casualties or production accidents in practical applications. By applying automation technology and IoT cloud platforms, crane industry enterprises can achieve remote control, reduce safety hazards, lower operating costs, and improve production efficiency.

Crane refers to a multi action lifting machinery that vertically lifts and horizontally transports heavy objects within a certain range, also known as overhead crane, aerial crane, or hoist. It is widely used in engineering construction, industrial production, logistics transportation, port terminals, energy development and other fields, and is one of the important pillar industries of the national economy.

With the expansion of production scale and the improvement of automation level, the application of cranes in modern production processes is becoming more and more widespread, and their role is becoming increasingly important. Especially in markets such as ships, coal, waterway transportation, road transportation, railway transportation, and real estate, the demand for cranes continues to grow.

Chinese cranes have extensively used PLC programmable integrated control technology, and control and detection components such as frequency converters, weighing sensors, encoders, etc. with bus interfaces are relatively mature. Control performance can be adjusted through software, greatly simplifying the control system, improving system stability, and possessing the ability to achieve automatic fault diagnosis and remote control.

Requirement Introduction

Stability: For overweight equipment, product stability is particularly important, otherwise it may cause a series of major safety incidents such as personnel injury or production accidents.

Convenience: Customers require hot swappable IO functionality to facilitate device debugging and maintenance, thereby reducing the impact range.

After rigorous testing and project trial operation, the customer has confirmed that the product stability and quality meet the equipment requirements, and highly affirmed the free hot plugging function of MR30 distributed IO. In addition, compared with the original plan, this solution reduces costs by half, has a super high cost-effectiveness, reduces overall costs, and has won the favor of customers.

Mingda Technology Solution

The lifting industry enterprise adopts the MR30 distributed IO, MG protocol converter, Mbox edge computing gateway and Mingda Cloud of Mingda technology to collect field signals and equipment data.

MR30 distributed IO is mainly used for connecting protection signals of devices, such as: lifting upper stop limit, lifting upper deceleration limit, lifting lower stop limit, lifting lower deceleration limit; Overloading during lifting, overspeed during lifting, overheating protection during lifting, and limit of lifting hammer; Front stop limit of the car, front deceleration limit of the car, rear stop limit of the car, rear deceleration limit of the car, and overheating protection of the car; Large vehicle left stop limit, large vehicle left deceleration limit, large vehicle right stop limit, large vehicle right deceleration limit, large vehicle overheating protection, etc.

Analog signals are mainly used to detect indicators such as wind speed, voltage, current, motor temperature, and control the frequency of frequency converters.

The MG protocol converter is mainly used to detect the weight of lifting loads and communicate with instruments through Modbus RTU.

The MG protocol converter does not require complex read-write programs and can be easily configured to achieve read-write functions in a short period of time. The three serial ports can be freely controlled to turn on and off, and the single protocol converter can be adapted to single hook and double hook cranes with the same parameters and programs, reducing repetitive labor and increasing flexibility.

This scheme can also monitor the real-time position of the crane and monitor the load situation of the crane; Record various parameters during the operation process, such as lifting speed, moving speed, rotation angle, etc; Record the frequency and cycle of crane usage; Collect environmental information (such as wind speed, temperature, humidity, etc.); By monitoring the wear and failure symptoms of key components through sensors, predictive maintenance can be achieved; Monitoring the energy usage of cranes can help optimize energy management and reduce operating costs; Allow remote experts to diagnose and troubleshoot cranes, improving response speed and problem-solving efficiency; Analyze the usage mode and performance of the crane to provide a basis for improving operation and maintenance.

Mingda Technology provides industrial data connection full stack products, which will help lifting industry enterprises rise with overall solutions, stable product performance, and ultimate cost-effectiveness.