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SEEZOL customizable crane  load moment indicator（LMI）focuses on the differentiated needs of customers and working conditions, and can be deeply customized from four dimensions: hardware, software, function, and interaction. The following is a detailed description:

I. Hardware adaptation customization

1. Sensor selection and installation

Select sensors according to the operating scenario: strain gauge load cells for high-precision lifting; high-temperature resistant and waterproof pressure sensors for harsh environment operations. Flexible installation, tower cranes use axle pin sensors at the root of the boom to measure tension, and gantry cranes are equipped with sensors at the end of the wire rope or the outrigger to monitor weight.

2. Control and display adaptation

The control unit can adjust the size, interface and protection level as needed. Small cranes use integrated units, and the protection of harsh environment equipment reaches IP67. The display terminal provides a variety of options such as color touch screens and high-brightness LED screens, and supports customization of night vision functions.

II. Software system customization

1. Algorithms and alarm logic

Customize algorithms according to crane characteristics, optimize the torque calculation of jib cranes, and develop special amplitude compensation algorithms. Users can customize three-level alarm thresholds (85% warning, 95% second-level warning, 105% overload alarm) and corresponding actions, such as sound and light alarm, speed limit or forced shutdown. ​

2. Communication protocol customization​

Supports multiple protocols such as Modbus and Profibus, which is convenient for integration with crane control systems and monitoring platforms. For example, smart ports transmit data through 5G, and industrial production lines and PLCs work in depth. ​

III. Function expansion customization​

1. Industry-specific modules​

Customize wind speed compensation function for wind power installation, increase radiation protection for nuclear power construction, and develop fast parameter switching function for rental cranes. ​

2. Standard specification adaptation​

Meet domestic standards such as GB/T 28264-2020, adapt to international standards such as EU CE and US OSHA, and support internal safety process customization of enterprises. ​

IV. Human-computer interaction customization​

1. Interface and operation optimization​

Provide a multi-language interface, simplify parameter settings, support shortcut key customization and graphical operations, and lower the threshold for use.​

2. Data report customization​

Record basic operation data and equipment status information as needed, generate daily and weekly reports in various formats, support Excel and PDF export, and help safety management and data analysis. ​

Through all-round customization, the customizable crane  load moment indicator has become a safety solution that meets customer needs, taking into account both operation safety and management efficiency.

In the field of construction machinery, where equipment safety is closely linked to operational efficiency, the Load Moment Indicator (LMI), Load Limiter, and Anti-Offcenter Loading System are collectively referred to as Safety Load Indicator（SLI）. As core technologies ensuring stable equipment operation, they play an irreplaceable role in the industry.

1. Load Moment Indicator (LMI)

The LMI relies on high-precision sensors to capture real-time changes in equipment stress. Through complex algorithms, it converts stress states into accurate moment values, which are intuitively displayed on a visual operation interface. This enables operators to promptly understand the equipment’s load status and adjust operation strategies accordingly, preventing equipment damage caused by excessive moment. Application Scenarios: Cranes, excavators, and other heavy machinery requiring real-time moment monitoring.

2. Load Limiter

As a “guardian” of equipment safety, the Load Limiter instantly triggers audible and visual alarms when the detected load exceeds a preset threshold. Depending on the risk level, it can automatically cut off the power supply to effectively avoid structural damage from overloading and eliminate safety hazards at their source. Application Scenarios: Loaders, forklifts, and other material-handling equipment prone to overloading.

3. Anti-Offcenter Loading System

This system uses sensors distributed at key equipment positions to monitor load distribution in real time. Upon detecting off-center loading, it immediately issues an alarm and provides deviation-correction guidance through intelligent algorithms, ensuring stable equipment operation and significantly extending service life. Application Scenarios: Reach stackers, port cranes, and other equipment requiring balanced load management.

Integrated Applications and Synergy

These systems demonstrate remarkable effectiveness in real-world scenarios and can be mutually combined for enhanced safety:

In construction projects, tower cranes equipped with both LMI and Load Limiter can precisely prevent tipping risks during hoisting operations.

In port logistics, the Anti-Offcenter Loading System ensures uniform load distribution on container cranes, improving handling efficiency and safety. When integrated with dynamic weighing systems, they form a multi-dimensional safety network, providing comprehensive protection for engineering operations.

The SeeZol wheel loader intelligent weighing system has achieved a breakthrough upgrade in the field of measurement through the integration of 5G+AI technology. The core of the system adopts a multi-source heterogeneous data processing architecture. On the basis of the original dual sensors (oil pressure/position), it integrates a 5G communication module (supports NSA/SA dual-mode, uplink rate ≥200Mbps), which can transmit operation data to the cloud management platform in real time. The AI algorithm layer deploys convolutional neural networks (CNN) and long short-term memory networks (LSTM). The dynamic compensation model established through 20,000 sets of working condition data training improves the weighing accuracy to ±0.7%, which is 40% lower than the traditional system error.

The system innovatively develops a three-dimensional perception compensation algorithm: using 5G edge computing nodes to analyze the bucket motion trajectory in real time (sampling frequency 500Hz), combined with the hydraulic oil temperature-viscosity relationship AI prediction model, automatically compensates for the measurement deviation caused by thermal deformation. The 5G module supports remote OTA upgrades, and the newly trained weight recognition model can be sent down through the cloud (model update delay <200ms). The industrial-grade AI coprocessor (computing power 4TOPS) realizes self-optimization of the loading process. According to measured data, the lifting speed can be dynamically adjusted to reduce energy consumption by 12%, while ensuring a stable measurement accuracy of ±1.5%.

Yichang SeeZol Technology Co., Ltd.is atechnology enterprise specializing in theproduction of safety protection devicesfor construction machinery. We have aprofessional R&D and manufacturingteam and can provide customizedproduct services according to the actualsituation of our customers, truly achievingan organic combination of controllableafety and optimal efficiency.