1. Introduction
1. Document Version: V1.0
2. White Paper Compilation Unit: Shandong Hengmei Electronic Technology Co., Ltd.
3. Compilation Date: November 21, 2025
4. Core Positioning: This white paper aims to present the complete product information of the HM-NL model tree-ring image analysis system under Hengmei Intelligent Manufacturing in a structured. It covers key contents such as product basic information, core technologies and functional features, detailed technical parameters, and application scenarios. It provides accurate data support for product promotion, user selection, technical research and development in the fields of forestry research and ecological studies.
2. Table of Contents
1. Introduction
2. Table of Contents
3. Product Basic Information
4. Core Technologies and Functional Features
5. Detailed Technical Parameters
6. Application Scenarios and Industry Adaptation
7. Accessories and Consumables Configuration
8. Model Comparison and Selection Suggestions
3. Product Basic Information
1. Product Name: Hengmei Intelligent Manufacturing Tree-Ring Image Analysis System
2. Model and Market Positioning: The model is HM-NL. It is a professional tree-ring research tool designed for analyzing tree rings of disc-shaped wood cross-sections or cylindrical increment borer samples. The system integrates functions of image acquisition, analysis and processing, and data statistics, and is positioned as a core equipment for forestry research, ecological research, and wood science research, providing accurate data support for related fields.
3. Product Appearance and Structure: The system consists of two main parts: hardware (image capture system) and software (analysis processing system). The hardware part includes a standard tree-ring sample scanning device (with A3 format scanning capability) and an increment borer locator (for placing cylindrical samples). The scanning device has a compact structure with a scanning area of 31×44cm, and is equipped with operation buttons and indicator lights for easy control. The software part runs on Windows 10 and above systems, with a user-friendly interface that includes modules for image import, analysis settings, data statistics, and report generation. The overall system is easy to assemble and operate, suitable for both laboratory and field research scenarios (with portable hardware support for field use).
4. Core Technologies and Functional Features
1. Multi-Sample Image Acquisition Technology: For large wood samples, the system supports multiple imaging at different positions to ensure complete capture of tree-ring information. For cylindrical increment borer samples, a special increment borer locator is used to fix the samples, ensuring stable and accurate imaging. This technology solves the problem of incomplete imaging of large samples and unstable placement of small cylindrical samples.
2. Adaptive Tree-Ring Measurement Technology: The system allows manual setting of automatic tree-ring measurement methods to adapt to different tree species (such as coniferous and broad-leaved trees with different ring characteristics). It also has manually assisted image recognition correction and missing pixel addition functions. When the automatic recognition has errors (such as missing rings or false recognition), users can manually adjust to improve the accuracy of ring analysis, which is suitable for complex tree-ring structures.
3. Comprehensive Growth Analysis Technology: The system can perform standard plant growth analysis, including calculating the average radius, circumference, and total cross-sectional area of the trunk. It can also measure key parameters such as tree cross-sectional area, cross-sectional circumference, and tree age. By integrating these measurement functions, it provides comprehensive data support for studying tree growth status and growth dynamics.
4. High-Precision Image Processing Technology: It is equipped with professional image editing tools for image enhancement (such as adjusting brightness, contrast, and sharpness) to optimize the clarity of tree rings. It supports color channel analysis, allowing users to select different color channels (such as red, green, blue) for targeted analysis to highlight ring boundaries. It also supports batch processing of multiple samples, greatly improving the efficiency of analysis.
5. Flexible Data Processing and Output Technology: The system supports custom measurement paths, allowing users to measure tree rings along straight lines at any angle, and can extend the path by adding new measurement paths based on existing starting points. It can accurately distinguish and measure the width of earlywood and latewood, and supports ring measurement of multi-segment complex-shaped samples. The measurement path can be dynamically adjusted to follow the direction of tree rings, ensuring accurate measurement of irregular rings.
6. Diversified Data Visualization and Export Technology: It can automatically generate various types of data charts (such as ring width trend charts, cross-sectional area statistical charts) for intuitive display of analysis results. It supports one-click generation of professional tree-ring analysis reports, and can output processed high-quality images and analysis results. The analysis results can be exported in multiple formats such as Excel, JSON, and CSV, facilitating data sharing and further processing. It also supports one-click switching between Chinese and English interfaces to meet the needs of international users.
5. Detailed Technical Parameters
1. Software Compatibility: Only compatible with Windows 10 and Windows 10 or above operating systems
2. Image Capture System Parameters
◦ Format: A3
◦ Scanning Area: 31×44cm
◦ Maximum Resolution: Standard configuration 1600×1600dpi, optional configuration 1800dpi×3600dpi
◦ Minimum Recognition Accuracy: Standard configuration 0.016mm, optional configuration 0.011mm
1. Image Processing Parameters
◦ Batch Processing: Support efficient batch analysis of multiple samples
◦ Image Enhancement: Equipped with professional image editing tools (brightness, contrast, sharpness adjustment)
◦ Color Channel Analysis: Support selection of red, green, blue and other color channels for analysis
◦ Supported Image Formats: Compatible with TIFF, BMP, PNG, JPEG and other formats
◦ High-Precision Image Processing: Support analysis of ultra-high-precision scanned images up to 1GB
1. Tree-Ring Measurement and Analysis Parameters
◦ Measurement Path: Support custom straight-line paths at any angle, and path extension based on existing starting points
◦ Earlywood and Latewood Analysis: Support accurate distinction and width measurement of earlywood and latewood
◦ Complex Sample Processing: Support ring measurement of multi-segment complex-shaped samples
◦ Path Adjustment: Support dynamic adjustment of measurement paths to follow the direction of tree rings
◦ Fine Ring Analysis: Support accurate recognition of extremely fine rings below 0.2mm
◦ Automatic Recognition: Support automatic tree-ring detection and marking functions
1. Data Processing and Output Parameters
◦ Morphological Measurement: Automatically calculate tree cross-sectional circumference and area
◦ Total Disc Area Calculation: Support accurate measurement of the area of complete tree discs
◦ Parameter Customization: Support flexible setting of analysis parameters (such as measurement accuracy, ring recognition threshold)
◦ Data Visualization: Automatically generate ring width trend charts, cross-sectional area statistical charts and other charts
◦ Report Generation: Support one-click generation of professional tree-ring analysis reports
◦ Output Formats: Analysis results can be exported to Excel, JSON, CSV and other formats; support printing of processed images and analysis results
◦ Language Support: Support one-click switching between Chinese and English
1. Auxiliary Function Parameters
◦ Calibration: Support automatic calibration function with separate correction in X and Y directions
◦ Precise Measurement: Support precise distance measurement by mouse dragging
◦ Image Zoom: Support multi-level zoom and local area observation functions
6. Application Scenarios and Industry Adaptation
1. Climate Change Research Field: Researchers can use the system to analyze the width of tree rings. Since the growth of tree rings is closely related to climate factors (such as temperature, precipitation), the historical climate change situation can be inferred by studying the changes in tree ring width over the years. For example, in the study of global warming, the system can provide accurate ring width data to help establish the correlation between climate and tree growth.
2. Forest Ecological Monitoring Field: In forest ecological monitoring, the system can be used to evaluate the health status and growth dynamics of forests. By measuring parameters such as tree age, cross-sectional area, and ring width of sample trees in the forest, it can analyze the growth rate of trees, judge whether the forest is affected by pests, diseases, or human interference, and provide a basis for formulating forest protection and management strategies.
3. Paleoecological Reconstruction Field: Combining chronological methods, the system can help reconstruct the historical ecological environment. By analyzing the tree rings of ancient trees or fossil wood, the age of the samples can be determined, and the ecological factors such as vegetation types, climate conditions, and soil fertility in the corresponding historical period can be inferred, providing important data for the study of ecological environment evolution.
4. Forestry Production and Management Field: In forestry production, the system can optimize the prediction of tree growth and the evaluation of forest resources. By analyzing the growth law of tree rings, it can predict the future growth trend of trees, reasonably plan the felling cycle of forests, and evaluate the quantity and quality of forest resources, which is of great significance for the sustainable use of forest resources.
5. Wood Science Research Field: The system can be used to analyze the structure and material properties of wood. By observing and measuring the width of tree rings, the proportion of earlywood and latewood, and other parameters, it can study the relationship between wood structure and wood density, strength, and other material properties, providing a basis for the development and utilization of wood materials (such as the selection of wood for construction, furniture, etc.).
7. Accessories and Consumables Configuration
1. Basic Hardware Accessories
◦ 1 set of HM-NL tree-ring image analysis system main unit (including image scanning device and increment borer locator)
◦ 1 power adapter (matching the power requirement of the scanning device, ensuring stable power supply)
◦ 1 USB data cable (used to connect the scanning device to the computer for data transmission and control)
◦ 1 set of sample fixing brackets (used to fix large disc-shaped wood samples during scanning to prevent sample movement)
◦ 1 set of cleaning tools (including lens cleaning cloth, brush, etc., used to clean the scanning lens and sample surface to avoid affecting image quality)
1. Software Accessories
◦ 1 set of HM-NL dedicated tree-ring analysis software (with installation CD or USB flash drive, including software installation program, user manual, and video tutorial)
◦ 1 software activation code (used to activate the software to ensure normal use of all functions)
1. Consumables
◦ 1 pack of lens cleaning paper (used to clean the scanning lens, with high cleanliness to avoid scratching the lens)
◦ 1 bottle of lens cleaning solution (special for cleaning the scanning lens, non-corrosive, ensuring the lens is clean and transparent)
◦ 1 roll of sample marking stickers (used to mark sample information such as sample number and collection location to avoid confusion during batch analysis)
8. Model Comparison and Selection Suggestions
1. Model Comparison: Currently, Hengmei Intelligent Manufacturing mainly provides the HM-NL model for the tree-ring image analysis system product line, and there are no other models in the same series for the time being. Therefore, there is no comparison of functions, parameters, and prices between different models. The HM-NL model has comprehensive functions, covering image acquisition, ring analysis, growth parameter measurement, and data output, and has the advantages of high measurement accuracy (minimum recognition accuracy up to 0.011mm), strong adaptability (suitable for different types of samples and tree species), and efficient batch processing. It can meet the research needs of most users in the fields of forestry, ecology, and wood science.
2. Selection Suggestions: If the user needs to analyze tree rings of disc-shaped wood cross-sections or cylindrical increment borer samples, and has requirements for measurement accuracy (needing to recognize fine rings below 0.2mm), analysis efficiency (needing batch processing of multiple samples), and data output (needing multiple formats and professional reports), the HM-NL tree-ring image analysis system is the preferred product. It is suitable for scientific research institutions (such as forestry research institutes, ecological research centers), universities (departments of forestry, ecology, geography), forestry management departments, and wood research enterprises. Whether it is for climate change research, forest ecological monitoring, paleoecological reconstruction, or wood science research, the HM-NL model can provide stable and reliable technical support. For users with higher requirements for resolution (needing 1800dpi×3600dpi) and recognition accuracy (needing 0.011mm), the optional configuration of the HM-NL model can be selected; for users with general requirements, the standard configuration can meet the needs.
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