Application of Shidian Active Screen-Display RFID Electronic Tags in Digital Tree Monitoring and Precise Personnel Management

I. Project Background and Objectives

1.1 Background

This solution leverages the core technology of West Electric's active display RFID electronic tags to establish an integrated forestry management system combining "digital tree monitoring and precise personnel management." It effectively addresses issues prevalent in traditional forestry management, such as low efficiency, poor accuracy, and difficulty in traceability. Through the implementation of this solution, it is expected to drive the digital transformation of forestry management, enhancing the scientific rigor and sustainability of forest resource management. Future expansion of platform functionalities, such as intelligent pest and disease identification and growth trend prediction, can be achieved by integrating technologies like artificial intelligence and big data analytics, thereby continuously improving management standards.

1.2 Objectives

• Digital Tree Management: Achieve visual presentation of basic tree information, real-time collection, transmission, and monitoring of key environmental data such as soil temperature, humidity, pH value, and NPK levels, and establish a comprehensive lifecycle data archive for each tree.
• Precise Personnel Management: Through interaction between dual-frequency inspection activators and electronic tags, enable maintenance personnel to clock in/out during inspections, facilitate attendance statistics, and trace work trajectories, thereby enhancing the standardization and efficiency of inspection tasks.
• Intelligent Management Decision-Making: Based on data analysis from the management center, provide data support for tree maintenance, pest and disease control, and personnel scheduling, promoting a shift in forestry management from "experience-driven" to "data-driven."

II. Overall Solution Architecture

This solution adopts a four-layer architecture of "Perception Layer - Transmission Layer - Platform Layer - Application Layer" to build a comprehensive, integrated forestry management system. The functions of each layer are as follows:

2.1 Perception Layer

As the core layer for data acquisition, it primarily consists of West Electric's active display RFID electronic tags, wireless sensors, and dual-frequency inspection activators.

• Active Display RFID Electronic Tags: Attached to individual trees, featuring information display capabilities (showing basic information such as tree ID, species, age, planting date) and real-time soil environment data. Equipped with an embedded RFID chip, it can receive data from wireless sensors and communicate wirelessly with dual-frequency activators and 4G base stations.
• Wireless Sensors: Deployed in the soil around tree root systems to accurately collect environmental data such as soil temperature, humidity, pH value, and NPK content, transmitting the data wirelessly in real-time to the bound electronic tag.
• Dual-Frequency Inspection Activator: Carried by maintenance personnel, featuring dual-frequency communication. When approaching an electronic tag, it activates the tag to complete a check-in and simultaneously reports the personnel ID to the platform.

2.2 Transmission Layer

Serving as the bridge for data transmission, it consists of RFID wireless 4G base stations and wireless communication networks. Electronic tags transmit collected soil environment data and personnel check-in data wirelessly to the nearest 4G base station. The base station then encrypts and uploads the data to the management center platform via the 4G network, ensuring real-time and secure data transmission.

2.3 Platform Layer

As the core hub of the management solution, namely the Forestry Tree and Maintenance Personnel Management Center Platform, it possesses functions for data storage, processing, analysis, and visualization. The platform can be designed with a cloud architecture or deployed on-premises, supporting stable data storage. It processes raw data through data cleansing and integration algorithms to generate standardized data reports. Featuring a visual interface, it displays real-time information on tree status, personnel attendance, inspection trajectories, etc.

III. Core Function Design

3.1 Tree Management Module

3.1.1 Tree Information Binding and Display

Assign a unique identification number to each tree. Use the management platform to input and bind basic tree information (ID, species, age, planting date, growth habits, maintenance records, etc.) to the corresponding active display RFID electronic tag. The tag's display screen shows this basic information in real-time, allowing maintenance personnel to quickly access it on-site without carrying paper records.

3.1.2 Real-Time Soil Environment Data Monitoring

Wireless sensors deployed in the soil collect data such as soil temperature, humidity, pH value, and NPK content at preset frequencies (e.g., once per hour) and transmit it wirelessly to the bound electronic tag. Upon receiving the data, the electronic tag updates its display in real-time and simultaneously uploads the data to the 4G base station, which is then synchronized to the management center platform.

The platform presets threshold values for soil environment parameters suitable for the growth of various tree species. When monitored data exceeds these thresholds (e.g., soil humidity below drought tolerance, insufficient nitrogen content), the platform automatically triggers alerts, notifying relevant maintenance personnel via SMS, platform pop-ups, etc., to promptly take maintenance measures such as irrigation or fertilization.

3.1.3 Tree Growth Archive Management

The management center platform automatically records the full lifecycle data of each tree, including initial planting information, historical curves of soil environment data, maintenance records (e.g., irrigation times, fertilizer amounts, pest and disease control measures), and photos of growth status. Managers can query historical data for individual trees via the platform, analyze growth trends, and provide data support for species optimization and maintenance plan adjustments.

3.2 Maintenance Personnel Management Module

When maintenance personnel carrying dual-frequency inspection activators perform inspection tasks and approach an electronic tag bound to a tree (within an effective range, e.g., 1-3 meters), the activator automatically establishes communication with the tag and completes the check-in. The check-in data (including personnel ID, check-in time, corresponding tree ID) is uploaded in real-time to the management center platform, which automatically records the personnel's inspection trajectory and working hours.

IV. Implementation Steps

4.1 Preliminary Preparation Phase (1-2 Months)

• Requirement Survey and Solution Refinement: Conduct in-depth surveys of the actual situation, including forest area scale, tree species distribution, existing management processes, and inspection routes. Refine the deployment plan for electronic tags, sensors, and 4G base stations (e.g., base station coverage, sensor installation depth).
• Equipment Selection and Procurement: Based on the refined plan, procure West Electric's active display RFID electronic tags, compatible wireless sensors, dual-frequency inspection activators, RFID wireless 4G base stations, and complete equipment debugging.
• Platform Development and Deployment: Based on core functional requirements, develop the Forestry Management Center Platform, complete data interface debugging and database setup, and deploy it to cloud servers.

4.2 Pilot Deployment Phase (2-3 Months)

• Small-Scale Equipment Installation: Select 1-2 typical areas within the forest (e.g., areas with different tree species or terrains) to complete electronic tag binding, sensor deployment, and 4G base station installation and debugging.

V. Expected Benefits

5.1 Management Efficiency Improvement

Automate soil environment data collection and personnel check-in recording, reducing manual recording and statistical workload. It is estimated that tree management efficiency can be improved by over 50%, and personnel attendance management time can be reduced by over 60%.

5.2 Maintenance Quality Optimization

Based on real-time environmental data and alert mechanisms, achieve precision in tree maintenance, reducing blind irrigation and fertilization. It is estimated that maintenance costs can be lowered by approximately 30%, while simultaneously improving tree survival rates and growth quality.

5.3 Management Decision-Making Upgrade

Through the accumulation and analysis of full lifecycle data, provide scientific basis for forestry planning, tree species optimization, and personnel scheduling, promoting the transition of forestry management from traditional models to intelligent and digitalized approaches.

5.4 Clear Accountability and Traceability

Based on inspection trajectories and check-in data, achieve precise traceability of personnel work responsibilities, enhancing the motivation and sense of responsibility among maintenance personnel, and reducing work oversights and buck-passing.