Smart Remote Insect Monitoring System Insect Monitoring Device

NiuBoL NBL-IoT-SRPMS Intelligent Remote Insect Monitoring and Reporting System: Industrial-Grade Agricultural IoT Monitoring Solution

In the field of modern smart agriculture and forestry protection, precise and real-time pest dynamic monitoring is the core of building an Integrated Pest Management (IPM) system. The NBL-IoT-SRPMS intelligent remote insect monitoring and reporting system developed by NiuBoL is a high-end automatic monitoring terminal that integrates light-controlled attraction, far-infrared extermination, industrial-grade image acquisition, and AI algorithm identification. Strictly complying with the national standard GB/T 24689.1-2009, it is specifically designed for system integrators, IoT solution providers, and agricultural engineering contractors, aiming to replace traditional manual forecasting through digital means, significantly reducing data collection costs and improving early warning timeliness.

Insect Monitoring Device Technical Core and Industrial-Grade Hardware Architecture

As a professional-grade device oriented toward the B2B market, NBL-IoT-SRPMS fully considers the long-term high-frequency operation requirements in harsh field environments in terms of structural design and core components.

1. Structural Materials and Weather Resistance Guarantee
The overall structure of the equipment adopts a combination of high-quality stainless steel and galvanized sheet with spray plastic process, which not only complies with GB/T 4237 standard, but also ensures long-term stability in outdoor high-humidity and corrosive environments, with an anti-corrosion life of more than 2 years. Its protection level design balances the scientific nature of the insect entry channel with the safety protection of core electronic components.

2. Multi-dimensional Sensing and Intelligent Control System
The system integrates high-precision light, electricity, and numerical control technologies, achieving fully automatic unattended operation through real-time perception of ambient light intensity, rainfall, and time.
Light control response: Threshold precisely controlled at 850Lux, ensuring the device automatically switches working status at dusk and dawn, and effectively filters instantaneous strong light interference at night.
Rain control protection: Integrated high-sensitivity rainfall sensor automatically activates the drainage system during rain, achieving insect-water separation to ensure the drying chamber is not invaded by rainwater.
Power-off memory function: With underlying data protection mechanism, it automatically resumes unfinished operation instructions after power restoration.

3. Insect Processing and Drying Process
Unlike low-end electric shock forecasting lights, NiuBoL adopts far-infrared lethal technology.
Processing efficiency: The processing chamber maintains a working temperature of 85±5℃, ensuring rapid death of pests within 3-5 minutes.
Insect integrity: Scientific drying algorithm ensures complete, dry, and non-rotting insect bodies, providing high-quality samples for subsequent manual review and AI image recognition.

Intelligent Linkage: Communication Protocol and IoT Integration Capabilities

For system integrators, device compatibility and data openness are key to projects. NBL-IoT-SRPMS was positioned from the beginning as a core sensing node in smart agriculture systems.

• Diverse Communication Interfaces
  The device reserves standard RS485/RS232 communication interfaces and supports industrial-grade protocols such as Modbus. This means engineering parties can easily link the forecasting system with existing weather stations, soil moisture monitoring systems, etc., at the underlying level.

• Data Upload and Cloud Interaction
  4G/Ethernet dual-mode communication: Supports high-speed wireless network data transmission, ensuring real-time upload of 12-megapixel high-definition images to cloud servers.
  Android system tablet control: The device comes with a 10-inch industrial touchscreen, developed based on Android system, supporting on-site control mode setting and function self-check, greatly facilitating debugging work during the engineering implementation phase.

AI Intelligent Recognition Algorithm

Through the NiuBoL IoT software platform, the system can perform deep learning processing on collected pest images, automatically identify 1326 common pest species (including fall armyworm, cotton bollworm, rice planthopper, etc.), count quantities in real time, and draw occurrence trend curves.

Application Areas: Diversified Smart Monitoring Scenarios

The NiuBoL intelligent insect monitoring and reporting system has been widely used in multiple professional fields and has become a high-frequency standard configuration in agricultural engineering project bids:

• High-standard farmland construction projects: As a core component of digital farms, providing dynamic monitoring for field crops.

• Forestry pest and disease early warning systems: Deployed in forests and nature reserves to monitor quarantine pests such as pine caterpillars and American white moths.

• Customs and plant quarantine: Early detection of invasive species at ports, nurseries, etc.

• Smart tea gardens/orchards: Targeted monitoring of target pests such as fruit-piercing moths and borers in high-value crops.

Insect Monitoring Device System Parameters and Specifications Details

FAQ:

Q1: How does the system ensure equipment safety during extreme rainfall weather?
   A1: The system has a built-in intelligent rain control sensor. When rainfall is detected, the system automatically switches the trapping channel to drainage mode. Rainwater is discharged through louvers and internal diversion pipes without entering the infrared drying chamber or electronic component area.

Q2: How open is the data? Does it support access to our third-party IoT platform?
   A2: Fully supported. NiuBoL provides complete API interfaces and protocol documentation. Integrators can seamlessly connect insect data, high-definition images, and equipment operating status to the client's comprehensive management platform through RS485 interface or cloud data push function.

Q3: What is the accuracy of AI recognition? How to handle non-target pests?
   A3: Based on deep learning models, the recognition rate for specific target pests can reach over 90%. The system classifies non-target insects and supports manual review and annotation on the platform side to continuously optimize local recognition models.

Q4: How to solve power supply problems in remote areas without electricity?
   A4: We provide a customized 400W solar power supply solution, paired with a 200AH large-capacity battery, which can still maintain 5-7 days of normal operation during consecutive rainy weather.

Q5: What are the advantages of far-infrared insect killing compared to electric shock killing?
   A5: Electric shock often causes insect body fragmentation or adhesion to the grid, which is not conducive to image recognition and specimen collection. Far-infrared heating can quickly kill and dehydrate, maximizing the preservation of the original morphological characteristics of pests.

Q6: What is the working frequency of the cleaning device?
   A6: Cleaning frequency can be linked with photo intervals. After each photo is taken, the motor-driven brush automatically cleans the insect collection board, pushing the insects into the bottom collection drawer, ensuring the board remains clean and preventing image overlap recognition errors.

Q7: What are the requirements for poles or ground foundations during installation?
   A7: The equipment adopts pole fixing or base installation. We recommend using concrete embedded foundations of more than 1.5 meters to cope with outdoor high wind loads.

Q8: What is the general maintenance frequency of the equipment?
   A8: Due to the fully automatic processing system, daily maintenance mainly focuses on periodically cleaning the insect collection drawer (depending on insect volume) and annual replacement of the insect-attracting light tube. It is a low-maintenance-cost device.

Q9: Does it provide CMA or CNAS test reports?
   A9: Yes. Core components such as the insect-water separation mechanism, drying and killing efficiency, power consumption, etc., have all passed testing by third-party authoritative institutions with CMA/CNAS qualifications, fully meeting government bidding requirements.

Q10: Can it be equipped with other sensors such as weather stations?
   A10: The system is designed with powerful expansion ports and can directly carry NiuBoL brand temperature, humidity, wind speed, wind direction, rainfall, and other meteorological sensors to achieve integrated “pest + weather” monitoring.

Conclusion:

The NiuBoL intelligent remote insect monitoring and reporting system NBL-IoT-SRPMS is not just a device; it is a key link connecting biological information and the digital world in smart agriculture projects. Through highly reliable industrial design, precise infrared processing technology, and open IoT integration capabilities, we empower global partners to establish more efficient and scientific protection barriers in agriculture, forestry, and ecological monitoring fields.

For system integrators and engineering companies, what NiuBoL provides is not only products, but a complete technical delivery solution from underlying sensing, intermediate communication to upper-layer AI recognition.

Intelligent Remote Insect Monitoring and Reporting System(Insect Monitoring Device) Data Sheet

Intelligent Remote Insect Monitoring and Reporting System(Insect Monitoring Device) Data Sheet.pdf