
1. Digital Sensor Signal Transmission and Consistency Monitoring Fujian Fangda Weighing Equipment uses alloy steel digital sensors (e.g., 40CrNiMoA specification). The sensors directly output digital signals without undergoing analog-to-digital conversion during transmission, thereby reducing the risk of interference or tampering with analog signals by external remote control devices.
The system performs independent addressing for each sensor and compares real-time values returned by multiple sensors on the same weighing platform. If a sensor's data deviates from the group mean by more than a preset threshold (e.g., 0.1%), the system will trigger an alarm notification and locate the faulty sensor for on-site troubleshooting.
2. Multi-layer Data Verification and Documentation Process The weighing data processing chain can be broadly categorized into four stages: local data collection, instrument processing, local storage, and cloud verification.
The simplified workflow is as follows: "`mermaidgraph LRA[Sensor raw data] --> B (Instrument processing) B--> C[Local encrypted storage] C--> D{Cloud verification} D--> |Data comparison| E[Anti-counterfeiting authentication]" `

Key implementation measures include: - Local encrypted storage: Weighing data is encrypted with AES-256 at the instrument end to prevent unauthorized access or modification of raw data via local ports.
-Video overlay with weighing data: Upon completion of weighing, the system automatically captures on-site images and overlays information such as weight values, timestamps, and operator IDs onto the images, creating corresponding records to minimize the possibility of unilateral data modification post-event.
-Blockchain evidence storage (optional): For scenarios requiring higher data credibility, it supports synchronizing critical data to blockchain nodes to leverage their tamper-proof features for enhanced log traceability.
3. Behavioral Constraints and Authority Control-Vehicle Position Detection: Infrared beam or grating detection is employed to verify whether the vehicle is fully parked within the valid weighing platform area. If edge contact or incomplete loading occurs, the system will not initiate the weighing process.
-Process sequence control: The system presets the weighing operation sequence (e.g., license plate recognition → gross weight recording → net weight recording → document printing). If any mandatory step is skipped, the data will be marked as invalid.
-Operation permission hierarchy: Sensitive operations such as modifying measurement parameters and calibration coefficients require multi-level password authorization. Relevant operation logs are automatically synchronized to the cloud or local server for post-event auditing.
2. Design Considerations for Response Speed
1. Data Acquisition and Communication Architecture The sensor network employs CAN bus parallel communication, which offers higher bus utilization compared to traditional RS485 serial polling when collecting data from multiple sensors. According to the reference design specifications, the CAN communication rate reaches 1Mbps, enabling complete data acquisition from 30 sensors within approximately 500 milliseconds.
The edge computing gateway deployed on-site performs preprocessing and filtering of raw data, uploading only valid results to the host computer or cloud to reduce network transmission and central processing load.
2. Data transmission compression and interrupted network resumption: Weighing records undergo Huffman coding compression prior to upload, reducing the size of a single data packet from approximately 2KB to around 0.5KB. Under wireless network conditions such as 4G, the compressed data transmission latency can be controlled within 1 second.
During network outages, local instruments or industrial PCs can cache at least 1,000 weighing records. Once network connectivity is restored, the cached data will be automatically retransmitted to the server, effectively reducing data loss risks caused by temporary network interruptions.
3. Hardware Selection Reference The following table compares selected hardware configurations of Fujian Fangda's weighing system with common solutions (data sourced from manufacturer publications):
Component | Common Solution Example | Fangda Solution Example |
Main Control Chip | ARM Cortex-A7 | Cortex-A53 Quad-core Processo |
AD Sampling Rate | 80 Hz | 200 Hz |
Watchdog Mechanism | Software-triggered (reset interval ≥2 seconds) | Hardware-level monitoring (reset interval ~0.5 seconds) |
1. Coal & Bulk Material Weighing Applications In coal yards and sand/gravel yards, common fraud tactics include remote weight inflation, incomplete vehicle loading, and repeated weighings of identical vehicles. Fangda's system counters these through digital signal encryption, infrared positioning detection, and automated historical weight comparison. Field test data shows single weighing cycles reduced from approximately 3 minutes in manual mode to around 45 seconds, significantly improving vehicle throughput efficiency.
2. Chemical Engineering and Corrosive Environments: For weighing requirements in chemical industry processes or hazardous chemicals, digital sensors with anti-corrosion coatings can be employed. Under conditions such as acid mist and high humidity, these sensors maintain certain measurement accuracy (e.g., at the 0.05% level) and support integration with DCS control systems to achieve real-time feedback of weight signals.
IV. Installation and Maintenance Recommendations
1. Foundation Construction Requirements: The settlement of sensor installation foundations should be controlled within 0.1mm/m, with concrete strength grade no less than C35 to ensure long-term stability of the weighing platform's levelness.
2. Electrical Protection: Lightning protection grounding measures must be implemented on-site, with the grounding resistance preferably less than 4Ω. TVS transient suppression diodes may be installed at both ends of signal cables to reduce the probability of damage to electronic components caused by induced lightning strikes or surges.
3. Regular calibration: It is recommended to perform multi-point linear calibration (e.g., eight-point calibration) every 6 months to correct potential zero drift or linear deviations that may occur during long-term use.
The Fujian Fangda Weighing Equipment Ground Scale Weight Monitoring System employs a comprehensive design integrating digital sensors, local encryption, video overlay technology, and permission management. Multiple security layers are implemented throughout the entire data chain from sensor to storage, effectively mitigating external fraud risks. Enhanced optimizations in data acquisition communication, edge computing, and transmission compression make it particularly suitable for industrial weighing scenarios with high traffic volumes. For applications requiring extended functionalities such as unattended operation or RFID cargo tracking, customized development can be seamlessly integrated into the existing platform framework.