Multi-element sensing fusion monitoring management system for oil product
By designing a monitoring and management system with multi-sensor fusion, the problem that existing technology is difficult to monitor the oil product transportation process in real time is solved, and all-round monitoring and management of the transportation process is achieved, which improves transportation safety and management efficiency.
Patent Information
- Application Number
- CN202510292388.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-05-30
AI Technical Summary
Existing oil transportation supervision technologies are difficult to monitor various complex situations in real time during transportation, cannot effectively prevent oil theft and replacement, and it is difficult to record data and take emergency measures in emergencies such as network interruption.
Design a monitoring and management system that integrates multiple sensing, including hardware layer and software layer. The hardware layer uses intelligent microprocessors, multiple communication modules, sensor interface modules and other components, and the software layer forms a closed-loop monitoring link through functions such as event analysis modules, operation control modules, etc., to achieve all-round monitoring and management of the oil transportation process.
Real-time monitoring of the oil transportation process is realized, abnormal situations such as oil theft and replacement can be discovered and prevented in a timely manner, ensuring the integrity and continuity of data, and improving transportation safety and management efficiency.
Smart Images

Figure CN120075764A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of oil transportation supervision, and in particular to a monitoring and management system for oil products using multi-sensor fusion. Background Art
[0002] In modern society, with the booming development of the automobile industry and the continuous demand for oil products in industrial production, the safe transportation and effective management of oil products have become crucial links. However, in the current oil transportation process, the theft and replacement of oil products are frequent, and the means are becoming more and more covert and complicated, causing huge economic losses to enterprises and society.
[0003] Traditional oil tanker supervision methods mainly rely on physical seals and simple electronic locks. Physical seals are easily damaged and difficult to monitor in real time, which cannot effectively prevent theft by criminals; simple electronic locks can only achieve basic switch control and lack comprehensive monitoring and intelligent processing capabilities for various complex situations during transportation. At the same time, traditional supervision methods also find it difficult to collect and analyze key information such as liquid level changes, leakage, ambient temperature and humidity during oil transportation in real time and accurately.
[0004] In addition, if a network outage or other emergency occurs during transportation, traditional systems are often unable to effectively record relevant data and take emergency measures, making it difficult to trace and analyze the problem afterwards. Summary of the invention
[0005] The present invention is mainly aimed at the above-mentioned problems existing in the prior art, and provides a monitoring and management system for oil products using multi-sensor fusion.
[0006] The purpose of the present invention is mainly achieved through the following solutions: A monitoring and management system for oil products with multi-sensor fusion, including hardware layer, software layer and cloud monitoring platform; The hardware layer includes: Intelligent microprocessor, as the core controller of the system, connects and coordinates the various modules of the monitoring and management system; Communication module group: including Sub1G communication module, Bluetooth module, 2.4G / ZigBee module, LoRa module, and 4G communication module, which are connected to the intelligent microprocessor through SPI or UART interface respectively, and are used for data interaction with electronic seals, sensors and Internet of Things platforms; Lock control and verification module: including a CAN electronic lock and an NFC / RFID module. The CAN electronic lock is connected to the intelligent microprocessor via the CAN bus to control the opening and closing of the loading and unloading port. The NFC / RFID module is connected to the intelligent microprocessor via the I2C interface to receive the identity verification signal and to work in conjunction with the CAN electronic lock. Sensor interface module: includes RS485 circuit and RS232 circuit. The RS485 circuit accesses the liquid level gauge, flow meter, smoke sensor and leak sensor through the Modbus protocol, and the RS232 circuit is connected to the audible and visual alarm and temperature and humidity sensor; Local interaction module: includes LCD display screen, touch keys and voice playback circuit, which are respectively connected to the intelligent microprocessor through GPIO and PWM interfaces for local operation and status feedback; Emergency module: includes backup battery and SD card. The backup battery powers the system through the power management circuit, and the SD card stores offline data through the SPI interface; GNSS positioning module, connected to the intelligent microprocessor through the serial port, and uploads the vehicle position to the cloud in real time; The software layer includes device service subsystem and monitoring subsystem; The device service subsystem runs in the intelligent microprocessor and includes: Gateway module, used to parse multi-protocol data; Event analysis module, judging abnormal events based on sensor data thresholds; Operation control module, controlling the opening and closing of the CAN electronic lock according to the NFC verification result; The monitoring subsystem is deployed on the cloud platform, including map monitoring, remote unlocking and locking, and alarm record functions; The hardware layer and the software layer interact with the cloud monitoring platform in real time through the 4G communication module to form a closed-loop monitoring link.
[0007] Preferably, the Sub1G communication module and the electronic seal device are wirelessly connected through the Sub1G protocol to monitor the physical state of the seal in real time. When the seal is detected to be disconnected or the signal is lost, the event analysis module is triggered to generate a tampering alarm and upload it to the cloud through the 4G communication module.
[0008] Preferably, the linkage logic between the NFC / RFID module and the CAN electronic lock is: before the loading and unloading operation, the operation permission needs to be verified by swiping the NFC / RFID card. After successful verification, the operation control module sends an unlocking instruction to the CAN electronic lock. If the lock is forcibly opened without verification, the audible and visual alarm is triggered and the violation event is recorded.
[0009] Preferably, the data of the liquid level gauge and the flow meter connected by the RS485 circuit are compared in real time by the event analysis module. If the deviation between the liquid level drop rate and the statistical value of the flow meter exceeds 5%, it is determined as a leakage risk and the voice playback circuit is activated to prompt the driver to check.
[0010] Preferably, the offline data stored in the SD card includes GNSS positioning tracks, sensor readings and operation logs, which are uploaded to the cloud in timestamp order through the 4G communication module after the network is restored.
[0011] In summary, compared with the prior art, the present invention has the following beneficial technical effects: (1) The present invention integrates multiple sensors to monitor the seal status, liquid level changes, flow information, ambient temperature and humidity, leakage and smoke in real time during the transportation of oil products, thereby achieving all-round monitoring of the transportation process and effectively preventing abnormal situations such as theft and replacement of oil products; (2) The event analysis module of the present invention can perform real-time analysis on sensor data based on preset thresholds. Once an abnormal situation is detected, such as tampering with the seal or abnormal liquid level drop rate, the corresponding alarm mechanism is immediately triggered, and relevant personnel are notified in a timely manner through voice prompts, sound and light alarms, and cloud alarm records, so that countermeasures can be taken quickly; (3) The present invention ensures that only authorized personnel can perform loading and unloading operations through the linkage of NFC / RFID module and CAN electronic lock, effectively preventing illegal opening of loading and unloading ports and improving the safety of oil transportation. At the same time, when the lock is forcibly opened without verification, the sound and light alarm can be triggered in time and the violation event can be recorded, providing a basis for subsequent tracing; (4) The present invention provides a backup battery and an SD card, so that the system can continue to operate and reliably record key data in emergencies such as external power outage or network interruption. After the network is restored, the offline data can be retransmitted to the cloud in timestamp order, ensuring the integrity and continuity of the data, providing strong support for subsequent analysis and decision-making; (5) The present invention uses the real-time interaction between the 4G communication module and the cloud monitoring platform. Management personnel can remotely monitor and manage the oil tanker through the cloud monitoring platform anytime and anywhere, such as checking the vehicle location, performing remote unblocking operations, and checking alarm records, which greatly improves management efficiency and response speed. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Figure 1 It is a structural block diagram of the present invention. DETAILED DESCRIPTION
[0013] The technical solution of the present invention is further described in detail below through specific embodiments and in conjunction with the accompanying drawings. It should be understood that the implementation of the present invention is not limited to the following embodiments, and any form of modification and / or change made to the present invention will fall within the protection scope of the present invention.
[0014] like Figure 1As shown, the present invention discloses a technical solution for a monitoring and management system of multi-sensor fusion for oil products, including a hardware layer, a software layer and a cloud monitoring platform, and realizes full-process monitoring through a hardware-software-cloud three-layer architecture.
[0015] Specifically, the hardware layer includes: an intelligent microprocessor, a communication module group, a lock control and verification module, a sensor interface module, a local interaction module, an emergency module and a GNSS positioning module.
[0016] The intelligent microprocessor, as the core controller of the system, is responsible for coordinating the work of each module and processing data interaction and control instructions; Communication module group: including Sub1G communication module, Bluetooth module, 2.4G / ZigBee module, LoRa module, and 4G communication module, which are connected to the intelligent microprocessor through SPI or UART interface respectively, and are used for data interaction with electronic seals, sensors and Internet of Things platforms; among them, the Sub1G communication module monitors the physical status of the seal in real time, the Bluetooth module is used for close-range data interaction, the 2.4G / ZigBee module and LoRa module are used for low-power wireless transmission, and the 4G communication module realizes real-time communication with the cloud platform; Lock control and verification module: including CAN electronic lock and NFC / RFID module. CAN electronic lock is connected to the intelligent microprocessor through CAN bus to control the opening and closing of loading and unloading port. NFC / RFID module is connected to the intelligent microprocessor through I 2 The C interface is connected to the intelligent microprocessor to receive the identity authentication signal and link with the CAN electronic lock to ensure the safety of loading and unloading operations; Sensor interface module: including RS485 circuit and RS232 circuit. RS485 circuit is connected to liquid level meter, flow meter, smoke sensor and side leakage sensor through Modbus protocol to monitor vehicle status in real time. RS232 circuit is connected to sound and light alarm and temperature and humidity sensor to provide alarm and environment monitoring functions. Local interaction module: including LCD display, touch buttons and voice playback circuit, which are connected to the intelligent microprocessor through GPIO and PWM interfaces respectively to provide local operation interface and status feedback; Emergency module: includes backup battery and SD card. The backup battery powers the system through the power management circuit, and the SD card stores offline data through the SPI interface to ensure data security when the system is powered off or offline. The GNSS positioning module is connected to the intelligent microprocessor through the serial port to upload the vehicle location to the cloud in real time.
[0017] Specifically, the software layer includes a device service subsystem and a monitoring subsystem; The equipment service subsystem runs in an intelligent microprocessor and includes: a gateway module, an event analysis module and an operation control module.
[0018] A gateway module for parsing multi-protocol data; An event analysis module for judging abnormal events based on sensor data thresholds; An operation control module for controlling the opening and closing of the CAN electronic lock according to the NFC verification result; The monitoring subsystem is deployed on the cloud platform, including map monitoring, remote unlocking and locking, and alarm record functions. The map monitoring displays the vehicle position and status in real time; the remote unlocking and locking allows the administrator to remotely control the opening and closing of the loading and unloading ports; the alarm record function records abnormal events and handling measures; Specifically, the hardware layer and the software layer interact with the cloud monitoring platform in real time through the 4G communication module to form a closed-loop monitoring link. The cloud monitoring platform receives and stores data from the device service subsystem, provides remote monitoring, historical data query and analysis functions. The administrator can view the vehicle position, status information, alarm records, etc. in real time through the cloud monitoring platform to achieve comprehensive monitoring and management of the oil transportation vehicles.
[0019] Specifically, the Sub1G communication module and the electronic seal device are wirelessly connected through the Sub1G protocol to monitor the physical state of the seal in real time. When the seal is detected to be disconnected or the signal is lost, the event analysis module is triggered to generate a tampering alarm and upload it to the cloud through the 4G communication module.
[0020] Specifically, the linkage logic between the NFC / RFID module and the CAN electronic lock is as follows: Before the loading and unloading operation, the operation permission needs to be verified by swiping the NFC / RFID card. After successful verification, the operation control module sends an unlocking instruction to the CAN electronic lock. If the lock is forcibly opened without verification, the audible and visual alarm is triggered and the violation event is recorded.
[0021] Specifically, the data of the liquid level gauge and the flowmeter connected by the RS485 circuit are compared in real time by the event analysis module. If the deviation between the liquid level drop rate and the statistical value of the flowmeter exceeds 5%, it is determined as a leakage risk and the voice playback circuit is started to prompt the driver to check.
[0022] Specifically, the offline data stored in the SD card includes GNSS positioning tracks, sensor readings and operation logs, and is uploaded to the cloud in chronological order through the 4G communication module after the network is restored.
[0023] Taking an oil company as an example, the specific implementation manner of the present invention is described in detail: 1. System Installation: Install this monitoring and management system on the oil tanker. Install the intelligent microprocessor at a suitable position on the vehicle as the core control unit of the system; install the Sub1G communication module close to the electronic seal to ensure stable reception of the electronic seal signal; accurately connect the CAN electronic lock to the mechanical structure of the loading and unloading port to control the opening and closing of the loading and unloading port; connect the liquid level gauge, flow meter, smoke sensor and side leakage sensor to the intelligent microprocessor through the RS485 circuit; connect the audible and visual alarm and the temperature and humidity sensor through the RS232 circuit; connect the LCD display screen, touch keys and voice playback circuit to the intelligent microprocessor through the corresponding interfaces respectively; install the backup battery and SD card at suitable positions and connect them to the intelligent microprocessor through the power management circuit and SPI interface; install the GNSS positioning module at a position where satellite signals can be received well and connect it to the intelligent microprocessor through the serial port. 2. Preparation before Transportation: Before transporting the oil products, the operator inputs relevant operation instructions through the touch keys and uses the NFC / RFID card for identity verification. After the NFC / RFID module receives the identity verification signal, it transmits the signal to the intelligent microprocessor, and the operation control module determines whether to send an unlocking instruction to the CAN electronic lock according to the verification result. If the verification is successful, the CAN electronic lock opens the loading and unloading port for oil product loading; if the verification fails, the CAN electronic lock remains locked and the operator is prompted of the verification failure through the voice playback circuit. 3. Monitoring during Transportation: During transportation, the Sub1G communication module monitors the status of the electronic seal in real time. Once the seal is detected to be broken or the signal is lost, the information is immediately transmitted to the intelligent microprocessor, triggering the event analysis module to generate a tampering alarm and uploading it to the cloud monitoring platform through the 4G communication module. At the same time, the liquid level gauge and flow meter connected by the RS485 circuit collect the liquid level and flow data of the oil products in real time and transmit them to the intelligent microprocessor, and the event analysis module compares these data in real time. If the deviation between the liquid level drop rate and the statistical value of the flow meter exceeds 5%, it is determined that there is a leakage risk, the voice playback circuit is activated to prompt the driver to check, and an alarm message is sent to the cloud monitoring platform through the 4G communication module. In addition, the smoke sensor and side leakage sensor monitor the smoke and leakage conditions in the transportation environment in real time, and the temperature and humidity sensor collects the environmental temperature and humidity data. These data are all transmitted to the intelligent microprocessor through the corresponding circuits for processing and analysis. The GNSS positioning module uploads the vehicle position information to the cloud monitoring platform in real time, and the management personnel can view the position and driving track of the oil tanker in real time through the map monitoring function. 4. Emergency handling: When the external power supply is interrupted during transportation, the backup battery automatically powers the system through the power management circuit to ensure the normal operation of the system. In case of network interruption, the SD card starts storing offline data such as GNSS positioning trajectories, sensor readings, and operation logs. When the network is restored, the data in the SD card is uploaded to the cloud monitoring platform in chronological order of timestamps through the 4G communication module to ensure data integrity; 5. Remote management operations: Managers can view the location and driving trajectory of the oil tanker in real time through the map monitoring function of the cloud monitoring platform; when necessary, they can remotely operate the CAN electronic lock of the oil tanker through the remote unlocking and locking function; meanwhile, the alarm record function can record all alarm events generated by the system, facilitating managers to consult and analyze and take corresponding measures in a timely manner.
[0024] The above are all preferred embodiments of this application. The protection scope of this application is not limited hereby. Therefore, all equivalent changes made according to the structure, shape, and principle of this application shall be covered within the protection scope of this application.
Claims
1. A monitoring and management system for oil products with multi-sensor fusion, characterized by: Including hardware layer, software layer and cloud monitoring platform; The hardware layer includes: Intelligent microprocessor, as the core controller of the system, connects and coordinates the various modules of the monitoring and management system; Communication module group: including Sub1G communication module, Bluetooth module, 2.4G / ZigBee module, LoRa module, and 4G communication module, which are connected to the intelligent microprocessor through SPI or UART interface respectively, and are used for data interaction with electronic seals, sensors and Internet of Things platforms; Lock control and verification module: including CAN electronic lock and NFC / RFID module. The CAN electronic lock is connected to the intelligent microprocessor through the CAN bus to control the opening and closing of the loading and unloading port. The NFC / RFID module is connected to the intelligent microprocessor through the I 2 The C interface is connected to the intelligent microprocessor to receive the identity authentication signal and link with the CAN electronic lock; Sensor interface module: including RS485 circuit and RS232 circuit. The RS485 circuit is connected to the liquid level meter, flow meter, smoke sensor and side leakage sensor through Modbus protocol. The RS232 circuit is connected to the sound and light alarm and temperature and humidity sensor. Local interaction module: including LCD display, touch buttons and voice playback circuit, which are connected to the intelligent microprocessor through GPIO and PWM interfaces respectively for local operation and status feedback; Emergency module: including a backup battery and an SD card, wherein the backup battery supplies power to the system through a power management circuit, and the SD card stores offline data through an SPI interface; The GNSS positioning module is connected to the intelligent microprocessor through the serial port to upload the vehicle position to the cloud in real time; The software layer includes a device service subsystem and a monitoring subsystem; The device service subsystem runs in an intelligent microprocessor and includes: Gateway module, used to parse multi-protocol data; Event analysis module, which determines abnormal events based on sensor data thresholds; The operation control module controls the opening and closing of the CAN electronic lock according to the NFC verification result; The monitoring subsystem is deployed on the cloud platform, including map monitoring, remote unblocking and alarm recording functions; The hardware layer and the software layer interact with the cloud monitoring platform in real time through the 4G communication module to form a closed-loop monitoring link.
2. The monitoring and management system for oil products using multi-sensor fusion according to claim 1 is characterized in that: The Sub1G communication module is connected to the electronic seal device through Sub1G protocol wireless communication to monitor the physical status of the seal in real time. When the seal is detected to be disconnected or the signal is lost, the event analysis module is triggered to generate a tampering alarm and upload it to the cloud through the 4G communication module.
3. The monitoring and management system for oil products using multi-sensor fusion according to claim 1 is characterized in that: The linkage logic between the NFC / RFID module and the CAN electronic lock is as follows: before loading and unloading operations, the operation authority must be verified by swiping the NFC / RFID card. After successful verification, the operation control module sends an unlocking command to the CAN electronic lock. If the lock is forcibly opened without verification, the sound and light alarm will be triggered and the violation will be recorded.
4. The monitoring and management system for oil products using multi-sensor fusion according to claim 1 is characterized in that: The data of the liquid level meter and flow meter connected by the RS485 circuit are compared in real time by the event analysis module. If the deviation between the liquid level drop rate and the flow meter statistical value exceeds 5%, it is determined as a leakage risk and the voice playback circuit is activated to prompt the driver to check.
5. The monitoring and management system for oil products using multi-sensor fusion according to claim 1 is characterized in that: The offline data stored in the SD card includes GNSS positioning tracks, sensor readings and operation logs, which are uploaded to the cloud in timestamp order through the 4G communication module after the network is restored.