High-precision multi-dimensional cross-modulation data acquisition and analysis system

Abstract

The utility model relates to the technical field of data transmission, in particular to a high-precision multi-dimensional cross-modulation data acquisition and analysis system. The system comprises a data acquisition module and a data transfer module, and the data acquisition module is connected with the data transfer module; the data acquisition module comprises a dynamic weighing instrument, a laser radar and a camera, the data transfer module comprises a sensor node unit, a communication gateway and a server, the sensor node unit is respectively connected with the dynamic weighing instrument, the laser radar and the camera, and the sensor node unit uploads received data to the communication gateway. The server is used for receiving the uploaded data in the communication gateway and uploading the data to the upper computer, the state, characteristics and behaviors of the vehicle can be known more deeply through the plurality of data acquisition devices, and data acquisition and monitoring can be carried out in a wider area.

Description

Technical Field

[0001] The utility model relates to the technical field of data transmission, in particular to a high-precision multi-dimensional intermodulation data acquisition and analysis system. Background Art

[0002] In the existing technology, road traffic flow detection points mainly rely on video, microwave, single-line laser, ultrasound and other technical means to detect the speed, model and number of vehicles. The vehicle data that can be provided can obtain information such as the speed, model and number of vehicles in real time through video analysis, microwave detection, laser ranging and ultrasonic ranging. These data play a very important role in traffic planning, traffic management and decision-making, but there is currently a lack of accurate detection means for vehicle weight. At the same time, the recognition accuracy of vehicle models and axle types is low, and the dimensions of detection information are few, which greatly limits the credibility of statistical data and the value of subsequent data mining. In addition, intermodulation detection is usually deployed on key sections such as trunk roads, regional junctions, bridges and tunnels of highways or ordinary roads. It is widely distributed and some points are remote. It is difficult to deploy a dedicated wired network. It is necessary to use wireless sensor networks to realize data transmission. However, due to the limitation of sensor volume and the difference in network deployment space, the service life and signal transmission capacity of wireless sensor networks at different nodes vary greatly, resulting in a large gap between the reliability and stability of the network and the wired network. At this stage, a high-precision multi-dimensional intermodulation data acquisition and analysis system is needed. Utility Model Content

[0003] In order to solve the problem that the detection information of traffic flow detection points has fewer dimensions and data transmission is difficult, the utility model provides a high-precision multi-dimensional cross-modulation data acquisition and analysis system.

[0004] The utility model provides a high-precision multi-dimensional intermodulation data acquisition and analysis system, which adopts the following technical solutions:

[0005] A high-precision multi-dimensional intermodulation data acquisition and analysis system, comprising:

[0006] A data acquisition module and a data transfer module, wherein the data acquisition module is connected to the data transfer module;

[0007] The data acquisition module includes a dynamic weighing instrument, a laser radar and a camera, and the data transfer module includes a sensor node unit, a communication gateway and a LoRaWAN server. The sensor node unit is connected to the dynamic weighing instrument, the laser radar and the camera respectively. The sensor node unit uploads the received data to the communication gateway. The LoRaWAN server is used to receive the uploaded data in the communication gateway and upload the data to the host computer.

[0008] Furthermore, the sensor node unit includes a LoRa modem, a radio frequency transceiver and a microcontroller, the LoRa modem is connected to the radio frequency transceiver through an SPl communication interface, the transmitting end of the radio frequency transceiver is connected to an antenna, and the microcontroller is bidirectionally connected to the LoRa modem through a serial port.

[0009] Furthermore, the sensor node units are respectively connected to a dynamic weighing instrument, a laser radar and a camera, including data output ends of the dynamic weighing instrument, the laser radar and the camera are all connected to an adapter, and the microcontroller is respectively connected to the dynamic weighing instrument, the laser radar and the camera through the adapter.

[0010] Furthermore, the communication gateway adopts a LoRa gateway for receiving data uploaded by the sensor node unit, and the LoRa gateway is connected to the LoRaWAN server via Ethernet to forward data.

[0011] Furthermore, the radio frequency transceiver is connected to the LoRa gateway for bidirectional communication via wireless radio frequency signals.

[0012] Furthermore, the dynamic weighing instrument includes a weighing sensor, an analog-to-digital conversion board, a processor and an interface expansion board. The weighing sensor is connected to the processor via the analog-to-digital conversion board, and the data output end of the processor is connected to the interface expansion board for realizing external information interaction.

[0013] Furthermore, the analog-to-digital conversion board includes a plurality of analog-to-digital converters and an SPl interface, and the data output end of the analog-to-digital converter is connected to the processor via the SPl interface.

[0014] Furthermore, an ARM processor chip and an SPL communication interface are provided inside the processor, and the ARM processor chip is connected to the adapter via the SPL communication interface.

[0015] Furthermore, the interface expansion board includes a plurality of USB interfaces, and the ARM processor chip is connected to the interface expansion board via a data line.

[0016] Furthermore, the laser radar adopts a solid-state multi-line laser radar.

[0017] In summary, the utility model has the following beneficial technical effects:

[0018] 1. The utility model uses sensor node units to collect multi-dimensional intermodulation data, which can provide more comprehensive and accurate data information. The communication gateway is responsible for collecting and integrating the data collected by the sensor node units, and transmitting it to the LoRaWAN server through the wireless LoRaWAN communication protocol. This structure can improve the efficiency of data collection and transmission, reduce data loss and delay, and does not need to rely on complex wired networks. This allows the system to collect and monitor data in a wider area, which is suitable for remote and decentralized application scenarios.

[0019] 2. The utility model adopts multiple data acquisition devices, which can simultaneously obtain information such as the weight, shape, position and movement of the vehicle. Through multiple data acquisition devices, a deeper understanding of the vehicle's status, characteristics and behavior can be obtained. This multi-dimensional data acquisition helps to reveal potential problems in the system, improves the dimension of detection information, and increases the credibility of statistical data and the value of subsequent data mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is an overall connection diagram of a high-precision multi-dimensional intermodulation data acquisition and analysis system according to an embodiment of the utility model.

[0021] Figure 2 It is a schematic diagram of the structural connection of a dynamic weighing instrument according to an embodiment of the utility model.

[0022] Figure 3 It is a schematic diagram of the installation steps of the dynamic weighing instrument of the embodiment of the utility model.

[0023] Figure 4 It is a schematic diagram of the connection of sensor nodes in a high-precision multi-dimensional intermodulation data acquisition and analysis system in an embodiment of the utility model.

[0024] Figure 5 It is a data transmission flow chart of the data transfer module in the embodiment of the utility model. DETAILED DESCRIPTION

[0025] The utility model is further described in detail below in conjunction with the accompanying drawings.

[0026] Example 1

[0027] Reference Figure 1 , a high-precision multi-dimensional intermodulation data acquisition and analysis system of this embodiment includes:

[0028] A high-precision multi-dimensional intermodulation data acquisition and analysis system, comprising:

[0029] A data acquisition module and a data transfer module, wherein the data acquisition module is connected to the data transfer module;

[0030] The data acquisition module includes a dynamic weighing instrument, a laser radar and a camera, and the data transfer module includes a sensor node unit, a communication gateway and a LoRaWAN server. The sensor node unit is connected to the dynamic weighing instrument, the laser radar and the camera respectively. The sensor node unit uploads the received data to the communication gateway. The LoRaWAN server is used to receive the uploaded data in the communication gateway and upload the data to the host computer.

[0031] The sensor node unit includes a LoRa modem, a radio frequency transceiver and a microcontroller. The LoRa modem is connected to the radio frequency transceiver through an SPl communication interface, the transmitting end of the radio frequency transceiver is connected to an antenna, and the microcontroller is bidirectionally connected to the LoRa modem through a serial port.

[0032] The sensor node units are respectively connected to a dynamic weighing instrument, a laser radar and a camera, including data output ends of the dynamic weighing instrument, the laser radar and the camera are all connected to an adapter, and the microcontroller is respectively connected to the dynamic weighing instrument, the laser radar and the camera through the adapter.

[0033] The communication gateway adopts a LoRa gateway, which is used to receive data uploaded by the sensor node unit. The LoRa gateway is connected to the LoRaWAN server via Ethernet to forward data.

[0034] The radio frequency transceiver is connected to the LoRa gateway for bidirectional communication via wireless radio frequency signals.

[0035] The dynamic weighing instrument includes a weighing sensor, an analog-to-digital conversion board, a processor and an interface expansion board. The weighing sensor is connected to the processor via the analog-to-digital conversion board, and the data output end of the processor is connected to the interface expansion board for realizing external information interaction.

[0036] The analog-to-digital conversion board includes a plurality of analog-to-digital converters and an SPl interface, and the data output end of the analog-to-digital converter is connected to the processor via the SPl interface.

[0037] An ARM processor chip and an SPL communication interface are arranged inside the processor, and the ARM processor chip is connected to the adapter via the SPL communication interface.

[0038] The interface expansion board includes a plurality of USB interfaces, and the ARM processor chip is connected to the interface expansion board via a data line.

[0039] The laser radar adopts a solid-state multi-line laser radar.

[0040] Specifically, a high-precision multi-dimensional intermodulation data acquisition and analysis system of this embodiment includes the following steps:

[0041] like Figure 1 As shown, the utility model adopts front-end support technology including high-speed dynamic weighing equipment, multi-line hybrid solid-state laser radar and general high-definition video capture camera, which are all used in mature various types of vehicle overload management systems and vehicle non-stop detection systems for a long time. It has rich experience in data analysis and processing, and has accumulated a large amount of historical data such as vehicle weighing, outline, image, video, etc. for various vehicle detection systems. On this basis, it has the ability to carry out vehicle holography. The specific solution includes a dynamic weighing instrument, a laser radar and a camera. The data transfer module includes a sensor node unit, a communication gateway and a LoRaWAN server. The sensor node unit is connected to the dynamic weighing instrument, the laser radar and the camera for data collection. The sensor node unit uploads the received data to the communication gateway. The LoRaWAN server is used to receive the uploaded data in the communication gateway and upload the data to the host computer for data transmission.

[0042] like Figure 2 As shown, in the data acquisition module, the weighing sensor used in the dynamic weighing instrument is the core component of the dynamic weighing instrument, which is used to measure the weight of the vehicle on the lane. A weighing sensor is installed under each lane. When the vehicle drives over the weighing sensor, the weighing sensor will sense the weight change of the vehicle. The sensor converts the vehicle weight into an electrical signal and converts it into a digital signal through ADC. Then, the processor processes and stores the digital signal. The processor is equipped with an ARM processor chip and an SPL communication interface. The ARM processor chip is connected to the adapter through the SPL communication interface to transmit data. In addition, the dynamic weighing instrument is equipped with an interface expansion board. The interface expansion board includes multiple USB interfaces connected to the ARM processor chip through a data cable, which can be used for additional connections and is commonly used to connect various external devices, such as connecting storage devices to expand the storage space of the dynamic weighing instrument.

[0043] like Figure 3 As shown, when installing the dynamic weighing instrument, first install the weighing sensor, ensure that the sensor is firmly installed and parallel to the ground, thereby improving the measurement accuracy. After the installation is completed, perform calibration and debugging to ensure the accuracy and stability of the weighing sensor, connect the output pin of the weighing sensor to the analog-to-digital conversion board for data transmission, transmit the digital signal to the processor through the analog-to-digital converter, connect the interface expansion board to the processor through the data line to achieve interface expansion, and after completing the installation and configuration, perform testing and verification to ensure the normal operation of the dynamic weighing instrument.

[0044] In the solid-state multi-line laser radar part, a multi-line hybrid solid-state laser radar is used to collect three-dimensional point cloud data in the environment. It uses a laser beam transmitter to emit multiple laser lines and receives the reflected laser signal through a receiver. By calculating the time and space information of the laser signal, the three-dimensional point cloud data of the surrounding environment is obtained. The multi-line hybrid solid-state laser radar has the characteristics of high precision, high resolution and strong anti-interference ability. It can provide accurate target detection, vehicle distance measurement and vehicle motion analysis data. The general high-definition video capture camera captures road images for applications such as vehicle identification, pedestrian identification, and license plate recognition. It provides rich traffic data, such as the number of vehicles and vehicle types. After the data acquisition module is collected, it is finally uploaded to the sensor node unit through the adapter for data transmission. The adapter is configured according to the adapter specifications, including setting parameters such as communication protocol, baud rate, and data format to ensure correct communication between the sensor device and the LoRaWAN sensor node.

[0045] like Figure 4 As shown, the data transfer module is composed of a sensor node unit, a communication gateway and a LoRaWAN server, which transmits the data collected by the dynamic weighing instrument, the laser radar and the camera. Among them, the sensor node unit integrates a microcontroller, a LoRa modem and a radio frequency transceiver. The LoRa modem is directly connected to the radio frequency transceiver for LoRa wireless communication. It is connected through SPI (serial peripheral interface). Through the SPI interface, the LoRa modem can control the sending and receiving functions of the radio frequency transceiver and transmit data. In addition, the radio frequency transceiver is connected to the antenna to realize the transmission of wireless signals. The radio frequency transceiver has a radio frequency interface. The antenna needs to be connected to the radio frequency interface. The connection is completed through an RF connector and a coaxial cable to match the interface and frequency requirements of the radio frequency transceiver. The corresponding serial port pins of the microcontroller are connected to the serial port pins of the LoRa modem, including a data line and a ground line. The connection between the microcontroller and the LoRa modem is used to control and configure the LoRa modem, as well as to process the data collected from the sensor. The microcontroller can send control commands and configuration parameters to the LoRa modem and receive data from the LoRa modem.

[0046] like Figure 5As shown, the microcontroller also needs to be connected to the dynamic weighing instrument, laser radar and camera through an adapter. Before the connection, the adapter parameters need to be configured, including the baud rate, data bit, check bit and other settings, in order to receive and process the sensor data. Through the above connection, the data collected by the sensor node is converted into the LoRaWAN protocol format and sent to the LoRa gateway wirelessly. The sensor node converts the collected data into the LoRaWAN protocol format through the LoRa modem and RF transceiver, and sends it to the LoRa gateway wirelessly. Before data transmission, the LoRa gateway is configured to receive the LoRaWAN data sent by the sensor node, including setting the frequency, channel and spreading factor parameters of the gateway. The LoRa gateway receives the LoRaWAN data sent by the sensor node, and receives the data from the LoRa gateway by configuring the server address and port of the LoRaWAN server. The LoRaWAN server receives the data from the LoRa gateway, and parses, stores and forwards it to the computer's processing system for data analysis and processing.

[0047] The above are all preferred embodiments of the present utility model, and are not intended to limit the protection scope of the present utility model. Therefore, any equivalent changes made based on the structure, shape, and principle of the present utility model should be included in the protection scope of the present utility model.

Claims

1. A high-precision multi-dimensional intermodulation data acquisition and analysis system, characterized in that: It includes a data acquisition module and a data transfer module, wherein the data acquisition module is connected to the data transfer module; The data acquisition module includes a dynamic weighing instrument, a laser radar and a camera, and the data transfer module includes a sensor node unit, a communication gateway and a LoRaWAN server. The sensor node unit is connected to the dynamic weighing instrument, the laser radar and the camera respectively. The sensor node unit uploads the received data to the communication gateway. The LoRaWAN server is used to receive the uploaded data in the communication gateway and upload the data to the host computer.

2. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 1, characterized in that: The sensor node unit includes a LoRa modem, a radio frequency transceiver and a microcontroller. The LoRa modem is connected to the radio frequency transceiver through an SPl communication interface, the transmitting end of the radio frequency transceiver is connected to an antenna, and the microcontroller is bidirectionally connected to the LoRa modem through a serial port.

3. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 2, characterized in that: The sensor node units are respectively connected to a dynamic weighing instrument, a laser radar and a camera, wherein the data output end of the dynamic weighing instrument, the data output end of the laser radar and the data output end of the camera are respectively connected to an adapter, and the microcontroller is respectively connected to the dynamic weighing instrument, the laser radar and the camera through the adapter.

4. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 3, characterized in that: The communication gateway adopts a LoRa gateway, which is used to receive data uploaded by the sensor node unit. The LoRa gateway is connected to the LoRaWAN server via Ethernet to forward data.

5. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 4, characterized in that: The radio frequency transceiver is connected to the LoRa gateway for bidirectional communication via wireless radio frequency signals.

6. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 1, characterized in that: The dynamic weighing instrument includes a weighing sensor, an analog-to-digital conversion board, a processor and an interface expansion board. The weighing sensor is connected to the processor via the analog-to-digital conversion board, and the data output end of the processor is connected to the interface expansion board for realizing external information interaction.

7. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 6, characterized in that: The analog-to-digital conversion board includes a plurality of analog-to-digital converters and an SPl interface, and the data output end of the analog-to-digital converter is connected to the processor via the SPl interface.

8. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 7, characterized in that: An ARM processor chip and an SPL communication interface are arranged inside the processor, and the ARM processor chip is connected to the adapter via the SPL communication interface.

9. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 8, characterized in that: The interface expansion board includes a plurality of USB interfaces, and the ARM processor chip is connected to the interface expansion board via a data line.

10. The high-precision multi-dimensional intermodulation data acquisition and analysis system according to claim 1, characterized in that: The laser radar adopts a solid-state multi-line laser radar.

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