Intelligent instrument data transmission method and system based on LoRa technology

Abstract

The invention relates to the technical field of data transmission, in particular to an intelligent instrument data transmission method and system based on the LoRa technology, in the aspect of data transmission, long-distance, low-power-consumption and anti-interference transmission is achieved through a LoRa communication module, in the aspect of data acquisition, a data acquisition module acquires key performance parameters in real time, and the data transmission efficiency is improved. And comprehensive and accurate data support is provided for motorcycle performance evaluation, fault diagnosis and optimization upgrading. In the aspect of energy consumption control, the dual-mode energy-saving module is integrated with a BLE 5.0 + LoRa dual-mode chip, battery data is preferentially recycled through Bluetooth, LoRa alarm is triggered when the battery voltage fluctuation is larger than 10% or the temperature is larger than 60 DEG C, energy consumption is reduced, and it is ensured that alarm is given in time when the battery state is abnormal. And in the aspect of data accuracy, the intelligent calibration module dynamically corrects the acquired data by using an AI compensation algorithm, the error correction precision is less than or equal to 2%, and the data reliability is improved, so that the problem of inconvenience in data transmission of the existing motorcycle intelligent instrument is solved.

Description

Technical Field

[0001] The present invention relates to the field of data transmission technology, and in particular to a smart meter data transmission method and system based on LoRa technology. Background Art

[0002] Smart meters, as devices that can measure various physical and chemical quantities and other parameters, and have data processing and communication capabilities, have been widely used in many fields such as industrial production, energy management, and environmental monitoring. Although existing smart meters have achieved accurate measurement of various parameters to a certain extent, they still have many functional deficiencies. For example, the phenomenon of information islands is serious, and it is difficult to achieve effective information interconnection and sharing between instruments, which is not conducive to the coordinated management and intelligent upgrade of the overall system. In addition, the performance of some instruments still needs to be optimized, and the accuracy and real-time nature of data collection cannot meet the requirements of some application scenarios with high timeliness requirements. In addition, the modification and upgrading of traditional instruments is difficult and requires a high technical threshold, which greatly limits the widespread application and further development of smart meters.

[0003] While motorcycle smart meters have some applications in performance monitoring and data collection, traditional data transmission methods have numerous shortcomings. Existing motorcycle smart meters often rely on wired connections or traditional short-range wireless communication technology. Wired connections present complex wiring, high costs, and challenges with ongoing maintenance and modification. Traditional short-range wireless communication technology, on the other hand, has limited range and weak interference immunity, making data transmission susceptible to interference in complex riding environments. Furthermore, retrofitting traditional meters is difficult, requiring specialized technicians to perform complex circuit modifications. This not only increases modification costs but also limits the widespread adoption of smart meters in the motorcycle industry. Furthermore, existing meters have limited data processing capabilities, preventing them from fully tapping into the value of data and providing users with deeper data analysis and application services. Summary of the Invention

[0004] The purpose of the present invention is to provide a smart meter data transmission method and system based on LoRa technology, aiming to solve the problem of inconvenient data transmission of existing motorcycle smart meters.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a smart meter data transmission system based on LoRa technology, comprising a retrofit adapter module, a data acquisition module, a dual-mode energy-saving module, an intelligent calibration module, a data processing module, a LoRa communication module, and a dynamic adjustment module, wherein the retrofit adapter module, the data acquisition module, the dual-mode energy-saving module, the intelligent calibration module, the data processing module, and the LoRa communication module are connected in sequence, and the dynamic adjustment module is connected to the data acquisition module;

[0006] The modified adapter module provides a magnetic LoRa communication clip that can be directly assembled on the traditional instrument dial or related sensor position of the motorcycle;

[0007] The dynamic adjustment module adaptively adjusts the sampling frequency according to the flow rate / current change rate;

[0008] The data acquisition module is used to collect the maximum power, maximum torque, maximum speed and battery capacity of the motorcycle in real time;

[0009] The dual-mode energy-saving module collects battery voltage and temperature data via Bluetooth and triggers a LoRa alarm when the battery voltage fluctuates;

[0010] The intelligent calibration module dynamically corrects the reading deviation of the collected motorcycle performance data based on historical errors;

[0011] The data processing module is used to process, analyze and store various types of collected data and generate corresponding data reports and charts;

[0012] The LoRa communication module is used to send the processed data to a remote data receiving terminal according to the LoRa communication protocol.

[0013] Wherein, the data acquisition module includes a power sensor unit, a torque sensor unit, a speed sensor unit, a battery capacity sensor unit and a signal conditioning unit;

[0014] The power sensor unit is used to monitor the maximum power output of the motorcycle engine in real time;

[0015] The torque sensor unit is used to monitor the maximum torque output of the motorcycle engine in real time;

[0016] The speed sensor unit is used to monitor the maximum speed of the motorcycle in real time;

[0017] The battery capacity sensor unit is used to monitor the remaining capacity of the motorcycle battery in real time;

[0018] The signal conditioning unit amplifies, filters and linearizes the signals collected by each sensor to improve signal quality and stability.

[0019] The dual-mode energy-saving module includes a Bluetooth communication unit, a LoRa alarm unit and a power management unit;

[0020] The Bluetooth communication unit is used to recover the voltage and temperature data of the motorcycle battery through Bluetooth technology;

[0021] The LoRa alarm unit sends an alarm signal via LoRa communication when the battery voltage fluctuation exceeds a set threshold;

[0022] The power management unit is responsible for managing and distributing the power of the module.

[0023] Wherein, the intelligent calibration module includes a historical data storage unit, an AI compensation algorithm unit and a data correction unit;

[0024] The historical data storage unit stores the collected motorcycle performance data and corresponding error information;

[0025] The AI compensation algorithm unit uses artificial intelligence algorithms to analyze and process data based on stored historical data;

[0026] The data correction unit dynamically corrects the motorcycle performance data collected in real time according to the processing result of the AI compensation algorithm unit.

[0027] Wherein, the data processing module includes a data storage unit, a data analysis unit, a data visualization unit and a report generation unit;

[0028] The data storage unit is used to store various types of collected motorcycle performance data;

[0029] The data analysis unit performs in-depth analysis on the stored data and extracts valuable information;

[0030] The data visualization unit displays the analysis results to the user in the form of intuitive charts;

[0031] The report generation unit generates a detailed data report based on the analysis results, providing users with more comprehensive performance evaluation and usage suggestions.

[0032] The LoRa communication module includes a LoRa transmitting unit, a LoRa receiving unit, an antenna unit and a protocol processing unit.

[0033] The LoRa transmitting unit is used to convert the processed data signal into a wireless signal suitable for LoRa transmission;

[0034] The LoRa receiving unit is used to receive control instructions or other data sent by a remote data receiving terminal;

[0035] The antenna unit is used to transmit and receive LoRa wireless signals;

[0036] The protocol processing unit is responsible for encoding and decoding the data according to the LoRa communication protocol.

[0037] In a second aspect, a smart meter data transmission method based on LoRa technology is used in the smart meter data transmission system based on LoRa technology described in the first aspect, comprising the following steps:

[0038] Use sensors to collect real-time data on the motorcycle's maximum power, maximum torque, maximum speed, and battery capacity;

[0039] The Bluetooth unit of the dual-mode energy-saving module collects battery voltage and temperature data in real time, and the LoRa unit is on standby;

[0040] The intelligent calibration module uses AI compensation algorithms based on historical error data to dynamically correct the deviation in the collected performance data readings;

[0041] The corrected data is transmitted to the data processing module for analysis and storage, and data reports and visual charts are generated;

[0042] The LoRa communication module receives and processes the data and sends it to the remote data receiving terminal according to the protocol, thus realizing long-distance data transmission.

[0043] This invention describes a smart instrument data transmission system based on LoRa technology. The LoRa communication module achieves long-distance, low-power, and interference-resistant transmission, with a communication range of ≥5 km and a data rate of ≥10 kbps, addressing data transmission challenges in complex riding environments. The data acquisition module collects key performance parameters in real time, providing comprehensive and accurate data support for motorcycle performance evaluation, fault diagnosis, and optimization and upgrades. To control energy consumption, the dual-mode energy-saving module integrates a Bluetooth Low Energy (BLE) 5.0 and LoRa dual-mode chip, preferentially collecting battery data via Bluetooth. LoRa alarms are triggered when battery voltage fluctuations exceed 10% or temperatures exceed 60°C, reducing energy consumption and ensuring timely alerts when battery status is abnormal. To ensure data accuracy, the intelligent calibration module dynamically corrects collected data using an AI compensation algorithm, achieving an error correction accuracy of ≤2%, improving data reliability. For ease of retrofitting, the retrofit adapter module provides a magnetic LoRa communication clip with a magnetic attraction force of ≥10N, installation and removal in ≤10 seconds, and ≥95% compatibility, reducing retrofit difficulty and cost. In terms of data processing and application, the data processing module efficiently processes, analyzes, and stores data, generating intuitive data reports and charts, providing users with extreme value performance evaluations and usage recommendations. Regarding data collection flexibility, the dynamic adjustment module adaptively adjusts the sampling frequency based on the flow rate / current change rate, enabling 1-second real-time acquisition in high-speed mode. This ensures data collection quality and efficiency under various operating conditions, with data collection integrity and reliability exceeding 95%. This addresses the inconvenient data transmission issues of existing motorcycle smart instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention is further illustrated by means of the following non-limiting examples.

[0045] Figure 1 This is a schematic diagram of a smart meter data transmission system based on LoRa technology in the present invention.

[0046] Figure 2 This is a schematic diagram of the data acquisition module.

[0047] Figure 3 This is a schematic diagram of the dual-mode energy-saving module.

[0048] Figure 4 This is a schematic diagram of the intelligent calibration module.

[0049] Figure 5 It is a schematic diagram of the data processing module.

[0050] Figure 6 This is a schematic diagram of the LoRa communication module.

[0051] Figure 7 This is a schematic diagram of the dynamic adjustment module.

[0052] Figure 8 This is a flow chart of a smart meter data transmission method based on LoRa technology of the present invention.

[0053] In the figure: 1-modification adaptation module, 2-data acquisition module, 3-dual-mode energy-saving module, 4-intelligent calibration module, 5-data processing module, 6-LoRa communication module, 7-dynamic adjustment module, 21-power sensor unit, 22-torque sensor unit, 23-speed sensor unit, 24-battery capacity sensor unit, 25-signal conditioning unit, 31-Bluetooth communication unit, 32-LoRa alarm unit, 33-power management unit, 41-historical data storage unit, 42-AI compensation algorithm unit, 43-data correction unit, 51-data storage unit, 52-data analysis unit, 53-data visualization unit, 54-report generation unit, 61-LoRa transmitting unit, 62-LoRa receiving unit, 63-antenna unit, 64-protocol processing unit, 71-change rate monitoring unit, 72-frequency adjustment unit. DETAILED DESCRIPTION

[0054] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0055] See also Figures 1 to 7In a first aspect, the present invention provides a smart meter data transmission system based on LoRa technology, comprising a modification adaptation module 1, a data acquisition module 2, a dual-mode energy-saving module 3, an intelligent calibration module 4, a data processing module 5, a LoRa communication module 6, and a dynamic adjustment module 7. The modification adaptation module 1, the data acquisition module 2, the dual-mode energy-saving module 3, the intelligent calibration module 4, the data processing module 5, and the LoRa communication module 6 are connected in sequence, and the dynamic adjustment module 7 is connected to the data acquisition module 2;

[0056] The modified adapter module 1 provides a magnetic LoRa communication clip that can be directly assembled on the traditional instrument dial or related sensor position of the motorcycle;

[0057] The dynamic adjustment module 7 adaptively adjusts the sampling frequency according to the flow rate / current change rate;

[0058] The data acquisition module 2 is used to collect the maximum power, maximum torque, maximum speed and battery capacity of the motorcycle in real time;

[0059] The dual-mode energy-saving module 3 collects battery voltage and temperature data via Bluetooth and triggers a LoRa alarm when the battery voltage fluctuates;

[0060] The intelligent calibration module 4 dynamically corrects the reading deviation of the collected motorcycle performance data according to the historical error;

[0061] The data processing module 5 is used to process, analyze and store the collected data and generate corresponding data reports and charts;

[0062] The LoRa communication module 6 is used to send the processed data to a remote data receiving terminal according to the LoRa communication protocol.

[0063] In this embodiment, in terms of data transmission of the present invention, the LoRa communication module 6 realizes long-distance, low-power, and anti-interference transmission, with a communication distance of ≥5km and a data transmission rate of ≥10kbps, solving the problem of data transmission in complex riding environments. In terms of data acquisition, the data acquisition module 2 collects key performance parameters in real time, providing comprehensive and accurate data support for motorcycle performance evaluation, fault diagnosis, and optimization and upgrading. In terms of energy consumption control, the dual-mode energy-saving module 3 integrates a BLE5.0+LoRa dual-mode chip, and preferentially recovers battery data through Bluetooth. When the battery voltage fluctuates by >10% or the temperature is >60°C, the LoRa alarm is triggered, reducing energy consumption and ensuring timely alarm when the battery status is abnormal. In terms of data accuracy, the intelligent calibration module 4 uses an AI compensation algorithm to dynamically correct the collected data, with an error correction accuracy of ≤2%, thereby improving data reliability. In terms of modification convenience, the modification adapter module 1 provides a magnetic LoRa communication clip with a magnetic attraction force of ≥10N, ensuring that it can be firmly and directly installed on the traditional instrument dial or related sensor position of the motorcycle. The installation and removal operations are convenient and can be completed in ≤10 seconds. The compatibility with traditional motorcycle instruments is ≥95%, achieving non-destructive and convenient modification of traditional instruments, laying the foundation for the physical connection of the entire data acquisition and transmission system. In terms of data processing and application, the data processing module 5 efficiently processes, analyzes and stores data, generates intuitive data reports and charts, and provides users with extreme value performance evaluation and usage recommendations. In terms of data acquisition flexibility, the dynamic adjustment module 7 adaptively adjusts the sampling frequency according to the flow rate / current change rate, and starts 1s real-time acquisition in high-speed mode to ensure data acquisition quality and efficiency under different working conditions. The integrity and reliability of data acquisition are ≥95%, thus solving the problem of inconvenient data transmission of existing motorcycle smart instruments.

[0064] Furthermore, the data acquisition module 2 includes a power sensor unit 21, a torque sensor unit 22, a speed sensor unit 23, a battery capacity sensor unit 24 and a signal conditioning unit 25;

[0065] The power sensor unit 21 is used to monitor the maximum power output of the motorcycle engine in real time;

[0066] The torque sensor unit 22 is used to monitor the maximum torque output of the motorcycle engine in real time;

[0067] The speed sensor unit 23 is used to monitor the maximum speed of the motorcycle in real time;

[0068] The battery capacity sensor unit 24 is used to monitor the remaining capacity of the motorcycle battery in real time;

[0069] The signal conditioning unit 25 amplifies, filters and linearizes the signals collected by each sensor to improve signal quality and stability.

[0070] In this embodiment, the power sensor unit 21 monitors the maximum power output of the motorcycle engine in real time and converts the power signal into an electrical signal through a high-precision sensor element. The torque sensor unit 22 monitors the maximum torque output of the motorcycle engine in real time and accurately captures torque changes using sensing technologies such as strain gauges. The speed sensor unit 23 monitors the maximum speed of the motorcycle in real time and uses optical or magnetic resistance principles to measure the wheel rotation speed and convert it into speed. The battery capacity sensor unit 24 monitors the remaining capacity of the motorcycle battery in real time and estimates the battery capacity using a method of voltage and current detection combined with a battery characteristic model. The signal conditioning unit 25 amplifies, filters and linearizes the signals collected by each sensor to remove noise interference, enhance signal strength, improve signal quality and stability, ensure the accuracy and reliability of the collected data, and provide high-quality raw data for subsequent data processing and analysis.

[0071] Furthermore, the dual-mode energy-saving module 3 includes a Bluetooth communication unit 31, a LoRa alarm unit 32 and a power management unit 33;

[0072] The Bluetooth communication unit 31 is used to recover the voltage and temperature data of the motorcycle battery through Bluetooth technology;

[0073] The LoRa alarm unit 32 sends an alarm signal via LoRa communication when the battery voltage fluctuation exceeds a set threshold;

[0074] The power management unit 33 is responsible for managing and distributing the power of the module.

[0075] In this embodiment, the Bluetooth communication unit 31 utilizes Bluetooth technology to recover the motorcycle battery's voltage and temperature data. It employs a low-power Bluetooth chip and transmits data according to the Bluetooth protocol stack, ensuring stable data recovery. The LoRa alarm unit 32 rapidly transmits an alarm signal via LoRa communication when it detects a battery voltage fluctuation >10% or a temperature >60°C. Leveraging LoRa's long-range and low-power characteristics, it ensures timely and reliable transmission of alarm information to the receiving end. The power management unit 33 utilizes technologies such as DC-DC conversion and power monitoring to precisely manage and distribute the module's power supply, optimizing energy consumption and extending the system's operating time. This ensures the proper power supply of each unit, resulting in energy-efficient and efficient system operation.

[0076] Furthermore, the intelligent calibration module 4 includes a historical data storage unit 41, an AI compensation algorithm unit 42 and a data correction unit 43;

[0077] The historical data storage unit 41 stores the collected motorcycle performance data and corresponding error information;

[0078] The AI compensation algorithm unit 42 uses artificial intelligence algorithms to analyze and process data based on the stored historical data;

[0079] The data correction unit 43 dynamically corrects the motorcycle performance data collected in real time according to the processing result of the AI compensation algorithm unit 42.

[0080] In this embodiment, the historical data storage unit 41 uses a non-volatile storage medium to store motorcycle performance data and corresponding error information collected over at least the past 30 days, ensuring data integrity and security. Based on the stored historical data, the AI compensation algorithm unit 42 uses artificial intelligence algorithms such as machine learning to perform in-depth data analysis and processing, constructing a data error model, mining potential patterns and features in the data, and providing precise algorithmic support for data correction. Based on the processing results of the AI compensation algorithm unit 42, the data correction unit 43 uses real-time data fusion, error compensation, and other technologies to dynamically correct the real-time collected motorcycle performance data. The error correction accuracy is ≤2%, effectively improving data accuracy, reducing the impact of measurement errors on motorcycle performance evaluation, and ensuring that the data output by the system is authentic and reliable.

[0081] Furthermore, the data processing module 5 includes a data storage unit 51, a data analysis unit 52, a data visualization unit 53 and a report generation unit 54;

[0082] The data storage unit 51 is used to store various types of motorcycle performance data collected;

[0083] The data analysis unit 52 performs in-depth analysis on the stored data to extract valuable information;

[0084] The data visualization unit 53 displays the analysis results to the user in the form of intuitive charts;

[0085] The report generating unit 54 generates a detailed data report based on the analysis results, providing users with more comprehensive performance evaluation and usage suggestions.

[0086] In this embodiment, the data storage unit 51 uses a large-capacity storage chip or module to store various types of motorcycle performance data collected, ensuring fast reading and writing and efficient storage of data. The data analysis unit 52 uses a variety of technical means such as statistical analysis, signal processing, and data mining to conduct in-depth analysis of the stored data, extract valuable information (changing trends of performance indicators, identification of abnormal data points, etc.), and provide strong support for subsequent data applications. The data visualization unit 53 displays the analysis results to the user in the form of intuitive charts through chart drawing, graphic rendering and other technologies, making it easier for users to quickly understand and view data, and improving the readability and usability of the data. The report generation unit 54 generates a detailed data report based on the analysis results and in accordance with the preset report template and format requirements. The report content includes motorcycle performance evaluation, fault diagnosis information, usage suggestions, etc., providing users with more comprehensive and in-depth performance evaluation and usage guidance, helping users better understand the operating status and performance of the motorcycle.

[0087] Furthermore, the LoRa communication module 6 includes a LoRa transmitting unit 61, a LoRa receiving unit 62, an antenna unit 63 and a protocol processing unit 64;

[0088] The LoRa transmitting unit 61 is used to convert the processed data signal into a wireless signal suitable for LoRa transmission;

[0089] The LoRa receiving unit 62 is used to receive control instructions or other data sent by a remote data receiving terminal;

[0090] The antenna unit 63 is used to transmit and receive LoRa wireless signals;

[0091] The protocol processing unit 64 is responsible for encoding and decoding the data according to the LoRa communication protocol.

[0092] In this embodiment, the LoRa transmitting unit 61 converts the processed data signal into a wireless signal suitable for LoRa transmission, and uses modulation, demodulation, power amplification and other technologies to ensure stable signal transmission and long-distance transmission. The LoRa receiving unit 62 is responsible for receiving control instructions or other data sent by the remote data receiving terminal, and uses signal detection, demodulation and other technologies to achieve accurate data reception and analysis. The antenna unit 63 uses a high-performance LoRa antenna with good frequency band matching and directional pattern characteristics, which is used to transmit and receive LoRa wireless signals, ensuring stable signal transmission within a communication distance of ≥5km. The data transmission rate is ≥10kbps, meeting the system's requirements for long-distance, low power consumption and anti-interference data transmission. The protocol processing unit 64 strictly performs data encoding and decoding operations in accordance with the LoRa communication protocol stack, achieving correct data packaging and analysis, ensuring the accuracy and reliability of data transmission, and ensuring unimpeded communication between the system and the remote data receiving terminal.

[0093] Furthermore, the dynamic adjustment module 7 includes a change rate monitoring unit 71 and a frequency adjustment unit 72;

[0094] The change rate monitoring unit 71 monitors the flow rate and current change rate of the motorcycle in real time;

[0095] The frequency adjustment unit 72 adaptively adjusts the sampling frequency of the data acquisition module 2 according to the output of the change rate monitoring unit 71 .

[0096] In this embodiment, the rate-of-change monitoring unit 71 monitors the motorcycle's flow rate and current rate of change in real time, capturing relevant data changes in real time through precise sensors. Based on the output of the rate-of-change monitoring unit 71 and following a pre-set algorithm, the frequency adjustment unit 72 adaptively adjusts the sampling frequency of the data acquisition module 2. In high-speed mode (>15 L / s or >200 A), real-time acquisition can be enabled at 1 second levels, ensuring high-quality, high-integrity data with a reliability of ≥95% under all operating conditions, meeting the system's requirements for data acquisition flexibility and accuracy.

[0097] See also Figure 8 In the second aspect, a smart meter data transmission method based on LoRa technology is used in the smart meter data transmission system based on LoRa technology described in the first aspect, comprising the following steps:

[0098] S1: Use sensors to collect real-time data on the motorcycle's maximum power, maximum torque, maximum speed, and battery capacity;

[0099] Specifically, the power sensor unit 21, torque sensor unit 22, speed sensor unit 23, and battery capacity sensor unit 24 in the data acquisition module 2 utilize high-precision sensing elements to monitor the motorcycle engine's maximum power output, maximum torque output, top speed, and remaining battery capacity in real time. These sensors utilize advanced measurement technology and high-precision conversion circuits to convert physical quantities into electrical signals. The signal conditioning unit 25 then amplifies, filters, and linearizes the collected signals to remove noise, enhance signal strength, and improve signal quality. This ensures the collected data is highly accurate and stable, providing a reliable source of raw data for subsequent data processing and analysis.

[0100] S2: The Bluetooth unit of the dual-mode energy-saving module 3 collects battery voltage and temperature data in real time, and the LoRa unit is on standby;

[0101] Specifically, the Bluetooth communication unit 31 of the dual-mode energy-saving module 3 incorporates a built-in low-power Bluetooth chip. It pairs with the motorcycle battery's Bluetooth interface according to the Bluetooth protocol stack, collecting battery voltage and temperature data in real time. During data collection, the Bluetooth communication unit 31 continuously sends query requests, receives the voltage and temperature information returned by the battery, and performs data verification and caching. Simultaneously, the LoRa alarm unit 32 monitors the battery voltage and temperature data in real time. Upon detecting a battery voltage fluctuation greater than 10% or a temperature greater than 60°C, it quickly triggers the LoRa alarm mechanism. The LoRa alarm unit 32 encodes and encapsulates the alarm information, converts it into a wireless signal suitable for LoRa transmission through modulation and demodulation technology, and transmits it via the antenna unit 63 to a remote data receiving terminal. Leveraging the long-distance and low-power characteristics of LoRa technology, the alarm information is ensured to be transmitted promptly and accurately to the receiving end, enabling real-time monitoring and alarming of battery status anomalies, thereby ensuring the motorcycle's electrical safety.

[0102] S3: The intelligent calibration module 4 uses the AI compensation algorithm to dynamically correct the deviation of the collected performance data readings based on historical error data;

[0103] Specifically, the historical data storage unit 41 in the intelligent calibration module 4 stores motorcycle performance data and corresponding error information collected over at least the past 30 days. This data provides a rich training sample for the AI compensation algorithm unit 42. The AI compensation algorithm unit 42 uses machine learning algorithms, such as neural networks and support vector machines, to conduct deep learning and training on historical data, construct a data error model, and explore the potential patterns and features in the data. During the real-time data collection process, the data acquisition module 2 transmits the collected raw performance data to the intelligent calibration module 4. The AI compensation algorithm unit 42 generates corresponding compensation parameters based on a comparative analysis of real-time and historical data, combined with the calculation results of the error model. After receiving the compensation parameters, the data correction unit 43 uses real-time data fusion technology to fuse the compensation parameters with the real-time data and dynamically correct the collected motorcycle performance data, eliminating the influence of systematic and random errors, improving the accuracy and reliability of the data, and ensuring that the output data truly reflects the actual performance status of the motorcycle.

[0104] S4: The corrected data is transmitted to the data processing module 5 for analysis and storage, and data reports and visualization charts are generated;

[0105] Specifically, the data processing module 5 receives the corrected data from the intelligent calibration module 4 and first transfers the data to the data storage unit 51 for storage. The data storage unit 51 categorizes and stores the data in non-volatile storage media according to a preset data storage structure and management strategy, ensuring data integrity and security. Next, the data analysis unit 52 conducts an in-depth analysis of the stored data, using statistical analysis methods to calculate statistical quantities such as the mean, variance, and standard deviation of various performance indicators. Signal processing techniques are used to extract characteristic information and periodic variations in the data, and data mining algorithms are used to identify potential correlations and anomalies in the data. The analysis results are then transmitted to the data visualization unit 53, which displays the analysis results in an intuitive chart format within the user interface, using preset chart types and formats, such as line charts, bar charts, and pie charts, making it easier for users to quickly view and understand the data. Simultaneously, the report generation unit 54 generates a detailed data report based on the analysis results, in accordance with preset report templates and format requirements. The report covers various performance evaluation indicators of the motorcycle, fault diagnosis information, performance change trend analysis, and corresponding usage suggestions and optimization solutions, providing users with a more comprehensive and in-depth performance evaluation and usage guidance, helping users to better understand the operating status and performance of the motorcycle, and providing strong data support for the maintenance, care and performance optimization of the motorcycle.

[0106] S5: The LoRa communication module 6 receives the processed data and sends it to the remote data receiving terminal according to the protocol to achieve long-distance data transmission.

[0107] Specifically, after receiving the processed data from the data processing module 5, the protocol processing unit 64 of the LoRa communication module 6 encodes and encapsulates the data according to the LoRa communication protocol stack. The protocol processing unit 64 adds necessary information, such as a protocol header and checksum, to the data to ensure its integrity and accuracy during transmission. The data is then transmitted to the LoRa transmitter 61, which modulates and demodulates the data signal, converting it into a wireless signal suitable for LoRa transmission. After power amplification, the wireless signal is transmitted via the antenna unit 63. Antenna unit 63 uses a high-performance LoRa antenna to transmit the signal into the air at a specific frequency band and direction, ensuring stable signal transmission over a communication distance of 5 km or more and a data rate of 10 kbps or more, meeting the system's requirements for long-distance, low-power, and anti-interference data transmission. The remote data receiving terminal is equipped with the appropriate LoRa receiving equipment and antenna to receive the transmitted wireless signal. Upon receiving the signal, the LoRa receiver 62 performs signal demodulation and decoding, extracts the original data, and performs data verification and analysis to ensure the integrity and accuracy of the received data. At this point, reliable transmission of smart instrument data based on LoRa technology from the motorcycle end to the remote data receiving terminal has been achieved, providing a basis for subsequent data analysis, processing and application, and meeting users' needs for remote monitoring and management of motorcycle performance data.

[0108] The above disclosure is merely one or more preferred embodiments of the present application and is not intended to limit the scope of the present application. A person skilled in the art will understand that all or part of the processes of the above embodiments and equivalent changes made in accordance with the claims of the present application are still within the scope of the present application.

Claims

1. A smart meter data transmission system based on LoRa technology, characterized in that: It includes a modification adaptation module, a data acquisition module, a dual-mode energy-saving module, an intelligent calibration module, a data processing module, a LoRa communication module and a dynamic adjustment module. The modification adaptation module, the data acquisition module, the dual-mode energy-saving module, the intelligent calibration module, the data processing module and the LoRa communication module are connected in sequence, and the dynamic adjustment module is connected to the data acquisition module; The modified adapter module provides a magnetic LoRa communication clip that can be directly assembled on the traditional instrument dial or related sensor position of the motorcycle; The dynamic adjustment module adaptively adjusts the sampling frequency according to the flow rate / current change rate; The data acquisition module is used to collect the maximum power, maximum torque, maximum speed and battery capacity of the motorcycle in real time; The dual-mode energy-saving module collects battery voltage and temperature data via Bluetooth and triggers a LoRa alarm when the battery voltage fluctuates; The intelligent calibration module dynamically corrects the reading deviation of the collected motorcycle performance data based on historical errors; The data processing module is used to process, analyze and store various types of collected data and generate corresponding data reports and charts; The LoRa communication module is used to send the processed data to a remote data receiving terminal according to the LoRa communication protocol.

2. The smart meter data transmission system based on LoRa technology as claimed in claim 1, characterized in that: The data acquisition module includes a power sensor unit, a torque sensor unit, a speed sensor unit, a battery capacity sensor unit and a signal conditioning unit; The power sensor unit is used to monitor the maximum power output of the motorcycle engine in real time; The torque sensor unit is used to monitor the maximum torque output of the motorcycle engine in real time; The speed sensor unit is used to monitor the maximum speed of the motorcycle in real time; The battery capacity sensor unit is used to monitor the remaining capacity of the motorcycle battery in real time; The signal conditioning unit amplifies, filters and linearizes the signals collected by each sensor to improve signal quality and stability.

3. The smart meter data transmission system based on LoRa technology as claimed in claim 1, characterized in that: The dual-mode energy-saving module includes a Bluetooth communication unit, a LoRa alarm unit and a power management unit; The Bluetooth communication unit is used to recover the voltage and temperature data of the motorcycle battery through Bluetooth technology; The LoRa alarm unit sends an alarm signal via LoRa communication when the battery voltage fluctuation exceeds a set threshold; The power management unit is responsible for managing and distributing the power of the module.

4. The smart meter data transmission system based on LoRa technology as claimed in claim 1, characterized in that: The intelligent calibration module includes a historical data storage unit, an AI compensation algorithm unit and a data correction unit; The historical data storage unit stores the collected motorcycle performance data and corresponding error information; The AI compensation algorithm unit uses artificial intelligence algorithms to analyze and process data based on stored historical data; The data correction unit dynamically corrects the motorcycle performance data collected in real time according to the processing result of the AI compensation algorithm unit.

5. The smart meter data transmission system based on LoRa technology as claimed in claim 1, characterized in that: The data processing module includes a data storage unit, a data analysis unit, a data visualization unit and a report generation unit; The data storage unit is used to store various types of collected motorcycle performance data; The data analysis unit performs in-depth analysis on the stored data and extracts valuable information; The data visualization unit displays the analysis results to the user in the form of intuitive charts; The report generation unit generates a detailed data report based on the analysis results, providing users with more comprehensive performance evaluation and usage suggestions.

6. The smart meter data transmission system based on LoRa technology as claimed in claim 1, characterized in that: The LoRa communication module includes a LoRa transmitting unit, a LoRa receiving unit, an antenna unit and a protocol processing unit; The LoRa transmitting unit is used to convert the processed data signal into a wireless signal suitable for LoRa transmission; The LoRa receiving unit is used to receive control instructions or other data sent by a remote data receiving terminal; The antenna unit is used to transmit and receive LoRa wireless signals; The protocol processing unit is responsible for encoding and decoding the data according to the LoRa communication protocol.

7. A smart meter data transmission method based on LoRa technology, used in the smart meter data transmission system based on LoRa technology according to any one of claims 1 to 6, characterized in that: The following steps are involved: Use sensors to collect real-time data on the motorcycle's maximum power, maximum torque, maximum speed, and battery capacity; The Bluetooth unit of the dual-mode energy-saving module collects battery voltage and temperature data in real time, and the LoRa unit is on standby; The intelligent calibration module uses AI compensation algorithms based on historical error data to dynamically correct the deviation in the collected performance data readings; The corrected data is transmitted to the data processing module for analysis and storage, and data reports and visual charts are generated; The LoRa communication module receives and processes the data and sends it to the remote data receiving terminal according to the protocol, thus realizing long-distance data transmission.

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