Bridge online monitoring system giving consideration to broadband and narrowband data

Abstract

The invention provides a bridge online monitoring system giving consideration to broadband and narrowband data, and the system is characterized in that the system comprises an online monitoring end and a cloud service platform, the online monitoring end comprises a data collection part which is used for collecting corresponding physical quantity data of a bridge and a site, and the physical quantity data comprises narrowband data and broadband data; the edge calculation part is used for carrying out narrowband data conversion or broadband data conversion on the physical quantity data and carrying out analysis and calculation according to the physical quantity data before and after conversion to obtain an analysis result; the data storage part is used for storing physical quantity data and analysis results before and after conversion; the data communication part is used for carrying out data interaction with a cloud service platform; and an MCU micro-control part. In a word, the method can give consideration to broadband and narrowband data to carry out on-line monitoring on the bridge.

Description

Technical Field

[0001] The invention relates to an online monitoring system, in particular to an online bridge monitoring system taking into account both broadband and narrowband data. Background Art

[0002] During the construction or operation of a bridge, it is necessary to keep an eye on the status of the bridge at all times. Therefore, real-time data collection and analysis of the bridge is necessary.

[0003] The patent document with application number 202111413016.1 discloses a bridge meteorological monitoring system, method, equipment and storage medium based on narrowband communication, which can be used to collect and analyze some meteorological parameters at the bridge site. However, this solution does not take into account that some of the collected data is saved in the form of broadband data. In addition, in data analysis and transmission, it is also necessary to deal with different analysis conditions and transmission conditions, and the form of the data needs to be adjusted accordingly, that is, converted into broadband data or narrowband data. The technical solution disclosed in the above patent document is obviously unable to solve the above problems.

[0004] Therefore, there is an urgent need for an online bridge monitoring system that can take into account both broadband and narrowband data, and then integrate and analyze various data. Summary of the invention

[0005] The present invention is made to solve the above-mentioned problem, and aims to provide an online bridge monitoring system taking into account both broadband and narrowband data.

[0006] The present invention provides an online monitoring system for a bridge that takes into account both broadband and narrowband data, and has the following characteristics, including: at least one online monitoring terminal, which is arranged at the site where the bridge is located; and a cloud service platform, wherein the online monitoring terminal includes: a data acquisition unit, which is used to collect physical quantity data corresponding to the bridge and the site, and the physical quantity data includes narrowband data and broadband data; an edge computing unit, which performs narrowband data conversion or broadband data conversion on the physical quantity data, and performs analysis and calculation based on the physical quantity data before and after the conversion to obtain analysis results; a data storage unit, which is used to store the physical quantity data before and after the conversion and the analysis results; a data communication unit, which is used to exchange data with the cloud service platform; an MCU microcontroller unit, which is used to control the data acquisition unit, the edge computing unit, the data storage unit and the data communication unit to realize the collection and analysis of the physical quantity data, and the cloud service platform calculates the performance evaluation results of the bridge based on the received physical quantity data and the analysis results.

[0007] The bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention may also have the following features: the physical quantity data includes analog quantity data and digital quantity data, and the data acquisition unit includes: an analog quantity acquisition module for collecting analog quantity data; a digital quantity acquisition module for collecting digital quantity data; a built-in sensor module, including specific sensors for collecting specific physical quantity data, the analog quantity data includes vibration acceleration, vibration velocity, vibration displacement, inclination, strain, load, wind speed, wind direction, noise, deformation, temperature and humidity, and the digital quantity data includes wind speed, wind direction, temperature and humidity.

[0008] The bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention may also have the following characteristics: wherein the analog quantity acquisition module acquires broadband data through AD analog-to-digital conversion, and the digital quantity data acquired by the digital quantity acquisition module is narrowband data.

[0009] The bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention may also have the following features: wherein the analog quantity acquisition module, the digital quantity acquisition module and the built-in sensor module all perform regular sleep and acquisition through preset sleep time and acquisition time, and sample to obtain narrowband data.

[0010] In the bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention, it can also have the following characteristics: wherein, the edge computing unit performs secondary data analysis on the broadband data collected by the analog acquisition module and the built-in sensor module to generate corresponding narrowband data, and the secondary data analysis is to perform time domain or frequency domain index calculation on the broadband data within a preset time period, and the calculation method of the time domain or frequency domain index calculation includes maximum value calculation, minimum value calculation, average value calculation, average amplitude calculation, effective value calculation, square root amplitude calculation, skewness index calculation, kurtosis index calculation, skewness factor calculation, peak factor calculation, waveform factor calculation, pulse factor calculation, peak factor calculation, margin factor calculation, spectrum calculation, octave calculation and 1 / 3 octave calculation.

[0011] In the bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention, it can also have the following characteristics: wherein, the edge computing unit converts the high sampling rate signal in the physical quantity data into a low sampling rate signal through conversion calculation, the conversion calculation includes effective value calculation, peak-to-peak value calculation and average value calculation, and the analysis result includes the result obtained through FFT analysis calculation.

[0012] In the bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention, it can also have the following characteristics: wherein, the communication mode between the data communication unit and the cloud service platform includes broadband communication and narrowband communication. When the communication mode is narrowband communication, the MCU microcontroller unit controls the edge computing unit to convert the broadband data to be sent into narrowband data through resampling, and controls the data communication unit to send the narrowband data to the cloud service platform. The resampling includes low-pass filtering and point sampling.

[0013] The bridge online monitoring system taking into account both broadband and narrowband data provided by the present invention may also have the following feature: wherein the edge computing unit performs broadband data conversion by data interpolation.

[0014] The bridge online monitoring system that takes into account both broadband and narrowband data provided by the present invention may also have the following features: wherein the cloud service platform sends control instructions to the online monitoring terminal to adjust the settings corresponding to the collection of physical quantity data and the settings corresponding to the analysis and calculation. The settings corresponding to the collection of physical quantity data include sampling rate, channel start and stop, channel setting, gain, equipment start and stop, and separate switches for analog and digital channels. The settings corresponding to the analysis and calculation include algorithm program, algorithm parameters, and calculation start and stop.

[0015] Functions and Effects of the Invention

[0016] According to the bridge online monitoring system that takes into account both broadband and narrowband data involved in the present invention, because the edge computing unit performs necessary narrowband data conversion or broadband data conversion on the collected physical quantity data, thereby performing analysis and calculation to obtain the analysis result, in addition, during data transmission, the online monitoring end performs necessary narrowband data conversion or broadband data conversion on the data to be transmitted through the edge computing unit, thereby adapting to the data transmission conditions on site and realizing communication connection with the cloud service platform. Therefore, the bridge online monitoring system that takes into account both broadband and narrowband data of the present invention can perform online monitoring of bridges by taking into account both broadband and narrowband data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a block diagram of a bridge online monitoring system taking into account both broadband and narrowband data in an embodiment of the present invention;

[0018] Figure 2 is a block diagram of an online monitoring terminal in an embodiment of the present invention;

[0019] Figure 3 It is a flow chart of online monitoring of a bridge in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the following embodiments and accompanying drawings specifically illustrate the bridge online monitoring system that takes into account both broadband and narrowband data of the present invention.

[0021] Figure 1 4 is a block diagram of a bridge online monitoring system that takes into account both broadband and narrowband data in an embodiment of the present invention.

[0022] like Figure 1 As shown, the bridge online monitoring system 100 taking into account both broadband and narrowband data includes at least one online monitoring terminal 10 and a cloud service platform 20. The online monitoring terminal 10 is arranged at the site where the bridge is located and is in communication connection with the cloud service platform 20. In this embodiment, different online monitoring terminals 10 are used to monitor different bridges, and the cloud service platform 20 is used to uniformly manage and monitor each monitored bridge.

[0023] Figure 2 It is a block diagram of an online monitoring terminal in an embodiment of the present invention.

[0024] like Figure 2 As shown, the online monitoring terminal 10 includes a data acquisition unit 101, an edge computing unit 102, a data storage unit 103, a data communication unit 104, a power supply unit 105 and an MCU microcontroller unit 106.

[0025] The data collection unit 101 is used to collect physical quantity data corresponding to the bridge and the site.

[0026] Among them, the data in the physical quantity data can be divided into analog quantity data and digital quantity data, and can also be divided into broadband data and narrowband data. Analog quantity data includes vibration acceleration, vibration velocity, vibration displacement, inclination angle, strain, load, wind speed, wind direction, noise, deformation, temperature and humidity, etc. Digital quantity data includes wind speed, wind direction, temperature and humidity, etc. That is, some of the physical quantity data collected in this embodiment include both analog quantity form and digital quantity form.

[0027] The data acquisition unit 101 includes an analog quantity acquisition module 1011 , a digital quantity acquisition module 1012 and a built-in sensor module 1013 .

[0028] The analog quantity acquisition module 1011 includes an AD analog-to-digital converter, an operational amplifier circuit, a signal conditioning circuit and other necessary circuits for collecting analog quantity data. The analog quantity acquisition module 1011 acquires broadband data by AD analog-to-digital conversion. In this embodiment, the signal conditioning circuit includes functions such as DC power supply, IEPE conditioning, strain conditioning, and current conditioning.

[0029] The digital quantity acquisition module 1012 includes multiple sensors for collecting digital quantity data. The digital quantity data collected by the digital quantity acquisition module 1012 is narrowband data. In this embodiment, the protocols of the sensors include 485 protocol, 232 protocol, 422 protocol, Modbus protocol, etc.

[0030] The built-in sensor module 1013 includes a specific sensor for collecting specific physical quantity data. In this embodiment, the specific sensor is embedded in the circuit board of the data acquisition unit 101, rigidly connected to the circuit board or its shell, and communicates with the MCU microcontroller 106 through a dedicated interface.

[0031] The analog quantity acquisition module 1011, the digital quantity acquisition module 1012 and the built-in sensor module 1013 can all perform regular sleep and acquisition by preset sleep time and acquisition time, thereby sampling and obtaining narrowband data. In this embodiment, by preset sleep time and sampling time, the data acquisition unit 101 can achieve low power consumption operation.

[0032] The edge computing unit 102 performs narrowband data conversion or broadband data conversion on the physical quantity data, and performs analysis and calculation based on the physical quantity data before and after the conversion to obtain an analysis result.

[0033] Among them, the edge computing unit 102 performs secondary data analysis on the broadband data collected by the analog acquisition module 1011 and the built-in sensor module 1013 to generate corresponding narrowband data. The secondary data analysis is to perform time domain or frequency domain index calculation on the broadband data within the preset time period. The calculation method of the time domain or frequency domain index calculation includes maximum value calculation, minimum value calculation, average value calculation, average amplitude calculation, effective value calculation, square root amplitude calculation, skewness index calculation, kurtosis index calculation, skewness factor calculation, peak factor calculation, waveform factor calculation, pulse factor calculation, peak factor calculation, margin factor calculation, spectrum calculation, octave calculation and 1 / 3 octave calculation. In this embodiment, the preset time period is a time period set in seconds, minutes, hours, days, months, etc. as time units as needed.

[0034] Among them, the edge computing unit 102 converts the high sampling rate signal in the physical quantity data into a low sampling rate signal through conversion calculation. The conversion calculation includes effective value calculation, peak-to-peak value calculation and average value calculation. The analysis result includes the result obtained by FFT analysis calculation. In addition, the edge computing unit 102 performs broadband data conversion through data interpolation, that is, performs data interpolation on narrowband data and converts it into corresponding broadband data.

[0035] The data storage unit 103 is used to store physical quantity data before and after conversion and analysis results. In this embodiment, the data storage unit 103 includes a built-in SD card for storing data.

[0036] In this embodiment, when the available storage resources of the data storage unit 103 are lower than the preset value, the MCU microcontroller unit 106 controls the edge computing unit 102 to perform necessary broadband data conversion or narrowband data conversion on the data to be sent to the cloud service platform 20 and then send it, and only stores the original data in the data storage unit 103, and does not save the converted data. In addition, the data storage unit 103 further deletes the converted data that has been sent and stored. After the data storage unit 103 is unable to further store the original data, the online monitoring terminal 10 sends a reminder to the cloud service platform 20, and the cloud service platform 20 dispatches staff to disassemble and replace the detachable data storage device storing the original data in the data storage unit 103, thereby saving the necessary original data.

[0037] The data communication unit 104 is used to perform data interaction with the cloud service platform 20 .

[0038] Among them, the communication mode between the data communication unit 104 and the cloud service platform 20 includes broadband communication and narrowband communication. When the communication mode is narrowband communication, the MCU microcontroller 106 controls the edge computing unit 102 to convert the broadband data to be sent into narrowband data through resampling, and controls the data communication unit 104 to send the narrowband data to the cloud service platform 20. Resampling includes low-pass filtering and point sampling. In this embodiment, the communication mode includes 5G, 4G, WIFI, Bluetooth, Lora, NB-IOT, CAN bus, Modbus bus, 485 mode and TCP / IP wired network, etc.

[0039] The power supply unit 105 is used to supply power to various parts of the online monitoring terminal 10. In this embodiment, it is a rechargeable battery. In other embodiments, it can be set as a solar cell system or other power supply system with a long working time as needed.

[0040] The MCU microcontroller unit 106 is used to control the data acquisition unit 101, the edge computing unit 102, the data storage unit 103, the data communication unit 104 and the power supply unit 105 to realize the collection and analysis of physical quantity data.

[0041] The cloud service platform 20 calculates the performance evaluation result of the bridge based on the received physical quantity data and analysis results.

[0042] The cloud service platform 20 also sends control instructions to the online monitoring terminal 10 to adjust the settings corresponding to the physical quantity data collection and the analysis and calculation. The settings corresponding to the physical quantity data collection include sampling rate, channel start and stop, channel setting, gain, device start and stop, and separate switches for analog and digital channels. The settings corresponding to the analysis and calculation include algorithm program, algorithm parameters, and calculation start and stop.

[0043] The following describes the process of performing online monitoring of a bridge using the online bridge monitoring system 100 that takes both broadband and narrowband data into consideration in conjunction with the accompanying drawings.

[0044] Figure 3 It is a flow chart of online monitoring of a bridge in an embodiment of the present invention.

[0045] like Figure 3 As shown, the process of bridge online monitoring includes the following steps:

[0046] Step S1, the cloud service platform 20 sends a control instruction to the online monitoring terminal 10 to adjust the settings corresponding to the collection of physical quantity data and the settings corresponding to the analysis and calculation.

[0047] Step S2, the data collection unit 101 collects physical quantity data corresponding to the bridge and the site.

[0048] In step S3, the edge computing unit 102 performs analysis calculation based on the physical quantity data to obtain analysis results, and performs necessary narrowband data conversion or broadband data conversion on the analysis results and the physical quantity data in the analysis calculation.

[0049] In step S4 , the data communication unit 104 sends the physical quantity data and the analysis results to the cloud service platform 20 .

[0050] In step S5, the cloud service platform 20 calculates the performance evaluation result of the bridge according to the received physical quantity data and analysis results.

[0051] Functions and Effects of the Embodiments

[0052] According to the bridge online monitoring system that takes into account both broadband and narrowband data involved in this embodiment, the edge computing unit performs necessary narrowband data conversion or broadband data conversion on the collected physical quantity data, thereby performing analysis and calculation to obtain analysis results. In addition, during data transmission, the online monitoring end performs necessary narrowband data conversion or broadband data conversion on the data to be transmitted through the edge computing unit, thereby adapting to the data transmission conditions on site and realizing communication connection with the cloud service platform. In short, this method can take into account broadband and narrowband data for online monitoring of bridges.

[0053] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An online bridge monitoring system that takes into account both broadband and narrowband data, characterized in that: include: At least one online monitoring terminal is set up at the site where the bridge is located; as well as Cloud service platform, Wherein, the online monitoring terminal includes: A data collection unit, used for collecting physical quantity data corresponding to the bridge and the site, the physical quantity data including narrowband data and broadband data; An edge computing unit performs narrowband data conversion or broadband data conversion on the physical quantity data, and performs analysis and calculation based on the physical quantity data before and after the conversion to obtain an analysis result; A data storage unit, used for storing the physical quantity data before and after conversion and the analysis result; A data communication unit, used for data interaction with the cloud service platform; The MCU microcontroller is used to control the data acquisition unit, the edge computing unit, the data storage unit and the data communication unit to realize the collection and analysis of the physical quantity data. The cloud service platform calculates the performance evaluation result of the bridge according to the received physical quantity data and the analysis result.

2. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 1, Features: in, The physical quantity data includes analog quantity data and digital quantity data. The data collection unit comprises: An analog quantity acquisition module, used for acquiring the analog quantity data; A digital quantity acquisition module, used for acquiring the digital quantity data; The built-in sensor module includes a specific sensor for collecting specific physical quantity data. The analog data include vibration acceleration, vibration velocity, vibration displacement, inclination, strain, load, wind speed, wind direction, noise, deformation, temperature and humidity. The digital quantity data includes wind speed, wind direction, temperature and humidity.

3. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 2 is characterized by: in, The analog quantity acquisition module acquires the broadband data through AD analog-to-digital conversion. The digital quantity data collected by the digital quantity collection module is the narrowband data.

4. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 2 is characterized by: in, The analog quantity acquisition module, the digital quantity acquisition module and the built-in sensor module all perform regular sleep and acquisition according to preset sleep time and acquisition time, and sample to obtain the narrowband data.

5. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 2 is characterized by: in, The edge computing unit performs secondary data analysis on the broadband data collected by the analog quantity acquisition module and the built-in sensor module to generate the corresponding narrowband data. The data secondary analysis is to calculate the time domain or frequency domain index of the broadband data within a preset time period. The calculation method of the time domain or frequency domain index calculation includes maximum value calculation, minimum value calculation, average value calculation, average amplitude calculation, effective value calculation, square root amplitude calculation, skewness index calculation, kurtosis index calculation, skewness factor calculation, peak factor calculation, waveform factor calculation, pulse factor calculation, peak factor calculation, margin factor calculation, spectrum calculation, octave calculation and 1 / 3 octave calculation.

6. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 1 is characterized by: in, The edge computing unit converts a high sampling rate signal in the physical quantity data into a low sampling rate signal through conversion calculation. The conversion calculation includes effective value calculation, peak-to-peak value calculation and average value calculation. The analysis results include results obtained through FFT analysis calculation.

7. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 1 is characterized by: in, The communication mode between the data communication unit and the cloud service platform includes broadband communication and narrowband communication. When the communication mode is the narrowband communication, the MCU microcontroller controls the edge computing unit to convert the broadband data to be sent into narrowband data by resampling, and controls the data communication unit to send the narrowband data to the cloud service platform. The resampling includes low-pass filtering and point sampling.

8. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 1 is characterized by: in, The edge computing unit performs the broadband data conversion by data interpolation.

9. The bridge online monitoring system taking into account both broadband and narrowband data according to claim 1 is characterized by: in, The cloud service platform sends a control instruction to the online monitoring terminal to adjust the settings corresponding to the collection of the physical quantity data and the settings corresponding to the analysis and calculation, The settings corresponding to the acquisition of the physical quantity data include sampling rate, channel start and stop, channel setting, gain, device start and stop, and separate switches for analog and digital channels. The settings corresponding to the analysis and calculation include algorithm program, algorithm parameters and calculation start and stop.

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