A sensor signal detection analysis platform and its application in rotating machinery
By designing a sensor signal detection and analysis platform and using an NI PXI chassis and LabVIEW software, the synchronous acquisition and processing of multi-channel signals in rotating machinery was realized. This solved the problem of comparing different sensor signals and analysis methods, and promoted the research and development of new sensors and the efficient extraction of signal information.
Patent Information
- Application Number
- CN202211663332.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-23
- Publication Date
- 2025-10-24
- Estimated Expiration
- 2042-12-23
AI Technical Summary
Existing technologies make it difficult to simultaneously collect and compare signals from different sensors and different analysis methods on the same rotating machine, which leads to difficulties in the development of new sensors for rotating machinery and the extraction and analysis of useful information from signals.
Design a sensor signal detection and analysis platform, including time-domain and frequency-domain analysis, acquisition and processing modules, data analysis and display modules, and multi-channel data access modules. Use an NI PXI chassis and LabVIEW software to realize synchronous acquisition and processing of multi-channel signals.
It enables the synchronous acquisition of signals from multiple sensors and the comparative analysis of different analysis methods, supporting the research and development of new sensors for rotating machinery and the efficient extraction of signal information, while saving experimental costs.
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Figure CN115824614B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of mechanical detection analysis, in particular to a sensor signal detection analysis platform and application thereof in rotary machinery. BACKGROUND
[0002] The vibration condition of a rotating drum of a rotary machine during operation reflects the overall operation state of the rotary machine to a certain extent, and various faults of the rotary machine can be predicted through data analysis. At present, the operation state of the rotary machine is mainly monitored by analyzing the time domain or frequency domain of the output signals of sensors such as eddy current sensors, coil sensors and Hall sensors, so as to obtain data and trend charts representing the vibration state of the rotating drum.
[0003] In actual use, one or two sensors are generally selected according to the test scale, and the vibration analysis data is obtained by using time domain or frequency analysis methods. Since the installation position and operation process of the rotating drum of the rotary machine are different each time, this method makes it difficult to compare different sensors and different analysis methods, and is not conducive to the development of new sensors for the rotary machine and the extraction and analysis of useful information in the signals. SUMMARY
[0004] The present application aims to solve the technical defects that the existing test platform cannot meet the needs of the development of new sensors for the rotary machine and the extraction and analysis of useful information in the signals, and provides a sensor signal detection analysis platform, which can simultaneously collect, analyze and compare different sensor signals and different analysis methods in the same rotary machine and the same test.
[0005] Another object of the present application is to provide the application of the above-mentioned sensor signal detection analysis platform in the rotary machinery.
[0006] The technical scheme adopted to achieve the object of the present application is as follows:
[0007] A sensor signal detection analysis platform comprises a time domain analysis collection and processing module, a frequency domain analysis collection and processing module and a data analysis and display module.
[0008] The time domain analysis collection and processing module comprises a first collection sub-module and a time domain algorithm processing sub-module connected in communication, and is used for collecting sensor signals and processing the signals by time domain algorithm.
[0009] The frequency domain analysis collection and processing module comprises a second collection sub-module and a frequency domain algorithm processing sub-module connected in communication, and is used for collecting sensor signals and processing the signals by frequency domain algorithm.
[0010] The data analysis display module is in communication connection with the time domain analysis acquisition and processing module and the frequency domain analysis acquisition and processing module to acquire original data and data after analysis and processing; the data analysis display module performs data analysis, visual processing and display on the acquired original data and data after time domain / frequency domain processing.
[0011] In the technical solution, the functions of the data analysis display module include data analysis, multi-channel original data display, signal spectrum display and historical trend chart display.
[0012] In the technical solution, the data analysis modes include 8th order Butterworth filter processing, time domain vibration calculation, frequency domain vibration calculation and spectrum analysis.
[0013] In the technical solution, the parameters displayed in the multi-channel original data display mainly include signal frequency, 1 times frequency, 6 times frequency, time domain algorithm amplitude, frequency algorithm amplitude, direct current component and the like;
[0014] The signal spectrum display is mainly used for analyzing and comparing signals of various channels of sensors, and can intuitively observe energy distribution of various frequency components in the signals.
[0015] The historical trend chart display is mainly used for trend comparison and analysis of key data in the data analysis display module, and can add a to-be-monitored variable according to requirements.
[0016] In the technical solution, the sensor signal detection and analysis platform further comprises a multi-channel data access module.
[0017] The multi-channel data access module is in communication connection with the first acquisition submodule and the second acquisition submodule, and is used for accessing multi-channel original data.
[0018] In the technical solution, the operation flow of the multi-channel data access module comprises:
[0019] S1: starting the multi-channel data access module;
[0020] S2: prompting whether to store data through a pop-up window; if yes, entering S3 to perform a data acquisition and processing flow; if no, entering S7 to perform a data output flow;
[0021] S3: acquiring multi-channel original data from the first acquisition submodule and the second acquisition submodule;
[0022] S4: after filtering the multi-channel original data, performing data processing on the multi-channel original data respectively; after format conversion and bundling, the processed multi-channel data form a waveform file;
[0023] S5: The bundled waveform file is sent into a queue according to a channel number and a time sequence, to prevent data loss;
[0024] S6: After the data is dequeued from the queue, a DATA file is generated according to a set data amount and a time span, and frequency information and time information of the first data are taken as a file name of the file; S11 is entered;
[0025] S7: A waveform file to be output is selected, and a data output flow is entered;
[0026] S8: Data in the waveform file is cyclically extracted;
[0027] S9: The extracted data is subjected to data unbundling and format conversion;
[0028] S10: The unbundled and converted data is sent to a first acquisition submodule or a second acquisition submodule to output a waveform;
[0029] S11: The waveform access module is exited.
[0030] In the technical solution, the time-domain analysis acquisition processing module comprises a NI PXIe 1062Q high-performance chassis and a NI 5762S digitizer adapter module and a NI PXI 7952 FPGA module to form a high-speed AD module.
[0031] In the technical solution, the high-speed AD module provides two 16-bit 250MS / s acquisition channels to realize acquisition of sensor signals and guarantee normal time-domain signal analysis.
[0032] In the technical solution, the frequency-domain analysis acquisition processing module comprises a NI PXIe 1062Q high-performance chassis and a NI PXI 4472 acquisition card and a NI PXI 4461 board card adapted to the NI PXIe 1062Q high-performance chassis.
[0033] In the technical solution, the NI PXI 4472 acquisition card provides eight 24-bit acquisition channels to realize high-precision acquisition of sensor signals.
[0034] The NI PXI 4461 board card has two 24-bit acquisition channels and two 24-bit output channels to realize acquisition of sensor signals and output of waveform signals, respectively.
[0035] In the technical solution, the data analysis display module is programmed by using LabVIEW software on the NI PXIe 1062Q chassis.
[0036] In another aspect of the application, the sensor signal detection and analysis platform is applied to a rotating machine.
[0037] Compared with the prior art, the present application has the following advantages:
[0038] 1. The sensor signal detection and analysis platform provided by the present application comprises a first acquisition sub-module and a second acquisition sub-module which together form a multi-channel signal acquisition module, thereby realizing the synchronous acquisition of signals of various sensor types.
[0039] 2. The sensor signal detection and analysis platform provided by the present application adopts the hardware structure of "NI PXI chassis + PXI acquisition card" to solve the problems of high-speed acquisition of time-domain vibration measurement algorithms and high-precision acquisition of frequency vibration measurement algorithms, and adopts the LabVIEW virtual instrument software platform to realize the subsequent processing, storage and display of acquired data, thereby providing a better man-machine interactive interface, making it possible to realize the synchronous acquisition of multi-channel signals and the synchronous processing of multi-vibration measurement algorithms, and providing data support for the comparative analysis of different sensors and different algorithms.
[0040] 3. The sensor signal detection and analysis platform provided by the present application adopts a waveform access technology based on LabVIEW to synchronously record field data, and can arbitrarily extract data and output signal waveforms according to requirements, thereby facilitating the completion of sensor signal analysis and vibration measurement algorithm testing in the laboratory and saving testing and time costs. BRIEF DESCRIPTION OF DRAWINGS
[0041] Figure 1 Fig. 1 is a schematic diagram of the modules of the sensor signal detection and analysis platform;
[0042] Figure 2 Fig. 2 is a schematic diagram of the time-domain analysis acquisition and processing module;
[0043] Figure 3 Fig. 3 is a schematic diagram of the frequency-domain analysis acquisition and processing module;
[0044] Figure 4 Fig. 4 is a schematic diagram of the data analysis and display module;
[0045] Figure 5 Fig. 5 is a flowchart of the multi-channel data access module;
[0046] In the drawings: 1 - time-domain analysis acquisition and processing module, 2 - frequency-domain analysis acquisition and processing module, 3 - data analysis and display module, 4 - multi-channel data access module, 5 - NI PXIe 1062Q chassis, 6 - NI 5762S digitizer adapter module, 7 - NI PXI 7952 LabVIEW FPGA module, 8 - NI PXI 4472 acquisition card, 9 - NI PXI 4461 board card, 10 - multi-channel raw data display, 11 - signal spectrum display, 12 - historical trend chart display, and 13 - data analysis. DETAILED DESCRIPTION
[0047] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0048] Example 1
[0049] A sensor signal detection and analysis platform, including a time domain analysis acquisition and processing module, a frequency domain analysis acquisition and processing module and a data analysis and display module;
[0050] The time domain analysis acquisition processing module includes a first acquisition submodule and a time domain algorithm processing submodule connected in communication; used for collecting sensor signals and performing time domain algorithm processing;
[0051] The frequency domain analysis acquisition processing module includes a second acquisition submodule and a frequency domain algorithm processing submodule connected in communication; used for collecting sensor signals and performing frequency domain algorithm processing;
[0052] The data analysis and display module is communicatively connected with the time domain analysis acquisition and processing module and the frequency domain analysis acquisition and processing module to obtain original data and analyzed and processed data; the data analysis and display module performs data analysis, visualization and display on the obtained original data and the time domain / frequency domain processed data.
[0053] The data analysis is to analyze and process the target effective information after time domain algorithm processing or frequency domain algorithm processing; the data analysis method includes 8th order Butterworth filtering processing, time domain vibration measurement calculation, frequency vibration measurement calculation and spectrum analysis.
[0054] In the aforementioned sensor signal detection and analysis platform, the first and second acquisition submodules together form a multi-channel signal acquisition module, enabling the simultaneous acquisition of signals from multiple sensor types. The time-domain algorithm processing submodule and the frequency-domain algorithm processing submodule together implement multi-channel synchronous time- and frequency-domain data processing. The data analysis and display module enables the comparative display of multiple data charts.
[0055] Example 2
[0056] This embodiment is based on the embodiment 1 and introduces its multi-channel data access module.
[0057] The sensor signal detection and analysis platform further includes a multi-channel data access module, which is communicatively connected to the first acquisition submodule and the second acquisition submodule respectively, and is used for accessing multi-channel raw data to facilitate subsequent secondary analysis and processing of the raw data.
[0058] The operation process of the multi-channel data access module includes:
[0059] S1: starting the multi-path data access module;
[0060] S2: a pop-up window prompts whether to store data; if the data is stored, S3 is entered to perform a data acquisition and processing procedure; if the data is not stored, S7 is entered to perform a data output procedure;
[0061] S3: obtaining multi-path original data from the first acquisition sub-module and the second acquisition sub-module;
[0062] S4: after filtering the multi-path original data, performing data processing respectively; the processed multi-path data is converted in format and bundled to form a waveform file;
[0063] S5: sending the bundled waveform file into a queue according to a channel number and a time sequence to prevent data loss;
[0064] S6: after the data is dequeued from the queue, generating a DATA file according to a set data amount and a time span, and taking frequency information and time information of the first data as a file name of the file; S11 is entered;
[0065] S7: entering the data output procedure, and first selecting a waveform file to be output;
[0066] S8: cyclically extracting data in the waveform file;
[0067] S9: performing data unbundling and format conversion on the extracted data;
[0068] S10: sending the unbundled and converted data to the first acquisition sub-module or the second acquisition sub-module to output a waveform;
[0069] S11: exiting the waveform access module.
[0070] Example 3
[0071] This example is based on examples 1 and 2, and introduces a hardware system thereof.
[0072] The time domain analysis acquisition and processing module includes a NI PXIe 1062Q high-performance chassis, a NI 5762S digitizer adapter module, and a NI PXI 7952 FPGA module to form a high-speed AD module; the high-speed AD module provides two 16-bit 250MS / s acquisition channels to realize acquisition of sensor signals and guarantee normal performance of time domain signal analysis.
[0073] The frequency domain analysis acquisition processing module comprises a NI PXIe 1062Q high performance chassis and a NI PXI 4472 acquisition card and a NI PXI 4461 board card adapted to the NI PXIe 1062Q high performance chassis. The NI PXI 4472 acquisition card provides 8 24-bit acquisition channels and can complete high-precision acquisition of sensor signals. The NI PXI 4461 board card has 2 24-bit acquisition channels and 2 24-bit output channels and respectively completes acquisition of sensor signals and output of waveform signals.
[0074] The data analysis display module is programmed by using LabVIEW software on the NI PXIe 1062Q chassis. The functions of the data analysis display module include data analysis, multi-channel original data display, signal spectrum display and historical trend chart display. The data analysis mainly includes 8-order Butterworth filter processing, time domain vibration calculation, frequency domain vibration calculation and spectrum analysis. The parameters displayed in the multi-channel original data display mainly include signal frequency, 1-fold frequency, 6-fold frequency, time domain algorithm amplitude, frequency algorithm amplitude and direct current component. The signal spectrum display is mainly used for analyzing and comparing various sensor signals and can directly observe the energy distribution of various frequency components in the signals. The historical trend chart display is mainly used for comparing and analyzing the key data in the data analysis display module and can add a to-be-monitored variable according to requirements.
[0075] The above only describes the preferred embodiments of the present application, and it should be noted that those skilled in the art can make several improvements and refinements without departing from the principles of the present application, and these improvements and refinements should also be considered as the protection scope of the present application.
Claims
1. A sensor signal detection analysis platform, characterized by, It includes time domain analysis acquisition and processing module, frequency domain analysis acquisition and processing module and data analysis and display module; The time domain analysis acquisition processing module includes a first acquisition submodule and a time domain algorithm processing submodule connected in communication; used for collecting sensor signals and performing time domain algorithm processing; The frequency domain analysis acquisition and processing module includes a second acquisition submodule and a frequency domain algorithm processing submodule connected in communication; it is used for collecting sensor signals and performing frequency domain algorithm processing; The data analysis and display module is in communication with the time domain analysis acquisition and processing module and the frequency domain analysis acquisition and processing module to obtain raw data and analyzed and processed data; the data analysis and display module performs data analysis, visualization and display on the acquired raw data and the time domain / frequency domain processed data; The sensor signal detection and analysis platform also includes a multi-channel data access module; The multi-channel data access module is communicatively connected to the first acquisition submodule and the second acquisition submodule respectively, and is used for accessing multi-channel raw data; The operation process of the multi-channel data access module includes: S1: Start the multi-channel data access module; S2: A pop-up window prompts whether to store data; if the data is stored, the process goes to S3 to collect and process the data; if the data is not stored, the process goes to S7 to output the data; S3: Acquire multiple channels of raw data from the first acquisition submodule and the second acquisition submodule; S4: After filtering the multiple channels of raw data, data processing is performed separately; the processed multiple channels of data are converted into a format and bundled to form a waveform file; S5: Send the bundled waveform files into the queue in order of channel number and time to prevent data loss; S6: After the data is dequeued from the queue, a DATA file is generated according to the set data volume and time span, and the frequency information and time information of the first data are used as the file name; then proceed to S11; S7: Enter the data output process, first select the waveform file to be output; S8: Loop to extract data from the waveform file; S9: Unbind and convert the extracted data into different formats; S10: Send the unbound and converted data to the first acquisition submodule or the second acquisition submodule to output waveform; S11: Exit the waveform access module.
2. The sensor signal detection analysis platform of claim 1, wherein, The functions of the data analysis and display module include data analysis, multi-channel original data display, signal spectrum display and historical trend graph display.
3. The sensor signal detection analysis platform of claim 2, wherein, The data analysis method includes 8th-order Butterworth filtering, time-domain vibration measurement calculation, frequency vibration measurement calculation and spectrum analysis.
4. The sensor signal detection analysis platform of claim 3, wherein, The parameters displayed in the multi-channel raw data display mainly include signal frequency, 1-time frequency, 6-time frequency, time domain algorithm amplitude, frequency algorithm amplitude, and DC component; The signal spectrum display is mainly used to analyze and compare the signals of various sensors, and can intuitively observe the energy distribution of various frequency components in the signal; The historical trend graph display is mainly used to compare and analyze the trends of key data in the data analysis and display module, and variables to be monitored can be added as needed.
5. The sensor signal detection analysis platform of claim 1, wherein, The time domain analysis acquisition processing module comprises a NI PXIe 1062Q high performance chassis and a NI 5762S digitizer adapter module and a NI PXI 7952 FPGA module, and forms a high speed AD module.
6. The sensor signal detection analysis platform of claim 5, wherein, The high speed AD module provides two 16-bit 250MS / s acquisition channels, realizes acquisition of sensor signals, and guarantees normal time domain signal analysis.
7. The sensor signal detection analysis platform of claim 6, wherein, The frequency domain analysis acquisition processing module comprises a NI PXIe 1062Q high performance chassis, a NI PXI 4472 acquisition card and a NI PXI 4461 board card which are adapted to the NI PXIe 1062Q high performance chassis.
8. The sensor signal detection analysis platform of claim 7, wherein, The NI PXI 4472 acquisition card provides eight 24-bit acquisition channels, and can complete high precision acquisition of sensor signals. The NI PXI 4461 board card has two 24-bit acquisition channels and two 24-bit output channels, and respectively completes acquisition of sensor signals and output of waveform signals.
9. The sensor signal detection analysis platform of claim 1, wherein, The data analysis display module is programmed by using LabVIEW software on the NI PXIe 1062Q chassis.
10. Application of the sensor signal detection and analysis platform according to any one of claims 1-9 in a rotating machine.
Citation Information
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