CN112859698A - Data acquisition equipment - Google Patents

Data acquisition equipment Download PDF

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Publication number
CN112859698A
CN112859698A CN202110085932.0A CN202110085932A CN112859698A CN 112859698 A CN112859698 A CN 112859698A CN 202110085932 A CN202110085932 A CN 202110085932A CN 112859698 A CN112859698 A CN 112859698A
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China
Prior art keywords
data
module
power supply
feature extraction
supply module
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CN202110085932.0A
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Chinese (zh)
Inventor
刘永焜
李宝安
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Beijing Northern Sky Long Hawk Uav Technology Co ltd
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Beijing Northern Sky Long Hawk Uav Technology Co ltd
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Priority to CN202110085932.0A priority Critical patent/CN112859698A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M1/00Analogue/digital conversion; Digital/analogue conversion
    • H03M1/12Analogue/digital converters
    • H03M1/124Sampling or signal conditioning arrangements specially adapted for A/D converters
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24215Scada supervisory control and data acquisition

Abstract

An embodiment of the present invention provides a data acquisition device, where a main board includes: the device comprises a broadband low noise amplifier, an A/D sampling module, a CPU (central processing unit), a command input module, a preprocessing module and a data output module; the broadband low-noise amplifier collects original signals and outputs analog voltage signals; the A/D sampling module converts the analog voltage signal into a digital signal; the CPU processor outputs data to be processed; the command input module receives a data processing command input by a user; the preprocessing module comprises one or more feature extraction units, and the result data is obtained by processing the data to be processed by starting the feature extraction units; and the data output module outputs result data. According to the invention, by designing the plurality of feature extraction units, a user can freely select and match various processing operations of data, the complex processing of the data is realized, and the requirement of the industrial field on the complex processing of the data is met.

Description

Data acquisition equipment
Technical Field
The embodiment of the invention relates to the technical field of data acquisition, in particular to data acquisition equipment.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
Data Acquisition is a process of converting dynamically changing physical quantities (such as temperature, pressure, vibration, etc.) into analog electrical signals through sensors, and Data Acquisition Equipment (DAE) is Equipment for converting the analog electrical signals into digital signals, storing the digital signals and preprocessing the digital signals.
With the development of artificial intelligence fields such as automatic driving, machine vision, voice recognition and the like, the requirements of the industrial field on data acquisition capacity and processing capacity are higher and higher, and the traditional data acquisition equipment can not meet the requirements of technical progress more and more.
Disclosure of Invention
Because the industrial field has higher and higher requirements for data acquisition and processing, and the conventional data acquisition equipment has the defects that the data cannot be subjected to complex preprocessing, or has a complex preprocessing function but is high in price, or is inconvenient to carry and the like, and the requirement for the development of a new technology cannot be met, the industrial field needs a data acquisition equipment which can reliably acquire high-speed data and perform complex processing on signals.
In view of the above, the present invention provides a data acquisition device that overcomes, or at least partially solves, the above mentioned problems.
In a first aspect of embodiments of the present invention, there is provided a data acquisition apparatus comprising: a power supply module and a main board;
the power supply module is used for supplying electric energy to the mainboard;
the mainboard includes: the device comprises a broadband low noise amplifier, an A/D sampling module, a CPU (central processing unit), a command input module, a preprocessing module and a data output module;
the broadband low-noise amplifier is used for acquiring an original signal, amplifying the original signal, reducing noise and outputting an analog voltage signal;
the A/D sampling module is used for converting the analog voltage signal output by the broadband low-noise amplifier into a digital signal;
the CPU is used for performing floating point FPU calculation on the digital signal output by the A/D sampling module and outputting data to be processed;
the command input module is used for receiving a data processing command input by a user, and the data processing command is used for indicating a data processing operation desired by the user;
the CPU processor is also used for generating a data processing logic instruction containing data processing logic according to a data processing command input by a user;
the preprocessing module comprises one or more feature extraction units; the preprocessing module determines a data processing logic according to the data processing logic instruction, and starts one or more feature extraction units to process the data to be processed based on the data processing logic to obtain result data; the data processing logic comprises a feature extraction unit which needs to be started and a parallel computing relation and/or a serial computing relation of the feature extraction unit;
the data output module is used for outputting the result data;
wherein the preprocessing module comprises one or more of the following feature extraction units:
the fast Fourier transform unit is used for carrying out spectrum analysis on the data to be processed;
the Kalman filtering unit is used for performing one or more operations of waveform analysis, signal prediction and optimal estimation on data to be processed;
the wavelet transformation unit is used for performing one or two operations of energy spectrum analysis and time frequency analysis on the data to be processed;
and the convolution transformation unit is used for performing one or two operations of convolution transformation and feature extraction on the data to be processed.
Optionally, the motherboard further includes a solid-state memory, configured to store data to be processed output by the CPU processor as original unprocessed data; the data output module is also used for outputting the raw unprocessed data stored by the solid-state memory.
Optionally, the data output module includes one or more data transmission interfaces, configured to transmit the result data and/or the raw unprocessed data to an external device; the data transmission interface comprises one or more of a CAN bus interface, an Ethernet data line interface and a serial port.
Optionally, the data output module further includes a data compression unit, configured to compress result data and/or raw unprocessed data transmitted by the data transmission interface to an external device.
Optionally, the data output module further includes a sleep logic operation unit, configured to start the data compression unit to compress result data and/or raw unprocessed data transmitted by the data transmission interface to the external device when it is calculated that a data amount of data transmitted by the data transmission interface to the external device is greater than a preset value, and close the data compression unit when it is calculated that the data amount of data transmitted by the data transmission interface to the external device is less than or equal to the preset value.
Optionally, the command input module is further configured to receive a parameter setting command input by a user, where the parameter setting command is used to indicate a parameter type and a value of the parameter type that the user desires to set for the feature extraction unit; then, the CPU processor is further configured to generate a parameter setting instruction according to the parameter setting command; the preprocessing module is also used for setting parameters of the feature extraction unit according to the parameter setting instruction.
Optionally, the power supply module includes: the device comprises a switching power supply module, a linear precision voltage-stabilized power supply module and a battery;
the switching power supply module is connected with alternating current or direct current to output electric energy;
the linear precision voltage-stabilized power supply module is used for receiving the electric energy provided by the switching power supply module and outputting a voltage signal to the broadband low-noise amplifier;
the battery is used for receiving and storing the electric energy provided by the switching power supply module, and the battery is a detachable battery.
Optionally, the power supply module further includes: the protection module is used for detecting whether at least one of overvoltage, undervoltage and overcurrent occurs in the electric energy provided for the linear precision voltage-stabilized power supply module by the switching power supply module, and if so, the protection module starts a protection mechanism to ensure that the electric energy reaching the linear precision voltage-stabilized power supply module is in a safety range.
Optionally, the data acquisition device further includes: a housing; the housing includes: an input device and a display screen;
the input device is used for receiving a data processing command input by a user and forwarding the data processing command to the command input module;
and the display screen is used for displaying the result data output by the preprocessing module in a digital and/or graphic mode.
By means of the technical scheme, the preprocessing module with the plurality of feature extraction units is innovatively designed, so that a user can freely select and match various processing operations of data by simply adding, removing or configuring parameters for the feature extraction units, complex processing of the data is realized, such as fast Fourier transform, Kalman filtering, wavelet transform, convolution transform and the like, and the requirement of the industrial field for complex processing of the data can be met.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
FIG. 1 schematically illustrates a structural framework diagram of a data acquisition device according to one embodiment of the present invention;
FIG. 2 schematically illustrates a structural frame diagram of a motherboard according to one embodiment of the invention;
FIG. 3 schematically illustrates a structural frame diagram of a power module according to one embodiment of the invention;
FIG. 4 schematically illustrates an outline and structural frame diagram of a data acquisition device according to an embodiment of the present invention;
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Moreover, any number of elements in the drawings are by way of example and not by way of limitation, and any nomenclature is used solely for differentiation and not by way of limitation.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
With the development of the artificial intelligence fields such as automatic driving, machine vision, voice recognition and the like, the requirements of the industrial field on data acquisition and processing are higher and higher, however, the traditional data acquisition equipment has the defects that complex preprocessing cannot be carried out on data, or the traditional data acquisition equipment has a complex preprocessing function and is high in price or inconvenient to carry, and the like, and the requirements of new technology development cannot be met.
For example, an oscilloscope is a conventional data acquisition device, which can be used to observe the waveform of an alternating current or a pulse current wave, measure the pulse frequency, the voltage intensity, and the like, and is composed of a tube amplifier, a scanning oscillator, a cathode ray tube, and the like. The common oscilloscopes on the market at present generally cannot perform complex calculation such as feature extraction, signal filtering and the like, but the oscilloscopes with strong performance are high in price, inconvenient to carry and narrow in application range.
There is a need in the industry for a data acquisition device that can reliably acquire high-speed data and perform complex processing on signals. In order to at least partially solve the above problems, the present invention proposes a data acquisition apparatus.
The data acquisition apparatus as shown in fig. 1, comprising: a power supply module 1 and a motherboard 2. The power supply module 1 is used for supplying electric energy to the mainboard 2.
As shown in fig. 2, the main board 2 includes: a broadband low noise amplifier 21, an a/D sampling module 22, a CPU processor 23, a command input module 24, a pre-processing module 25 and a data output module 26.
The broadband low-noise amplifier 21 is configured to collect an original signal required by a user, amplify the original signal, reduce noise, output an analog voltage signal with a higher signal-to-noise ratio, and adjust a gain of the analog voltage signal as needed.
The a/D sampling module 22 is connected to the wideband low noise amplifier 21, and is configured to convert the analog voltage signal output by the wideband low noise amplifier 21 into an equivalent digital signal that can be recognized by a computer, and send the equivalent digital signal to the CPU 23 for processing. The a/D sampling module 22 has the advantages of low noise, large bandwidth, high speed processing, etc.
The CPU processor 23 is an ARM high-performance processor, has a floating Point unit (fpu) floating Point calculation function, and is configured to perform an operation on the digital signal output by the a/D sampling module 22 and output data to be processed. The processor has the advantages of small volume, large memory, strong communication processing capability and the like.
The command input module 24 is used for receiving data processing commands input by a user, and the commands are used for indicating which preprocessing is desired by the user to be performed on the data.
The CPU processor 23 is also operative to generate data processing logic instructions comprising data processing logic in accordance with data processing commands input by a user.
The preprocessing module 25 is connected to the CPU 23 and includes one or more feature extraction units 251 for performing predetermined processing on data to be processed.
In some embodiments, the feature extraction unit 251 may be a fast fourier transform unit, a kalman filter unit, a wavelet transform unit, a convolution transform unit. Wherein the content of the first and second substances,
the fast Fourier transform unit is used for performing spectrum analysis on the data to be processed, for example, converting a signal corresponding to the data to be processed from a time domain to a frequency domain, and extracting the frequency, amplitude and phase of each semaphore;
the Kalman filtering unit is used for carrying out operations such as waveform analysis, signal prediction, optimal estimation and the like on data to be processed, for example, because acquired original signals contain noise, processing results and observed values are inaccurate, the Kalman filtering unit can complete optimal estimation on real values of the original signals, and the function can be used for automobile positioning application;
the wavelet transformation unit is used for performing signal analysis (such as energy spectrum analysis and time-frequency analysis) on data to be processed, for example, in machine vision application, an image can be decomposed into components with different sizes, directions and positions through wavelet transformation, and when inverse transformation is performed, the size of a coefficient of the wavelet transformation unit can be changed according to certain components at different positions and in different directions, so that certain interested components are amplified, and uninteresting components are reduced, and image enhancement is completed;
the convolution transformation is used for performing convolution transformation operation, feature extraction and other processing on data to be processed, for example, in machine vision application, noise may exist in image generation, and filtering may be performed through a convolution kernel, so that an effect of average filtering of pictures is achieved.
The preprocessing module 25 determines a data processing logic according to the data processing logic instruction output by the CPU 23, and starts one or more feature extraction units 251 to process the data to be processed output by the CPU 23 based on the data processing logic, and then outputs the resultant data to the data output module 26. It should be noted that the data processing logic defined by the data processing logic instruction includes not only which feature extraction units 251 need to be activated (corresponding to which processes need to be performed on the data to be processed), but also a parallel computation relationship or a serial computation relationship of the feature extraction units 251, for example, if a user desires to perform spectrum analysis, waveform analysis, and energy spectrum analysis on the data, the data processing logic includes a fast fourier transform unit, a wavelet transform unit, and a convolution transform unit, which need to be activated, and the three units perform computation on the data to be processed in parallel.
In some embodiments, the user can freely add, remove, and set parameters to the feature extraction unit 251 included in the preprocessing module 25 according to the service requirement, the job scene, and the like.
In some embodiments, the command input module 24 is further configured to receive user-input parameter setting commands, where the commands are used to indicate what parameter settings (including parameter types and values thereof) the user desires to perform on the feature extraction unit 251, the CPU 23 is further configured to convert the user-input parameter setting commands into parameter setting instructions that can be recognized by the preprocessing module 25, and the preprocessing module 25 is further configured to perform parameter settings on the feature extraction unit 251 according to the parameter setting instructions.
Compared with the characteristic that the traditional data acquisition equipment can only carry out analog-digital acquisition conversion and simple signal processing, the invention can realize various complex signal processing on data by adding the preprocessing module 25 in the data acquisition equipment, thereby not only meeting the complex operation requirements of users, but also meeting the diversified requirements of the users by freely adding, removing, setting parameters and the like.
The data output module 26 is configured to output the result data output by the preprocessing module 25 to an external device (e.g., an upper computer).
In some embodiments, the data output module 26 includes one or more data transmission interfaces 261, for example, one or more of a CAN bus interface, an ethernet data line interface, and a serial port, and the result data is transmitted through the connection between these data transmission interfaces 261 and the external device. Compared with the traditional data acquisition equipment, the data acquisition equipment provided by the invention utilizes the serial port, the Ethernet data line interface, the CAN bus interface and the like to transmit data, and meets the high-speed transmission requirement in the current artificial intelligence fields such as automatic driving, voice processing and the like.
In some embodiments, the motherboard 2 further includes a solid-state memory 27, and the solid-state memory 27 is respectively connected to the CPU processor 23 and the data output module 26, and is configured to store the data to be processed output by the CPU processor 23 as raw unprocessed data (without being preprocessed by the preprocessing module 25), and output the raw unprocessed data to an external device (e.g., an upper computer) through the data output module 26. The solid-state memory 27 has advantages of low power consumption, high shock resistance, and the like.
In consideration of the situation that the data volume required to be acquired and processed in the industrial field is large and the transmission bandwidth of the conventional data acquisition device cannot be met, in some embodiments, the data output module 26 may further include a data compression unit 262, an input end of the data compression unit 262 is connected to the preprocessing module 25 and/or the solid-state memory 27, and an output end of the data compression unit 262 is connected to the data transmission interface 261, and is configured to compress the result data output by the preprocessing module 25 and/or the original unprocessed data stored in the solid-state memory 27, and then output the compressed data to an external device (e.g., an upper computer) through the data transmission interface 261, so as to improve the data transmission rate between the data acquisition device and the external device, and avoid slow data transmission due to an excessively large data volume.
In some embodiments, the data output module 26 may further include a sleep logic operation unit 263 that adaptively starts or stops the data compression function of the data compression unit 262 by calculating the size of the data amount to be output to the external device; when the data amount to be output to the external device is large (for example, larger than a preset value), the sleep logic operation unit 263 starts the data compression unit 262 to compress the data, so as to improve the data transmission rate between the data acquisition device and the external device; when the data amount to be output to the external device is small (for example, smaller than or equal to the predetermined value), the sleep logic operation unit 263 turns off the data compression function of the data compression sub-module, and does not compress the data output to the external device, so as to save unnecessary energy expenditure.
As shown in fig. 3, in some embodiments, the power supply module 1 specifically includes: a switching power supply module 11, a linear precision voltage-stabilized power supply module 12 and a battery 13.
The switching power supply module 11 is connected to alternating current or direct current such as commercial power and a storage battery to output electric energy.
The linear precision voltage-stabilized power supply module 12 is connected to the switching power supply module 11, and is configured to receive the electric energy provided by the switching power supply module 11, and output the voltage with high quality, stability and small ripple to the broadband low-noise amplifier 21.
The battery 13 is connected to the switching power supply module 11, and when the switching power supply module 11 is connected to an external power supply (such as a commercial power supply, a storage battery, etc.), the battery 13 may receive and store electric energy from the switching power supply module 11 for use when the external power supply cannot be connected. Battery 13 is detachable type spare battery, when using this data acquisition equipment operation in outdoor environment, based on battery 13's power supply function, also can normally work without external power supply, makes things convenient for outdoor use.
In some embodiments, the power supply module 1 further comprises: and the protection module 14 is configured to detect whether the power supplied to the linear precision voltage-stabilized power supply module 12 by the switching power supply module 11 has an over-voltage condition, an under-voltage condition, an over-current condition, and the like, and if so, start a protection mechanism to ensure that the power reaching the linear precision voltage-stabilized power supply module 12 is within a safety range. In specific implementation, the protection module 14 may be formed by combining one or more devices, such as a surge protector, an electromagnetic current release, an isolation transformer, an optical coupler, a fuse, a circuit breaker, and an under-current relay.
As shown in fig. 4, in some embodiments, the present invention provides a data acquisition device comprising: a housing 3, a power supply module 1 and a motherboard 2.
The housing 3 includes: an input device 32 and a display screen 31.
The input device 32 is used for receiving commands (e.g., data processing commands, parameter setting commands, etc.) input by a user and forwarding the commands to the command input module 24, and may include one or more of a keyboard, a mouse, a camera, a scanner, a stylus, a voice input, etc.
And a display screen 31 for displaying information including, but not limited to, digitally and/or graphically displaying the result data output by the preprocessing module 25, raw data stored by the solid-state memory 27, and the like.
In some embodiments, the functions of the input device 32 and the display screen 31 in the above embodiments can be implemented by a single touch display screen.
Compared with the traditional data acquisition equipment, the data acquisition equipment provided by the invention has the following advantages:
(1) the preprocessing module with the plurality of feature extraction units is innovatively designed, so that a user can freely select and match various processing operations of data only by simply adding, removing or configuring parameters for the feature extraction units, complex processing of the data is realized, such as fast Fourier transform, Kalman filtering, wavelet transform, convolution transform and the like, and the requirement of the industrial field on complex processing of the data can be met;
(2) by adopting the ARM high-performance CPU processor, data can be acquired and transmitted at high speed, and the high-speed requirements in the artificial intelligence fields of automatic driving, voice recognition, machine vision and the like are met;
(3) the acquisition of original signals (original unprocessed data) can be completed, and the signals are stored in a solid-state memory and forwarded to external equipment; or various desired preprocessing can be carried out on the collected original signals and then the signals are sent to an upper computer; the data acquisition equipment can be independently used as a signal acquisition preprocessing function module of the external equipment to process and forward signals in real time for relieving the calculation pressure of a CPU (central processing unit) of the external equipment when the external equipment needs to process signals on line in real time.
(4) The battery is detachable, so that the requirement of a user on operation in an environment without an external power supply is met;
(5) the data acquisition equipment is small and exquisite in appearance, low in cost and suitable for production, popularization and application.
It should be noted that the above-mentioned embodiments are merely illustrated for the convenience of understanding the spirit and principle of the present invention, and the embodiments of the present invention are not limited in any way in this respect. Rather, embodiments of the present invention may be applied to any scenario where applicable.
It should be noted that while the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Those of skill in the art will further appreciate that the various illustrative logical blocks, units, and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate the interchangeability of hardware and software, various illustrative components, elements, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design requirements of the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.
The various illustrative logical blocks, or elements, or devices described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be located in a user terminal. In the alternative, the processor and the storage medium may reside in different components in a user terminal.
In one or more exemplary designs, the functions described above in connection with the embodiments of the invention may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media that facilitate transfer of a computer program from one place to another. Storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store program code in the form of instructions or data structures and which can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Additionally, any connection is properly termed a computer-readable medium, and, thus, is included if the software is transmitted from a website, server, or other remote source via a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wirelessly, e.g., infrared, radio, and microwave. Such discs (disk) and disks (disc) include compact disks, laser disks, optical disks, DVDs, floppy disks and blu-ray disks where disks usually reproduce data magnetically, while disks usually reproduce data optically with lasers. Combinations of the above may also be included in the computer-readable medium.

Claims (9)

1. A data acquisition device, comprising: a power supply module and a main board;
the power supply module is used for supplying electric energy to the mainboard;
the mainboard includes: the device comprises a broadband low noise amplifier, an A/D sampling module, a CPU (central processing unit), a command input module, a preprocessing module and a data output module;
the broadband low-noise amplifier is used for acquiring an original signal, amplifying the original signal, reducing noise and outputting an analog voltage signal;
the A/D sampling module is used for converting the analog voltage signal output by the broadband low-noise amplifier into a digital signal;
the CPU is used for performing floating point FPU calculation on the digital signal output by the A/D sampling module and outputting data to be processed;
the command input module is used for receiving a data processing command input by a user, and the data processing command is used for indicating a data processing operation desired by the user;
the CPU processor is also used for generating a data processing logic instruction containing data processing logic according to a data processing command input by a user;
the preprocessing module comprises one or more feature extraction units; the preprocessing module determines a data processing logic according to the data processing logic instruction, and starts one or more feature extraction units to process the data to be processed based on the data processing logic to obtain result data; the data processing logic comprises a feature extraction unit which needs to be started and a parallel computing relation and/or a serial computing relation of the feature extraction unit;
the data output module is used for outputting the result data;
wherein the preprocessing module comprises one or more feature extraction units as follows:
the fast Fourier transform unit is used for carrying out spectrum analysis on the data to be processed;
the Kalman filtering unit is used for performing one or more operations of waveform analysis, signal prediction and optimal estimation on data to be processed;
the wavelet transformation unit is used for performing one or two operations of energy spectrum analysis and time frequency analysis on the data to be processed;
and the convolution transformation unit is used for performing one or two operations of convolution transformation and feature extraction on the data to be processed.
2. The data acquisition device according to claim 1, wherein the motherboard further comprises a solid-state memory for storing data to be processed output by the CPU processor as raw unprocessed data;
the data output module is also used for outputting the raw unprocessed data stored by the solid-state memory.
3. The data acquisition device of claim 2, wherein the data output module comprises one or more data transmission interfaces for transmitting the result data and/or raw data to an external device;
the data transmission interface comprises one or more of a CAN bus interface, an Ethernet data line interface and a serial port.
4. The data acquisition device according to claim 3, wherein the data output module further comprises a data compression unit for compressing the result data and/or raw unprocessed data transmitted by the data transmission interface to an external device.
5. The data acquisition device according to claim 4, wherein the data output module further comprises a sleep logic operation unit, configured to start the data compression unit to compress the result data and/or the raw unprocessed data transmitted by the data transmission interface to the external device when calculating that the data amount of the data transmitted by the data transmission interface to the external device is greater than a preset value, and to stop the data compression unit when calculating that the data amount of the data transmitted by the data transmission interface to the external device is less than or equal to the preset value.
6. The data acquisition device according to claim 1, wherein the command input module is further configured to receive a parameter setting command input by a user, the parameter setting command being used to indicate a type of a parameter and a value thereof that the user desires to set for the feature extraction unit; then the process of the first step is carried out,
the CPU is also used for generating a parameter setting instruction according to the parameter setting command;
the preprocessing module is also used for setting parameters of the feature extraction unit according to the parameter setting instruction.
7. The data acquisition device of claim 1, wherein the power module comprises: the device comprises a switching power supply module, a linear precision voltage-stabilized power supply module and a battery;
the switching power supply module is connected with alternating current or direct current to output electric energy;
the linear precision voltage-stabilized power supply module is used for receiving the electric energy provided by the switching power supply module and outputting a voltage signal to the broadband low-noise amplifier;
the battery is used for receiving and storing the electric energy provided by the switching power supply module, and the battery is a detachable battery.
8. The data acquisition device of claim 7, wherein the power module further comprises: the protection module is used for detecting whether at least one of overvoltage, undervoltage and overcurrent occurs in the electric energy provided for the linear precision voltage-stabilized power supply module by the switching power supply module, and if so, the protection module starts a protection mechanism to ensure that the electric energy reaching the linear precision voltage-stabilized power supply module is in a safety range.
9. The data acquisition device of claim 1, further comprising: a housing; the housing includes: an input device and a display screen;
the input device is used for receiving a data processing command input by a user and forwarding the data processing command to the command input module;
and the display screen is used for displaying the result data output by the preprocessing module in a digital and/or graphic mode.
CN202110085932.0A 2021-01-22 2021-01-22 Data acquisition equipment Pending CN112859698A (en)

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Application publication date: 20210528