CN111447284A - Dynamic data compression, communication and restoration method and device based on Fourier transform algorithm, terminal equipment and readable storage medium - Google Patents
Dynamic data compression, communication and restoration method and device based on Fourier transform algorithm, terminal equipment and readable storage medium Download PDFInfo
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- CN111447284A CN111447284A CN202010281091.6A CN202010281091A CN111447284A CN 111447284 A CN111447284 A CN 111447284A CN 202010281091 A CN202010281091 A CN 202010281091A CN 111447284 A CN111447284 A CN 111447284A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
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- H04L67/565—Conversion or adaptation of application format or content
- H04L67/5651—Reducing the amount or size of exchanged application data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
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- G—PHYSICS
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
Abstract
The invention discloses a dynamic data compression, communication and restoration method, a device, a terminal device and a readable storage medium based on a Fourier transform algorithm, comprising the following steps: dynamic data acquisition and pretreatment; compression and communication of dynamic data; and restoring and storing the dynamic data. Carrying out Fourier transform on a time domain waveform of the collected dynamic data in a specified time period to obtain frequency domain data of the dynamic data; storing the frequency domain data with the time labels, and communicating the frequency domain data with a remote (or cloud) data center in a wired/wireless mode; the remote data center performs inverse Fourier transform on the received frequency domain data, adds a time tag, and restores to obtain a dynamic data time domain waveform of a corresponding time period; the time domain waveforms of all time periods are stored according to the time sequence, continuous acquisition, compression, communication, reduction and storage of real-time dynamic data are realized, and a real-time database of the dynamic data is established remotely.
Description
Technical Field
The invention relates to the field of dynamic data transmission of hydropower station equipment, in particular to a dynamic data compression, communication and restoration method, a device, terminal equipment and a readable storage medium based on a Fourier transform algorithm.
Background
With the increase of the demand of the society on electric power and the improvement of environmental awareness of people, the importance of hydroelectric power generation is gradually increased. The storage capacity of river water in China reaches 6.8 hundred million kilowatts, 3.4 million kilowatts are developed and installed at present, and the annual generating capacity is 1.2 trillion kilowatt-hour.
At present, 4.7 ten thousand seats of small hydropower stations with the installed capacity of less than 5 ten thousand kilowatts and the total installed capacity of 7927 ten thousand kilowatts are built in China; 479 medium-sized hydropower stations which are installed with 5-30 thousands (not including) kilowatts and have a total installed capacity of 4487 thousands kilowatts; 30 thousands or more large hydropower stations 152 seats and 797 power generation devices are installed, the total installed capacity is about 2.22 hundred million kilowatts, and the annual energy production is about 7200 million kilowatt hours. China is the first place in all countries in the world, regardless of the amount of stored water energy resources or water energy resources which can be developed.
While the scale of the hydroelectric power generation is rapidly enlarged, the data objects of the equipment needing monitoring and control in the same area are amplified in geometric grade, and with the increase of the data capacity of the single machine, the requirement of safe operation of the equipment is higher, the simple local data analysis can not meet the requirement of equipment data monitoring, huge data needs to be sent to a remote background for professional data monitoring, analysis and early warning, however, in the field of data transmission of existing hydropower station devices, the technical scheme for uploading data still adopts a traditional data transmission mode, and only real-time online monitoring, analysis and online diagnosis of an on-site device end can be realized, and real-time online monitoring, online analysis and online diagnosis of states of a large number of devices cannot be realized in a remote (cloud) data center, so that requirements on-site data transmission devices and network bandwidth are high, and the data transmission efficiency is low.
Disclosure of Invention
The invention aims to provide a dynamic data compression, communication and restoration method, a device, a terminal device and a readable storage medium based on a Fourier transform algorithm.
The invention provides a dynamic data compression, communication and restoration method based on a Fourier transform algorithm, which comprises the following steps:
s101, real-time dynamic data acquisition and pretreatment: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform;
s102, real-time dynamic data compression and communication: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode;
s103, real-time dynamic data reduction and storage: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
Further, the dynamic data compression, communication and restoration method based on the fourier transform algorithm further includes determining a segment duration and a time tag of a time domain waveform of the dynamic data according to characteristics of the dynamic data in step S101.
In the real-time data acquisition and preprocessing step, the time domain waveform of the dynamic data is processed into segmented storage of a preset time period, the segmented and stored dynamic data time domain waveform is subjected to Fourier transform to obtain frequency domain data of the time domain waveform of the dynamic data in a specified time period, and the frequency value, the amplitude value and the phase value of the fundamental wave and the harmonic wave with a time starting point and a time duration are stored.
Further, the dynamic data compression, communication and restoration method based on the fourier transform algorithm further comprises a dynamic data deletion step for the data processing terminal between the dynamic data compression and communication step S102 and the real-time dynamic data restoration and storage step S103, and after the dynamic data time domain waveform in each time period is compressed and uploaded, the dynamic data time domain data in the time period stored by the data processing terminal is deleted.
Further, the dynamic data compression, communication and restoration method based on the Fourier transform algorithm further comprises the step S104 of storing dynamic data, wherein each section of dynamic data waveform received and restored by the remote data center is stored in a combined mode according to the time starting point and the time length which are additionally stored, and real-time dynamic data of the tested equipment changing along with time are obtained and stored.
In a second aspect of the present invention, a dynamic data compression, communication and restoration device based on a fourier transform algorithm is provided, which includes:
the real-time dynamic data acquisition and preprocessing module comprises: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform;
the real-time dynamic data compression and communication module comprises: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode;
the real-time dynamic data reduction and storage module comprises: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
Furthermore, the dynamic data compression, communication and reduction device based on the Fourier transform algorithm, the real-time dynamic data acquisition and preprocessing module and the time domain waveform segmentation duration and the time tag are determined according to the characteristics of the dynamic data.
Furthermore, the dynamic data compression, communication and reduction device based on the Fourier transform algorithm, the real-time data acquisition and preprocessing module processes the time domain waveform of the dynamic data into segmented storage of a preset time period, performs Fourier transform on the segmented and stored dynamic data time domain waveform to obtain frequency domain data of the time domain waveform of the dynamic data of a specified time period, and stores the frequency value, the amplitude value and the phase value of the fundamental wave and the harmonic wave with a time starting point and a time duration.
The dynamic data compression, communication and restoration device based on the Fourier transform algorithm further comprises a dynamic data deletion module, wherein the dynamic data deletion module deletes the dynamic data in the time period stored by the data processing terminal after compressing and uploading the dynamic data waveform in each preset time period.
The dynamic data compression, communication and restoration device based on the Fourier transform algorithm further comprises a dynamic data deleting module, and after the dynamic data time domain waveforms in each time period in the dynamic data compression and communication module and the real-time dynamic data restoration and storage module are compressed and uploaded, the dynamic data time domain data in the time period stored by the data processing terminal are deleted.
In a third aspect of the present invention, a terminal device for implementing dynamic data compression and restoration based on a fourier transform algorithm is provided, where the terminal device includes:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method for dynamic data compression and restoration based on a fourier transform algorithm as described above.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, which has instructions stored thereon, and when executed by a processor, the instructions implement the dynamic data compression and restoration method based on the fourier transform algorithm as described above.
The invention has the beneficial effects that: compared with the prior art, the invention obtains the spectrogram of the time domain waveform of the dynamic data of the time period by performing fast Fourier transform calculation on the real-time dynamic data according to the preset time period, and stores the frequency value, the amplitude value and the phase value of the fundamental wave and the harmonic wave with the time starting point and the time duration, which are used for replacing the time domain waveform of the dynamic data, namely, the frequency domain characteristic value of the dynamic data replaces the time domain waveform diagram, the data volume of the time domain waveform diagram is greatly reduced and compressed, the data is transmitted to a far-end (or cloud) data center in a limited/wireless way, the far-end data center performs fast Fourier inverse transformation on the received frequency-frequency domain data and adds time coordinate points and time durations, so as to obtain the time domain waveform diagram of the dynamic data which is discontinuous in time, and each time domain waveform diagram which is connected back and forth is combined and stored according to the, and obtaining real-time and continuous real-time dynamic data groups and time domain oscillograms which are transformed according to time lines. The method can realize uploading and monitoring of huge data of hydropower station equipment, so that data transmission is not limited to network bandwidth, the running state and information of the hydraulic equipment can be timely and accurately monitored, and the data transmission requirement caused by rapid expansion of the hydraulic power generation scale is met.
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FIG. 1 is a schematic flow diagram of the process of the present invention.
Fig. 2 is a schematic diagram of the structural principle of the device of the present invention.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings.
As shown in fig. 1, in this embodiment, the dynamic data compression, communication and restoration method based on the fourier transform algorithm includes the following steps:
s101, real-time dynamic data acquisition and pretreatment: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform;
s102, real-time dynamic data compression and communication: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode;
s103, real-time dynamic data reduction and storage: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
In this embodiment, in step S101, the segment duration and the time tag of the time domain waveform of the dynamic data are determined according to the characteristics of the dynamic data.
In the real-time dynamic data acquisition and preprocessing step, preprocessing the dynamic data into sectionally storing the received dynamic data in a preset time period, wherein in the embodiment, the preset time period is 1h, and during dynamic data compression, fast Fourier transform is performed on the dynamic data waveform in each 1h time period stored in sections to obtain a spectrogram of a time domain waveform of the dynamic data in the time period, and frequency values, amplitude values and phase values of fundamental wave and harmonic waves with time starting points and time durations are stored; a dynamic data deleting step for the data processing terminal is further included between the step S102 of compressing and communicating the real-time dynamic data and the step S103 of restoring and storing the real-time dynamic data, and after the dynamic data waveform in each 1h time period is compressed and uploaded, the dynamic data stored in the data processing terminal in the time period is deleted; and step S104, storing dynamic data, namely, storing the dynamic data waveform of every 1h received and restored by the remote data center in a combined manner according to the time starting point and the time length which are additionally stored, and obtaining and storing a dynamic data group which is converted by the equipment according to a time line.
In this embodiment, the dynamic data compression, communication and restoration device based on the fourier transform algorithm includes: the real-time dynamic data acquisition and preprocessing module comprises: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform; the real-time dynamic data compression and communication module comprises: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode; the real-time dynamic data reduction and storage module comprises: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
In this embodiment, the real-time dynamic data acquisition and preprocessing module further determines the segment duration and the time tag of the time domain waveform according to the characteristics of the dynamic data.
As shown in fig. 2, the dynamic data compression, communication and restoration apparatus based on fourier transform algorithm, pre-process the dynamic data to perform segmented storage of a preset time period on the received dynamic data, in this embodiment, the preset time is 1h, perform fast fourier transform on the dynamic data waveform stored in segments in each 1h time period when performing dynamic data compression, obtain a spectrogram of a time domain waveform of the dynamic data in the time period, and store frequency value, amplitude value and phase value of a fundamental harmonic wave with a time start point and a time duration; the dynamic data compression, communication and restoration device based on the Fourier transform algorithm further comprises a dynamic data deletion module, wherein the dynamic data deletion module deletes the dynamic data in the time period stored by the data processing terminal after compressing and uploading the dynamic data waveform in each 1h time period; the dynamic data compression, communication and reduction device based on the Fourier transform algorithm further comprises a dynamic data storage module, wherein the dynamic data storage module is used for carrying out combined storage on the waveform of every 1h of dynamic data received and reduced by the remote data center according to the time starting point and the time length which are additionally stored, so that a dynamic data group of the device transformed according to the time line is obtained and stored, and finally, the remote data center is used for monitoring, analyzing and early warning the stored dynamic data of the hydraulic equipment.
In the embodiment, the spectrogram of the preset time interval is converted by using the dynamic time domain waveform of the preset time interval, the characteristic value with the greatly reduced data volume is used for communication transmission, and finally, the spectrogram with the time tag is restored, played back and stored at the far end (cloud end), and is sequentially combined into a continuous real-time continuous time domain waveform according to time, so that the dynamic data is reproduced and stored in real time for a long time, uninterruptedly and a far end, the uploading, the far end (cloud end) online analysis and the monitoring of the huge data of the hydraulic equipment field online state monitoring cannot be realized by the current technology, the data transmission is not limited to the network bandwidth, the dynamic real-time operation data information acquisition, the remote transmission, the far end (cloud end) storage, the playback and the online analysis of the industrial field equipment can be realized timely and accurately, and the scale of the large hydraulic power generation equipment state online monitoring data by the hydropower station centralized control center and the cloud end large data center can be expanded rapidly The data transmission requirement caused by the requirement can realize the real-time online analysis of a large amount of hydraulic equipment in the centralized control center and the third-party cloud data center,
the foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, and that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (12)
1. The dynamic data compression, communication and restoration method based on the Fourier transform algorithm is characterized by comprising the following steps of:
s101, real-time dynamic data acquisition and pretreatment: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform;
s102, real-time dynamic data compression and communication: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode;
s103, real-time dynamic data reduction and storage: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
2. The method for dynamic data compression, communication and recovery based on fourier transform algorithm as claimed in claim 1, further comprising determining the segment duration and time stamp of the time domain waveform according to the characteristics of the dynamic data in step S101.
3. The method for compressing, communicating and recovering dynamic data based on the fourier transform algorithm as claimed in claim 1, wherein in the step of collecting and preprocessing the real-time data, the time domain waveform of the dynamic data is processed into a segment storage of a preset time period, and the fourier transform is performed on the time domain waveform of the dynamic data stored in the segment storage to obtain the frequency domain data of the time domain waveform of the dynamic data of the specified time period, and the frequency value, the amplitude value and the phase value of the fundamental wave and the harmonic wave with the time start point and the time duration are stored.
4. The dynamic data compression, communication and restoration method based on the fourier transform algorithm as claimed in claim 3, further comprising a dynamic data deletion step for the data processing terminal between the step S102 of dynamic data compression and communication and the step S103 of real-time dynamic data restoration and storage, wherein after the dynamic data time domain waveform in each time period is compressed and uploaded, the dynamic data time domain data in the time period stored by the data processing terminal is deleted.
5. The Fourier transform algorithm-based dynamic data compression, communication and restoration method according to claim 3, further comprising a step S104 of storing dynamic data, wherein each section of dynamic data waveform received and restored by the remote data center is stored in a combination manner according to the time starting point and the time duration which are additionally stored, so as to obtain and store real-time dynamic data of the tested device changing along with time.
6. Dynamic data compression, communication and reduction device based on Fourier transform algorithm, characterized by comprising:
the real-time dynamic data acquisition and preprocessing module comprises: the method comprises the steps that at least one data acquisition processing terminal is arranged at the near end of the tested equipment, and the data processing terminal acquires the time domain waveform of the dynamic data of the on-site tested equipment in a wired/wireless mode and carries out sectional preprocessing on the time domain waveform;
the real-time dynamic data compression and communication module comprises: the data processing terminal performs Fourier transform on the time domain waveform of the collected dynamic data, compresses the time domain data into frequency domain data with a time tag, and communicates the frequency domain data with a data center in a wired/wireless mode;
the real-time dynamic data reduction and storage module comprises: and the remote data center performs inverse Fourier transform on the frequency domain data of the received dynamic data, restores the frequency domain data to obtain a time domain data waveform of the field real-time dynamic data, and stores the time domain data waveform according to a time sequence.
7. The Fourier transform algorithm-based dynamic data compression, communication and recovery device of claim 6, wherein the real-time dynamic data acquisition and preprocessing module further determines the segment duration and time stamp of the time domain waveform according to the characteristics of the dynamic data.
8. The device for compressing, communicating and restoring dynamic data based on a fourier transform algorithm as claimed in claim 6, wherein the real-time data acquisition and preprocessing module further processes the time domain waveform of the dynamic data into a segmented storage of a preset time period, and performs fourier transform on the time domain waveform of the dynamic data stored in the segmented storage to obtain frequency domain data of the time domain waveform of the dynamic data of a specified time period, and stores the frequency value, amplitude value and phase value of the fundamental wave and the harmonic wave with a time start point and a time duration.
9. The device for compressing, communicating and recovering dynamic data based on the fourier transform algorithm as claimed in claim 8, further comprising a dynamic data deleting module, wherein the dynamic data deleting module deletes the dynamic data stored in the data processing terminal in each preset time period after compressing and uploading the dynamic data waveform in the time period.
10. The device for compressing, communicating and restoring dynamic data based on the fourier transform algorithm as claimed in claim 8, further comprising a dynamic data deleting module, wherein the dynamic data time domain data in each time period stored by the data processing terminal is deleted after the dynamic data time domain waveforms in the dynamic data compressing and communicating module and the real-time dynamic data restoring and storing module are compressed and uploaded.
11. The terminal equipment for realizing dynamic data compression and reduction based on the Fourier transform algorithm is characterized by comprising:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the fourier transform algorithm-based dynamic data compression and restoration method as recited in any of claims 1-5.
12. Computer readable storage medium having stored thereon instructions, which when executed by a processor, implement a fourier transform algorithm based dynamic data compression, communication and restoration method according to any of claims 1-5.
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