CN117176331A - Electric digital data processing device and processing method thereof - Google Patents

Electric digital data processing device and processing method thereof Download PDF

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Publication number
CN117176331A
CN117176331A CN202311453054.9A CN202311453054A CN117176331A CN 117176331 A CN117176331 A CN 117176331A CN 202311453054 A CN202311453054 A CN 202311453054A CN 117176331 A CN117176331 A CN 117176331A
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digital data
electric digital
electric
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module
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CN117176331B (en
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张素笙
狄峡
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Jiangsu Gaoxin Construction System Co ltd
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Jiangsu Gaoxin Construction System Co ltd
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Abstract

The invention discloses an electric digital data processing device and a processing method thereof, in particular to the technical field of electronic digital data processing, comprising an electric digital signal communication module, an electric digital data encryption module, an electric digital data processing module, an electric digital data storage module, an electric digital data online monitoring and analyzing module and a self-adaptive upgrading electric digital data processing module, wherein the electric digital signal communication module adopts a wireless communication technology, utilizes an electric data transmission protocol interface to carry out data transmission and is used for acquiring electric digital data signals in the electric digital data processing device and transmitting the electric digital data signals to the electric digital data encryption module; the invention adopts the electric digital data encryption module to add the data encryption and fidelity functions, the electric digital data processing module adds the data processing and transmitting functions, and the self-adaptive upgrading electric digital data processing module adds the self-adaptive upgrading processing function, thereby achieving the effect of accurately collecting the electric data information.

Description

Electric digital data processing device and processing method thereof
Technical Field
The invention relates to the technical field of electronic digital data processing, in particular to an electronic digital data processing device and a processing method thereof.
Background
Along with the development of the technology, the power equipment is continuously developed, the information data technology responds to the demands of the social market, the development of data is gradually increased, the data is a form for showing transmission signals, the power equipment commonly used in life receives source data information in the process of transmitting signal data, the source data information is influenced by interference signals through transmission, the data transmitted to a central control management module is caused, the data information is inaccurate, and the problem that a filtering algorithm is troublesome for removing the interference signals is solved.
The existing electric digital data processing device specifically comprises a physical structure, an electric digital data acquisition and receiving module and an electric digital data central control processing module, wherein a filtering algorithm such as median filtering, kalman filtering and mean filtering is adopted during processing, and an electric digital data on-line monitoring module is used for the electric digital data processing process, so that the electric digital data processing device has the characteristic of convenience, and on-line monitoring and processing data can play a role in data early warning and warning.
The existing electric digital data processing device has the problems that the electric data acquisition information is inaccurate, the data transmission is mixed with interference signals, so that the processing process is complex, the electric digital data processing method is not intelligent enough, the electric digital data processing process cannot be adaptively controlled, and therefore the processing efficiency of the electric digital data processing device is low, and the processing process is complex in filtering operation and heat generation, so that the electric digital data is inaccurate.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide an electric digital data processing apparatus and a processing method thereof, which solve the problems set forth in the background art by adding an electric digital data encryption module, an electric digital data processing module, and an adaptive upgrade electric digital data processing module.
In order to achieve the above purpose, the present invention provides the following technical solutions: the electric digital data processing device comprises an electric digital signal communication module, an electric digital data encryption module, an electric digital data processing module, an electric digital data storage module, an electric digital data online monitoring and analyzing module and an adaptive upgrading electric digital data processing module, wherein the electric digital signal communication module adopts a wireless communication technology, utilizes an electric data transmission protocol interface to perform data transmission and is used for acquiring electric digital data signals in the electric digital data processing device and transmitting the electric digital data signals to the electric digital data encryption module; the electric digital data encryption module is used for encrypting the electric digital data signals received by the electric digital signal communication module, transmitting the encrypted data signals to the electric digital data processing module for further electric digital data processing, and improving the accuracy of the received electric digital data signals and avoiding interference signal noise from being mixed into source electric digital data; the electric digital data processing module is used for receiving the electric digital data information encrypted by the electric digital data encryption module, decrypting the electric digital data information by utilizing a corresponding secret key to obtain source electric digital data information, and normalizing, classifying and transmitting the source electric digital data information; the electric digital data on-line monitoring and analyzing module is used for monitoring electric digital data signals in real time and analyzing and processing abnormal electric digital data in the process of processing the electric digital data by the electric digital data processing module, and the electric digital data on-line monitoring and analyzing module and the electric digital data processing module are mutually synergistic modules; the self-adaptive upgrade electric digital data processing module adopts a machine learning technology to carry out self-adaptive control on algorithms, models and monitoring and correcting abnormal data methods related to the electric digital data processing process, and upgrade the electric digital data processing method to improve the processing efficiency of electric digital data.
In a preferred embodiment, the electric digital signal communication module comprises an electric digital data transmission communication interface unit and an electric digital data signal acquisition unit, wherein the electric digital data transmission communication interface unit is used for carrying out data communication transmission on a serial communication interface by adopting a TCP/IP protocol and is used for transmitting electric digital data signals; the electric digital data signal acquisition unit consists of an analog-to-digital converter ADC and a digital signal processing chip DSP and is used for acquiring and receiving electric digital data information transmitted by the electric digital data transmission communication interface unit; the TCP/IP protocol refers to a protocol cluster for realizing information transmission in a network supported by electric power, and the communication transmission process of electric digital data signals is completed; the analog-to-digital converter ADC is used for converting analog signals and digital signals; the digital signal processing chip DSP is capable of processing digital signals.
In a preferred embodiment, the electric digital data encryption module comprises an encryption algorithm unit, a fixed key unit and an SSL protocol transmission encryption data unit, wherein the encryption algorithm unit adopts a symmetric encryption algorithm AES, the received electric digital data signal plaintext is subjected to encryption transformation to output a ciphertext form, and the encryption transformation process is an encryption algorithm; after the AES encryption algorithm is agreed, the electric digital data processing module receives ciphertext information transmitted by the electric digital data encryption module, and then decrypts the ciphertext information by using a key to obtain a corresponding electric digital data signal plaintext for encryption and decryption; the SSL protocol transmission encryption data unit uses an AES encryption technology to ensure that information cannot be stolen and interference signals cannot be received in the electric digital data transmission process, and is used for transmitting ciphertext.
In a preferred embodiment, the electric digital data processing module comprises an encrypted data receiving and cracking unit, an ANN neural network algorithm classification electric digital data unit, an electric digital data conversion processing unit and an electric data multi-channel transmission unit, wherein the encrypted data receiving and cracking unit is used for cracking ciphertext of electric digital data by using an AES key to obtain electric digital data plaintext for decryption; the ANN neural network algorithm classification electric digital data unit is used for classifying the electric digital data decrypted by the encrypted data receiving and decrypting unit by utilizing an artificial neural network technology; the electrical digital data conversion processing unit is used for converting the electrical digital data classified in the ANN neural network algorithm classified electrical digital data unit into the same data format for transmission to the electrical data multichannel transmission unit; the electric data multichannel transmission unit adopts a plurality of data transmission channels, so that electric digital data are transmitted in parallel, and the electric digital data processing efficiency is improved.
In a preferred embodiment, the electric digital data storage module comprises a real-time abnormal electric digital data unit, an abnormal electric digital data unit correction unit and an electric digital data unit analysis unit, wherein the real-time abnormal electric digital data unit monitoring is realized by a memory sharing method, and processing data in the electric digital data processing module are monitored on line; the abnormal electricity correction digital data unit is used for monitoring abnormal electricity digital data signals of the abnormal electricity digital data unit in real time in the monitoring process, extracting abnormal electricity data and carrying out correction processing by using a correction algorithm; the analysis electric digital data unit is used for analyzing and processing electric digital data monitored in real time by the real-time monitoring abnormal electric digital data unit and is used for distinguishing whether the abnormal electric digital data is abnormal electric digital data information or not.
In a preferred embodiment, the electric digital data online monitoring and analyzing module comprises an adaptive LMS algorithm processing unit, a machine learning optimization upgrading unit and an adaptive control electric digital data processing unit, wherein the adaptive LMS algorithm processing unit is used for minimizing the mean square value of the error between the output signal of the filter and the expected response, and the adopted formula is thatWherein E is a mean square error, (-)>For the desired response, W is the defined weight vector, ">The signal is an error signal and is used for adaptively filtering and removing noise interference signals; the machine learning optimization upgrading unit adopts a machine learning technology to train the number of samples of an expected output value, finds a proper weight vector W so as to minimize an error mean square value, calculates a bias derivative for the weight vector W by using the minimum error mean square value, calculates an extremum corresponding to the error mean square value by using the bias derivative value as zero, and then adjusts the weight vector W by using the extremum to correct the weight value; the self-adaptive control electric digital data processing unit processes electric digital data according to the self-adaptive LMS algorithm processing unit and the machine learning optimization upgrading unit, and takes decision instructions after identifying the dynamic characteristics of the object for automatic useThe electric digital data processing process is adjusted and controlled.
In a preferred embodiment, the adaptive upgrade electric digital data processing module comprises an I/O electric digital data transmission unit and a ROM storage electric digital data unit, wherein the I/O electric digital data transmission unit is an input/output channel unit of electric digital data and is used for transmitting electric digital data information of other modules and an algorithm for processing the electric digital data; the ROM stores electric digital data unit composed of read-only memory for fixing program running in electric digital data processor and storing electric digital data, wherein ROM is composed of address decoder, memory bank, readout line and readout amplifier, the processor sends the address of memory unit to be accessed through address bus, the address decoder selects the memory word line according to the input address code, then the address decoder drives the address bus of the memory word line to read out the binary code of the memory unit address.
In a preferred embodiment, the method specifically comprises the following steps:
s1, firstly, acquiring effective information of digital data through an electric digital signal communication module, and encrypting the received electric digital signal in an encryption mode to ensure the accuracy of electric digital data transmission;
s2, the electric digital signals processed by the electric digital data encryption module are transmitted to the electric digital data processing module to be decrypted, extracted, calculated, transformed, stored and transmitted, and the data processing efficiency is improved by adopting a shared memory mode;
s3, monitoring the processing information of the electric digital data processing module in real time by utilizing an electric digital data online monitoring and analyzing module, and carrying out data analysis by adopting an improved 53H algorithm and processing by adopting an abnormal electric data correction algorithm;
and S4, finally, the algorithm and the model used in the electric digital data processing process in the electric digital data processing device are intelligently updated and upgraded by utilizing the self-adaptive upgrading electric digital data processing module and are memorized in an editable memory, so that the accuracy and the efficiency of electric digital data processing are improved.
In a preferred embodiment, the improved 53H algorithm is to perform iterative smoothing processing on an original sequence of the electric digital data to obtain non-smooth points at the beginning and the end of the original sequence, wherein the points with deviation are mutation points, and the smooth values are used for replacing the formation of a new sequence for online monitoring of electric digital data information and smooth interference signals, and eliminating abnormal electric digital data.
The invention has the technical effects and advantages that:
the invention adopts the electric digital data encryption module to increase the data encryption and fidelity functions, the electric digital data processing module increases the data processing and transmitting functions, the self-adaptive upgrading electric digital data processing module increases the self-adaptive upgrading processing function, achieves the effect of accurately collecting electric data information, adopts the encryption method to ensure the accuracy of electric digital data, and realizes the intelligent self-adaptive processing function of electric digital data.
Drawings
FIG. 1 is a block diagram of the system architecture of the electrical digital data processing apparatus of the present invention.
Fig. 2 is a diagram of an electric digital signal communication module and an electric digital data encryption module according to the present invention.
Fig. 3 is a block diagram of an electrical digital data processing module according to the present invention.
FIG. 4 is a block diagram of an on-line monitoring and analysis of electrical digital data according to the present invention.
FIG. 5 is a block diagram of an adaptive upgrade electronic digital data processing module of the present invention.
Fig. 6 is a diagram of an electrical digital data storage module of the present invention.
Fig. 7 is a flowchart of a processing method of the electric digital data processing apparatus of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment provides an electric digital data processing device as shown in fig. 1, which comprises an electric digital signal communication module, an electric digital data encryption module, an electric digital data processing module, an electric digital data storage module, an electric digital data online monitoring and analyzing module and an adaptive upgrade electric digital data processing module, wherein the electric digital signal communication module adopts a wireless communication technology, utilizes an electric data transmission protocol interface to perform data transmission and is used for acquiring electric digital data signals in the electric digital data processing device and transmitting the electric digital data signals to the electric digital data encryption module; the electric digital data encryption module is used for encrypting the electric digital data signals received by the electric digital signal communication module, transmitting the encrypted data signals to the electric digital data processing module for further electric digital data processing, and improving the accuracy of the received electric digital data signals and avoiding interference signal noise from being mixed into source electric digital data; the electric digital data processing module is used for receiving the electric digital data information encrypted by the electric digital data encryption module, decrypting the electric digital data information by utilizing a corresponding secret key to obtain source electric digital data information, and normalizing, classifying and transmitting the source electric digital data information; the electric digital data on-line monitoring and analyzing module is used for monitoring electric digital data signals in real time and analyzing and processing abnormal electric digital data in the process of processing the electric digital data by the electric digital data processing module, and the electric digital data on-line monitoring and analyzing module and the electric digital data processing module are mutually synergistic modules; the self-adaptive upgrade electric digital data processing module adopts a machine learning technology to carry out self-adaptive control on algorithms, models and monitoring and correcting abnormal data methods related to the electric digital data processing process, and upgrade the electric digital data processing method to improve the processing efficiency of electric digital data.
The implementation differs from the prior art in that the electric digital data encryption module, the electric digital data processing module and the self-adaptive upgrading electric digital data processing module are added with data encryption fidelity functions, the electric digital data processing module is added with data processing and transmission functions, the self-adaptive upgrading electric digital data processing module is added with self-adaptive upgrading processing functions, the electric digital data encryption module and the self-adaptive upgrading electric digital data processing module form accurate electric digital data collection and self-adaptive processing functions, the whole process is not possessed by the prior art, and the embodiment does not limit specific algorithm or program processes.
In the embodiment shown in fig. 2, the electric digital signal communication module specifically includes an electric digital data transmission communication interface unit and an electric digital data signal acquisition unit, where the electric digital data transmission communication interface unit performs data communication transmission on a serial communication interface by adopting a TCP/IP protocol, and is used for transmitting electric digital data signals; the electric digital data signal acquisition unit consists of an analog-to-digital converter ADC and a digital signal processing chip DSP and is used for acquiring and receiving electric digital data information transmitted by the electric digital data transmission communication interface unit; the TCP/IP protocol refers to a protocol cluster for realizing information transmission in a network supported by electric power, and the communication transmission process of electric digital data signals is completed; the analog-to-digital converter ADC is used for converting analog signals and digital signals; the digital signal processing chip DSP is capable of processing digital signals.
In the embodiment shown in fig. 2, the specific description is that the electric digital data encryption module includes an encryption algorithm unit, a fixed key unit and an SSL protocol transmission encryption data unit, where the encryption algorithm unit adopts a symmetric encryption algorithm AES to output a ciphertext form of a received electric digital data signal plaintext through encryption transformation, and the encryption transformation process is an encryption algorithm; after the AES encryption algorithm is agreed, the electric digital data processing module receives ciphertext information transmitted by the electric digital data encryption module, and then decrypts the ciphertext information by using a key to obtain a corresponding electric digital data signal plaintext for encryption and decryption; the SSL protocol transmission encryption data unit uses an AES encryption technology to ensure that information cannot be stolen and interference signals cannot be received in the electric digital data transmission process, and is used for transmitting ciphertext.
The AES is a block encryption algorithm, the plaintext of the electric digital data to be encrypted is divided into a plurality of groups of data with equal length and 16 bytes each time, one group of data is encrypted each time until encryption is completed, the block length is 128 bits, the key length is 128 bits, 192 bits and 256 bits, and the AES encryption can be expressed by adopting an edit logic operation code as follows:
public static void AES(){
try {
first step// steps: generating KEY
KeyGenerator keyGenerator = KeyGenerator.getInstance("AES");
keyGenerator.init(128);
And (3) a second step: generating keys
SecretKey secretKey = keyGenerator.generateKey();
And (3) a third step: obtaining a key
byte[] keyBytes = secretKey.getEncoded();
And a step// fourth: KEY conversion
Key key = new SecretKeySpec(keyBytes, "AES");
And a fifth step: encryption
Cipher cipher = Cipher.getInstance("AES/ECB/PKCS5Padding");
cipher.init(Cipher.ENCRYPT_MODE, key);
byte[] result = cipher.doFinal(src.getBytes());
System.out.println ("secret after encryption:" + byteArrayToHexStr (result));
and (f)/sixth step: decryption
cipher.init(Cipher.DECRYPT_MODE, key);
result = cipher.doFinal(result);
System.out.println ("plaintext after decryption:" +new String (result));
} catch (Exception e) {
e.printStackTrace();
}。
in this embodiment as shown in fig. 3, the specific explanation is that the electric digital data processing module includes an encrypted data receiving and cracking unit, an ANN neural network algorithm classification electric digital data unit, an electric digital data conversion processing unit and an electric data multi-channel transmission unit, where the encrypted data receiving and cracking unit uses an AES key to crack a ciphertext of electric digital data to obtain an electric digital data plaintext for decryption; the ANN neural network algorithm classification electric digital data unit is used for classifying the electric digital data decrypted by the encrypted data receiving and decrypting unit by utilizing an artificial neural network technology; the electrical digital data conversion processing unit is used for converting the electrical digital data classified in the ANN neural network algorithm classified electrical digital data unit into the same data format for transmission to the electrical data multichannel transmission unit; the electric data multichannel transmission unit adopts a plurality of data transmission channels, so that electric digital data are transmitted in parallel, and the electric digital data processing efficiency is improved.
In this embodiment as shown in fig. 4, it is specifically described that the electric digital data storage module includes a real-time abnormal electric digital data monitoring unit, an abnormal electric digital data correcting unit and an electric digital data analyzing unit, where the real-time abnormal electric digital data monitoring unit monitors the processing data in the electric digital data processing module online by a method of sharing a memory; the abnormal electricity correction digital data unit is used for monitoring abnormal electricity digital data signals of the abnormal electricity digital data unit in real time in the monitoring process, extracting abnormal electricity data and carrying out correction processing by using a correction algorithm; the analysis electric digital data unit is used for analyzing and processing electric digital data monitored in real time by the real-time monitoring abnormal electric digital data unit and is used for distinguishing whether the abnormal electric digital data is abnormal electric digital data information or not.
In this embodiment as shown in fig. 5, the electric digital data online monitoring and analyzing module specifically includes an adaptive LMS algorithm processing unit, a machine learning optimization upgrading unit, and an adaptive control electric digital data processing unit, where the adaptive LMS algorithm processing unit minimizes the mean square value of the error between the filter output signal and the expected response, and the formula is adoptedWherein E is a mean square error, (-)>For the desired response, W is the defined weight vector, ">The signal is an error signal and is used for adaptively filtering and removing noise interference signals; the machine learning optimization upgrading unit adopts a machine learning technology to train the number of samples of an expected output value, finds a proper weight vector W so as to minimize an error mean square value, calculates a bias derivative for the weight vector W by using the minimum error mean square value, calculates an extremum corresponding to the error mean square value by using the bias derivative value as zero, and then adjusts the weight vector W by using the extremum to correct the weight value; the self-adaptive control electric digital data processing unit processes electric digital data according to the self-adaptive LMS algorithm processing unit and the machine learning optimization upgrading unit, and a decision instruction is adopted after the dynamic characteristics of the object are identified for automatically adjusting and controlling the electric digital data processing process.
In this embodiment, as shown in fig. 6, the adaptive upgrade digital data processing module includes an I/O digital data transmission unit and a ROM storage digital data unit, where the I/O digital data transmission unit is an input/output channel unit for digital data, and is used to transmit digital data information of other modules and an algorithm for processing digital data; the ROM stores electric digital data unit composed of read-only memory for fixing program running in electric digital data processor and storing electric digital data, wherein ROM is composed of address decoder, memory bank, readout line and readout amplifier, the processor sends the address of memory unit to be accessed through address bus, the address decoder selects the memory word line according to the input address code, then the address decoder drives the address bus of the memory word line to read out the binary code of the memory unit address.
As shown in fig. 7, the present embodiment provides a processing method of an electric digital data processing device, which specifically includes the following steps:
s1, firstly, acquiring effective information of digital data through an electric digital signal communication module, and encrypting the received electric digital signal in an encryption mode to ensure the accuracy of electric digital data transmission;
in this embodiment, it is specifically described that the encryption processing adopts an AES encryption algorithm to complete encryption through byte substitution, row shifting, column confusion and round key addition, where the encryption process of the AES encryption algorithm adopts a formula of c=e (K, P), where C is the encrypted ciphertext, K is the key, P is the plaintext, and E is the encryption function; the decryption process adopts the formula of P=D (K, P), wherein D is a decryption function, and the decryption process is the inverse operation of the encryption process.
S2, the electric digital signals processed by the electric digital data encryption module are transmitted to the electric digital data processing module to be decrypted, extracted, calculated, transformed, stored and transmitted, and the data processing efficiency is improved by adopting a shared memory mode;
in this embodiment, it is specifically described that the shared memory is a memory storage for processing data by each module in the electric digital data processing device to quickly access, and is used for data communication and information transmission by a plurality of modules, where the electric digital data processing module uses a shmctl function, that is, can perform electric digital data processing operation on the shared memory, and the shmctl function can use an edit operation code to perform representation, as follows
#include
int shmctl( int shm_id, int cmd, struct shmid_ds *buf );
The parameter shmid in the function is an identifier of the shared memory segment to be operated on.
S3, monitoring the processing information of the electric digital data processing module in real time by utilizing an electric digital data online monitoring and analyzing module, and carrying out data analysis by adopting an improved 53H algorithm and processing by adopting an abnormal electric data correction algorithm;
in this embodiment, it is specifically described that the correction algorithm uses a mean value correction method to correct the monitored abnormal electric digital data signal and the predicted value according to the variance, the electric digital parameter and the weight value, so as to reduce the deviation of the electric digital data.
And S4, finally, the algorithm and the model used in the electric digital data processing process in the electric digital data processing device are intelligently updated and upgraded by utilizing the self-adaptive upgrading electric digital data processing module and are memorized in an editable memory, so that the accuracy and the efficiency of electric digital data processing are improved.
In the embodiment shown in fig. 7, it is specifically illustrated that the improved 53H algorithm is implemented by performing iterative smoothing on an original sequence of electric digital data to obtain non-smooth points at the beginning and the end of the original sequence, wherein the points with deviations are mutation points, and the smooth values are used for replacing the new sequence to monitor the information of the electric digital data and smooth interference signals on line, so as to reject abnormal electric digital data;
the improved 53H algorithm comprises the following specific steps:
a1, assuming that the data sequence measured online is x (i), constructing a new sequence x1 (i) according to the x (i), wherein the method comprises the following steps: selecting a median value from x (1), x (2), x (3), x (4) and x (5) as x1 (3), selecting the median value from x (2), x (3), x (4), x (5) and x (6) as x1 (4), and the like until the current data x (i);
a2, selecting a median value from 3 adjacent data in x1 (j) to form x2 (k);
a3, finally, the sequence x2 (k) is used for forming x3 (l), wherein x3 (l) =0.25, x2 (l-1) +0.5, x2 (l) +0.25 and x2 (l+1) in the following way;
a4, if the following formula is established, replacing x (l) with x3 (l), wherein, the I x3 (l) -x (l) I is more than T, and T is a certain threshold value; the algorithm does not get an effective smoothing of the first 4 and last 4 data of the data;
a5, arranging the first 8 data points and the last 8 data points of the x (i) in an inverse order, and generating a sequence x' (i) by the rest data unchanged; repeating the previous steps for sequence x ' (i) to form a new sequence x3' (l), replacing x (4), x (3), x3' (2), x (1), x (l), x (l-1), x (l-2), x (l-3) in sequence x (i) with x3' (5), x3' (6), x '3 (l-7) x3' (l-7), x '3 (l-6) x3' (l-6), x '3 (l-5) x3' (l-4) in the new sequence, respectively; for real-time smoothing purposes, x3 (l) and x '3 (l) x3' (l) may be calculated in parallel.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (9)

1. An electrical digital data processing apparatus, characterized by: the system comprises an electric digital signal communication module, an electric digital data encryption module, an electric digital data processing module, an electric digital data storage module, an electric digital data online monitoring and analyzing module and a self-adaptive upgrading electric digital data processing module, wherein the electric digital signal communication module adopts a wireless communication technology, utilizes an electric data transmission protocol interface to perform data transmission and is used for acquiring electric digital data signals in an electric digital data processing device and transmitting the electric digital data signals to the electric digital data encryption module; the electric digital data encryption module is used for encrypting the electric digital data signals received by the electric digital signal communication module, transmitting the encrypted data signals to the electric digital data processing module for further electric digital data processing, and improving the accuracy of the received electric digital data signals and avoiding interference signal noise from being mixed into source electric digital data; the electric digital data processing module is used for receiving the electric digital data information encrypted by the electric digital data encryption module, decrypting the electric digital data information by utilizing a corresponding secret key to obtain source electric digital data information, and normalizing, classifying and transmitting the source electric digital data information; the electric digital data on-line monitoring and analyzing module is used for monitoring electric digital data signals in real time and analyzing and processing abnormal electric digital data in the process of processing the electric digital data by the electric digital data processing module, and the electric digital data on-line monitoring and analyzing module and the electric digital data processing module are mutually synergistic modules; the self-adaptive upgrade electric digital data processing module adopts a machine learning technology to carry out self-adaptive control on algorithms, models and monitoring and correcting abnormal data methods related to the electric digital data processing process, and upgrades the electric digital data processing method.
2. An electrical digital data processing apparatus according to claim 1, wherein: the electric digital signal communication module comprises an electric digital data transmission communication interface unit and an electric digital data signal acquisition unit, wherein the electric digital data transmission communication interface unit is used for carrying out data communication transmission on a serial communication interface by adopting a TCP/IP protocol and is used for transmitting electric digital data signals; the electric digital data signal acquisition unit consists of an analog-to-digital converter ADC and a digital signal processing chip DSP and is used for acquiring and receiving electric digital data information transmitted by the electric digital data transmission communication interface unit.
3. An electrical digital data processing apparatus according to claim 1, wherein: the encryption algorithm unit adopts symmetric encryption algorithm AES to output a ciphertext form of a received plaintext of the electric digital data signal through encryption transformation, and the encryption transformation process is an encryption algorithm; after the AES encryption algorithm is agreed, the electric digital data processing module receives ciphertext information transmitted by the electric digital data encryption module, and then decrypts the ciphertext information by using a key to obtain a corresponding electric digital data signal plaintext for encryption and decryption; the SSL protocol transmission encryption data unit uses an AES encryption technology to ensure that information cannot be stolen and interference signals cannot be received in the electric digital data transmission process, and is used for transmitting ciphertext.
4. An electrical digital data processing apparatus according to claim 1, wherein: the electric digital data processing module comprises an encrypted data receiving and cracking unit, an ANN neural network algorithm classification electric digital data unit, an electric digital data conversion processing unit and an electric data multichannel transmission unit, wherein the encrypted data receiving and cracking unit is used for cracking ciphertext of electric digital data by using an AES key to obtain electric digital data plaintext and used for decryption; the ANN neural network algorithm classification electric digital data unit is used for classifying the electric digital data decrypted by the encrypted data receiving and decrypting unit by utilizing an artificial neural network technology; the electrical digital data conversion processing unit is used for converting the electrical digital data classified in the ANN neural network algorithm classified electrical digital data unit into the same data format for transmission to the electrical data multichannel transmission unit; the electric data multi-channel transmission unit adopts a plurality of data transmission channels, so that electric digital data are transmitted in parallel.
5. An electrical digital data processing apparatus according to claim 1, wherein: the electric digital data storage module comprises a real-time monitoring abnormal electric digital data unit, an abnormal electric digital data correction unit and an electric digital data analysis unit, wherein the real-time monitoring abnormal electric digital data unit is used for monitoring processing data in the electric digital data processing module on line by a memory sharing method; the abnormal electricity correction digital data unit is used for monitoring abnormal electricity digital data signals of the abnormal electricity digital data unit in real time in the monitoring process, extracting abnormal electricity data and carrying out correction processing by using a correction algorithm; the analysis electric digital data unit is used for analyzing and processing electric digital data monitored in real time by the real-time abnormal electric digital data unit.
6. An electrical digital data processing apparatus according to claim 1, wherein: the electric digital data on-line monitoring analysis module comprises an adaptive LMS algorithm processing unit, a machine learning optimization upgrading unit and an adaptive control electric digital data processing unit, wherein the adaptive LMS algorithm processing unit is used for enabling the mean square value of error between an output signal of a filter and an expected response to be minimum, and an adopted formula is thatWherein E is a mean square error,for the desired response, W is the defined weight vector, ">The signal is an error signal and is used for adaptively filtering and removing noise interference signals; the machine learning optimization upgrading unit adopts a machineTraining the number of samples of the expected output value by using a learning technology, finding out a proper weight vector W so as to minimize the mean square value of the error, solving a bias guide for the weight vector W by using the minimum mean square value of the error, solving an extremum corresponding to the mean square value of the error when the bias guide value is zero, and then regulating the weight vector W by using the extremum to correct the weight value; the self-adaptive control electric digital data processing unit processes electric digital data according to the self-adaptive LMS algorithm processing unit and the machine learning optimization upgrading unit, and a decision instruction is adopted after the dynamic characteristics of the object are identified for automatically adjusting and controlling the electric digital data processing process.
7. An electrical digital data processing apparatus according to claim 1, wherein: the self-adaptive upgrade electric digital data processing module comprises an I/O electric digital data transmission unit and a ROM storage electric digital data unit, wherein the I/O electric digital data transmission unit is an input/output channel unit of electric digital data and is used for transmitting electric digital data information of other modules and an algorithm for processing the electric digital data; the ROM stores electric digital data unit composed of read-only memory for fixing program running in electric digital data processor and storing electric digital data, wherein ROM is composed of address decoder, memory bank, readout line and readout amplifier, the processor sends the address of memory unit to be accessed through address bus, the address decoder selects the memory word line according to the input address code, then the address decoder drives the address bus of the memory word line to read out the binary code of the memory unit address.
8. A method of processing an electric digital data processing apparatus according to any one of claims 1 to 7, characterized in that: the method specifically comprises the following steps:
s1, firstly, acquiring effective information of digital data through an electric digital signal communication module, and encrypting the received electric digital signal in an encryption mode;
s2, the electric digital signals processed by the electric digital data encryption module are transmitted to the electric digital data processing module to be decrypted, extracted, calculated, transformed, stored and transmitted, and a shared memory mode is adopted;
s3, monitoring the processing information of the electric digital data processing module in real time by utilizing an electric digital data online monitoring and analyzing module, and carrying out data analysis by adopting an improved 53H algorithm and processing by adopting an abnormal electric data correction algorithm;
and S4, finally, the self-adaptive upgrade electric digital data processing module is used for intelligently updating and upgrading an algorithm and a model used in the electric digital data processing process in the electric digital data processing device, and the algorithm and the model are memorized in an editable memory.
9. A method of processing an electrical digital data processing apparatus as claimed in claim 8, wherein: the improved 53H algorithm is to carry out iterative repeated smoothing treatment on an original sequence of the electric digital data to obtain non-smooth points at the head and the tail of the original sequence, wherein the points with deviation are mutation points, and the smooth values are used for replacing and forming a new sequence for online monitoring of electric digital data information and smooth interference signals and eliminating abnormal electric digital data.
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