CN116827351A - Intelligent monitoring system for temperature of graphene heating wall surface - Google Patents
Intelligent monitoring system for temperature of graphene heating wall surface Download PDFInfo
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- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
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Abstract
The invention relates to the technical field of data compression, in particular to an intelligent monitoring system for temperature of a graphene heating wall surface, which comprises the following components: the device comprises a data preprocessing module, an initialization dictionary module, an encoding module and a decompression analysis module, wherein an initial data sequence of graphene heating wall temperature data is obtained; initializing a dictionary; reading characters in the initial data sequence to encode: acquiring a merging character string; acquiring a first character string to be selected and a second character string to be selected; acquiring the coding preference of the combined character string according to the occurrence frequency of the first character string to be selected and the second character string to be selected in the initial data sequence; acquiring a character string to be encoded according to the encoding preference, and encoding the character string to be encoded; updating the dictionary; reading characters in the initial data sequence, coding, and obtaining compressed data of the graphene heating wall surface temperature data; decompressing compressed data of the graphene heating wall surface temperature data and analyzing. The intelligent monitoring system and the intelligent monitoring method for the temperature of the graphene heating wall surface improve the intelligent monitoring efficiency of the temperature of the graphene heating wall surface.
Description
Technical Field
The invention relates to the technical field of data compression, in particular to an intelligent monitoring system for temperature of a graphene heating wall surface.
Background
Graphene is a new material with a single-layer two-dimensional honeycomb lattice structure formed by closely stacking sp hybridized connected carbon atoms, has excellent optical, electrical and mechanical properties, has important application prospects in the aspects of materiality, micro-nano processing, energy sources, biomedicine, drug delivery and the like, and is considered as a revolutionary material in the future. The graphene heating wall surface is a product heated by using a graphene material, and can be manufactured into the heating wall surface material by combining the graphene material with the wall surface material, so that the heating wall surface material is heated under the condition of power supply, and the heating and heat preservation effects are exerted. The intelligent monitoring system for the temperature of the heating wall surface of the graphene can acquire the temperature of the heating wall surface of the graphene through a temperature sensor, and the temperature is transmitted to the system for decompression analysis through data compression, so that the working state of the heating wall surface of the graphene is acquired, and the abnormal condition is found and processed in time.
LZW coding is a common lossless compression algorithm, because LZW coding uses a dynamic dictionary technology, temperature change has instability, the number of repeating units in the obtained graphene heating wall temperature data is small, a plurality of character strings need to be added into the dictionary when the dictionary is built, the dictionary is longer due to the fact that the character strings added into the dictionary are too many, indexes of later elements in the dictionary are larger, data are compressed by utilizing index values of the elements in the dictionary in the compression process, partial data values in the compressed data are larger, the length is longer after the conversion into binary, compression efficiency is lower, and intelligent monitoring efficiency on the graphene heating wall temperature is affected.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent monitoring system for the temperature of a graphene heating wall surface.
The intelligent monitoring system for the temperature of the graphene heating wall surface adopts the following technical scheme:
the embodiment of the invention provides an intelligent monitoring system for the temperature of a graphene heating wall surface, which comprises the following modules:
the data preprocessing module is used for acquiring temperature data of the graphene heating wall surface and preprocessing the temperature data to obtain an initial data sequence;
the initialization dictionary module is used for initializing a dictionary according to all character types appearing in the initial data sequence;
the coding module is used for reading characters in the initial data sequence to code, and comprises the following steps:
acquiring a combined character string according to characters contained in the character string or continuity of the character string in a dictionary; acquiring a first character string to be selected and a second character string to be selected according to the short character string and the initial data sequence contained in the combined character string; acquiring the occurrence frequency of a first character string to be selected in an initial data sequence and the occurrence frequency of a second character string to be selected in the initial data sequence; acquiring the coding preference of the combined character string according to the occurrence frequency of the first character string to be selected in the initial data sequence and the occurrence frequency of the second character string to be selected in the initial data sequence; acquiring a character string to be encoded according to the encoding preference, and encoding the character string to be encoded; screening character strings added into the dictionary according to the coding preference, and updating the dictionary; removing the character string to be coded from the initial data sequence;
continuously reading characters in the initial data sequence to encode, and taking the encoding results of all character strings to be encoded as compressed data of the temperature data of the graphene heating wall surface;
the transmission decompression module is used for transmitting compressed data of the temperature data of the graphene heating wall surface, and the decompressed data are used for obtaining the temperature data of the graphene heating wall surface;
the intelligent monitoring module is used for monitoring data abnormality according to the temperature data of the heating wall surface of the graphene and ensuring safe use of the heating wall surface of the graphene.
Preferably, the method for obtaining the combined character string according to the character contained in the character string or the continuity of the character string in the dictionary includes the following specific steps:
performing longest matching in the initial data sequence according to the dictionary, and marking the matched character string as a prefix character string; taking the prefix character string as a matching character string;
performing extended matching operation according to the matching character string, including:
acquiring the next row of characters or character strings of the matched character strings in the dictionary as extension character strings, and recording the length of the extension character strings asThe character at the end of the prefix string is combined with +.>The character string formed by the characters is marked as a character string to be matched; when the character strings to be matched are the same as the extension character strings, the character strings to be matched are used as new matching character strings;
repeating the extended matching operation according to the new matching character string until the latest character string to be matched is not identical with the latest extended character string;
removing the first character in each matching character string except the first matching character string to realize updating of the matching character strings; and splicing all the matching character strings together in sequence to obtain a combined character string.
Preferably, the method for obtaining the first character string to be selected includes:
and combining the next character of the initial character string in the initial data sequence with the initial character string to obtain a first character string to be selected.
Preferably, the method for obtaining the second candidate character string includes:
and merging the next character of the merging character string in the initial data sequence with the merging character string to obtain a second character string to be selected.
Preferably, the specific calculation formula of the coding preference is as follows:
wherein ,for merging character strings->Coding preference of>For the frequency of occurrence of the second candidate string in the initial data sequence, < >>Representing the frequency of occurrence of the first string of characters to be selected in the initial data sequence.
Preferably, the method for obtaining the character string to be encoded according to the encoding preference includes the following specific steps:
if the coding preference of the combined character string is greater than a preset coding preference threshold, the combined character string is used as the character string to be coded; and if the coding preference of the combined character string is smaller than or equal to a preset coding preference threshold, taking the initial character string as the character string to be coded.
Preferably, the method for encoding the character string to be encoded includes the following specific steps:
if the character string to be encoded is a combined character string, the serial number of the initial character string in the dictionary and the number of the matched character strings forming the combined character string are used as a numerical value pair to be used as the encoding result of the character string to be encoded; if the character string to be encoded is the initial character string, the serial number of the initial character string in the dictionary is used as the encoding result of the character string to be encoded.
Preferably, the method for filtering the character strings added into the dictionary according to the coding preference and updating the dictionary includes the following specific steps:
if the coding preference of the combined character strings is greater than or equal to a preset coding preference threshold, adding a second character string to be selected into the dictionary; if the coding priority of the combined character strings is smaller than a preset coding priority threshold, adding the first character string to be selected into a dictionary.
Preferably, the monitoring data of the temperature data of the heating wall surface according to the graphene is abnormal, and the specific method comprises the following steps:
when the temperature data of the graphene heating wall exceeds a preset temperature threshold, the working state of the graphene heating wall is automatically stopped, and meanwhile, the intelligent monitoring system triggers an alarm mechanism to prompt a user that the temperature is abnormal in a mobile phone pushing mode.
Preferably, the initializing dictionary according to all character types appearing in the initial data sequence includes the following specific methods:
creating an empty dictionary, wherein the dictionary comprises a code Duan Lie and a sequence number column, sequentially filling all characters appearing in an initial data sequence into a code segment column of the dictionary, setting sequence numbers for all characters in the dictionary, and sequentially increasing the sequence numbers from 0 to realize initialization of the dictionary.
The technical scheme of the invention has the beneficial effects that: acquiring graphene heating wall temperature data to generate an initial data sequence, initializing a dictionary according to characters in the initial data sequence, and matching the initial data sequence according to characters or character strings of continuous multiple rows in the dictionary to obtain a combined character string, wherein the combined character string has a longer length than a character string to be coded in an LZW coding algorithm, and the combined character string can be coded to realize that longer data is compressed into shorter codes, so that the coding efficiency of local character strings in the initial data sequence is greatly improved; according to the invention, the coding preference of the combined character string is obtained according to the frequency of occurrence of the second character string to be selected corresponding to the combined character string and the frequency of occurrence of the first character string to be selected corresponding to the first matching character string in the combined character string, the character string to be coded is obtained according to the coding preference, and the character string to be added into the dictionary is obtained, so that the frequency of occurrence of the character string to be added into the dictionary is ensured to be high, more character strings after the character string to be coded in the initial data sequence can be coded by utilizing the serial numbers of the character strings to be added into the dictionary at the moment, and the integral compression efficiency of the initial data sequence is further improved. The invention ensures the local compression efficiency of the initial data sequence, improves the overall compression efficiency, and has better compression effect compared with the traditional LZW coding. According to the invention, the compression efficiency of the graphene heating wall surface temperature data is improved, so that the transmission efficiency of the graphene heating wall surface temperature data in an intelligent monitoring system is improved, and the real-time performance of intelligent monitoring of the graphene heating wall surface temperature and the accuracy of anomaly identification are ensured.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a structural block diagram of an intelligent monitoring system for temperature of a graphene heating wall surface.
Detailed Description
In order to further explain the technical means and effects adopted by the invention to achieve the preset aim, the following is a detailed description of specific implementation, structure, characteristics and effects of the intelligent monitoring system for the temperature of the graphene heating wall surface according to the invention in combination with the accompanying drawings and the preferred embodiment. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a specific scheme of an intelligent monitoring system for the temperature of a graphene heating wall surface, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a block diagram of a graphene heating wall temperature intelligent monitoring system according to an embodiment of the present invention is shown, where the system includes the following modules:
and the data preprocessing module 101 is used for acquiring temperature data of the graphene heating wall surface by using a temperature sensor and preprocessing the temperature data to acquire an initial data sequence.
It should be noted that, the distribution characteristics of the graphene heating wall surface temperature data collected by the temperature sensor are affected by multiple factors, and the heating plate always heats, so that the temperature data collected by the sensor changes smoothly, and the obtained temperature data have smaller phase difference but low repetition rate based on up-and-down fluctuation of a certain standard temperature. Due toCoding algorithm based on data repeatabilityLine coding, if the acquired data is directly +.>The encoding effect is poor, so that the acquired graphene heating wall surface temperature data is preprocessed, and an initial data sequence with high repetition rate is obtained, so that the subsequent processing is facilitated.
When the collected graphene heating wall surface temperature data is preprocessed, a standard temperature is preset firstIn this embodiment->For the purposes of illustration, for->Other embodiments can set +.>. And then acquiring the difference value between the acquired temperature data and the standard temperature, constructing an initial data sequence by using each difference value and positive and negative marks thereof which are arranged in sequence, and marking the standard temperature at the same time.
So far, the initial data sequence of the graphene heating wall surface temperature data is obtained.
The initialization dictionary module 102 initializes the dictionary based on all character types that occur in the initial data sequence.
In addition, according toThe coding algorithm, each character appearing in the initial data sequence corresponds to a short code, usually an integer, so this embodiment traverses the initial data sequence, acquires all characters appearing in the sequence, creates a blank dictionary divided into code segments and sequence number columns, fills all acquired characters into the corresponding rows of the code Duan Lie in sequence, sets sequence numbers for all acquired characters, increases the sequence numbers from 0 in sequence untilThe dictionary contains all the single characters appearing in the initial data sequence, and each single character corresponds to a unique serial number, so that the initialization of the dictionary is realized.
And the coding module 103 reads in the initial data sequence, calculates the coding preference of the matched new character string, and codes the character string in different forms according to the coding preference to obtain a coding result.
It should be noted that, due to the local similarity of the temperature of the graphene heating wall surface, when the initial data sequence is read, the long character string appearing after the initial data sequence may be formed by a plurality of character strings in the dictionary, so that the embodiment first obtains the long character string that may be formed by the short character string existing in the dictionary.
In this embodiment, the longest match is performed in the initial data sequence according to the dictionary, and the matched character string is denoted as a prefix character string. The prefix string is taken as a matching string.
Performing extended matching operation according to the matching character string, including:
acquiring the next row of characters or character strings of the matched character strings in the dictionary as extension character strings, and recording the length of the extension character strings asThe character at the end of the prefix string is combined with +.>And marking the character string formed by the characters as a character string to be matched, and taking the character string to be matched as a new matching character string when the character string to be matched is identical to the extension character string.
And repeating the extended matching operation according to the new matched character string until the latest character string to be matched is different from the latest extended character string, and stopping iteration.
And eliminating the first character in each matching character string except the first matching character string, and realizing the updating of the matching character strings.
And splicing all the matching character strings together in sequence to obtain a combined character string.
Note that, the merging string is composed of a plurality of short strings existing in the dictionary, and the last character of the preceding short string of the two adjacent short strings is the first character of the following short string, so that there is a case of repeated division in the process of dividing the long string into a plurality of short strings, and therefore, attention is required to perform deduplication on the obtained code segment in the process of decoding analysis.
It should be noted that, if the combined string is encoded, a string composed of the combined string and one character after the combined string in the initial data sequence needs to be added to the dictionary, becauseThe encoding algorithm compresses based on the repeatability of the data. Therefore, it is necessary to determine a character string composed of a merging character string and one character after the merging character string in the initial data sequence, quantize the coding preference of the merging character string by the initial data sequence with the frequency of the repeated occurrence of the character string, and determine the coding mode of the merging character string according to the coding preference result.
Therefore, the embodiment obtains the coding preference of the merging character string, and the implementation process is as follows:
recording the combined character string in the initial data sequence asAnd taking the prefix character string contained in the combined character string as an initial character string, and recording a character string formed by combining the initial character string and one character of the initial character string after the initial data sequence as a first character string to be selected. Traversing the initial data sequence to obtain the occurrence frequency of the first character string to be selected>. And marking a new character string formed by the combined character string and the character thereof after the initial data sequence as a second character string to be selected. Traversing the initial data sequence to obtain the occurrence frequency of the second character string to be selected>。
It should be noted that, the length of the merging string is longer than that of the initial string, and the encoding of the merging string can make the compression efficiency of the current local better. Due toThe encoding is to encode the subsequent character strings according to the character strings added into the dictionary, although the merging character strings can improve the local compression efficiency, in the initial data sequence, the second character string to be selected corresponding to the merging character strings may not be repeated, the first character string to be selected corresponding to the first short character string contained in the merging character strings may have higher frequency of subsequent occurrence, at this time, the merging character strings are encoded, and the addition of the second character string to be selected into the dictionary can improve the local compression efficiency, but can affect the overall compression efficiency of the graphene heating wall temperature data.
It should be further described that, in order to shorten the dictionary as much as possible, improve the local compression efficiency and ensure that the overall compression efficiency is also improved, the first to-be-selected character string and the second to-be-selected character string need to be judged, because the occurrence frequency of the second to-be-selected character string corresponding to the merged character string in the initial data sequence is always lower than that of the first to-be-selected character string in the initial data sequence, if the ratio of the occurrence frequency of the second to-be-selected character string in the initial data sequence to the occurrence frequency of the first to-be-selected character string in the initial data sequence is larger, it is described that adding the second to-be-selected character string into the dictionary to encode the merged character string can improve the overall and local compression efficiency while shortening the dictionary; otherwise, the occurrence frequency of the second character string to be selected in the initial data sequence is lower, and the dictionary length is shortened by adding the second character string to be selected into the dictionary, but the overall compression efficiency is affected.
In this embodiment, therefore, the coding preference of the combined string is obtained by using the frequency of occurrence of the second character to be selected in the initial data sequence and the frequency of occurrence of the first character to be selected in the initial data sequence, and the specific calculation formula is as follows:
wherein ,for merging character strings->Coding preference of>For the frequency of occurrence of the second candidate string in the initial data sequence, < >>Representing the frequency of occurrence of the first string of characters to be selected in the initial data sequence.
The greater the encoding preference of the merging character string is, the higher the occurrence frequency of the second character string to be selected corresponding to the merging character string in the initial data sequence is, and the higher the occurrence frequency of the second character string to be selected is, the merging character string corresponding to the second character string is taken as the character string to be encoded, so that the compression efficiency of the graphene heating wall temperature data is improved; on the contrary, the smaller the coding preference of the combined character string is, the higher the occurrence frequency of the first character string to be selected in the initial data sequence is, and the short character string corresponding to the first character string to be coded is used as the character string to be coded, so that the overall compression efficiency of the graphene heating wall temperature data can be ensured not to be reduced.
Thus in this embodiment, by setting the coding preference thresholdJudging whether the first character string to be selected or the second character string with drills is selected as the character string to be encoded, and when the encoding preference of the combined character string is greater than or equal to +.>At the same time, the second character string to be selected is described as being initialThe occurrence frequency in the data sequence is higher, and the merging character string corresponding to the second character string to be coded is used as the character string to be coded; when the coding preference of the merging string is smaller than +.>When the frequency of the first character string to be selected in the initial data sequence is higher, the short character string corresponding to the first character string to be selected is used as the character string to be encoded, and the embodiment usesFor the purposes of illustration, for->And are not limited.
It should be noted that, after the character strings are to be encoded, the character strings to be encoded need to be encoded, and the combined character strings can be combined from the short character strings continuously appearing in the dictionary, so that when the combined character strings are encoded, in order to shorten the codeword length as much as possible and ensure correct decoding, the encoding result can be obtained by the serial numbers of the initial character strings contained in the combined character strings in the dictionary and the number of the short character strings continuously appearing in the dictionary forming the combined character strings, thereby improving the compression efficiency of local data.
Therefore, in this embodiment, if the character string to be encoded is a combined character string, the number of the initial character string in the dictionary and the number of the matching character strings forming the combined character string are used as a numeric pair, and are used as the encoding result of the character string to be encoded; if the character string to be encoded is the initial character string, the serial number of the initial character string in the dictionary is used as the encoding result of the character string to be encoded.
It should be noted that, if the encoding preference of the merging string is high, it is indicated that the occurrence frequency of the second to-be-selected character string corresponding to the merging string in the initial data sequence is high, and then the usage rate of the second to-be-selected character string in the subsequent encoding process is higher, and the necessity of adding the second to-be-selected character string into the dictionary is higher; otherwise, the occurrence frequency of the first character string to be selected corresponding to the initial character string in the initial data sequence is higher, and the necessity of adding the first character string to the dictionary is high.
Therefore, in this embodiment, the character strings added into the dictionary are screened by the coding preference threshold, when the coding preference of the combined character strings is greater than or equal to the coding preference threshold, the second character string to be selected corresponding to the combined character string is added into the dictionary, and otherwise, the first character string to be selected is added into the dictionary.
At this time, the character string to be encoded is removed from the initial data sequence, so that the initial data sequence is updated.
And continuously reading characters in the new initial data sequence, calculating the coding preference of the merging character strings after matching one merging character string, comparing the coding preference with a coding preference threshold value, determining the coding mode of the character strings to be coded, updating the dictionary, and repeating the process until the initial data sequence is empty, and stopping iteration.
And taking the coding results of all character strings to be coded as compressed data of the temperature data of the graphene heating wall surface.
So far, the compressed data of the temperature data of the graphene heating wall surface are obtained.
And the transmission decompression module 104 is used for transmitting and decompressing the compressed data of the temperature data of the graphene heating wall surface to obtain the temperature data of the graphene heating wall surface.
The compressed data of the graphene heating wall surface temperature data are obtained through the modules, the data are transmitted and decompressed based on the intelligent monitoring system, and the dictionary is restored while decoding during decompression. The decoding process is as follows:
compressed data is input, wherein the compressed data is a data sequence, and each element in the compressed data corresponds to a character or character string. Reading from the first element in the compressed data:
1. if the read-in element is a single numerical value, the corresponding character or character string can be directly found in the dictionary: and taking the character or character string corresponding to the read element in the dictionary as the decoding result of the element.
Updating the dictionary according to the decoding result and the next element in the compressed data, specifically:
taking the decoding result as a prefix, continuing to read in the next element in the compressed data, if the next element is a single numerical value, when the next element is in the dictionary, acquiring the first character of a character or a character string corresponding to the next element in the dictionary as a suffix character, and when the next element is not in the dictionary, taking the first character of the prefix as the suffix character; and if the next element is a value pair, taking the first character of the character or the character string corresponding to the first value in the value pair in the dictionary as a suffix character.
And adding the character strings spliced together by the prefix character and the suffix character into a dictionary.
2. If the read element is a numerical value pair:
the first numerical value in the numerical value pair can find the corresponding character or character string in the dictionary, so that the character or character string corresponding to the first numerical value in the numerical value pair is found in the dictionary, the second numerical value in the numerical value pair represents the number of the short character strings continuously appearing in the dictionary forming the combined character string, the second numerical value in the numerical value pair is marked as s, s-1 character strings after the character or character string corresponding to the first numerical value in the dictionary are obtained, and the character or character string corresponding to the first numerical value is combined with the s-1 character strings after the dictionary to obtain a decoding result. It should be noted that, in the compression process, when the merging string is acquired, the first character of the matching string forming the merging string is removed before removal, the last character of the previous matching string in the two adjacent matching strings is the same as the last character of the next matching string, and correspondingly, when the character or the string corresponding to the first numerical value is combined with the s-1 character strings after the dictionary, the first character of the s-1 character strings after the first character string is removed and then combined.
And updating the dictionary according to the decoding result and the next element in the compressed data.
And continuously reading in the compressed data of the graphene heating wall surface temperature data, decoding until all elements in the compressed data are decoded, stopping iteration, and forming an initial data sequence of the graphene heating wall surface temperature data by the decoding results of all elements in the compressed data.
And acquiring temperature data of the graphene heating wall surface according to the initial data sequence. So far, the temperature data of the graphene heating wall surface are obtained.
The intelligent monitoring module 105 monitors data abnormality according to the temperature data of the heating wall surface of the graphene, and ensures safe use of the heating wall surface of the graphene.
According to the obtained graphene heating wall surface temperature data and a temperature threshold preset by a user, the embodiment uses the temperature threshold of 90 ℃ as an example to explain, the temperature threshold is not limited, and other embodiments can be set according to actual conditions. And controlling the working state of the graphene heating wall surface according to a preset temperature threshold, including opening, closing, adjusting heating power and the like, displaying an interface finally, providing an interface for interaction between a user and the intelligent detection system, and when the temperature of the graphene heating wall surface exceeds the preset temperature threshold, automatically triggering an alarm by the intelligent detection system, reminding the user in a mobile phone pushing mode, and simultaneously taking corresponding protection measures, such as automatic power-off or heating power reduction, so as to ensure safe use.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The intelligent monitoring system for the temperature of the graphene heating wall surface is characterized by comprising the following modules:
the data preprocessing module is used for acquiring temperature data of the graphene heating wall surface and preprocessing the temperature data to obtain an initial data sequence;
the initialization dictionary module is used for initializing a dictionary according to all character types appearing in the initial data sequence;
the coding module is used for reading characters in the initial data sequence to code, and comprises the following steps:
acquiring a combined character string according to characters contained in the character string or continuity of the character string in a dictionary; acquiring a first character string to be selected and a second character string to be selected according to the short character string and the initial data sequence contained in the combined character string; acquiring the occurrence frequency of a first character string to be selected in an initial data sequence and the occurrence frequency of a second character string to be selected in the initial data sequence; acquiring the coding preference of the combined character string according to the occurrence frequency of the first character string to be selected in the initial data sequence and the occurrence frequency of the second character string to be selected in the initial data sequence; acquiring a character string to be encoded according to the encoding preference, and encoding the character string to be encoded; screening character strings added into the dictionary according to the coding preference, and updating the dictionary; removing the character string to be coded from the initial data sequence;
continuously reading characters in the initial data sequence to encode, and taking the encoding results of all character strings to be encoded as compressed data of the temperature data of the graphene heating wall surface;
the transmission decompression module is used for transmitting compressed data of the temperature data of the graphene heating wall surface, and the decompressed data are used for obtaining the temperature data of the graphene heating wall surface;
the intelligent monitoring module is used for monitoring data abnormality according to the temperature data of the heating wall surface of the graphene and ensuring safe use of the heating wall surface of the graphene.
2. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the method for obtaining the combined character string according to characters contained in the character string or continuity of the character string in a dictionary comprises the following specific steps:
performing longest matching in the initial data sequence according to the dictionary, and marking the matched character string as a prefix character string; taking the prefix character string as a matching character string;
performing extended matching operation according to the matching character string, including:
acquiring the next row of characters or character strings of the matched character strings in the dictionary as extension character strings, and recording the length of the extension character strings asThe character at the end of the prefix string is combined with +.>The character string formed by the characters is marked as a character string to be matched; when the character strings to be matched are the same as the extension character strings, the character strings to be matched are used as new matching character strings;
repeating the extended matching operation according to the new matching character string until the latest character string to be matched is not identical with the latest extended character string;
removing the first character in each matching character string except the first matching character string to realize updating of the matching character strings; and splicing all the matching character strings together in sequence to obtain a combined character string.
3. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 2, wherein the method for acquiring the first character string to be selected is as follows:
and combining the next character of the initial character string in the initial data sequence with the initial character string to obtain a first character string to be selected.
4. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the method for acquiring the second character string to be selected is as follows:
and merging the next character of the merging character string in the initial data sequence with the merging character string to obtain a second character string to be selected.
5. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the specific calculation formula of the coding preference is as follows:
wherein ,for merging character strings->Coding preference of>For the frequency of occurrence of the second candidate string in the initial data sequence, < >>Representing the frequency of occurrence of the first string of characters to be selected in the initial data sequence.
6. The intelligent monitoring system for the temperature of the graphene heating wall surface according to claim 1, wherein the method for acquiring the character string to be encoded according to the encoding preference comprises the following specific steps:
if the coding preference of the combined character string is greater than a preset coding preference threshold, the combined character string is used as the character string to be coded; and if the coding preference of the combined character string is smaller than or equal to a preset coding preference threshold, taking the initial character string as the character string to be coded.
7. The intelligent monitoring system for the temperature of the graphene heating wall surface according to claim 6, wherein the character string to be encoded is encoded, and the specific method comprises the following steps:
if the character string to be encoded is a combined character string, the serial number of the initial character string in the dictionary and the number of the matched character strings forming the combined character string are used as a numerical value pair to be used as the encoding result of the character string to be encoded; if the character string to be encoded is the initial character string, the serial number of the initial character string in the dictionary is used as the encoding result of the character string to be encoded.
8. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the character strings added into a dictionary are screened according to the coding preference, the dictionary is updated, and the specific method comprises the following steps:
if the coding preference of the combined character strings is greater than or equal to a preset coding preference threshold, adding a second character string to be selected into the dictionary; if the coding priority of the combined character strings is smaller than a preset coding priority threshold, adding the first character string to be selected into a dictionary.
9. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the monitoring data is abnormal according to the temperature data of the graphene heating wall surface, and the method comprises the following specific steps:
when the temperature data of the graphene heating wall exceeds a preset temperature threshold, the working state of the graphene heating wall is automatically stopped, and meanwhile, the intelligent monitoring system triggers an alarm mechanism to prompt a user that the temperature is abnormal in a mobile phone pushing mode.
10. The intelligent monitoring system for temperature of a graphene heating wall surface according to claim 1, wherein the initializing dictionary according to all character types appearing in an initial data sequence comprises the following specific methods:
creating an empty dictionary, wherein the dictionary comprises a code Duan Lie and a sequence number column, sequentially filling all characters appearing in an initial data sequence into a code segment column of the dictionary, setting sequence numbers for all characters in the dictionary, and sequentially increasing the sequence numbers from 0 to realize initialization of the dictionary.
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