CN102968500A - Quick retrieving method for special treatment of flight based on layered retrieval - Google Patents
Quick retrieving method for special treatment of flight based on layered retrieval Download PDFInfo
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Abstract
The invention provides a quick retrieving method for special treatment of flight based on layered retrieval, which comprises the steps of: layering a retrieval content in Chinese and English, wherein the first layer is Chinese, using Chinese to preferably filter objects in a target database to reduce the retrieval range; the second layer is other characters expect Chinese, using the initials of Chinese Pinyin to replace Chinese characters input to text information and analyzing and comparing similarity in a retrieval result of the first layer; carrying out secondary analysis and comparison by calculating similarity, wherein the similarity comprises morphologic and word order similarities; and sequencing the retrieval results after second analysis according to the similarities with the morphologic similarity which has the main effect and the work order similarity which has the assistant effect. The similarity method is simple to realize and facilitates realization of quick retrieval.
Description
Technical field
The present invention relates to the data retrieval technology field, be specially a kind of flight managing special situation method for quickly retrieving based on the layering retrieval.
Background technology
Flight test is a cause that has risk and challenge, the unexpected great urgent dangerous situations such as normally folding and unfolding of the undercarriage that the pilot often runs in process is taken a flight test in scientific research, engine flame-out in flight, engine in-flight fire, yaw rudder fly, the safety of these characteristic serious threat pilots and aircraft.When aloft special feelings occured, how the ground control personnel to pilot's life and the safety of aircraft played conclusive effect at short notice for the pilot provides quick, accurate, complete managing special situation strategy.
The method of present special feelings emergency disposal, it mainly is the related content that relies in pilot and controHower person's memory or the flight airmanship about the special feelings of flying, and without any managing special situation method database, more without corresponding to the managing special situation information retrieval method of flight under the special feelings background.These managing special situation method database establishments are architectonical not, managing special situation information data imperfection, and data update is not in place, lacks the problems such as corresponding data retrieval method, has had a strong impact on the Accuracy and high efficiency of managing special situation.
Summary of the invention
The technical matters that solves
The problem that exists for solving prior art, the present invention proposes a kind of flight managing special situation method for quickly retrieving based on the layering retrieval, when special feelings occur, ground control personnel or Systems Operator adopt the method inquiry managing special situation method database, locate fast corresponding managing special situation procedure and step, accurately instruct decidedly fast the target pilot to take emergency measures, and then reduce efficient and the accuracy of decision-making time raising managing special situation.
Technical scheme
The principle of layering search method is among the present invention: retrieval of content is carried out Chinese and English layering, namely to the text message of input, split according to Chinese and English; Ground floor is Chinese, uses Chinese directly the target database object preferentially to be filtered, to dwindle range of search; The second layer is other characters except Chinese, uses initials in chinese pinyin that the Chinese character in the input text information is replaced, and carries out the secondary analysis comparison in the result for retrieval of ground floor; Carry out sorting according to similarity for the result for retrieval after analyzing for the second time.
Technical scheme of the present invention is:
Described a kind of flight managing special situation method for quickly retrieving based on the layering retrieval is characterized in that: may further comprise the steps:
Step 1: extract Chinese character string and English character string among the query text A of input, the Chinese character string that extracts forms Chinese word set of words A1, and the English character string that extracts forms english word set A 2;
Step 2: use the element among the Chinese word set of words A1 that managing special situation method database is retrieved, obtain result for retrieval set B=(B1, B2 ..., Bn), at least one element of Chinese word set of words A1 wherein appears in each element of B;
Step 3: the Chinese character in each element among the result for retrieval set B in the step 2 is replaced to first letter of pinyin corresponding to Chinese character, obtain new result for retrieval set C;
Step 4: each element of new result for retrieval set C and the similarity of the english word set A 2 in the step 1 in the calculation procedure 3, wherein the Elements C 1 among the new result for retrieval set C may further comprise the steps with the method for the similarity of english word set A 2:
Step 4.1: the morphology similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the morphology similarity of Elements C 1 and english word set A 2, wherein the morphology similarity WordSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
Wherein, the number of letter among len (C1) and len (a2) expression element C1 and the element a2, the number that SameWC (C1, a2) expression element a2 occurs in Elements C 1;
Step 4.2: the word order similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the word order similarity of Elements C 1 and english word set A 2, wherein the word order similarity OrdSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
If | OnceWS (C1, a2) |＞1, then
If | OnceWS (C1, a2) |=1, OrdSim (C1, a2)=1 then;
If | OnceWS (C1, a2) |=0, OrdSim (C1, a2)=0 then;
Wherein, OnceWS (C1, a2) is illustrated among Elements C 1 and the element a2 and occurs respectively and distinguish the English character set of strings that only occurs once, | OnceWS (C1, a2) | the mould of OnceWS (C1, a2) is gathered in expression; Pfirst (C1, a2) expression OnceWS (C1, a2) vector that the position number of each element in Elements C 1 consists of, the component of Psecond (C1, a2) expression Pfirst (C1, a2) is by corresponding OnceWS (C1, a2) vector that obtains after the position of each element in element a2 rearranges in, the backward number of each adjacent component of RevOrd (C1, a2) expression Psecond (C1, a2);
Step 4.3: 1 times of the λ that gets Elements C 1 that step 4.1 obtains and the morphology similarity of english word set A 2, the Elements C 1 that obtains with step 4.2 again and 2 times of summations of λ of the word order similarity of english word set A 2 obtain the similarity of Elements C 1 and english word set A 2; Wherein λ 1+ λ 2=1, and λ 1＞λ 2;
Step 5: among the new result for retrieval set C with the element of the similarity maximum of english word set A 2 as final result for retrieval.
Described a kind of flight managing special situation method for quickly retrieving based on the layering retrieval is characterized in that: step 4 is changed into:
Step 4: each element of new result for retrieval set C and the similarity of the english word set A 2 in the step 1 in the calculation procedure 3, wherein the Elements C 1 among the new result for retrieval set C may further comprise the steps with the method for the similarity of english word set A 2:
Step 4.1: the word order similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the word order similarity of Elements C 1 and english word set A 2, wherein the word order similarity OrdSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
If | OnceWS (C1, a2) |＞1, then
If | OnceWS (C1, a2) |=1, OrdSim (C1, a2)=1 then;
If | OnceWS (C1, a2) |=0, OrdSim (C1, a2)=0 then;
Wherein, OnceWS (C1, a2) is illustrated among Elements C 1 and the element a2 and occurs respectively and distinguish the English character set of strings that only occurs once, | OnceWS (C1, a2) | the mould of OnceWS (C1, a2) is gathered in expression; Pfirst (C1, a2) expression OnceWS (C1, a2) vector that the position number of each element in Elements C 1 consists of, the component of Psecond (C1, a2) expression Pfirst (C1, a2) is by corresponding OnceWS (C1, a2) vector that obtains after the position of each element in element a2 rearranges in, the backward number of each adjacent component of RevOrd (C1, a2) expression Psecond (C1, a2);
Step 4.2: the morphology similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the morphology similarity of Elements C 1 and english word set A 2, wherein the morphology similarity WordSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
Wherein, the number of letter among len (C1) and len (a2) expression element C1 and the element a2, the number that SameWC (C1, a2) expression element a2 occurs in Elements C 1;
Step 4.3: 1 times of the λ that gets Elements C 1 that step 4.2 obtains and the morphology similarity of english word set A 2, the Elements C 1 that obtains with step 4.1 again and 2 times of summations of λ of the word order similarity of english word set A 2 obtain the similarity of Elements C 1 and english word set A 2; Wherein λ 1+ λ 2=1, and λ 1＞λ 2;
Described a kind of flight managing special situation method for quickly retrieving based on the layering retrieval is characterized in that: λ 1=0.7, λ 2=0.3.
Beneficial effect
The present invention carries out Chinese and English layering with retrieval of content, ground floor is Chinese, use Chinese directly the target database object preferentially to be filtered, dwindled range of search, the second layer is other characters except Chinese, use initials in chinese pinyin that the Chinese character in the input text information is replaced, and in the result for retrieval of ground floor, carry out secondary analysis and compare, the secondary analysis comparison adopts the mode of calculating similarity to carry out, similarity comprises morphology similarity and word order similarity two parts, plays a major role with the morphology similarity, and the word order similarity plays a secondary role, similarity based method is realized simple, is conducive to realize quick-searching.
Description of drawings
Fig. 1: method flow diagram of the present invention.
Embodiment
Below in conjunction with specific embodiment the present invention is described:
The present invention can be applicable in any technical strong, excessive risk, the cycle is long, investment the is large comprehensive systems engineering, and in being taken a flight test in the field in scientific research, tries out.The below uses the example of sudden spiral dive that enforcement of the present invention is further specified:
Sudden spiral dive refers to that aircraft accelerates moving of rotation decline along precipitous spiral trajectory work, its dynamically and track and spiral decline and spiral all very approaching, the pilot is difficult to distinguish at short notice clear, in case form sudden spiral dive, often causes extremely serious consequence.Therefore, sudden spiral dive is special feelings that can not be ignored, and is the potential threat of flight safety.
Use is as follows based on the flight managing special situation method for quickly retrieving concrete steps of layering retrieval:
Step 1: the query text A that the terrestrial operation personnel input in the managing special situation system is " j spiral xj ", extract that Chinese character string among the query text A of input " spirals " and English character string " j ", " xj ", the Chinese character string that extracts forms Chinese word set of words A1, and the English character string that extracts forms english word set A 2.
Step 2: use the element among the Chinese word set of words A1 that managing special situation method database is retrieved, obtain result for retrieval set B=(B1, B2 ..., Bn), at least one element of Chinese word set of words A1 wherein appears in each element of B;
In the present embodiment, only have an element " to spiral " among the Chinese word set of words A1, by retrieval managing special situation method database, obtain result for retrieval set B, comprise two elements " rising of spiraling " and " sudden spiral dive " among the B.
Step 3: the Chinese character in each element among the result for retrieval set B in the step 2 is replaced to first letter of pinyin corresponding to Chinese character, obtain new result for retrieval set C;
In the present embodiment, set C comprises two elements " pxss " and " jpxxj ".
Step 4: each element of new result for retrieval set C and the similarity of the english word set A 2 in the step 1 in the calculation procedure 3, wherein the Elements C 1 among the new result for retrieval set C may further comprise the steps with the method for the similarity of english word set A 2:
Step 4.1: the morphology similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the morphology similarity of Elements C 1 and english word set A 2, wherein the morphology similarity WordSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
Wherein, the number of letter among len (C1) and len (a2) expression element C1 and the element a2, the number that SameWC (C1, a2) expression element a2 occurs in Elements C 1;
In the present embodiment, english word set A 2 comprises two elements " j " and " xj ", set C comprises two elements " pxss " and " jpxxj ", so calculate respectively the morphology similarity of " pxss " and " j " and " xj ", then sue for peace, obtain the morphology similarity of " pxss " and english word set A 2, calculate respectively the morphology similarity of " jpxxj " and " j " and " xj ", then sue for peace, obtain the morphology similarity of " jpxxj " and english word set A 2:
" pxss " is 2 * (0/ (4+1))=0 with the morphology similarity of " j ";
" pxss " is 2 * (0/ (4+2))=0 with the morphology similarity of " xj ";
" jpxxj " is 2 * (2/ (5+1))=2/3 with the morphology similarity of " j ";
" jpxxj " is 2 * (1/ (5+2))=2/7 with the morphology similarity of " xj ";
So " pxss " is 0 with the morphology similarity of english word set A 2, " jpxxj " is 2/3+2/7=0.95 with the morphology similarity of english word set A 2;
Step 4.2: the word order similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the word order similarity of Elements C 1 and english word set A 2, wherein the word order similarity OrdSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
If | OnceWS (C1, a2) |＞1, then
If | OnceWS (C1, a2) |=1, OrdSim (C1, a2)=1 then;
If | OnceWS (C1, a2) |=0, OrdSim (C1, a2)=0 then;
Wherein, OnceWS (C1, a2) is illustrated among Elements C 1 and the element a2 and occurs respectively and distinguish the English character set of strings that only occurs once, | OnceWS (C1, a2) | the mould of OnceWS (C1, a2) is gathered in expression; Pfirst (C1, a2) expression OnceWS (C1, a2) vector that the position number of each element in Elements C 1 consists of, the component of Psecond (C1, a2) expression Pfirst (C1, a2) is by corresponding OnceWS (C1, a2) vector that obtains after the position of each element in element a2 rearranges in, the backward number of each adjacent component of RevOrd (C1, a2) expression Psecond (C1, a2);
In the present embodiment, english word set A 2 comprises two elements " j " and " xj ", set C comprises two elements " pxss " and " jpxxj ", so calculate respectively the word order similarity of " pxss " and " j " and " xj ", then sue for peace, obtain the word order similarity of " pxss " and english word set A 2, calculate respectively the word order similarity of " jpxxj " and " j " and " xj ", then sue for peace, obtain the word order similarity of " jpxxj " and english word set A 2:
All occur respectively among " pxss " and " j " and all distinguish the English character string that all only occurs once, so OnceWS (pxss, j) is empty set, so | OnceWS (pxss, j) |=0, the word order similarity of " pxss " and " j " is 0;
All occur respectively among " pxss " and " xj " and all distinguish the English character string that all only occurs once, so OnceWS (pxss, xj) is empty set, so | OnceWS (pxss, xj) |=0, the word order similarity of " pxss " and " xj " is 0;
All occur respectively among " jpxxj " and " j " and all distinguish the English character string that all only occurs once, so OnceWS (jpxxj, j) is empty set, so | OnceWS (jpxxj, j) |=0, the word order similarity of " jpxxj " and " j " is 0;
Have among " jpxxj " and " xj " all to occur respectively and all distinguish the English character string " xj " that all only occurs once, | OnceWS (jpxxj, xj) |=1, the word order similarity of " jpxxj " and " xj " is 1;
So " pxss " is 0 with the word order similarity of english word set A 2, " jpxxj " is 0+1=1 with the word order similarity of english word set A 2.
Step 4.3: 1 times of the λ that gets Elements C 1 that step 4.1 obtains and the morphology similarity of english word set A 2, the Elements C 1 that obtains with step 4.2 again and 2 times of summations of λ of the word order similarity of english word set A 2 obtain the similarity of Elements C 1 and english word set A 2; λ 1+ λ 2=1 wherein, because the morphology similarity plays a major role, the word order similarity plays a secondary role, so λ 1＞λ 2;
In the present embodiment, λ 1=0.7, λ 2=0.3, so the similarity of " pxss " and english word set A 2 is 0 * 0.7+0 * 0.3=0, " jpxxj " is 0.95 * 0.7+1 * 0.3=0.965 with the similarity of english word set A 2.
Step 5: among the new result for retrieval set C with the element of the similarity maximum of english word set A 2 as final result for retrieval.
In the present embodiment, obviously the similarity of " jpxxj " and english word set A 2 is greater than " pxss " similarity with english word set A 2, so get " jpxxj " as final result for retrieval, result for retrieval corresponding to output " jpxxj " gathered the Chinese element " sudden spiral dive " among the B.
Then terrestrial operation personnel positioning arrives the method for disposal of " sudden spiral dive ", and makes immediately disposal method and reduce the decision-making time.The method of disposal of sudden spiral dive is as follows: velometer at a glance, and discovery speed is anxious when increasing, and receives rapidly the gloss oil door, stops immediately pull bar; Two see horizon instrument, and hand-foot coordination is effectively pedaled rudder to the opposite direction depression bar of rotation, prevent rotation, level the wings, the softer effectively pull bar pull-out to the dead astern; It should be noted that and behind level the wings, to take back again, otherwise pull bar can make centripetal force increase, and accelerates rotation, gives to change and causes difficulty.
Claims (3)
1. flight managing special situation method for quickly retrieving based on layering retrieval is characterized in that: may further comprise the steps:
Step 1: extract Chinese character string and English character string among the query text A of input, the Chinese character string that extracts forms Chinese word set of words A1, and the English character string that extracts forms english word set A 2;
Step 2: use the element among the Chinese word set of words A1 that managing special situation method database is retrieved, obtain result for retrieval set B=(B1, B2 ..., Bn), at least one element of Chinese word set of words A1 wherein appears in each element of B;
Step 3: the Chinese character in each element among the result for retrieval set B in the step 2 is replaced to first letter of pinyin corresponding to Chinese character, obtain new result for retrieval set C;
Step 4: each element of new result for retrieval set C and the similarity of the english word set A 2 in the step 1 in the calculation procedure 3, wherein the Elements C 1 among the new result for retrieval set C may further comprise the steps with the method for the similarity of english word set A 2:
Step 4.1: the morphology similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the morphology similarity of Elements C 1 and english word set A 2, wherein the morphology similarity WordSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
Wherein, the number of letter among len (C1) and len (a2) expression element C1 and the element a2, the number that SameWC (C1, a2) expression element a2 occurs in Elements C 1;
Step 4.2: the word order similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the word order similarity of Elements C 1 and english word set A 2, wherein the word order similarity OrdSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
If | OnceWS (C1, a2) |＞1, then
If | OnceWS (C1, a2) |=1, OrdSim (C1, a2)=1 then;
If | OnceWS (C1, a2) |=0, OrdSim (C1, a2)=0 then;
Wherein, OnceWS (C1, a2) is illustrated among Elements C 1 and the element a2 and occurs respectively and distinguish the English character set of strings that only occurs once, | OnceWS (C1, a2) | the mould of OnceWS (C1, a2) is gathered in expression; The vector that the position number of each element among Pfirst (C1, a2) the expression OnceWS (C1, a2) in Elements C 1 consists of,
The component of Psecond (C1, a2) expression Pfirst (C1, a2) is by corresponding OnceWS (C1, a2) vector that obtains after the position of each element in element a2 rearranges in, the backward number of each adjacent component of RevOrd (C1, a2) expression Psecond (C1, a2);
Step 4.3: 1 times of the λ that gets Elements C 1 that step 4.1 obtains and the morphology similarity of english word set A 2, the Elements C 1 that obtains with step 4.2 again and 2 times of summations of λ of the word order similarity of english word set A 2 obtain the similarity of Elements C 1 and english word set A 2; Wherein λ 1+ λ 2=1, and λ 1＞λ 2;
Step 5: among the new result for retrieval set C with the element of the similarity maximum of english word set A 2 as final result for retrieval.
2. described a kind of flight managing special situation method for quickly retrieving based on layering retrieval according to claim 1 is characterized in that: step 4 is changed into:
Step 4: each element of new result for retrieval set C and the similarity of the english word set A 2 in the step 1 in the calculation procedure 3, wherein the Elements C 1 among the new result for retrieval set C may further comprise the steps with the method for the similarity of english word set A 2:
Step 4.1: the word order similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the word order similarity of Elements C 1 and english word set A 2, wherein the word order similarity OrdSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
If | OnceWS (C1, a2) |＞1, then
If | OnceWS (C1, a2) |=1, OrdSim (C1, a2)=1 then;
If | OnceWS (C1, a2) |=0, OrdSim (C1, a2)=0 then;
Wherein, OnceWS (C1, a2) is illustrated among Elements C 1 and the element a2 and occurs respectively and distinguish the English character set of strings that only occurs once, | OnceWS (C1, a2) | the mould of OnceWS (C1, a2) is gathered in expression; Pfirst (C1, a2) expression OnceWS (C1, a2) vector that the position number of each element in Elements C 1 consists of, the component of Psecond (C1, a2) expression Pfirst (C1, a2) is by corresponding OnceWS (C1, a2) vector that obtains after the position of each element in element a2 rearranges in, the backward number of each adjacent component of RevOrd (C1, a2) expression Psecond (C1, a2);
Step 4.2: the morphology similarity of calculating respectively each element in element C1 and the english word set A 2, then summation obtains the morphology similarity of Elements C 1 and english word set A 2, wherein the morphology similarity WordSim (C1, a2) of element a2 is in Elements C 1 and the english word set A 2:
Wherein, the number of letter among len (C1) and len (a2) expression element C1 and the element a2, the number that SameWC (C1, a2) expression element a2 occurs in Elements C 1;
Step 4.3: 1 times of the λ that gets Elements C 1 that step 4.2 obtains and the morphology similarity of english word set A 2, the Elements C 1 that obtains with step 4.1 again and 2 times of summations of λ of the word order similarity of english word set A 2 obtain the similarity of Elements C 1 and english word set A 2; Wherein λ 1+ λ 2=1, and λ 1＞λ 2.
3. described a kind of flight managing special situation method for quickly retrieving based on layering retrieval according to claim 1 and 2 is characterized in that: λ 1=0.7, λ 2=0.3.
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