CN111695339B - Hidden danger-oriented automatic rule standard treaty matching method and device - Google Patents
Hidden danger-oriented automatic rule standard treaty matching method and device Download PDFInfo
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Abstract
The invention belongs to the technical field of fire hazard regulations and discloses an automatic matching method of a rule standard treaty facing a hidden trouble, which comprises the steps of extracting keyword information from a rule base; acquiring detected hidden danger information and keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting matched rules and rule treatises; acquiring feedback information of the matched regulations and regulation treatises, and adjusting and optimizing the matching rules by combining the feedback information; an automatic matching device is also disclosed; the keyword information of the rule base is extracted to be matched with the detected hidden danger information and the keywords thereof, so that the accuracy of the result is ensured, and meanwhile, the matching rule is continuously optimized through the matching result fed back by the user, so that the accuracy of hidden danger investigation is improved, the time for manually inquiring the rule base is shortened, and the working efficiency of hidden danger investigation is improved.
Description
Technical Field
The invention belongs to the technical field of fire hazard regulations, and particularly relates to an automatic matching method and device for a rule standard treaty facing hidden danger.
Background
The hidden trouble investigation is to utilize a related method of safety production management to carry out item-by-item investigation on people, mechanical equipment, working environment and production management of a production and management unit according to national safety production laws and regulations, so as to find hidden trouble of safety production accidents; after the hidden trouble is found, the hidden trouble is eliminated according to various treatment means, so that the production safety accident is eliminated in a sprouting state, and the aim of safe production is fulfilled.
Referring to a matching processing method and device of vulnerability information of China patent number CN110808957A, the method comprises the following steps: acquiring vulnerability related information in a network, and performing part-of-speech tagging and block extraction on vulnerability related beliefs to obtain preprocessing vulnerability information; combining a plurality of blocks conforming to a preset grammar structure in the pre-processing vulnerability information into new noun blocks to obtain the block vulnerability information; matching verbs in the block vulnerability information according to preset sensitive verbs, and determining target nouns connected with the matched target verbs as vulnerability information.
By combining the above mentioned vulnerability information processing modes, the security personnel can not accurately judge whether hidden danger exists when hidden danger is detected, and can not provide accurate legal basis for people to trust when hidden danger exists; meanwhile, the collected feedback information cannot be combined for optimization when a processing mode is adopted, so that the result is lack of rationality.
Disclosure of Invention
The invention aims to provide a hidden danger-oriented automatic rule matching method and device for solving the problems that the mentioned safety personnel cannot accurately judge whether hidden danger exists when the hidden danger is detected, and cannot provide accurate and convincing rule basis when the hidden danger exists; meanwhile, the collected feedback information cannot be combined for optimization when a processing mode is adopted, so that the result is lack of rationality.
The technical scheme adopted for solving the technical problems is that the invention provides an automatic matching method of a rule standard treaty facing hidden danger, which comprises the following steps:
extracting keyword information from a rule base;
acquiring detected hidden danger information and keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting matched rules and rule treatises;
and acquiring feedback information of the matched regulations and regulation regulations, and adjusting and optimizing the matching regulations by combining the feedback information.
Further preferably, the "extracting keyword information from the rule base" specifically includes: invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency; calculating the word frequency and the reverse frequency of the candidate words in the candidate word library; and calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
Further preferably, the "matching the keyword with the keyword information of the rule base according to a preset matching rule, and outputting the matched rule and rule treaty" specifically includes: carrying out full-text accurate matching on the keyword information according to the hidden danger information keywords; carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information; and corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
Further preferably, the "feedback information" includes one of poor matching accuracy, good matching accuracy, low matching efficiency, and high matching efficiency.
Further preferably, the "adjusting and optimizing matching rule by combining feedback information" specifically includes: when the feedback information is detected to be 'poor in matching precision', increasing the selection range of the keyword threshold of the rule base; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
The invention provides a hidden danger-oriented automatic matching device for legal standard treaty, which comprises the following steps:
the calling module is used for extracting keyword information from the rule base;
the matching output module is used for acquiring the detected hidden danger information and the keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting the matched rules and rule treatises;
and the feedback processing module is used for acquiring the feedback information of the matched regulations and regulation regulations and combining the feedback information to adjust and optimize the matching regulations.
Further preferably, the "extracting keyword information from the rule base" specifically includes: invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency; calculating the word frequency and the reverse frequency of the candidate words in the candidate word library; and calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
Further preferably, the "matching the keyword with the keyword information of the rule base according to a preset matching rule, and outputting the matched rule and rule treaty" specifically includes: carrying out full-text accurate matching on the keyword information according to the hidden danger information keywords; carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information; and corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
Further preferably, the "feedback information" includes one of poor matching accuracy, good matching accuracy, low matching efficiency, and high matching efficiency.
Further preferably, the "adjusting and optimizing matching rule by combining feedback information" specifically includes: when the feedback information is detected to be 'poor in matching precision', increasing the selection range of the keyword threshold of the rule base; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
The invention has the beneficial effects that:
the keyword information of the rule base is extracted to be matched with the detected hidden danger information and the keywords thereof, so that the accuracy of the result is ensured, and meanwhile, the matching rule is continuously optimized through the matching result fed back by the user, so that the accuracy of hidden danger investigation is improved, the time for manually inquiring the rule base is shortened, and the working efficiency of hidden danger investigation is improved.
Drawings
FIG. 1 is a schematic flow chart of a hidden danger oriented automatic matching method for rule standard treaty according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a hidden danger oriented automatic matching method for rule standard treaty according to an embodiment of the invention;
FIG. 3 is a schematic flow chart of a hidden danger oriented automatic matching method for rule standard treaty according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of an automatic matching device for rule standard treaty facing hidden danger according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention and/or the technical solutions in the prior art, the following description will explain specific embodiments of the present invention with reference to the accompanying drawings. It is evident that the drawings in the following description are only examples of the invention, from which other drawings and other embodiments can be obtained by a person skilled in the art without inventive effort. In addition, the term "azimuth" refers to a relative positional relationship between the members, not an absolute positional relationship.
Referring to fig. 1, an automatic matching method for rule standard treaty facing hidden danger in this embodiment is shown, which includes the following steps:
s1, extracting keyword information from a rule base;
s2, acquiring detected hidden danger information and keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting matched rules and rule treatises;
s3, acquiring feedback information of the matched regulations and regulation regulations, and adjusting and optimizing the matching regulations by combining the feedback information.
As shown in fig. 2, the extracting keyword information from the rule base in step S1 specifically includes:
s101, invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency;
s102, calculating the word frequency and the reverse frequency of the candidate words in the candidate word library;
s103, calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
The required fire-fighting field regulation library can be called through the Internet, the preset keyword word frequency is substituted into the regulation library to search and screen out the candidate word library (the preset word frequency can be obtained by searching the keyword history record or searching the network), so as to obtain the candidate word library
For any one of the regulations->
For the sake of +>
The term frequency of (a) can be expressed as:
wherein the method comprises the steps of
Is word->
In regulations->
The number of occurrences of (a) and the denominator are in the rule +.>
The sum of the occurrence times of all candidate words; />
The higher the candidate word ++>
For regulations->
The more important is->
The lower the candidate word ++>
For regulations and regulations
The less important.
It should also be noted that words or words such as "have" or "have" that are not significant in the code, but are not in the category of keywords, so that for a particular word
The total number of rules may be divided by the number of rules containing the word, and the obtained quotient may be logarithmically taken to obtain the inverse frequency of the candidate word, as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
is the total number of all regulations in the regulation library, and the denominator is the inclusion word +.>
Is a rule number.
In combination with the above, for a high candidate word frequency within a particular rule, and a low file frequency of the candidate word in the whole rule base, a statistical feature weight of the candidate word can be generated, as shown in the following formula:
the keyword extraction algorithm of the rule base can obtain statistical feature weights of a series of candidate words after calculation, and the front topK words are listed as keywords according to actual conditions because of the fact that the obtained words are more (the keyword threshold can be selected to be 10 before).
As shown in fig. 3, in step S2, "matching keywords with keyword information of the rule base according to a preset matching rule, and outputting the matched rule and rule treaty" specifically includes:
s201, carrying out full-text accurate matching on the keyword information according to hidden danger information keywords;
s202, carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information;
and S203, corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
Aiming at the detected hidden danger information, on one hand, keywords in the hidden danger information can be manually called, and when the keywords are selected, the selected words or phrases are necessarily defined; on the other hand, the keyword information can also be extracted by the method of the step S1, and the embodiment adopts the method of the step S1 to call the keyword; the called keywords are paired with the keyword information extracted from the rule base one by one, wherein the keyword information comprises keywords completely consistent with the keyword information in the rule base and keywords with similar meanings to the keyword information in the rule base, and the phenomenon of message leakage detection is avoided in the mode, so that the accuracy is further improved; it should be noted that, the preset synonym library mentioned in step S202 may be based on the manner of extracting the keyword information from the rule base in step S1, where the keyword threshold may be set to 20-30, so as to expand the keyword range and the synonym range thereof, and ensure the authenticity and reliability of the data; and calling the matched keyword information corresponding to the related regulations and the regulation regulations, and sending the matched keyword information to an operator or a terminal.
The feedback information in step S3 may include one of poor matching precision, good matching precision, low matching efficiency, and high matching efficiency; the step of adjusting and optimizing the matching rule by combining the feedback information comprises the steps of increasing the selection range of the keyword threshold value of the rule base when the feedback information is detected to be 'poor in matching precision'; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
After receiving the corresponding regulations and the corresponding regulations, operators can feed back according to actual conditions; if an operator selects one of the 'good matching precision' or the 'high matching efficiency' from the interface or the terminal, the result of the matching method is accurate; if an operator selects 'poor matching precision' on an interface or a terminal, the topK value can be increased, the selection range of keywords of the rule base is enlarged (each keyword is changed from 10 to 15-20), so that the description of the keywords of the rule base is more accurate and the matching with hidden danger information is more accurate; if the operator selects 'low matching efficiency' on the interface or terminal, the description time is longer, the topK value can be properly reduced, the operation amount is reduced, and the matching speed is increased.
As shown in fig. 4, this embodiment may further disclose an automatic matching device for rule standard treaty facing hidden danger, including:
the calling module is used for extracting keyword information from the rule base;
the matching output module is used for acquiring the detected hidden danger information and the keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting the matched rules and rule treatises;
and the feedback processing module is used for acquiring the feedback information of the matched regulations and regulation regulations and combining the feedback information to adjust and optimize the matching regulations.
Further, "extracting keyword information from the rule base" specifically includes: invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency; calculating the word frequency and the reverse frequency of the candidate words in the candidate word library; and calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
Further, "matching keywords with the keyword information of the rule base according to a preset matching rule, and outputting the matched rule and rule treaty" specifically includes: carrying out full-text accurate matching on the keyword information according to the hidden danger information keywords; carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information; and corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
Further, "feedback information" may include one of poor matching accuracy, good matching accuracy, low matching efficiency, and high matching efficiency.
The "matching rule adjustment and optimization by combining feedback information" specifically includes: when the feedback information is detected to be 'poor in matching precision', increasing the selection range of the keyword threshold of the rule base; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
The present embodiments may also disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the above-described method embodiments.
The present embodiment may also be a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above-described method embodiments.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The automatic matching method of the hidden danger oriented legal standard treaty is characterized by comprising the following steps of:
s1, extracting keyword information from a rule base;
s2, acquiring detected hidden danger information and keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting matched rules and rule treatises;
s3, acquiring feedback information of the matched regulations and regulation regulations, and adjusting and optimizing the matching regulations by combining the feedback information;
the step S1 of extracting keyword information from the rule base specifically comprises the following steps: s101, invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency; s102, calculating the word frequency and the reverse frequency of the candidate words in the candidate word library; s103, calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
2. The automatic matching method of hidden danger oriented legal standard treaty according to claim 1, wherein in S2, the matching of keywords with the keyword information of the legal library according to the preset matching rule, and outputting the matched legal and legal treaty specifically comprises: s201, carrying out full-text accurate matching on the keyword information according to hidden danger information keywords; s202, carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information; and S203, corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
3. The automatic matching method for hidden danger oriented legal standard treaty according to claim 1, wherein the feedback information comprises one of poor matching precision, good matching precision, low matching efficiency and high matching efficiency.
4. The automatic matching method for hidden danger oriented legal standard treaty according to claim 3, wherein the step of "adjusting and optimizing the matching rule by combining feedback information" in S3 specifically includes: when the feedback information is detected to be 'poor in matching precision', increasing the selection range of the keyword threshold of the rule base; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
5. The utility model provides a rule standard treaty automatic matching device towards hidden danger which characterized in that includes the following:
the calling module is used for extracting keyword information from the rule base;
the matching output module is used for acquiring the detected hidden danger information and the keywords thereof, matching the keywords with the keyword information of the rule base according to a preset matching rule, and outputting the matched rules and rule treatises;
the feedback processing module is used for acquiring feedback information of the matched regulations and regulation regulations and combining the feedback information to adjust and optimize the matching regulations;
the "extracting keyword information from the rule base" specifically includes: invoking a rule base text, filtering the whole text of the rule base text, and screening out candidate word bases according to a preset word frequency; calculating the word frequency and the reverse frequency of the candidate words in the candidate word library; and calculating the statistical feature weight of the candidate word by combining the word frequency of the candidate word and the reverse frequency of the candidate word, and listing the front topK word as keyword information according to a preset keyword threshold.
6. The automatic matching device for hidden danger oriented legal standard treaty according to claim 5, wherein the steps of matching keywords with the keyword information of the legal base according to a preset matching rule and outputting the matched legal standard and legal treaty specifically comprise: carrying out full-text accurate matching on the keyword information according to the hidden danger information keywords; carrying out preset synonym library matching on hidden danger information keywords which are not accurately matched, and obtaining corresponding keyword information; and corresponding the matched keyword information to a rule base to obtain rules and rule treatises containing the keyword information.
7. The automatic matching device for hidden danger oriented legal standard treaty according to claim 5, wherein the feedback information comprises one of poor matching precision, good matching precision, low matching efficiency and high matching efficiency.
8. The automatic matching device for hidden danger oriented legal standard treaty according to claim 7, wherein the "adjusting and optimizing matching rules by combining feedback information" specifically includes: when the feedback information is detected to be 'poor in matching precision', increasing the selection range of the keyword threshold of the rule base; and when the feedback information is detected to be 'low in matching efficiency', reducing the selection range of the keyword threshold of the rule base.
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