CN116384947B - Publication issuing monitoring management system and method based on big data - Google Patents
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Abstract
The invention discloses a publication issuing monitoring management system and method based on big data, belonging to the technical field of publication supervision; checking the validity of the auditing of different auditing steps according to the auditing positions; the method comprises the steps of obtaining auditing state factors by integrating and calculating various data of different aspects of auditing processes of different auditing steps, and evaluating and classifying auditing states of corresponding auditing steps according to the auditing state factors; the negative feedback influence coefficients are obtained by integrating and calculating the data of each aspect corresponding to feedback of the auditors, and the negative feedback influence states of the corresponding auditors are evaluated and classified according to the negative feedback influence coefficients; the method and the device are used for solving the technical problems that the whole publication issuing process cannot be monitored and data analysis can not be carried out in the existing scheme, and the monitored data can not be expanded and mined to dynamically manage the subsequent publication issuing audit.
Description
Technical Field
The invention relates to the technical field of publication supervision, in particular to a publication issuing monitoring management system and method based on big data.
Background
In order to ensure that books meet the requirement of the publication specification and improve the quality of the books, a publisher can conduct three-examination and three-correction on the manuscript; the third-examination and third-school mainly refers to that books are subjected to three-time examination and reading and proofreading of the contents of books before being published, and is a core link in the book publishing process.
When the existing publication issue monitoring management scheme is implemented, the inspection state before publication issue is not monitored and data analysis is not performed, statistics, data mining and expansion are not performed on user feedback conditions after publication issue, so that data islands are formed among different process monitoring data of publication issue, and further, the inspection of subsequent publication issue cannot be dynamically managed to improve the inspection quality.
Disclosure of Invention
The invention aims to provide a publication release monitoring management system and method based on big data, which are used for solving the technical problems that the whole publication release process cannot be monitored and data analysis cannot be carried out in the existing scheme, and the monitored data cannot be expanded and mined to dynamically manage the subsequent publication release audit.
The aim of the invention can be achieved by the following technical scheme:
a publication issue monitoring management system based on big data comprises an auditing step monitoring statistics module, a data processing module and a data processing module, wherein the auditing step monitoring statistics module is used for monitoring and data statistics of different auditing steps before publication issue and preprocessing various statistical data to obtain auditing statistics processing data; comprising the following steps:
when monitoring different auditing steps before publication release, auditing personnel of the different auditing steps, corresponding auditing positions and auditing starting time are counted; checking the validity of the auditing step according to the auditing position corresponding to the auditing personnel;
obtaining corresponding standard auditing positions according to the auditing steps, and comparing and verifying the auditing positions corresponding to the auditing personnel with the corresponding standard auditing positions;
if the auditing position is different from the standard auditing position, judging that the corresponding auditing step is not standard, generating an abnormal auditing label, and marking the corresponding auditing step as an abnormal auditing step according to the abnormal auditing label;
if the auditing position is the same as the label auditing position, judging that the corresponding auditing step is standard, generating a normal auditing label, and marking the corresponding auditing step as a normal auditing step according to the normal auditing label;
the abnormal auditing label or the normal auditing label forms auditing step verifying data;
when the auditing step is finished corresponding to auditing personnel, acquiring corresponding auditing finishing time; and carrying out data processing on the auditing opinions generated by the auditing personnel in different auditing steps to obtain an auditing opinion keyword set;
auditing personnel in different auditing steps and corresponding auditing step verification data, auditing starting time, auditing ending time and auditing opinion keyword sets form auditing statistics processing data and upload the auditing statistics processing data to a cloud platform;
and the auditing step state evaluation module is used for sequentially evaluating auditing states of different auditing steps according to the auditing statistics processing data to obtain an auditing evaluation set containing different synchronous evaluation data.
Preferably, traversing the content of the audit opinion and counting the total number of questions, extracting keywords from different questions in sequence, and arranging and combining a plurality of extracted keywords according to the sequence of the corresponding questions to obtain an audit opinion keyword set.
Preferably, the working steps of the auditing step status evaluation module include:
traversing the auditing statistics processing data to obtain auditing personnel corresponding to the auditing step, auditing step checking data, auditing starting time, auditing ending time and auditing opinion keyword sets;
acquiring and marking corresponding auditing duration time according to auditing starting time and auditing ending time; and acquiring and marking the total number of the newly-appearing problems in the auditing opinion keywords set corresponding to the N auditing steps; n is a positive integer; extracting the numerical value of each marked data, and parallelly calculating to obtain an auditing state factor corresponding to the auditing step;
when the auditing personnel evaluates the auditing state of the corresponding auditing step according to the auditing state factors, comparing and judging the auditing state factors with the corresponding auditing state ranges to obtain step evaluation data containing the auditing state normal labels or the auditing state abnormal labels; and the step evaluation data corresponding to different auditing steps form an auditing evaluation set and are uploaded to the cloud platform.
Preferably, if the audit state factor belongs to the audit state range, generating an audit state normal label; if the audit state factor does not belong to the audit state range, generating an audit state abnormal label.
Preferably, the system further comprises a publication issuing feedback statistics module, which is used for counting feedback information received after publication issuing, and carrying out negative influence evaluation and responsibility tracking on the counted feedback information to obtain feedback evaluation data.
Preferably, statistics and preprocessing are carried out on feedback information received after publication release, keyword extraction is carried out on feedback sentences in the feedback information, and the extracted keyword phrases are obtained by arranging and combining according to the extraction sequence; sequentially comparing and matching the extracted keyword phrases with pre-constructed keyword libraries with different influence degrees;
if the matching is successful, acquiring keyword influence weights corresponding to a keyword library with successfully matched extracted keyword phrases, and marking auditors corresponding to the extracted keyword phrases;
if the matching is unsuccessful, the extracted keyword group is forwarded to an auditor for auditing to obtain the corresponding keyword influence weight, and the auditor for which the extracted keyword group is responsible is marked.
Preferably, when negative influence evaluation and responsibility tracking are carried out on the counted feedback information, sequentially checking steps to obtain all keyword influence weights corresponding to feedback of different auditors, and marking the different auditors corresponding to the different auditing steps; counting and marking the total number of key word influence weights corresponding to different auditors; influence the weight mark to different keywords;
step weights of auditing personnel corresponding to the auditing steps are obtained and marked; extracting the numerical values of all marked data, and parallelly calculating to obtain negative feedback influence coefficients corresponding to different auditors;
when the negative feedback influence states of the corresponding auditors are evaluated according to the negative feedback influence coefficients, comparing and judging the negative feedback influence coefficients with the corresponding negative feedback influence thresholds to obtain feedback evaluation data comprising influence normal labels, influence mild abnormal labels or influence severe abnormal labels, and uploading the feedback evaluation data corresponding to different auditors to the cloud platform.
Preferably, the system further comprises a publication issue feedback management module, which is used for evaluating the overall state of the corresponding publication issue examination according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the subsequent publication issue according to the evaluation result; comprising the following steps:
traversing and counting feedback evaluation data of all auditors in different auditing steps, and setting the counted total number of the slightly abnormal tags affected and the total number of the severely abnormal tags affected as a first total number and a second total number; and comparing and judging the first total number and the second total number with a corresponding first threshold value and a corresponding second threshold value respectively to obtain an evaluation result containing the first evaluation signal, the second evaluation signal or the third evaluation signal.
Preferably, if the first total number is not greater than the first threshold value and the second total number is not greater than the second threshold value, generating a first evaluation signal; if the first total number is greater than the first threshold value and the second total number is not greater than the second threshold value, generating a second evaluation signal; if the first total number is greater than the first threshold value and the second total number is greater than the second threshold value, generating a third evaluation signal;
and respectively implementing dynamic adjustment for maintaining the existing auditor scheme, enhancing the auditor training scheme or replacing the auditor scheme according to the first evaluation signal, the second evaluation signal or the third evaluation signal in the evaluation result.
In order to solve the problem, the invention also discloses a publication release monitoring management method based on big data, which comprises the following steps:
monitoring and data statistics are carried out on different auditing steps before publication release, and preprocessing is carried out on each item of statistical data to obtain auditing statistics processing data;
sequentially evaluating the auditing states of different auditing steps according to the auditing statistics processing data to obtain an auditing evaluation set containing the evaluating data of different steps;
counting feedback information received after publication release, and carrying out negative influence evaluation and responsibility tracking on the counted feedback information to obtain feedback evaluation data;
and evaluating the overall state of the corresponding publication issuing examination according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the subsequent publication issuing according to the evaluation result.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, validity verification is carried out on the auditing of different auditing steps according to the auditing positions, so that the auditing states of different auditing steps in the earlier stage can be intuitively obtained, and reliable local data support can be provided for the overall standard analysis of different auditing steps in the later stage; the auditing state factors are obtained by integrating and calculating various data in different aspects of the auditing process of different auditing steps, and the auditing states of the corresponding auditing steps are evaluated and classified according to the auditing state factors, so that the auditing states of auditing personnel of different auditing steps can be intuitively obtained, reliable data support can be provided for dynamic management of different auditing steps, and the diversity of data monitoring and data analysis in the prior publication release period is effectively improved.
According to the invention, the negative feedback influence coefficient is obtained by integrating and calculating the data of each aspect of the corresponding feedback of the auditor, the negative feedback influence state of the corresponding auditor is evaluated and classified according to the negative feedback influence coefficient, the audit quality of the auditor in different audit steps can be intuitively obtained from the feedback aspect after the publication is released, reliable data support can be provided for the dynamic management of the auditor in different audit steps, and the diversity and reliability of the data monitoring analysis and feedback management in the post-release period of the publication are effectively improved.
According to the invention, the overall state of the publication issue examination is evaluated according to all feedback evaluation data of different examination steps, so that the overall effect of the publication issue overall process monitoring analysis can be effectively improved, the examination of the following publication issue is dynamically adjusted according to the evaluation result, the overall effect of the examination of the following publication before issue can be effectively improved, and the mining and expansion of publication issue monitoring data are realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a publication issuance monitoring management system based on big data according to the present invention.
FIG. 2 is a block flow diagram of a publication issuance monitoring management method based on big data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The first embodiment of the invention is a publication issue monitoring management system based on big data, as shown in fig. 1, comprising an auditing step monitoring statistics module, an auditing step state evaluation module and a cloud platform;
the auditing step monitoring and counting module is used for monitoring and counting data of different auditing steps before publication release, and preprocessing each item of counted data to obtain auditing and counting processing data; comprising the following steps:
when monitoring is carried out on different auditing steps before publication release, the different auditing steps are specifically three auditing steps, and auditing personnel of the different auditing steps, corresponding auditing positions and auditing starting time are counted; checking the validity of the auditing step according to the auditing position corresponding to the auditing personnel; wherein, the auditing positions include, but are not limited to, responsibility assistant, responsibility edit, responsibility beauty edit, responsibility master edit; the unit of the audit start time is accurate to the hour;
obtaining corresponding standard auditing positions according to the auditing steps, and comparing and verifying the auditing positions corresponding to the auditing personnel with the corresponding standard auditing positions; the standard auditing positions are acquired according to auditing position requirements corresponding to different auditing steps in the prior art;
if the auditing position is different from the standard auditing position, judging that the corresponding auditing step is not standard, generating an abnormal auditing label, and marking the corresponding auditing step as an abnormal auditing step according to the abnormal auditing label;
if the auditing position is the same as the label auditing position, judging that the corresponding auditing step is standard, generating a normal auditing label, and marking the corresponding auditing step as a normal auditing step according to the normal auditing label;
the abnormal auditing labels or the normal auditing labels form auditing step checking data and are uploaded to the cloud platform, and alarming prompt is carried out on auditing of the corresponding auditing steps according to the abnormal auditing labels in the auditing step checking data;
the validity verification is carried out on the auditing of different auditing steps according to the auditing positions, so that the auditing state of different auditing steps in the earlier stage can be intuitively obtained, and reliable local data support can be provided for the overall standard analysis of different auditing steps in the later stage.
When the auditing step corresponds to the auditing of an auditing person, acquiring corresponding auditing ending time, wherein the unit of the auditing ending time is accurate to hour;
the method comprises the steps of obtaining auditing opinions generated by auditing personnel in different auditing steps, traversing the content of the auditing opinions, counting the total number of problems, sequentially extracting keywords of different problems, wherein the keyword extraction can be realized by the conventional keyword extraction algorithm, specific steps are not repeated herein, and a plurality of extracted keywords are arranged and combined according to the sequence of the corresponding problems to obtain an auditing opinion keyword set;
auditing personnel of different auditing steps and corresponding auditing step verification data, auditing starting time, auditing ending time and auditing opinion keyword sets form auditing statistics processing data and are uploaded to the cloud platform.
In the embodiment of the invention, by monitoring and data statistics of different auditing steps before publication release, reliable data support can be provided for the detailed analysis and management of different auditing steps.
The auditing step state evaluation module is used for sequentially evaluating auditing states of different auditing steps according to auditing statistics processing data to obtain auditing evaluation sets containing different synchronous evaluation data; comprising the following steps:
traversing the auditing statistics processing data to obtain auditing personnel corresponding to the auditing step, auditing step checking data, auditing starting time, auditing ending time and auditing opinion keyword sets;
acquiring corresponding auditing duration according to auditing starting time and auditing ending time, and marking the auditing duration as SS; the unit of the examination duration is hours; the total number of the newly-appearing problems in the auditing opinion keyword set corresponding to the N auditing steps is obtained and marked as WZ; the total number of the problems comprises the newly-appearing problems in the subsequent different auditing steps, and the problems can be classified and implemented, namely, independent newly-appearing problem statistics are implemented on the third audit and the third audit, and the statistics can be respectively carried out on the subsequent second audit, the third audit and the third audit according to the auditing opinion of the first audit and the third audit; n is a positive integer and can take the value of 2;
extracting the numerical value of each item of marked data and obtaining an auditing state factor Sz corresponding to the auditing step through formula simultaneous calculation; the calculation formula of the auditing state factor Sz is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein s1 and s2 are constant coefficients, s1 is more than 0 and less than 1, s2 is more than 1, SS0 is the standard auditing duration corresponding to the auditing step, and can be obtained by simulating historical auditing big data corresponding to the auditing step, the proportionality coefficient in the formula can be set by a person skilled in the art according to actual conditions or obtained by training a large amount of data through a machine learning algorithm, when the proportionality coefficient is set by a person skilled in the art according to actual conditions, s1 can be 0.537, and s2 can be 1.515;
it should be noted that, the audit state factor is a numerical value used for integrating and calculating various data of different aspects of audit process of different audit steps to evaluate the audit state of the corresponding audit step;
when the auditing state of the auditing personnel in the corresponding auditing step is evaluated according to the auditing state factors, comparing and judging the auditing state factors with the corresponding auditing state ranges; the auditing state range can be obtained by simulating historical big data of the publication type and the total number of publications corresponding to the publication;
if the auditing state factors belong to the auditing state range, judging that the auditing state of the auditing personnel in the corresponding auditing step is normal, generating an auditing state normal label, and adding one to the total auditing normal times of the corresponding auditing personnel according to the auditing state normal label;
if the auditing state factors do not belong to the auditing state range, judging that the auditing state of the auditing personnel in the corresponding auditing step is abnormal, generating an auditing state abnormal label, and adding one to the total auditing abnormal times of the corresponding auditing personnel according to the auditing state abnormal label;
the auditing state factors and the corresponding auditing state normal labels or auditing state abnormal labels form step evaluation data; and the step evaluation data corresponding to different auditing steps form an auditing evaluation set and are uploaded to the cloud platform.
In the embodiment of the invention, the auditing state factors are obtained by integrating and calculating various data of different aspects of auditing processes of different auditing steps, and the auditing states of the corresponding auditing steps are evaluated and classified according to the auditing state factors, so that the auditing states of auditing personnel of different auditing steps can be intuitively obtained, reliable data support can be provided for dynamic management of different auditing steps, and the diversity of data monitoring and data analysis in the prior publication release period is effectively improved.
An embodiment II, based on the embodiment I, further includes:
the publication issuing feedback statistical module is used for counting feedback information received after publication issuing, and carrying out negative influence evaluation and responsibility following on the counted feedback information to obtain feedback evaluation data; comprising the following steps:
counting and preprocessing feedback information received after publication release, extracting keywords from feedback sentences in the feedback information, and arranging and combining according to the extraction sequence to obtain extracted keyword phrases;
the feedback information includes, but is not limited to, information fed back by an online channel and information fed back by an offline channel, and the offline channel can be a bookstore specifically; the keyword extraction can be realized by the conventional keyword extraction algorithm, and specific steps are not repeated here;
sequentially comparing and matching the extracted keyword phrases with pre-constructed keyword libraries with different influence degrees;
if the matching is successful, acquiring keyword influence weights corresponding to a keyword library with successfully matched extracted keyword phrases, and marking auditors corresponding to the extracted keyword phrases;
if the matching is unsuccessful, forwarding the extracted keyword group to an auditor for auditing to obtain the corresponding keyword influence weight, and marking the auditor corresponding to the extracted keyword group;
it should be noted that, the keyword libraries with different influence degrees comprise a plurality of different sample keyword phrases, the plurality of sample keyword phrases can be obtained according to all feedback big data processing training of the historical publication, and the different keyword libraries predefine a corresponding keyword influence weight; the different influence degrees and the key word influence weights can be determined according to the total feedback times, and can also be determined according to the experience of a practitioner;
when negative influence evaluation and responsibility following are carried out on the counted feedback information, sequentially checking steps to obtain all keyword influence weights fed back by different checking staff, and marking the different checking staff corresponding to the different checking steps as i, i=1, 2,3, … … and n; n is a positive integer; counting the total number of key word influence weights corresponding to different auditors and marking as GZi; different keyword impact weights are labeled GQi;
step weights of auditing personnel corresponding to the auditing steps are obtained and marked as BQi;
the method comprises the steps of acquiring a database, wherein different auditing steps correspond to different step weights, comparing the acquired auditing steps with all auditing steps prestored in the database to acquire the corresponding step weights, and the step weights are used for digitally representing the different auditing steps and can provide data support for the differential analysis of the subsequent different auditing steps; the specific numerical value of the step weight can be obtained by simulation according to the auditing big data of all auditing steps of the publication;
the numerical values of all the marked data are extracted and are parallel, and negative feedback influence coefficients Fy corresponding to different auditors are obtained through formula calculation; the negative feedback influence coefficient Fy is calculated as:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein, f1 and f2 are constant coefficients, f2 is more than 0 and less than 1, f1 can take on a value of 0.843, and f2 can take on a value of 0.375;
it should be noted that, the negative feedback influence coefficient is a numerical value for integrating and calculating the data of each aspect corresponding to feedback of the auditor to evaluate the negative feedback influence state;
when the negative feedback influence states of the corresponding auditors are evaluated according to the negative feedback influence coefficients, comparing and judging the negative feedback influence coefficients with the corresponding negative feedback influence thresholds; the negative feedback influence threshold value can be obtained by simulation according to historical feedback big data corresponding to the auditing step;
if the negative feedback influence coefficient is smaller than the negative feedback influence threshold, judging that the negative feedback influence of the corresponding auditor is normal and generating an influence normal label;
if the negative feedback influence coefficient is not smaller than the negative feedback influence threshold value and is not larger than F of the negative feedback influence threshold value, F is a real number larger than one hundred, judging that the negative feedback influence of the corresponding auditor is slightly abnormal and generating an influence slightly abnormal label;
if the negative feedback influence coefficient is larger than F% of a negative feedback influence threshold, judging that the negative feedback influence of the corresponding auditor is severely abnormal and generating an influence severely abnormal label;
negative feedback influence coefficients and corresponding influence normal labels, influence mild abnormal labels or influence severe abnormal labels form feedback evaluation data corresponding to different auditors and are uploaded to the cloud platform.
In the embodiment of the invention, the negative feedback influence coefficient is obtained by integrating and calculating the data of each aspect corresponding to feedback of the auditor, the negative feedback influence state of the corresponding auditor is evaluated and classified according to the negative feedback influence coefficient, the audit quality of the auditor in different audit steps can be intuitively obtained from the feedback aspect after the publication is released, reliable data support can be provided for the dynamic management of the auditor in different audit steps, and the diversity and reliability of the data monitoring analysis and the feedback management in the post-release period of the publication are effectively improved.
Embodiment III: on the basis of the first embodiment and the second embodiment, the method further comprises the following steps:
the publication issue feedback management module is used for evaluating the overall state of the issue and examination of the corresponding publication according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the issue of the subsequent publication according to the evaluation result; comprising the following steps:
traversing and counting feedback evaluation data of all auditors in different auditing steps, and setting the counted total number of the slightly abnormal tags affected and the total number of the severely abnormal tags affected as a first total number and a second total number; comparing and judging the first total number and the second total number with a corresponding first threshold value and a corresponding second threshold value respectively; the first threshold value and the second threshold value are obtained by simulation according to historical big data published by publications;
if the first total number is not greater than the first threshold value and the second total number is not greater than the second threshold value, judging that the overall state of the corresponding publication issuing audit is normal and generating a first evaluation signal;
if the first total number is larger than the first threshold value and the second total number is not larger than the second threshold value, judging that the overall state of the corresponding publication issuing audit is slightly abnormal and generating a second evaluation signal;
if the first total number is larger than the first threshold value and the second total number is larger than the second threshold value, judging that the overall state of the corresponding publication issuing audit is severely abnormal and generating a third evaluation signal;
the first evaluation signal, the second evaluation signal or the third evaluation signal form an evaluation result, and dynamic adjustment for maintaining the existing auditor scheme, enhancing the auditor training scheme or replacing the auditor scheme is respectively implemented according to the first evaluation signal, the second evaluation signal or the third evaluation signal in the evaluation result.
In the embodiment of the invention, the overall state of the publication issue examination is evaluated according to all feedback evaluation data of different examination steps, so that the overall effect of the publication issue overall process monitoring analysis can be effectively improved, the examination of the following publication issue is dynamically adjusted according to the evaluation result, the overall effect of the examination of the following publication before the publication issue can be effectively improved, and the excavation and expansion of the publication issue monitoring data are realized.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula closest to the actual situation obtained by collecting a large amount of data and performing software simulation.
Embodiment four: as shown in fig. 2, the present invention is a publication issuance monitoring management method based on big data, comprising:
monitoring and data statistics are carried out on different auditing steps before publication release, and preprocessing is carried out on each item of statistical data to obtain auditing statistics processing data;
sequentially evaluating the auditing states of different auditing steps according to the auditing statistics processing data to obtain an auditing evaluation set containing the evaluating data of different steps;
counting feedback information received after publication release, and carrying out negative influence evaluation and responsibility tracking on the counted feedback information to obtain feedback evaluation data;
and evaluating the overall state of the corresponding publication issuing examination according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the subsequent publication issuing according to the evaluation result.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (6)
1. The publication issuing monitoring management system based on big data is characterized by comprising an auditing step monitoring statistics module, a data processing module and a publication issuing management module, wherein the auditing step monitoring statistics module is used for monitoring and data statistics of different auditing steps before publication issuing, and preprocessing each item of data of statistics to obtain auditing statistics processing data; comprising the following steps:
when monitoring different auditing steps before publication release, auditing personnel of the different auditing steps, corresponding auditing positions and auditing starting time are counted; checking the validity of the auditing step according to the auditing position corresponding to the auditing personnel;
obtaining corresponding standard auditing positions according to the auditing steps, and comparing and verifying the auditing positions corresponding to the auditing personnel with the corresponding standard auditing positions;
if the auditing position is different from the standard auditing position, judging that the corresponding auditing step is not standard, generating an abnormal auditing label, and marking the corresponding auditing step as an abnormal auditing step according to the abnormal auditing label;
if the auditing position is the same as the standard auditing position, judging that the corresponding auditing step is standard, generating a normal auditing label, and marking the corresponding auditing step as a normal auditing step according to the normal auditing label;
the abnormal auditing label or the normal auditing label forms auditing step verifying data;
when the auditing step is finished corresponding to auditing personnel, acquiring corresponding auditing finishing time; and carrying out data processing on the auditing opinions generated by the auditing personnel in different auditing steps to obtain an auditing opinion keyword set;
auditing personnel in different auditing steps and corresponding auditing step verification data, auditing starting time, auditing ending time and auditing opinion keyword sets form auditing statistics processing data and upload the auditing statistics processing data to a cloud platform;
the auditing step state evaluation module is used for sequentially evaluating auditing states of different auditing steps according to auditing statistics processing data to obtain auditing evaluation sets containing different synchronous evaluation data; comprising the following steps:
traversing the auditing statistics processing data to obtain auditing personnel corresponding to the auditing step, auditing step checking data, auditing starting time, auditing ending time and auditing opinion keyword sets;
acquiring and marking corresponding auditing duration time according to auditing starting time and auditing ending time; and acquiring and marking the total number of the newly-appearing problems in the auditing opinion keywords set corresponding to the N auditing steps; n is a positive integer; extracting the numerical value of each marked data, and parallelly calculating to obtain an auditing state factor corresponding to the auditing step;
when the auditing personnel evaluates the auditing state of the corresponding auditing step according to the auditing state factors, comparing and judging the auditing state factors with the corresponding auditing state ranges to obtain step evaluation data containing the auditing state normal labels or the auditing state abnormal labels; step evaluation data corresponding to different auditing steps form an auditing evaluation set and are uploaded to a cloud platform;
the publication issuing feedback statistical module is used for counting feedback information received after publication issuing, and carrying out negative influence evaluation and responsibility tracking on the counted feedback information to obtain feedback evaluation data;
counting and preprocessing feedback information received after publication release, extracting keywords from feedback sentences in the feedback information, and arranging and combining according to the extraction sequence to obtain extracted keyword phrases; sequentially comparing and matching the extracted keyword phrases with pre-constructed keyword libraries with different influence degrees;
if the matching is successful, acquiring keyword influence weights corresponding to a keyword library with successfully matched extracted keyword phrases, and marking auditors corresponding to the extracted keyword phrases;
if the matching is unsuccessful, forwarding the extracted keyword group to an auditor for auditing to obtain the corresponding keyword influence weight, and marking the auditor corresponding to the extracted keyword group;
the publication issue feedback management module is used for evaluating the overall state of the corresponding publication issue examination according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the subsequent publication issue according to the evaluation result; comprising the following steps:
traversing and counting feedback evaluation data of all auditors in different auditing steps, and setting the counted total number of the slightly abnormal tags affected and the total number of the severely abnormal tags affected as a first total number and a second total number; and comparing and judging the first total number and the second total number with a corresponding first threshold value and a corresponding second threshold value respectively to obtain an evaluation result containing the first evaluation signal, the second evaluation signal or the third evaluation signal.
2. The big data-based publication issuance monitoring and management system according to claim 1, wherein the contents of the audit opinions are traversed and counted, the different questions are sequentially extracted with keywords, and the extracted keywords are arranged and combined in the order of the corresponding questions to obtain the audit opinion keyword set.
3. The big data based publication issuance monitoring management system of claim 1, wherein if the audit state factor falls within the audit state range, generating an audit state normal label; if the audit state factor does not belong to the audit state range, generating an audit state abnormal label.
4. The publication issuance monitoring management system based on big data according to claim 1, wherein when negative impact assessment and responsibility tracking are performed on the statistical feedback information, the sequential auditing steps acquire all keyword impact weights corresponding to feedback of different auditors, and mark different auditors corresponding to the different auditing steps; counting and marking the total number of key word influence weights corresponding to different auditors; influence the weight mark to different keywords;
step weights of auditing personnel corresponding to the auditing steps are obtained and marked; extracting the numerical values of all marked data, and parallelly calculating to obtain negative feedback influence coefficients corresponding to different auditors;
when the negative feedback influence states of the corresponding auditors are evaluated according to the negative feedback influence coefficients, comparing and judging the negative feedback influence coefficients with the corresponding negative feedback influence thresholds to obtain feedback evaluation data comprising influence normal labels, influence mild abnormal labels or influence severe abnormal labels, and uploading the feedback evaluation data corresponding to different auditors to the cloud platform.
5. The big data based publication issuance monitoring management system of claim 1, wherein the first evaluation signal is generated if the first total is not greater than a first threshold and the second total is not greater than a second threshold; if the first total number is greater than the first threshold value and the second total number is not greater than the second threshold value, generating a second evaluation signal; if the first total number is greater than the first threshold value and the second total number is greater than the second threshold value, generating a third evaluation signal;
and respectively implementing dynamic adjustment for maintaining the existing auditor scheme, enhancing the auditor training scheme or replacing the auditor scheme according to the first evaluation signal, the second evaluation signal or the third evaluation signal in the evaluation result.
6. A big data based publication issuance monitor management method applied to a big data based publication issuance monitor management system according to any one of claims 1 to 5, comprising:
monitoring and data statistics are carried out on different auditing steps before publication release, and preprocessing is carried out on each item of statistical data to obtain auditing statistics processing data;
sequentially evaluating the auditing states of different auditing steps according to the auditing statistics processing data to obtain an auditing evaluation set containing the evaluating data of different steps;
counting feedback information received after publication release, and carrying out negative influence evaluation and responsibility tracking on the counted feedback information to obtain feedback evaluation data;
and evaluating the overall state of the corresponding publication issuing examination according to all feedback evaluation data of different examination steps, and dynamically adjusting the examination of the subsequent publication issuing according to the evaluation result.
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